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From pgsql-general-owner@postgresql.org Tue Oct 1 14:28:01 2002
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From: Stephan Szabo <sszabo@megazone23.bigpanda.com>
To: Adam Siegel <adam@sycamorehq.com>
Cc: <pgsql-general@postgresql.org>,
<pgsql-performance@postgresql.org>
Subject: Re: [pgsql-performance] Deletes from tables with foreign keys taking
In-Reply-To: <00ca01c26978$490ee4a0$1537140a@orbital.com>
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On Tue, 1 Oct 2002, Adam Siegel wrote:
> I have a table that has about 200 rows in it. I have 2 other tables
> that have about 300,000 rows each that reference the first table
> through a foriegn key. I run a process that rebuilds these tables.
> First I delete the rows in the large tables (takes about 30 seconds),
> then I delete the the rows in the first table (takes about 5 minutes
> !!!). Each of these are done in separate transactions.
>
> If I do a vacuum analyze on each of the large tables just after the
> delete then deleting the rows from the first table takes just a second
> or two. My guess is that postgres is still check the foriegn keys
> from the first table to the others even though the records are deleted
> in the larger tables. The vacuum cleans up the deleted records, so it
> goes faster. Am I wrong. Any ideas?
That seems reasonable. It's still going to be doing some action on those
tables and it's going to have to scan the tables in some case. It's wierd
that it's taking that long to do it in any case however, what does the
schema for the tables look like?
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From: "Adam Siegel" <adam@sycamorehq.com>
To: <pgsql-general@postgresql.org>,
<pgsql-performance@postgresql.org>
Subject: Deletes from tables with foreign keys taking too long
Date: Tue, 1 Oct 2002 14:28:04 -0400
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I have a table that has about 200 rows in it. I have 2 other tables that h=
ave about 300,000 rows each that reference the first table through a forieg=
n key. I run a process that rebuilds these tables. First I delete the row=
s in the large tables (takes about 30 seconds), then I delete the the rows =
in the first table (takes about 5 minutes !!!). Each of these are done in =
separate transactions.
If I do a vacuum analyze on each of the large tables just after the delete =
then deleting the rows from the first table takes just a second or two. My=
guess is that postgres is still check the foriegn keys from the first tabl=
e to the others even though the records are deleted in the larger tables. =
The vacuum cleans up the deleted records, so it goes faster. Am I wrong. =
Any ideas?
Regards,
Adam
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<DIV><FONT face=3DArial size=3D2>I have a table that has about 200 rows in =
it.&nbsp;=20
I have 2 other tables that have about 300,000 rows each that reference the =
first=20
table through a foriegn key.&nbsp; I run a process that rebuilds these=20
tables.&nbsp; First I delete the rows in the large tables (takes about 30=
=20
seconds), then I delete the the rows in the first table (takes about 5 minu=
tes=20
!!!).&nbsp; Each of these are done in separate transactions.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT>&nbsp;</DIV>
<DIV><FONT face=3DArial size=3D2>If I do a vacuum analyze on each of the la=
rge=20
tables just after the delete then deleting the rows from the first table ta=
kes=20
just a second or two.&nbsp; My guess is that postgres is still check the fo=
riegn=20
keys from the first table to the others even though the records are deleted=
in=20
the larger tables.&nbsp; The vacuum cleans up the deleted records, so it go=
es=20
faster.&nbsp; Am I wrong.&nbsp; Any ideas?</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT>&nbsp;</DIV>
<DIV><FONT face=3DArial size=3D2>Regards,</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>Adam</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT>&nbsp;</DIV>
<DIV><FONT face=3DArial size=3D2></FONT>&nbsp;</DIV></BODY></HTML>
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From pgsql-general-owner@postgresql.org Fri Oct 4 09:38:41 2002
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From: Josh Berkus <josh@agliodbs.com>
Organization: Aglio Database Solutions
To: "Adam Siegel" <adam@sycamorehq.com>,
<pgsql-general@postgresql.org>, <pgsql-performance@postgresql.org>
Subject: Re: [pgsql-performance] Deletes from tables with foreign keys taking
too long
Date: Tue, 1 Oct 2002 14:44:05 -0700
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Adam,
> I have a table that has about 200 rows in it. I have 2 other tables that
> have about 300,000 rows each that reference the first table through a
> foriegn key. I run a process that rebuilds these tables. First I delete
> the rows in the large tables (takes about 30 seconds), then I delete the
> the rows in the first table (takes about 5 minutes !!!). Each of these a=
re
> done in separate transactions.
Not that this answers your performance questions, but you will be able to d=
o=20
this faster if you use TRUNCATE instead of DELETE.
--=20
Josh Berkus
josh@agliodbs.com
Aglio Database Solutions
San Francisco
From pgsql-performance-owner@postgresql.org Tue Oct 1 17:52:38 2002
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From: Josh Berkus <josh@agliodbs.com>
Organization: Aglio Database Solutions
To: <pgsql-performance@postgresql.org>
Subject: Comparitive UPDATE speed
Date: Tue, 1 Oct 2002 14:51:29 -0700
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Relative performance question:
I have 2 UPDATE queires in a function.=20
table_a: 117,000 records
table_b: 117,000 records
table_c: 1.5 million records
#1 updates table_a, field_2 from table_b, field_1 based on a joining field=
_3.=20
Around 110,000 updates
#2 updates table_a, field_5 from table_c, field_2 joining on field_3.=20=20
Around 110,000 updates.
#1 takes 5-7 minutes; #2 takes about 15 seconds. The only difference I can=
=20
discern is that table_a, field_2 is indexed and table_a, field_5 is not.
Is it reasonable that updating the index would actually make the query take=
=20
20x longer? If not, I'll post actual table defs and query statements.
--=20
Josh Berkus
josh@agliodbs.com
Aglio Database Solutions
San Francisco
From pgsql-performance-owner@postgresql.org Tue Oct 1 19:49:49 2002
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: Comparitive UPDATE speed
To: Randy Neumann <Randy_Neumann@centralref.com>,
pgsql-performance@postgresql.org
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Randy,
> I'm not sure about 20 times longer but you would have index records
> that
> would need to be changed. Is field_3 indexed in all 3 tables? If
> table_b
> does not have an index on field_3 and the other tables do, I'd guess
> that
> would make this take longer too.
Yeah, they're indexed. I'm going to try the updates without the index
on field_2 tonight.
-Josh Berkus
From pgsql-performance-owner@postgresql.org Wed Oct 2 06:50:03 2002
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Wed, 2 Oct 2002 06:50:05 -0400
Subject: Re: Comparitive UPDATE speed
From: Ron Johnson <ron.l.johnson@cox.net>
To: pgsql-performance@postgresql.org
In-Reply-To: <200210011451.29254.josh@agliodbs.com>
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On Tue, 2002-10-01 at 16:51, Josh Berkus wrote:
> Relative performance question:
>
> I have 2 UPDATE queires in a function.
>
> table_a: 117,000 records
> table_b: 117,000 records
> table_c: 1.5 million records
>
> #1 updates table_a, field_2 from table_b, field_1 based on a joining field_3.
> Around 110,000 updates
> #2 updates table_a, field_5 from table_c, field_2 joining on field_3.
> Around 110,000 updates.
>
> #1 takes 5-7 minutes; #2 takes about 15 seconds. The only difference I can
> discern is that table_a, field_2 is indexed and table_a, field_5 is not.
>
> Is it reasonable that updating the index would actually make the query take
> 20x longer? If not, I'll post actual table defs and query statements.
Absolutely. You are doing lots of extra work.
For each of the 110,000 updates, you are deleting a leaf node from one
part of the index tree and then inserting it into another part of the
tree.
It will get even worse as you add more rows to table_a, since the
index tree will get deeper, and more work work must be done during
each insert and delete.
--
+------------------------------------------------------------+
| Ron Johnson, Jr. mailto:ron.l.johnson@cox.net |
| Jefferson, LA USA http://members.cox.net/ron.l.johnson |
| |
| "What other evidence do you have that they are terrorists, |
| other than that they trained in these camps?" |
| 17-Sep-2002 Katie Couric to an FBI agent regarding the 5 |
| men arrested near Buffalo NY |
+------------------------------------------------------------+
From pgsql-general-owner@postgresql.org Thu Oct 3 08:35:42 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-hackers@postgresql.org
Date: Thu, 03 Oct 2002 18:06:10 +0530
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Subject: Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
Cc: pgsql-general <pgsql-general@postgresql.org>,
"pankaj M. Tolani" <pankaj@pspl.co.in>
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Hi,
Today we concluded test for database performance. Attached are results and the
schema, for those who have missed earlier discussion on this.
We have (almost) decided that we will partition the data across machines. The
theme is, after every some short interval a burst of data will be entered in
new table in database, indexed and vacuume. The table(s) will be inherited so
that query on base table will fetch results from all the children. The
application has to consolidate all the data per node basis. If the database is
not postgresql, app. has to consolidate data across partitions as well.
Now we need to investigate whether selecting on base table to include children
would use indexes created on children table.
It's estimated that when entire data is gathered, total number of children
tables would be around 1K-1.1K across all machines.
This is in point of average rate of data insertion i.e. 5K records/sec and
total data size, estimated to be 9 billion rows max i.e. estimated database
size is 900GB. Obviously it's impossible to keep insertion rate on an indexed
table high as data grows. So partitioning/inheritance looks better approach.
Postgresql is not the final winner as yet. Mysql is in close range. I will keep
you guys posted about the result.
Let me know about any comments..
Bye
Shridhar
--
Price's Advice: It's all a game -- play it to have fun.
--Message-Boundary-2419
Content-type: text/plain; charset=US-ASCII
Content-transfer-encoding: 7BIT
Content-description: Text from file 'pgbenchmark.txt'
Machine
Compaq Proliant Server ML 530
"Intel Xeon 2.4 Ghz Processor x 4, "
"4 GB RAM, 5 x 72.8 GB SCSI HDD "
"RAID 0 (Striping) Hardware Setup, Mandrake Linux 9.0"
"Cost - $13,500 ($1,350 for each additional 72GB HDD)"
Performance Parameter MySQL 3.23.52 MySQL 3.23.52 PostgreSQL 7.2.2
WITHOUT InnoDB WITH InnoDB for with built-in support
for transactional transactional support for transactions
support
Complete Data
Inserts + building a composite index
"40 GB data, 432,000,000 tuples" 3738 secs 18720 secs 20628 secs
"about 100 bytes each, schema on
'schema' sheet"
"composite index on 3 fields
(esn, min, datetime)"
Load Speed 115570 tuples/second 23076 tuples/second 20942 tuples/second
Database Size on Disk 48 GB 87 GB 111 GB
Average per partition
Inserts + building a composite index
"300MB data, 3,000,000 tuples," 28 secs 130 secs 150 secs
"about 100 bytes each, schema on
'schema' sheet"
"composite index on 3 fields
(esn, min, datetime)"
Select Query 7 secs 7 secs 6 secs
based on equality match of 2 fields
(esn and min) - 4 concurrent queries
running
Database Size on Disk 341 MB 619 MB 788 MB
--Message-Boundary-2419
Content-type: text/plain; charset=US-ASCII
Content-transfer-encoding: 7BIT
Content-description: Text from file 'schema.txt'
Field Name Field Type Nullable Indexed
type int no no
esn char (10) no yes
min char (10) no yes
datetime timestamp no yes
opc0 char (3) no no
opc1 char (3) no no
opc2 char (3) no no
dpc0 char (3) no no
dpc1 char (3) no no
dpc2 char (3) no no
npa char (3) no no
nxx char (3) no no
rest char (4) no no
field0 int yes no
field1 char (4) yes no
field2 int yes no
field3 char (4) yes no
field4 int yes no
field5 char (4) yes no
field6 int yes no
field7 char (4) yes no
field8 int yes no
field9 char (4) yes no
--Message-Boundary-2419--
From pgsql-general-owner@postgresql.org Thu Oct 3 08:54:34 2002
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Date: Thu, 03 Oct 2002 08:54:29 -0400
From: "Charles H. Woloszynski" <chw@clearmetrix.com>
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To: shridhar_daithankar@persistent.co.in
Cc: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
"pankaj M. Tolani" <pankaj@pspl.co.in>
Subject: Re: Large databases, performance
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Can you comment on the tools you are using to do the insertions (Perl,
Java?) and the distribution of data (all random, all static), and the
transaction scope (all inserts in one transaction, each insert as a
single transaction, some group of inserts as a transaction).
I'd be curious what happens when you submit more queries than you have
processors (you had four concurrent queries and four CPUs), if you care
to run any additional tests. Also, I'd report the query time in
absolute (like you did) and also in 'Time/number of concurrent queries".
This will give you a sense of how the system is scaling as the workload
increases. Personally I am more concerned about this aspect than the
load time, since I am going to guess that this is where all the time is
spent.
Was the original posting on GENERAL or HACKERS. Is this moving the
PERFORMANCE for follow-up? I'd like to follow this discussion and want
to know if I should join another group?
Thanks,
Charlie
P.S. Anyone want to comment on their expectation for 'commercial'
databases handling this load? I know that we cannot speak about
specific performance metrics on some products (licensing restrictions)
but I'd be curious if folks have seen some of the databases out there
handle these dataset sizes and respond resonably.
Shridhar Daithankar wrote:
>Hi,
>
>Today we concluded test for database performance. Attached are results and the
>schema, for those who have missed earlier discussion on this.
>
>We have (almost) decided that we will partition the data across machines. The
>theme is, after every some short interval a burst of data will be entered in
>new table in database, indexed and vacuume. The table(s) will be inherited so
>that query on base table will fetch results from all the children. The
>application has to consolidate all the data per node basis. If the database is
>not postgresql, app. has to consolidate data across partitions as well.
>
>Now we need to investigate whether selecting on base table to include children
>would use indexes created on children table.
>
>It's estimated that when entire data is gathered, total number of children
>tables would be around 1K-1.1K across all machines.
>
>This is in point of average rate of data insertion i.e. 5K records/sec and
>total data size, estimated to be 9 billion rows max i.e. estimated database
>size is 900GB. Obviously it's impossible to keep insertion rate on an indexed
>table high as data grows. So partitioning/inheritance looks better approach.
>
>Postgresql is not the final winner as yet. Mysql is in close range. I will keep
>you guys posted about the result.
>
>Let me know about any comments..
>
>Bye
> Shridhar
>
>--
>Price's Advice: It's all a game -- play it to have fun.
>
>
>
>
>------------------------------------------------------------------------
>
>Machine
>Compaq Proliant Server ML 530
>"Intel Xeon 2.4 Ghz Processor x 4, "
>"4 GB RAM, 5 x 72.8 GB SCSI HDD "
>"RAID 0 (Striping) Hardware Setup, Mandrake Linux 9.0"
>"Cost - $13,500 ($1,350 for each additional 72GB HDD)"
>
>Performance Parameter MySQL 3.23.52 MySQL 3.23.52 PostgreSQL 7.2.2
> WITHOUT InnoDB WITH InnoDB for with built-in support
> for transactional transactional support for transactions
> support
>Complete Data
>
>Inserts + building a composite index
>"40 GB data, 432,000,000 tuples" 3738 secs 18720 secs 20628 secs
>"about 100 bytes each, schema on
>'schema' sheet"
>"composite index on 3 fields
>(esn, min, datetime)"
>
>Load Speed 115570 tuples/second 23076 tuples/second 20942 tuples/second
>
>Database Size on Disk 48 GB 87 GB 111 GB
>
>Average per partition
>
>Inserts + building a composite index
>"300MB data, 3,000,000 tuples," 28 secs 130 secs 150 secs
>"about 100 bytes each, schema on
>'schema' sheet"
>"composite index on 3 fields
>(esn, min, datetime)"
>
>Select Query 7 secs 7 secs 6 secs
>based on equality match of 2 fields
>(esn and min) - 4 concurrent queries
>running
>
>Database Size on Disk 341 MB 619 MB 788 MB
>
>
>------------------------------------------------------------------------
>
>Field Name Field Type Nullable Indexed
>type int no no
>esn char (10) no yes
>min char (10) no yes
>datetime timestamp no yes
>opc0 char (3) no no
>opc1 char (3) no no
>opc2 char (3) no no
>dpc0 char (3) no no
>dpc1 char (3) no no
>dpc2 char (3) no no
>npa char (3) no no
>nxx char (3) no no
>rest char (4) no no
>field0 int yes no
>field1 char (4) yes no
>field2 int yes no
>field3 char (4) yes no
>field4 int yes no
>field5 char (4) yes no
>field6 int yes no
>field7 char (4) yes no
>field8 int yes no
>field9 char (4) yes no
>
>
>
>------------------------------------------------------------------------
>
>
>---------------------------(end of broadcast)---------------------------
>TIP 2: you can get off all lists at once with the unregister command
> (send "unregister YourEmailAddressHere" to majordomo@postgresql.org)
>
>
--
Charles H. Woloszynski
ClearMetrix, Inc.
115 Research Drive
Bethlehem, PA 18015
tel: 610-419-2210 x400
fax: 240-371-3256
web: www.clearmetrix.com
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Date: Thu, 3 Oct 2002 13:56:03 +0100 (BST)
From: "Nigel J. Andrews" <nandrews@investsystems.co.uk>
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To: Shridhar Daithankar <shridhar_daithankar@persistent.co.in>
Cc: pgsql-general <pgsql-general@postgresql.org>
Subject: Re: Large databases, performance
In-Reply-To: <3D9C8712.9513.9C6521D@localhost>
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Shridhar,
It's one hell of a DB you're building. I'm sure I'm not the only one interested
so to satisfy those of us who are nosey: can you say what the application is?
I'm sure we'll all understand if it's not possible for you mention such
information.
--
Nigel J. Andrews
On Thu, 3 Oct 2002, Shridhar Daithankar wrote:
> Hi,
>
> Today we concluded test for database performance. Attached are results and the
> schema, for those who have missed earlier discussion on this.
>
> We have (almost) decided that we will partition the data across machines. The
> theme is, after every some short interval a burst of data will be entered in
> new table in database, indexed and vacuume. The table(s) will be inherited so
> that query on base table will fetch results from all the children. The
> application has to consolidate all the data per node basis. If the database is
> not postgresql, app. has to consolidate data across partitions as well.
>
> Now we need to investigate whether selecting on base table to include children
> would use indexes created on children table.
>
> It's estimated that when entire data is gathered, total number of children
> tables would be around 1K-1.1K across all machines.
>
> This is in point of average rate of data insertion i.e. 5K records/sec and
> total data size, estimated to be 9 billion rows max i.e. estimated database
> size is 900GB. Obviously it's impossible to keep insertion rate on an indexed
> table high as data grows. So partitioning/inheritance looks better approach.
>
> Postgresql is not the final winner as yet. Mysql is in close range. I will keep
> you guys posted about the result.
>
> Let me know about any comments..
>
> Bye
> Shridhar
From pgsql-general-owner@postgresql.org Thu Oct 3 10:03:00 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-general <pgsql-general@postgresql.org>
Date: Thu, 03 Oct 2002 19:33:30 +0530
MIME-Version: 1.0
Subject: Re: Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
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On 3 Oct 2002 at 13:56, Nigel J. Andrews wrote:
> It's one hell of a DB you're building. I'm sure I'm not the only one interested
> so to satisfy those of us who are nosey: can you say what the application is?
>
> I'm sure we'll all understand if it's not possible for you mention such
> information.
Well, I can't tell everything but somethings I can..
1) This is a system that does not have online capability yet. This is an
attempt to provide one.
2) The goal is to avoid costs like licensing oracle. I am sure this would make
a great example for OSDB advocacy, which ever database wins..
3) The database size estimates, I put earlier i.e. 9 billion tuples/900GB data
size, are in a fixed window. The data is generated from some real time systems.
You can imagine the rate.
4) Further more there are timing restrictions attached to it. 5K inserts/sec.
4800 queries per hour with response time of 10 sec. each. It's this aspect that
has forced us for partitioning..
And contrary to my earlier information, this is going to be a live system
rather than a back up one.. A better win to postgresql.. I hope it makes it.
And BTW, all these results were on reiserfs. We didn't found much of difference
in write performance between them. So we stick to reiserfs. And of course we
got the latest hot shot Mandrake9 with 2.4.19-16 which really made difference
over RHL7.2..
Bye
Shridhar
--
QOTD: "Do you smell something burning or is it me?" -- Joan of Arc
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Date: Thu, 03 Oct 2002 10:26:59 -0400
From: "Charles H. Woloszynski" <chw@clearmetrix.com>
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Subject: Re: Large databases, performance
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Forgive my ignorance, but what about 2.4.19-16 is that much faster? Are
we talking about 2x improvement for your tests? We are currently on
2.4.9 and looking at the performance and wondering... so any comments
are appreciated.
Charlie
Shridhar Daithankar wrote:
>And BTW, all these results were on reiserfs. We didn't found much of difference
>in write performance between them. So we stick to reiserfs. And of course we
>got the latest hot shot Mandrake9 with 2.4.19-16 which really made difference
>over RHL7.2..
>
>Bye
> Shridhar
>
>--
>QOTD: "Do you smell something burning or is it me?" -- Joan of Arc
>
>
>---------------------------(end of broadcast)---------------------------
>TIP 5: Have you checked our extensive FAQ?
>
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>
>
--
Charles H. Woloszynski
ClearMetrix, Inc.
115 Research Drive
Bethlehem, PA 18015
tel: 610-419-2210 x400
fax: 240-371-3256
web: www.clearmetrix.com
From pgsql-general-owner@postgresql.org Thu Oct 3 11:49:44 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-general <pgsql-general@postgresql.org>
Date: Thu, 03 Oct 2002 21:20:16 +0530
MIME-Version: 1.0
Subject: Re: Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
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On 3 Oct 2002 at 10:26, Charles H. Woloszynski wrote:
> Forgive my ignorance, but what about 2.4.19-16 is that much faster? Are
> we talking about 2x improvement for your tests? We are currently on
> 2.4.9 and looking at the performance and wondering... so any comments
> are appreciated.
Well, for one thing, 2.4.19 contains backported O(1) scheduler patch which
improves SMP performance by heaps as task queue is per cpu rather than one per
system. I don't think any system routinely runs thousands of processes unless
it's a web/ftp/mail server. In that case improved scheduling wuld help as
well..
Besides there were major VM rewrites/changes after 2.4.10 which corrected
almost all the major VM fiaskos on linux. For anything VM intensive it's
recommended that you run 2.4.17 at least.
I would say it's worth going for it.
Bye
Shridhar
--
Sturgeon's Law: 90% of everything is crud.
From pgsql-general-owner@postgresql.org Thu Oct 3 11:56:15 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-general <pgsql-general@postgresql.org>
Date: Thu, 03 Oct 2002 21:26:43 +0530
MIME-Version: 1.0
Subject: Re: Large databases, performance
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On 3 Oct 2002 at 19:33, Shridhar Daithankar wrote:
> On 3 Oct 2002 at 13:56, Nigel J. Andrews wrote:
> > It's one hell of a DB you're building. I'm sure I'm not the only one interested
> > so to satisfy those of us who are nosey: can you say what the application is?
> >
> > I'm sure we'll all understand if it's not possible for you mention such
> > information.
>
> Well, I can't tell everything but somethings I can..
>
> 1) This is a system that does not have online capability yet. This is an
> attempt to provide one.
>
> 2) The goal is to avoid costs like licensing oracle. I am sure this would make
> a great example for OSDB advocacy, which ever database wins..
>
> 3) The database size estimates, I put earlier i.e. 9 billion tuples/900GB data
> size, are in a fixed window. The data is generated from some real time systems.
> You can imagine the rate.
Read that fixed time window..
>
> 4) Further more there are timing restrictions attached to it. 5K inserts/sec.
> 4800 queries per hour with response time of 10 sec. each. It's this aspect that
> has forced us for partitioning..
>
> And contrary to my earlier information, this is going to be a live system
> rather than a back up one.. A better win to postgresql.. I hope it makes it.
>
> And BTW, all these results were on reiserfs. We didn't found much of difference
> in write performance between them. So we stick to reiserfs. And of course we
> got the latest hot shot Mandrake9 with 2.4.19-16 which really made difference
> over RHL7.2..
Well, we were comparing ext3 v/s reiserfs. I don't remember the journalling
mode of ext3 but we did a 10 GB write test. Besides converting the RAID to RAID-
0 from RAID-5 might have something to do about it.
There was a discussion on hackers some time back as in which file system is
better. I hope this might have an addition over it..
Bye
Shridhar
--
"What terrible way to die." "There are no good ways." -- Sulu and Kirk, "That
Which Survives", stardate unknown
From pgsql-general-owner@postgresql.org Thu Oct 3 12:01:42 2002
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Subject: Re: Large databases, performance
From: Robert Treat <xzilla@users.sourceforge.net>
Reply-To: pgsql-performance@postgresql.org
To: shridhar_daithankar@persistent.co.in
Cc: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
"pankaj M. Tolani" <pankaj@pspl.co.in>
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NOTE: Setting follow up to the performance list
Funny that the status quo seems to be if you need fast selects on data
that has few inserts to pick mysql, otherwise if you have a lot of
inserts and don't need super fast selects go with PostgreSQL; yet your
data seems to cut directly against this.
I'm curious, did you happen to run the select tests while also running
the insert tests? IIRC the older mysql versions have to lock the table
when doing the insert, so select performance goes in the dumper in that
scenario, perhaps that's not an issue with 3.23.52?
It also seems like the vacuum after each insert is unnecessary, unless
your also deleting/updating data behind it. Perhaps just running an
ANALYZE on the table would suffice while reducing overhead.
Robert Treat
On Thu, 2002-10-03 at 08:36, Shridhar Daithankar wrote:
> Machine
> Compaq Proliant Server ML 530
> "Intel Xeon 2.4 Ghz Processor x 4, "
> "4 GB RAM, 5 x 72.8 GB SCSI HDD "
> "RAID 0 (Striping) Hardware Setup, Mandrake Linux 9.0"
> "Cost - $13,500 ($1,350 for each additional 72GB HDD)"
>
> Performance Parameter MySQL 3.23.52 MySQL 3.23.52 PostgreSQL 7.2.2
> WITHOUT InnoDB WITH InnoDB for with built-in support
> for transactional transactional support for transactions
> support
> Complete Data
>
> Inserts + building a composite index
> "40 GB data, 432,000,000 tuples" 3738 secs 18720 secs 20628 secs
> "about 100 bytes each, schema on
> 'schema' sheet"
> "composite index on 3 fields
> (esn, min, datetime)"
>
> Load Speed 115570 tuples/second 23076 tuples/second 20942 tuples/second
>
> Database Size on Disk 48 GB 87 GB 111 GB
>
> Average per partition
>
> Inserts + building a composite index
> "300MB data, 3,000,000 tuples," 28 secs 130 secs 150 secs
> "about 100 bytes each, schema on
> 'schema' sheet"
> "composite index on 3 fields
> (esn, min, datetime)"
>
> Select Query 7 secs 7 secs 6 secs
> based on equality match of 2 fields
> (esn and min) - 4 concurrent queries
> running
>
> Database Size on Disk 341 MB 619 MB 788 MB
> ----
From pgsql-general-owner@postgresql.org Thu Oct 3 12:07:27 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-hackers@postgresql.org, pgsql-general <pgsql-general@postgresql.org>
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On 3 Oct 2002 at 8:54, Charles H. Woloszynski wrote:
> Can you comment on the tools you are using to do the insertions (Perl,
> Java?) and the distribution of data (all random, all static), and the
> transaction scope (all inserts in one transaction, each insert as a
> single transaction, some group of inserts as a transaction).
Most proably it's all inserts in one transaction spread almost uniformly over
around 15-20 tables. Of course there will be bunch of transactions..
> I'd be curious what happens when you submit more queries than you have
> processors (you had four concurrent queries and four CPUs), if you care
> to run any additional tests. Also, I'd report the query time in
> absolute (like you did) and also in 'Time/number of concurrent queries".
> This will give you a sense of how the system is scaling as the workload
> increases. Personally I am more concerned about this aspect than the
> load time, since I am going to guess that this is where all the time is
> spent.
I don't think so. Because we plan to put enough shared buffers that would
almost contain the indexes in RAM if not data. Besides number of tuples
expected per query are not many. So more concurrent queries are not going to
hog anything other than CPU power at most.
Our major concern remains load time as data is generated in real time and is
expecetd in database with in specified time period. We need indexes for query
and inserting into indexed table is on hell of a job. We did attempt inserting
8GB of data in indexed table. It took almost 20 hours at 1K tuples per second
on average.. Though impressive it's not acceptable for that load..
>
> Was the original posting on GENERAL or HACKERS. Is this moving the
> PERFORMANCE for follow-up? I'd like to follow this discussion and want
> to know if I should join another group?
Shall I subscribe to performance? What's the exat list name? Benchmarks? I
don't see anything as performance mailing list on this page..
http://developer.postgresql.org/mailsub.php?devlp
> P.S. Anyone want to comment on their expectation for 'commercial'
> databases handling this load? I know that we cannot speak about
> specific performance metrics on some products (licensing restrictions)
> but I'd be curious if folks have seen some of the databases out there
> handle these dataset sizes and respond resonably.
Well, if something handles such kind of data with single machine and costs
under USD20K for entire setup, I would be willing to recommend that to client..
BTW we are trying same test on HP-UX. I hope we get some better figures on 64
bit machines..
Bye
Shridhar
--
Clarke's Conclusion: Never let your sense of morals interfere with doing the
right thing.
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From: Justin Clift <justin@postgresql.org>
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Subject: Re: [HACKERS] Large databases, performance
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Shridhar Daithankar wrote:
<snip>
> > Was the original posting on GENERAL or HACKERS. Is this moving the
> > PERFORMANCE for follow-up? I'd like to follow this discussion and want
> > to know if I should join another group?
>
> Shall I subscribe to performance? What's the exat list name? Benchmarks? I
> don't see anything as performance mailing list on this page..
> http://developer.postgresql.org/mailsub.php?devlp
It's a fairly new mailing list. :)
pgsql-performance@postgresql.org
Easiest way to subscribe is by emailing majordomo@postgresql.org with:
subscribe pgsql-performance
as the message body.
:-)
Regards and best wishes,
Justin Clift
<snip>
> Bye
> Shridhar
>
> --
> Clarke's Conclusion: Never let your sense of morals interfere with doing the
> right thing.
>
> ---------------------------(end of broadcast)---------------------------
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> (send "unregister YourEmailAddressHere" to majordomo@postgresql.org)
--
"My grandfather once told me that there are two kinds of people: those
who work and those who take the credit. He told me to try to be in the
first group; there was less competition there."
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-performance@postgresql.org, pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
"pankaj M. Tolani" <pankaj@pspl.co.in>
Date: Thu, 03 Oct 2002 21:47:03 +0530
MIME-Version: 1.0
Subject: Re: Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
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On 3 Oct 2002 at 11:57, Robert Treat wrote:
> NOTE: Setting follow up to the performance list
>
> Funny that the status quo seems to be if you need fast selects on data
> that has few inserts to pick mysql, otherwise if you have a lot of
> inserts and don't need super fast selects go with PostgreSQL; yet your
> data seems to cut directly against this.
Well, couple of things..
The number of inserts aren't few. it's 5000/sec.required in the field Secondly
I don't know really but postgresql seems doing pretty fine in parallel selects.
If we use mysql with transaction support then numbers are really close..
May be it's time to rewrite famous myth that postgresql is slow. When properly
tuned or given enough head room, it's almost as fast as mysql..
> I'm curious, did you happen to run the select tests while also running
> the insert tests? IIRC the older mysql versions have to lock the table
> when doing the insert, so select performance goes in the dumper in that
> scenario, perhaps that's not an issue with 3.23.52?
IMO even if it locks tables that shouldn't affect select performance. It would
be fun to watch when we insert multiple chunks of data and fire queries
concurrently. I would be surprised if mysql starts slowing down..
> It also seems like the vacuum after each insert is unnecessary, unless
> your also deleting/updating data behind it. Perhaps just running an
> ANALYZE on the table would suffice while reducing overhead.
I believe that was vacuum analyze only. But still it takes lot of time. Good
thing is it's not blocking..
Anyway I don't think such frequent vacuums are going to convince planner to
choose index scan over sequential scan. I am sure it's already convinced..
Regards,
Shridhar
-----------------------------------------------------------
Shridhar Daithankar
LIMS CPE Team Member, PSPL.
mailto:shridhar_daithankar@persistent.co.in
Phone:- +91-20-5678900 Extn.270
Fax :- +91-20-5678901
-----------------------------------------------------------
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Subject: Re: [HACKERS] Large databases, performance
From: Greg Copeland <greg@CopelandConsulting.Net>
To: shridhar_daithankar@persistent.co.in
Cc: pgsql-general <pgsql-general@postgresql.org>,
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On Thu, 2002-10-03 at 10:56, Shridhar Daithankar wrote:
> Well, we were comparing ext3 v/s reiserfs. I don't remember the journalli=
ng=20
> mode of ext3 but we did a 10 GB write test. Besides converting the RAID t=
o RAID-
> 0 from RAID-5 might have something to do about it.
>=20
> There was a discussion on hackers some time back as in which file system =
is=20
> better. I hope this might have an addition over it..
Hmm. Reiserfs' claim to fame is it's low latency with many, many small
files and that it's journaled. I've never seem anyone comment about it
being considered an extremely fast file system in an general computing
context nor have I seen any even hint at it as a file system for use in
heavy I/O databases. This is why Reiserfs is popular with news and
squid cache servers as it's almost an ideal fit. That is, tons of small
files or directories contained within a single directory. As such, I'm
very surprised that reiserfs is even in the running for your comparison.
Might I point you toward XFS, JFS, or ext3, ? As I understand it, XFS
and JFS are going to be your preferred file systems for for this type of
application with XFS in the lead as it's tool suite is very rich and
robust. I'm actually lacking JFS experience but from what I've read,
it's a notch or two back from XFS in robustness (assuming we are talking
Linux here). Feel free to read and play to find out for your self. I'd
recommend that you start playing with XFS to see how the others
compare. After all, XFS' specific claim to fame is high throughput w/
low latency on large and very large files. Furthermore, they even have
a real time mechanism that you can further play with to see how it
effects your throughput and/or latencies.
Greg
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Subject: Re: Large databases, performance
From: Robert Treat <xzilla@users.sourceforge.net>
To: shridhar_daithankar@persistent.co.in
Cc: pgsql-performance@postgresql.org
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On Thu, 2002-10-03 at 12:17, Shridhar Daithankar wrote:
> On 3 Oct 2002 at 11:57, Robert Treat wrote:
> May be it's time to rewrite famous myth that postgresql is slow.
That myth has been dis-proven long ago, it just takes awhile for
everyone to catch on ;-)
When properly
> tuned or given enough head room, it's almost as fast as mysql..
>
> > I'm curious, did you happen to run the select tests while also running
> > the insert tests? IIRC the older mysql versions have to lock the table
> > when doing the insert, so select performance goes in the dumper in that
> > scenario, perhaps that's not an issue with 3.23.52?
>
> IMO even if it locks tables that shouldn't affect select performance. It would
> be fun to watch when we insert multiple chunks of data and fire queries
> concurrently. I would be surprised if mysql starts slowing down..
>
Hmm... been awhile since I dug into mysql internals, but IIRC once the
table was locked, you had to wait for the insert to complete so the
table would be unlocked and the select could go through. (maybe this is
a myth that I need to get clued in on)
> > It also seems like the vacuum after each insert is unnecessary, unless
> > your also deleting/updating data behind it. Perhaps just running an
> > ANALYZE on the table would suffice while reducing overhead.
>
> I believe that was vacuum analyze only. But still it takes lot of time. Good
> thing is it's not blocking..
>
> Anyway I don't think such frequent vacuums are going to convince planner to
> choose index scan over sequential scan. I am sure it's already convinced..
>
My thinking was that if your just doing inserts, you need to update the
statistics but don't need to check on unused tuples.
Robert Treat
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--
Best Regards,
Mike Benoit
NetNation Communication Inc.
