I'm pleased to announce the release of Apache PyIceberg 0.5.0! PyIceberg 0.5.0 comes with many new features:
- Add gzip metadata support <https://github.com/apache/iceberg/pull/7984> - PyArrow HDFS support <https://github.com/apache/iceberg/pull/7997> - Support serverless environments (AWS Lambda) <https://github.com/apache/iceberg/pull/8061> - Many fixes around Avro performance (PRs 1 <https://github.com/apache/iceberg/pull/8074>, 2 <https://github.com/apache/iceberg/pull/8075>, 3 <https://github.com/apache/iceberg/pull/8082>, 4 <https://github.com/apache/iceberg/pull/8084>) - Remove the upper bound of PyParsing dependency <https://github.com/apache/iceberg/pull/8116> (blocking a PR in Airflow <https://github.com/apache/airflow/pull/32786>) - Moving the reading of Avro to Cython <https://github.com/apache/iceberg/pull/8134> (10x speed improvement(!)) - Support for the SQLCatalog <https://github.com/apache/iceberg/pull/7921> (JDBC in Java) - Fix support for UUID columns <https://github.com/apache/iceberg/pull/8267> - Support for adding columns <https://github.com/apache/iceberg/pull/8174> - Optimize concurrency <https://github.com/apache/iceberg/pull/8104> (follow up on the Support serverless environments) - Bump Pydantic to v2 <https://github.com/apache/iceberg/pull/7782> (improved performance of the JSON (de)serialization) - A lot of bugfixes! The docs have been updated <https://py.iceberg.apache.org/> to the latest release. Apache Iceberg is an open table format for huge analytic datasets. Iceberg delivers high query performance for tables with tens of petabytes of data, along with atomic commits, concurrent writes, and SQL-compatible table evolution. This Python release can be downloaded from: https://pypi.org/project/pyiceberg/0.5.0/ If you have any questions or run into anything, feel free to reach out to the #python channel on Slack <https://join.slack.com/t/apache-iceberg/shared_invite/zt-1jyaasx2a-TxE4z_ubxDkTFS7UFDHnjw> or open an issue <https://github.com/apache/iceberg> on GitHub. Thanks to everyone for contributing!
