Hi Everyone, Apologies for the many RC's, but as people are actively trying out PyIceberg and write support, we continue to find bugs and improvements. This RC includes:
- Support converting Arrow int8, int16 and large-string types. - Fixed a discrepancy between the Daft docs and code. - Properly track the partition-spec and sort-order when assigning fresh IDs for the REST-catalog. I propose that we release the following RC as the official PyIceberg 0.6.0 release. Again, here's a summary of the high level features included in this release: * Write support for writing to unpartitioned tables * Includes snapshot generation * Constructing Avro writer trees * Support writing metadata which allows to commit support for the Hive, Sql, and Glue catalog. * Support for name-mapping * Easy evolution of schema using the union_by_name method * Support for creating unpartitioned tables using PyArrow Schema The commit ID is 7a1fe28df38bfdc69166915dca49cfde660853bf * This corresponds to the tag: pyiceberg-0.6.0rc4 (5d746613219d4e68735d347c4d6cab85946c0f8b) * https://github.com/apache/iceberg-python/releases/tag/pyiceberg-0.6.0rc4 * https://github.com/apache/iceberg-python/tree/7a1fe28df38bfdc69166915dca49cfde660853bf The release tarball, signature, and checksums are here: * https://dist.apache.org/repos/dist/dev/iceberg/pyiceberg-0.6.0rc4/ You can find the KEYS file here: * https://dist.apache.org/repos/dist/dev/iceberg/KEYS Convenience binary artifacts are staged on pypi: https://pypi.org/project/pyiceberg/0.6.0rc4/ And can be installed using: pip3 install pyiceberg==0.6.0rc4 Please download, verify, and test. Please vote in the next 72 hours. [ ] +1 Release this as PyIceberg 0.6.0 [ ] +0 [ ] -1 Do not release this because...
