Boriss Mejias: Should I use JSON in PostgreSQL? (PGConf.EU 2023)

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Should you use JSON in PostgreSQL? Boriss Mejias explores the pros and cons of using JSON and JSONB, discussing features, use cases, and performance considerations.

Key takeaways

JSON vs JSONB: JSON is a syntax type that stores objects, while JSONB is a more efficient and powerful data type.
JSONB offers the possibility of adding or removing elements, but it uses more space than JSON.
JSON indexes: the GIN index can be used to index entire JSON objects, while the b-tree index can be used to index specific fields.
JSON constraints: check constraints can be used to enforce data types and ensure that data is valid.
Schema freedom: JSON allows for dynamic data types and flexible schema definitions.
Data types: JSON and JSONB can store scalar values, arrays, and objects.
Indexing: JSON indexes can be used to improve query performance.
Data storage: JSON uses more space than JSONB, but can be compressed.
Use cases: JSON is suitable for storing large amounts of dynamic data, while JSONB is suitable for storing structured data with high query performance requirements.
Conversions: JSON can be converted to and from other data types, such as relational data types.
Examples: metal bands, albums, reviews, and songs can be stored in a JSON database for flexible and dynamic data modeling.
Performance: JSON querying can be optimized using GIN indexes and aggregation functions.
Security: JSON can be used to store sensitive data, such as IDs, and can be secured using encryption and access controls.
Freedom: JSON provides the freedom to define dynamic data structures and flexible schema definitions, but requires careful management and query optimization.

Boriss Mejias: Should I use JSON in PostgreSQL? (PGConf.EU 2023)

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