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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

This blog was originally published in August 2018 and was updated in May 2023. Out of the box, the default PostgreSQL configuration is not tuned for any particular workload. It has default settings for all of the database parameters. What is PostgreSQL performance tuning? What is PostgreSQL performance tuning?

Tuning 52
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Tuning Autovacuum in PostgreSQL and Autovacuum Internals

Percona

The performance of a PostgreSQL database can be compromised by dead tuples, since they continue to occupy space and can lead to bloat. Now, though, it’s time to look at autovacuum for postgres, and the internals you to know to maintain a high performance PostgreSQL database needed by demanding applications.

Tuning 45
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How to improve Redo, Transaction Log and WAL throughput for HammerDB benchmarks

HammerDB

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. Oracle Log File Sync.

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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. virtual (bgregg-c5.9xl-i-xxx) 02/09/2018 _x86_64_ (36 CPU) 05:24:51 PM proc/s cswch/s. Many thanks to the engineers working hard to develop workarounds to these processor bugs.

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KPTI/KAISER Meltdown Initial Performance Regressions

Brendan Gregg

In this post I'll look at the Linux kernel page table isolation (KPTI) patches that workaround Meltdown: what overheads to expect, and ways to tune them. virtual (bgregg-c5.9xl-i-xxx) 02/09/2018 _x86_64_ (36 CPU) 05:24:51 PM proc/s cswch/s. Many thanks to the engineers working hard to develop workarounds to these processor bugs.

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Using Parallel Query with Amazon Aurora for MySQL

Percona

Aurora Parallel Query response time (for queries which can not use indexes) can be 5x-10x better compared to the non-parallel fully cached operations. I’m using the “Airlines On-Time Performance” database from [link] (You can find the scripts I used here: [link] ). The second and third run used the cached data. MySQL on ec2.

Cache 47
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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 212