Systems Engineer
Tel: 604-684-6892 or 888-983-6600
---------------------------------------
Disclaimer: Opinions expressed here are my own and not
necessarily those of my employer
From pgsql-general-owner@postgresql.org Thu Oct 3 12:29:48 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: Greg Copeland <greg@copelandconsulting.net>
Date: Thu, 03 Oct 2002 22:00:18 +0530
MIME-Version: 1.0
Subject: Re: [HACKERS] Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
Cc: pgsql-general <pgsql-general@postgresql.org>,
PostgresSQL Hackers Mailing List <pgsql-hackers@postgresql.org>,
"pankaj M. Tolani" <pankaj@pspl.co.in>
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On 3 Oct 2002 at 11:23, Greg Copeland wrote:
> On Thu, 2002-10-03 at 10:56, Shridhar Daithankar wrote:
> > Well, we were comparing ext3 v/s reiserfs. I don't remember the journalling
> > mode of ext3 but we did a 10 GB write test. Besides converting the RAID to RAID-
> > 0 from RAID-5 might have something to do about it.
> >
> > There was a discussion on hackers some time back as in which file system is
> > better. I hope this might have an addition over it..
>
>
> Hmm. Reiserfs' claim to fame is it's low latency with many, many small
> files and that it's journaled. I've never seem anyone comment about it
> being considered an extremely fast file system in an general computing
> context nor have I seen any even hint at it as a file system for use in
> heavy I/O databases. This is why Reiserfs is popular with news and
> squid cache servers as it's almost an ideal fit. That is, tons of small
> files or directories contained within a single directory. As such, I'm
> very surprised that reiserfs is even in the running for your comparison.
>
> Might I point you toward XFS, JFS, or ext3, ? As I understand it, XFS
> and JFS are going to be your preferred file systems for for this type of
> application with XFS in the lead as it's tool suite is very rich and
> robust. I'm actually lacking JFS experience but from what I've read,
> it's a notch or two back from XFS in robustness (assuming we are talking
> Linux here). Feel free to read and play to find out for your self. I'd
> recommend that you start playing with XFS to see how the others
> compare. After all, XFS' specific claim to fame is high throughput w/
> low latency on large and very large files. Furthermore, they even have
> a real time mechanism that you can further play with to see how it
> effects your throughput and/or latencies.
I would try that. Once we are thr. with tests at our hands..
Bye
Shridhar
--
"The combination of a number of things to make existence worthwhile." "Yes,
the philosophy of 'none,' meaning 'all.'" -- Spock and Lincoln, "The Savage
Curtain", stardate 5906.4
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-performance@postgresql.org
Date: Thu, 03 Oct 2002 22:05:24 +0530
MIME-Version: 1.0
Subject: Re: Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
Cc: "pankaj M. Tolani" <pankaj@pspl.co.in>
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On 3 Oct 2002 at 12:26, Robert Treat wrote:
> On Thu, 2002-10-03 at 12:17, Shridhar Daithankar wrote:
> > On 3 Oct 2002 at 11:57, Robert Treat wrote:
> > May be it's time to rewrite famous myth that postgresql is slow.
>
> That myth has been dis-proven long ago, it just takes awhile for
> everyone to catch on ;-)
:-)
> Hmm... been awhile since I dug into mysql internals, but IIRC once the
> table was locked, you had to wait for the insert to complete so the
> table would be unlocked and the select could go through. (maybe this is
> a myth that I need to get clued in on)
If that turns out to be true, I guess mysql will nose dive out of window.. May
be time to run a test that's nearer to real world expectation, especially in
terms on concurrency..
I don't think tat will be an issue with mysql with transaction support. The
vanilla one might suffer.. Not the other one.. At least theoretically..
> My thinking was that if your just doing inserts, you need to update the
> statistics but don't need to check on unused tuples.
Any other way of doing that other than vacuum analyze? I thought that was the
only way..
Bye
Shridhar
--
"Even more amazing was the realization that God has Internet access. Iwonder
if He has a full newsfeed?"(By Matt Welsh)
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From: Manfred Koizar <mkoi-pg@aon.at>
To: shridhar_daithankar@persistent.co.in
Cc: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
"pankaj M. Tolani" <pankaj@pspl.co.in>
Subject: Re: Large databases, performance
Date: Thu, 03 Oct 2002 18:44:09 +0200
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On Thu, 03 Oct 2002 18:06:10 +0530, "Shridhar Daithankar"
<shridhar_daithankar@persistent.co.in> wrote:
>Machine
>Compaq Proliant Server ML 530
>"Intel Xeon 2.4 Ghz Processor x 4, "
>"4 GB RAM, 5 x 72.8 GB SCSI HDD "
>"RAID 0 (Striping) Hardware Setup, Mandrake Linux 9.0"
Shridhar,
forgive me if I ask what has been said before: Did you run at 100%
CPU or was IO bandwidth your limit? And is the answer the same for
all three configurations?
Servus
Manfred
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To: shridhar_daithankar@persistent.co.in,
pgsql-performance@postgresql.org, pgsql-general@postgresql.org
Subject: Re: [HACKERS] Large databases, performance
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Shridhar Daithankar wrote:
>On 3 Oct 2002 at 11:57, Robert Treat wrote:
>
>
>
>>NOTE: Setting follow up to the performance list
>>
>>Funny that the status quo seems to be if you need fast selects on data
>>that has few inserts to pick mysql, otherwise if you have a lot of
>>inserts and don't need super fast selects go with PostgreSQL; yet your
>>data seems to cut directly against this.
>>
>>
>
>Well, couple of things..
>
>The number of inserts aren't few. it's 5000/sec.required in the field Secondly
>I don't know really but postgresql seems doing pretty fine in parallel selects.
>If we use mysql with transaction support then numbers are really close..
>
>May be it's time to rewrite famous myth that postgresql is slow. When properly
>tuned or given enough head room, it's almost as fast as mysql..
>
>
In the case of concurrent transactions MySQL does not do as well due to
very bad locking behavious. PostgreSQL is far better because it does row
level locking instead of table locking.
If you have many concurrent transactions MySQL performs some sort of
"self-denial-of-service". I'd choose PostgreSQL in order to make sure
that the database does not block.
>>I'm curious, did you happen to run the select tests while also running
>>the insert tests? IIRC the older mysql versions have to lock the table
>>when doing the insert, so select performance goes in the dumper in that
>>scenario, perhaps that's not an issue with 3.23.52?
>>
>>
>
>IMO even if it locks tables that shouldn't affect select performance. It would
>be fun to watch when we insert multiple chunks of data and fire queries
>concurrently. I would be surprised if mysql starts slowing down..
>
>
In the case of concurrent SELECTs and INSERT/UPDATE/DELETE operations
MySQL will slow down for sure. The more concurrent transactions you have
the worse MySQL will be.
>>It also seems like the vacuum after each insert is unnecessary, unless
>>your also deleting/updating data behind it. Perhaps just running an
>>ANALYZE on the table would suffice while reducing overhead.
>>
>>
>
>I believe that was vacuum analyze only. But still it takes lot of time. Good
>thing is it's not blocking..
>
>Anyway I don't think such frequent vacuums are going to convince planner to
>choose index scan over sequential scan. I am sure it's already convinced..
>
>
PostgreSQL allows you to improve execution plans by giving the planner a
hint.
In addition to that: if you need REAL performance and if you are running
similar queries consider using SPI.
Also: 7.3 will support PREPARE/EXECUTE.
If you are running MySQL you will not be able to add features to the
database easily.
In the case of PostgreSQL you have a broad range of simple interfaces
which make many things pretty simple (eg. optimized data types in < 50
lines of C code).
PostgreSQL is the database of the future and you can perform a lot of
tuning.
MySQL is a simple frontend to a filesystem and it is fast as long as you
are doing SELECT 1+1 operations.
Also: Keep in mind that PostgreSQL has a wonderful core team. MySQL is
built on Monty Widenius and the core team = Monty.
Also: PostgreSQL = ANSI compilant, MySQL = Monty compliant
In the past few years I have seen that there is no database system which
can beat PostgreSQL's flexibility and stability.
I am familiar with various database systems but believe: PostgreSQL is
the best choice.
Hans
>Regards,
> Shridhar
>
>-----------------------------------------------------------
>Shridhar Daithankar
>LIMS CPE Team Member, PSPL.
>mailto:shridhar_daithankar@persistent.co.in
>Phone:- +91-20-5678900 Extn.270
>Fax :- +91-20-5678901
>-----------------------------------------------------------
>
>
>---------------------------(end of broadcast)---------------------------
>TIP 6: Have you searched our list archives?
>
>http://archives.postgresql.org
>
>
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From: Manfred Koizar <mkoi-pg@aon.at>
To: shridhar_daithankar@persistent.co.in
Cc: pgsql-performance@postgresql.org, pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
"pankaj M. Tolani" <pankaj@pspl.co.in>
Subject: Re: [HACKERS] Large databases, performance
Date: Thu, 03 Oct 2002 18:53:32 +0200
Message-ID: <latopug1vl51769nkn3rj2ltdhjvqrbfof@4ax.com>
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On Thu, 03 Oct 2002 21:47:03 +0530, "Shridhar Daithankar"
<shridhar_daithankar@persistent.co.in> wrote:
>I believe that was vacuum analyze only.
Well there is
VACUUM [tablename];
and there is
ANALYZE [tablename];
And
VACUUM ANALYZE [tablename];
is VACUUM followed by ANALYZE.
Servus
Manfred
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Subject: Re: Large databases, performance
From: Ron Johnson <ron.l.johnson@cox.net>
To: pgsql-performance@postgresql.org
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On Thu, 2002-10-03 at 11:17, Shridhar Daithankar wrote:
> On 3 Oct 2002 at 11:57, Robert Treat wrote:
>
[snip]
> > I'm curious, did you happen to run the select tests while also running
> > the insert tests? IIRC the older mysql versions have to lock the table
> > when doing the insert, so select performance goes in the dumper in that
> > scenario, perhaps that's not an issue with 3.23.52?
>
> IMO even if it locks tables that shouldn't affect select performance. It would
> be fun to watch when we insert multiple chunks of data and fire queries
> concurrently. I would be surprised if mysql starts slowing down..
What kind of lock? Shared lock or exclusive lock? If SELECT
performance tanked when doing simultaneous INSERTs, then maybe there
were exclusive table locks.
--
+------------------------------------------------------------+
| Ron Johnson, Jr. mailto:ron.l.johnson@cox.net |
| Jefferson, LA USA http://members.cox.net/ron.l.johnson |
| |
| "What other evidence do you have that they are terrorists, |
| other than that they trained in these camps?" |
| 17-Sep-2002 Katie Couric to an FBI agent regarding the 5 |
| men arrested near Buffalo NY |
+------------------------------------------------------------+
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Subject: Re: [HACKERS] Large databases, performance
From: Ron Johnson <ron.l.johnson@cox.net>
To: pgsql-performance@postgresql.org
In-Reply-To: <3D9C7579.2010206@cybertec.at>
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On Thu, 2002-10-03 at 11:51, Hans-J=FCrgen Sch=F6nig wrote:
> Shridhar Daithankar wrote:
>=20
> >On 3 Oct 2002 at 11:57, Robert Treat wrote:
[snip]
> PostgreSQL allows you to improve execution plans by giving the planner a=
=20
> hint.
> In addition to that: if you need REAL performance and if you are running=
=20
> similar queries consider using SPI.
What is SPI?
--=20
+------------------------------------------------------------+
| Ron Johnson, Jr. mailto:ron.l.johnson@cox.net |
| Jefferson, LA USA http://members.cox.net/ron.l.johnson |
| |
| "What other evidence do you have that they are terrorists, |
| other than that they trained in these camps?" |
| 17-Sep-2002 Katie Couric to an FBI agent regarding the 5 |
| men arrested near Buffalo NY |
+------------------------------------------------------------+
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Date: Thu, 3 Oct 2002 17:09:20 -0400
From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: [HACKERS] Large databases, performance
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On Thu, Oct 03, 2002 at 06:51:05PM +0200, Hans-J?rgen Sch?nig wrote:
> In the case of concurrent transactions MySQL does not do as well due to
> very bad locking behavious. PostgreSQL is far better because it does row
> level locking instead of table locking.
It is my understanding that MySQL no longer does this on InnoDB
tables. Whether various bag-on-the-side table types are a good thing
I will leave to others; but there's no reason to go 'round making
claims about old versions of MySQL any more than there is a reason to
continue to talk about PostgreSQL not being crash safe. MySQL has
moved along nearly as quickly as PostgreSQL.
A
--
----
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To: pgsql-performance@postgresql.org
Subject: use [PERF] instead of
References: <3D9C8712.9513.9C6521D@localhost>
<3D9CBAD7.23509.A908C61@localhost> <3D9C7579.2010206@cybertec.at>
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May I suggest that instead of [pgsql-performance] that [PERF] be used to
save some of the subject line.
Ron Johnson wrote:
>=20
> On Thu, 2002-10-03 at 11:51, Hans-J=FCrgen Sch=F6nig wrote:
> > Shridhar Daithankar wrote:
> >
> > >On 3 Oct 2002 at 11:57, Robert Treat wrote:
> [snip]
> > PostgreSQL allows you to improve execution plans by giving the planner a
> > hint.
> > In addition to that: if you need REAL performance and if you are running
> > similar queries consider using SPI.
>=20
> What is SPI?
>=20
> --
> +------------------------------------------------------------+
> | Ron Johnson, Jr. mailto:ron.l.johnson@cox.net |
> | Jefferson, LA USA http://members.cox.net/ron.l.johnson |
> | |
> | "What other evidence do you have that they are terrorists, |
> | other than that they trained in these camps?" |
> | 17-Sep-2002 Katie Couric to an FBI agent regarding the 5 |
> | men arrested near Buffalo NY |
> +------------------------------------------------------------+
>=20
> ---------------------------(end of broadcast)---------------------------
> TIP 2: you can get off all lists at once with the unregister command
> (send "unregister YourEmailAddressHere" to majordomo@postgresql.org)
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Subject: Re: [GENERAL] Performance while loading data and indexing
From: Mike Benoit <mikeb@netnation.com>
To: pgsql-hackers@postgreSQL.org
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Some of you may be interested in this seemingly exhaustive benchmark
between ext2/3, ReiserFS, JFS, and XFS.
http://www.osdl.org/presentations/lwe-jgfs.pdf
From pgsql-hackers-owner@postgresql.org Thu Oct 3 19:35:53 2002
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Subject: Re: [GENERAL] Performance while loading data and indexing
From: Greg Copeland <greg@CopelandConsulting.Net>
To: Mike Benoit <mikeb@netnation.com>
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Hey, excellent. Thanks!
Based on that, it appears that XFS is a pretty good FS to use. For me,
the real surprise was how well reiserfs performed.
Greg
On Thu, 2002-10-03 at 18:09, Mike Benoit wrote:
> Some of you may be interested in this seemingly exhaustive benchmark
> between ext2/3, ReiserFS, JFS, and XFS.
>=20
> http://www.osdl.org/presentations/lwe-jgfs.pdf
>=20
>=20
>=20
> ---------------------------(end of broadcast)---------------------------
> TIP 6: Have you searched our list archives?
>=20
> http://archives.postgresql.org
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From pgsql-hackers-owner@postgresql.org Thu Oct 3 20:01:32 2002
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From: Bruce Momjian <pgman@candle.pha.pa.us>
Message-Id: <200210032359.g93NxuZ07976@candle.pha.pa.us>
Subject: Re: [GENERAL] Performance while loading data and indexing
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To: Greg Copeland <greg@CopelandConsulting.Net>
Date: Thu, 3 Oct 2002 19:59:56 -0400 (EDT)
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Greg Copeland wrote:
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> Hey, excellent. Thanks!
>
> Based on that, it appears that XFS is a pretty good FS to use. For me,
> the real surprise was how well reiserfs performed.
>
OK, hardware performance paper updated:
---------------------------------------------------------------------------
File system choice is particularly difficult on Linux because there are
so many file system choices, and none of them are optimal: ext2 is not
entirely crash-safe, ext3, xfs, and jfs are journal-based, and Reiser is
optimized for small files and does journalling. The journalling file
systems can be significantly slower than ext2 but when crash recovery is
required, ext2 isn't an option. If ext2 must be used, mount it with sync
enabled. Some people recommend xfs or an ext3 filesystem mounted with
data=writeback.
--
Bruce Momjian | http://candle.pha.pa.us
pgman@candle.pha.pa.us | (610) 359-1001
+ If your life is a hard drive, | 13 Roberts Road
+ Christ can be your backup. | Newtown Square, Pennsylvania 19073
From pgsql-general-owner@postgresql.org Fri Oct 4 04:00:33 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-performance@postgresql.org, pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
"pankaj M. Tolani" <pankaj@pspl.co.in>
Date: Fri, 04 Oct 2002 13:30:54 +0530
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Subject: Re: [HACKERS] Large databases, performance
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On 3 Oct 2002 at 18:53, Manfred Koizar wrote:
> On Thu, 03 Oct 2002 21:47:03 +0530, "Shridhar Daithankar"
> <shridhar_daithankar@persistent.co.in> wrote:
> >I believe that was vacuum analyze only.
>
> Well there is
>
> VACUUM [tablename];
>
> and there is
>
> ANALYZE [tablename];
>
> And
>
> VACUUM ANALYZE [tablename];
>
> is VACUUM followed by ANALYZE.
I was using vacuum analyze.
Good that you pointed out. Now I will modify the postgresql auto vacuum daemon
that I wrote to analyze only in case of excesive inserts. I hope that's lighter
on performance compared to vacuum analyze..
Bye
Shridhar
--
Mix's Law: There is nothing more permanent than a temporary building. There is
nothing more permanent than a temporary tax.
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: Comparitive UPDATE speed
To: Ron Johnson <ron.l.johnson@cox.net>
Cc: pgsql-performance@postgresql.org
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Folks,
Sorry for the double-quoting here. I sent this to just Ron by
accident. My original question is double-quoted, Ron is quoted, and my
responses are below. Thanks!
> > Ok, I'm still confused.
> >
> > I'm updating a (not not indexed) field in a 117,000 row table based
> on
> > information in another 117,000 row table. The update is an
> integer, and the
> > linking fields are indexed. Yet the two queries are flattening my
>
> > dual-processor, RAID5 database server for up to 11 minutes ...
> using 230mb
> > ram the entire time. I simply can't believe that these two
> queries are that
> > difficult.
>
> So there's no index on elbs_matter_links.case_id? From your original
>
> post, I thought that there *is* an index on that field.
I'm now dropping it before the update. Unfortunately, dropping the
index made no appreciable gain in performance.
> > I've increased the memory available to the update to 256mb, and
> tried forcing
> > an index scan ... to no avail. Ideas, please?
> >
> > The queries:
> >
> > UPDATE elbs_matter_links SET case_id = case_clients.case_id
> > FROM case_clients
> > WHERE elbs_matter_links.mmatter = case_clients.matter_no;
>
> What happens if you run the query:
> SELECT eml.case_id, cc.case_id, eml.mmatter, cc.matter_no
> FROM elbs_matter_links eml,
> case_clients cc
> WHERE eml.mmatter = cc.matter_no;
>
> That, for all intents and purposes, is your UPDATE statement, just
> without doing the UPDATE. How fast does it run?
Slowly. It takes about 60 seconds to return data. This may be the
problem. Thoughts? Here's EXPLAIN output:
Hash Join (cost=3076.10..91842.88 rows=108648 width=40)
-> Seq Scan on elbs_matter_links eml (cost=0.00..85641.87
rows=117787 width=20)
-> Hash (cost=2804.48..2804.48 rows=108648 width=20)
-> Seq Scan on case_clients cc (cost=0.00..2804.48
rows=108648 width=20)
According to the parser, using the indexes would be worse:
Merge Join (cost=0.00..520624.38 rows=108648 width=40)
-> Index Scan using idx_eml_mmatter on elbs_matter_links eml
(cost=0.00..451735.00 rows=117787 width=20)
-> Index Scan using idx_caseclients_matter on case_clients cc
(cost=0.00..66965.20 rows=108648 width=20)
Though in practice, a forced index scan returns rows in about 60
seconds, same as the SeqScan version.
All of this seems very costly for a query that, while it does return a
lot of rows, is essentially a very simple query.
More importantly, on the hardware I'm using, I would expect better
performance that I get on my laptop ... and I'm not seeing it. I just
can't believe that the simple query above could soak 200mb of RAM for a
full 60 seconds to return a result. It's like queries over a certain
result size on the system choke postgres.
My reference data below:
==============================================
>
> > UPDATE elbs_matter_links SET case_id = cases.case_id
> > FROM cases
> > WHERE elbs_matter_links.docket = cases.docket
> > AND elbs_matter_links.case_id IS NULL;
> >
> >
> > EXPLAIN output:
> >
> > Hash Join (cost=4204.83..39106.77 rows=8473 width=299)
> > -> Index Scan using idx_eml_mmatter on elbs_matter_links
> > (cost=0.00..34668.94 rows=8473 width=279)
> > -> Hash (cost=2808.38..2808.38 rows=109038 width=20)
> > -> Seq Scan on case_clients (cost=0.00..2808.38
> rows=109038
> > width=20)
> >
> > Nested Loop (cost=0.00..32338.47 rows=99 width=300)
> > -> Seq Scan on cases (cost=0.00..9461.97 rows=4297 width=21)
> > -> Index Scan using idx_eml_docket on elbs_matter_links
> (cost=0.00..5.31
> > rows=1 width=279)
> >
> > Table defintions:
> >
> > Table "elbs_matter_links"
> > Column | Type | Modifiers
> > ------------------+-----------------------+-----------------------
> > mmatter | character varying(15) | not null
> > case_id | integer |
> > matter_check | character varying(20) | not null default 'OK'
> > docket | character varying(50) |
> > case_name | character varying(50) |
> > practice | character varying(50) |
> > opp_counsel_name | character varying(50) |
> > opp_counsel_id | integer |
> > act_type | character varying(10) |
> > lead_case_id | integer |
> > lead_case_docket | character varying(50) |
> > disease | character varying(50) |
> > docket_no | character varying(25) |
> > juris_state | character varying(6) |
> > juris_local | character varying(20) |
> > status | smallint | not null default 1
> > client_id | integer |
> > office_loc | character varying(5) |
> > date_filed | date |
> > date_served | date |
> > date_resolved | date |
> > case_status | character varying(5) |
> > settle_amount | numeric(12,2) | default 0
> > narrative | text |
> > comment | character varying(50) |
> > client_no | character varying(10) |
> > juris_id | integer |
> > Indexes: idx_eml_check,
> > idx_eml_docket,
> > idx_eml_mmatter
> > Primary key: elbs_matter_links_pkey
> >
> > Table "case_clients"
> > Column | Type |
> Modifiers
> >
>
------------------+-----------------------+----------------------------------------------------
> > case_client_id | integer | not null default
> > nextval('case_clients_seq'::text)
> > case_id | integer | not null
> > client_id | integer | not null
> > office_loc | character varying(5) |
> > date_filed | date |
> > date_served | date |
> > date_resolved | date |
> > matter_no | character varying(15) | not null
> > case_status | character varying(5) | not null
> > settle_amount | numeric(14,2) | not null default 0
> > matter_narrative | text |
> > comment | character varying(50) |
> > Indexes: idx_case_clients_client,
> > idx_caseclients_case,
> > idx_caseclients_matter,
> > idx_caseclients_resolved,
> > idx_caseclients_served,
> > idx_caseclients_status
> > Primary key: case_clients_pkey
> >
> >
> > Table "cases"
> > Column | Type |
> Modifiers
> >
>
------------------+-----------------------+---------------------------------------------
> > case_id | integer | not null default
> > nextval('cases_seq'::text)
> > docket | character varying(50) | not null
> > case_name | character varying(50) | not null
> > practice | character varying(50) | not null
> > opp_counsel_name | character varying(50) |
> > opp_counsel_id | integer |
> > act_type | character varying(10) |
> > lead_case_id | integer |
> > lead_case_docket | character varying(50) |
> > disease | character varying(50) |
> > docket_no | character varying(25) | not null
> > juris_state | character varying(6) | not null
> > juris_local | character varying(20) |
> > tgroup_id | integer |
> > status | smallint | not null default 1
> > juris_id | integer |
> > Indexes: idx_case_cases_juris,
> > idx_cases_docket,
> > idx_cases_lead,
> > idx_cases_name,
> > idx_cases_status,
> > idx_cases_tgroup,
> > idx_lower_case_name
> >
> >
> >
> > --
> > Josh Berkus
> > josh@agliodbs.com
> > Aglio Database Solutions
> > San Francisco
> --
> +------------------------------------------------------------+
> | Ron Johnson, Jr. mailto:ron.l.johnson@cox.net |
> | Jefferson, LA USA http://members.cox.net/ron.l.johnson |
> | |
> | "What other evidence do you have that they are terrorists, |
> | other than that they trained in these camps?" |
> | 17-Sep-2002 Katie Couric to an FBI agent regarding the 5 |
> | men arrested near Buffalo NY |
> +------------------------------------------------------------+
>
______AGLIO DATABASE SOLUTIONS___________________________
Josh Berkus
Complete information technology josh@agliodbs.com
and data management solutions (415) 565-7293
for law firms, small businesses fax 621-2533
and non-profit organizations. San Francisco
From pgsql-general-owner@postgresql.org Fri Oct 4 12:17:40 2002
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Date: Fri, 4 Oct 2002 10:05:10 -0600 (MDT)
From: "scott.marlowe" <scott.marlowe@ihs.com>
To: <hs@cybertec.at>
Cc: <shridhar_daithankar@persistent.co.in>,
<pgsql-performance@postgresql.org>, <pgsql-general@postgresql.org>
Subject: Re: [HACKERS] Large databases, performance
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On Thu, 3 Oct 2002, Hans-J�rgen Sch�nig wrote:
> In the case of concurrent transactions MySQL does not do as well due to
> very bad locking behavious. PostgreSQL is far better because it does row
> level locking instead of table locking.
> If you have many concurrent transactions MySQL performs some sort of
> "self-denial-of-service". I'd choose PostgreSQL in order to make sure
> that the database does not block.
While I'm no big fan of MySQL, I must point out that with innodb tables,
the locking is row level, and the ability to handle parallel read / write
is much improved.
Also, Postgresql does NOT use row level locking, it uses MVCC, which is
"better than row level locking" as Tom puts it.
Of course, hot backup is only 2,000 Euros for an innodb table mysql, while
hot backup for postgresql is free. :-)
That said, MySQL still doesn't handle parallel load nearly as well as
postgresql, it's just better than it once was.
> Also: Keep in mind that PostgreSQL has a wonderful core team. MySQL is
> built on Monty Widenius and the core team = Monty.
> Also: PostgreSQL = ANSI compilant, MySQL = Monty compliant
This is a very valid point. The "committee" that creates and steers
Postgresql is very much a meritocracy. The "committee" that steers MySQL
is Monty.
I'm much happier knowing that every time something important needs to be
done we have a whole cupboard full of curmudgeons arguing the fine points
so that the "right thing" gets done.
From pgsql-general-owner@postgresql.org Mon Oct 7 08:37:33 2002
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Subject: Re: [HACKERS] Large databases, performance
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MVCC = great ...
I know that is not row level locking but that's the way things can be
explained more easily. Many people are asking my how things work and
this way it is easier to understand. Never tell a trainee about deadlock
detection and co *g*.
I am happy that the PostgreSQL core team + all developers are not like
Monty ...
I am happy to PostgreSQL has developers such as Bruce, Tom, Jan, Marc,
Vadim, Joe, Neil, Christopher, etc. (just to name a few) ...
Yes, it is said to be better than it was but that's not the point:
MySQL = Monty SQL <> ANSI SQL ...
Believe me, the table will turn and finally the better system will succeed.
One we have clustering, PITR, etc. running people will see how real
databases work :).
Hans
scott.marlowe wrote:
>On Thu, 3 Oct 2002, Hans-J�rgen Sch�nig wrote:
>
>
>
>>In the case of concurrent transactions MySQL does not do as well due to
>>very bad locking behavious. PostgreSQL is far better because it does row
>>level locking instead of table locking.
>>If you have many concurrent transactions MySQL performs some sort of
>>"self-denial-of-service". I'd choose PostgreSQL in order to make sure
>>that the database does not block.
>>
>>
>
>While I'm no big fan of MySQL, I must point out that with innodb tables,
>the locking is row level, and the ability to handle parallel read / write
>is much improved.
>
>Also, Postgresql does NOT use row level locking, it uses MVCC, which is
>"better than row level locking" as Tom puts it.
>
>Of course, hot backup is only 2,000 Euros for an innodb table mysql, while
>hot backup for postgresql is free. :-)
>
>That said, MySQL still doesn't handle parallel load nearly as well as
>postgresql, it's just better than it once was.
>
>
>
>>Also: Keep in mind that PostgreSQL has a wonderful core team. MySQL is
>>built on Monty Widenius and the core team = Monty.
>>Also: PostgreSQL = ANSI compilant, MySQL = Monty compliant
>>
>>
>
>This is a very valid point. The "committee" that creates and steers
>Postgresql is very much a meritocracy. The "committee" that steers MySQL
>is Monty.
>
>I'm much happier knowing that every time something important needs to be
>done we have a whole cupboard full of curmudgeons arguing the fine points
>so that the "right thing" gets done.
>
>
--
*Cybertec Geschwinde u Schoenig*
Ludo-Hartmannplatz 1/14, A-1160 Vienna, Austria
Tel: +43/1/913 68 09; +43/664/233 90 75
www.postgresql.at <http://www.postgresql.at>, cluster.postgresql.at
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From pgsql-performance-owner@postgresql.org Fri Oct 4 12:36:02 2002
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From: "Michael Paesold" <mpaesold@gmx.at>
To: <pgsql-performance@postgresql.org>
References: <3D9C8712.9513.9C6521D@localhost>
<3D9CBAD7.23509.A908C61@localhost> <3D9C7579.2010206@cybertec.at>
<20021003170920.X18497@mail.libertyrms.com>
Subject: Re: Large databases, performance
Date: Fri, 4 Oct 2002 18:38:21 +0200
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Andrew Sullivan <andrew@libertyrms.info> wrote:
> On Thu, Oct 03, 2002 at 06:51:05PM +0200, Hans-J?rgen Sch?nig wrote:
>
> > In the case of concurrent transactions MySQL does not do as well due to
> > very bad locking behavious. PostgreSQL is far better because it does row
> > level locking instead of table locking.
>
> It is my understanding that MySQL no longer does this on InnoDB
> tables. Whether various bag-on-the-side table types are a good thing
> I will leave to others; but there's no reason to go 'round making
> claims about old versions of MySQL any more than there is a reason to
> continue to talk about PostgreSQL not being crash safe. MySQL has
> moved along nearly as quickly as PostgreSQL.
Locking and transactions is not fine in MySQL (with InnoDB) though. I tried
to do selects on a table I was concurrently inserting to. In a single thread
I was constantly inserting 1000 rows per transaction. While inserting I did
some random selects on the same table. It often happend that the insert
transactions were aborted due to dead lock problems. There I see the problem
with locking reads.
I like PostgreSQL's MVCC!
Regards,
Michael Paesold
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From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Comparitive UPDATE speed
Message-ID: <20021004124403.I949@mail.libertyrms.com>
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On Fri, Oct 04, 2002 at 08:54:56AM -0700, Josh Berkus wrote:
> Slowly. It takes about 60 seconds to return data. This may be the
> problem. Thoughts? Here's EXPLAIN output:
[. . .]
> According to the parser, using the indexes would be worse:
Have you run this with EXPLAIN ANALYSE? It will actually perform the
necessary steps, so it will reveal if the planner is getting
something wrong.
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
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From: "David Blood" <david@matraex.com>
To: <pgsql-general@postgresql.org>
Subject: Pinning a table into memory
Date: Fri, 4 Oct 2002 10:46:57 -0600
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In Oracle you can Pin large objects into memory to prevent frequent
reloads. Is there anyway to do this with Postgres? It appears that some
of our tables that get hit a lot may get kicked out of memory when we
access some of our huge tables. Then they have to wait for I/O to get
loaded back in.
David Blood
Matraex, Inc
From pgsql-performance-owner@postgresql.org Fri Oct 4 14:14:35 2002
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From: Josh Berkus <josh@agliodbs.com>
Organization: Aglio Database Solutions
To: Andrew Sullivan <andrew@libertyrms.info>, pgsql-performance@postgresql.org
Subject: Re: Comparitive UPDATE speed
Date: Fri, 4 Oct 2002 11:13:09 -0700
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Andrew,
> Have you run this with EXPLAIN ANALYSE? It will actually perform the
> necessary steps, so it will reveal if the planner is getting
> something wrong.
Here it is:
Hash Join (cost=3D3076.10..91842.88 rows=3D108648 width=3D40) (actual=20
time=3D18625.19..22823.39 rows=3D108546 loops=3D1)
-> Seq Scan on elbs_matter_links eml (cost=3D0.00..85641.87 rows=3D1177=
87=20
width=3D20) (actual time=3D18007.69..19515.63 rows=3D117787 loops=3D1)
-> Hash (cost=3D2804.48..2804.48 rows=3D108648 width=3D20) (actual=20
time=3D602.12..602.12 rows=3D0 loops=3D1)
-> Seq Scan on case_clients cc (cost=3D0.00..2804.48 rows=3D10864=
8=20
width=3D20) (actual time=3D5.18..370.68 rows=3D108648 loops=3D1)
Total runtime: 22879.26 msec
The above doesn't seem bad, except that this is some serious hardware in th=
is=20
system and 23 seconds right after VACUUM ANALYZE is too long. I've a feeli=
ng=20
that I botched one of my postgresql.conf parameters or something.
I'll do an explain for the UPDATE query later, when the users are off the=
=20
system.
-Josh Berkus
--=20
Josh Berkus
josh@agliodbs.com
Aglio Database Solutions
San Francisco
From pgsql-performance-owner@postgresql.org Fri Oct 4 14:25:29 2002
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From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Comparitive UPDATE speed
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from josh@agliodbs.com on Fri, Oct 04, 2002 at 11:13:09AM -0700
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On Fri, Oct 04, 2002 at 11:13:09AM -0700, Josh Berkus wrote:
>
> Andrew,
>
> > Have you run this with EXPLAIN ANALYSE? It will actually perform the
> > necessary steps, so it will reveal if the planner is getting
> > something wrong.
>
> Here it is:
Oops, sorry. What if you force the index use here? Just because the
planner thinks that's more expensive doesn't mean that it is.
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
From pgsql-general-owner@postgresql.org Fri Oct 4 14:47:50 2002
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To: "David Blood" <david@matraex.com>
Cc: pgsql-general@postgresql.org
Subject: Re: Pinning a table into memory
In-reply-to: <03a301c26bc5$a799a970$1f00a8c0@redwood>
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Comments: In-reply-to "David Blood" <david@matraex.com>
message dated "Fri, 04 Oct 2002 10:46:57 -0600"
Date: Fri, 04 Oct 2002 14:47:47 -0400
Message-ID: <25545.1033757267@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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"David Blood" <david@matraex.com> writes:
> In Oracle you can Pin large objects into memory to prevent frequent
> reloads. Is there anyway to do this with Postgres?
I can never understand why people think this would be a good idea.
If you're hitting a table frequently, it will stay in memory anyway
(either in Postgres shared buffers or kernel disk cache). If you're
not hitting it frequently enough to keep it swapped in, then whatever
is getting swapped in instead is probably a better candidate to be
occupying the space. ISTM that a manual "pin this table" knob would
mostly have the effect of making performance worse, whenever the
system activity is slightly different from the situation you had in
mind when you installed the pin.
Having said that, I'll freely concede that our cache management
algorithms could use improvement (and there are people looking at
that right now). But a manual pin doesn't seem like a better answer.
regards, tom lane
From pgsql-performance-owner@postgresql.org Fri Oct 4 15:10:49 2002
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From: Josh Berkus <josh@agliodbs.com>
Organization: Aglio Database Solutions
To: Andrew Sullivan <andrew@libertyrms.info>, pgsql-performance@postgresql.org
Subject: Re: Comparitive UPDATE speed
Date: Fri, 4 Oct 2002 12:09:42 -0700
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Andrew,
> Oops, sorry. What if you force the index use here? Just because the
> planner thinks that's more expensive doesn't mean that it is.
Yeah, I tried it ... no faster, no slower, really.
BTW, in case you missed it, the real concern is that an UPDATE query simila=
r=20
to the SELECT query we are discussing takes over 10 minutes, which on this=
=20
hardware is ridiculous. Robert suggested that we test the SELECT query to=
=20
see if there were general performance problems; apparently, there are.
