Testing a database performance is a must in every company. Despite everyone’s needs beings slightly different, a good starting point for PostgreSQL® database is using pgbench: a tool shipped with the PostgreSQL installation that allows you to stress test a local or remote database. This blog post showcases how to install (on a Mac) and use pgbench to create load on a remote PostgreSQL database on Aiven.

Some time ago I found an interesting database file suffix I never faced before: the .dbf and saw around that it was first introduced in 1983 with dBASE II. This article showcases how we can automatically generate the PostgreSQL table and fill it with data using Python and dbfread.

Everyone is now talking about AI, and modern databases like PostgreSQL® are increasingly being adopted in companies’ AI journey as sources of data or key pieces of the AI infrastructure. Moreover there’s a new set projects that are solving PostgreSQL problems with AI.

A boolean value should only contain two values, True or False, but is it correct? Usually people assume so, but sometimes miss the fact that there could be the absence of the value all-together. In databases this is absence is usually stored as NULL and this blog showcases how to find them, use them properly and 11 lessons to learn to be a NULL Pro!

Keep in mind, it’s not only booleans that can contain NULL values, it’s all the columns where you don’t define a NOT NULL constraint!

One of the most common tasks with strings is concatenation! This blog post showcases several techniques to perform it with MySQL.

How to load StackOverflow StackExchange data in a PostgreSQL® database!

Earlier this month I wrote a piece on solving Gunnar Morling interesting 1 billion rows challenge in PostgreSQL and ClickHouse. Since Aiven provides also MySQL, I wanted to give it a try. TLDR; The results are much slower than PG and ClickHouse, do you have any suggestion on how to improve?

Need to extract a specific substring out of a text in PostgreSQL®? Read here how!

Last week the good old Gunnar Morling launched an interesting challenge about ordering 1 billion rows in Java. Like my ex colleague and friend Robin Moffat, I’m not at all a Java expert, and while Robin used DuckDB to solve the challenge, I did the same with PostgreSQL and ClickHouse.

When sinking unix timestamps from Apache Kafka to OpenSearch/ElasticSearch using the dedicated connector, they are not recognized by default as timestamp in the target tech.