© Laurenz Albe 2022 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 […]
PostgreSQL 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 […]
By Kaarel Moppel Recently I was asked if there’s a rule of thumb / best practice for setting the fillfactor in Postgres – and the only answer I could give was to decrease it “a bit” if you do lots and lots of updates on some table. Good advice? Well, it could be better – […]
When designing a database application, the layout of data in disk is often neglected. However, the way data is stored by PostgreSQL can have a major performance impact. Therefore it makes sense to take a look at what can be done to improve speed and throughput. In this post you will learn one of the […]
“How does the PostgreSQL optimizer handle views?” or “Are views good or bad?” I assume that every database consultant and every SQL performance expert has heard this kind of question already. Given the fact that views are a really essential feature of SQL, it makes sense to take a closer look at the topic in […]
Our PostgreSQL consultants can advise you on how to optimize your database and make overall improvements in your database performance. If you are looking for PostgreSQL performance tuning because you want a fast, reliable database that simply works, we are here to help. Tuning PostgreSQL memory parameters Are you wondering which values to put into […]
We have posted a lot of tuning advise on this blog already. Now we thought we would take it a step further and share some more advice and common “mistakes” that we see people making when configuring web applications. Improving web application performance is more critical than ever because most applications in use these days […]
The optimizer uses several parameters to optimize queries. Those parameters have been constant for many years in the past. This was fine for most users. Recently we have seen a couple of systems which were already fully based on SSD disks. SSDs have a nice advantage over traditional disks: Random disk access is not a […]
What 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 […]
When 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? […]
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 scripts, so that’s the […]
© Laurenz Albe 2020 UPDATED 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 […]