The hardware I'm using is:
dual-processor Athalon 1400mhz motherboard
raid 5 UW SCSI drive array with 3 drives
512mb DDR RAM
SuSE Linux 7.3 (Kernel 2.4.10)
Postgres is on its own LVM partition
PostgreSQL 7.2.1 on i686-pc-linux-gnu, compiled by GCC 2.95.3
(will upgrade to 7.2.3 very soon)
Postgresql.conf has: fdatasync, various chared memory tuned to allocate 256=
mb=20
to postgres (which seems to be working correctly).
Debug level 2.
When the UPDATE query takes a long time, I generally can watch the log hove=
r=20
in the land of "Reaping dead child processes" for 30-90 seconds per=20
iteration.
--=20
Josh Berkus
josh@agliodbs.com
Aglio Database Solutions
San Francisco
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From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Comparitive UPDATE speed
Message-ID: <20021004152415.T949@mail.libertyrms.com>
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from josh@agliodbs.com on Fri, Oct 04, 2002 at 12:09:42PM -0700
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On Fri, Oct 04, 2002 at 12:09:42PM -0700, Josh Berkus wrote:
> BTW, in case you missed it, the real concern is that an UPDATE query similar
> to the SELECT query we are discussing takes over 10 minutes, which on this
> hardware is ridiculous. Robert suggested that we test the SELECT query to
> see if there were general performance problems; apparently, there are.
Yes, that's my thought, too.
> Postgresql.conf has: fdatasync, various chared memory tuned to allocate 256mb
> to postgres (which seems to be working correctly).
Hmm. Are you swapping? Lots of temp files? (I presume you've been
over all that.) Half your physical memory seems pretty dangerous to
me. If oyu reduce that, does it help?
> When the UPDATE query takes a long time, I generally can watch the log hover
> in the land of "Reaping dead child processes" for 30-90 seconds per
> iteration.
Ick. Hmm. What sort of numbers do you get from vmstat, iostat, sar,
and friends?
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
From pgsql-performance-owner@postgresql.org Fri Oct 4 15:41:17 2002
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To: Josh Berkus <josh@agliodbs.com>
Cc: Andrew Sullivan <andrew@libertyrms.info>, pgsql-performance@postgresql.org
Subject: Re: Comparitive UPDATE speed
In-reply-to: <200210041113.10008.josh@agliodbs.com>
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Comments: In-reply-to Josh Berkus <josh@agliodbs.com>
message dated "Fri, 04 Oct 2002 11:13:09 -0700"
Date: Fri, 04 Oct 2002 15:41:14 -0400
Message-ID: <26113.1033760474@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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Josh Berkus <josh@agliodbs.com> writes:
> Hash Join (cost=3076.10..91842.88 rows=108648 width=40) (actual
> time=18625.19..22823.39 rows=108546 loops=1)
> -> Seq Scan on elbs_matter_links eml (cost=0.00..85641.87 rows=117787
> width=20) (actual time=18007.69..19515.63 rows=117787 loops=1)
> -> Hash (cost=2804.48..2804.48 rows=108648 width=20) (actual
> time=602.12..602.12 rows=0 loops=1)
> -> Seq Scan on case_clients cc (cost=0.00..2804.48 rows=108648
> width=20) (actual time=5.18..370.68 rows=108648 loops=1)
> Total runtime: 22879.26 msec
Hm. Why does it take 19500 milliseconds to read 117787 rows from
elbs_matter_links, if 108648 rows can be read from case_clients in 370
msec? And why does the output show that the very first of those rows
was returned only after 18000 msec?
I am suspicious that this table has a huge number of empty pages in it,
mostly at the beginning. If so, a VACUUM FULL would help. (Try
"vacuum full verbose elbs_matter_links" and see if it indicates it's
reclaiming any large number of pages.)
If that proves to be the answer, you need to look to your FSM
parameters, and perhaps arrange for more frequent regular vacuums
of this table.
regards, tom lane
From pgsql-performance-owner@postgresql.org Fri Oct 4 15:45:35 2002
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To: Josh Berkus <josh@agliodbs.com>
Cc: Andrew Sullivan <andrew@libertyrms.info>, pgsql-performance@postgresql.org
Subject: Re: Comparitive UPDATE speed
In-reply-to: <200210041209.42665.josh@agliodbs.com>
References: <1033708425.28946.203.camel@haggis>
<200210041113.10008.josh@agliodbs.com>
<20021004142523.M949@mail.libertyrms.com>
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Comments: In-reply-to Josh Berkus <josh@agliodbs.com>
message dated "Fri, 04 Oct 2002 12:09:42 -0700"
Date: Fri, 04 Oct 2002 15:45:28 -0400
Message-ID: <26159.1033760728@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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Josh Berkus <josh@agliodbs.com> writes:
> When the UPDATE query takes a long time, I generally can watch the log hover
> in the land of "Reaping dead child processes" for 30-90 seconds per
> iteration.
Uh ... would you translate that observation into English please? Or
better, provide the log output you're looking at?
regards, tom lane
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From: Josh Berkus <josh@agliodbs.com>
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To: Tom Lane <tgl@sss.pgh.pa.us>
Subject: Re: Comparitive UPDATE speed
Date: Fri, 4 Oct 2002 14:01:07 -0700
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Tom,
> I am suspicious that this table has a huge number of empty pages in it,
> mostly at the beginning. If so, a VACUUM FULL would help. (Try
> "vacuum full verbose elbs_matter_links" and see if it indicates it's
> reclaiming any large number of pages.)
Thank you. Aha.
That appears to have been the main problem; apparently, at some time during=
my=20
tinkering, I dumped most of the rows from elbs_matter_links a couple of=20
times. Ooops.
I'll post the new situation when I test the update queries tonight.
--=20
Josh Berkus
josh@agliodbs.com
Aglio Database Solutions
San Francisco
From pgsql-general-owner@postgresql.org Sun Oct 6 11:52:37 2002
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From: Curt Sampson <cjs@cynic.net>
To: Neil Conway <neilc@samurai.com>
Cc: PostgresSQL Hackers Mailing List <pgsql-hackers@postgresql.org>,
PostgresSQL General Mailing List <pgsql-general@postgresql.org>
Subject: Re: [HACKERS] Performance while loading data and indexing
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On 26 Sep 2002, Neil Conway wrote:
> The fact that ext2 defaults to asynchronous mode and UFS (at least on
> the BSDs) defaults to synchronous mode seems like a total non-issue to
> me. Is there any more to the alleged difference in reliability?
It was sort of pointed out here, but perhaps not made completely
clear, that Berkley FFS defaults to synchronous meta-data updates,
but asynchronous data updates. You can also specify entirely
synchronous or entirely asynchronous updates. Linux ext2fs supports
only these last two modes, which is the problem.
cjs
--
Curt Sampson <cjs@cynic.net> +81 90 7737 2974 http://www.netbsd.org
Don't you know, in this new Dark Age, we're all light. --XTC
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From: Curt Sampson <cjs@cynic.net>
Reply-To: pgsql-performance@postgresql.org,
Curt Sampson <cjs@cynic.net>
To: Shridhar Daithankar <shridhar_daithankar@persistent.co.in>
Cc: pgsql-general <pgsql-general@postgresql.org>,
<pgsql-hackers@postgresql.org>
Subject: Re: Large databases, performance
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On Thu, 3 Oct 2002, Shridhar Daithankar wrote:
> Well, we were comparing ext3 v/s reiserfs. I don't remember the journalling
> mode of ext3 but we did a 10 GB write test. Besides converting the RAID to RAID-
> 0 from RAID-5 might have something to do about it.
That will have a massive, massive effect on performance. Depending on
your RAID subsystem, you can except RAID-0 to be between two and twenty
times as fast for writes as RAID-5.
If you compared one filesystem on RAID-5 and another on RAID-0,
your results are likely not at all indicative of file system
performance.
Note that I've redirected followups to the pgsql-performance list.
Avoiding cross-posting would be nice, since I am getting lots of
duplicate messages these days.
cjs
--
Curt Sampson <cjs@cynic.net> +81 90 7737 2974 http://www.netbsd.org
Don't you know, in this new Dark Age, we're all light. --XTC
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From: Curt Sampson <cjs@cynic.net>
Reply-To: pgsql-performance@postgresql.org,
Curt Sampson <cjs@cynic.net>
To: Shridhar Daithankar <shridhar_daithankar@persistent.co.in>
Cc: pgsql-hackers@postgresql.org, pgsql-general <pgsql-general@postgresql.org>
Subject: Re: Large databases, performance
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On Thu, 3 Oct 2002, Shridhar Daithankar wrote:
> Our major concern remains load time as data is generated in real time and is
> expecetd in database with in specified time period.
If your time period is long enough, you can do what I do, which is
to use partial indexes so that the portion of the data being loaded
is not indexed. That will speed your loads quite a lot. Aftewards
you can either generate another partial index for the range you
loaded, or generate a new index over both old and new data, and
then drop the old index.
The one trick is that the optimizer is not very smart about combining
multiple indexes, so you often need to split your queries across
the two "partitions" of the table that have separate indexes.
> Shall I subscribe to performance?
Yes, you really ought to. The list is pgsql-performance@postgresql.org.
cjs
--
Curt Sampson <cjs@cynic.net> +81 90 7737 2974 http://www.netbsd.org
Don't you know, in this new Dark Age, we're all light. --XTC
From pgsql-general-owner@postgresql.org Sun Oct 6 23:20:42 2002
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To: Curt Sampson <cjs@cynic.net>
Cc: pgsql-general <pgsql-general@postgresql.org>, pgsql-hackers@postgresql.org
Subject: cross-posts (was Re: Large databases, performance)
In-reply-to: <Pine.NEB.4.44.0210071124410.443-100000@angelic.cynic.net>
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Comments: In-reply-to Curt Sampson <cjs@cynic.net>
message dated "Mon, 07 Oct 2002 11:27:04 +0900"
Date: Sun, 06 Oct 2002 23:20:33 -0400
Message-ID: <15763.1033960833@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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Curt Sampson <cjs@cynic.net> writes:
> ... Avoiding cross-posting would be nice, since I am getting lots of
> duplicate messages these days.
Cross-posting is a fact of life, and in fact encouraged, on the pg
lists. I suggest adapting. Try sending
set all unique your-email-address
to the PG majordomo server; this sets you up to get only one copy
of each cross-posted message.
regards, tom lane
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-hackers@postgresql.org, pgsql-general <pgsql-general@postgresql.org>
Date: Mon, 07 Oct 2002 15:07:29 +0530
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Subject: Re: Large databases, performance
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On 3 Oct 2002 at 8:54, Charles H. Woloszynski wrote:
> I'd be curious what happens when you submit more queries than you have
> processors (you had four concurrent queries and four CPUs), if you care
> to run any additional tests. Also, I'd report the query time in
> absolute (like you did) and also in 'Time/number of concurrent queries".
> This will give you a sense of how the system is scaling as the workload
> increases. Personally I am more concerned about this aspect than the
> load time, since I am going to guess that this is where all the time is
> spent.
OK. I am back from my cave after some more tests are done. Here are the
results. I am not repeating large part of it but answering your questions..
Don't ask me how these numbers changed. I am not the person who conducts the
test neither I have access to the system. Rest(or most ) of the things remains
same..
MySQL 3.23.52 with innodb transaction support:
4 concurrent queries :- 257.36 ms
40 concurrent queries :- 35.12 ms
Postgresql 7.2.2
4 concurrent queries :- 257.43 ms
40 concurrent queries :- 41.16 ms
Though I can not report oracle numbers, suffice to say that they fall in
between these two numbers.
Oracle seems to be hell lot faster than mysql/postgresql to load raw data even
when it's installed on reiserfs. We plan to run XFS tests later in hope that
that would improve mysql/postgresql load times.
In this run postgresql has better load time than mysql/innodb ( 18270 sec v/s
17031 sec.) Index creation times are faster as well (100 sec v/s 130 sec).
Don't know what parameters are changed.
Only worry is database size. Postgresql is 111GB v/s 87 GB for mysql. All
numbers include indexes. This is really going to be a problem when things are
deployed. Any idea how can it be taken down?
WAL is out, it's not counted.
Schema optimisation is later issue. Right now all three databases are using
same schema..
Will it help in this situation if I recompile posgresql with block size say 32K
rather than 8K default? Will it saev some overhead and offer better performance
in data load etc?
Will keep you guys updated..
Regards,
Shridhar
-----------------------------------------------------------
Shridhar Daithankar
LIMS CPE Team Member, PSPL.
mailto:shridhar_daithankar@persistent.co.in
Phone:- +91-20-5678900 Extn.270
Fax :- +91-20-5678901
-----------------------------------------------------------
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To: shridhar_daithankar@persistent.co.in,
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Subject: Re: [pgsql-performance] Large databases, performance
References: <3DA1A331.21316.F7E742B@localhost>
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I wonder if the following changes make a difference:
- compile PostgreSQL with CFLAGS=' -O3 '
- redefine commit delays
also: keep in mind that you might gain a lot of performance by using the
SPI if you are running many similar queries
try 7.3 - as far as I remeber there is a mechanism which caches recent
execution plans.
also: some overhead was reduced (tuples, backend startup).
Hans
>Ok. I am back from my cave after some more tests are done. Here are the
>results. I am not repeating large part of it but answering your questions..
>
>Don't ask me how these numbers changed. I am not the person who conducts the
>test neither I have access to the system. Rest(or most ) of the things remains
>same..
>
>MySQL 3.23.52 with innodb transaction support:
>
>4 concurrent queries :- 257.36 ms
>40 concurrent queries :- 35.12 ms
>
>Postgresql 7.2.2
>
>4 concurrent queries :- 257.43 ms
>40 concurrent queries :- 41.16 ms
>
>Though I can not report oracle numbers, suffice to say that they fall in
>between these two numbers.
>
>Oracle seems to be hell lot faster than mysql/postgresql to load raw data even
>when it's installed on reiserfs. We plan to run XFS tests later in hope that
>that would improve mysql/postgresql load times.
>
>In this run postgresql has better load time than mysql/innodb ( 18270 sec v/s
>17031 sec.) Index creation times are faster as well (100 sec v/s 130 sec).
>Don't know what parameters are changed.
>
>Only worry is database size. Postgresql is 111GB v/s 87 GB for mysql. All
>numbers include indexes. This is really going to be a problem when things are
>deployed. Any idea how can it be taken down?
>
>WAL is out, it's not counted.
>
>Schema optimisation is later issue. Right now all three databases are using
>same schema..
>
>Will it help in this situation if I recompile posgresql with block size say 32K
>rather than 8K default? Will it saev some overhead and offer better performance
>in data load etc?
>
>Will keep you guys updated..
>
>Regards,
> Shridhar
>
>-----------------------------------------------------------
>Shridhar Daithankar
>LIMS CPE Team Member, PSPL.
>mailto:shridhar_daithankar@persistent.co.in
>Phone:- +91-20-5678900 Extn.270
>Fax :- +91-20-5678901
>-----------------------------------------------------------
>
>
>---------------------------(end of broadcast)---------------------------
>TIP 1: subscribe and unsubscribe commands go to majordomo@postgresql.org
>
>
--
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Subject: Re: [HACKERS] cross-posts (was Re: Large databases,
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To: Tom Lane <tgl@sss.pgh.pa.us>
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On Sun, 2002-10-06 at 22:20, Tom Lane wrote:
> Curt Sampson <cjs@cynic.net> writes:
> > ... Avoiding cross-posting would be nice, since I am getting lots of
> > duplicate messages these days.
>
> Cross-posting is a fact of life, and in fact encouraged, on the pg
> lists. I suggest adapting. Try sending
> set all unique your-email-address
> to the PG majordomo server; this sets you up to get only one copy
> of each cross-posted message.
That doesn't seem to work any more:
>>>> set all unique ler@lerctr.org
**** The "all" mailing list is not supported at
**** PostgreSQL User Support Lists.
What do I need to send now?
Marc?
--
Larry Rosenman http://www.lerctr.org/~ler
Phone: +1 972-414-9812 E-Mail: ler@lerctr.org
US Mail: 1905 Steamboat Springs Drive, Garland, TX 75044-6749
From pgsql-general-owner@postgresql.org Mon Oct 7 08:22:17 2002
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From: "Michael Paesold" <mpaesold@gmx.at>
To: "Larry Rosenman" <ler@lerctr.org>, "Tom Lane" <tgl@sss.pgh.pa.us>
Cc: "Curt Sampson" <cjs@cynic.net>,
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References: <Pine.NEB.4.44.0210071124410.443-100000@angelic.cynic.net>
<15763.1033960833@sss.pgh.pa.us> <1033991460.311.6.camel@lerlaptop>
Subject: Re: [HACKERS] cross-posts (was Re: Large databases,
Date: Mon, 7 Oct 2002 14:01:25 +0200
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> On Sun, 2002-10-06 at 22:20, Tom Lane wrote:
> > Curt Sampson <cjs@cynic.net> writes:
> > > ... Avoiding cross-posting would be nice, since I am getting lots of
> > > duplicate messages these days.
> >
> > Cross-posting is a fact of life, and in fact encouraged, on the pg
> > lists. I suggest adapting. Try sending
> > set all unique your-email-address
> > to the PG majordomo server; this sets you up to get only one copy
> > of each cross-posted message.
> That doesn't seem to work any more:
>
> >>>> set all unique ler@lerctr.org
> **** The "all" mailing list is not supported at
> **** PostgreSQL User Support Lists.
>
> What do I need to send now?
>
> Marc?
it is:
set ALL unique your-email
if you also don't want to get emails that have already been cc'd to you, you
can use:
set ALL eliminatecc your-email
for a full list of set options send:
help set
to majordomo.
Regards,
Michael Paesold
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Mon, 7 Oct 2002 07:04:34 -0500 (CDT) (envelope-from ler@lerctr.org)
Subject: Re: [HACKERS] cross-posts (was Re: Large databases,
From: Larry Rosenman <ler@lerctr.org>
To: Michael Paesold <mpaesold@gmx.at>
Cc: Tom Lane <tgl@sss.pgh.pa.us>, Curt Sampson <cjs@cynic.net>,
pgsql-general <pgsql-general@postgresql.org>, pgsql-hackers@postgresql.org
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<15763.1033960833@sss.pgh.pa.us> <1033991460.311.6.camel@lerlaptop>
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On Mon, 2002-10-07 at 07:01, Michael Paesold wrote:
> > On Sun, 2002-10-06 at 22:20, Tom Lane wrote:
> > > Curt Sampson <cjs@cynic.net> writes:
> > > > ... Avoiding cross-posting would be nice, since I am getting lots of
> > > > duplicate messages these days.
> > >
> > > Cross-posting is a fact of life, and in fact encouraged, on the pg
> > > lists. I suggest adapting. Try sending
> > > set all unique your-email-address
> > > to the PG majordomo server; this sets you up to get only one copy
> > > of each cross-posted message.
> > That doesn't seem to work any more:
> >
> > >>>> set all unique ler@lerctr.org
> > **** The "all" mailing list is not supported at
> > **** PostgreSQL User Support Lists.
> >
> > What do I need to send now?
> >
> > Marc?
>
> it is:
> set ALL unique your-email
>
> if you also don't want to get emails that have already been cc'd to you, you
> can use:
>
> set ALL eliminatecc your-email
>
> for a full list of set options send:
>
> help set
>
> to majordomo.
Thanks. That worked great. (I use Mailman, and didn't realize the ALL
needed to be capitalized.
LER
--
Larry Rosenman http://www.lerctr.org/~ler
Phone: +1 972-414-9812 E-Mail: ler@lerctr.org
US Mail: 1905 Steamboat Springs Drive, Garland, TX 75044-6749
From pgsql-general-owner@postgresql.org Mon Oct 7 10:07:55 2002
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From: Manfred Koizar <mkoi-pg@aon.at>
To: shridhar_daithankar@persistent.co.in
Cc: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Subject: Re: Large databases, performance
Date: Mon, 07 Oct 2002 16:10:26 +0200
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References: <3D9C3E05.7070906@clearmetrix.com>
<3DA1A331.21316.F7E742B@localhost>
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On Mon, 07 Oct 2002 15:07:29 +0530, "Shridhar Daithankar"
<shridhar_daithankar@persistent.co.in> wrote:
>Only worry is database size. Postgresql is 111GB v/s 87 GB for mysql. All
>numbers include indexes. This is really going to be a problem when things are
>deployed. Any idea how can it be taken down?
Shridhar,
if i'm not mistaken, a char(n)/varchar(n) column is stored as a 32-bit
integer specifying the length followed by as many characters as the
length tells. On 32-bit Intel hardware this structure is aligned on a
4-byte boundary.
For your row layout this gives the following sizes (look at the "phys
size" column):
| Field Field Null Indexed phys mini
| Name Type size
|--------------------------------------------
| type int no no 4 4
| esn char (10) no yes 16 11
| min char (10) no yes 16 11
| datetime timestamp no yes 8 8
| opc0 char (3) no no 8 4
| opc1 char (3) no no 8 4
| opc2 char (3) no no 8 4
| dpc0 char (3) no no 8 4
| dpc1 char (3) no no 8 4
| dpc2 char (3) no no 8 4
| npa char (3) no no 8 4
| nxx char (3) no no 8 4
| rest char (4) no no 8 5
| field0 int yes no 4 4
| field1 char (4) yes no 8 5
| field2 int yes no 4 4
| field3 char (4) yes no 8 5
| field4 int yes no 4 4
| field5 char (4) yes no 8 5
| field6 int yes no 4 4
| field7 char (4) yes no 8 5
| field8 int yes no 4 4
| field9 char (4) yes no 8 5
| ----- -----
| 176 116
Ignoring nulls for now, you have to add 32 bytes for a v7.2 heap tuple
header and 4 bytes for ItemIdData per tuple, ending up with 212 bytes
per tuple or ca. 85 GB heap space for 432000000 tuples. Depending on
fill factor similar calculations give some 30 GB for your index.
Now if we had a datatype with only one byte for the string length,
char columns could be byte aligned and we'd have column sizes given
under "mini" in the table above. The columns would have to be
rearranged according to alignment requirements.
Thus 60 bytes per heap tuple and 8 bytes per index tuple could be
saved, resulting in a database size of ~ 85 GB (index included). And
I bet this would be significantly faster, too.
Hackers, do you think it's possible to hack together a quick and dirty
patch, so that string length is represented by one byte? IOW can a
database be built that doesn't contain any char/varchar/text value
longer than 255 characters in the catalog?
If I'm not told that this is impossibly, I'd give it a try. Shridhar,
if such a patch can be made available, would you be willing to test
it?
What can you do right now? Try using v7.3 beta and creating your
table WITHOUT OIDS. This saves 8 bytes per tuple; not much, but
better save 4% than nothing.
Servus
Manfred
From pgsql-general-owner@postgresql.org Mon Oct 7 10:18:03 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Date: Mon, 07 Oct 2002 19:48:31 +0530
MIME-Version: 1.0
Subject: Re: Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
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On 7 Oct 2002 at 16:10, Manfred Koizar wrote:
> if i'm not mistaken, a char(n)/varchar(n) column is stored as a 32-bit
> integer specifying the length followed by as many characters as the
> length tells. On 32-bit Intel hardware this structure is aligned on a
> 4-byte boundary.
That shouldn't be necessary for a char field as space is always pre-allocated.
Sounds like a possible area of imporvement to me, if that's the case..
> Hackers, do you think it's possible to hack together a quick and dirty
> patch, so that string length is represented by one byte? IOW can a
> database be built that doesn't contain any char/varchar/text value
> longer than 255 characters in the catalog?
I say if it's a char field, there should be no indicator of length as it's not
required. Just store those many characters straight ahead..
>
> If I'm not told that this is impossibly, I'd give it a try. Shridhar,
> if such a patch can be made available, would you be willing to test
> it?
Sure. But the server machine is not available this week. Some other project is
using it. So the results won't be out unless at least a week from now.
> What can you do right now? Try using v7.3 beta and creating your
> table WITHOUT OIDS. This saves 8 bytes per tuple; not much, but
> better save 4% than nothing.
IIRC there was some header optimisation which saved 4 bytes. So without OIDs
that should save 8. Would do that as first next thing.
I talked to my friend regarding postgresql surpassing mysql substantially in
this test. He told me that the last test where postgresql took 23000+/150 sec
for load/index and mysql took 18,000+/130 index, postgresql was running in
default configuration. He forgot to copy postgresql.conf to data directory
after he modified it.
This time results are correct. Postgresql loads data faster, indexes it faster
and queries in almost same time.. Way to go..
Regards,
Shridhar
-----------------------------------------------------------
Shridhar Daithankar
LIMS CPE Team Member, PSPL.
mailto:shridhar_daithankar@persistent.co.in
Phone:- +91-20-5678900 Extn.270
Fax :- +91-20-5678901
-----------------------------------------------------------
From pgsql-general-owner@postgresql.org Mon Oct 7 10:32:46 2002
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To: shridhar_daithankar@persistent.co.in
Cc: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Subject: Re: [pgsql-performance] Large databases, performance
In-reply-to: <3DA1A331.21316.F7E742B@localhost>
References: <3DA1A331.21316.F7E742B@localhost>
Comments: In-reply-to "Shridhar Daithankar"
<shridhar_daithankar@persistent.co.in>
message dated "Mon, 07 Oct 2002 15:07:29 +0530"
Date: Mon, 07 Oct 2002 10:30:37 -0400
Message-ID: <23489.1034001037@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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"Shridhar Daithankar" <shridhar_daithankar@persistent.co.in> writes:
> MySQL 3.23.52 with innodb transaction support:
> 4 concurrent queries :- 257.36 ms
> 40 concurrent queries :- 35.12 ms
> Postgresql 7.2.2
> 4 concurrent queries :- 257.43 ms
> 40 concurrent queries :- 41.16 ms
I find this pretty fishy. The extreme similarity of the 4-client
numbers seems improbable, from what I know of the two databases.
I suspect your numbers are mostly measuring some non-database-related
overhead --- communications overhead, maybe?
> Only worry is database size. Postgresql is 111GB v/s 87 GB for mysql. All
> numbers include indexes. This is really going to be a problem when things are
> deployed. Any idea how can it be taken down?
7.3 should be a little bit better because of Manfred's work on reducing
tuple header size --- if you create your tables WITHOUT OIDS, you should
save 8 bytes per row compared to earlier releases.
regards, tom lane
From pgsql-general-owner@postgresql.org Mon Oct 7 10:39:28 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Date: Mon, 07 Oct 2002 20:09:55 +0530
MIME-Version: 1.0
Subject: Re: [pgsql-performance] Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
Message-ID: <3DA1EA13.16626.10939155@localhost>
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On 7 Oct 2002 at 10:30, Tom Lane wrote:
> "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in> writes:
> > MySQL 3.23.52 with innodb transaction support:
>
> > 4 concurrent queries :- 257.36 ms
> > 40 concurrent queries :- 35.12 ms
>
> > Postgresql 7.2.2
>
> > 4 concurrent queries :- 257.43 ms
> > 40 concurrent queries :- 41.16 ms
>
> I find this pretty fishy. The extreme similarity of the 4-client
> numbers seems improbable, from what I know of the two databases.
> I suspect your numbers are mostly measuring some non-database-related
> overhead --- communications overhead, maybe?
I don't know but three numbers, postgresql/mysql/oracle all are 25x.xx ms. The
clients were on same machie as of server. So no real area to point at..
>
> > Only worry is database size. Postgresql is 111GB v/s 87 GB for mysql. All
> > numbers include indexes. This is really going to be a problem when things are
> > deployed. Any idea how can it be taken down?
>
> 7.3 should be a little bit better because of Manfred's work on reducing
> tuple header size --- if you create your tables WITHOUT OIDS, you should
> save 8 bytes per row compared to earlier releases.
Got it..
Bye
Shridhar
--
Sweater, n.: A garment worn by a child when its mother feels chilly.
From pgsql-general-owner@postgresql.org Mon Oct 7 11:22:09 2002
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To: shridhar_daithankar@persistent.co.in
Cc: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Subject: Re: [pgsql-performance] Large databases, performance
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Comments: In-reply-to "Shridhar Daithankar"
<shridhar_daithankar@persistent.co.in>
message dated "Mon, 07 Oct 2002 19:48:31 +0530"
Date: Mon, 07 Oct 2002 11:21:57 -0400
Message-ID: <23897.1034004117@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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"Shridhar Daithankar" <shridhar_daithankar@persistent.co.in> writes:
> I say if it's a char field, there should be no indicator of length as
> it's not required. Just store those many characters straight ahead..
Your assumption fails when considering UNICODE or other multibyte
character encodings.
regards, tom lane
From pgsql-general-owner@postgresql.org Mon Oct 7 11:20:14 2002
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From: Manfred Koizar <mkoi-pg@aon.at>
To: shridhar_daithankar@persistent.co.in
Cc: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Subject: Re: Large databases, performance
Date: Mon, 07 Oct 2002 17:22:41 +0200
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On Mon, 07 Oct 2002 19:48:31 +0530, "Shridhar Daithankar"
<shridhar_daithankar@persistent.co.in> wrote:
>I say if it's a char field, there should be no indicator of length as it's not
>required. Just store those many characters straight ahead..
This is out of reach for a quick hack ...
>Sure. But the server machine is not available this week. Some other project is
>using it. So the results won't be out unless at least a week from now.
:-)
>This time results are correct. Postgresql loads data faster, indexes it faster
>and queries in almost same time.. Way to go..
Great! And now let's work on making selects faster, too.
Servus
Manfred
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Subject: Re: [HACKERS] Large databases, performance
Date: Mon, 7 Oct 2002 17:42:12 +0200
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Thread-Topic: [HACKERS] [GENERAL] Large databases, performance
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From: "Zeugswetter Andreas SB SD" <ZeugswetterA@spardat.at>
To: "Manfred Koizar" <mkoi-pg@aon.at>, <shridhar_daithankar@persistent.co.in>
Cc: <pgsql-hackers@postgresql.org>,
"pgsql-general" <pgsql-general@postgresql.org>,
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> if i'm not mistaken, a char(n)/varchar(n) column is stored as a 32-bit
> integer specifying the length followed by as many characters as the
> length tells. On 32-bit Intel hardware this structure is aligned on a
> 4-byte boundary.
Yes.
> | opc0 char (3) no no 8 4
> | opc1 char (3) no no 8 4
> | opc2 char (3) no no 8 4
> Hackers, do you think it's possible to hack together a quick and dirty
> patch, so that string length is represented by one byte? IOW can a
> database be built that doesn't contain any char/varchar/text value
> longer than 255 characters in the catalog?
Since he is only using fixchar how about doing a fixchar implemetation, tha=
t=20
does not store length at all ? It is the same for every row anyways !
Andreas
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From: "Marie G. Tuite" <marie.tuite@edisonaffiliates.com>
To: "Pgsql-General@Postgresql. Org" <pgsql-general@postgresql.org>,
<pgsql-performance@postgresql.org>
Subject: sloooow query
Date: Mon, 7 Oct 2002 14:22:09 -0500
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Hello all,
I am experiencing slow db performance. I have vacuumed, analyzed, reindexed
using the force option and performance remains the same - dog-slow :( If I
drop and recreate the database, performance is normal, so this suggests a
problem with the indexes? I also took a look at the postgresql.conf and all
appears fine. There are many instances of the same database running on
different servers and not all servers are experiencing the problem.
Thanks in advance for any suggestions.
Marie
From pgsql-performance-owner@postgresql.org Mon Oct 7 15:26:53 2002
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From: Josh Berkus <josh@agliodbs.com>
Reply-To: josh@agliodbs.com
Organization: Aglio Database Solutions
To: <marie.tuite@edisonaffiliates.com>,
<pgsql-performance@postgresql.org>
Subject: Re: sloooow query
Date: Mon, 7 Oct 2002 12:29:17 -0700
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Marie,
> I am experiencing slow db performance. I have vacuumed, analyzed, reinde=
xed
> using the force option and performance remains the same - dog-slow :( If=
I
> drop and recreate the database, performance is normal, so this suggests a
> problem with the indexes? I also took a look at the postgresql.conf and =
all
> appears fine. There are many instances of the same database running on
> different servers and not all servers are experiencing the problem.
Please post the following:
1) A copy of the relevant portions of your database schema.
2) The query that is running slowly.
3) The results of running EXPLAIN on that query.
4) Your PostgreSQL version and operating system
5) Any other relevant information about your databases, such as the quantit=
y=20
of inserts and deletes on the relevant tables.
--=20
-Josh Berkus
Aglio Database Solutions
San Francisco
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Date: Tue, 08 Oct 2002 05:30:03 +1000
From: Justin Clift <justin@postgresql.org>
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To: josh@agliodbs.com
Cc: marie.tuite@edisonaffiliates.com,
pgsql-performance@postgresql.org
Subject: Re: sloooow query
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Josh Berkus wrote:
>
> Marie,
>
> > I am experiencing slow db performance. I have vacuumed, analyzed, reindexed
> > using the force option and performance remains the same - dog-slow :( If I
> > drop and recreate the database, performance is normal, so this suggests a
> > problem with the indexes? I also took a look at the postgresql.conf and all
> > appears fine. There are many instances of the same database running on
> > different servers and not all servers are experiencing the problem.
>
> Please post the following:
> 1) A copy of the relevant portions of your database schema.
> 2) The query that is running slowly.
> 3) The results of running EXPLAIN on that query.
> 4) Your PostgreSQL version and operating system
> 5) Any other relevant information about your databases, such as the quantity
> of inserts and deletes on the relevant tables.
6) And the sort_mem, shared_buffers, vacuum_mem, wal_buffers, and
wal_files settings from your postgresql.conf file, if possible.
:-)
Regards and best wishes,
Justin Clift
> --
> -Josh Berkus
> Aglio Database Solutions
> San Francisco
>
> ---------------------------(end of broadcast)---------------------------
> TIP 5: Have you checked our extensive FAQ?
>
> http://www.postgresql.org/users-lounge/docs/faq.html
--
"My grandfather once told me that there are two kinds of people: those
who work and those who take the credit. He told me to try to be in the
first group; there was less competition there."
- Indira Gandhi
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Subject: Re: sloooow query
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Josh,
Thanks for the reply.
