postgresql-table-design

PostgreSQL schema design requires correct data types, reliable primary keys, and query-driven indexing. Use composite, partial, expression, covering, and GIN/GiST indexes to match real access patterns and prevent slow query execution.

Index JSONB columns using GIN or GiST index patterns tailored for JSONB and array searches. These specialized PostgreSQL indexes enable efficient querying of nested JSON structures and array data within your database schema.

Use PostgreSQL table partitioning for large time-series data or maintenance-driven workloads. Partitioning strategies help manage large tables by dividing them into smaller, more manageable pieces for event data and analytical queries.

PostgreSQL does not automatically index foreign keys, which is a common gotcha. Explicit indexing on foreign key columns is required to prevent performance degradation during joins and cascading updates or deletes.

Handle time and money in PostgreSQL using TIMESTAMPTZ for timezone-aware timestamps and NUMERIC for precise monetary values. These data types prevent rounding errors and timezone conversion issues in production database schemas.

Partial indexes in PostgreSQL index only rows matching a WHERE clause condition. Use them to reduce index size and maintenance overhead when queries frequently target a specific subset of rows, such as active records or null values.