Among the many index types in PostgreSQL, the hash index is the most widely ignored. This came home to me when somebody asked me a question about hash index performance recently. High time to explore that little-known corner of PostgreSQL and run some benchmarks! The history of the hash index PostgreSQL has had hash […]
Read moreLearn about pg_stat_io‘s debugging power: PostgreSQL 16 blesses users around the world with many features which ensure an even better user experience. One of those features is a system view called pg_stat_io. It offers deep insights into the I/O behavior of your PostgreSQL database server. From PostgreSQL 16 onward, it will make it far easier […]
Read moreIn the fast-paced world of data management, scalability rules supreme and Citus plays an ever greater role. The question now is: How can we see what is going on inside Citus? How can businesses leverage monitoring technology to optimize their PostgreSQL database performance? Monitoring PostgreSQL and Citus Database monitoring is important regardless of the extension […]
Read more There are several techniques to bulk load data into PostgreSQL. I decided to compare their performance in a simple test case. I’ll add some recommendations for parameter settings to improve the performance even more. An example table to bulk load data The table is simple enough: It is a narrow table (only two columns), […]
Read morePostgreSQL is a powerful database which supports partitioning. In contrast to Oracle partitioning is part of the PostgreSQL core engine and does not need any additional licensing or extensions. If you migrate from Oracle to PostgreSQL this will be a major advantage. However, just like any other technology, partitioning is not without risk. While it […]
Read more SQL allows you to use subqueries almost anywhere where you could have a table or column name. All you have to do is surround the query with parentheses, like (SELECT …), and you can use it in arbitrary expressions. This makes SQL a powerful language – and one that can be hard to read. […]
Read moreWhat is a parallel aggregate? In PostgreSQL, a parallel aggregate refers to a way of processing aggregate functions (such as SUM, AVG, MAX, MIN, etc.) on large amounts of data in a parallel and distributed manner, thereby making the query execution faster. When executing an aggregate query, the database system automatically breaks up the result […]
Read more It is known that high network latency is bad for database performance. PostgreSQL v14 has introduced “pipeline mode” for the libpq C API, which is particularly useful to get decent performance over high-latency network connections. If you are using a hosted database in “the cloud”, then this article might be interesting for you. The […]
Read moreWhen I recently stumbled on an article comparing some main properties, and also the read-write performance of two very popular pieces of caching software, often used to speed up applications heavy on database queries, I immediately felt an itch – how would it actually look for PostgreSQL vs Redis vs Memcached on the performance side? […]
Read morePostgreSQL TDE is an Open Source version of PostgreSQL which encrypts data before storing it safely on disk. It’s therefore a more secure and thus a more enterprise-ready variation of the database. That’s why CYBERTEC PostgreSQL Enterprise Edition (PGEE) also relies heavily on encryption. PostgreSQL performance analysis People often ask about the performance differences between encrypted […]
Read moreBy Kaarel Moppel – If you read this blog post the new PostgreSQL version will be probably already officially released to the public for wider usage…but seems some eager DBA already installed the last week’s Release Candidate 1 and took it for a spin 😉 The “spin” though takes 3 days to run for my […]
Read moreUPDATED blog article on 09.01.2023 HOT updates are not a new feature. They were introduced by commit 282d2a03dd in 2007 and first appeared in PostgreSQL 8.3. But since HOT is not covered by the PostgreSQL documentation (although there is a README.HOT in the source tree), it is not as widely known as it should be: […]
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