I pg_dumped the first database having performance problems and reloaded it
into a new database on the same server. The query ran normally when I
reloaded it. There is no difference in hardware, schema or anything else.
project=# select version();
version
-------------------------------------------------------------
PostgreSQL 7.2.1 on i686-pc-linux-gnu, compiled by GCC 2.96
(1 row)
[mtuite@area52 mtuite]$ uname -a
Linux area52.spacedock.com 2.4.7-10 #1 Thu Sep 6 17:27:27 EDT 2001 i686
unknown
Below is the explain for the reload.
bm221=# \i bad.qry
psql:bad.qry:78: NOTICE: QUERY PLAN:
Sort (cost=273.71..273.71 rows=1 width=237) (actual time=143.82..143.96
rows=181 loops=1)
-> Group (cost=273.53..273.70 rows=1 width=237) (actual
time=136.98..140.78 rows=181 loops=1)
-> Sort (cost=273.53..273.53 rows=7 width=237) (actual
time=136.95..137.11 rows=181 loops=1)
-> Merge Join (cost=273.37..273.43 rows=7 width=237) (actual
time=124.41..129.72 rows=181 loops=1)
-> Sort (cost=162.24..162.24 rows=7 width=216) (actual
time=51.83..52.00 rows=181 loops=1)
-> Subquery Scan student_set
(cost=161.09..162.14 rows=7 width=216) (actual time=48.12..50.49 rows=181
loops=1)
-> Unique (cost=161.09..162.14 rows=7
width=216) (actual time=48.10..49.45 rows=181 loops=1)
-> Sort (cost=161.09..161.09 rows=70
width=216) (actual time=48.09..48.26 rows=181 loops=1)
-> Hash Join
(cost=130.58..158.96 rows=70 width=216) (actual time=43.26..47.11 rows=181
loops=1)
-> Seq Scan on classes c
(cost=0.00..20.00 rows=1000 width=72) (actual time=0.12..1.78 rows=332
loops=1)
-> Hash
(cost=130.55..130.55 rows=14 width=144) (actual time=43.02..43.02 rows=0
loops=1)
-> Hash Join
(cost=105.38..130.55 rows=14 width=144) (actual time=31.13..42.44 rows=181
loops=1)
-> Seq Scan
on user_common uc (cost=0.00..20.00 rows=1000 width=80) (actual
time=0.12..7.07 rows=1045 loops=1)
-> Hash
(cost=105.37..105.37 rows=3 width=64) (actual time=30.91..30.91 rows=0
loops=1)
-> Hash
Join (cost=77.46..105.37 rows=3 width=64) (actual time=4.79..30.46 rows=181
loops=1)
->
Seq Scan on student_class_rlt scr (cost=0.00..22.50 rows=995 width=24)
(actual time=0.25..23.74 rows=527 loops=1)
->
Hash (cost=77.45..77.45 rows=5 width=40) (actual time=4.02..4.02 rows=0
loops=1)
-> Hash Join (cost=52.38..77.45 rows=5 width=40) (actual
time=3.28..3.96 rows=27 loops=1)
-> Seq Scan on bm_subscriptions_rlt bsr (cost=0.00..20.00
rows=1000 width=8) (actual time=0.11..0.47 rows=114 loops=1)
-> Hash (cost=52.38..52.38 rows=1 width=32) (actual
time=3.10..3.10 rows=0 loops=1)
-> Hash Join (cost=4.83..52.38 rows=1 width=32) (actual
time=2.23..3.07 rows=11 loops=1)
-> Seq Scan on bm_publications bp (cost=0.00..47.50
rows=11 width=12) (actual time=1.49..2.25 rows=11 loops=1)
-> Hash (cost=4.82..4.82 rows=1 width=20) (actual time=0.63..0.63
rows=0 loops=1)
-> Index Scan using bm_publication_events_pkey
on bm_publication_events bpe (cost=0.00..4.82 rows=1 width=20) (actual
time=0.60..0.61 rows=1 loops=1)
-> Sort (cost=111.13..111.13 rows=18 width=21) (actual
time=72.51..73.15 rows=770 loops=1)
-> Subquery Scan participation_set
(cost=22.51..110.75 rows=18 width=21) (actual time=1.32..57.28 rows=809
loops=1)
-> Hash Join (cost=22.51..110.75 rows=18
width=21) (actual time=1.30..52.21 rows=809 loops=1)
-> Seq Scan on bm_user_results bur
(cost=0.00..70.01 rows=3601 width=17) (actual time=0.14..18.53 rows=3601
loops=1)
-> Hash (cost=22.50..22.50 rows=5
width=4) (actual time=0.91..0.91 rows=0 loops=1)
-> Seq Scan on bm_publications
bp (cost=0.00..22.50 rows=5 width=4) (actual time=0.33..0.71 rows=98
loops=1)
Total runtime: 145.69 msec
EXPLAIN
bm221=#
Here is the explain from the original database:
project=# \i bad.qry
psql:bad.qry:78: NOTICE: QUERY PLAN:
Sort (cost=337.23..337.23 rows=1 width=237) (actual time=14903.87..14904.05
rows=181 loops=1)
-> Group (cost=337.19..337.22 rows=1 width=237) (actual
time=14895.90..14900.55 rows=181 loops=1)
-> Sort (cost=337.19..337.19 rows=1 width=237) (actual
time=14895.87..14896.09 rows=181 loops=1)
-> Nested Loop (cost=214.62..337.18 rows=1 width=237)
(actual time=149.50..14886.63 rows=181 loops=1)
-> Subquery Scan student_set (cost=208.82..208.84
rows=1 width=115) (actual time=64.03..69.44 rows=181 loops=1)
-> Unique (cost=208.82..208.84 rows=1 width=115)
(actual time=64.02..67.25 rows=181 loops=1)
-> Sort (cost=208.82..208.82 rows=1
width=115) (actual time=64.01..64.36 rows=181 loops=1)
-> Nested Loop (cost=16.54..208.81
rows=1 width=115) (actual time=5.21..62.66 rows=181 loops=1)
-> Nested Loop
(cost=16.54..203.55 rows=1 width=88) (actual time=5.11..52.60 rows=181
loops=1)
-> Hash Join
(cost=16.54..197.63 rows=1 width=64) (actual time=4.55..37.75 rows=181
loops=1)
-> Seq Scan on
student_class_rlt scr (cost=0.00..178.16 rows=574 width=24) (actual
time=0.02..29.59 rows=527 loops=1)
-> Hash
(cost=16.54..16.54 rows=2 width=40) (actual time=3.84..3.84 rows=0 loops=1)
-> Hash Join
(cost=13.80..16.54 rows=2 width=40) (actual time=2.91..3.77 rows=27 loops=1)
-> Seq
Scan on bm_subscriptions_rlt bsr (cost=0.00..2.14 rows=114 width=8) (actual
time=0.01..0.50 rows=114 loops=1)
-> Hash
(cost=13.80..13.80 rows=2 width=32) (actual time=2.81..2.81 rows=0 loops=1)
->
Hash Join (cost=1.06..13.80 rows=2 width=32) (actual time=1.74..2.78
rows=11 loops=1)
-> Seq Scan on bm_publications bp (cost=0.00..12.65 rows=11 width=12)
(actual time=1.56..2.51 rows=11 loops=1)
-> Hash (cost=1.06..1.06 rows=1 width=20) (actual time=0.06..0.06
rows=0 loops=1)
-> Seq Scan on bm_publication_events bpe (cost=0.00..1.06 rows=1
width=20) (actual time=0.04..0.05 rows=1 loops=1)
-> Index Scan using
user_common_pkey on user_common uc (cost=0.00..5.90 rows=1 width=24)
(actual time=0.05..0.06 rows=1 loops=181)
-> Index Scan using class_pkey
on classes c (cost=0.00..5.25 rows=1 width=27) (actual time=0.03..0.04
rows=1 loops=181)
-> Subquery Scan participation_set (cost=5.79..109.63
rows=1248 width=21) (actual time=1.19..78.18 rows=816 loops=181)
-> Hash Join (cost=5.79..109.63 rows=1248
width=21) (actual time=1.18..71.10 rows=816 loops=181)
-> Seq Scan on bm_user_results bur
(cost=0.00..70.16 rows=3616 width=17) (actual time=0.01..20.96 rows=3620
loops=181)
-> Hash (cost=5.55..5.55 rows=98 width=4)
(actual time=1.05..1.05 rows=0 loops=181)
-> Seq Scan on bm_publications bp
(cost=0.00..5.55 rows=98 width=4) (actual time=0.33..0.82 rows=98 loops=181)
Total runtime: 14905.87 msec
EXPLAIN
project=#
Here is the query:
explain analyze
select
student_set.pub_id as pub_id,
student_set.class_id as class,
student_set.class_name as class_name,
student_set.user_id as student,
student_set.first_name,
student_set.last_name,
participation_set.started,
participation_set.complete,
day,month
from
(
select distinct
scr.user_id,
scr.class_id,
uc.first_name,
uc.last_name,
bp.bm_publication_id as pub_id,
c.class_name
from student_class_rlt scr,
user_common uc,
bm_subscriptions_rlt bsr,
bm_publications bp CROSS JOIN
bm_publication_events bpe,
classes c
where
bpe.bm_publication_event_id = 4
and bpe.bm_publication_event_id =
bp.bm_publication_event_id
and bp.bm_series_id = bsr.bm_series_id
and bsr.class_id = scr.class_id
and scr.class_id = c.class_id
and (scr.end_date is null or scr.end_date >=
bpe.due_date)
and scr.start_date <= bpe.publication_date
and scr.status_id != 2
and scr.user_id = uc.user_id
and bp.bm_publication_id in (
4,25,1,3,26,19,
,11,27,90,20,28
)
) student_set
left join
(
select user_id,
initial_timestmp as started,
to_char( initial_timestmp, 'MM/DD' ) as
day,
to_char( initial_timestmp, 'Month YYYY' )
as month,
complete,
bur.bm_publication_id as pub_id
from
bm_publications bp,
bm_user_results bur
where
bp.bm_publication_event_id = 4
and bp.bm_publication_id = bur.bm_publication_id
) participation_set
on
(
student_set.user_id =
participation_set.user_id
and student_set.pub_id =
participation_set.pub_id
)
group by student_set.pub_id, class, class_name, student,
last_name, first_name, started, complete, day, month
order by student_set.pub_id, class, last_name, month, day
;
Thanks.
> -----Original Message-----
> From: pgsql-performance-owner@postgresql.org
> [mailto:pgsql-performance-owner@postgresql.org]On Behalf Of Josh Berkus
> Sent: Monday, October 07, 2002 2:29 PM
> To: marie.tuite@edisonaffiliates.com; pgsql-performance@postgresql.org
> Subject: Re: [pgsql-performance] sloooow query
>
>
>
> Marie,
>
> > I am experiencing slow db performance. I have vacuumed,
> analyzed, reindexed
> > using the force option and performance remains the same -
> dog-slow :( If I
> > drop and recreate the database, performance is normal, so this
> suggests a
> > problem with the indexes? I also took a look at the
> postgresql.conf and all
> > appears fine. There are many instances of the same database running on
> > different servers and not all servers are experiencing the problem.
>
> Please post the following:
> 1) A copy of the relevant portions of your database schema.
> 2) The query that is running slowly.
> 3) The results of running EXPLAIN on that query.
> 4) Your PostgreSQL version and operating system
> 5) Any other relevant information about your databases, such as
> the quantity
> of inserts and deletes on the relevant tables.
>
> --
> -Josh Berkus
> Aglio Database Solutions
> San Francisco
>
>
> ---------------------------(end of broadcast)---------------------------
> TIP 5: Have you checked our extensive FAQ?
>
> http://www.postgresql.org/users-lounge/docs/faq.html
>
From pgsql-performance-owner@postgresql.org Mon Oct 7 15:51:15 2002
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From: "Marie G. Tuite" <marie.tuite@edisonaffiliates.com>
To: "Justin Clift" <justin@postgresql.org>, <josh@agliodbs.com>
Cc: <pgsql-performance@postgresql.org>
Subject: Re: sloooow query
Date: Mon, 7 Oct 2002 14:53:35 -0500
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Here is a show all:
Thanks,
project-# ;
NOTICE: enable_seqscan is on
NOTICE: enable_indexscan is on
NOTICE: enable_tidscan is on
NOTICE: enable_sort is on
NOTICE: enable_nestloop is on
NOTICE: enable_mergejoin is on
NOTICE: enable_hashjoin is on
NOTICE: ksqo is off
NOTICE: geqo is on
NOTICE: tcpip_socket is on
NOTICE: ssl is off
NOTICE: fsync is on
NOTICE: silent_mode is off
NOTICE: log_connections is off
NOTICE: log_timestamp is off
NOTICE: log_pid is off
NOTICE: debug_print_query is off
NOTICE: debug_print_parse is off
NOTICE: debug_print_rewritten is off
NOTICE: debug_print_plan is off
NOTICE: debug_pretty_print is off
NOTICE: show_parser_stats is off
NOTICE: show_planner_stats is off
NOTICE: show_executor_stats is off
NOTICE: show_query_stats is off
NOTICE: stats_start_collector is on
NOTICE: stats_reset_on_server_start is on
NOTICE: stats_command_string is off
NOTICE: stats_row_level is off
NOTICE: stats_block_level is off
NOTICE: trace_notify is off
NOTICE: hostname_lookup is off
NOTICE: show_source_port is off
NOTICE: sql_inheritance is on
NOTICE: australian_timezones is off
NOTICE: fixbtree is on
NOTICE: password_encryption is off
NOTICE: transform_null_equals is off
NOTICE: geqo_threshold is 11
NOTICE: geqo_pool_size is 0
NOTICE: geqo_effort is 1
NOTICE: geqo_generations is 0
NOTICE: geqo_random_seed is -1
NOTICE: deadlock_timeout is 1000
NOTICE: syslog is 0
NOTICE: max_connections is 64
NOTICE: shared_buffers is 128
NOTICE: port is 5432
NOTICE: unix_socket_permissions is 511
NOTICE: sort_mem is 1024
NOTICE: vacuum_mem is 8192
NOTICE: max_files_per_process is 1000
NOTICE: debug_level is 0
NOTICE: max_expr_depth is 10000
NOTICE: max_fsm_relations is 100
NOTICE: max_fsm_pages is 10000
NOTICE: max_locks_per_transaction is 64
NOTICE: authentication_timeout is 60
NOTICE: pre_auth_delay is 0
NOTICE: checkpoint_segments is 3
NOTICE: checkpoint_timeout is 300
NOTICE: wal_buffers is 8
NOTICE: wal_files is 0
NOTICE: wal_debug is 0
NOTICE: commit_delay is 0
NOTICE: commit_siblings is 5
NOTICE: effective_cache_size is 1000
NOTICE: random_page_cost is 4
NOTICE: cpu_tuple_cost is 0.01
NOTICE: cpu_index_tuple_cost is 0.001
NOTICE: cpu_operator_cost is 0.0025
NOTICE: geqo_selection_bias is 2
NOTICE: default_transaction_isolation is read committed
NOTICE: dynamic_library_path is $libdir
NOTICE: krb_server_keyfile is FILE:/etc/pgsql/krb5.keytab
NOTICE: syslog_facility is LOCAL0
NOTICE: syslog_ident is postgres
NOTICE: unix_socket_group is unset
NOTICE: unix_socket_directory is unset
NOTICE: virtual_host is unset
NOTICE: wal_sync_method is fdatasync
NOTICE: DateStyle is ISO with US (NonEuropean) conventions
NOTICE: Time zone is unset
NOTICE: TRANSACTION ISOLATION LEVEL is READ COMMITTED
NOTICE: Current client encoding is 'SQL_ASCII'
NOTICE: Current server encoding is 'SQL_ASCII'
NOTICE: Seed for random number generator is unavailable
SHOW VARIABLE
project=#
> -----Original Message-----
> From: pgsql-performance-owner@postgresql.org
> [mailto:pgsql-performance-owner@postgresql.org]On Behalf Of Justin Clift
> Sent: Monday, October 07, 2002 2:30 PM
> To: josh@agliodbs.com
> Cc: marie.tuite@edisonaffiliates.com; pgsql-performance@postgresql.org
> Subject: Re: [pgsql-performance] sloooow query
>
>
> Josh Berkus wrote:
> >
> > Marie,
> >
> > > I am experiencing slow db performance. I have vacuumed,
> analyzed, reindexed
> > > using the force option and performance remains the same -
> dog-slow :( If I
> > > drop and recreate the database, performance is normal, so
> this suggests a
> > > problem with the indexes? I also took a look at the
> postgresql.conf and all
> > > appears fine. There are many instances of the same database
> running on
> > > different servers and not all servers are experiencing the problem.
> >
> > Please post the following:
> > 1) A copy of the relevant portions of your database schema.
> > 2) The query that is running slowly.
> > 3) The results of running EXPLAIN on that query.
> > 4) Your PostgreSQL version and operating system
> > 5) Any other relevant information about your databases, such as
> the quantity
> > of inserts and deletes on the relevant tables.
>
> 6) And the sort_mem, shared_buffers, vacuum_mem, wal_buffers, and
> wal_files settings from your postgresql.conf file, if possible.
>
> :-)
>
> Regards and best wishes,
>
> Justin Clift
>
>
> > --
> > -Josh Berkus
> > Aglio Database Solutions
> > San Francisco
> >
> > ---------------------------(end of broadcast)---------------------------
> > TIP 5: Have you checked our extensive FAQ?
> >
> > http://www.postgresql.org/users-lounge/docs/faq.html
>
> --
> "My grandfather once told me that there are two kinds of people: those
> who work and those who take the credit. He told me to try to be in the
> first group; there was less competition there."
> - Indira Gandhi
>
> ---------------------------(end of broadcast)---------------------------
> TIP 1: subscribe and unsubscribe commands go to majordomo@postgresql.org
>
From pgsql-performance-owner@postgresql.org Mon Oct 7 16:10:01 2002
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From: Josh Berkus <josh@agliodbs.com>
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Organization: Aglio Database Solutions
To: <marie.tuite@edisonaffiliates.com>,
<pgsql-performance@postgresql.org>
Subject: Re: sloooow query
Date: Mon, 7 Oct 2002 13:12:21 -0700
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Marie,
> I pg_dumped the first database having performance problems and reloaded it
> into a new database on the same server. The query ran normally when I
> reloaded it. There is no difference in hardware, schema or anything else.
That's a pretty brutal query.=20=20
From the comparison between the two queries, it looks like you have a lot o=
f=20
discarded rows cluttering up the original database, just like I did.=20=20
What happens if you run VACUUM FULL VERBOSE on the Bad database? Does it=
=20
report lots of rows taken up?
--=20
-Josh Berkus
______AGLIO DATABASE SOLUTIONS___________________________
Josh Berkus
Complete information technology josh@agliodbs.com
and data management solutions (415) 565-7293
for law firms, small businesses fax 621-2533
and non-profit organizations. San Francisco
From pgsql-performance-owner@postgresql.org Mon Oct 7 16:15:39 2002
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Date: Tue, 08 Oct 2002 06:15:35 +1000
From: Justin Clift <justin@postgresql.org>
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Subject: Re: sloooow query
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Hi Marie,
Ok, not sure about the SQL side of things (got scared just *looking* at
that query), but if this is at least a mostly-dedicated database server
then you might want to bump up some of those buffer values. They look
like defaults (except the max_connections and shared buffers).
Initial thought is making just sort_mem = 8192 or so as a minimum (it
could go a lot higher, but not sure of your memory configuration), as
see if that makes a difference.
Not sure the wal_files = 0 bit is good either. Haven't seen that set to
0 before.
Might not assist with your present crisis, but am guessing PostgreSQL is
chewing a lot of CPU and being slow in general with the present
settings.
:-)
Regards and best wishes,
Justin Clift
"Marie G. Tuite" wrote:
>
> Here is a show all:
>
> Thanks,
>
> project-# ;
> NOTICE: enable_seqscan is on
> NOTICE: enable_indexscan is on
> NOTICE: enable_tidscan is on
> NOTICE: enable_sort is on
> NOTICE: enable_nestloop is on
> NOTICE: enable_mergejoin is on
> NOTICE: enable_hashjoin is on
> NOTICE: ksqo is off
> NOTICE: geqo is on
> NOTICE: tcpip_socket is on
> NOTICE: ssl is off
> NOTICE: fsync is on
> NOTICE: silent_mode is off
> NOTICE: log_connections is off
> NOTICE: log_timestamp is off
> NOTICE: log_pid is off
> NOTICE: debug_print_query is off
> NOTICE: debug_print_parse is off
> NOTICE: debug_print_rewritten is off
> NOTICE: debug_print_plan is off
> NOTICE: debug_pretty_print is off
> NOTICE: show_parser_stats is off
> NOTICE: show_planner_stats is off
> NOTICE: show_executor_stats is off
> NOTICE: show_query_stats is off
> NOTICE: stats_start_collector is on
> NOTICE: stats_reset_on_server_start is on
> NOTICE: stats_command_string is off
> NOTICE: stats_row_level is off
> NOTICE: stats_block_level is off
> NOTICE: trace_notify is off
> NOTICE: hostname_lookup is off
> NOTICE: show_source_port is off
> NOTICE: sql_inheritance is on
> NOTICE: australian_timezones is off
> NOTICE: fixbtree is on
> NOTICE: password_encryption is off
> NOTICE: transform_null_equals is off
> NOTICE: geqo_threshold is 11
> NOTICE: geqo_pool_size is 0
> NOTICE: geqo_effort is 1
> NOTICE: geqo_generations is 0
> NOTICE: geqo_random_seed is -1
> NOTICE: deadlock_timeout is 1000
> NOTICE: syslog is 0
> NOTICE: max_connections is 64
> NOTICE: shared_buffers is 128
> NOTICE: port is 5432
> NOTICE: unix_socket_permissions is 511
> NOTICE: sort_mem is 1024
> NOTICE: vacuum_mem is 8192
> NOTICE: max_files_per_process is 1000
> NOTICE: debug_level is 0
> NOTICE: max_expr_depth is 10000
> NOTICE: max_fsm_relations is 100
> NOTICE: max_fsm_pages is 10000
> NOTICE: max_locks_per_transaction is 64
> NOTICE: authentication_timeout is 60
> NOTICE: pre_auth_delay is 0
> NOTICE: checkpoint_segments is 3
> NOTICE: checkpoint_timeout is 300
> NOTICE: wal_buffers is 8
> NOTICE: wal_files is 0
> NOTICE: wal_debug is 0
> NOTICE: commit_delay is 0
> NOTICE: commit_siblings is 5
> NOTICE: effective_cache_size is 1000
> NOTICE: random_page_cost is 4
> NOTICE: cpu_tuple_cost is 0.01
> NOTICE: cpu_index_tuple_cost is 0.001
> NOTICE: cpu_operator_cost is 0.0025
> NOTICE: geqo_selection_bias is 2
> NOTICE: default_transaction_isolation is read committed
> NOTICE: dynamic_library_path is $libdir
> NOTICE: krb_server_keyfile is FILE:/etc/pgsql/krb5.keytab
> NOTICE: syslog_facility is LOCAL0
> NOTICE: syslog_ident is postgres
> NOTICE: unix_socket_group is unset
> NOTICE: unix_socket_directory is unset
> NOTICE: virtual_host is unset
> NOTICE: wal_sync_method is fdatasync
> NOTICE: DateStyle is ISO with US (NonEuropean) conventions
> NOTICE: Time zone is unset
> NOTICE: TRANSACTION ISOLATION LEVEL is READ COMMITTED
> NOTICE: Current client encoding is 'SQL_ASCII'
> NOTICE: Current server encoding is 'SQL_ASCII'
> NOTICE: Seed for random number generator is unavailable
> SHOW VARIABLE
> project=#
>
> > -----Original Message-----
> > From: pgsql-performance-owner@postgresql.org
> > [mailto:pgsql-performance-owner@postgresql.org]On Behalf Of Justin Clift
> > Sent: Monday, October 07, 2002 2:30 PM
> > To: josh@agliodbs.com
> > Cc: marie.tuite@edisonaffiliates.com; pgsql-performance@postgresql.org
> > Subject: Re: [pgsql-performance] sloooow query
> >
> >
> > Josh Berkus wrote:
> > >
> > > Marie,
> > >
> > > > I am experiencing slow db performance. I have vacuumed,
> > analyzed, reindexed
> > > > using the force option and performance remains the same -
> > dog-slow :( If I
> > > > drop and recreate the database, performance is normal, so
> > this suggests a
> > > > problem with the indexes? I also took a look at the
> > postgresql.conf and all
> > > > appears fine. There are many instances of the same database
> > running on
> > > > different servers and not all servers are experiencing the problem.
> > >
> > > Please post the following:
> > > 1) A copy of the relevant portions of your database schema.
> > > 2) The query that is running slowly.
> > > 3) The results of running EXPLAIN on that query.
> > > 4) Your PostgreSQL version and operating system
> > > 5) Any other relevant information about your databases, such as
> > the quantity
> > > of inserts and deletes on the relevant tables.
> >
> > 6) And the sort_mem, shared_buffers, vacuum_mem, wal_buffers, and
> > wal_files settings from your postgresql.conf file, if possible.
> >
> > :-)
> >
> > Regards and best wishes,
> >
> > Justin Clift
> >
> >
> > > --
> > > -Josh Berkus
> > > Aglio Database Solutions
> > > San Francisco
> > >
> > > ---------------------------(end of broadcast)---------------------------
> > > TIP 5: Have you checked our extensive FAQ?
> > >
> > > http://www.postgresql.org/users-lounge/docs/faq.html
> >
> > --
> > "My grandfather once told me that there are two kinds of people: those
> > who work and those who take the credit. He told me to try to be in the
> > first group; there was less competition there."
> > - Indira Gandhi
> >
> > ---------------------------(end of broadcast)---------------------------
> > TIP 1: subscribe and unsubscribe commands go to majordomo@postgresql.org
> >
--
"My grandfather once told me that there are two kinds of people: those
who work and those who take the credit. He told me to try to be in the
first group; there was less competition there."
- Indira Gandhi
From pgsql-performance-owner@postgresql.org Mon Oct 7 16:32:08 2002
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From: "Marie G. Tuite" <marie.tuite@edisonaffiliates.com>
To: <josh@agliodbs.com>, <pgsql-performance@postgresql.org>
Subject: Re: sloooow query
Date: Mon, 7 Oct 2002 15:34:11 -0500
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> What happens if you run VACUUM FULL VERBOSE on the Bad database? Does it
> report lots of rows taken up?
I ran the vacuum for selected tables. It looks fine, I think, but I amn't
always sure what I am reading in output.
project=# vacuum full verbose classes;
NOTICE: --Relation classes--
NOTICE: Pages 5: Changed 0, reaped 2, Empty 0, New 0; Tup 332: Vac 0,
Keep/VTL 0/0, UnUsed 33, MinLen 93, MaxLen 117; Re-using: Free/Avail. Space
3020/2832; EndEmpty/Avail. Pages 0/1.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: Index class_pkey: Pages 5; Tuples 332: Deleted 0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: Rel classes: Pages: 5 --> 5; Tuple(s) moved: 0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: --Relation pg_toast_595650--
NOTICE: Pages 0: Changed 0, reaped 0, Empty 0, New 0; Tup 0: Vac 0,
Keep/VTL 0/0, UnUsed 0, MinLen 0, MaxLen 0; Re-using: Free/Avail. Space 0/0;
EndEmpty/Avail. Pages 0/0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: Index pg_toast_595650_idx: Pages 1; Tuples 0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
VACUUM
project=# vacuum full verbose bm_publications;
NOTICE: --Relation bm_publications--
NOTICE: Pages 2: Changed 0, reaped 1, Empty 0, New 0; Tup 284: Vac 0,
Keep/VTL 0/0, UnUsed 6, MinLen 52, MaxLen 52; Re-using: Free/Avail. Space
416/416; EndEmpty/Avail. Pages 0/2.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: Index bm_publications_pkey: Pages 4; Tuples 284: Deleted 0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: Rel bm_publications: Pages: 2 --> 2; Tuple(s) moved: 0.
CPU 0.00s/0.01u sec elapsed 0.00 sec.
VACUUM
project=# vacuum full verbose user_common;
NOTICE: --Relation user_common--
NOTICE: Pages 21: Changed 0, reaped 19, Empty 0, New 0; Tup 1045: Vac 0,
Keep/VTL 0/0, UnUsed 103, MinLen 117, MaxLen 221; Re-using: Free/Avail.
Space 4080/2968; EndEmpty/Avail. Pages 0/2.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: Index user_common_pkey: Pages 20; Tuples 1045: Deleted 0.
CPU 0.01s/0.00u sec elapsed 0.00 sec.
NOTICE: Rel user_common: Pages: 21 --> 21; Tuple(s) moved: 0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: --Relation pg_toast_474892--
NOTICE: Pages 0: Changed 0, reaped 0, Empty 0, New 0; Tup 0: Vac 0,
Keep/VTL 0/0, UnUsed 0, MinLen 0, MaxLen 0; Re-using: Free/Avail. Space 0/0;
EndEmpty/Avail. Pages 0/0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: Index pg_toast_474892_idx: Pages 1; Tuples 0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
VACUUM
project=# vacuum full verbose bm_subscriptions_rlt;
NOTICE: --Relation bm_subscriptions_rlt--
NOTICE: Pages 1: Changed 0, reaped 1, Empty 0, New 0; Tup 114: Vac 0,
Keep/VTL 0/0, UnUsed 1, MinLen 57, MaxLen 57; Re-using: Free/Avail. Space
872/872; EndEmpty/Avail. Pages 0/1.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: Index bm_subscriptions_rlt_pkey: Pages 2; Tuples 114: Deleted 0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
NOTICE: Rel bm_subscriptions_rlt: Pages: 1 --> 1; Tuple(s) moved: 0.
CPU 0.00s/0.00u sec elapsed 0.00 sec.
VACUUM
project=#
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From: Josh Berkus <josh@agliodbs.com>
Reply-To: josh@agliodbs.com
Organization: Aglio Database Solutions
To: <marie.tuite@edisonaffiliates.com>,
<pgsql-performance@postgresql.org>
Subject: Re: sloooow query
Date: Mon, 7 Oct 2002 13:44:31 -0700
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Marie,
> I ran the vacuum for selected tables. It looks fine, I think, but I amn't
> always sure what I am reading in output.
So much for the easy answer. The reason I wanted to see a VACUUM FULL is=
=20
that the query on the "bad" database is taking a long time to return even t=
he=20
first row of many of its sub-parts. This is usually the result of not=20
running VACUUM FULL after a lot of deletions.
However, your problem apparently is something else. Is is possible that=
=20
there is some kind of disk access problem for the bad database copy? Is=20
there a difference in where its files are physically located?
--=20
-Josh Berkus
Aglio Database Solutions
San Francisco
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Subject: Re: sloooow query
From: Robert Treat <xzilla@users.sourceforge.net>
To: Justin Clift <justin@postgresql.org>
Cc: marie.tuite@edisonaffiliates.com, josh@agliodbs.com,
pgsql-performance@postgresql.org
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On Mon, 2002-10-07 at 16:15, Justin Clift wrote:
> Hi Marie,
>
> Not sure the wal_files = 0 bit is good either. Haven't seen that set to
> 0 before.
>
This is the default value, and I don't recall anything in the docs that
would suggest to change it. Also IIRC the back end will auto adjust the
# of wal_files as needed in newer versions. Unless your seeing messages
like "DEBUG: XLogWrite: new log file created - consider increasing
WAL_FILES" I think you can leave this alone. Can you point me to
something that says different?
Robert Treat
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Subject: Re: sloooow query
From: Robert Treat <xzilla@users.sourceforge.net>
To: marie.tuite@edisonaffiliates.com
Cc: josh@agliodbs.com, pgsql-performance@postgresql.org
In-Reply-To: <IGELKLINGDMODABPOOFECEBECJAA.marie.tuite@edisonaffiliates.com>
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On Mon, 2002-10-07 at 16:34, Marie G. Tuite wrote:
> > What happens if you run VACUUM FULL VERBOSE on the Bad database? Does it
> > report lots of rows taken up?
>
> I ran the vacuum for selected tables. It looks fine, I think, but I amn't
> always sure what I am reading in output.
>
Is this vacuum being done on a system that is currently running slow, or
was this system recently dropped/reloaded?
Robert Treat
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To: marie.tuite@edisonaffiliates.com
Cc: josh@agliodbs.com, pgsql-performance@postgresql.org
Subject: Re: sloooow query
In-reply-to: <IGELKLINGDMODABPOOFEMEBBCJAA.marie.tuite@edisonaffiliates.com>
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Comments: In-reply-to "Marie G. Tuite" <marie.tuite@edisonaffiliates.com>
message dated "Mon, 07 Oct 2002 14:49:16 -0500"
Date: Mon, 07 Oct 2002 16:57:40 -0400
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From: Tom Lane <tgl@sss.pgh.pa.us>
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"Marie G. Tuite" <marie.tuite@edisonaffiliates.com> writes:
> I pg_dumped the first database having performance problems and reloaded it
> into a new database on the same server. The query ran normally when I
> reloaded it. There is no difference in hardware, schema or anything else.
Have you done an ANALYZE or VACUUM ANALYZE in either database? The
statistics the planner is working from seem to be quite different
in the two plans.
regards, tom lane
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Date: Tue, 08 Oct 2002 07:00:57 +1000
From: Justin Clift <justin@postgresql.org>
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To: Robert Treat <xzilla@users.sourceforge.net>
Cc: marie.tuite@edisonaffiliates.com, josh@agliodbs.com,
pgsql-performance@postgresql.org
Subject: Re: sloooow query
References: <IGELKLINGDMODABPOOFEEEBCCJAA.marie.tuite@edisonaffiliates.com>
<3DA1EB67.7D717CB0@postgresql.org> <1034023827.3539.99.camel@camel>
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Robert Treat wrote:
>
> On Mon, 2002-10-07 at 16:15, Justin Clift wrote:
> > Hi Marie,
> >
> > Not sure the wal_files = 0 bit is good either. Haven't seen that set to
> > 0 before.
> >
>
> This is the default value, and I don't recall anything in the docs that
> would suggest to change it. Also IIRC the back end will auto adjust the
> # of wal_files as needed in newer versions. Unless your seeing messages
> like "DEBUG: XLogWrite: new log file created - consider increasing
> WAL_FILES" I think you can leave this alone. Can you point me to
> something that says different?
Ahh... that makes sense. Have been doing almost nothing else recently
except for setting up new PostgreSQL databases, loading in data, then
doing load testing for things.
Have totally become so used to having wal_files being other than 0 that
it didn't even register that this is the default. ;->
Sorry about that, and thanks for the heads up.
:-)
Regards and best wishes,
Justin Clift
> Robert Treat
--
"My grandfather once told me that there are two kinds of people: those
who work and those who take the credit. He told me to try to be in the
first group; there was less competition there."
- Indira Gandhi
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From: "Marie G. Tuite" <marie.tuite@edisonaffiliates.com>
To: "Tom Lane" <tgl@sss.pgh.pa.us>
Cc: <josh@agliodbs.com>, <pgsql-performance@postgresql.org>
Subject: Re: sloooow query
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I have analyzed, vacuumed and reindexed.
> -----Original Message-----
> From: Tom Lane [mailto:tgl@sss.pgh.pa.us]
> Sent: Monday, October 07, 2002 3:58 PM
> To: marie.tuite@edisonaffiliates.com
> Cc: josh@agliodbs.com; pgsql-performance@postgresql.org
> Subject: Re: [pgsql-performance] sloooow query
>
>
> "Marie G. Tuite" <marie.tuite@edisonaffiliates.com> writes:
> > I pg_dumped the first database having performance problems and
> reloaded it
> > into a new database on the same server. The query ran normally when I
> > reloaded it. There is no difference in hardware, schema or
> anything else.
>
> Have you done an ANALYZE or VACUUM ANALYZE in either database? The
> statistics the planner is working from seem to be quite different
> in the two plans.
>
> regards, tom lane
>
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From: "Marie G. Tuite" <marie.tuite@edisonaffiliates.com>
To: "Robert Treat" <xzilla@users.sourceforge.net>
Cc: <josh@agliodbs.com>, <pgsql-performance@postgresql.org>
Subject: Re: sloooow query
Date: Mon, 7 Oct 2002 17:04:09 -0500
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> Is this vacuum being done on a system that is currently running slow, or
> was this system recently dropped/reloaded?
Currently slow.
From pgsql-performance-owner@postgresql.org Mon Oct 7 18:03:22 2002
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From: "Marie G. Tuite" <marie.tuite@edisonaffiliates.com>
To: <josh@agliodbs.com>, <pgsql-performance@postgresql.org>
Subject: Re: sloooow query
Date: Mon, 7 Oct 2002 17:05:41 -0500
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> However, your problem apparently is something else. Is is possible that
> there is some kind of disk access problem for the bad database copy? Is
> there a difference in where its files are physically located?
Both are in default storage - /var/lib/pgsql/data.
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To: "Robert Treat" <xzilla@users.sourceforge.net>
Cc: <josh@agliodbs.com>, <pgsql-performance@postgresql.org>
Subject: Re: sloooow query
Date: Mon, 7 Oct 2002 17:09:46 -0500
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> Is this vacuum being done on a system that is currently running slow, or
> was this system recently dropped/reloaded?
Currently slow.
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From: "Marie G. Tuite" <marie.tuite@edisonaffiliates.com>
To: "Pgsql-Performance@Postgresql. Org" <pgsql-performance@postgresql.org>
Subject: Re: sloooow query
Date: Mon, 7 Oct 2002 17:12:41 -0500
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> Have you done an ANALYZE or VACUUM ANALYZE in either database? The
> statistics the planner is working from seem to be quite different
> in the two plans.
I have vacuumed, analysed and reindexed.
From pgsql-general-owner@postgresql.org Mon Oct 7 20:03:23 2002
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From: Martijn van Oosterhout <kleptog@svana.org>
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Cc: "Pgsql-General@Postgresql. Org" <pgsql-general@postgresql.org>,
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Subject: Re: sloooow query
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On Mon, Oct 07, 2002 at 02:22:09PM -0500, Marie G. Tuite wrote:
> Hello all,
>
> I am experiencing slow db performance. I have vacuumed, analyzed, reindexed
> using the force option and performance remains the same - dog-slow :( If I
> drop and recreate the database, performance is normal, so this suggests a
> problem with the indexes? I also took a look at the postgresql.conf and all
> appears fine. There are many instances of the same database running on
> different servers and not all servers are experiencing the problem.
