I need to perform a query 2.5 million times. This query generates some rows which I need to AVG(column)
and then use this AVG
to filter the table f
Temporary tables provide only one guarantee - they are dropped at the end of the session. For a small table you'll probably have most of your data in the backing store. For a large table I guarantee that data will be flushed to disk periodically as the database engine needs more working space for other requests.
EDIT: If you're absolutely in need of RAM-only temporary tables you can create a table space for your database on a RAM disk (/dev/shm works). This reduces the amount of disk IO, but beware that it is currently not possible to do this without a physical disk write; the DB engine will flush the table list to stable storage when you create the temporary table.
Please note that, in Postgres, the default behaviour for temporary tables is that they are not automatically dropped, and data is persisted on commit. See ON COMMIT.
Temporary table are, however, dropped at the end of a database session:
Temporary tables are automatically dropped at the end of a session, or optionally at the end of the current transaction.
There are multiple considerations you have to take into account:
DROP
a temporary table at the end of a transaction, create it with the CREATE TEMPORARY TABLE ... ON COMMIT DROP
syntax.CREATE
, you should drop your temporary tables -- either prior to returning a connection to the pool (e.g. by doing everything inside a transaction and using the ON COMMIT DROP
creation syntax), or on an as-needed basis (by preceding any CREATE TEMPORARY TABLE
statement with a corresponding DROP TABLE IF EXISTS
, which has the advantage of also working outside transactions e.g. if the connection is used in auto-commit mode.)postgresql.conf
auto_vacuum
).Also, unrelated to your question (but possibly related to your project): keep in mind that, if you have to run queries against a temp table after you have populated it, then it is a good idea to create appropriate indices and issue an ANALYZE
on the temp table in question after you're done inserting into it. By default, the cost based optimizer will assume that a newly created the temp table has ~1000 rows and this may result in poor performance should the temp table actually contain millions of rows.