Awesome
WIP Disclaimer
This template is currently work-in-progress. Feel free to play around with it and give us feedback. Note also that this template depends on a development version of DuckDB. Follow https://duckdb.org/news for more information on official launch.
DuckDB Extension Template
The main goal of this template is to allow users to easily develop, test and distribute their own DuckDB extension.
Getting started
First step to getting started is to create your own repo from this template by clicking Use this template
. Then clone your new repository using
git clone --recurse-submodules https://github.com/<you>/<your-new-extension-repo>.git
Note that --recurse-submodules
will ensure the correct version of duckdb is pulled allowing you to get started right away.
Building
To build the extension:
make
The main binaries that will be built are:
./build/release/duckdb
./build/release/test/unittest
./build/release/extension/<extension_name>/<extension_name>.duckdb_extension
duckdb
is the binary for the duckdb shell with the extension code automatically loaded.unittest
is the test runner of duckdb. Again, the extension is already linked into the binary.<extension_name>.duckdb_extension
is the loadable binary as it would be distributed.
Running the extension
To run the extension code, simply start the shell with ./build/release/duckdb
.
Now we can use the features from the extension directly in DuckDB. The template contains a single scalar function hnsw()
that takes a string arguments and returns a string:
D select hnsw('Jane') as result;
┌───────────────┐
│ result │
│ varchar │
├───────────────┤
│ Quack Jane 🐥 │
└───────────────┘
Running the tests
Different tests can be created for DuckDB extensions. The primary way of testing DuckDB extensions should be the SQL tests in ./test/sql
. These SQL tests can be run using:
make test
Getting started with your own extension
After creating a repository from this template, the first step is to name your extension. To rename the extension, run:
python3 ./scripts/set_extension_name.py <extension_name_you_want>
Feel free to delete the script after this step.
Now you're good to go! After a (re)build, you should now be able to use your duckdb extension:
./build/release/duckdb
D select <extension_name_you_chose>('Jane') as result;
┌─────────────────────────────────────┐
│ result │
│ varchar │
├─────────────────────────────────────┤
│ <extension_name_you_chose> Jane 🐥 │
└─────────────────────────────────────┘
For inspiration/examples on how to extend DuckDB in a more meaningful way, check out the test extensions, the in-tree extensions, and the out-of-tree extensions.
Distributing your extension
Easy distribution of extensions built with this template is facilitated using a similar process used by DuckDB itself. Binaries are generated for various versions/platforms allowing duckdb to automatically install the correct binary.
This step requires that you pass the following 4 parameters to your GitHub repo as action secrets:
secret name | description |
---|---|
S3_REGION | s3 region holding your bucket |
S3_BUCKET | the name of the bucket to deploy to |
S3_DEPLOY_ID | the S3 key id |
S3_DEPLOY_KEY | the S3 key secret |
After setting these variables, all pushes to master will trigger a new (dev) release. Note that your AWS token should have full permissions to the bucket, and you will need to have ACLs enabled.
Installing the deployed binaries
To install your extension binaries from S3, you will need to do two things. Firstly, DuckDB should be launched with the
allow_unsigned_extensions
option set to true. How to set this will depend on the client you're using. Some examples:
CLI:
duckdb -unsigned
Python:
con = duckdb.connect(':memory:', config={'allow_unsigned_extensions' : 'true'})
NodeJS:
db = new duckdb.Database(':memory:', {"allow_unsigned_extensions": "true"});
Secondly, you will need to set the repository endpoint in DuckDB to the HTTP url of your bucket + version of the extension you want to install. To do this run the following SQL query in DuckDB:
SET custom_extension_repository='bucket.s3.eu-west-1.amazonaws.com/<your_extension_name>/latest';
Note that the /latest
path will allow you to install the latest extension version available for your current version of
DuckDB. To specify a specific version, you can pass the version instead.
After running these steps, you can install and load your extension using the regular INSTALL/LOAD commands in DuckDB:
INSTALL <your_extension_name>
LOAD <your_extension_name>
Versioning of your extension
Extension binaries will only work for the specific DuckDB version they were built for. Since you may want to support multiple versions of DuckDB for a release of your extension, you can specify which versions to build for in the CI of this template. By default, the CI will build your extension against the version of the DuckDB submodule, which should generally be the most recent version of DuckDB. To build for multiple versions of DuckDB, simply add the version to the matrix variable, e.g.:
strategy:
matrix:
duckdb_version: [ '<submodule_version>', 'v0.7.0']
Setting up CLion
Opening project
Configuring CLion with the extension template requires a little work. Firstly, make sure that the DuckDB submodule is available.
Then make sure to open ./duckdb/CMakeLists.txt
(so not the top level CMakeLists.txt
file from this repo) as a project in CLion.
Now to fix your project path go to tools->CMake->Change Project Root
(docs) to set the project root to the root dir of this repo.
Debugging
To set up debugging in CLion, there are two simple steps required. Firstly, in CLion -> Settings / Preferences -> Build, Execution, Deploy -> CMake
you will need to add the desired builds (e.g. Debug, Release, RelDebug, etc). There's different ways to configure this, but the easiest is to leave all empty, except the build path
, which needs to be set to ../build/{build type}
. Now on a clean repository you will first need to run make {build type}
to initialize the CMake build directory. After running make, you will be able to (re)build from CLion by using the build target we just created.
The second step is to configure the unittest runner as a run/debug configuration. To do this, go to Run -> Edit Configurations
and click + -> Cmake Application
. The target and executable should be unittest
. This will run all the DuckDB tests. To specify only running the extension specific tests, add --test-dir ../../.. [sql]
to the Program Arguments
. Note that it is recommended to use the unittest
executable for testing/development within CLion. The actual DuckDB CLI currently does not reliably work as a run target in CLion.