> Index Only Scan using new_products_pkey on new_products (cost=.74 rows=23 width=10) (actual time=0.027.0. ![]() Viewed 4k times 1 Im trying to run an update on a table with 10 million rows (I just need to update a few), but the query is taking more time than I would like. No matter where you are running production PostgreSQLon a VM or with PaaS in the cloudat a high level there are four key system metrics to keep your eye on: CPU, memory, IO, and storage used. When multiple CPU threads keep spinning (in a while loop) for a resource. This post has been republished via RSS it originally appeared at: New blog articles in Microsoft Tech Community. Ask Question Asked 2 years, 3 months ago. Here are some cases we met that cause high CPU usage of Postgres. > Seq Scan on products (cost=514.35 rows=207206 width=38) (actual time=0.055.836.217 rows=411150 loops=1)įilter: ((active > (-30)) AND (NOT (hashed SubPlan 1)) AND (feed = 'xxxxxxxx'::text)) Postgresql update slow on a relative small/medium table. This spike always occurs at 23:30 UTC and lasts for about 30 minutes before tapering off to half the intensity, then are gone completely by 00:30. Missing_products table_name text not null,Įxplain - This has an extra field in the where clause but should give a good idea. Weve been experiencing huge CPU usage spikes on our Postgres 9.6 AWS RDS so the point weve had to upgrade to a cost prohibitive instance just to handle these once daily spikes. I have the following tables with a structure something like what follows. ![]() I did also rewrite out this query to have a left join instead and insert the rows where the right side is NULL but this causes the same problem with the time. I have tried an explain on it and the only thing I can see is an index only scan on new products. What causes this big difference? INSERT INTO missing_products For information about using NVMe in ESXi, see NVMe Recommendations on page 43. When running the following query, it sometimes takes 15 seconds and sometimes 90mins.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |