What tools and indexes should I use to optimize PostgreSQL query performance for our high-traffic reporting dashboard?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What tools and indexes should I use to optimize PostgreSQL query performance for our high-traffic reporting dashboard?
1 real search · 1 real-search pass
PostgreSQL official documentation indexes multicolumn partial covering BRIN EXPLAIN ANALYZE pg_stat_statements materialized viewsGoogle ↗
OBSERVEDOther / navigational
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 indexes multicolumn partial covering BRIN EXPLAIN ANALYZE pg_stat_statements materialized views Google ↗
- PostgreSQL: Documentation: 18: 11.3. Multicolumn Indexes · postgresql.org
- Index-only scans · wiki.postgresql.org
- PostgreSQL: Documentation: 15: Chapter 11. Indexes · postgresql.org
- Query Optimization · supabase.com
- PostgreSQL: Documentation: 18: Chapter 11. Indexes · postgresql.org
- PostgreSQL: Documentation: 17: ANALYZE · postgresql.org
- PostgreSQL: Documentation: 18: 14.1. Using EXPLAIN · postgresql.org
- PostgreSQL: Documentation: 18: EXPLAIN · postgresql.org
- PostgreSQL: Documentation: 18: F.3. auto_explain · postgresql.org
- PostgreSQL: Documentation: 18: F.32. pg_stat_statements — track statistics of SQL planning and execution · postgresql.org