PostgreSQL Troubleshooting

In PostgreSQL, plans are implemented by using the query execution plan generated by the query optimizer. Aggregation and spool operations serve as key components in query plans, enabling efficient processing of aggregate queries. Let’s now […]

If you’ve ever encountered the PostgreSQL column limit of 1,664 columns per table, you know it can be a real hurdle when designing wide tables. This limit is enforced by the internal MaxTupleAttributeNumber parameter. In […]

Monitoring query latency, wait events, and locks in PostgreSQL helps identify and diagnose performance bottlenecks. Here’s a guide on how to monitor these aspects: Here’s a sample query to gather information about locks, wait events, […]

SORT operations and the ordered property of index scans are important aspects of PostgreSQL query optimization and performance tuning. In this explanation, we will explore these concepts in detail with real data examples. SORT operations […]

PostgreSQL 16 JSON Data Type Enhancements for Better Query Performance PostgreSQL 16 introduced several enhancements to the JSON data type constructor, which is used to create JSON data structures in the database. Some of the […]

PostgreSQL uses a “multi-version concurrency control” (MVCC) approach to ensure that shared locks don’t starve requests for exclusive or update locks. Under MVCC, each transaction works with a “snapshot” of the database state at a […]

Large indexes in PostgreSQL can corrupt execution plans by causing the query planner to choose suboptimal plans due to the cost of scanning the large index. When the size of an index exceeds the effective_cache_size […]