Interview kitsBlog

Your dream job? Lets Git IT.
Interactive technical interview preparation platform designed for modern developers.

XGitHub

Platform

  • Categories

Resources

  • Blog
  • About the app
  • FAQ
  • Feedback

Legal

  • Privacy Policy
  • Terms of Service

© 2026 LetsGit.IT. All rights reserved.

LetsGit.IT/Categories/PostgreSQL
PostgreSQLeasy

What is `EXPLAIN ANALYZE` used for?

Tags
#explain#analyze#query-plan
Back to categoryPractice quiz

Answer

`EXPLAIN` shows the query plan; `EXPLAIN ANALYZE` also runs the query and reports real timings/rows. It’s the main tool to understand why a query is slow.

EXPLAIN ANALYZE
SELECT *
FROM users
WHERE email = '[email protected]';

Advanced answer

Deep dive

Expanding on the short answer — what usually matters in practice:

  • Context (tags): explain, analyze, query-plan
  • Data model and access patterns: dominant queries (read/write ratio, sorting, pagination).
  • Indexes: when they help vs hurt (write amplification, memory).
  • Consistency & transactions: what’s guaranteed and what can bite you.
  • Explain the "why", not just the "what" (intuition + consequences).
  • Trade-offs: what you gain/lose (time, memory, complexity, risk).
  • Edge cases: empty inputs, large inputs, invalid inputs, concurrency.

Examples

Here’s an additional example (building on the short answer):

EXPLAIN ANALYZE
SELECT *
FROM users
WHERE email = '[email protected]';

Common pitfalls

  • Too generic: no concrete trade-offs or examples.
  • Mixing average-case and worst-case (e.g., complexity).
  • Ignoring constraints: memory, concurrency, network/disk costs.

Interview follow-ups

  • When would you choose an alternative and why?
  • What production issues show up and how do you diagnose them?
  • How would you test edge cases?

Related questions

PostgreSQL
ANALYZE: what does it do and how does it affect query plans?
#postgres#analyze#optimizer
PostgreSQL
What does `ANALYZE` do in PostgreSQL and why does it matter?
#analyze#statistics#planner
Databases
How do you read an EXPLAIN plan at a high level?
#explain#query-plan
#performance