Thanks Sung for running the release and thanks everyone for contributing! This is a great milestone for PyIceberg!
Best regards, Honah On Tue, Jul 30, 2024 at 10:47 PM Renjie Liu <liurenjie2...@gmail.com> wrote: > Thanks Sung for driving the release, and all contributors! > > On Wed, Jul 31, 2024 at 1:35 PM Fokko Driesprong <fo...@apache.org> wrote: > >> So many great new features, thanks everyone for contributing, and thanks >> Sung for running the release! >> >> Kind regards, >> Fokko >> >> Op wo 31 jul 2024 om 05:00 schreef Jack Ye <yezhao...@gmail.com>: >> >>> Thank you Sung for managing the release! And many thanks to everyone >>> that participated! >>> >>> Best, >>> Jack Ye >>> >>> >>> On Tue, Jul 30, 2024 at 12:24 PM Kevin Liu <kevin.jq....@gmail.com> >>> wrote: >>> >>>> Woot! Thank you, Sung, for managing the release! I'm very excited about >>>> this new version. >>>> >>>> I want to highlight the many contributors who have improved PyIceberg >>>> since the last release. There have been 34 unique contributors (source >>>> <https://github.com/apache/iceberg-python/compare/pyiceberg-0.6.1...pyiceberg-0.7.0rc2>). >>>> Also, as seen in issue #511 >>>> <https://github.com/apache/iceberg-python/issues/511>, the community >>>> has come together to contribute various metadata table implementations to >>>> PyIceberg. >>>> >>>> Onwards and upwards, >>>> >>>> Kevin >>>> >>>> On Tue, Jul 30, 2024 at 12:08 PM Sung Yun <sungwy...@gmail.com> wrote: >>>> >>>>> I'm pleased to announce the release of Apache PyIceberg 0.7.0! >>>>> >>>>> Once again, this large release includes the following features on a >>>>> high level: >>>>> >>>>> * Write support to partitioned tables with IdentityTransform and >>>>> TimeTransform partitions >>>>> * Support for deletes using predicates. It will drop whole files when >>>>> it is able to based on the Iceberg statistics, otherwise it will perform a >>>>> copy-on-write. >>>>> * Parallelizing writes for a given partition based on a target file >>>>> size >>>>> * A new API for rendering PyArrow tables that show metadata about the >>>>> tables’ manifests, partitions, etc >>>>> * Support for evolving table partitions >>>>> * Updated schema compatibility check to be more permissive, by >>>>> supporting promotable types and subset of schemas on write >>>>> * Option to merge manifests on write when number of manifests exceeds >>>>> a threshold >>>>> * Support staging a table for creation and building a transaction >>>>> * A new table scan API to return an Arrow RecordBatchReader as opposed >>>>> to a fully materialized Arrow table >>>>> * Support for categorical and large PyArrow types on write >>>>> * A new API to add existing parquet files to a table without rewriting >>>>> them >>>>> * Support for loading custom catalog >>>>> >>>>> This Python release can be downloaded from: >>>>> https://pypi.org/project/pyiceberg/0.7.0/ >>>>> >>>>> Thank you everyone again for the amazing contributions and engagement >>>>> since the last release. >>>>> >>>>> Sincerely, >>>>> Sung >>>>> >>>>
