Disclaimer: This extension is currently in an experimental state. Feel free to try it out, but be aware that minimal testing and benchmarking was done.
Warning: This extension currently builds with the main branch of DuckDB. A PR is being worked on. When the PR is merged, this extension will be updated and usable from (nightly) DuckDB releases.
DuckDB extension for Apache Iceberg
This repository contains a DuckDB extension that adds support for Apache Iceberg. In its current state, the extension offers some basics features that allow listing snapshots and reading specific snapshots of an iceberg tables.
Documentation
See the Iceberg page in the DuckDB documentation.
Developer guide
Dependencies
This extension has several dependencies. Currently, the main way to install them is through vcpkg. To install vcpkg, check out the docs here. Note that this extension contains a custom vcpkg port that overrides the existing 'avro-cpp' port of vcpkg. The reason for this is that the other versions of avro-cpp have some issue that seems to cause issues with the avro files produced by the spark iceberg extension.
Test data generation
To generate test data, the script in 'scripts/test_data_generator' is used to have spark generate some test data. This is based on pyspark 3.4, which you can install through pip.
Building the extension
To build the extension with vcpkg, you can build this extension using:
VCPKG_TOOLCHAIN_PATH='<path_to_your_vcpkg_toolchain>' make
This will build both the separate loadable extension and a duckdb binary with the extension pre-loaded:
./build/release/duckdb
./build/release/extension/iceberg/iceberg.duckdb_extension
Running tests
Generating test data
To generate the test data, run:
make data
Note that the script requires python3, pyspark and duckdb-python to be installed. Assuming python3 is already installed,
running python3 -m pip install duckdb pyspark
should do the trick.
Running unit tests
make test
Running the local S3 test server
Running the S3 test cases requires the minio test server to be running and populated with scripts/upload_iceberg_to_s3_test_server.sh
.
Note that this requires to have run make data
before and also to have the aws cli and docker compose installed.
Acknowledgements
This extension was initially developed as part of a customer project for RelationalAI, who have agreed to open source the extension. We would like to thank RelationalAI for their support and their commitment to open source enabling us to share this extension with the community.