The cost of a slow query in PostgreSQL can be estimated by the Query Planner, which uses statistics about the data in the tables being queried to make predictions about the query execution time. The […]
In PostgreSQL, global indexes are implemented using a shared-nothing architecture, which means that the index data is partitioned and distributed across multiple physical nodes or “shards.” This allows for parallel query processing and improved performance […]
PostgreSQL provides the option of synchronous replication to ensure that transactions are committed on the standby servers before they are acknowledged as being committed on the primary server. This can provide an added level of […]
In PostgreSQL, hard parsing optimization typically takes more time when a query is submitted for the first time or when the database statistics or query planner configuration has changed significantly. This is because hard parsing […]
In PostgreSQL, the process global area (PGA) is managed by the server’s memory allocator and is used to store data structures associated with each client’s session, such as query plans and sorts. To tune the […]
No, it is not possible to turn off redo log generation in PostgreSQL, as it is a fundamental part of the transactional system that ensures the durability and consistency of your data. The redo logs […]
In PostgreSQL, a COMMIT statement is used to finalize a transaction and make its changes permanent in the database. When a COMMIT statement is executed, the following things happen internally in PostgreSQL: After a transaction […]
PostgreSQL uses latches to provide synchronization between different threads accessing shared resources. Latches are lightweight and efficient mechanisms that provide mutual exclusion between threads. Here is a table describing all the PostgreSQL latches, their purpose, […]
PostgreSQL has several configuration parameters that control its memory usage. Here is a detailed description of some of the most important memory-related parameters: It is important to monitor the memory usage of the database process […]
PostgreSQL 15 introduces a new parallel query feature called “Partitionwise Joins” which can improve the performance of queries involving large tables. Here’s how to implement parallel queries using this feature: Here’s an example query that […]
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