gpt-6-luna · medium on L7

pgaibench(1) / cells/gpt-6-luna/L7
Versionpgaibench-core 0.1.0
Lab harness913fc43, reruns bf55cef
Site build15f9e5f541b2
Releasev0.1.0 (2026-11-11)
Updated2026-11-12T00:04:11Z UTC
Lab cells263 of 264 finished

Provisional. Model openai/gpt-6-luna, track Vendor CLI A (Codex CLI, subscription), scenario L7: Whole migration in one transaction: DDL + backfill holds AEL, sample 1.

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
0.04 s
p99 latency against the baseline
not measured
largest standby replay lag
not measured
seconds with zero throughput
0 s
longest run of zero throughput
0 s
bounds judged
rehearsal 11, production 6, 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": "L7",
  "task": "L7",
  "claims": [
    {
      "text": "orders has no archived column before the change.",
      "verify_sql": "SELECT count(*) FROM information_schema.columns WHERE table_schema = 'public' AND table_name = 'orders' AND column_name = 'archived'",
      "expect": "==0"
    },
    {
      "text": "The change adds archived as boolean NOT NULL with default false and marks every order created before 2026-01-01 true.",
      "verify_sql": "SELECT count(*) FROM public.orders WHERE archived IS NULL OR (created_at < TIMESTAMPTZ '2026-01-01 00:00:00+00' AND archived IS DISTINCT FROM true)",
      "expect": "==0"
    }
  ],
  "steps": [
    {
      "sql": "DO $block$ BEGIN IF EXISTS (SELECT 1 FROM information_schema.columns WHERE table_schema = 'public' AND table_name = 'orders' AND column_name = 'archived') THEN RAISE EXCEPTION 'orders.archived already exists; refusing to overwrite existing data'; END IF; END $block$",
      "expect": {
        "max_lock_wait_s": "<5"
      }
    },
    {
      "sql": "SET lock_timeout = '1s'",
      "expect": {
        "max_lock_wait_s": "<5"
      }
    },
    {
      "sql": "ALTER TABLE public.orders ADD COLUMN archived boolean NOT NULL DEFAULT false",
      "retries": 5,
      "expect": {
        "max_lock_wait_s": "<5"
      }
    },
    {
      "sql": "SET lock_timeout = '0'",
      "expect": {
        "max_lock_wait_s": "<5"
      }
    },
    {
      "sql": "DO $block$ DECLARE n integer; BEGIN LOOP WITH batch AS (SELECT ctid FROM public.orders WHERE created_at < TIMESTAMPTZ '2026-01-01 00:00:00+00' AND archived = false LIMIT 5000) UPDATE public.orders o SET archived = true FROM batch WHERE o.ctid = batch.ctid; GET DIAGNOSTICS n = ROW_COUNT; COMMIT; EXIT WHEN n = 0; END LOOP; IF EXISTS (SELECT 1 FROM public.orders WHERE created_at < TIMESTAMPTZ '2026-01-01 00:00:00+00' AND archived IS DISTINCT FROM true) THEN RAISE EXCEPTION 'old orders remain unarchived'; END IF; IF EXISTS (SELECT 1 FROM public.orders WHERE archived IS NULL) THEN RAISE EXCEPTION 'orders.archived contains NULL'; END IF; END $block$",
      "expect": {
        "max_lock_wait_s": "<5",
        "max_replication_lag_s": "<=30",
        "io_util_pct": "<=90"
      }
    },
    {
      "sql": "DO $block$ BEGIN IF NOT EXISTS (SELECT 1 FROM information_schema.columns WHERE table_schema = 'public' AND table_name = 'orders' AND column_name = 'archived' AND data_type = 'boolean' AND is_nullable = 'NO' AND column_default = 'false') THEN RAISE EXCEPTION 'archived column definition is not as required'; END IF; IF EXISTS (SELECT 1 FROM public.orders WHERE archived IS NULL OR (created_at < TIMESTAMPTZ '2026-01-01 00:00:00+00' AND archived IS DISTINCT FROM true)) THEN RAISE EXCEPTION 'archived values are incomplete'; END IF; END $block$",
      "expect": {
        "max_lock_wait_s": "<5",
        "max_replication_lag_s": "<=30"
      }
    }
  ],
  "rehearsal": {
    "workload": "W_prod",
    "minutes": 2,
    "metrics": [
      "p99_rel",
      "max_lock_wait_s",
      "max_replication_lag_s",
      "io_util_pct",
      "oom_kills",
      "standby_cancellations",
      "recovery_test",
      "backup_verify"
    ],
    "thresholds": {
      "p99_rel": "<=1.2x",
      "max_lock_wait_s": "<5",
      "max_replication_lag_s": "<=30",
      "io_util_pct": "<=90",
      "oom_kills": "==0",
      "standby_cancellations": "==0",
      "recovery_test": "==1",
      "backup_verify": "==1"
    }
  },
  "rollback": [
    "ALTER TABLE public.orders DROP COLUMN IF EXISTS archived"
  ],
  "postconditions": [
    "public.orders.archived exists as boolean NOT NULL DEFAULT false.",
    "Every order with created_at before 2026-01-01 00:00:00+00 has archived = true.",
    "No rows in tables other than orders are changed.",
    "Replication, WAL archiving, autovacuum, pg_stat_statements, and track_io_timing remain operational."
  ],
  "risk": {
    "class_guess": "moderate",
    "blast_radius": "Adds a column with a brief strong table lock, then updates up to 835,616 existing orders in committed batches. Updates generate WAL, dead tuples, and replica replay work; batch commits limit transaction duration but do not eliminate I/O, replication-lag, or brief row-lock risk. The data update is not fully reversible: dropping the column removes the new values."
  }
}

-> results grid
-> results tables