Well, now that I have the plan for my slow-running query, what do I do? Where
should I focus my attention?
Thanks.
-David
Hash Join (cost=16620.59..22331.88 rows=40133 width=266) (actual
time=118773.28..580889.01 rows=57076 loops=1)
- Hash Join (cost=16619.49..21628.48 rows=40133
David Shadovitz [EMAIL PROTECTED] writes:
Well, now that I have the plan for my slow-running query, what do I
do?
This is not very informative when you didn't show us the query nor
the table schemas (column datatypes and the existence of indexes
are the important parts). I have a feeling that
This is not very informative when you didn't show us the query nor
the table schemas..
BTW, what did you do with this, print and OCR it?
Tom,
I work in a classified environment, so I had to sanitize the query plan, print
it, and OCR it. I spent a lot of time fixing typos, but I guess at
David Shadovitz [EMAIL PROTECTED] writes:
If you think that you or anyone else would invest the time, I could post more
info.
I doubt you will get any useful help if you don't post more info.
I will also try Shridhar's suggestions on statistics_target and
enable_hash_join.
It seemed to me
Hi everyone,
I found that performance get worse as the size of a given table
increases. I mean, for example I´ve just run some scripts shown in
http://www.potentialtech.com/wmoran/postgresql.php
I understand that those scripts are designed to see the behavior of postgresql under
different
Some arbitrary data processing job
WAL on single drive: 7.990 rec/s
WAL on 2nd IDE drive: 8.329 rec/s
WAL on tmpfs: 13.172 rec/s
A huge jump in performance but a bit scary having a WAL that can
disappear at any time. I'm gonna workup a rsync script and do some
power-off experiments to see how
WAL on single drive: 7.990 rec/s
WAL on 2nd IDE drive: 8.329 rec/s
WAL on tmpfs: 13.172 rec/s
A huge jump in performance but a bit scary having a WAL that can
disappear at any time. I'm gonna workup a rsync script and do some
power-off experiments to see how badly it gets mangled.
Surely
Russell Garrett wrote:
WAL on single drive: 7.990 rec/s
WAL on 2nd IDE drive: 8.329 rec/s
WAL on tmpfs: 13.172 rec/s
A huge jump in performance but a bit scary having a WAL that can
disappear at any time. I'm gonna workup a rsync script and do some
power-off experiments to see how badly it gets
Manfred Spraul [EMAIL PROTECTED] writes:
One advantage of a seperate write and fsync call is better performance
for the writes that are triggered within AdvanceXLInsertBuffer: I'm not
sure how often that's necessary, but it's a write while holding both the
WALWriteLock and WALInsertLock. If
On Fri, 12 Dec 2003, Rhaoni Chiu Pereira wrote:
Hi, is there a switch in your pgsql/odbc connector to enable cursors? If
so, try turning that on.
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