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 that minimize the total cost of […]
In PostgreSQL, plans are implemented using the query execution plan generated by the query optimizer. Aggregation and spool operations are key components in query plans that allow for efficient processing of aggregate queries. Let’s explore […]
User-Defined Functions (UDFs) in PostgreSQL allow you to define custom functions to extend the functionality of the database. UDFs can be written in various programming languages, such as SQL, PL/pgSQL, Python, or any other language […]
In PostgreSQL, you can use the isalnum function to determine if a string is alphanumeric or not. The isalnum function returns TRUE if all characters in the string are either alphabetic or numeric, and FALSE […]
In PostgreSQL, the maximum number of columns for a table is limited by the system configuration parameter MaxTupleAttributeNumber, which is set to 1664 by default. However, it is possible to increase this limit by modifying […]
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 […]
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 […]
pgBadger is a PostgreSQL log analyzer that can be used to analyze and summarize the PostgreSQL log files to help identify performance issues and troubleshoot problems. Here are the steps to install and configure pgBadger […]
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