This repository is the home of the TimescaleDB Toolkit team. Our mission is to ease all things analytics when using TimescaleDB, with a particular focus on developer ergonomics and performance. Our issue tracker contains more on the features we're planning to work on and the problems we're trying to solve, and our Discussions forum contains ongoing conversation.

Documentation for this version of the TimescaleDB Toolkit extension can be found in this repository at docs. The release history can be found on this repo's GitHub releases.

The extension comes pre-installed on all Timescale Cloud instances and also on our full-featured timescale/timescaledb-ha docker image.

If DEB and RPM packages are a better fit for your situation, refer to the Install Toolkit on self-hosted TimescaleDB how-to guide for further instructions on installing the extension via your package manager.

All versions of the extension contain experimental features in the toolkit_experimental schema. See our docs section on experimental features for more details.

The engineering team regularly tests the extension on the following platforms:

• x86_64-unknown-linux-gnu (Ubuntu Linux 20.04) (tested prior to every merge)
• aarch64-unknown-linux-gnu (Ubuntu Linux 20.04) (tested at release time)
• x86_64-apple-darwin (MacOS 12) (tested frequently on eng workstation)
• aarch64-apple-darwin (MacOS 12) (tested frequently on eng workstation)

As for other platforms: patches welcome!

Building the extension requires valid rust (we build and test on 1.65), rustfmt, and clang installs, along with the postgres headers for whichever version of postgres you are running, and pgrx. We recommend installing rust using the official instructions:

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

and build tools, the postgres headers, in the preferred manner for your system. You may also need to install OpenSSl. For Ubuntu you can follow the postgres install instructions then run

sudo apt-get install make gcc pkg-config clang postgresql-server-dev-14 libssl-dev

Next you need cargo-pgrx, which can be installed with

cargo install --version '=0.9.7' --force cargo-pgrx

You must reinstall cargo-pgrx whenever you update your Rust compiler, since cargo-pgrx needs to be built with the same compiler as Toolkit.

Finally, setup the pgrx development environment with

cargo pgrx init --pg14 pg_config

Installing from source is also available on macOS and requires the same set of prerequisites and set up commands listed above.

Download or clone this repository, and switch to the extension subdirectory, e.g.

git clone https://github.com/timescale/timescaledb-toolkit && \
cd timescaledb-toolkit/extension

Then run

cargo pgrx install --release && \
cargo run --manifest-path ../tools/post-install/Cargo.toml -- pg_config

To initialize the extension atfer installation, enter the following into psql:

CREATE EXTENSION timescaledb_toolkit;

The TimescaleDB Toolkit project is still in the initial planning stage as we decide our priorities and what to implement first. As such, now is a great time to help shape the project's direction! Have a look at the list of features we're thinking of working on and feel free to comment on the features, expand the list, or hop on the Discussions forum for more in-depth discussions.

See above for prerequisites and installation instructions.

You can run tests against a postgres version pg12, pg13, pg14, or pg15 using

cargo pgrx test ${postgres_version}

TimescaleDB is a distributed time-series database built on PostgreSQL that scales to over 10 million of metrics per second, supports native compression, handles high cardinality, and offers native time-series capabilities, such as data retention policies, continuous aggregate views, downsampling, data gap-filling and interpolation.

TimescaleDB also supports full SQL, a variety of data types (numerics, text, arrays, JSON, booleans), and ACID semantics. Operationally mature capabilities include high availability, streaming backups, upgrades over time, roles and permissions, and security.

TimescaleDB has a large and active user community (tens of millions of downloads, hundreds of thousands of active deployments, Slack channels with thousands of members).