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 […]
In PostgreSQL, errors inside a transaction can also be handled using savepoints. A savepoint is a point within a transaction that can be rolled back, without rolling back the entire transaction. Here is an example […]
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 […]
Partitioned Bitmaps are a technique used to speed up queries on large databases by breaking them down into smaller pieces, or partitions, that can be searched independently. PostgreSQL supports Partitioned Bitmaps through the use of […]
When loading bulk data into a PostgreSQL database, there are several best practices you can follow to ensure the process is efficient, reliable, and doesn’t impact the performance of your database. Here are some of […]
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 […]
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