PostgreSQL Troubleshooting

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 […]

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 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 […]

Checkpoint queues can have a significant impact on the recovery process in PostgreSQL. Checkpoints are a mechanism that PostgreSQL uses to write dirty data from memory to disk, in order to ensure that the data […]

In PostgreSQL, undo blocks are implemented using a mechanism called Multi-Version Concurrency Control (MVCC), which allows multiple versions of a row to exist in the database at the same time. When a transaction updates or […]

Deadlock is a situation where two or more transactions are blocked, waiting for each other to release locks that they hold. In PostgreSQL, deadlocks can occur in several scenarios, such as: To prevent deadlocks in […]

Multipass hash join is a technique used to optimize the performance of a hash join operation in a database management system. In a hash join, one table is used as the build input, and the […]