PostgreSQL's JSON support enables flexible data modeling. Here's how to query and manipulate JSON data effectively.
JSON vs JSONB
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Basic JSON Queries
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Array Operations
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Containment and Existence
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Modifying JSON
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Aggregation and Transformation
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Indexing JSON
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JSON Path Queries (PostgreSQL 12+)
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Practical Examples
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Best Practices
Schema Design:
✓ Use JSONB over JSON
✓ Index frequently queried paths
✓ Consider partial indexes
✓ Don't over-normalize into JSON
Performance:
✓ Use containment operators with GIN
✓ Expression indexes for equality
✓ Avoid full-table JSON parsing
✓ Monitor query plans
Data Integrity:
✓ Use CHECK constraints
✓ Validate JSON structure
✓ Handle NULL vs missing keys
✓ Consider generated columns
Conclusion
PostgreSQL's JSON support enables flexible schemas while maintaining query performance. Use JSONB with GIN indexes for most cases, expression indexes for specific paths, and JSONPath for complex queries. Balance flexibility with structure for maintainable data models.