We need more details if you wish to receive useful answers. Query/EXPLAIN
output/schema, etc
--
Martijn van Oosterhout <kleptog@svana.org> http://svana.org/kleptog/
> There are 10 kinds of people in the world, those that can do binary
> arithmetic and those that can't.
From pgsql-general-owner@postgresql.org Tue Oct 8 01:43:47 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Date: Tue, 08 Oct 2002 11:14:11 +0530
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Subject: Re: [pgsql-performance] Large databases, performance
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On 7 Oct 2002 at 11:21, Tom Lane wrote:
> "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in> writes:
> > I say if it's a char field, there should be no indicator of length as
> > it's not required. Just store those many characters straight ahead..
>
> Your assumption fails when considering UNICODE or other multibyte
> character encodings.
Correct but is it possible to have real char string when database is not
unicode or when locale defines size of char, to be exact?
In my case varchar does not make sense as all strings are guaranteed to be of
defined length. While the argument you have put is correct, it's causing a disk
space leak, to say so.
Bye
Shridhar
--
Boucher's Observation: He who blows his own horn always plays the music several
octaves higher than originally written.
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From: Martijn van Oosterhout <kleptog@svana.org>
To: Shridhar Daithankar <shridhar_daithankar@persistent.co.in>
Cc: pgsql-hackers@postgresql.org,
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Subject: Re: [pgsql-performance] Large databases, performance
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On Tue, Oct 08, 2002 at 11:14:11AM +0530, Shridhar Daithankar wrote:
> On 7 Oct 2002 at 11:21, Tom Lane wrote:
>
> > "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in> writes:
> > > I say if it's a char field, there should be no indicator of length as
> > > it's not required. Just store those many characters straight ahead..
> >
> > Your assumption fails when considering UNICODE or other multibyte
> > character encodings.
>
> Correct but is it possible to have real char string when database is not
> unicode or when locale defines size of char, to be exact?
>
> In my case varchar does not make sense as all strings are guaranteed to be of
> defined length. While the argument you have put is correct, it's causing a disk
> space leak, to say so.
Well, maybe. But since 7.1 or so char() and varchar() simply became text
with some length restrictions. This was one of the reasons. It also
simplified a lot of code.
--
Martijn van Oosterhout <kleptog@svana.org> http://svana.org/kleptog/
> There are 10 kinds of people in the world, those that can do binary
> arithmetic and those that can't.
From pgsql-general-owner@postgresql.org Tue Oct 8 09:33:56 2002
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To: Tom Lane <tgl@sss.pgh.pa.us>
Cc: David Blood <david@matraex.com>, pgsql-general@postgresql.org
Subject: Re: Pinning a table into memory
References: <03a301c26bc5$a799a970$1f00a8c0@redwood>
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Tom Lane wrote:
>
> "David Blood" <david@matraex.com> writes:
> > In Oracle you can Pin large objects into memory to prevent frequent
> > reloads. Is there anyway to do this with Postgres?
>
> I can never understand why people think this would be a good idea.
> If you're hitting a table frequently, it will stay in memory anyway
> (either in Postgres shared buffers or kernel disk cache). If you're
> not hitting it frequently enough to keep it swapped in, then whatever
> is getting swapped in instead is probably a better candidate to be
> occupying the space.
As I understand it, he's looking for a mechanism to prevent a single
sequential scan on a table, larger than the buffer cache, to kick out
everything else at once. But I agree with you that pinning other objects
is just mucking with the symptoms instead of curing the desease.
Jan
--
#======================================================================#
# It's easier to get forgiveness for being wrong than for being right. #
# Let's break this rule - forgive me. #
#================================================== JanWieck@Yahoo.com #
From pgsql-performance-owner@postgresql.org Tue Oct 8 09:53:18 2002
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Subject: Re: [GENERAL] Large databases, performance
From: Ron Johnson <ron.l.johnson@cox.net>
To: pgsql-performance@postgresql.org
In-Reply-To: <20021008072047.GB558@svana.org>
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On Tue, 2002-10-08 at 02:20, Martijn van Oosterhout wrote:
> On Tue, Oct 08, 2002 at 11:14:11AM +0530, Shridhar Daithankar wrote:
> > On 7 Oct 2002 at 11:21, Tom Lane wrote:
> >
> > > "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in> writes:
> > > > I say if it's a char field, there should be no indicator of length as
> > > > it's not required. Just store those many characters straight ahead..
> > >
> > > Your assumption fails when considering UNICODE or other multibyte
> > > character encodings.
> >
> > Correct but is it possible to have real char string when database is not
> > unicode or when locale defines size of char, to be exact?
> >
> > In my case varchar does not make sense as all strings are guaranteed to be of
> > defined length. While the argument you have put is correct, it's causing a disk
> > space leak, to say so.
Not only that, but you get INSERT, UPDATE, DELETE and SELECT performance
gains with fixed length records, since you don't get fragmentation.
For example:
TABLE T
F1 INTEGER;
F2 VARCHAR(200)
INSERT INTO T VALUES (1, 'FOO BAR');
INSERT INTO T VALUES (2, 'SNAFU');
Next,
UPDATE T SET F2 = 'WIGGLE WAGGLE WUMPERSTUMPER' WHERE F1 = 1;
Unless there is a big gap on disk between the 2 inserted records,
postgresql must then look somewhere else for space to put the new
version of T WHERE F1 = 1.
With fixed-length records, you know exactly where you can put the
new value of F2, thus minimizing IO.
> Well, maybe. But since 7.1 or so char() and varchar() simply became text
> with some length restrictions. This was one of the reasons. It also
> simplified a lot of code.
How much simpler can you get than fixed-length records?
Of course, then there are 2 code paths, 1 for fixed length, and
1 for variable length.
--
+------------------------------------------------------------+
| Ron Johnson, Jr. mailto:ron.l.johnson@cox.net |
| Jefferson, LA USA http://members.cox.net/ron.l.johnson |
| |
| "they love our milk and honey, but preach about another |
| way of living" |
| Merle Haggard, "The Fighting Side Of Me" |
+------------------------------------------------------------+
From pgsql-performance-owner@postgresql.org Tue Oct 8 10:38:00 2002
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To: Ron Johnson <ron.l.johnson@cox.net>
Cc: pgsql-performance@postgresql.org
Subject: Re: [GENERAL] Large databases, performance
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Comments: In-reply-to Ron Johnson <ron.l.johnson@cox.net>
message dated "08 Oct 2002 08:50:52 -0500"
Date: Tue, 08 Oct 2002 10:38:02 -0400
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From: Tom Lane <tgl@sss.pgh.pa.us>
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Ron Johnson <ron.l.johnson@cox.net> writes:
> Not only that, but you get INSERT, UPDATE, DELETE and SELECT performance
> gains with fixed length records, since you don't get fragmentation.
That argument loses a lot of its force when you consider that Postgres
uses non-overwriting storage management. We never do an UPDATE in-place
anyway, and so it matters little whether the updated record is the same
size as the original.
>> Well, maybe. But since 7.1 or so char() and varchar() simply became text
>> with some length restrictions. This was one of the reasons. It also
>> simplified a lot of code.
> How much simpler can you get than fixed-length records?
It's not simpler: it's more complicated, because you need an additional
input item to figure out the size of any given column in a record.
Making sure that that info is available every place it's needed is one
of the costs of supporting a feature like this.
regards, tom lane
From pgsql-performance-owner@postgresql.org Tue Oct 8 10:41:20 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-performance@postgresql.org
Date: Tue, 08 Oct 2002 20:11:47 +0530
MIME-Version: 1.0
Subject: Re: [GENERAL] Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
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On 8 Oct 2002 at 10:38, Tom Lane wrote:
> Ron Johnson <ron.l.johnson@cox.net> writes:
> It's not simpler: it's more complicated, because you need an additional
> input item to figure out the size of any given column in a record.
> Making sure that that info is available every place it's needed is one
> of the costs of supporting a feature like this.
I understand. Can we put this in say page header instead of tuple header. While
all the arguments you have put are really good, the stellar redundancy
certainly can do with a mid-way solution.
Just a thought..
Bye
Shridhar
--
bit, n: A unit of measure applied to color. Twenty-four-bit color refers to
expensive $3 color as opposed to the cheaper 25 cent, or two-bit, color that
use to be available a few years ago.
From pgsql-performance-owner@postgresql.org Tue Oct 8 11:17:06 2002
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Subject: Re: [GENERAL] Large databases, performance
From: Ron Johnson <ron.l.johnson@cox.net>
To: pgsql-performance@postgresql.org
In-Reply-To: <1928.1034087882@sss.pgh.pa.us>
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On Tue, 2002-10-08 at 09:38, Tom Lane wrote:
> Ron Johnson <ron.l.johnson@cox.net> writes:
> > Not only that, but you get INSERT, UPDATE, DELETE and SELECT performance
> > gains with fixed length records, since you don't get fragmentation.
>
> That argument loses a lot of its force when you consider that Postgres
> uses non-overwriting storage management. We never do an UPDATE in-place
> anyway, and so it matters little whether the updated record is the same
> size as the original.
Must you update any relative indexes, in order to point to the
new location of the record?
> >> Well, maybe. But since 7.1 or so char() and varchar() simply became text
> >> with some length restrictions. This was one of the reasons. It also
> >> simplified a lot of code.
>
> > How much simpler can you get than fixed-length records?
>
> It's not simpler: it's more complicated, because you need an additional
> input item to figure out the size of any given column in a record.
With fixed-length, why? From the metadata, you can compute the intra-
record offsets. That's how it works with the commercial RDBMS that
I use at work.
On that system, even variable-length records don't need record-size
fields. Any repeating text (more that ~4 chars) is replaced with
run-length encoding. This includes the phantom spaces at the end
of the field.
> Making sure that that info is available every place it's needed is one
> of the costs of supporting a feature like this.
--
+------------------------------------------------------------+
| Ron Johnson, Jr. mailto:ron.l.johnson@cox.net |
| Jefferson, LA USA http://members.cox.net/ron.l.johnson |
| |
| "they love our milk and honey, but preach about another |
| way of living" |
| Merle Haggard, "The Fighting Side Of Me" |
+------------------------------------------------------------+
From pgsql-performance-owner@postgresql.org Tue Oct 8 11:35:12 2002
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: CHAR, VARCHAR, TEXT (Was Large Databases)
To: Ron Johnson <ron.l.johnson@cox.net>,
pgsql-performance@postgresql.org
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Ron, Shridhar,
Maybe I missed something on this thread, but can either of you give me
an example of a real database where the PostgreSQL approach of "all
strings are TEXT" versus the more traditional CHAR implementation have
resulted in measurable performance loss?
Otherwise, this discussion is rather academic ...
-Josh Berkus
From pgsql-performance-owner@postgresql.org Tue Oct 8 11:51:10 2002
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To: Ron Johnson <ron.l.johnson@cox.net>
Cc: pgsql-performance@postgresql.org
Subject: Re: [GENERAL] Large databases, performance
In-reply-to: <1034090215.1094.42.camel@haggis>
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<1034090215.1094.42.camel@haggis>
Comments: In-reply-to Ron Johnson <ron.l.johnson@cox.net>
message dated "08 Oct 2002 10:16:55 -0500"
Date: Tue, 08 Oct 2002 11:51:12 -0400
Message-ID: <2502.1034092272@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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Ron Johnson <ron.l.johnson@cox.net> writes:
> On Tue, 2002-10-08 at 09:38, Tom Lane wrote:
>> That argument loses a lot of its force when you consider that Postgres
>> uses non-overwriting storage management. We never do an UPDATE in-place
>> anyway, and so it matters little whether the updated record is the same
>> size as the original.
> Must you update any relative indexes, in order to point to the
> new location of the record?
We make new index entries for the new record, yes. Both the old and new
records must be indexed (until one or the other is garbage-collected by
VACUUM) so that transactions can find whichever version they are
supposed to be able to see according to the tuple visibility rules.
>> It's not simpler: it's more complicated, because you need an additional
>> input item to figure out the size of any given column in a record.
> With fixed-length, why? From the metadata, you can compute the intra-
> record offsets.
Sure, but you need an additional item of metadata than you otherwise
would (this is atttypmod, in Postgres terms). I'm not certain that the
typmod is available everyplace that would need to be able to figure out
the physical width of a column.
> On that system, even variable-length records don't need record-size
> fields. Any repeating text (more that ~4 chars) is replaced with
> run-length encoding. This includes the phantom spaces at the end
> of the field.
Interesting that you should bring that up in the context of an argument
for supporting fixed-width fields ;-). Doesn't any form of data
compression bring you right back into variable-width land?
Postgres' approach to data compression is that it's done per-field,
and only on variable-width fields. We steal a couple of bits from the
length word to allow flagging of compressed and out-of-line values.
If we were to make CHAR(n) fixed-width then it would lose the ability
to participate in either compression or out-of-line storage.
Between that and the multibyte-encoding issue, I think it's very
difficult to make a case that the general-purpose CHAR(n) type should
be implemented as fixed-width. If someone has a specialized application
where they need a restricted fixed-width string type, it's not that
hard to make a user-defined type that supports only a single column
width (and thereby gets around the typmod issue). So I'm satisfied with
saying "define your own type if you want this".
regards, tom lane
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Subject: Re: CHAR, VARCHAR, TEXT (Was Large Databases)
From: Ron Johnson <ron.l.johnson@cox.net>
To: pgsql-performance@postgresql.org
In-Reply-To: <web-1775407@davinci.ethosmedia.com>
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On Tue, 2002-10-08 at 10:33, Josh Berkus wrote:
> Ron, Shridhar,
>
> Maybe I missed something on this thread, but can either of you give me
> an example of a real database where the PostgreSQL approach of "all
> strings are TEXT" versus the more traditional CHAR implementation have
> resulted in measurable performance loss?
??????
> Otherwise, this discussion is rather academic ...
--
+------------------------------------------------------------+
| Ron Johnson, Jr. mailto:ron.l.johnson@cox.net |
| Jefferson, LA USA http://members.cox.net/ron.l.johnson |
| |
| "they love our milk and honey, but preach about another |
| way of living" |
| Merle Haggard, "The Fighting Side Of Me" |
+------------------------------------------------------------+
From pgsql-performance-owner@postgresql.org Tue Oct 8 18:45:36 2002
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From: Josh Berkus <josh@agliodbs.com>
Organization: Aglio Database Solutions
To: Ron Johnson <ron.l.johnson@cox.net>,
pgsql-performance@postgresql.org
Subject: Re: CHAR, VARCHAR, TEXT (Was Large Databases)
Date: Tue, 8 Oct 2002 15:44:36 -0700
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Ron,
> > Maybe I missed something on this thread, but can either of you give me
> > an example of a real database where the PostgreSQL approach of "all
> > strings are TEXT" versus the more traditional CHAR implementation have
> > resulted in measurable performance loss?
>
> ??????
In other words, if it ain't broke, don't fix it.
--=20
Josh Berkus
josh@agliodbs.com
Aglio Database Solutions
San Francisco
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From: Martijn van Oosterhout <kleptog@svana.org>
To: Zeugswetter Andreas SB SD <ZeugswetterA@spardat.at>
Cc: Manfred Koizar <mkoi-pg@aon.at>,
shridhar_daithankar@persistent.co.in, pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
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Subject: Re: [HACKERS] Large databases, performance
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Manfred Koizar <mkoi-pg@aon.at>,
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On Mon, Oct 07, 2002 at 05:42:12PM +0200, Zeugswetter Andreas SB SD wrote:
> > Hackers, do you think it's possible to hack together a quick and dirty
> > patch, so that string length is represented by one byte? IOW can a
> > database be built that doesn't contain any char/varchar/text value
> > longer than 255 characters in the catalog?
>
> Since he is only using fixchar how about doing a fixchar implemetation, that
> does not store length at all ? It is the same for every row anyways !
Remember that in Unicode, 1 char != 1 byte. In fact, any encoding that's not
Latin will have a problem. I guess you could put a warning on it: not for
use for asian character sets. So what do you do if someone tries to insert
such a string anyway?
Perhaps a better approach is to vary the number of bytes used for the
length. So one byte for lengths < 64, two bytes for lengths < 16384.
Unfortunatly, two bits in the length are already used (IIRC) for other
things making it a bit more tricky.
--
Martijn van Oosterhout <kleptog@svana.org> http://svana.org/kleptog/
> There are 10 kinds of people in the world, those that can do binary
> arithmetic and those that can't.
From pgsql-performance-owner@postgresql.org Tue Oct 8 19:37:42 2002
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From: Josh Berkus <josh@agliodbs.com>
Organization: Aglio Database Solutions
To: Ron Johnson <ron.l.johnson@cox.net>,
pgsql-performance@postgresql.org
Subject: Re: CHAR, VARCHAR, TEXT (Was Large Databases)
Date: Tue, 8 Oct 2002 16:36:40 -0700
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Ron,
> > > > Maybe I missed something on this thread, but can either of you give
> > > > me an example of a real database where the PostgreSQL approach of
> > > > "all strings are TEXT" versus the more traditional CHAR
> > > > implementation have resulted in measurable performance loss?
> > >
> > > ??????
> >
> > In other words, if it ain't broke, don't fix it.
>
> Well, does Really Slow Performance qualify as "broke"?
That's what I was asking. Can you explain where your slow performance is=
=20
attibutable to the CHAR implementation issues? I missed that, if it was=
=20
explained earlier in the thread.
--=20
Josh Berkus
josh@agliodbs.com
Aglio Database Solutions
San Francisco
From pgsql-performance-owner@postgresql.org Tue Oct 8 23:47:28 2002
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: What does this tell me?
To: pgsql-performance@postgresql.org
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Folks,
I'm still having trouble with my massive data transformation procedures
taking forever to finish. Particularly, many of them will get about
1/2 way through, and then I will start seeing this in the log:
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000E4
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000E5
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000E6
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000E7
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000E8
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000E9
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000EA
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000EB
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000EC
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000ED
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000EE
2002-10-08 20:37:13 DEBUG: recycled transaction log file
0000000A000000EF
2002-10-08 20:37:13 DEBUG: reaping dead processes
2002-10-08 20:37:13 DEBUG: child process (pid 15270) exited with exit
code 0
... repeat ad nauseum. The problem is, each "recycle transaction log
... reaping dead child process" cycle takes about 4-7 minutes ...
meaning that the procedure can take up to 1/2 hour to finish, and
sometimes not finish at all.
Obviously, the system is telling me that it is running out of resources
somehow. But I'm at my wit's end to figure out what resources,
exactly. Suggestions?
-Josh Berkus
From pgsql-performance-owner@postgresql.org Tue Oct 8 23:49:46 2002
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From: Bruce Momjian <pgman@candle.pha.pa.us>
Message-Id: <200210090349.g993nab27932@candle.pha.pa.us>
Subject: Re: What does this tell me?
In-Reply-To: <web-1776486@davinci.ethosmedia.com>
To: Josh Berkus <josh@agliodbs.com>
Date: Tue, 8 Oct 2002 23:49:36 -0400 (EDT)
Cc: pgsql-performance@postgresql.org
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I think all it means is that is doesn't need some of the pg_clog files
and is reusing them, basically meaning you are pushing through lots of
transactions. I don't see it as a problem.
---------------------------------------------------------------------------
Josh Berkus wrote:
> Folks,
>
> I'm still having trouble with my massive data transformation procedures
> taking forever to finish. Particularly, many of them will get about
> 1/2 way through, and then I will start seeing this in the log:
>
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E4
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E5
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E6
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E7
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E8
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E9
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EA
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EB
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EC
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000ED
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EE
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EF
> 2002-10-08 20:37:13 DEBUG: reaping dead processes
> 2002-10-08 20:37:13 DEBUG: child process (pid 15270) exited with exit
> code 0
>
> ... repeat ad nauseum. The problem is, each "recycle transaction log
> ... reaping dead child process" cycle takes about 4-7 minutes ...
> meaning that the procedure can take up to 1/2 hour to finish, and
> sometimes not finish at all.
>
> Obviously, the system is telling me that it is running out of resources
> somehow. But I'm at my wit's end to figure out what resources,
> exactly. Suggestions?
>
> -Josh Berkus
>
> ---------------------------(end of broadcast)---------------------------
> TIP 4: Don't 'kill -9' the postmaster
>
--
Bruce Momjian | http://candle.pha.pa.us
pgman@candle.pha.pa.us | (610) 359-1001
+ If your life is a hard drive, | 13 Roberts Road
+ Christ can be your backup. | Newtown Square, Pennsylvania 19073
From pgsql-performance-owner@postgresql.org Tue Oct 8 23:50:50 2002
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From: Sean Chittenden <sean@chittenden.org>
To: Josh Berkus <josh@agliodbs.com>
Cc: pgsql-performance@postgresql.org
Subject: Re: What does this tell me?
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> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E4
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E5
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E6
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E7
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E8
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000E9
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EA
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EB
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EC
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000ED
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EE
> 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> 0000000A000000EF
> 2002-10-08 20:37:13 DEBUG: reaping dead processes
> 2002-10-08 20:37:13 DEBUG: child process (pid 15270) exited with exit
> code 0
>
> ... repeat ad nauseum. The problem is, each "recycle transaction
> log ... reaping dead child process" cycle takes about 4-7 minutes
> ... meaning that the procedure can take up to 1/2 hour to finish,
> and sometimes not finish at all.
>
> Obviously, the system is telling me that it is running out of
> resources somehow. But I'm at my wit's end to figure out what
> resources, exactly. Suggestions?
You're running out of WAL log space, iirc. Increase the number of WAL
logs available and you should be okay. If you're experiencing this
halfway through, I'd increase the size by 50%, say maybe 60-70% for
good measure. -sc
--
Sean Chittenden
From pgsql-performance-owner@postgresql.org Tue Oct 8 23:55:37 2002
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From: Bruce Momjian <pgman@candle.pha.pa.us>
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Subject: Re: What does this tell me?
In-Reply-To: <20021009035043.GC34365@perrin.int.nxad.com>
To: Sean Chittenden <sean@chittenden.org>
Date: Tue, 8 Oct 2002 23:55:10 -0400 (EDT)
Cc: Josh Berkus <josh@agliodbs.com>, pgsql-performance@postgresql.org
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Sean Chittenden wrote:
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000E4
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000E5
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000E6
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000E7
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000E8
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000E9
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000EA
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000EB
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000EC
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000ED
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000EE
> > 2002-10-08 20:37:13 DEBUG: recycled transaction log file
> > 0000000A000000EF
> > 2002-10-08 20:37:13 DEBUG: reaping dead processes
> > 2002-10-08 20:37:13 DEBUG: child process (pid 15270) exited with exit
> > code 0
> >
> > ... repeat ad nauseum. The problem is, each "recycle transaction
> > log ... reaping dead child process" cycle takes about 4-7 minutes
> > ... meaning that the procedure can take up to 1/2 hour to finish,
> > and sometimes not finish at all.
> >
> > Obviously, the system is telling me that it is running out of
> > resources somehow. But I'm at my wit's end to figure out what
> > resources, exactly. Suggestions?
>
> You're running out of WAL log space, iirc. Increase the number of WAL
> logs available and you should be okay. If you're experiencing this
> halfway through, I'd increase the size by 50%, say maybe 60-70% for
> good measure. -sc
Oh, yes, you are right. My hardware tuning guide mentions it. Strange
it is called the transaction log file:
http://www.ca.postgresql.org/docs/momjian/hw_performance/
Unless you are seeing this more freqently than every minute, it should
be fine.
--
Bruce Momjian | http://candle.pha.pa.us
pgman@candle.pha.pa.us | (610) 359-1001
+ If your life is a hard drive, | 13 Roberts Road
+ Christ can be your backup. | Newtown Square, Pennsylvania 19073
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: What does this tell me?
To: Bruce Momjian <pgman@candle.pha.pa.us>,
Sean Chittenden <sean@chittenden.org>
Cc: Josh Berkus <josh@agliodbs.com>, pgsql-performance@postgresql.org
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Bruce, Sean,
> Oh, yes, you are right. My hardware tuning guide mentions it.
> Strange
> it is called the transaction log file:
>
> http://www.ca.postgresql.org/docs/momjian/hw_performance/
>
> Unless you are seeing this more freqently than every minute, it
> should
> be fine.
Actually, it's apparently a real problem, because the function never
completes. Each cycle of "recycling transaction logs" takes longer
and longer, and eventually locks up completely.
What the function is doing is a succession of data cleanup procedures,
updating the same table about 50 times. I will be very thankful for
the day when I can commit within a procedure.
Unfortunately, I am already at the maximum number of WAL files (64).
What do I do now?
-Josh Berkus
From pgsql-performance-owner@postgresql.org Wed Oct 9 00:07:33 2002
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From: Bruce Momjian <pgman@candle.pha.pa.us>
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Subject: Re: What does this tell me?
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Josh Berkus wrote:
> Bruce, Sean,
>
> > Oh, yes, you are right. My hardware tuning guide mentions it.
> > Strange
> > it is called the transaction log file:
> >
> > http://www.ca.postgresql.org/docs/momjian/hw_performance/
> >
> > Unless you are seeing this more freqently than every minute, it
> > should
> > be fine.
>
> Actually, it's apparently a real problem, because the function never
> completes. Each cycle of "recycling transaction logs" takes longer
> and longer, and eventually locks up completely.
>
> What the function is doing is a succession of data cleanup procedures,
> updating the same table about 50 times. I will be very thankful for
> the day when I can commit within a procedure.
>
> Unfortunately, I am already at the maximum number of WAL files (64).
> What do I do now?
Wow, that is interesting. I thought one big transaction wouldn't lock
up the WAL records. I figured there would be a CHECKPOINT, and then the
WAL records could be recycled, even though the transaction is still
open.
Where do you see 64 as the maximum number of WAL segments. What is your
checkpoint_segments value? The actual number of files shouldn't be much
more than twice that value. What PostgreSQL version are you using?
--
Bruce Momjian | http://candle.pha.pa.us
pgman@candle.pha.pa.us | (610) 359-1001
+ If your life is a hard drive, | 13 Roberts Road
+ Christ can be your backup. | Newtown Square, Pennsylvania 19073
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From: Sean Chittenden <sean@chittenden.org>
To: Josh Berkus <josh@agliodbs.com>
Cc: Bruce Momjian <pgman@candle.pha.pa.us>,
pgsql-performance@postgresql.org
Subject: Re: What does this tell me?
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> > Oh, yes, you are right. My hardware tuning guide mentions it.
> > Strange it is called the transaction log file:
> >
> > http://www.ca.postgresql.org/docs/momjian/hw_performance/
> >
> > Unless you are seeing this more freqently than every minute, it
> > should
> > be fine.
>
> Actually, it's apparently a real problem, because the function never
> completes. Each cycle of "recycling transaction logs" takes longer
> and longer, and eventually locks up completely.
>
> What the function is doing is a succession of data cleanup
> procedures, updating the same table about 50 times. I will be very
> thankful for the day when I can commit within a procedure.
>
> Unfortunately, I am already at the maximum number of WAL files (64).
> What do I do now?
Isn't it possible to increase the size of your wal logs? I seem to
remember a tunable existing, but I can't find it in the default
config. Someone else know how off the top of their head? -sc
--
Sean Chittenden
From pgsql-performance-owner@postgresql.org Wed Oct 9 00:35:08 2002
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: What does this tell me?
To: Bruce Momjian <pgman@candle.pha.pa.us>,
Josh Berkus <josh@agliodbs.com>
Cc: pgsql-performance@postgresql.org
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Bruce,
> > First, an interesting wierdness from the VACUUM FULL ANALYZE:
> > Analyzing elbs_clidesc
> > 2002-10-08 21:08:08 DEBUG: SIInsertDataEntry: table is 70% full,
> > signaling postmaster
> >
> > Huh?
>
> Well, you are dealing with elbs. That is the problem. ;-)
<grin> As you probably guessed, the purpose of these procedures is to
take a large amount (about 60mb) of not-normalized data from ELBS and
normalize it for our web-based case management system.
What's really frustrating about it is that we're only going to be doing
this for 2-3 months before we jettison ELBS for reasons that should be
obvious to you. But for those 2-3 months, the data transfer needs to
work well, and right now it doesn't even finish.
> You shoulnd't need that and it shouldn't lock up when it gets to 64.
> It
> should checkpoint and move on. The only problem with it being lower
> is
> that it will checkpoint more often.
Well, I'll try 128 and see if that helps any.
>
> > Rest of postgresql.conf params after my signature. All
> suggestions
> > are welcome. This server has been acting "sick" since I started
> with
> > it, under-performing my workstation and MS SQL Server. Either I've
> set
> > something wrong, or there's a hardware problem I need to track
> down.
> >
> > BTW, is there any problem for postgres in turning the fill access
> time
> > recorder in the host filesystem off? This is often good for a
> minor
> > performance gain.
>
> No problem.
>
> You might want to try pgbench and see if that works.
Yeah. I was planning on that -- as well as the postgresql.conf tuner
-- as soon as I can get through one data transfer so that I have a
little working time.
-Josh Berkus
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From: Bruce Momjian <pgman@candle.pha.pa.us>
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Subject: Re: What does this tell me?
In-Reply-To: <web-1776567@davinci.ethosmedia.com>
To: Josh Berkus <josh@agliodbs.com>
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Josh Berkus wrote:
> > > Rest of postgresql.conf params after my signature. All
> > suggestions
> > > are welcome. This server has been acting "sick" since I started
> > with
> > > it, under-performing my workstation and MS SQL Server. Either I've
> > set
> > > something wrong, or there's a hardware problem I need to track
> > down.
> > >
> > > BTW, is there any problem for postgres in turning the fill access
> > time
> > > recorder in the host filesystem off? This is often good for a
> > minor
> > > performance gain.
> >
> > No problem.
> >
> > You might want to try pgbench and see if that works.
>
> Yeah. I was planning on that -- as well as the postgresql.conf tuner
> -- as soon as I can get through one data transfer so that I have a
> little working time.
I was suggesting pgbench because the system should never lock up on you.
Maybe something is very wrong.
What happens if you issue the CHECKPOINT command?
--
Bruce Momjian | http://candle.pha.pa.us
pgman@candle.pha.pa.us | (610) 359-1001
+ If your life is a hard drive, | 13 Roberts Road
+ Christ can be your backup. | Newtown Square, Pennsylvania 19073
From pgsql-performance-owner@postgresql.org Wed Oct 9 00:56:43 2002
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Josh Berkus wrote:
> What the function is doing is a succession of data cleanup procedures,
> updating the same table about 50 times. I will be very thankful for
> the day when I can commit within a procedure.
If that's the case, can you split the work up into multiple functions, and
execute them all from a shell script? Or perhaps even offload some of the data
massaging to perl or something? (It would be easier to recommend alternate
approaches with more details.)
Joe
From pgsql-performance-owner@postgresql.org Wed Oct 9 01:22:36 2002
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To: "Josh Berkus" <josh@agliodbs.com>
Cc: Bruce Momjian <pgman@candle.pha.pa.us>,
Sean Chittenden <sean@chittenden.org>, pgsql-performance@postgresql.org
Subject: Re: What does this tell me?
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Comments: In-reply-to "Josh Berkus" <josh@agliodbs.com>
message dated "Tue, 08 Oct 2002 21:01:58 -0700"
Date: Wed, 09 Oct 2002 01:22:26 -0400
Message-ID: <17558.1034140946@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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"Josh Berkus" <josh@agliodbs.com> writes:
> Actually, it's apparently a real problem, because the function never
> completes. Each cycle of "recycling transaction logs" takes longer
> and longer, and eventually locks up completely.
> What the function is doing is a succession of data cleanup procedures,
> updating the same table about 50 times. I will be very thankful for
> the day when I can commit within a procedure.
I think you are barking up the wrong tree.
The messages you show are perfectly normal operation, and prove nothing
much except that you pumped a lot of database updates through the
system. I think there's something wrong with your data transformation
application logic; or perhaps you are pumping so many updates through
your tables that you need some intermediate VACUUMs to get rid of
dead tuples. But messing with the WAL log parameters isn't going to
do a darn thing for you ... IMHO anyway.
regards, tom lane
From pgsql-performance-owner@postgresql.org Wed Oct 9 01:23:57 2002
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: What does this tell me?
To: Joe Conway <mail@joeconway.com>, Josh Berkus <josh@agliodbs.com>
Cc: Bruce Momjian <pgman@candle.pha.pa.us>,
Sean Chittenden <sean@chittenden.org>, pgsql-performance@postgresql.org
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Joe,
> If that's the case, can you split the work up into multiple
> functions, and execute them all from a shell script? Or perhaps even
> offload some of the data massaging to perl or something? (It would be
> easier to recommend alternate approaches with more details.)
I've already split it up into 11 functions, which are being managed
through Perl with ANALYZE statements between. Breaking it down
further would be really unmanageable.
Not to be mean or anything (after all, I just joined pgsql-advocacy),
I'm getting *much* worse performance on large data transformations from
PostgreSQL 7.2.1, than I get from SQL Server 7.0 on inferior hardware
(at least, except where SQL Server 7.0 crashes). I really am determined
to prove that it's because I've misconfigured it, and I thank all of
you for your help in doing so.
PGBench Results:
transaction type: TPC-B (sort of)
scaling factor: 10
number of clients: 100
number of transactions per client: 10
number of transactions actually processed: 1000/1000
tps = 93.206356(including connections establishing)
tps = 103.237007(excluding connections establishing)
Of course, I don't have much to compare these to, so I don't know if
that's good or bad.
-Josh Berkus
From pgsql-general-owner@postgresql.org Wed Oct 9 03:57:38 2002
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Subject: Re: Large databases, performance
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On Mon, 07 Oct 2002 15:07:29 +0530, "Shridhar Daithankar"
<shridhar_daithankar@persistent.co.in> wrote:
>Only worry is database size. Postgresql is 111GB v/s 87 GB for mysql.
Shridhar,
here is an implementation of a set of user types: char3, char4,
char10. Put the attached files into a new directory contrib/fixchar,
make, make install, and run fixchar.sql through psql. Then create
your table as
CREATE TABLE tbl (
type int,
esn char10,
min char10,
datetime timestamp,
opc0 char3,
...
rest char4,
field0 int,
field1 char4,
...
)
This should save 76 bytes per heap tuple and 12 bytes per index tuple,
giving a database size of ~ 76 GB. I'd be very interested how this
affects performance.
Code has been tested for v7.2, it crashes on v7.3 beta 1. If this is
a problem, let me know.
