Hello Postgres Hackers An application that I am developing uses Postgresql, and includes a fairly large number of partitioned tables which are used to store time series data.
The tables are partitioned by time, and typically there is only one partition at a time - the current partition - that is actually being updated. Older partitions are available for query and eventually dropped. As per the documentation, partitioned tables are not analyzed by the autovacuum workers, although their partitions are. Statistics are needed on the partitioned table level for at least some query planning activities. The problem is that giving an ANALYZE command targeting a partitioned table causes it to update statistics for the partitioned table AND all the individual partitions. There is currently no option to prevent it from including the partitions. This is wasteful for our application: for one thing the autovacuum has already analyzed the individual partitions; for another most of the partitions will have had no changes, so they don't need to be analyzed repeatedly. I took some measurements when running ANALYZE on one of our tables. It took approx 4 minutes to analyze the partitioned table, then 29 minutes to analyze the partitions. We have hundreds of these tables, so the cost is very significant. For my use case at least it would be fantastic if we could add an ONLY option to ANALYZE, which would cause it to analyze the named table only and not descend into the partitions. I took a look at the source and it looks doable, but before launching into it I thought I would ask a few questions here. 1. Would such a feature be welcomed? Are there any traps I might not have thought of? 2. The existing ANALYZE command has the following structure: ANALYZE [ ( option [, ...] ) ] [ table_and_columns [, ...] ] It would be easiest to add ONLY as another option, but that doesn't look quite right to me - surely the ONLY should be attached to the table name? An alternative would be: ANALYZE [ ( option [, ...] ) ] [ONLY] [ table_and_columns [, ...] ] Any feedback or advice would be great. Regards Mike.