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 >>>> >>>
