Missing Index Query Degradation
partialContainedoperational failure · isolated propagation
Blast Radius
0%
0/18 nodes
Time to Detect
If pg_stat_statements or auto_explain is configured with slow query logging, detectable within seconds of the first slow query. Without tooling, detected through user-visible latency spikes or alert firing: typically minutes.
Preventive Mitigations
2
Confidence
StrongFailure Cascade
(no topology nodes mapped for this failure mode)
This failure mode is referenced in the scenario knowledge but has no connected topology nodes. Impact scope is scenario-level, all components should be considered potentially affected.
Severity at this step: partial
Detection Signals
Recovery time estimate: Index creation via CREATE INDEX CONCURRENTLY: minutes to hours depending on table size. A 100M-row table may take 30–60 minutes. Queries will continue to be slow during index creation. After creation, performance improves immediately.
Mitigation Checklist(2 preventive, 2 reactive)
Add a step in the migration review process that lists all indexes being dropped. For each dropped index, verify which queries use it (pg_stat_statements, code search) before proceeding. Index renames must be handled as add-then-drop.
EXPLAIN (ANALYZE) the slow query to confirm it is doing a sequential scan. CREATE INDEX CONCURRENTLY does not block reads or writes and is safe for production. For multi-column indexes, column order matters: put equality conditions before range conditions.
SET auto_explain.log_min_duration = '1s'; logs the full query plan for any query exceeding 1 second. This identifies missing indexes before they become severe by catching slow queries early when tables are smaller.
SELECT query, total_exec_time, calls, rows FROM pg_stat_statements ORDER BY total_exec_time DESC LIMIT 20; identifies the queries consuming the most cumulative time: these are the candidates for index optimization. Reset stats after index changes to measure improvement.
Affected Systems
Workloads
Blast radius analysis is derived from structured topology and failure mode knowledge. It models structural propagation patterns, not measured production behavior. Actual incident scope depends on runtime conditions, traffic, and recovery actions in place at the time of failure.