Tuning Linux for PostgreSQL

Tuning Linux for PostgreSQL


Tuning Linux for PostgreSQL performance can involve several steps. Here are some general steps to take:
  1. Optimize kernel parameters: Make sure the kernel is configured for optimal performance for PostgreSQL. This can include adjusting settings such as vm.swappiness, vm.dirty_ratio, and vm.dirty_background_ratio.
  2. Adjust filesystem settings: Configure the filesystem for optimal performance. This can include using the appropriate filesystem type, such as XFS or ext4, and configuring the filesystem with appropriate options such as noatime.
  3. Monitor memory usage: Use tools such as free, vmstat, and top to monitor memory usage and ensure that the system is not swapping heavily.
  4. Monitor I/O: Use tools such as iostat, iotop, and pg_top to monitor I/O usage and ensure that the system is not experiencing heavy I/O wait.
  5. Monitor CPU usage: Use tools such as top, htop, and pg_top to monitor CPU usage and ensure that the system is not experiencing heavy CPU load.
  6. Monitor network usage: Use tools such as netstat, nstat, and iftop to monitor network usage and ensure that the system is not experiencing heavy network load.
  7. Monitor PostgreSQL performance: Use tools such as pg_stat_activity, pg_stat_statements, and pg_top to monitor PostgreSQL performance.
  8. Use a better scheduler: PostgreSQL recommends using the Completely Fair Scheduler (CFS) as it is more suited for PostgreSQL.
It's worth noting that this is a general process and specific cases may require different steps and approaches, and that it's important to have a good understanding of your data, database design, and query patterns before attempting to optimize a Linux system for PostgreSQL.
About Shiv Iyer 72 Articles
Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.

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