Hi there, I'm pleased to announce the release of Apache PyIceberg 0.3.0!
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. With the new release: - Full projection by Iceberg Field ID <https://github.com/apache/iceberg/pull/6437> - Parallelization of job planning that speeds up the metadata operations by an order of magnitude <https://github.com/apache/iceberg/pull/6590> - Overhaul of reading Avro files without the use of Pydantic to improve performance <https://github.com/apache/iceberg/pull/6525> - Bugfix when reading a zero-length binary field <https://github.com/apache/iceberg/pull/6532> - Bugfix for PyArrow that led to multiple calls to the filesystem. <https://github.com/apache/iceberg/pull/6501> This Python release can be downloaded from: https://pypi.org/project/pyiceberg/0.3.0/ Thanks to everyone for contributing! Kind regards, Fokko Driesprong