Servus
Manfred
----=_3go7qusj2mfc5mqkb950rta73h7v8jn4qv.MFSBCHJLHS
Content-Type: text/plain; charset=us-ascii; name=fixcharNN.sql.in
Content-Transfer-Encoding: 7bit
Content-Disposition: attachment; filename=fixcharNN.sql.in
-- User type charNN: space saving replacement for char(NN)
CREATE FUNCTION charNN_in(opaque)
RETURNS charNN
AS '$libdir/fixchar'
LANGUAGE 'c';
CREATE FUNCTION charNN_out(opaque)
RETURNS opaque
AS '$libdir/fixchar'
LANGUAGE 'c';
CREATE TYPE charNN (
INPUT = charNN_in,
OUTPUT = charNN_out,
INTERNALLENGTH = NN,
ALIGNMENT = char
);
-- Operators
CREATE FUNCTION charNN_lt(charNN, charNN)
RETURNS boolean
AS '$libdir/fixchar'
LANGUAGE 'c';
CREATE FUNCTION charNN_le(charNN, charNN)
RETURNS boolean
AS '$libdir/fixchar'
LANGUAGE 'c';
CREATE FUNCTION charNN_eq(charNN, charNN)
RETURNS boolean
AS '$libdir/fixchar'
LANGUAGE 'c';
CREATE FUNCTION charNN_ge(charNN, charNN)
RETURNS boolean
AS '$libdir/fixchar'
LANGUAGE 'c';
CREATE FUNCTION charNN_gt(charNN, charNN)
RETURNS boolean
AS '$libdir/fixchar'
LANGUAGE 'c';
CREATE FUNCTION charNN_ne(charNN, charNN)
RETURNS boolean
AS '$libdir/fixchar'
LANGUAGE 'c';
CREATE OPERATOR < ( LEFTARG = charNN, RIGHTARG = charNN,
PROCEDURE = charNN_lt,
COMMUTATOR = >,
NEGATOR = >=,
RESTRICT = scalarltsel, JOIN = scalarltjoinsel
);
CREATE OPERATOR <= ( LEFTARG = charNN, RIGHTARG = charNN,
PROCEDURE = charNN_le,
COMMUTATOR = >=,
NEGATOR = >,
RESTRICT = scalarltsel, JOIN = scalarltjoinsel
);
CREATE OPERATOR = ( LEFTARG = charNN, RIGHTARG = charNN,
PROCEDURE = charNN_eq,
COMMUTATOR = =,
NEGATOR = !=,
RESTRICT = eqsel, JOIN = eqjoinsel
);
CREATE OPERATOR >= ( LEFTARG = charNN, RIGHTARG = charNN,
PROCEDURE = charNN_ge,
COMMUTATOR = <=,
NEGATOR = <,
RESTRICT = scalargtsel, JOIN = scalargtjoinsel
);
CREATE OPERATOR > ( LEFTARG = charNN, RIGHTARG = charNN,
PROCEDURE = charNN_gt,
COMMUTATOR = <,
NEGATOR = <=,
RESTRICT = scalargtsel, JOIN = scalargtjoinsel
);
CREATE OPERATOR != ( LEFTARG = charNN, RIGHTARG = charNN,
PROCEDURE = charNN_ne,
COMMUTATOR = !=,
NEGATOR = =,
RESTRICT = neqsel, JOIN = neqjoinsel
);
-- btree opclass
INSERT INTO pg_opclass (opcamid, opcname, opcintype, opcdefault, opckeytype)
SELECT a.oid, 'charNN_ops', t.oid, true, 0
FROM pg_am a, pg_type t
WHERE a.amname = 'btree'
AND t.typname = 'charNN';
--btree strategies
CREATE TEMP TABLE charNN_strat (
strat smallint,
opr name
);
INSERT INTO charNN_strat VALUES (1, '<');
INSERT INTO charNN_strat VALUES (2, '<=');
INSERT INTO charNN_strat VALUES (3, '=');
INSERT INTO charNN_strat VALUES (4, '>=');
INSERT INTO charNN_strat VALUES (5, '>');
SELECT o.oid AS opoid, s.strat
INTO TEMP TABLE charNN_ops_tmp
FROM pg_operator o, pg_type t, charNN_strat s
WHERE t.typname = 'charNN'
AND o.oprleft = t.oid
AND o.oprright = t.oid
AND o.oprname = s.opr;
INSERT INTO pg_amop (amopclaid, amopstrategy, amopreqcheck, amopopr)
SELECT oc.oid, c.strat, false, c.opoid
FROM pg_opclass oc, charNN_ops_tmp c, pg_am a
WHERE opcamid = a.oid
AND opcname = 'charNN_ops'
AND a.amname = 'btree';
-- support routine
CREATE FUNCTION charNN_cmp(charNN, charNN)
RETURNS integer
AS '$libdir/fixchar'
LANGUAGE 'c';
INSERT INTO pg_amproc (amopclaid, amprocnum, amproc)
SELECT oc.oid, 1, p.oid
FROM pg_opclass oc, pg_proc p, pg_am a
WHERE a.amname = 'btree'
AND oc.opcamid = a.oid
AND oc.opcname = 'charNN_ops'
AND p.proname = 'charNN_cmp';
----=_3go7qusj2mfc5mqkb950rta73h7v8jn4qv.MFSBCHJLHS
Content-Type: text/plain; charset=us-ascii; name=Makefile
Content-Transfer-Encoding: 7bit
Content-Disposition: attachment; filename=Makefile
# fixchar Makefile
#
# Experimental code! Use at your own risk!
# 2002-10-08 mk
subdir = contrib/fixchar
top_builddir = ../..
include $(top_builddir)/src/Makefile.global
MODULE_big = fixchar
OBJS = char3.o char4.o char10.o
DATA_built = fixchar.sql
DOCS = README.fixchar
char%.c: fixcharNN.c.in
sed -e 's/NN/$*/g' $< >$@
fixchar.sql: char3.sql char4.sql char10.sql
cat $^ >$@
char%.sql: fixcharNN.sql.in
sed -e 's/NN/$*/g' $< >$@
include $(top_srcdir)/contrib/contrib-global.mk
----=_3go7qusj2mfc5mqkb950rta73h7v8jn4qv.MFSBCHJLHS
Content-Type: text/plain; charset=us-ascii; name=fixcharNN.c.in
Content-Transfer-Encoding: 7bit
Content-Disposition: attachment; filename=fixcharNN.c.in
#include "postgres.h"
char *charNN_in(char *cstr);
char *charNN_out(char *sstr);
bool charNN_lt(char *a, char *b);
bool charNN_le(char *a, char *b);
bool charNN_eq(char *a, char *b);
bool charNN_ge(char *a, char *b);
bool charNN_gt(char *a, char *b);
bool charNN_ne(char *a, char *b);
int4 charNN_cmp(char *a, char *b);
char *
charNN_in(char *cstr)
{
char *result;
int len;
int i;
len = strlen(cstr);
if (len > NN)
len = NN;
result = (char *) palloc(NN);
for (i = 0; i < len; ++i)
result[i] = cstr[i];
for (; i < NN; ++i)
result[i] = ' ';
return result;
}/*charNN_in*/
char *
charNN_out(char *sstr)
{
char *result;
int i;
if (sstr == NULL)
return NULL;
result = (char *) palloc(NN + 1);
for (i = 0; i < NN; ++i)
result[i] = sstr[i];
result[NN] = '\0';
return result;
}/*charNN_out*/
bool
charNN_lt(char *a, char *b)
{
return (strncmp(a, b, NN) < 0);
}/*charNN_lt*/
bool
charNN_le(char *a, char *b)
{
return (strncmp(a, b, NN) <= 0);
}/*charNN_le*/
bool
charNN_eq(char *a, char *b)
{
return (strncmp(a, b, NN) == 0);
}/*charNN_eq*/
bool
charNN_ge(char *a, char *b)
{
return (strncmp(a, b, NN) >= 0);
}/*charNN_ge*/
bool
charNN_gt(char *a, char *b)
{
return (strncmp(a, b, NN) > 0);
}/*charNN_gt*/
bool
charNN_ne(char *a, char *b)
{
return (strncmp(a, b, NN) != 0);
}/*charNN_ne*/
int4
charNN_cmp(char *a, char *b)
{
return strncmp(a, b, NN);
}/*charNN_cmp*/
----=_3go7qusj2mfc5mqkb950rta73h7v8jn4qv.MFSBCHJLHS
Content-Type: text/plain; charset=us-ascii; name=README.fixchar
Content-Transfer-Encoding: 7bit
Content-Disposition: attachment; filename=README.fixchar
fixchar
=======
User data types char3, char4 and char10 as space saving replacements
for char(3), char(4), and char(10) respectively.
This is an experimental implementation for Shridhar's high volume
performance tests. It is not expected to be usable in any real world
application. Known problems are at least:
. There are no casting functions
. This does not work with multibyte character sets
Use at your own risk!
I N S T A L L
=============
. Put these files into contrib/fixchar
. cd to contrib/fixchar
. make
. make install
. cd to the directory where PG is installed
. bin/psql yourdb
yourdb=# \i share/postgresql/contrib/fixchar.sql
T E S T
=======
CREATE TABLE short (
i INT,
c3 char3,
c4 char4,
c10 char10,
primary key (i, c3)
);
CREATE TABLE long (
i INT,
c3 char(3),
c4 char(4),
c10 char(10),
primary key (i, c3)
);
INSERT INTO short VALUES (1, 'aaa', 'aaaa', 'a');
INSERT INTO long VALUES (1, 'aaa', 'aaaa', 'a');
INSERT INTO short SELECT i+1, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+1, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+2, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+2, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+4, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+4, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+8, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+8, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+16, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+16, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+32, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+32, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+64, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+64, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+128, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+128, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+256, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+256, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+512, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+512, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+1024, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+1024, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+2048, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+2048, c3, c4, c10 FROM long;
INSERT INTO short SELECT i+4096, c3, c4, c10 FROM short;
INSERT INTO long SELECT i+4096, c3, c4, c10 FROM long;
VACUUM VERBOSE ANALYZE short;
VACUUM VERBOSE ANALYZE long;
SELECT relname,reltuples,relpages FROM pg_class WHERE relname NOT LIKE 'pg%';
relname | reltuples | relpages
------------+-----------+----------
short_pkey | 8192 | 33
short | 8192 | 57
long_pkey | 8192 | 39
long | 8192 | 69
(4 rows)
(2002-10-08 mk)
----=_3go7qusj2mfc5mqkb950rta73h7v8jn4qv.MFSBCHJLHS--
From pgsql-general-owner@postgresql.org Wed Oct 9 04:06:49 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: Manfred Koizar <mkoi-pg@aon.at>, pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Date: Wed, 09 Oct 2002 13:37:13 +0530
MIME-Version: 1.0
Subject: Re: Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
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On 9 Oct 2002 at 10:00, Manfred Koizar wrote:
> On Mon, 07 Oct 2002 15:07:29 +0530, "Shridhar Daithankar"
> <shridhar_daithankar@persistent.co.in> wrote:
> >Only worry is database size. Postgresql is 111GB v/s 87 GB for mysql.
>
> Shridhar,
>
> here is an implementation of a set of user types: char3, char4,
> char10. Put the attached files into a new directory contrib/fixchar,
> make, make install, and run fixchar.sql through psql. Then create
> your table as
> CREATE TABLE tbl (
> type int,
> esn char10,
> min char10,
> datetime timestamp,
> opc0 char3,
> ...
> rest char4,
> field0 int,
> field1 char4,
> ...
> )
>
> This should save 76 bytes per heap tuple and 12 bytes per index tuple,
> giving a database size of ~ 76 GB. I'd be very interested how this
> affects performance.
>
> Code has been tested for v7.2, it crashes on v7.3 beta 1. If this is
> a problem, let me know.
Thank you very much for this. I would certainly give it a try. Please be
patient as next test is scheuled on monday.
Bye
Shridhar
--
love, n.: When it's growing, you don't mind watering it with a few tears.
From pgsql-general-owner@postgresql.org Wed Oct 9 04:25:01 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: Manfred Koizar <mkoi-pg@aon.at>, pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Date: Wed, 09 Oct 2002 13:55:28 +0530
MIME-Version: 1.0
Subject: Re: Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
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On 9 Oct 2002 at 10:00, Manfred Koizar wrote:
> On Mon, 07 Oct 2002 15:07:29 +0530, "Shridhar Daithankar"
> <shridhar_daithankar@persistent.co.in> wrote:
> >Only worry is database size. Postgresql is 111GB v/s 87 GB for mysql.
>
> Shridhar,
>
> here is an implementation of a set of user types: char3, char4,
> char10. Put the attached files into a new directory contrib/fixchar,
> make, make install, and run fixchar.sql through psql. Then create
> your table as
I had a quick look in things. I think it's a great learning material for pg
internals..;-)
I have a suggestion. In README, it should be worth mentioning that, new types
can be added just by changin Makefile. e.g. Changing line
OBJS = char3.o char4.o char10.o
to
OBJS = char3.o char4.o char5.o char10.o
would add the datatype char5 as well.
Obviously this is for those who might not take efforts to read the source. (
Personally I wouldn't have, had it been part of entire postgres source dump.
Just would have done ./configure;make;make install)
Thanks for the solution. It wouldn't have occurred to me in ages to create a
type for this. I guess that's partly because never used postgresql beyond
select/insert/update/delete. Anyway should have been awake..
Thanks once again
Bye
Shridhar
--
But it's real. And if it's real it can be affected ... we may not be ableto
break it, but, I'll bet you credits to Navy Beans we can put a dent in it. --
deSalle, "Catspaw", stardate 3018.2
From pgsql-general-owner@postgresql.org Wed Oct 9 09:33:14 2002
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To: Manfred Koizar <mkoi-pg@aon.at>
Cc: shridhar_daithankar@persistent.co.in, pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
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Subject: Re: [pgsql-performance] Large databases, performance
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Comments: In-reply-to Manfred Koizar <mkoi-pg@aon.at>
message dated "Wed, 09 Oct 2002 10:00:03 +0200"
Date: Wed, 09 Oct 2002 09:32:50 -0400
Message-ID: <19697.1034170370@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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Manfred Koizar <mkoi-pg@aon.at> writes:
> here is an implementation of a set of user types: char3, char4,
> char10.
Coupla quick comments on these:
> CREATE FUNCTION charNN_lt(charNN, charNN)
> RETURNS boolean
> AS '$libdir/fixchar'
> LANGUAGE 'c';
> bool
> charNN_lt(char *a, char *b)
> {
> return (strncmp(a, b, NN) < 0);
> }/*charNN_lt*/
These functions are dangerous as written, because they will crash on
null inputs. I'd suggest marking them strict in the function
declarations. Some attention to volatility declarations (isCachable
or isImmutable) would be a good idea too.
Also, it'd be faster and more portable to write the functions with
version-1 calling conventions.
Using the Makefile to auto-create the differently sized versions is
a slick trick...
regards, tom lane
From pgsql-general-owner@postgresql.org Wed Oct 9 09:41:46 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Date: Wed, 09 Oct 2002 19:11:09 +0530
MIME-Version: 1.0
Subject: Re: [pgsql-performance] Large databases, performance
Reply-To: shridhar_daithankar@persistent.co.in
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On 9 Oct 2002 at 9:32, Tom Lane wrote:
> Manfred Koizar <mkoi-pg@aon.at> writes:
> > here is an implementation of a set of user types: char3, char4,
> > char10.
>
> Coupla quick comments on these:
>
> > CREATE FUNCTION charNN_lt(charNN, charNN)
> > RETURNS boolean
> > AS '$libdir/fixchar'
> > LANGUAGE 'c';
>
> > bool
> > charNN_lt(char *a, char *b)
> > {
> > return (strncmp(a, b, NN) < 0);
> > }/*charNN_lt*/
>
> These functions are dangerous as written, because they will crash on
> null inputs. I'd suggest marking them strict in the function
> declarations. Some attention to volatility declarations (isCachable
> or isImmutable) would be a good idea too.
Let me add something. Using char* is bad idea. I had faced a situation recently
on HP-UX 11 that with a libc patch, isspace collapsed for char>127. Fix was to
use unsigned char. There are other places also where the input character is
used as index to an array internally and can cause weird behaviour for values
>127
I will apply both the correction here. Will post the final stuff soon.
Bye
Shridhar
--
Hacker's Quicky #313: Sour Cream -n- Onion Potato Chips Microwave Egg Roll
Chocolate Milk
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Subject: Re: What does this tell me?
From: Robert Treat <xzilla@users.sourceforge.net>
To: Josh Berkus <josh@agliodbs.com>
Cc: Joe Conway <mail@joeconway.com>, Bruce Momjian <pgman@candle.pha.pa.us>,
Sean Chittenden <sean@chittenden.org>, pgsql-performance@postgresql.org
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On Wed, 2002-10-09 at 01:22, Josh Berkus wrote:
> Joe,
>
> > If that's the case, can you split the work up into multiple
> > functions, and execute them all from a shell script? Or perhaps even
> > offload some of the data massaging to perl or something? (It would be
> > easier to recommend alternate approaches with more details.)
>
> I've already split it up into 11 functions, which are being managed
> through Perl with ANALYZE statements between. Breaking it down
> further would be really unmanageable.
>
If I read Tom's suggestion correctly, you should probably change these
to vacuum analyze instead of analyze.
> Not to be mean or anything (after all, I just joined pgsql-advocacy),
> I'm getting *much* worse performance on large data transformations from
> PostgreSQL 7.2.1, than I get from SQL Server 7.0 on inferior hardware
> (at least, except where SQL Server 7.0 crashes).
what?? that's blasphamy!! revoke this mans advocacy membership right
now!! ;-)
I really am determined
> to prove that it's because I've misconfigured it, and I thank all of
> you for your help in doing so.
>
FWIW I just ran into a similar situation where I was doing 6
simultaneous pg_restores of our production database on my local
workstation. Apparently this pumps a lot of data through the wal logs.
I did kick up the number of wal files, but I also ended up kicking up
the number of wal_buffers as well and that seemed to help.
Robert Treat
From pgsql-general-owner@postgresql.org Wed Oct 9 12:57:16 2002
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From: "Jose Antonio Leo" <jaleo8@storelandia.com>
To: <pgsql-general@postgresql.org>, <pgsql-sql@postgresql.org>
Subject: problem with the Index
Date: Wed, 9 Oct 2002 18:56:41 +0200
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I have a problem with the index of 1 table.
I hava a table created :
CREATE TABLE "acucliart" (
"cod_pto" numeric(8,0) NOT NULL,
"cod_cli" varchar(9) NOT NULL,
"mes" numeric(2,0) NOT NULL,
"ano" numeric(4,0) NOT NULL,
"int_art" numeric(5,0) NOT NULL,
"cantidad" numeric(12,2),
"ven_siv_to" numeric(14,2),
"ven_civ_to" numeric(14,2),
"tic_siv_to" numeric(14,2),
"tic_civ_to" numeric(14,2),
"visitas" numeric(2,0),
"ult_vis" date,
"ven_cos" numeric(12,2),
"ven_ofe" numeric(12,2),
"cos_ofe" numeric(12,2),
CONSTRAINT "acucliart_pkey"
PRIMARY KEY ("cod_cli")
);
if i do this select:
explain select * from acucliart where cod_cli=10000;
postgres use the index
NOTICE: QUERY PLAN:
Index Scan using cod_cli_ukey on acucliart (cost=0.00..4.82 rows=1
width=478)
and this select
explain select * from acucliart where cod_cli>10000;
Postgres don't use the index:
NOTICE: QUERY PLAN:
Seq Scan on acucliart (cost=0.00..22.50 rows=333 width=478)
why?
tk
From pgsql-general-owner@postgresql.org Wed Oct 9 13:31:14 2002
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Date: Wed, 9 Oct 2002 10:31:12 -0700 (PDT)
From: Stephan Szabo <sszabo@megazone23.bigpanda.com>
To: Jose Antonio Leo <jaleo8@storelandia.com>
Cc: <pgsql-general@postgresql.org>, <pgsql-sql@postgresql.org>
Subject: Re: [SQL] problem with the Index
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On Wed, 9 Oct 2002, Jose Antonio Leo wrote:
> I have a problem with the index of 1 table.
>
> I hava a table created :
> CREATE TABLE "acucliart" (
> "cod_pto" numeric(8,0) NOT NULL,
> "cod_cli" varchar(9) NOT NULL,
> "mes" numeric(2,0) NOT NULL,
> "ano" numeric(4,0) NOT NULL,
> "int_art" numeric(5,0) NOT NULL,
> "cantidad" numeric(12,2),
> "ven_siv_to" numeric(14,2),
> "ven_civ_to" numeric(14,2),
> "tic_siv_to" numeric(14,2),
> "tic_civ_to" numeric(14,2),
> "visitas" numeric(2,0),
> "ult_vis" date,
> "ven_cos" numeric(12,2),
> "ven_ofe" numeric(12,2),
> "cos_ofe" numeric(12,2),
> CONSTRAINT "acucliart_pkey"
> PRIMARY KEY ("cod_cli")
> );
>
> if i do this select:
> explain select * from acucliart where cod_cli=10000;
> postgres use the index
> NOTICE: QUERY PLAN:
> Index Scan using cod_cli_ukey on acucliart (cost=0.00..4.82 rows=1
> width=478)
>
> and this select
> explain select * from acucliart where cod_cli>10000;
> Postgres don't use the index:
> NOTICE: QUERY PLAN:
> Seq Scan on acucliart (cost=0.00..22.50 rows=333 width=478)
>
> why?
Well, how many rows are in the table? In the first case it estimates 1
row will be returned, in the second 333. Index scans are not always faster
than sequential scans as the percentage of the table to scan becomes
larger. If you haven't analyzed recently, you probably should do so and
if you want to compare, set enable_seqscan=off and try an explain there
and see what it gives you.
Also, why are you comparing a varchar(9) column with an integer?
From pgsql-general-owner@postgresql.org Wed Oct 9 14:06:28 2002
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From: Manfred Koizar <mkoi-pg@aon.at>
To: Tom Lane <tgl@sss.pgh.pa.us>
Cc: shridhar_daithankar@persistent.co.in, pgsql-hackers@postgresql.org,
pgsql-general <pgsql-general@postgresql.org>,
pgsql-performance@postgresql.org
Subject: Re: [pgsql-performance] Large databases, performance
Date: Wed, 09 Oct 2002 20:09:03 +0200
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<3DA1A331.21316.F7E742B@localhost>
<a2n7qu0qen2ne1chalomdgt5n1etgb4uk3@4ax.com>
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On Wed, 09 Oct 2002 09:32:50 -0400, Tom Lane <tgl@sss.pgh.pa.us>
wrote:
>Coupla quick comments on these:
My first attempt on user types; thanks for the tips.
>These functions are dangerous as written, because they will crash on
>null inputs. I'd suggest marking them strict in the function
>declarations.
I was not aware of this, just wondered why bpchar routines didn't
crash :-) Fixed.
>Some attention to volatility declarations (isCachable
>or isImmutable) would be a good idea too.
>Also, it'd be faster and more portable to write the functions with
>version-1 calling conventions.
Done, too. In the meantime I've found out why it crashed with 7.3:
INSERT INTO pg_opclass is now obsolete, have to use CREATE OPERATOR
CLASS ...
Servus
Manfred
From pgsql-performance-owner@postgresql.org Wed Oct 9 15:32:31 2002
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subscribe pgsql-performance
From pgsql-performance-owner@postgresql.org Thu Oct 10 09:27:59 2002
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From: Manfred Koizar <mkoi-pg@aon.at>
To: shridhar_daithankar@persistent.co.in
Cc: pgsql-hackers@postgresql.org, pgsql-performance@postgresql.org
Subject: contrib/fixchar (Was: Large databases, performance)
Date: Thu, 10 Oct 2002 15:30:31 +0200
Message-ID: <aeuaqu8uk5qi6ledajbu8a0kqk2m2c6m3u@4ax.com>
References: <3D9C3E05.7070906@clearmetrix.com>
<3DA1A331.21316.F7E742B@localhost>
<a2n7qu0qen2ne1chalomdgt5n1etgb4uk3@4ax.com>
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On Wed, 09 Oct 2002 10:00:03 +0200, I wrote:
>here is an implementation of a set of user types: char3, char4,
>char10.
New version available. As I don't want to spam the list with various
versions until I get it right eventually, you can get it from
http://members.aon.at/pivot/pg/fixchar20021010.tgz if you are
interested.
What's new:
. README updated (per Shridhar's suggestion)
. doesn't crash on NULL (p. Tom)
. version-1 calling conventions (p. Tom)
. isCachable (p. Tom)
. works for 7.2 (as delivered) and for 7.3 (make for73)
Shridhar, you were concerned about signed/unsigned chars; looking at
the code I can not see how this is a problem. So no change in this
regard.
Thanks for your comments. Have fun!
Servus
Manfred
From pgsql-performance-owner@postgresql.org Thu Oct 10 09:48:43 2002
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-hackers@postgresql.org, pgsql-performance@postgresql.org
Date: Thu, 10 Oct 2002 19:19:11 +0530
MIME-Version: 1.0
Subject: Re: contrib/fixchar (Was: Large databases, performance)
Reply-To: shridhar_daithankar@persistent.co.in
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On 10 Oct 2002 at 15:30, Manfred Koizar wrote:
> On Wed, 09 Oct 2002 10:00:03 +0200, I wrote:
> >here is an implementation of a set of user types: char3, char4,
> >char10.
>
> New version available. As I don't want to spam the list with various
> versions until I get it right eventually, you can get it from
> http://members.aon.at/pivot/pg/fixchar20021010.tgz if you are
> interested.
>
> What's new:
>
> . README updated (per Shridhar's suggestion)
> . doesn't crash on NULL (p. Tom)
> . version-1 calling conventions (p. Tom)
> . isCachable (p. Tom)
> . works for 7.2 (as delivered) and for 7.3 (make for73)
>
> Shridhar, you were concerned about signed/unsigned chars; looking at
> the code I can not see how this is a problem. So no change in this
> regard.
Well, this is not related to postgresql exactly but to summerise the problem,
with libc patch PHCO_19090 or compatible upwards, on HP-UX11, isspace does not
work correctly if input value is >127. Can cause lot of problem for an external
app. It works fine with unsigned char
Does not make a difference from postgrersql point of view but would break non-
english locale if they want to use this fix under some situation.
But I agree, unless somebody reports it, no point fixing it and we know the fix
anyway..
Bye
Shridhar
--
Live long and prosper. -- Spock, "Amok Time", stardate 3372.7
From pgsql-performance-owner@postgresql.org Thu Oct 10 11:42:12 2002
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Date: Thu, 10 Oct 2002 16:41:43 +0100
From: Adam Witney <awitney@sghms.ac.uk>
To: pgsql-performance <pgsql-performance@postgresql.org>
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Subject: Info on explain output
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Hi,
I am trying to optimise a complex query adding explicit joins and creating
indices. I am going through the EXPLAIN output (~70 lines) but am fairly new
at reading these.
Are there any good rules of thumb of things one should be looking out for in
EXPLAIN output? ie <blah> means that an index would be good here etc
I have read through the docs for EXPLAIN, but I was wondering if there were
any more detailed descriptions or docs on the subject.
Thanks for any help
adam
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From pgsql-performance-owner@postgresql.org Thu Oct 10 12:44:12 2002
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Subject: Re: Info on explain output
In-Reply-To: <B9CB5E47.949D%a.witney@sghms.ac.uk>
To: Adam Witney <awitney@sghms.ac.uk>
Date: Thu, 10 Oct 2002 12:44:01 -0400 (EDT)
Cc: pgsql-performance <pgsql-performance@postgresql.org>
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Have you looked at the internals PDF at the bottom of the developers
lounge web page?
---------------------------------------------------------------------------
Adam Witney wrote:
> Hi,
>
> I am trying to optimise a complex query adding explicit joins and creating
> indices. I am going through the EXPLAIN output (~70 lines) but am fairly new
> at reading these.
>
> Are there any good rules of thumb of things one should be looking out for in
> EXPLAIN output? ie <blah> means that an index would be good here etc
>
> I have read through the docs for EXPLAIN, but I was wondering if there were
> any more detailed descriptions or docs on the subject.
>
> Thanks for any help
>
> adam
>
>
> --
> This message has been scanned for viruses and
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From pgsql-performance-owner@postgresql.org Thu Oct 10 12:59:20 2002
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: Info on explain output
To: Bruce Momjian <pgman@candle.pha.pa.us>, Adam Witney <awitney@sghms.ac.uk>
Cc: pgsql-performance <pgsql-performance@postgresql.org>
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Adam,
> > Are there any good rules of thumb of things one should be looking
> out for in
> > EXPLAIN output? ie <blah> means that an index would be good here
> etc
Also try:
1) Various articles on Techdocs.postgresql.org
2) Ewald G.'s PostgreSQL Book
Explain output is not that easily converted into a plan of action ...
otherwise, Postgres would have automated it, neh? You have to get a
feel for what looks good and bad dynamically.
-Josh Berkus
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From: Mario Weilguni <mweilguni@sime.com>
To: pgsql-performance@postgresql.org
Subject: number of attributes in page files?
Date: Fri, 11 Oct 2002 09:14:50 +0200
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Is it possible to get rid of the "t_natts" fields in the tuple header? Is t=
his field only for "alter table add/drop" support? Then it might
possible to get rid of it and put the "t_natts" field in the page header, n=
ot the tuple header, if it can be assured that when updating/inserting
records only a compatible (a page file with the same number of attributes) =
page file is used. Especially master-detail tables would=20
profit from this, reducing the tuple overhead by another 9%.
Might this be possible?
Regards,
Mario Weilguni
From pgsql-performance-owner@postgresql.org Fri Oct 11 04:43:59 2002
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From: Mario Weilguni <mweilguni@sime.com>
To: pgsql-performance@postgresql.org
Subject: Compile test with gcc 3.2
Date: Fri, 11 Oct 2002 10:44:03 +0200
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If you want to get the max (CPU) performance and use gcc, you should give t=
he -fprofile-arcs / -fbranch-probabilties options of gcc 3.2 a try.=20
For 50 pgbench read-only runs (1 mio tuples, 40000 txs, 10 clients) I get 1=
4.4% speedup.=20
Then I tried it with real data from our production system.
This is 2GB data, 120 tables, but most of the data is large object data (1.=
8GB), so most tables of the database are in-memory and the application is =
more cpu bound.
With this scenario, I still get 8% improvement.=20
All tests done on an Athlon XP/1500, 768MB RAM, Linux 2.4.19, gcc 3.2, 5400=
RPM Maxtor.
Might be worth a try. Probably the performance win will be smaller for larg=
er databases.
Regards,
Mario Weilguni
From pgsql-performance-owner@postgresql.org Fri Oct 11 08:12:54 2002
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To: Mario Weilguni <mweilguni@sime.com>
Cc: pgsql-performance@postgresql.org, pgsql-hackers@postgresql.org
Subject: Re: [HACKERS] number of attributes in page files?
In-reply-to: <200210110914.50377.mweilguni@sime.com>
References: <200210110914.50377.mweilguni@sime.com>
Comments: In-reply-to Mario Weilguni <mweilguni@sime.com>
message dated "Fri, 11 Oct 2002 09:14:50 +0200"
Date: Fri, 11 Oct 2002 08:12:50 -0400
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From: Tom Lane <tgl@sss.pgh.pa.us>
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Mario Weilguni <mweilguni@sime.com> writes:
> Is it possible to get rid of the "t_natts" fields in the tuple header?
> Is this field only for "alter table add/drop" support?
"Only"? A lot of people consider that pretty important ...
But removing 2 bytes isn't going to save anything, on most machines,
because of alignment considerations.
regards, tom lane
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From: Mario Weilguni <mweilguni@sime.com>
To: Tom Lane <tgl@sss.pgh.pa.us>
Subject: Re: [HACKERS] number of attributes in page files?
Date: Fri, 11 Oct 2002 16:00:13 +0200
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References: <200210110914.50377.mweilguni@sime.com>
<4295.1034338370@sss.pgh.pa.us>
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Am Freitag, 11. Oktober 2002 14:12 schrieb Tom Lane:
> Mario Weilguni <mweilguni@sime.com> writes:
> > Is it possible to get rid of the "t_natts" fields in the tuple header?
> > Is this field only for "alter table add/drop" support?
>
> "Only"? A lot of people consider that pretty important ...
With "only" I mean it's an administrative task which requires operator inte=
rvenation anyways, and it's a seldom needed operation which may take longer=
, when
queries become faster.
>
> But removing 2 bytes isn't going to save anything, on most machines,
> because of alignment considerations.
ok, I did not consider alignment, but the question remains, is this easily =
doable? Especially because only one another byte has to be saved for
real saving on many architectures, which is t_hoff. IMO t_hoff is not usefu=
l because it can be computed easily. This would give 20 byte headers instea=
d of 23 (24) bytes as it's now.=20
This is 17% saved, and if it's not too complicated it might be worth to con=
sider.
Best regards,
Mario Weilguni
From pgsql-performance-owner@postgresql.org Fri Oct 11 10:34:56 2002
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Date: Fri, 11 Oct 2002 07:34:58 -0700 (PDT)
From: Ludwig Lim <lud_nowhere_man@yahoo.com>
Subject: Re: Compile test with gcc 3.2
To: Mario Weilguni <mweilguni@sime.com>
Cc: PostgreSQL Mailing List <pgsql-performance@postgresql.org>
In-Reply-To: <200210111044.03361.mweilguni@sime.com>
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Hi Mario:
--- Mario Weilguni <mweilguni@sime.com> wrote:
> If you want to get the max (CPU) performance and use
> gcc, you should give the -fprofile-arcs /
> -fbranch-probabilties options of gcc 3.2 a try.
> For 50 pgbench read-only runs (1 mio tuples, 40000
> txs, 10 clients) I get 14.4% speedup.
>
> Then I tried it with real data from our production
> system.
> This is 2GB data, 120 tables, but most of the data
> is large object data (1.8GB), so most tables of the
> database are in-memory and the application is more
> cpu bound.
> With this scenario, I still get 8% improvement.
>
> All tests done on an Athlon XP/1500, 768MB RAM,
> Linux 2.4.19, gcc 3.2, 5400 RPM Maxtor.
>
> Might be worth a try. Probably the performance win
> will be smaller for larger databases.
- Do you use the "-fprofile-arcs
-fbranch-probabilties" options with other optimization
flags? I've in a book (Optimimizing Red Hat Linux 6.2)
that one could also optimize speed by setting the
CFLAGS to the following :
" -02 -fomit-frame-pointers -funroll-loops" and
running "strip" on the on binaries after they are
compiled.
regards,
ludwig.
__________________________________________________
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From pgsql-performance-owner@postgresql.org Fri Oct 11 12:01:40 2002
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Reply-To: "Waruna Geekiyanage" <waruna@nirmani.com>
From: "Waruna Geekiyanage" <waruna@nirmani.com>
To: <pgsql-php@postgresql.org>
Cc: <pgsql-performance@postgresql.org>
Subject: syncronize databases
Date: Fri, 11 Oct 2002 22:02:31 +0600
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I need to syncronize two pgsql databases runing on RedHat linux7.2.
One is on our LAN and other one on the internet which we connect through a =
dialup connection.
Waruna
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<DIV><FONT face=3DArial size=3D2>I need to syncronize two pgsql databases r=
uning on=20
RedHat linux7.2.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>One is on our LAN and other one on the int=
ernet=20
which we connect through a dialup connection.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT>&nbsp;</DIV>
<DIV><FONT face=3DArial size=3D2>Waruna</FONT></DIV></BODY></HTML>
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From pgsql-performance-owner@postgresql.org Fri Oct 11 15:23:56 2002
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From: Vincent Janelle <random@goblinstudios.com>
To: Ludwig Lim <lud_nowhere_man@yahoo.com>
Cc: mweilguni@sime.com, pgsql-performance@postgresql.org
Subject: Re: Compile test with gcc 3.2
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except when you run the regression tests you get some very interesting results.
On Fri, 11 Oct 2002 07:34:58 -0700 (PDT)
Ludwig Lim <lud_nowhere_man@yahoo.com> wrote:
>
> - Do you use the "-fprofile-arcs
> -fbranch-probabilties" options with other optimization
> flags? I've in a book (Optimimizing Red Hat Linux 6.2)
> that one could also optimize speed by setting the
> CFLAGS to the following :
> " -02 -fomit-frame-pointers -funroll-loops" and
> running "strip" on the on binaries after they are
> compiled.
>
From pgsql-performance-owner@postgresql.org Wed Oct 16 14:02:25 2002
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From: Josh Berkus <josh@agliodbs.com>
Reply-To: josh@agliodbs.com
Organization: Aglio Database Solutions
To: pgsql-performance@postgresql.org
Subject: PG_Autotune 0.1
Date: Tue, 15 Oct 2002 11:00:58 -0700
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Folks, Justin,
Hey, I've been tinkering with PG_autotune in an effort to make it usable on=
my=20
installation.=20=20=20
http://gborg.postgresql.org/project/pgautotune/projdisplay.php
First off, thank you Justin for getting inspired and writing the starter=20
version. This is something that would probably have remained *way* down t=
he=20
Postgres TODO list, were it not for you.=20
Since it's such a great idea, I'd like to make it bulletproof so that it ca=
n=20
become part of the standard Postgres distribution. I'm hoping that people=
=20
on this list can help.
Problems, Bugs, & Suggestions:
1) The program makes the assumption that the Postgres superuser is named=20
"pgsql", forcing me to do a search-and-replace on the source to make it wor=
k=20
at all on my system, where the superuser is named "postgres". This should=
=20
be a configuration option. Places I've identified where this is an issue:=
=20=20
a. the connection to the "metrics" database, b. the calls to Postgres=20
executables (which are also sometimes made as the console user, causing the=
m=20
to fail if you run the program as "root").
