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How do I analyze slow query logs in PostgreSQL 15 to identify missing indexes in a multi-tenant SaaS database with over fifty gigabytes of data?

ChatGPTgpt-61 query11/1/2026
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The searches the AI actually ran for this prompt.

SEED QUERY
How do I analyze slow query logs in PostgreSQL 15 to identify missing indexes in a multi-tenant SaaS database with over fifty gigabytes of data?
1 real search · 1 real-search pass
PostgreSQL 15 documentation pg_stat_statements EXPLAIN ANALYZE CREATE INDEX CONCURRENTLY multicolumn indexes extended statisticsGoogle ↗
OBSERVED

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

Classifying 1 queries…

Searches and sources

ChatGPT1 real searches · gpt-6
PostgreSQL 15 documentation pg_stat_statements EXPLAIN ANALYZE CREATE INDEX CONCURRENTLY multicolumn indexes extended statistics Google ↗

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
PostgreSQL 15 documentation pg_stat_statements EXPLAIN ANALYZE CREATE INDEX CONCURRENTLY multicolumn indexes extended statistics
OBSERVED
Google ↗
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