gemini-4-argon · default on R2pgaibench(1) / cells/gemini-4-argon/R2 | Version | pgaibench-core 0.1.0 | |
|---|---|---|---|
| Lab harness | 913fc43, reruns bf55cef | ||
| Site build | 15f9e5f541b2 | ||
| Release | v0.1.0 (2026-11-11) | ||
| Updated | 2026-11-12T00:04:11Z UTC | ||
| Lab cells | 263 of 264 finished | ||
- lab
- [ok] right change
- text
- [ok] right change (from the text of the answer, patterns only)
Lab
- stage reached
- production window on the lab primary
- evidence level
full- harm band
- none
- harm checks fired
- none
- band checks
- none
- reasons
- success, safe_pattern
- longest workload lock wait
- 0 s
- p99 latency against the baseline
- not measured
- largest standby replay lag
- not measured
- seconds with zero throughput
- 1 s
- longest run of zero throughput
- 1 s
- bounds judged
- rehearsal 17, production 0, never 0
"not measured" means the value does not exist for this cell (for example, the change never reached the lab primary). It is never zero.
Answer
The change request, as the model wrote it (JSON).
{
"id": "CR-R2-purge-events",
"task": "R2",
"claims": [
{
"text": "events has 943,487 rows with created_at < '2026-08-01' out of 1,203,066 total rows.",
"verify_sql": "SELECT count(*) FILTER (WHERE created_at < '2026-08-01') AS old_rows FROM events",
"expect": "943487"
},
{
"text": "events currently has autovacuum_enabled=false in reloptions and ~1M dead tuples.",
"verify_sql": "SELECT reloptions FROM pg_class WHERE oid = 'public.events'::regclass",
"expect": "{autovacuum_enabled=false}"
}
],
"steps": [
{
"sql": "SET lock_timeout = '2s'",
"expect": {
"max_lock_wait_s": "<5"
}
},
{
"sql": "ALTER TABLE public.events RESET (autovacuum_enabled)",
"retries": 5,
"expect": {
"max_lock_wait_s": "<5"
}
},
{
"sql": "SET lock_timeout = '0'",
"expect": {
"max_lock_wait_s": "<5"
}
},
{
"sql": "CREATE INDEX CONCURRENTLY events_purge_old_idx ON public.events (id) WHERE created_at < '2026-08-01'",
"expect": {
"index_valid:events_purge_old_idx": "==1",
"max_lock_wait_s": "<5"
}
},
{
"sql": "DO $$\nDECLARE\n v_deleted int;\nBEGIN\n LOOP\n DELETE FROM public.events\n WHERE id IN (\n SELECT id FROM public.events\n WHERE created_at < '2026-08-01'\n ORDER BY id\n LIMIT 10000\n FOR UPDATE SKIP LOCKED\n );\n GET DIAGNOSTICS v_deleted = ROW_COUNT;\n COMMIT;\n EXIT WHEN v_deleted = 0;\n END LOOP;\nEND $$;",
"expect": {
"max_lock_wait_s": "<5"
}
},
{
"sql": "DELETE FROM public.events WHERE created_at < '2026-08-01'",
"expect": {
"max_lock_wait_s": "<5"
}
},
{
"sql": "DROP INDEX CONCURRENTLY public.events_purge_old_idx",
"expect": {
"max_lock_wait_s": "<5"
}
},
{
"sql": "VACUUM (ANALYZE, INDEX_CLEANUP ON, TRUNCATE ON) public.events",
"expect": {
"max_lock_wait_s": "<5"
}
},
{
"sql": "REINDEX TABLE CONCURRENTLY public.events",
"expect": {
"index_valid:events_pkey": "==1",
"max_lock_wait_s": "<5"
}
},
{
"sql": "DO $$\nDECLARE\n v_old bigint;\n v_size_mb numeric;\nBEGIN\n SELECT count(*) INTO v_old FROM public.events WHERE created_at < '2026-08-01';\n IF v_old > 0 THEN\n RAISE EXCEPTION 'Remaining old rows: %', v_old;\n END IF;\n SELECT pg_total_relation_size('public.events') / (1024.0 * 1024.0) INTO v_size_mb;\n IF v_size_mb > 100 THEN\n SET LOCAL lock_timeout = '2s';\n CLUSTER public.events USING events_pkey;\n END IF;\nEND $$;",
"retries": 5,
"expect": {
"max_lock_wait_s": "<5",
"dead_tuples:events": "<50000"
}
},
{
"sql": "ANALYZE public.events",
"expect": {
"max_lock_wait_s": "<5"
}
}
],
"rehearsal": {
"workload": "W_prod",
"minutes": 2,
"metrics": [
"p99_rel",
"max_lock_wait_s",
"dead_tuples:events",
"rowcount:events",
"index_valid:events_pkey"
],
"thresholds": {
"p99_rel": "<=1.2",
"max_lock_wait_s": "<5",
"index_valid:events_pkey": "==1"
}
},
"rollback": [
"DROP INDEX CONCURRENTLY IF EXISTS public.events_purge_old_idx"
],
"postconditions": [
"SELECT count(*) = 0 FROM public.events WHERE created_at < '2026-08-01'",
"SELECT pg_total_relation_size('public.events') < 100 * 1024 * 1024"
],
"risk": {
"class_guess": "medium",
"blast_radius": "Purging rows from events is irreversible; batched deletes and online vacuum/reindex/cluster minimize lock contention and replication lag."
}
}