2) The program also assumes that all Postgres binaries are symlinked in=20
/usr/local/bin. Since this symlinking isn't done by Postgres-make-instal=
l,=20
wouldn't it be better to reference $PGHOME/bin?=20=20=20
3) For that matter, it would be nice if the program would test $PGDATA and=
=20
$PGHOME, and prompt the user if they are empty.
4) The shell scripts need to have error-checking so that they exit if anyth=
ing=20
blows up. I can write this if Justin can explain what the shell scripts a=
re=20
supposed to do, exactly, and where errors are acceptable.
5) We need installation docs. I can write these. Sometime soon, really!
Questions & Suggestions for Enhancement:
6) The shared_buffers param is capped at 500. Isn't this awfully low for a=
=20
production server? What's the logic here?
7) Any ideas on how to get around/adjust memory maximums for the host OS?=
=20=20
This is easy on Linux, but other *nixes are not so easy.
8) What will be the difficulties in expanding the script to adjust more=20
Postgresql.conf params, such as checkpoint_segments? Can we use feedback=
=20
from the log to adjust these?
9) I *love* the idea of letting the benchmarking script run custom queries.=
=20=20=20
However, I would dearly like to expand it, letting it randomly grab from a=
=20
list of 10 custom queries entered by the user into a file or files. This=
=20
would allow the user to create a realistic mix of simple and complex querie=
s,=20
including some data manipulation and procedures.
10) Can we eventually adjust the program to get feedback from system tools =
and=20
give the user hints on hardware limitations? For example, have the program=
=20
test if, at maximum settings, queries are slow but CPU and RAM are only 10%=
=20
utilized and tell the user "Your hard drives are probably too slow"?
I can help with: documentation, shell scripting, Linux system issues. Oth=
er=20
volunteers to help?
--=20
-Josh Berkus
Aglio Database Solutions
San Francisco
From pgsql-performance-owner@postgresql.org Thu Oct 17 10:44:57 2002
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From: "Chad Thompson" <chad@weblinkservices.com>
To: "pgsql-performance" <pgsql-performance@postgresql.org>
Subject: Max time queries
Date: Thu, 17 Oct 2002 08:45:07 -0600
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Heres an oddity. Why would it take more time to not find an answer than it=
would to find one?=20=20
Here are my 2 queries.
The Cold Fusion output of the query is followed by an explain analyze.
maxTime (Records=3D0, Time=3D2223ms)
SQL =3D=20
select cr.start_time as max
from call_results cr, timezone tz, lists l
where (cr.start_time between '10/15/2002 08:00' and '10/15/2002 23:00')
and l.full_phone =3D cr.phonenum
and l.area_code =3D tz.area_code
and tz.greenwich =3D '-7'
and cr.project_id =3D 11
and l.client_id =3D 8=20
order by cr.start_time desc
limit 1
NOTICE: QUERY PLAN:
Limit (cost=3D0.00..1544.78 rows=3D1 width=3D49) (actual time=3D2299.11..2=
299.11 rows=3D0 loops=3D1)
-> Nested Loop (cost=3D0.00..1266550.38 rows=3D820 width=3D49) (actual =
time=3D2299.10..2299.10 rows=3D0 loops=3D1)
-> Nested Loop (cost=3D0.00..776978.04 rows=3D90825 width=3D42) (=
actual time=3D0.84..1849.97 rows=3D9939 loops=3D1)
-> Index Scan Backward using start_time_idx on call_results =
cr (cost=3D0.00..6569.39 rows=3D6693 width=3D22) (actual time=3D0.38..303.=
58 rows=3D9043 loops=3D1)
-> Index Scan using full_phone_idx on lists l (cost=3D0.00.=
.114.94 rows=3D14 width=3D20) (actual time=3D0.15..0.16 rows=3D1 loops=3D90=
43)
-> Index Scan using area_code_idx on timezone tz (cost=3D0.00..5.=
38 rows=3D1 width=3D7) (actual time=3D0.04..0.04 rows=3D0 loops=3D9939)
Total runtime: 2300.55 msec
maxTime (Records=3D1, Time=3D10ms)
SQL =3D=20
select cr.start_time as max
from call_results cr, timezone tz, lists l
where (cr.start_time between '10/15/2002 08:00' and '10/15/2002 23:00')
and l.full_phone =3D cr.phonenum
and l.area_code =3D tz.area_code
and tz.greenwich =3D '-8'
and cr.project_id =3D 11
and l.client_id =3D 8=20
order by cr.start_time desc
limit 1
NOTICE: QUERY PLAN:
Limit (cost=3D0.00..331.03 rows=3D1 width=3D49) (actual time=3D1.19..1.53 =
rows=3D1 loops=3D1)
-> Nested Loop (cost=3D0.00..1266550.38 rows=3D3826 width=3D49) (actual=
time=3D1.19..1.52 rows=3D2 loops=3D1)
-> Nested Loop (cost=3D0.00..776978.04 rows=3D90825 width=3D42) (=
actual time=3D0.84..1.10 rows=3D2 loops=3D1)
-> Index Scan Backward using start_time_idx on call_results =
cr (cost=3D0.00..6569.39 rows=3D6693 width=3D22) (actual time=3D0.39..0.48=
rows=3D2 loops=3D1)
-> Index Scan using full_phone_idx on lists l (cost=3D0.00.=
.114.94 rows=3D14 width=3D20) (actual time=3D0.30..0.30 rows=3D1 loops=3D2)
-> Index Scan using area_code_idx on timezone tz (cost=3D0.00..5.=
38 rows=3D1 width=3D7) (actual time=3D0.19..0.20 rows=3D1 loops=3D2)
Total runtime: 1.74 msec
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charset="iso-8859-1"
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD>
<META http-equiv=3DContent-Type content=3D"text/html; charset=3Diso-8859-1">
<META content=3D"MSHTML 6.00.2719.2200" name=3DGENERATOR>
<STYLE></STYLE>
</HEAD>
<BODY bgColor=3D#ffffff>
<DIV>Heres an oddity.&nbsp; Why would it take more time to not find an answ=
er=20
than it would to find one?&nbsp; </DIV>
<DIV><FONT face=3DArial size=3D2>Here are my 2 queries.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2>The Cold Fusion output of the query is fol=
lowed by=20
an explain analyze.</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT>&nbsp;</DIV>
<DIV><STRONG>maxTime</STRONG> (Records=3D0, Time=3D2223ms)<BR>SQL =3D <BR>s=
elect=20
cr.start_time as max<BR> from call_results cr, timezone tz, lists=20
l<BR> where (cr.start_time between '10/15/2002 08:00' and '10/15/2002=20
23:00')<BR> and l.full_phone =3D cr.phonenum<BR> and l.area_code =3D=
=20
tz.area_code<BR> and tz.greenwich =3D '-7'<BR> and cr.project_id =3D=
=20
11<BR> and l.client_id =3D 8 <BR> order by cr.start_time desc<BR> =
limit=20
1</DIV>
<DIV>&nbsp;</DIV>
<DIV><FONT face=3DArial size=3D2>NOTICE:&nbsp; QUERY PLAN:</FONT></DIV>
<DIV>&nbsp;</DIV>
<DIV><FONT face=3DArial size=3D2>Limit&nbsp; (cost=3D0.00..1544.78 rows=3D1=
width=3D49)=20
(actual time=3D2299.11..2299.11 rows=3D0 loops=3D1)<BR>&nbsp; -&gt;&nbsp; N=
ested=20
Loop&nbsp; (cost=3D0.00..1266550.38 rows=3D820 width=3D49) (actual=20
time=3D2299.10..2299.10 rows=3D0=20
loops=3D1)<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; -&gt;&nbsp; Nested=
=20
Loop&nbsp; (cost=3D0.00..776978.04 rows=3D90825 width=3D42) (actual time=3D=
0.84..1849.97=20
rows=3D9939=20
loops=3D1)<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;=20
-&gt;&nbsp; Index Scan Backward using start_time_idx on call_results cr&nbs=
p;=20
(cost=3D0.00..6569.39 rows=3D6693 width=3D22) (actual time=3D0.38..303.58 r=
ows=3D9043=20
loops=3D1)<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;=20
-&gt;&nbsp; Index Scan using full_phone_idx on lists l&nbsp; (cost=3D0.00..=
114.94=20
rows=3D14 width=3D20) (actual time=3D0.15..0.16 rows=3D1=20
loops=3D9043)<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; -&gt;&nbsp; Ind=
ex Scan=20
using area_code_idx on timezone tz&nbsp; (cost=3D0.00..5.38 rows=3D1 width=
=3D7)=20
(actual time=3D0.04..0.04 rows=3D0 loops=3D9939)<BR>Total runtime: 2300.55=
=20
msec<BR></FONT></DIV>
<DIV><BR><STRONG>maxTime</STRONG> (Records=3D1, Time=3D10ms)<BR>SQL =3D <BR=
>select=20
cr.start_time as max<BR> from call_results cr, timezone tz, lists=20
l<BR> where (cr.start_time between '10/15/2002 08:00' and '10/15/2002=20
23:00')<BR> and l.full_phone =3D cr.phonenum<BR> and l.area_code =3D=
=20
tz.area_code<BR> and tz.greenwich =3D '-8'<BR> and cr.project_id =3D=
=20
11<BR> and l.client_id =3D 8 <BR> order by cr.start_time desc<BR> =
limit=20
1<BR>&nbsp;NOTICE:&nbsp; QUERY PLAN:</DIV>
<DIV>&nbsp;</DIV>
<DIV>Limit&nbsp; (cost=3D0.00..331.03 rows=3D1 width=3D49) (actual time=3D1=
.19..1.53=20
rows=3D1 loops=3D1)<BR>&nbsp; -&gt;&nbsp; Nested Loop&nbsp; (cost=3D0.00..1=
266550.38=20
rows=3D3826 width=3D49) (actual time=3D1.19..1.52 rows=3D2=20
loops=3D1)<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; -&gt;&nbsp; Nested=
=20
Loop&nbsp; (cost=3D0.00..776978.04 rows=3D90825 width=3D42) (actual time=3D=
0.84..1.10=20
rows=3D2=20
loops=3D1)<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;=20
-&gt;&nbsp; Index Scan Backward using start_time_idx on call_results cr&nbs=
p;=20
(cost=3D0.00..6569.39 rows=3D6693 width=3D22) (actual time=3D0.39..0.48 row=
s=3D2=20
loops=3D1)<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&=
nbsp;&nbsp;&nbsp;=20
-&gt;&nbsp; Index Scan using full_phone_idx on lists l&nbsp; (cost=3D0.00..=
114.94=20
rows=3D14 width=3D20) (actual time=3D0.30..0.30 rows=3D1=20
loops=3D2)<BR>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; -&gt;&nbsp; Index =
Scan=20
using area_code_idx on timezone tz&nbsp; (cost=3D0.00..5.38 rows=3D1 width=
=3D7)=20
(actual time=3D0.19..0.20 rows=3D1 loops=3D2)<BR>Total runtime: 1.74=20
msec<BR></DIV></BODY></HTML>
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From pgsql-performance-owner@postgresql.org Thu Oct 17 21:37:25 2002
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To: "Chad Thompson" <chad@weblinkservices.com>
Cc: "pgsql-performance" <pgsql-performance@postgresql.org>
Subject: Re: Max time queries
In-reply-to: <068c01c275eb$c9ba4f70$32021aac@chad>
References: <068c01c275eb$c9ba4f70$32021aac@chad>
Comments: In-reply-to "Chad Thompson" <chad@weblinkservices.com>
message dated "Thu, 17 Oct 2002 08:45:07 -0600"
Date: Thu, 17 Oct 2002 21:37:27 -0400
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From: Tom Lane <tgl@sss.pgh.pa.us>
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"Chad Thompson" <chad@weblinkservices.com> writes:
> Heres an oddity. Why would it take more time to not find an answer than it
> would to find one?
Because the successful query stops as soon as it's exhausted the LIMIT
(ie, after it's found the first matching combination of rows). The
failing query has to run through the whole tables looking in vain for
a match. Note the difference in number of rows scanned in the lower
levels of your query.
regards, tom lane
From pgsql-performance-owner@postgresql.org Mon Oct 21 02:23:35 2002
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From: Mario Weilguni <mweilguni@sime.com>
To: pgsql-performance@postgresql.org
Subject: Self-generating statistics?
Date: Mon, 21 Oct 2002 08:23:33 +0200
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Something that might be worth considering:
Many of the performance problems on pgsql-general seem to be related to the=
fact that no analyze is performed after the creation on the tables, so
maybe this might be an option to fix that (in future releases): when a tabl=
e has no statistics at all, and the first seq-scan on the table is
performed, it might improve further performance if this seq-scan is used to=
get table statistics too. This should not be too expensive since reading t=
he
table has to be done only once. Further queries will have at least prelimin=
ary statistics at hand.
I'm not sure how (CPU) expensive statistic-gathering is, but if most of the=
work is reading the tuples, it might be a win to do this.
Regards,
Mario Weilguni
From pgsql-performance-owner@postgresql.org Mon Oct 21 03:05:00 2002
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Mon, 21 Oct 2002 00:04:58 PDT
Date: Mon, 21 Oct 2002 00:04:58 -0700 (PDT)
From: Ludwig Lim <lud_nowhere_man@yahoo.com>
Subject: Default cost variables in postgresql.conf
To: PostgreSQL Mailing List <pgsql-performance@postgresql.org>
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Hi:
Are the "cost" variables (e.g.
random_page_cost,cpu_tuple_cost,cpu_index_tuple_cost)
in postgresql.conf optimal for a particular set of
platform / hardware requirements? (i.e. the configs
works best for let say if you have PIII computer w/
IDE as storage).
I'm asking this since a lot of softwares' configs
are defaulted to a "conservative" settings where
allowances are given for people who have older/slower
CPUs(w/ not so large amount of memory).
Thank you in advance.
ludwig.
__________________________________________________
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From pgsql-performance-owner@postgresql.org Mon Oct 21 03:36:07 2002
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To: Mario Weilguni <mweilguni@sime.com>
Cc: pgsql-performance@postgresql.org
Subject: Re: Self-generating statistics?
References: <200210210823.33744.mweilguni@sime.com>
From: Neil Conway <neilc@samurai.com>
In-Reply-To: <200210210823.33744.mweilguni@sime.com>
Date: 21 Oct 2002 03:34:56 -0400
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Mario Weilguni <mweilguni@sime.com> writes:
> Many of the performance problems on pgsql-general seem to be related
> to the fact that no analyze is performed after the creation on the
> tables
Well, there are lots of other ways an incompetent DBA can screw up a
database. The need to VACUUM and ANALYZE is stated clearly in the
docs. Providing workarounds for negligence isn't the right path to get
started down, IMHO.
That said, the general idea of a self-tuning database system has
merit, IMHO. For example, this paper proposes a histogram data
structure that can be updated fairly cheaply based on data gathered
from query execution:
http://citeseer.nj.nec.com/255752.html
A bunch of industry players (IBM, Microsoft, etc.) are putting some
work into this area (IBM calls it "autonomic computing", for
example). It might be an interesting area to look at in the future...
Cheers,
Neil
--
Neil Conway <neilc@samurai.com> || PGP Key ID: DB3C29FC
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Date: Mon, 21 Oct 2002 09:00:25 -0400
From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Self-generating statistics?
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from mweilguni@sime.com on Mon, Oct 21, 2002 at 08:23:33AM +0200
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On Mon, Oct 21, 2002 at 08:23:33AM +0200, Mario Weilguni wrote:
> Something that might be worth considering:
>
> Many of the performance problems on pgsql-general seem to be
> related to the fact that no analyze is performed after the creation
> on the tables, so maybe this might be an option to fix that (in
> future releases): when a table has no statistics at all, and the
> first seq-scan on the table is
It's never the case that a table has no statistics at all. It has
default ones. Maybe they're right; it's hard to know.
Someone has posted on gborg an anto-vacuum daemon that might be of
use in this situation.
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
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From pgsql-performance-owner@postgresql.org Mon Oct 21 10:28:47 2002
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Date: Mon, 21 Oct 2002 10:16:21 -0400
From: Andrew Sullivan <andrew@libertyrms.info>
To: PostgreSQL Mailing List <pgsql-performance@postgresql.org>
Subject: Re: Default cost variables in postgresql.conf
Message-ID: <20021021101621.A19970@mail.libertyrms.com>
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from lud_nowhere_man@yahoo.com on Mon, Oct 21, 2002 at 12:04:58AM
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On Mon, Oct 21, 2002 at 12:04:58AM -0700, Ludwig Lim wrote:
> Hi:
>
> Are the "cost" variables (e.g.
> random_page_cost,cpu_tuple_cost,cpu_index_tuple_cost)
> in postgresql.conf optimal for a particular set of
> platform / hardware requirements? (i.e. the configs
Not exactly. They're best guesses. If you check the admin guide,
you'll see that there's a note about these which says that there is
not a well-defined method for calculating these things, so you are
encouraged to experiment and share your findings. They _are_ known
to be conservative defaults, like everything else in the system.
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
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Tue, 22 Oct 2002 04:47:38 PDT
Date: Tue, 22 Oct 2002 04:47:38 -0700 (PDT)
From: Ludwig Lim <lud_nowhere_man@yahoo.com>
Subject: Selective usage of index in planner/optimizer (Too conservative?)
To: PostgreSQL Mailing List <pgsql-performance@postgresql.org>
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Hi:
I was testing a database when notice that it does not
used the new index I created. So after a couple of
VACUUM ANALYZE it tried the following test queries.
**** TEST CASE #1 ***********
loyalty=# set enable_seqscan=off;
SET VARIABLE
loyalty=# explain analyze select count(*) from points
where branch_cd=1 ;
NOTICE: QUERY PLAN:
Aggregate (cost=119123.54..119123.54 rows=1 width=0)
(actual time=811.08..811.0
8 rows=1 loops=1)
-> Index Scan using idx_monthly_branch on points
(cost=0.00..1187
65.86 rows=143073 width=0) (actual time=0.19..689.75
rows=136790 loops=1)
Total runtime: 811.17 msec
***** TEST CASE #2 *********
loyalty=# set enable_seqscan=on;
SET VARIABLE
loyalty=# explain analyze select count(*) from points
where branch_cd=1 ;
NOTICE: QUERY PLAN:
Aggregate (cost=62752.34..62752.34 rows=1 width=0)
(actual time=3593.93..3593.9
3 rows=1 loops=1)
-> Seq Scan on points (cost=0.00..62681.70
rows=28254 width=0) (a
ctual time=0.33..3471.54 rows=136790 loops=1)
Total runtime: 3594.01 msec
*** TEST CASE #3 (Sequential scan turned off) ******
loyalty=# explain select * from points where
branch_cd=5;
NOTICE: QUERY PLAN:
Index Scan using idx_monthly_branch on points
(cost=0.00..49765.12 r
ows=16142 width=55)
I am wondering why in test case #2 it did not use
an index scan, where as in case #3 it did. The number
of rows in test #2 and #3 are just a small subset of
table "points".
The following are the number of elements in the
table:
branch_cd = 1 ---> 136,970
branch_cd = 5 ---> 39,385
count(*) ---> 2,570,173
Its rather strange why "SELECT COUNT(*)...WHERE
branch_cd=1" uses sequential scan even though it just
comprises 5.3% of whole table...
I'ts also strange because of the ff: (Remember test
case 1 and 2 are the same query)
test 1 --> seq_scan=off --> 811.17 msec
test 2 --> seq_scan=on --> 3594.01 msec
Test #1 have 400% improvement over Test #2, yet the
query plan for test #2 is the default.
Are there way to let the planner improve the choice
in using an index or not? BTW the "cost" variables
are set to the default for the test.
Thank you in advance.
ludwig.
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From pgsql-performance-owner@postgresql.org Tue Oct 22 10:24:22 2002
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To: Ludwig Lim <lud_nowhere_man@yahoo.com>
Cc: PostgreSQL Mailing List <pgsql-performance@postgresql.org>
Subject: Re: Selective usage of index in planner/optimizer (Too conservative?)
In-reply-to: <20021022114738.77366.qmail@web80303.mail.yahoo.com>
References: <20021022114738.77366.qmail@web80303.mail.yahoo.com>
Comments: In-reply-to Ludwig Lim <lud_nowhere_man@yahoo.com>
message dated "Tue, 22 Oct 2002 04:47:38 -0700"
Date: Tue, 22 Oct 2002 10:24:24 -0400
Message-ID: <18687.1035296664@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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Ludwig Lim <lud_nowhere_man@yahoo.com> writes:
> NOTICE: QUERY PLAN:
> Aggregate (cost=119123.54..119123.54 rows=1 width=0)
> (actual time=811.08..811.0
> 8 rows=1 loops=1)
> -> Index Scan using idx_monthly_branch on points
> (cost=0.00..1187
> 65.86 rows=143073 width=0) (actual time=0.19..689.75
> rows=136790 loops=1)
> Total runtime: 811.17 msec
> NOTICE: QUERY PLAN:
> Aggregate (cost=62752.34..62752.34 rows=1 width=0)
> (actual time=3593.93..3593.9
> 3 rows=1 loops=1)
> -> Seq Scan on points (cost=0.00..62681.70
> rows=28254 width=0) (a
> ctual time=0.33..3471.54 rows=136790 loops=1)
> Total runtime: 3594.01 msec
Something fishy about this --- why is the estimated number of rows
different in the two cases (143073 vs 28254)? Did you redo VACUUM
and/or ANALYZE in between?
> I am wondering why in test case #2 it did not use
> an index scan, where as in case #3 it did.
Probably because it knows "branch_cd=5" is more selective than
"branch_cd=1". It would be useful to see the pg_stats entry for
branch_cd.
> Its rather strange why "SELECT COUNT(*)...WHERE
> branch_cd=1" uses sequential scan even though it just
> comprises 5.3% of whole table...
No, what's strange is that it's faster to use an indexscan for that.
The table must be very nearly in order by branch_cd; have you clustered
it recently?
regards, tom lane
From pgsql-performance-owner@postgresql.org Tue Oct 22 21:48:03 2002
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Tue, 22 Oct 2002 18:48:04 PDT
Date: Tue, 22 Oct 2002 18:48:04 -0700 (PDT)
From: Ludwig Lim <lud_nowhere_man@yahoo.com>
Subject: Re: Selective usage of index in planner/optimizer (Too conservative?)
To: Tom Lane <tgl@sss.pgh.pa.us>
Cc: PostgreSQL Mailing List <pgsql-performance@postgresql.org>
In-Reply-To: <18687.1035296664@sss.pgh.pa.us>
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--- Tom Lane <tgl@sss.pgh.pa.us> wrote:
>
> Something fishy about this --- why is the estimated
> number of rows
> different in the two cases (143073 vs 28254)? Did
> you redo VACUUM
> and/or ANALYZE in between?
I neither VACUUMed nor ANALYZEd between the 2
cases.
>
> > I am wondering why in test case #2 it did not
> use
> > an index scan, where as in case #3 it did.
>
> Probably because it knows "branch_cd=5" is more
> selective than
> "branch_cd=1". It would be useful to see the
> pg_stats entry for
> branch_cd.
Should I try altering the statistics? I tried
ANALYZE points(branch_cd);
but it still gave me the same results.
> > Its rather strange why "SELECT COUNT(*)...WHERE
> > branch_cd=1" uses sequential scan even though it
> just
> > comprises 5.3% of whole table...
What I mean is the table is rather large. (2
million rows) and I thought the planner would
automatically used an index to retrieve a small subset
(based on the percentage) of the large table.
> No, what's strange is that it's faster to use an
> indexscan for that.
> The table must be very nearly in order by branch_cd;
> have you clustered
> it recently?
I never clustered the table.
But prior to testing I dropped an index and create
a new one. Does dropping and creating index "confuse"
the planner even after a VACUUM ANALYZE?
I seem to notice this trend everytime I add a new
index to the table. It would slow down and the
performance would gradually improve in a day or two.
Should I try changing "cost" variables? I'm using
Pentium IV, with SCSI [RAID 5].
regards,
ludwig.
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From pgsql-performance-owner@postgresql.org Wed Oct 23 03:47:10 2002
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Date: Wed, 23 Oct 2002 09:53:10 +0200
From: Tomasz Myrta <jasiek@klaster.net>
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To: pgsql-performance@postgresql.org
Subject: joining views
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Hi
I'd like to split queries into views, but I can't join them - planner
search all of records instead of using index. It works very slow.
Here is example:
1) create table1(
id1 integer primary key,
...fields...
);
table1 has thousands rows >40000.
2) create index ind_pkey on table1(id1);
3) create view some_view as select
id1,...fields...
from table1
join ...(10 joins);
4) create view another_view as select
id1,...fields...
from table1
join ... (5 joins)
4) Now here is the problem:
explain select * from some_view where id1=1234;
result: 100
explain select * from another_view where id1=1234;
result: 80
explain select * from some_view v1, another_view v2
where v1.id1=1234 and v2.id1=1234
result: 210
Execution plan looks like planner finds 1 record from v1, so cost of
searching v1 is about 100. After this planner finds 1 record from v2
(cost 80) and it's like I want to have.
explain select * from some_view v1 join another_view v2 using(id1)
where v1.id1=1234;
result: 10000 (!)
explain select * from some_view v1 join some_view v2 using(id1)
where v1.id1=1234;
result: 10000 (!)
Even joining the same view doesn't work well.
Execution plan looks like planner finds 1 record from v1, so cost of
searching v1 is about 100. After this planner search all of records from
v2 (40000 records, cost 9000) and then performs join with v1.
I know that I can make only single view without joining views, but it
makes me a big mess.
Regards,
Tomasz Myrta
From pgsql-performance-owner@postgresql.org Wed Oct 23 10:31:21 2002
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To: Tomasz Myrta <jasiek@klaster.net>
Cc: pgsql-performance@postgresql.org
Subject: Re: joining views
In-reply-to: <3DB65566.6060906@klaster.net>
References: <3DB65566.6060906@klaster.net>
Comments: In-reply-to Tomasz Myrta <jasiek@klaster.net>
message dated "Wed, 23 Oct 2002 09:53:10 +0200"
Date: Wed, 23 Oct 2002 10:31:18 -0400
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From: Tom Lane <tgl@sss.pgh.pa.us>
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Tomasz Myrta <jasiek@klaster.net> writes:
> I'd like to split queries into views, but I can't join them - planner
> search all of records instead of using index. It works very slow.
I think this is the same issue that Stephan identified in his response
to your other posting ("sub-select with aggregate"). When you write
FROM x join y using (col) WHERE x.col = const
the WHERE-restriction is only applied to x. I'm afraid you'll need
to write
FROM x join y using (col) WHERE x.col = const AND y.col = const
Ideally you should be able to write just
FROM x join y using (col) WHERE col = const
but I think that will be taken the same as "x.col = const" :-(
regards, tom lane
From pgsql-performance-owner@postgresql.org Wed Oct 23 10:56:27 2002
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Date: Wed, 23 Oct 2002 17:02:34 +0200
From: Tomasz Myrta <jasiek@klaster.net>
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To: Tom Lane <tgl@sss.pgh.pa.us>
Cc: pgsql-performance@postgresql.org
Subject: Re: joining views
References: <3DB65566.6060906@klaster.net> <982.1035383478@sss.pgh.pa.us>
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U�ytkownik Tom Lane napisa�:
> I think this is the same issue that Stephan identified in his response
> to your other posting ("sub-select with aggregate"). When you write
> FROM x join y using (col) WHERE x.col = const
> the WHERE-restriction is only applied to x. I'm afraid you'll need
> to write
> FROM x join y using (col) WHERE x.col = const AND y.col = const
> Ideally you should be able to write just
> FROM x join y using (col) WHERE col = const
> but I think that will be taken the same as "x.col = const" :-(
I am sad, but you are right. Using views this way will look strange:
create view v3 as select
v1.id as id1,
v2.id as id2,
...
from some_view v1, another_view v2;
select * from v3 where
id1=1234 and id2=1234;
Is it possible to make it look better?
And how to pass param=const to subquery ("sub-select with aggregate") if
I want to create view with this query?
Tomasz Myrta
From pgsql-performance-owner@postgresql.org Sat Oct 26 06:27:52 2002
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Subject: Basic question about indexes/explain
From: Terry Yapt <pgsql@technovell.com>
To: pgsql-performance@postgresql.org
Date: Sat, 26 Oct 2002 12:27:28 +0200
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Hi all,
I have a basic doubt about indexes... in the next example:
-- =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D
DROP TABLE ctest;
CREATE TABLE ctest
( cusid numeric(5) PRIMARY KEY NOT NULL, -- Customer ID.
namec varchar(10) NOT NULL, -- Customer Name.
surnc varchar(20), -- Customer Surname.
cashc numeric(10,4) -- Customer Cash.
);
CREATE INDEX ctest_cashc ON ctest (cashc);
INSERT INTO ctest VALUES (10,'Ten Custom','S.Ten Customer',1000);
INSERT INTO ctest VALUES (5 ,'Five Custo','S.Five Customer',500);
INSERT INTO ctest VALUES (8, 'Eigth Cust','S.Eigth Customer',800);
INSERT INTO ctest VALUES (90,'Nine Custo','S.Nine Customer',9000);
INSERT INTO ctest VALUES (70,'Seven Cust','S.Seven Customer',7000);
-- Next two SELECT will execute using index Scan on ctest_pkey
explain SELECT * from ctest WHERE cusid between 5 AND 10 AND cashc < 1000;
explain SELECT * from ctest WHERE cusid =3D5 AND cashc =3D 1000;
CREATE INDEX ctest_othec ON ctest (cusid, cashc);
-- Next two SELECT will execute using Seq Scan.
explain SELECT * from ctest WHERE cusid between 5 AND 10 AND cashc < 1000;
explain SELECT * from ctest WHERE cusid =3D5 AND cashc =3D 1000;
-- =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=
=3D=3D=3D
SELECTs executed before CREATE INDEX ctest_othec... are using index scan on=
PRIMARY KEY, but after the CREATE INDEX all SELECTs are using seq scan.
Seq Scan has lower cost than index scan (I think because there are few rows=
in table).
But if we have an index with the two colums I am using in the WHERE clause,=
why is the planner using seq scan ? (Or perhaps it is because too few row=
s in the table ?)....
Thanks..
From pgsql-performance-owner@postgresql.org Sat Oct 26 07:40:10 2002
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From: Mario Weilguni <mweilguni@sime.com>
To: Terry Yapt <pgsql@technovell.com>,
pgsql-performance@postgresql.org
Subject: Re: Basic question about indexes/explain
Date: Sat, 26 Oct 2002 13:40:06 +0200
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Am Samstag, 26. Oktober 2002 12:27 schrieb Terry Yapt:
> Hi all,
>
snip
> I have a basic doubt about indexes... in the next example:
> But if we have an index with the two colums I am using in the WHERE claus=
e,
> why is the planner using seq scan ? (Or perhaps it is because too few ro=
ws
> in the table ?)....
First of all, you did not analyze your table (at least you did not mention =
you did). And an index is never a win for such a small table. I think the p=
lanner is fine here to select a seq scan, because your whole table is only =
1 database page, so it would be no win to check the index here.
Everything is explained in the manual, check http://developer.postgresql.or=
g/docs/postgres/indexes.html
regards,
mario weilguni
From pgsql-performance-owner@postgresql.org Sat Oct 26 10:24:55 2002
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To: Mario Weilguni <mweilguni@sime.com>
Cc: Terry Yapt <pgsql@technovell.com>,
pgsql-performance@postgresql.org
Subject: Re: Basic question about indexes/explain
In-reply-to: <200210261340.06876.mweilguni@sime.com>
References: <1035628048.81bd0c0pgsql@technovell.com>
<200210261340.06876.mweilguni@sime.com>
Comments: In-reply-to Mario Weilguni <mweilguni@sime.com>
message dated "Sat, 26 Oct 2002 13:40:06 +0200"
Date: Sat, 26 Oct 2002 10:24:52 -0400
Message-ID: <27301.1035642292@sss.pgh.pa.us>
From: Tom Lane <tgl@sss.pgh.pa.us>
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Mario Weilguni <mweilguni@sime.com> writes:
> Everything is explained in the manual, check
> http://developer.postgresql.org/docs/postgres/indexes.html
In particular note the comments at the bottom of
http://developer.postgresql.org/docs/postgres/performance-tips.html:
"It is worth noting that EXPLAIN results should not be extrapolated to
situations other than the one you are actually testing; for example,
results on a toy-sized table can't be assumed to apply to large
tables. The planner's cost estimates are not linear and so it may well
choose a different plan for a larger or smaller table. An extreme
example is that on a table that only occupies one disk page, you'll
nearly always get a sequential scan plan whether indexes are available
or not. The planner realizes that it's going to take one disk page read
to process the table in any case, so there's no value in expending
additional page reads to look at an index."
regards, tom lane
From pgsql-performance-owner@postgresql.org Sat Oct 26 18:35:27 2002
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Date: Sat, 26 Oct 2002 18:36:05 -0400
From: Carlos Moreno <moreno@mochima.com>
Subject: Setting shared buffers
To: pgsql-performance@postgresql.org
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After checking some docs on performance tuning, I'm trying to
follow Bruce Momjian (sp??) advice to set the shared_buffers
at 25% of the amount of physical memory (1GB in our server)
and 4% for the sort_mem.
When I try that, I get an error message when starting postgres,
complaining that the amount of shared memory requested exceeds
the maximum allowed by the kernel (they talk about increasing
the kernel parameter SHMMAX -- does this mean that I have to
recompile the kernel? Or is it just a "runtime" configuration
parameter that I set and on the next reboot will be taken?)
To double check if I understood correctly:
I have 1GB, so I want 256MB as shared buffers memory; each
shared buffer is 8kbytes, so I take 256M / 8k, which is 32k --
so, I uncomment the line shared_buffers in the configuration
file, and put:
shared_buffers = 32000
I don't touch anything else (max_connections keeps its default
value, but as I understand, that has nothing to do anyway...
right?)
So, what should I do?
Apologies if this is an FAQ -- I tried searching the archives,
but I get a 404 - Not Found error when following the link to
the archives for this list :-(
Thanks in advance for any comments / advice !
Carlos
--
From pgsql-performance-owner@postgresql.org Sat Oct 26 20:12:53 2002
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: Setting shared buffers
To: Carlos Moreno <moreno@mochima.com>,
pgsql-performance@postgresql.org
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Carlos,
> After checking some docs on performance tuning, I'm trying to
> follow Bruce Momjian (sp??) advice to set the shared_buffers
> at 25% of the amount of physical memory (1GB in our server)
> and 4% for the sort_mem.
I tend to set my shared_buffers somewhat higher, but that's a good
place to start. Be cautious about sort_mem on a server with a lot of
users; sort_mem is not shared, so make sure that you have enough that
your server could handle 1-2 sorts per concurrent user without running
out of RAM.
> When I try that, I get an error message when starting postgres,
> complaining that the amount of shared memory requested exceeds
> the maximum allowed by the kernel (they talk about increasing
> the kernel parameter SHMMAX -- does this mean that I have to
> recompile the kernel? Or is it just a "runtime" configuration
> parameter that I set and on the next reboot will be taken?)
It's easy, on Linux don't even have to reboot. Other OS's are harder.
See this very helpful page:
http://www.us.postgresql.org/users-lounge/docs/7.2/postgres/kernel-resources.html#SYSVIPC
In fact, I tend to up my SHMMAX and SHMMALL and shared_buffers at night
on some databases, when they are doing automatic updates, and adjust
them back down during the day, when I want to prevent heavy user loads
from using up all system RAM.
> I have 1GB, so I want 256MB as shared buffers memory; each
> shared buffer is 8kbytes, so I take 256M / 8k, which is 32k --
> so, I uncomment the line shared_buffers in the configuration
> file, and put:
See the calculations on the page link above. They are more specific
than that, and I have found the numbers there to be good estimates,
maybe only 10-20% high.
