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 >> >
