We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Boriss Mejias: Should I use JSON in PostgreSQL? (PGConf.EU 2023)
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.
- 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.