Regular vacuuming and reindexing of PostgreSQL infrastructure is essential for optimal performance because it helps to reclaim disk space, reduce index bloat, and maintain data consistency. Here are some of the reasons why regular vacuuming […]
Redo and Undo are essential components of any database management system, including PostgreSQL. Redo and Undo are used to maintain the consistency and durability of the database by enabling the recovery of transactions in the […]
Partial indexes in PostgreSQL allow you to create an index on a subset of a table’s rows that meet a certain condition. This can be useful for improving query performance on a subset of data […]
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 data types in JSONB PostgreSQL Data Types in JSONB allows you to store arbitrary JSON data in a structured format. This can be useful for storing data that does not fit neatly into a […]
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 […]
In PostgreSQL 16, you can reserve connections for the pg_use_reserved_connections group by modifying the postgresql.conf file. The pg_use_reserved_connections group is a special group of connections that are reserved for superusers and other critical system processes, […]
In PostgreSQL, row-level locks are implemented using a combination of lock modes and conflict resolution. When a transaction modifies a row in a table, it acquires a lock on that row to prevent other transactions […]
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 […]
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 […]
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