PostgreSQL Troubleshooting

PostgreSQL‘s query optimizer (or planner) creates optimal execution plans for SQL queries by evaluating multiple possibilities and selecting the fastest approach. [^1] As a result, it plays a central role in ensuring efficient query execution. […]

Introduction: Adaptive joins are an exciting feature in PostgreSQL. They dynamically adjust the join method during query execution to optimize performance. This article explores adaptive joins in PostgreSQL, their benefits, and how they can improve […]

In PostgreSQL, the optimizer selects which indexes to use for query execution based on cost-based optimization. The goal is to choose the most efficient index or combination of indexes. This should minimize the total cost […]

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 introduced several enhancements to the JSON data type constructor, which is used to create JSON data structures in the database. Some of the key enhancements include: These enhancements to the JSON data type […]