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PostgreSQL Interview Questions

Prepare for PostgreSQL technical interviews with commonly asked questions on internals, transactions, indexing, and troubleshooting.

PracticeIntermediate10 min readJul 10, 2026
Analogies

MVCC and Transaction Isolation

Interviewers frequently probe understanding of Multi-Version Concurrency Control (MVCC), PostgreSQL's mechanism for letting readers and writers avoid blocking each other by keeping multiple row versions and using each transaction's snapshot to decide which version is visible. A strong answer explains that PostgreSQL supports four SQL standard isolation levels (Read Committed, the default; Repeatable Read; Serializable; and Read Uncommitted, which behaves like Read Committed since PostgreSQL has no true dirty reads), and that dead row versions left behind by MVCC are eventually reclaimed by VACUUM.

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Cricket analogy: A stadium showing different replay angles to different broadcasters simultaneously without interrupting the live feed for anyone mirrors MVCC letting each transaction see its own consistent snapshot without blocking others.

VACUUM, Bloat, and Autovacuum

Because MVCC leaves dead tuples behind after UPDATE and DELETE operations, PostgreSQL relies on VACUUM to reclaim that space for reuse (VACUUM FULL rewrites the table to reclaim disk space back to the OS but takes an exclusive lock, while plain VACUUM reclaims space for reuse within the table without blocking). A candidate should be able to explain autovacuum — the background process that runs VACUUM and ANALYZE automatically based on configurable thresholds — and describe symptoms of table bloat: growing table size despite stable row counts, and slower sequential scans due to visiting dead tuples.

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Cricket analogy: A groundskeeper regularly clearing debris from the outfield between overs (routine VACUUM) versus a full pitch relay that takes the ground out of use for days (VACUUM FULL) mirrors the two vacuum strategies.

sql
-- Check for table bloat and dead tuple counts
SELECT relname, n_live_tup, n_dead_tup,
       last_vacuum, last_autovacuum
FROM pg_stat_user_tables
ORDER BY n_dead_tup DESC
LIMIT 10;

-- Manually trigger vacuum and refresh stats on one table
VACUUM (VERBOSE, ANALYZE) orders;

-- Reclaim disk space back to the OS (locks the table)
VACUUM FULL orders;

A common interview follow-up is: 'why can't PostgreSQL just delete rows immediately on DELETE?' The answer is that other concurrent transactions may still need to see the old row version under MVCC, so deletion is deferred until VACUUM confirms no active transaction can see it.

Common Troubleshooting Scenarios

Interviewers often present a scenario like 'a query that used to be fast is now slow after a large data load' and expect the candidate to walk through checking pg_stat_activity for blocking locks, running EXPLAIN ANALYZE to compare the plan against expectations, checking whether autovacuum is keeping up (via n_dead_tup and last_autovacuum), and verifying statistics freshness with ANALYZE. Another classic scenario is diagnosing connection exhaustion, where the fix involves understanding max_connections, connection pooling (e.g., PgBouncer), and identifying idle-in-transaction sessions holding connections and locks unnecessarily.

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Cricket analogy: A team debugging why a bowler who used to be effective is now getting hit everywhere reviews match footage, pitch conditions, and recent form data systematically, just as a DBA systematically checks locks, plans, and statistics rather than guessing.

Idle-in-transaction sessions are a classic interview 'gotcha' — they hold open snapshots and can block VACUUM from reclaiming dead tuples cluster-wide, even if the session isn't actively running a query.

  • MVCC lets readers and writers avoid blocking each other by giving each transaction a consistent snapshot of row versions.
  • PostgreSQL supports Read Committed (default), Repeatable Read, and Serializable isolation levels; Read Uncommitted behaves like Read Committed.
  • VACUUM reclaims dead tuple space for reuse; VACUUM FULL reclaims disk space back to the OS but locks the table.
  • Autovacuum runs VACUUM and ANALYZE automatically based on configurable dead-tuple thresholds.
  • Table bloat shows up as growing table size with stable row counts and slower sequential scans.
  • Idle-in-transaction sessions can block VACUUM from reclaiming space cluster-wide.
  • Systematic troubleshooting (locks, EXPLAIN ANALYZE, vacuum/statistics status) beats guessing at root causes.

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