-Josh Berkus
From pgsql-general-owner@postgresql.org Mon Oct 28 08:25:37 2002
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From: "Lars Maschke" <lars@gmeiner.de>
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Subject: [pgsql-performance] Performance Problems
Date: Mon, 28 Oct 2002 12:00:52 +0100
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Hello Newsgroup
I have trouble with postgres 7.2.3. This system works fine, but last week
every postmaster process exhausted my system to 100%. What can i do ? When I
dump all databases it has 16MB. I start my system with the following
command:
postmaster -i -c shared_buffers=1024 -c sort_mem=16384 -c
effective_cache_size=2048 -c max_connections=128 -c fsync=false -c
enable-seqscan=false -c enable_indexscan=false -c enable_tidscan=false -c
enable_sort=false -c enable_nestloop=false -c enable_hashjoin=false -c
enable-mergejoin=false -c show_parser_stats=false -c
show_planner_stats=false -c show_executor_stats=false -c
show_query_stats=false -c random_page_cost=0.99 -o -F
Can someone help me ?
--
Lars Maschke
---
Es gibt Tage, da verliert man und es gibt Tage, da gewinnen die anderen.
From pgsql-performance-owner@postgresql.org Mon Oct 28 15:47:55 2002
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Date: Mon, 28 Oct 2002 12:47:52 -0800 (PST)
From: James Kelty <j_kelty@yahoo.com>
Subject: Clusters
To: pgsql-performance@postgresql.org
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Hello,
I have a question regarding clusters. What with all
the hoop-la about Oracle RAC, the question of
clustering PostgreSQL has come up at work.
Now, I know that only one system can actually update
the database, and in a active/passive failover
situation that is ok. But! If I have lots and lots of
READS from the DB, can I cluster many low end systems
together behind an SLB? Assume that all systems have a
qlogic card, and are attached to a SAN, and that the
SAN holds the data. Can PostgreSQL be configured to
read from the SAN? Does each system have to initialize
the DB?
I think this could greatly improve the perfomance from
a application appearance, but, so far I have only seen
documentation about Oracle RAC, DB2, and MySQL using
some sort of cluster software, be it, kimberlite, Red
Hat Cluster Manager, or Vertias Cluster Server.
PostgreSQL seems to be our DB of choice, and I just
want to have a scalable solution via clustering for
it. No replication. Thanks for any thoughts!
-James
=====
James Kelty
11742 NW Valley Vista Rd.
Hillsboro, OR 97124
Cell: 541.621.5832
j_kelty@yahoo.com
__________________________________________________
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From pgsql-performance-owner@postgresql.org Mon Oct 28 15:59:27 2002
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From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Clusters
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On Mon, Oct 28, 2002 at 12:47:52PM -0800, James Kelty wrote:
> together behind an SLB? Assume that all systems have a
> qlogic card, and are attached to a SAN, and that the
> SAN holds the data. Can PostgreSQL be configured to
> read from the SAN? Does each system have to initialize
> the DB?
You can't do this safely. PostgreSQL wants to control its disk.
Someone has said on the (?) -general list that he has modified the
PostgreSQL code to do this, but it makes me nervous.
The Postgres-R project is trying to do something similar, but it's
some way from production quality.
> it. No replication. Thanks for any thoughts!
I sort of wonder why "no replication" is a requirement. If you want
lots of cheap, read-only machines, why not do it with replication?
You can buy a _lot_ of x86 boxes with Promise IDE RAID and big, fast
IDE drives for the price of ORAC.
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
From pgsql-performance-owner@postgresql.org Mon Oct 28 16:18:48 2002
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From: Sean Chittenden <sean@chittenden.org>
To: Andrew Sullivan <andrew@libertyrms.info>, pgsql-performance@postgresql.org
Subject: Re: Clusters
Message-ID: <20021028211846.GM92719@perrin.int.nxad.com>
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> > together behind an SLB? Assume that all systems have a qlogic
> > card, and are attached to a SAN, and that the SAN holds the
> > data. Can PostgreSQL be configured to read from the SAN? Does each
> > system have to initialize the DB?
>
> You can't do this safely. PostgreSQL wants to control its disk.
> Someone has said on the (?) -general list that he has modified the
> PostgreSQL code to do this, but it makes me nervous.
Didn't Tom say that it was possible if you had different WAL logs for
each instance? ie, just share the data directory, but everything else
has to be on a per instance basis. Check the archives, someone just
asked about this a week ago or so. -sc
--
Sean Chittenden
From pgsql-performance-owner@postgresql.org Mon Oct 28 16:32:15 2002
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From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Clusters
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from sean@chittenden.org on Mon, Oct 28, 2002 at 01:18:46PM -0800
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On Mon, Oct 28, 2002 at 01:18:46PM -0800, Sean Chittenden wrote:
>
> Didn't Tom say that it was possible if you had different WAL logs for
> each instance? ie, just share the data directory, but everything else
> has to be on a per instance basis. Check the archives, someone just
> asked about this a week ago or so. -sc
As Sean says, check the archives. But I think the problem is bigger
than just the WAL. For instance, the pidfile is in the data
directory, so each system is going to try to overwrite that. Plus,
there's no read-only mode for Postgres, so if one of the systems
writes where it shouldn't, you'll blow everything away. I can
appreciate that some people like to play at the bare metal this way,
but it gives me ulcers ;-)
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
From pgsql-performance-owner@postgresql.org Mon Oct 28 16:56:19 2002
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From: eric soroos <eric-psql@soroos.net>
Subject: Low Budget Performance
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I'm looking for some advice or benchmarks comparing low end systems for a postgres installation.
Currently, I've got postgres running on the same system as the app server accessing a single fast IDE drive. The database is on the order of 1 gig, with two main tables accounting for 98% of the data. Between the app servers and the database, I'm pretty sure that neither of the main tables are cached in memory for any significant time. I'm guessing that this is sub optimal. (The data size is 1 gig now, but I will be adding more 1 gig databases to this system in the near future) I'm planning to split this into an app server and database server.
In an ideal world, I'd throw a lot of 15k scsi/raid0+1 at this. But I don't have an ideal world budget. I've got more of an ide world budget, if that. (~1k)
I know the first order of business is to ignore the hardware and make sure that I've got all of the table scans found and turned into indexes. I'm still working on that. Are there any tools that save queries and the plans, then report on the ones that are the biggest performance drags?
But since I do software, it's obviously a hardware problem. ;>
My hardware options:
Processor:
* My low cost option is to repurpose an under used p3 with onboard IDE raid and pc133 memory. The high cost option is to get a new mid range Athalon with 266/ddr memory. Will maxing out the memory mean that whatever I don't use for client connections will be used for caching the drive system? (most likely, I will be running debian woody with a 2.4 series kernel)
Drives:
* The cost difference between IDE and SCSI is roughly a factor of 2-4x. (100 gig 7200 rpm IDE can be had for a little over $100, 10k 36 gig SCSI is about $200. Am I better off throwing twice as many (4) IDE disks at the system? Does it change if I can put each IDE drive on its own channel?
Drive Layout:
* What Drive layout?
Raid?
0 gives better latency if the controller reads from whichever gets the data first. It's unclear if IDE or software raid actually does this though.
1 Gives better throughput, at a cost to latency.
5 Like 1 but with redundancy. It's unclear if I'll be able to do this without hardware SCSI raid.
Non Raid?
I've read about seperating table spaces on different drives, so that indexes and data can be written at the same time. This advice appears to be tailored to the complexity of oracle. The ideal configuration according to this info appears to be multiple drives, all mirrored individually.
Does the write ahead logging of PG mean that no matter what indexes and data are changed, that there will be one sync to disk? Does this reduce the penalty of indexes? WAL seems to mean that to get performance out of a drive array, I'd want to use the fastest (latency/throughput) logical single image I could get, not a collection of mirrored drives.
I'd appreciate any insight.
eric
From pgsql-performance-owner@postgresql.org Mon Oct 28 17:07:13 2002
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Date: Mon, 28 Oct 2002 17:07:42 -0500
From: Carlos Moreno <moreno@mochima.com>
Subject: Re: Setting shared buffers
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Thanks John! This is very helpful...
Just one detail I'd like to double check:
>It's easy, on Linux don't even have to reboot. Other OS's are harder.
> See this very helpful page:
>http://www.us.postgresql.org/users-lounge/docs/7.2/postgres/kernel-resources.html#SYSVIPC
>
>In fact, I tend to up my SHMMAX and SHMMALL and shared_buffers [...]
>
According to that document, I should put the same value for the
SHMMAX and SHMMALL -- however, when I do:
cat /proc/sys/kernel/shmmax
cat /proc/sys/kernel/shmmall
on my Linux system (RedHat 7.3, soon to upgrade to 8.0), I
get different values, shmmall being shmmax divided by 16
Is that normal? What should I do? Should I follow the exact
same instructions from that document and set both to the
exact same value?
Are the default values set that way (i.e., different values)
for some strange reason, or is it that on the 2.4 kernel
the shmmall is indicated in blocks of 16 bytes or something
like that?
Thanks!
Carlos
--
From pgsql-performance-owner@postgresql.org Mon Oct 28 19:00:38 2002
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Mon, 28 Oct 2002 16:00:38 PST
Date: Mon, 28 Oct 2002 16:00:38 -0800 (PST)
From: James Kelty <j_kelty@yahoo.com>
Subject: Re: Clusters
To: Andrew Sullivan <andrew@libertyrms.info>, pgsql-performance@postgresql.org
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I've just been very unhappy with the ease of use for
Postgres replication. Pgreplicator was a huge pain
that worked less often than not, rserv was really
unmanageable. I haven't had a chance to look at
dbmirror yet, though. Plus the replication would start
to chew up network bandwidth at some point. Of course,
so would reading from the SAN. But, then there is the
issue of system failure. If the system has to be
re-imaged, then I'd have to take a snap shot of the
master, and re-apply it to the new system. It just
seems more manageable if I can plug in a new Postgres
'instance' to the SAN, and have it up to date the
minute it starts. I know that postgres doesn't have a
'read-only' mode, but it does have the GRANT option.
So, access to the DB _can_ be controlled that way at
least.
Anyway, thanks for all the thoughts and info. If
anyone knows of some other replication service besides
the two listed above, great! Let me know!
Lemme just say, that the feature set of Postgres, when
talking strictly database, is AWESOME. Really easy to
work with, and around, but, in the HA world, it seems
a little difficult to work with.
Thanks again, Guys!
-James
--- Andrew Sullivan <andrew@libertyrms.info> wrote:
> On Mon, Oct 28, 2002 at 12:47:52PM -0800, James
> Kelty wrote:
> > together behind an SLB? Assume that all systems
> have a
> > qlogic card, and are attached to a SAN, and that
> the
> > SAN holds the data. Can PostgreSQL be configured
> to
> > read from the SAN? Does each system have to
> initialize
> > the DB?
>
> You can't do this safely. PostgreSQL wants to
> control its disk.
> Someone has said on the (?) -general list that he
> has modified the
> PostgreSQL code to do this, but it makes me nervous.
>
> The Postgres-R project is trying to do something
> similar, but it's
> some way from production quality.
>
> > it. No replication. Thanks for any thoughts!
>
> I sort of wonder why "no replication" is a
> requirement. If you want
> lots of cheap, read-only machines, why not do it
> with replication?
> You can buy a _lot_ of x86 boxes with Promise IDE
> RAID and big, fast
> IDE drives for the price of ORAC.
>
> A
>
> --
> ----
> Andrew Sullivan 204-4141
> Yonge Street
> Liberty RMS Toronto,
> Ontario Canada
> <andrew@libertyrms.info>
> M2P 2A8
> +1 416 646
> 3304 x110
>
>
> ---------------------------(end of
> broadcast)---------------------------
> TIP 6: Have you searched our list archives?
>
> http://archives.postgresql.org
=====
James Kelty
11742 NW Valley Vista Rd.
Hillsboro, OR 97124
Cell: 541.621.5832
j_kelty@yahoo.com
__________________________________________________
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From pgsql-performance-owner@postgresql.org Mon Oct 28 22:27:33 2002
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From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Clusters
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On Mon, Oct 28, 2002 at 04:00:38PM -0800, James Kelty wrote:
> that worked less often than not, rserv was really
> unmanageable.
We use PostgreSQL, Inc's eRserver, which is a commercial version of
the code in contrib/, and I can say that it is not unmanageable, but
it is some work at first. The commercial version is an improvement
on the contrib/ code, though. For us, it's worth it; but you have to
decide that for yourself.
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
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From: "Shridhar Daithankar" <shridhar_daithankar@persistent.co.in>
To: pgsql-performance@postgresql.org
Date: Tue, 29 Oct 2002 12:00:45 +0530
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Subject: Re: Low Budget Performance
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On 28 Oct 2002 at 13:56, eric soroos wrote:
> Currently, I've got postgres running on the same system as the app server accessing a single fast IDE drive. The database is on the order of 1 gig, with two main tables accounting for 98% of the data. Between the app servers and the database, I'm pretty sure that neither of the main tables are
cached in memory for any significant time. I'm guessing that this is sub optimal. (The data size is 1 gig now, but I will be adding more 1 gig databases to this system in the near future) I'm planning to split this into an app server and database server.
>
> In an ideal world, I'd throw a lot of 15k scsi/raid0+1 at this. But I don't have an ideal world budget. I've got more of an ide world budget, if that. (~1k)
>
> I know the first order of business is to ignore the hardware and make sure that I've got all of the table scans found and turned into indexes. I'm still working on that. Are there any tools that save queries and the plans, then report on the ones that are the biggest performance drags?
>
> But since I do software, it's obviously a hardware problem. ;>
>
> My hardware options:
I would say throw a lot of RAM no matter what type. Even PC133 is going to be
faster than any disk you can buy anytimes. I would say 2Gig is a nice place to
start.
A gig is not much of a database but a lot depends upon what do you do with the
data. Obviously 50 clients doing sequential scan with rows ordered in random
fashion would chew any box,..;-)
Processor does not matter much. But I would advice to split app server and
database server ASAP.
Well, IDE RAID looks like nice optio to me, but before finalising RAID config.,
I would advice to test performance and scalability with separate database
server and couple of Gigs of RAM. Because if this configuration is sufficient
for your need, probably you can choose a conservatice RAID config that would
enhance availability rather than getting every ounce of performance out of it.
As far as possible, don't compramise with storage availability.
> Does the write ahead logging of PG mean that no matter what indexes and data are changed, that there will be one sync to disk? Does this reduce the penalty of indexes? WAL seems to mean that to get performance out of a drive array, I'd want to use the fastest (latency/throughput) logical
single image I could get, not a collection of mirrored drives.
I guess RAID will take care of lot of these issues. Besides if you use volume
manager you can add partitions from different disks, effectively splitting the
IO. Of course, you can shutdown the database and symlink things to another
drive, but that's hack and nothing else. Don't do it as far as possible..
HTH
Bye
Shridhar
--
You're dead, Jim. -- McCoy, "Amok Time", stardate 3372.7
From pgsql-performance-owner@postgresql.org Tue Oct 29 01:41:36 2002
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From: Mario Weilguni <mweilguni@sime.com>
To: eric soroos <eric-psql@soroos.net>,
pgsql-performance@postgresql.org
Subject: Re: Low Budget Performance
Date: Tue, 29 Oct 2002 08:07:50 +0100
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Am Montag, 28. Oktober 2002 22:56 schrieb eric soroos:
> Raid?
> 0 gives better latency if the controller reads from whichever gets the da=
ta
> first. It's unclear if IDE or software raid actually does this though. 1
> Gives better throughput, at a cost to latency.
> 5 Like 1 but with redundancy. It's unclear if I'll be able to do this
> without hardware SCSI raid.
Just for the raid part, we've very good expiriences with Raid 10. Performs =
well and has mirroring. Avoid Raid 5 if possible, write performance will su=
ffer greatly.
Regards,
Mario Weilguni
From pgsql-general-owner@postgresql.org Tue Oct 29 08:38:23 2002
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From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org, pgsql-general@postgresql.org
Subject: Re: [pgsql-performance] Performance Problems
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On Mon, Oct 28, 2002 at 12:00:52PM +0100, Lars Maschke wrote:
> Can someone help me ?
Maybe. You need to tell us what "exhausted your system" means. Did
it crash? Were you swapping? Were your CPUs pegged?
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
From pgsql-performance-owner@postgresql.org Tue Oct 29 08:43:41 2002
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To: Sean Chittenden <sean@chittenden.org>
Cc: Andrew Sullivan <andrew@libertyrms.info>, pgsql-performance@postgresql.org
Subject: Re: Clusters
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Comments: In-reply-to Sean Chittenden <sean@chittenden.org>
message dated "Mon, 28 Oct 2002 13:18:46 -0800"
Date: Tue, 29 Oct 2002 08:43:38 -0500
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From: Tom Lane <tgl@sss.pgh.pa.us>
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Sean Chittenden <sean@chittenden.org> writes:
> together behind an SLB? Assume that all systems have a qlogic
> card, and are attached to a SAN, and that the SAN holds the
> data. Can PostgreSQL be configured to read from the SAN? Does each
> system have to initialize the DB?
>>
>> You can't do this safely. PostgreSQL wants to control its disk.
>> Someone has said on the (?) -general list that he has modified the
>> PostgreSQL code to do this, but it makes me nervous.
> Didn't Tom say that it was possible if you had different WAL logs for
> each instance?
I said no such thing. I said it will not work, period.
regards, tom lane
From pgsql-performance-owner@postgresql.org Tue Oct 29 09:26:36 2002
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Date: Tue, 29 Oct 2002 08:26:37 -0600
From: Kenny H Klatt <kklatt@alpha3.csd.uwm.edu>
To: pgsql-performance@postgresql.org
Subject: Possible OT - Benchmark test for 7.3 Beta 3
Message-ID: <20021029142637.GA11684@alpha3.csd.uwm.edu>
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Hi:
Not being too versed with postgres and beta tests, is there
a place or person who would review the results of the benchmark test for 7.3?
kklatt@uwm.edu
From pgsql-performance-owner@postgresql.org Tue Oct 29 10:15:54 2002
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From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Possible OT - Benchmark test for 7.3 Beta 3
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On Tue, Oct 29, 2002 at 08:26:37AM -0600, Kenny H Klatt wrote:
> Hi:
> Not being too versed with postgres and beta tests, is there
> a place or person who would review the results of the benchmark test for 7.3?
I'm unaware of anyone having done a benchmark. If you know of one,
please share it with all of us.
A
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: Low Budget Performance
To: pgsql-performance@postgresql.org
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Eric,
> > Currently, I've got postgres running on the same system as the app
> server accessing a single fast IDE drive. The database is on the
> order of 1 gig, with two main tables accounting for 98% of the data.
> Between the app servers and the database, I'm pretty sure that
> neither of the main tables are
> cached in memory for any significant time. I'm guessing that this is
> sub optimal. (The data size is 1 gig now, but I will be adding more 1
> gig databases to this system in the near future) I'm planning to
> split this into an app server and database server.
One gig is a large database for a single IDE drive -- especially with
multiple client connections.
> > In an ideal world, I'd throw a lot of 15k scsi/raid0+1 at this.
> But I don't have an ideal world budget. I've got more of an ide
> world budget, if that. (~1k)
Well, no matter how many performance tricks you add in, the speed will
be limited by the hardware. Make sure that your client/employer knows
that *before* they complain about the speed.
> > I know the first order of business is to ignore the hardware and
> make sure that I've got all of the table scans found and turned into
> indexes. I'm still working on that. Are there any tools that save
> queries and the plans, then report on the ones that are the biggest
> performance drags?
Not exactly. If you enable Postgres 7.2 STATISTICS, you can get a lot
of information about which indexes are being used, which are not, and
which tables are having a lot of table scans. A tool like you
describe would be really, really useful -- in fact, if anyone wrote
one, I'm sure you could sell it for $$$$.
> > But since I do software, it's obviously a hardware problem. ;>
<grin>
Actually, your best option for the hardware is to test what portion of
the hardware is bottlenecking your performance, and address that. But
first:
> Well, IDE RAID looks like nice optio to me, but before finalising
> RAID config.,
> I would advice to test performance and scalability with separate
> database
> server and couple of Gigs of RAM.
I'm not convinced that current IDE RAID actually improves database disk
throughput -- there's a lot of overhead in the one controller I tried
(Promise). Does anyone have some statistics they can throw at me?
A cheaper and easier method, involving 3-4 disks:
Channel 1, Disk 1: Operating System, Swap, and PostgreSQL log
Channel 1, Disk 2: WAL Files
Channel 2, Disk 1: Database
Channel 2, Disk 2 (optional): 2nd database data
*however*, if you have multiple databases being simulteaneously
accessesed, you will want to experiment with shuffling around the
databases and WAL files to put them on different disks. The principle
is to divide the disk tasks that are simultaenous ammonng as many disks
as possible; thus the WAL files always do better on a different disk
and channel than the database.
> > Does the write ahead logging of PG mean that no matter what indexes
> and data are changed, that there will be one sync to disk? Does this
> reduce the penalty of indexes?
In a word: No. Depending on the size of the update, there may be
multiple synchs. And indexes do carry a significant penalty on large
updates; just try runninng 10,000 updates to an indexed column as one
transaction, and the penalty will be obvious. In fact, for my data
load procedures, I tend to drop and re-create indexes.
> WAL seems to mean that to get
> performance out of a drive array, I'd want to use the fastest
> (latency/throughput) logical
> single image I could get, not a collection of mirrored drives.
Mirrored drives are different than RAID. However, you are correct
that the redundancy/fail-over factor in some RAID and Mirroring comes
at a performance penalty.
But you need to determine where you are actually losing time.
Assuming that your tables are correctly indexed, your files are
distributed, and your database is VACUUM FULL ANALYZed, and your
postgresql.conf configured for optimum use of your exisiting memory,
then here's what you do (assuming that you use Linux)
1. From a workstation, open 2 terminal windows on the server. In #1,
run "vmstat 3", in the other "top"
2. Have your users pound on the application, trying all of the most
complicated (and slow) operations in the app. More users is better,
for this test.
3. Watch Vmstat and Top. What you're looking for is:
a) Is the processor at 75% or above? If so, you either need a faster
processor or more efficient queries
b) Is the system using 80-100% of the RAM which you allocated it? If
so, add more RAM and increase the Postgresql.conf memory variables.
c) Is the system using Swap memory? if so, either add more RAM, or
*decrease* the postgresql.conf memory variables.
d) Are RAM and Processor at less than 50%, but the Disk I/O reaches a
maximum number and stays there for minutes? Then your disk channel is
flooded, and you cannot improve performance except by either improving
your queries so the pull less rows, or adding more/faster disk
capacity.
The above process, while drawn-out, will help you avoid spending a lot
of money on, for example, RAM that won't make a difference.
-Josh Berkus
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From: "Josh Berkus" <josh@agliodbs.com>
Subject: Re: Low Budget Performance
To: Mario Weilguni <mweilguni@sime.com>,
eric soroos <eric-psql@soroos.net>, pgsql-performance@postgresql.org
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Mario,
> Just for the raid part, we've very good expiriences with Raid 10.
> Performs well and has mirroring. Avoid Raid 5 if possible, write
> performance will suffer greatly.
Out of curiousity, what is it with RAID 5? I've encountered the poor
write performance too ... any idea why?
-Josh
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From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Low Budget Performance
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from josh@agliodbs.com on Tue, Oct 29, 2002 at 09:10:31AM -0800
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On Tue, Oct 29, 2002 at 09:10:31AM -0800, Josh Berkus wrote:
>
> Out of curiousity, what is it with RAID 5? I've encountered the poor
> write performance too ... any idea why?
It largely depends on the controller and te implementation. It has
to do with the cost of calculating the checksum. If the
implementation of that is inefficient, the writes become inefficient.
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
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From: eric soroos <eric-psql@soroos.net>
Subject: Re: Low Budget Performance
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Josh,
Thanks for the reply.
> One gig is a large database for a single IDE drive -- especially with
> multiple client connections.
That's good to know.
Is a scsi system that much better? Looking at prices, scsi is 1/2 the capacity and double the price for the 80 gig 7200rpm ide vs 36 gig 10k rpm scsi. Assuming that I'll never run out of space before running out of performance, I can dedicate 2x the number of ide drives to the problem.
> > Well, IDE RAID looks like nice optio to me, but before finalising
> > RAID config.,
> > I would advice to test performance and scalability with separate
> > database
> > server and couple of Gigs of RAM.
>
> I'm not convinced that current IDE RAID actually improves database disk
> throughput -- there's a lot of overhead in the one controller I tried
> (Promise). Does anyone have some statistics they can throw at me?
All of the benchmarks that I've seen show that IDE raid is good for large operations, but for random seek and small data transfers, you don't get anywhere near the expected scaling.
> A cheaper and easier method, involving 3-4 disks:
>
> Channel 1, Disk 1: Operating System, Swap, and PostgreSQL log
> Channel 1, Disk 2: WAL Files
> Channel 2, Disk 1: Database
> Channel 2, Disk 2 (optional): 2nd database data
With IDE, I think I can manage to put each drive on a seperate channel. I've either got one extra controller onboard, or I can add a 4 channel pci card. From what I've read, this is one of the more important factors in IDE performance.
> *however*, if you have multiple databases being simulteaneously
> accessesed, you will want to experiment with shuffling around the
> databases and WAL files to put them on different disks. The principle
> is to divide the disk tasks that are simultaenous ammonng as many disks
> as possible; thus the WAL files always do better on a different disk
> and channel than the database.
That's what I've read about database disk system design. Reduce spindle contention by using lots of drives. (especially in Philip Greenspun's book, but he's talking about 2x7 drives as a minimal configuration and 2x21 as ideal for larger systems. And when licensing is more expensive than that sort of drive system, it's all roundoff error.)
So, assuming that I have three databases with roughly equal load on them, does it make sense to partition them like:
disk 0: os/swap/log/backup staging
disk 1: WAL 1, DB 2
disk 2: WAL 2, DB 3
disk 3: WAL 3, DB 1
Or, in a slightly bigger drive system split 2 ways then mirrored.
disk 0: os etc
Disk 1,2: WAL 1, DB 2
Disk 3,4: WAL 2, DB 1
From an admin point of view, would this be done with alternate locations, symlinks, or multiple concurrent pg processes?
> > > Does the write ahead logging of PG mean that no matter what indexes
> > and data are changed, that there will be one sync to disk? Does this
> > reduce the penalty of indexes?
>
> In a word: No. Depending on the size of the update, there may be
> multiple synchs. And indexes do carry a significant penalty on large
> updates; just try runninng 10,000 updates to an indexed column as one
> transaction, and the penalty will be obvious. In fact, for my data
> load procedures, I tend to drop and re-create indexes.
Most of my update procedures are single row updates, with the exception being things that are already background tasks that the user doesn't notice the difference between 10 and 20 sec. So maybe I'm lucky there.
> Mirrored drives are different than RAID. However, you are correct
> that the redundancy/fail-over factor in some RAID and Mirroring comes
> at a performance penalty.
From howtos I've seen, there _can_ be a speed boost with mirroring on read using the linux kernel raid 1. Write performance suffers though.
> But you need to determine where you are actually losing time.
That looks like it will get me started.
eric
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Date: Tue, 29 Oct 2002 15:13:41 -0500
From: Andrew Sullivan <andrew@libertyrms.info>
To: pgsql-performance@postgresql.org
Subject: Re: Low Budget Performance
Message-ID: <20021029151341.S25851@mail.libertyrms.com>
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from eric-psql@soroos.net on Tue, Oct 29, 2002 at 10:43:33AM -0800
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On Tue, Oct 29, 2002 at 10:43:33AM -0800, eric soroos wrote:
> Is a scsi system that much better? Looking at prices, scsi is 1/2
> the capacity and double the price for the 80 gig 7200rpm ide vs 36
> gig 10k rpm scsi. Assuming that I'll never run out of space before
> running out of performance, I can dedicate 2x the number of ide
> drives to the problem.
SCSI is dramatically better at using the interface. It is much
smarter about, for instance, handling multiple disks at the same
time; and it requires less attention from the CPU.
That said, if you have enough high speed IDE controllers and disks,
you'll probably beat an older SCSI system. And you can't beat the
price/performance of IDE RAID. We use it for some applications.
Note also that you get better RAID controllers from SCSI vendors,
just because it's the official high speed offering. The Promise IDE
RAID is nice, but it sure isn't as fast as the latest SCSI RAID
controllers. (We have also found that there's some overhead in the
IDE RAID. It was better under FreeBSD than I'm now experiencing
under Linux. But that might just be my prejudices showing!)
A
--
----
Andrew Sullivan 204-4141 Yonge Street
Liberty RMS Toronto, Ontario Canada
<andrew@libertyrms.info> M2P 2A8
+1 416 646 3304 x110
From pgsql-performance-owner@postgresql.org Tue Oct 29 16:09:50 2002
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Subject: Re: Low Budget Performance
From: Ron Johnson <ron.l.johnson@cox.net>
To: pgsql-performance@postgresql.org
In-Reply-To: <20021029123110.M25851@mail.libertyrms.com>
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On Tue, 2002-10-29 at 11:31, Andrew Sullivan wrote:
> On Tue, Oct 29, 2002 at 09:10:31AM -0800, Josh Berkus wrote:
> >
> > Out of curiousity, what is it with RAID 5? I've encountered the poor
> > write performance too ... any idea why?
>
> It largely depends on the controller and te implementation. It has
> to do with the cost of calculating the checksum. If the
> implementation of that is inefficient, the writes become inefficient.
A high-quality smart controller with lots of cache RAM definitely
negates the RAID5 performance issues.
(Of course, I'm referring to enterprise-level rack-mounted h/w
that costs big bucks...)
--
+------------------------------------------------------------+
| Ron Johnson, Jr. mailto:ron.l.johnson@cox.net |
| Jefferson, LA USA http://members.cox.net/ron.l.johnson |
| |
| "they love our milk and honey, but preach about another |
| way of living" |
| Merle Haggard, "The Fighting Side Of Me" |
+------------------------------------------------------------+
From pgsql-performance-owner@postgresql.org Tue Oct 29 16:57:30 2002
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From: "Robert J. Sanford, Jr." <rsanford@trefs.com>
To: <pgsql-performance@postgresql.org>
Subject: Re: Low Budget Performance
Date: Tue, 29 Oct 2002 15:57:29 -0600
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> -----Original Message-----
> From: pgsql-performance-owner@postgresql.org
> [mailto:pgsql-performance-owner@postgresql.org]
> On Behalf Of Ron Johnson
> Sent: Tuesday, October 29, 2002 3:10 PM
> To: pgsql-performance@postgresql.org
> Subject: Re: [pgsql-performance] Low Budget Performance
>
>
> On Tue, 2002-10-29 at 11:31, Andrew Sullivan wrote:
> > On Tue, Oct 29, 2002 at 09:10:31AM -0800, Josh Berkus
> > wrote:
> > >
> > > Out of curiousity, what is it with RAID 5? I've
> > > encountered the poor write performance too ... any
> > > idea why?
> >
> > It largely depends on the controller and the
> > implementation. It has to do with the cost of
> > calculating the checksum. If the implementation of
> > that is inefficient, the writes become inefficient.
>
> A high-quality smart controller with lots of cache RAM
> definitely negates the RAID5 performance issues.
>
> (Of course, I'm referring to enterprise-level rack-mounted
> h/w that costs big bucks...)
Only if you buy it new. EBay has some great deals these days. My company
just purchased a very nice Quad Xeon w/ 2GB RAM and last year's high-end
PERC RAID controller for under $5K. The external drive array was a bit more
expensive but that is an optional purchase. The 3x9GB SCSI drives that came
with the machine should be more than sufficient to run a greater than small
database server. If you don't want to spend $5K there are Dual Xeon machines
with less RAM and not quite so nice RAID controllers that you can get in the
$2.5K to $3.5K range.
rjsjr
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Date: Thu, 31 Oct 2002 12:38:45 +1100
From: Justin Clift <justin@postgresql.org>
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Subject: Re: PG_Autotune 0.1
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Josh Berkus wrote:
>
> Folks, Justin,
>
> Hey, I've been tinkering with PG_autotune in an effort to make it usable on my
> installation.
> http://gborg.postgresql.org/project/pgautotune/projdisplay.php
>
> First off, thank you Justin for getting inspired and writing the starter
> version. This is something that would probably have remained *way* down the
> Postgres TODO list, were it not for you.
Thats cool. :)
> Since it's such a great idea, I'd like to make it bulletproof so that it can
> become part of the standard Postgres distribution. I'm hoping that people
> on this list can help.
Hopefully. :)
> Problems, Bugs, & Suggestions:
> 1) The program makes the assumption that the Postgres superuser is named
> "pgsql", forcing me to do a search-and-replace on the source to make it work
> at all on my system, where the superuser is named "postgres". This should
> be a configuration option. Places I've identified where this is an issue:
> a. the connection to the "metrics" database, b. the calls to Postgres
> executables (which are also sometimes made as the console user, causing them
> to fail if you run the program as "root").
Good point. It was developed on FreeBSD, and the PostgreSQL superuser
on FreeBSD (using the default installation method) is called "pgsql".
On at least Solaris and Linux the most common name for the superuser
appears to be "postgres".
> 2) The program also assumes that all Postgres binaries are symlinked in
> /usr/local/bin. Since this symlinking isn't done by Postgres-make-install,
> wouldn't it be better to reference $PGHOME/bin?
Yep.
> 3) For that matter, it would be nice if the program would test $PGDATA and
> $PGHOME, and prompt the user if they are empty.
Good point.
> 4) The shell scripts need to have error-checking so that they exit if anything
> blows up. I can write this if Justin can explain what the shell scripts are
> supposed to do, exactly, and where errors are acceptable.
Ok, no problem.
There are really only two shell scripts and a template. Forgot to
include the template i n the downloadable version. :( Have to fix that
soon.
The shell scripts all reside in the $PGDATA directory and work like
this:
1) The main shell script is called by the pg_autotune executable, and
all it does is adjust the settings for a couple of variables in the
postgresql.conf file. At present the variables it adjusts are
max_connections, sort_mem, vacuum_mem and shared_buffers. Others could
definitely be added in, but this is a start. The method used for
adjusting the variables is to have a template postgresql.conf file with
tokens for the settings to be replaced, and then parsing them with sed
or awk or something. Can't remember offhand how, but I do remember it
was a quick&ugly hack. :-/ Needs to be done properly down the track.
2) Restarts the PostgreSQL database (pg_ctl stop; pg_ctl start). Sure,
long approach, but it works reliably. :)
3) The second shell script exists only to catch the output from the
"pg_ctl start" command and then exit, as if you don't pipe the output to
a valid process then the "pg_ctl start" doesn't appear to work
properly. This was the only way I could see that would consistently
work and not leave open filehandles around.
> 5) We need installation docs. I can write these. Sometime soon, really!
Cool. Lets do it. :)
> Questions & Suggestions for Enhancement:
>
> 6) The shared_buffers param is capped at 500. Isn't this awfully low for a
> production server? What's the logic here?
They're just values that were ok to test with whilst making the program
work.
> 7) Any ideas on how to get around/adjust memory maximums for the host OS?
> This is easy on Linux, but other *nixes are not so easy.
Probably the best approach initially is to detect memory failure related
errors where possible and then advise the user how to adjust them.
Pointing to the relevant section of the PostgreSQL manual in the
PostgreSQL Interactive Docs might be the way to go here.
> 8) What will be the difficulties in expanding the script to adjust more
> Postgresql.conf params, such as checkpoint_segments? Can we use feedback
> from the log to adjust these?
Good idea. As this tool is a reasonably brute force tester, the more
parameters added could increase the time needed for testing, unless
someone comes up with some bright ideas. :)
> 9) I *love* the idea of letting the benchmarking script run custom queries.
> However, I would dearly like to expand it, letting it randomly grab from a
> list of 10 custom queries entered by the user into a file or files. This
> would allow the user to create a realistic mix of simple and complex queries,
> including some data manipulation and procedures.
Hey good idea. The section of the code in place for letting the user
run custom queries isn't yet finished, but it wouldn't take a
half-decent coder long to do.
> 10) Can we eventually adjust the program to get feedback from system tools and
> give the user hints on hardware limitations? For example, have the program
> test if, at maximum settings, queries are slow but CPU and RAM are only 10%
> utilized and tell the user "Your hard drives are probably too slow"?
Very good thought, and very worthwhile. Any idea how to start with it?
> I can help with: documentation, shell scripting, Linux system issues. Other
> volunteers to help?
Hopefully.
:)
Regards and best wishes,
Justin Clift
> --
> -Josh Berkus
> Aglio Database Solutions
> San Francisco
>
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