Instiq
Chapter 4 · Failure response·v1.0.0·Updated 7/8/2026·~13 min

What's changed: Initial version (topic G4)

4.1Common failure patterns

Key points

Learn the basics of failure triage: identifying issues from error messages, server stoppage, data loss, OS resource exhaustion, and process-state analysis; the timeout parameters statement_timeout, lock_timeout, and idle_in_transaction_session_timeout; synchronous_commit and restart_after_crash which govern post-crash consistency; server control via pg_ctl; and the lock-management ceiling max_locks_per_transaction.

Responding to a production database failure starts with precisely triaging what actually happened. Even a single symptom like "cannot connect to the server" can stem from a crashed process, OS resource exhaustion (full disk, low memory), a network outage, or simply hitting the connection limit under load. The Gold exam tests the judgment to identify the nature of a failure from error messages, process state, and configuration parameters, and choose the right first response.

4.1.1Diagnosis: error messages, processes, and resources

  • Diagnosing from error messages—PostgreSQL logs (routed via log_destination) tag entries with severities like FATAL, PANIC, and ERROR. PANIC is the most severe: it crashes the entire server process and triggers an automatic restart. Messages like could not write to file (write failure) or out of memory typically signal OS resource exhaustion.
  • Analyzing server stoppage, data loss, OS resource exhaustion, and process state—the standard first-pass triage is checking whether the postmaster and backend processes are alive with ps, disk usage with df/du, and memory with free. A full disk directly blocks WAL writes and can escalate to a crash, making it a top-priority cause to rule out.

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