Hi Jacob,
This is the same problem as being able to monitor the total number of processed queries, or the total query processing time.
The only solution I'm aware of is to set pg_stat_statements.max higher than the distinct number of normalized queries you expect.
As soon as pg_stat_statements gets above this number you lose information. To increase max you'd need a restart, which isn't ideal but I can't see any way round that.
This is the same problem as being able to monitor the total number of processed queries, or the total query processing time.
The only solution I'm aware of is to set pg_stat_statements.max higher than the distinct number of normalized queries you expect.
As soon as pg_stat_statements gets above this number you lose information. To increase max you'd need a restart, which isn't ideal but I can't see any way round that.
It wouldn't help you much - but it would be great for monitoring if there was a pg_stat_statements_agg table which presented total counters.
Cheers,
James Sewell,
PostgreSQL Team Lead / Solutions Architect
Suite 112, Jones Bay Wharf, 26-32 Pirrama Road, Pyrmont NSW 2009
On Fri, Apr 28, 2017 at 3:33 AM, Jacob Scott <jacob.scott@xxxxxxxxx> wrote:
When reviewing execution statistics, I am frequently interested in the behavior of "classes" of queries, rather than individual queries, for example queries which
- Contain a join
- Touch a specific column
- Use POSIX regular expressions
AFAIK this sort of summary/rollup information can't be computed reliably from pg_stat_statements because of rows being discarded in the face of a large number of (post normalization/jumble) distinct statements.Is there a way to retrieve these kinds of statistics in Postgres today?Thanks,Jacob
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