PostgreSQL Troubleshooting

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 […]

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 […]

PostgreSQL 15 introduced a new feature called “asynchronous commit”, which can help reduce replication lag by allowing multiple transactions to be committed concurrently. This feature works by allowing the server to continue processing new transactions […]

Thread contention in PostgreSQL occurs when multiple threads are competing for the same resources, such as CPU time, disk I/O, or database locks. This can lead to performance degradation, slower response times, and even database […]

In PostgreSQL, if explicit locking is not enforced, duplicate records can be inserted when multiple concurrent transactions try to insert the same record simultaneously. This can occur when two or more transactions are executed concurrently […]

The I/O subsystem is a critical component of PostgreSQL, responsible for reading and writing data to and from disk. Here is an overview of the anatomy of PostgreSQL’s I/O subsystem: Monitoring the I/O subsystem is […]

PostgreSQL provides three transaction isolation levels, which control the visibility of changes made by concurrent transactions. PostgreSQL Locks: PostgreSQL uses various types of locks to ensure data consistency in concurrent environments. Locks can influence performance […]

Understanding PostgreSQL Wait Statistics is critical for optimizing database performance. Wait Statistics provide insights into the resources that are being blocked and the time that is being spent waiting for those resources. Here’s an overview […]