Lesson 69/100

Tutorials PostgreSQL Tutorial

Point-in-Time Recovery — Complete Guide

Point-in-Time Recovery — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of PostgreSQL Tutorial on Toolliyo Academy.

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PostgreSQL Tutorial · Lesson 69 of 100

Point-in-Time Recovery

SQL ✓Advanced

Advanced · 2 — Production · ~10 min · PostgreSQL — Replication & High Availability

What is this?

PITR restores base backup then replays WAL archives up to target timestamp or LSN — recover to moment before accidental DELETE.

Why should you care?

PostgresVerse DBA ran DELETE FROM orders without WHERE at 14:03 — PITR to 14:02:30 saves the quarter.

See it live — copy this example

Run in pgAdmin or psql.

# recovery.conf / postgresql.conf recovery settings (conceptual)
restore_command = 'cp /wal_archive/%f %p'
recovery_target_time = '2026-07-19 14:02:30+05:30'
recovery_target_action = promote

Run Example »

This lesson uses terminal or setup steps. Run commands on your computer — the live editor appears on coding lessons.

What happened?

  • restore_command fetches archived WAL segments.
  • recovery_target_time stops replay at that instant.
  • promote opens recovered cluster for use after reach target.

Practice next

  1. Ensure archive_mode on and WAL copied to archive dir.
  2. Take basebackup and note time.
  3. Lab: destructive SQL; restore base to new data dir with target time before mistake.
  4. Use recovery_target_name labeled backup checkpoint.
  5. Compare PITR vs logical replication for table-level oops.

Remember

PITR needs continuous archiving plus base backup. Target time, name, or LSN stops replay. Practice on clone never on prod dir in place.

PostgresVerse oops recovery

Team restores clone to 2 minutes before bad migration; exports fixed rows back to prod.

Outcome: Four hours downtime avoided vs full day rebuild.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Junior Detailed
Explain SQL queries in the context of PostgreSQL.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define SQL queri…
Mid Detailed
What are common mistakes teams make with Schema design when using PostgreSQL?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Schema de…
Senior Detailed
How would you debug a production issue related to Transactions in a PostgreSQL application?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Transacti…
Mid Detailed
Compare two approaches to Indexing—when would you choose each?
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Indexing…
Junior Detailed
Describe a real-world scenario where Normalization mattered in a PostgreSQL project.
Short answer: Interviewers want a crisp definition, a practical example from your projects, and awareness of trade-offs—not textbook dumps. Explain a bit more How to structure your answer (60–90 seconds) Define Normaliza…
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PostgreSQL Tutorial
Course syllabus

PostgreSQL Tutorial

PostgreSQL — Foundations
PostgreSQL — SQL & Queries
PostgreSQL — Indexing & Performance
PostgreSQL — Transactions & MVCC
PostgreSQL — Functions & Automation
PostgreSQL — JSONB & Modern Features
PostgreSQL — Replication & High Availability
PostgreSQL — Security & Cloud
PostgreSQL — Monitoring & Troubleshooting
PostgreSQL — Real-World Projects
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