I need to speed up a slow API endpoint in our web app. How do I analyze PostgreSQL execution plans to find missing indexes?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I need to speed up a slow API endpoint in our web app. How do I analyze PostgreSQL execution plans to find missing indexes?
1 real search · 1 real-search pass
PostgreSQL official documentation EXPLAIN ANALYZE BUFFERS indexes multicolumn indexes partial indexesGoogle ↗
OBSERVEDReason
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.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
PostgreSQL official documentation EXPLAIN ANALYZE BUFFERS indexes multicolumn indexes partial indexes Google ↗
- PostgreSQL : Documentation: 18: ANALYZE : Postgres Professional · postgrespro.com
- Introduction to VACUUM, ANALYZE, EXPLAIN, and COUNT · wiki.postgresql.org
- PostgreSQL: Documentation: 18: Chapter 11. Indexes · postgresql.org
- PostgreSQL: Documentation: 18: 11.3. Multicolumn Indexes · postgresql.org
- Efficient Use of PostgreSQL Indexes · devcenter.heroku.com
- Open Depesz · explain.depesz.com
- Open pgMustard · pgmustard.com
- Open PEV2 · explain.dalibo.com