A major upgrade is when you upgrade from one major version of TimescaleDB, to the next major version. For example, when you upgrade from TimescaleDB 1 to TimescaleDB 2.

A minor upgrade is when you upgrade within your current major version of TimescaleDB. For example, when you upgrade from TimescaleDB 2.5 to TimescaleDB 2.6.

If you originally installed TimescaleDB using Docker, you can upgrade from within the Docker container. For more information, and instructions, see the Upgrading with Docker section.

Important

When you upgrade the timescaledb extension, the experimental schema is removed by default. To use experimental features after an upgrade, you need to add the experimental schema again.

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You can upgrade your self-hosted Timescale installation in-place. This means that you do not need to dump and restore your data. However, it is still important that you plan for your upgrade ahead of time.

Before you upgrade:

  • Read the release notes for the Timescale version you are upgrading to.
  • Check which PostgreSQL version you are currently running. You might need to upgrade to the latest PostgreSQL version before you begin your Timescale upgrade.
  • Perform a backup of your database. While Timescale upgrades are performed in-place, upgrading is an intrusive operation. Always make sure you have a backup on hand, and that the backup is readable in the case of disaster.
Note

If you use the Timescale Toolkit, ensure the timescaledb_toolkit extension is on version 1.6.0, then upgrade the timescaledb extension. If required, you can then later upgrade the timescaledb_toolkit extension to the most recent version.

You can check which version of TimescaleDB you are running, at the psql command prompt. Use this to check which version you are running before you begin your upgrade, and again after your upgrade is complete:

\dx timescaledb
Name | Version | Schema | Description
-------------+---------+------------+---------------------------------------------------------------------
timescaledb | x.y.z | public | Enables scalable inserts and complex queries for time-series data
(1 row)

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