Question: How can I increase the cache size in PostgreSQL?

Answer

Increasing the cache size in PostgreSQL is often done to enhance performance by allowing more data to be stored in memory, reducing disk I/O. The primary setting for this is the shared_buffers parameter, which dictates the amount of memory the database server uses for caching data.

  1. Identifying Current shared_buffers Value

    First, check the current setting:

    SHOW shared_buffers;
  2. Editing the Configuration File

    To change the shared_buffers value, you will need to edit the PostgreSQL configuration file, typically named postgresql.conf. This file's location varies depending on your operating system and PostgreSQL version, but itโ€™s commonly found in the PostgreSQL data directory.

    Locate the shared_buffers line and modify the value. For example, to increase the cache size to 4GB:

    shared_buffers = '4GB'
    

    Note: It's advised not to set shared_buffers to more than 25-30% of your total system memory in a dedicated database server setup.

  3. Applying Changes

    After adjusting the shared_buffers value, you must restart your PostgreSQL server for the changes to take effect. The command to restart will depend on your operating system and how PostgreSQL was installed.

    For systems using systemd (like most recent versions of Ubuntu and CentOS):

    sudo systemctl restart postgresql
  4. Verifying the Change

    Once PostgreSQL has restarted, verify that the change was successfully applied:

    SHOW shared_buffers;
  5. Considerations

    • Adjusting shared_buffers is just one way to improve PostgreSQL performance. Other parameters like work_mem, maintenance_work_mem, and effective_cache_size can also significantly impact performance.
    • Ensure adequate memory is left for the operating system and other processes running on your server.
    • Monitor your server's performance after making changes to understand the impact.

By carefully adjusting the shared_buffers setting and monitoring your system's response, you can optimize PostgreSQL's performance to better suit your application's needs.

Was this content helpful?

White Paper

Free System Design on AWS E-Book

Download this early release of O'Reilly's latest cloud infrastructure e-book: System Design on AWS.

Free System Design on AWS E-Book
Start building today

Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.