AlenkaF commented on code in PR #418:
URL: https://github.com/apache/arrow-site/pull/418#discussion_r1360226790
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_posts/2023-10-11-14.0.0-release.md:
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+---
+layout: post
+title: "Apache Arrow 14.0.0 Release"
+date: "2023-10-11 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 14.0.0 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 13.0.0 release, Metehan Yildirim and Oleks V. have been invited to
be committers.
+
+Thanks for your contributions and participation in the project!
+
+## Columnar Format Notes
+
+A `VariableShapeTensorType` was added to the Arrow specification as a
canonical extension type.
([GH-24868](https://github.com/apache/arrow/issues/24868)).
+
+Motivated by recent innovations in DuckDB and Meta's Velox engine, new "view"
data types were added to the Arrow columnar format spec.
+
+* 16-byte StringView and BinaryView data type which enables better buffer
reuse, faster "false" string comparisons (due to maintaining a prefix) and
short string inlining.
([GH-35627](https://github.com/apache/arrow/issues/35627)).
+* ListView and LargeListView types for more performant "out-of-order" building
and processing of lists and better buffer reuse
([GH-37876](https://github.com/apache/arrow/issues/37876)).
+
+## Arrow Flight RPC notes
+
+A new RPC method was added to allow polling for completion in long-running
queries as an alternative to the blocking GetFlightInfo call
([GH-36155](https://github.com/apache/arrow/issues/36155)). Also,
`app_metadata` was added to `FlightInfo` and `FlightEndpoint`
([GH-37635](https://github.com/apache/arrow/issues/37635)).
+
+In C++ and Python, an experimental asynchronous GetFlightInfo call was added
to the client-side API
([GH-36512](https://github.com/apache/arrow/issues/36512)). `ServerCallContext`
now exposes conveniences to send headers/trailers without having to use
middleware ([GH-36952](https://github.com/apache/arrow/issues/36952)). The
implementation was fixed to not reject unknown field tags to enable
interoperability with future versions of Flight that could add new fields
([GH-36975](https://github.com/apache/arrow/issues/36975)). The CMake
configuration was fixed to correctly require linking to Arrow Flight RPC when
using Arrow Flight SQL
([GH-37406](https://github.com/apache/arrow/issues/37406)).
+
+In Go, the underlying generated Protobuf code is now exposed for easier
low-level integrations with Flight
([GH-36893](https://github.com/apache/arrow/issues/36893)).
+
+In Java, the stateful "login" authentication APIs using the Handshake RPC are
deprecated; it will not be removed, but it should not be used unless you
specifically want the old behavior
([GH-37722](https://github.com/apache/arrow/issues/37722)). Utilities were
added to help implement basic Flight SQL services for unit testing
([GH-37795](https://github.com/apache/arrow/issues/37795)).
+
+## C++ notes
+
+## C# notes
+
+## Go notes
+
+## Java notes
+
+Java 21 is enabled and validated in CI
([GH-37914](https://github.com/apache/arrow/issues/37914)).
+
+The Gandiva module implemented a breaking change by moving `Types.proto` into
a subfolder ([GH-37893](https://github.com/apache/arrow/issues/37893)).
+
+`DefaultVectorComparators` added support for `LargeVarCharVector`,
`LargeVarBinaryVector`
([GH-25659](https://github.com/apache/arrow/issues/25659)) and for `BitVector`,
`DateDayVector`, `DateMilliVector`
+`Decimal256Vector`, `DecimalVector`, `DurationVector`, `IntervalDayVector`,
`TimeMicroVector`, `TimeMilliVector`, `TimeNanoVector`, `TimeSecVector`,
`TimeStampVector` ([GH-37701](https://github.com/apache/arrow/issues/37701)).
+
+A bug was fixed in `VectorAppender` to prevent resizing the data buffer twice
when appending variable-length vectors
([GH-37829](https://github.com/apache/arrow/issues/37829)).
