POSTGRESQL ANALYZE UPDATE

Query | update events set field1 = $1, field2 = $2, field3= $3, field4 = $4, field5 =$5 where id = $6 I am using like this SELECT * FROM pg_stat_statements ORDER BY total_time DESC

POSTGRESQL ANALYZE INSTALL

Thanks to jjanes, i was able to install Track_io_timing and also identified a few queries where indexes can be added. Now i am trying to identify the slow queries. So i had to execute VACUUM FULL ANALYZE, as i didnt see any other way. So i have also reindexed the 15 largest tables, in order to confirm if this would speed up the database. I know that VACUUM FULL copies the data from the old table to a new tables and deletes the old table. Even when i run simple VACUUM on the whole database and then run ANALYZE after it, it still doesn't give the kind of performance boost that we get from VACUUM FULL ANALYZE. If you’d prefer an hour-long talk, EXPLAIN Explained by Josh Berkus is excellent. With no parameter, ANALYZE examines every table in the current database. The PostgreSQL documentation includes a good but brief introduction to using EXPLAIN, and Thoughbot’s article on reading EXPLAIN ANALYZE is a good next step. Subsequently, the query planner uses these statistics to help determine the most efficient execution plans for queries. There was no performance gains after running this. Description ANALYZE collects statistics about the contents of tables in the database, and stores the results in the pgstatistic system catalog. I came up with the idea that we don't need a VACUUM FULL and we can just run ANALYZE on the database as it can run in parallel, but this didn't work. Antes de PostgreSQL 9.0, la sintaxis sin paréntesis era la única compatible. But we have to put our server in maintenance mode and then perform this operation every week which is a pain. ROLLBACK Solo se pueden especificar las opciones ANALYZE y VERBOSE, y solo en ese orden, sin rodear la lista de opciones entre paréntesis.

The problem is that almost after 1 week or 10 days of use the database becomes extremely slow, therefore we have to perform VACUUM FULL ANALYZE, and after this everything goes back to normal. The server receives around 300-400 new records every second. So the server is more powerful than we normally need.

The database server is a dedicated server with 64 cores, 128 GB RAM running ubuntu and postgres 12. I have a large database with the largest tables having more than 30 million records.

Postgresql analyze