Neon Support often receives support tickets related to Postgres query performance. Such issues could result from a myriad of factors ranging from missing indexes or lack of database maintenance to ineffective queries and joins or system resource limitations. Where should you start when trying to get to the bottom of an issue with such a […]

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Bobby Iliev

DevOps

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Poor Postgres query performance can stem from various issues like missing indexes, inefficient queries, or system resource limitations. Key strategies for investigation include using the pg_stat_statements extension for query analysis, checking cache hit ratios, and addressing table and index bloat. PgHero is introduced as a visual tool for monitoring and analyzing query performance. The post guides on installing and using these tools to optimize query performance.

Postgres Support Recap: Investigating Postgres Query Performance

Strategy 1: Analyzing query performance with pg_stat_statements

Strategy 2: Checking your cache hit ratio

Strategy 3: Checking for table or index bloat

PgHero: A Performance Dashboard for Postgres