See and clear Postgres caches/buffers?

PostgresqlCachingOptimization

Postgresql Problem Overview


Sometimes I run a Postgres query and it takes 30 seconds. Then, I immediately run the same query and it takes 2 seconds. It appears that Postgres has some sort of caching. Can I somehow see what that cache is holding? Can I force all caches to be cleared for tuning purposes?

I'm basically looking for a Postgres version of the following SQL Server command:

DBCC FREEPROCCACHE
DBCC DROPCLEANBUFFERS

But I would also like to know how to see what is actually contained in that buffer.

Postgresql Solutions


Solution 1 - Postgresql

You can see what's in the PostgreSQL buffer cache using the pg_buffercache module. I've done a presentation called "Inside the PostgreSQL Buffer Cache" that explains what you're seeing, and I show some more complicated queries to help interpret that information that go along with that.

It's also possible to look at the operating system cache too on some systems, see [pg_osmem.py] for one somewhat rough example.

There's no way to clear the caches easily. On Linux you can stop the database server and use the drop_caches facility to clear the OS cache; be sure to heed the warning there to run sync first.

Solution 2 - Postgresql

I haven't seen any commands to flush the caches in PostgreSQL. What you see is likely just normal index and data caches being read from disk and held in memory. by both postgresql and the caches in the OS. To get rid of all that, the only way I know of:

What you should do is:

  1. Shutdown the database server (pg_ctl, sudo service postgresql stop, sudo systemctl stop postgresql, etc.)
  2. echo 3 > /proc/sys/vm/drop_caches This will clear out the OS file/block caches - very important though I don't know how to do that on other OSs. (In case of permission denied, try sudo sh -c "echo 3 > /proc/sys/vm/drop_caches" as in that question)
  3. Start the database server (e.g. sudo service postgresql start, sudo systemctl start postgresql)

Solution 3 - Postgresql

Greg Smith's answer about drop_caches was very helpful. I did find it necessary to stop and start the postgresql service, in addition to dropping the caches. Here's a shell script that does the trick. (My environment is Ubuntu 14.04 and PostgreSQL 9.3.)

#!/usr/bin/sudo bash

service postgresql stop
sync
echo 3 > /proc/sys/vm/drop_caches
service postgresql start

I tested with a query that took 19 seconds the first time, and less than 2 seconds on subsequent attempts. After running this script, the query once again took 19 seconds.

Solution 4 - Postgresql

I use this command on my linux box:

sync; /etc/init.d/postgresql-9.0 stop; echo 1 > /proc/sys/vm/drop_caches; /etc/init.d/postgresql-9.0 start

It completely gets rid of the cache.

Solution 5 - Postgresql

I had this error.

> psql:/cygdrive/e/test_insertion.sql:9: ERROR: type of parameter 53 > (t_stat_gardien) does not match that when preparing the plan > (t_stat_avant)

I was looking for flushing the current plan and a found this:

DISCARD PLANS

I had this between my inserts and it solves my problem.

Solution 6 - Postgresql

Yes, postgresql certainly has caching. The size is controlled by the setting shared_buffers. Other than that, there is as the previous answer mentions, the OS file cache which is also used.

If you want to look at what's in the cache, there is a contrib module called pg_buffercache available (in contrib/ in the source tree, in the contrib RPM, or wherever is appropriate for how you installed it). How to use it is listed in the standard PostgreSQL documentation.

There are no ways to clear out the buffer cache, other than to restart the server. You can drop the OS cache with the command mentioned in the other answer - provided your OS is Linux.

Solution 7 - Postgresql

Yes, it is possible to clear both the shared buffers postgres cache AND the OS cache. Solution bellow is for Windows... others have already given the linux solution.

As many people already said, to clear the shared buffers you can just restart Postgres (no need to restart the server). But just doing this won't clear the OS cache.

To clear the OS cache used by Postgres, after stopping the service, use the excelent RamMap (https://technet.microsoft.com/en-us/sysinternals/rammap), from the excelent Sysinternals Suite. Once you execute RamMap, just click "Empty"->"Empty Standby List" in the main menu.

Restart Postgres and you'll see now your next query will be damm slow due to no cache at all.

You can also execute the RamMap without closing Postgres, and probably will have the "no cache" results you want, since as people already said, shared buffers usually gives little impact compared to the OS cache. But for a reliable test, I would rather stop postgres as all before clearing the OS cache to make sure.

Note: AFAIK, I don't recommend clearing the other things besides "Standby list" when using RamMap, because the other data is somehow being used, and you can potentially cause problems/loose data if you do that. Remember that you are clearing memory not only used by postgres files, but any other app and OS as well.

Regards, Thiago L.

Solution 8 - Postgresql

this is my shortcut

echo 1 > /proc/sys/vm/drop_caches; echo 2 > /proc/sys/vm/drop_caches; echo 3 > /proc/sys/vm/drop_caches; rcpostgresql stop; rcpostgresql start;

Solution 9 - Postgresql

There is pg_buffercache module to look into shared_buffers cache. And at some point I needed to drop cache to make some performance tests on 'cold' cache so I wrote an pg_dropcache extension that does exactly this. Please check it out.

Solution 10 - Postgresql

If you have a dedicated test database, you can set the parameter: shared buffers to 16. That should disable the cache for all queries.

Solution 11 - Postgresql

The original heading was "See and Clear" buffers.

Postgres 13 with pg_buffercache extension provides a way to see doc page

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QuestionUser1View Question on Stackoverflow
Solution 1 - PostgresqlGreg SmithView Answer on Stackoverflow
Solution 2 - PostgresqlLeeeroyView Answer on Stackoverflow
Solution 3 - PostgresqlSteve SaportaView Answer on Stackoverflow
Solution 4 - PostgresqlMike StarovView Answer on Stackoverflow
Solution 5 - PostgresqlLuc MView Answer on Stackoverflow
Solution 6 - PostgresqlMagnus HaganderView Answer on Stackoverflow
Solution 7 - PostgresqlThiago Linhares de OliveiraView Answer on Stackoverflow
Solution 8 - PostgresqlwutzebaerView Answer on Stackoverflow
Solution 9 - PostgresqlIldar MusinView Answer on Stackoverflow
Solution 10 - PostgresqlCharlie ChenView Answer on Stackoverflow
Solution 11 - PostgresqlSumit SView Answer on Stackoverflow