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Master PostgreSQL Interviews

Practice advanced PostgreSQL features, JSON operations, and performance tuning

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What You'll Master in PostgreSQL Interviews

Advanced Features

Master JSONB, full-text search, and PostgreSQL-specific features

Performance

Learn EXPLAIN plans, indexing strategies, and query optimization

Administration

Understand replication, backup strategies, and maintenance tasks

How Vibe Interviews Works

1

Choose Your Focus

Select PostgreSQL as your interview topic and customize the difficulty level

2

Practice with AI

Answer realistic PostgreSQL interview questions in a simulated environment

3

Get Feedback

Receive detailed feedback on your answers, including areas to improve

4

Track Progress

Monitor your improvement and identify strengths and weaknesses

Common PostgreSQL Interview Topics

JSONB operations and indexing

Full-text search and trigrams

EXPLAIN and query planning

Advanced indexing (GiST, GIN, B-tree)

Partitioning and sharding

Replication and high availability

Common PostgreSQL Interview Questions

Q: What are PostgreSQL's JSONB capabilities and when to use them?

A: JSONB stores JSON in binary format (faster than JSON type). Supports indexing with GIN indexes. Operators: ->, ->>, @>, etc. Use for semi-structured data, flexible schemas, document-like storage while keeping relational benefits. Better than separate document DB when you need both structured and flexible data.

Q: Explain PostgreSQL's MVCC (Multi-Version Concurrency Control)

A: MVCC allows concurrent reads/writes without locking. Each transaction sees snapshot of data. Readers don't block writers, writers don't block readers. Old row versions kept until no longer needed. VACUUM reclaims space. Trade-off: space overhead for old versions. Enables high concurrency.

Q: What is EXPLAIN ANALYZE and how do you use it for query optimization?

A: EXPLAIN shows query execution plan. ANALYZE actually runs query and shows real timings. Read from inside out and bottom up. Look for: Sequential Scans (may need indexes), high cost values, estimate vs actual row differences. Key metrics: execution time, rows processed, buffer hits.

Q: Explain the different types of indexes in PostgreSQL

A: B-tree: default, most cases, equality and range queries. Hash: only equality, rarely used. GiST: geometric data, full-text. GIN: inverted indexes, JSONB, arrays, full-text. BRIN: very large tables, naturally sorted. Partial indexes: subset of rows. Expression indexes: index on function results.

PostgreSQL Interview Preparation Tips

1

Master window functions and CTEs for complex analytical queries

2

Understand connection pooling with PgBouncer for production apps

3

Know how to use pg_stat_statements for query performance monitoring

4

Practice with PostgreSQL-specific features: arrays, ranges, custom types

5

Understand replication: streaming replication, logical replication, hot standby

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