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Query Doctor Analysis
83 queries analyzed
This PR has regressions on queries
SELECT "guests"."id", "guests"."session_id", "guests"."username", "guests"."avatar_path", "guests"."color", "guests"."side", "guests"."audio_recording_path", "guests"."audio_recording_public", "gue...
cost 14,347 → 31,535,754 (+219700%)SELECT * FROM guest_ip_addresses WHERE ip_address = '127.0.0.1';
cost 126 → 253,083 (+200760%)
2 pre-existing issues
SELECT "guests"."id", "guests"."session_id", "guests"."username", "guests"."avatar_path", "guests"."color", "guests"."side", "guests"."audio_recording_path", "guests"."audio_recording_public", "gue...
indexassets(event_id, inserted_at desc)
cost 31,535,754 → 1,487 (100% reduction)SELECT * FROM guest_ip_addresses WHERE ip_address = '127.0.0.1';
indexguest_ip_addresses(ip_address)
cost 253,083 → 8 (100% reduction)
Using assumed statistics (10000000 rows/table). For better results, sync production stats.
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This fixes the costing in CI by always assuming 10M rows with 5000 pages. The assumption is not ideal but it's high enough to give good cost values. This way we don't go through the inference check (10k rows or use source values) either