AlenkaF commented on code in PR #346:
URL: https://github.com/apache/arrow-site/pull/346#discussion_r1183284527
##########
_posts/2023-04-19-12.0.0-release.md:
##########
@@ -0,0 +1,79 @@
+---
+layout: post
+title: "Apache Arrow 12.0.0 Release"
+date: "2023-04-19 00:00:00"
+author: pmc
+categories: [release]
+---
+<!--
+{% comment %}
+Licensed to the Apache Software Foundation (ASF) under one or more
+contributor license agreements. See the NOTICE file distributed with
+this work for additional information regarding copyright ownership.
+The ASF licenses this file to you under the Apache License, Version 2.0
+(the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+{% endcomment %}
+-->
+
+
+The Apache Arrow team is pleased to announce the 12.0.0 release. This covers
+over 3 months of development work and includes [**XXX resolved issues**][1]
+from [**YYY distinct contributors**][2]. See the [Install
Page](https://arrow.apache.org/install/)
+to learn how to get the libraries for your platform.
+
+The release notes below are not exhaustive and only expose selected highlights
+of the release. Many other bugfixes and improvements have been made: we refer
+you to the [complete changelog][3].
+
+## Community
+
+Since the 11.0.0 release, Wang Mingming, Mustafa Akur and Ruihang Xia
+have been invited to be committers.
+Will Jones have joined the Project Management Committee (PMC).
+
+Thanks for your contributions and participation in the project!
+
+## Columnar Format Notes
+
+## Arrow Flight RPC notes
+
+## C++ notes
+
+## C# notes
+
+## Go notes
+
+## Java notes
+
+## JavaScript notes
+
+## Python notes
Review Comment:
```suggestion
## Python notes
Compatibility notes:
* As Plasma has been removed in this release
[GH-33243](https://github.com/apache/arrow/issues/33243) the serialization
module in PyArrow was also removed
[GH-29705](https://github.com/apache/arrow/issues/29705). IPC (Inter-Process
Communication) functionality of pyarrow or the standard library pickle should
be used instead.
* Deprecated `use_async` has now been removed from the dataset module
[GH-30774](https://github.com/apache/arrow/issues/30774)
* Minimum Cython version to build PyArrow from source has been raised to
0.29.31 [GH-34933](https://github.com/apache/arrow/issues/34933)
New features:
* FixedShapeTensorType binding has been implemented
[GH-34882](https://github.com/apache/arrow/issues/34882) and
[GH-34956](https://github.com/apache/arrow/issues/34956)
* Run-End Encoded arrays binding has been implemented
[GH-34686](https://github.com/apache/arrow/issues/34686) together with
RunEndEncodedScalar values binding
[GH-34568](https://github.com/apache/arrow/issues/34568)
* Method `is_nan` has been added to Array, ChunkedArray and Expression
[GH-34154](https://github.com/apache/arrow/issues/34154)
* `pyarrow.acero` module initial binding has been implemented
[GH-33976](https://github.com/apache/arrow/issues/33976)
* Dataframe interchange protocol has been implemented for RecordBatch
[GH-33926](https://github.com/apache/arrow/issues/33926)
Other improvements:
* Extension arrays can now be concatenated
[GH-31868](https://github.com/apache/arrow/issues/31868)
* `get_partition_keys` helper function is implemented in the `dataset`
module to access the partitioning field's key/value from the partition
expression of a certain dataset fragment
[GH-33825](https://github.com/apache/arrow/issues/33825)
* PyArrow can now be compiled using Cython 3
[GH-34564](https://github.com/apache/arrow/issues/34564)
* [Arrow Archery
tool](https://arrow.apache.org/docs/dev/developers/continuous_integration/archery.html)
now includes linting of the Cython files
[GH-31905](https://github.com/apache/arrow/issues/31905)
* Array objects can now be accepted by the `pa.array()` constructor
[GH-34411](https://github.com/apache/arrow/issues/34411)
* The default row group size when writing parquet files has been changed
[GH-34280](https://github.com/apache/arrow/issues/34280)
* RecordBatch has the `select()` method implemented
[GH-34359](https://github.com/apache/arrow/issues/34359)
* New method `drop_column` on the `pyarrow.Table` supports passing a single
column as a string [GH-33377](https://github.com/apache/arrow/issues/33377)
* User-defined tabular functions, which are a user-functions implemented in
Python that return a stateful stream of tabular data, are now also supported
[GH-32916](https://github.com/apache/arrow/issues/32916)
Relevant bug fixes:
* Acero can now detect and raise an error in case a join operation needs too
much bytes of key data [GH-34474](https://github.com/apache/arrow/issues/34474)
* Fix for converting non-sequence object in `pa.array()`
[GH-34944](https://github.com/apache/arrow/issues/34944)
* Fix erroneous table conversion to pandas if table includes an extension
array that does not implement `to_pandas_dtype`
[GH-34906](https://github.com/apache/arrow/issues/34906)
* Reading from a closed `ArrayStreamBatchReader` now returns invalid status
instead of segfaulting https://github.com/apache/arrow/issues/34165
* `array()` now returns `pyarrow.Array` and not `pyarrow.ChunkedArray` for
columns with `__arrow_array__` method and only one chunk so that the conversion
of pandas dataframe with categorical column of dtype `string[pyarrow]` does not
fail [GH-33727]https://github.com/apache/arrow/issues/33727)
* Custom type mapper in `to_pandas` now converts index dtypes together with
column dtypes [GH-34283](https://github.com/apache/arrow/issues/34283)
```
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]