Citus Blog

How do you feel when your day doesn’t go as planned? In this episode of the Path To Citus Con, the podcast for developers who love Postgres, guest Derk van Veen joins co-hosts Claire Giordano and Pino de Candia to talk about his journey from Java developer to Postgres specialist.

What makes you feel alive at work? Is it the routine tasks, the predictable outcomes, the stable environment? Or is it the unexpected challenges, the unknown variables, the chaotic situations? If you are like Derk (and I), you thrive on the latter. Maybe you love to jump on tough problems and find beautiful solutions—or maybe you enjoy the thrill of finding the root cause of a slow system or some faulty code. You don't just follow a recipe. You ask questions, explore options, and experiment with different strategies. How do you partition a table? Why do you partition a table? What are the trade-offs of each approach?

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PostgreSQL 16 introduces quite a few improvements to the query planner and makes many SQL queries run faster than they did on previous versions of PostgreSQL.

If you look at the PG16 release notes, you’ll see some of these planner improvements. But with the volume of changes made in each PostgreSQL release, it’s not possible to provide enough detail about each and every change. So maybe you might need a bit more detail to know what the change is about—before you understand if it’s relevant to you.

In this blog post, assuming you’ve already got a handle on the basics of EXPLAIN, you’ll get a deep dive into the 10 improvements made in the PostgreSQL 16 query planner. For each of the improvements to the PG16 planner (the planner is often called an optimizer in other relational databases), you’ll also get comparisons between PG15 and PG16 planner output—plus examples of what changed, in the form of a self-contained test you can try for yourself.

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Episode 11 of Path To Citus Con—the monthly podcast for developers who love Postgres—is now out. This episode featured guests Jelte Fennema-Nio and Marco Slot who joined us (along with co-hosts Claire Giordano and Pino de Candia) to talk about performance benchmarking, specifically benchmarking databases and Postgres.

The official title of Episode 11 with Jelte and Marco is “My Journey into Performance Benchmarking”.

I love hearing how people find themselves doing what they do, so it was fascinating to hear how they got started. One of the most interesting insights was the impact something like benchmarking can have on your career—even if you don’t particularly enjoy it!

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