+
+`VarCharWriter` added support for writing from `Text` and `String`
([GH-37706](https://github.com/apache/arrow/issues/37706)). `VarBinaryWriter`
added support for writing from `byte[]` and `ByteBuffer`
([GH-37705](https://github.com/apache/arrow/issues/37705)).
+
+The JDBC driver will now ignore username and password authentication if a
token is provided ([GH-37073](https://github.com/apache/arrow/issues/37073)).
+
+A bug was fixed in the Java C-Data interface when importing a vector with an
empty array ([GH-37056](https://github.com/apache/arrow/issues/37056)).
+
+A bug was fixed in the S3 file system implementation when closing the
connection ([GH-36069](https://github.com/apache/arrow/issues/36069)).
+
+Arrow datasets now support Substrait `ExtendedExpression`s as inputs to filter
and project operations
([GH-34252](https://github.com/apache/arrow/issues/34252)).
+
+## JavaScript notes
+
+* GH-21815: [JS] Add support for Duration type #37341
+* GH-31621: [JS] Fix Union null bitmaps #37122
+
+## Python notes
Review Comment:
```suggestion
## Python notes
Compatibility notes:
* Support for Python 3.12 was added
[GH-37880](https://github.com/apache/arrow/issues/37880)
* Support for Cython 3 was added
[GH-37742](https://github.com/apache/arrow/issues/37742)
* PyArrow is now compatible with numpy 2.0
[GH-37574](https://github.com/apache/arrow/issues/37574)
* `pyarrow.compute.CumulativeSumOptions` has been deprecated, use
`pyarrow.compute.CumulativeOptions` instead
[GH-36240](https://github.com/apache/arrow/issues/36240)
New features:
* Allow type promotion added on `pyarrow.concat_tables`
[GH-36845](https://github.com/apache/arrow/issues/36845)
* Support for vector function UDF was added
[GH-36672](https://github.com/apache/arrow/issues/36672)
Other improvements:
* `pyarrow.MapScalar.as_py`can now be called with custom field name
[GH-36809](https://github.com/apache/arrow/issues/36809)
* The default of `pre_buffer` is now set to `True` for reading Parquet when
using `pyarrow.dataset` directly. This can give significant speed-up on
filesystems like S3 and is now aligned to `pyarrow.parquet.read_table`
interface [GH-36765](https://github.com/apache/arrow/issues/36765)
* Path to timezone database can now be set through python API
([GH-35600](https://github.com/apache/arrow/issues/35600), [GH-38145]
(https://github.com/apache/arrow/issues/38145))
Relevant bug fixes:
* String to date cast kernel was added to fix python scalar cast regression
[GH-37411](https://github.com/apache/arrow/issues/37411)
* Fix conversion from Python to Arrow when chunking large nested structs
[GH-32439](https://github.com/apache/arrow/issues/32439)
* Fix segfault when passing table as argument to `pyarrow.Table.filter`
[GH-37650](https://github.com/apache/arrow/issues/37650)
* `use_threads` keyword was added to the `group_by` method on
`pyarrow.Table` which gets passed through to the
`pyarrow.acero.Declaration.to_table` call. Specifing `use_threads=False`allows
to get stable ordering of the output
[GH-36709](https://github.com/apache/arrow/issues/36709)
* Fix printable representation for `pyarrow.TimestampScalar` when values are
outside datetime range [GH-36323](https://github.com/apache/arrow/issues/36323)
* Empty dataframes with zero chunks can now be consumed by the Dataframe
Interchange Protocol implementation
[GH-37050](https://github.com/apache/arrow/issues/37050)
* Fix dtype information for categorical columns in the Dataframe Interchange
Protocol implementation [GH-38034](https://github.com/apache/arrow/issues/38034)
* Boolean columns with bitsize 1 are now supported in `from_dataframe`of the
Dataframe Interchange Protocol
[GH-37145](https://github.com/apache/arrow/issues/37145)
```
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