mrkn commented on a change in pull request #79:
URL: https://github.com/apache/arrow-site/pull/79#discussion_r505986813
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File path: _posts/2020-10-15-2.0.0-release.md
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@@ -0,0 +1,115 @@
+---
+layout: post
+title: "Apache Arrow 2.0.0 Release"
+date: "2020-10-14 00:00:00 -0600"
+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 %}
+-->
+
+<!--
+
+To use this template:
+
+* Update all "XX" values with the appropriate numbers (you can get the
resolved issues and contributors count from `_release/2.0.0.md`)
+* Fill in the various sections below. Note that the audience is the broader
user community, not Arrow developers, so please write clearly using terms they
will understand and care about. Delete any sections that don't have any content
(as in, there are no changes to announce)
+* Delete this introductory comment
+
+ -->
+
+
+The Apache Arrow team is pleased to announce the 2.0.0 release. This covers
+over XX months of development work and includes [**XX resolved issues**][1]
+from [**XX distinct contributors**][2]. See the Install Page 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
+
+<!-- Acknowledge and link to any new committers and PMC members since the last
release. See previous release announcements for examples. -->
+
+## Columnar Format Notes
+
+## Arrow Flight RPC notes
+For Arrow Flight, 2.0.0 mostly brings bugfixes. In Java, some memory leaks in
`FlightStream` and `DoPut` have been addressed. In C++ and Python, a deadlock
has been fixed in an edge case. Additionally, when supported by gRPC, TLS
verification can be disabled.
+## C++ notes
+
+## C# notes
+
+## Go notes
+
+## Java notes
+The Java package has supported a number of new features.
+Users can validate vectors in a wider range of aspects, if they are willing to
take more time.
+In dictionary encoding, dictionary indices can be expressed as unsinged
integers.
+A framework for data compression has been setup for IPC.
+
+The calculation for vector capacity has been simplified, so users should
experience notable performance
+improvements for various 'setSafe' methods.
+
+Bugs for JDBC adapters, sort algorithms, and ComplexCopier have been resolved
to make them more usable.
+## JavaScript notes
+
+## Python notes
+
+The `pyarrow.filesystem` submodule is deprecated in favor of new filesystem
+implementations in `pyarrow.fs`.
+
+The custom serialization functionality (`pyarrow.serialize()`,
+`pyarrow.deserialize()`, etc) is deprecated. Those functions provided a
+Python-specific (not cross-language) serialization format which were not
+compatible with the standardized Arrow (IPC) serialization format.
+For arbitrary objects, you can use the standard library ``pickle``
+functionality instead. For pyarrow objects, you can use the IPC
+serialization format through the ``pyarrow.ipc`` module, as explained
+above.
+
+The `pyarrow.compute` module now has a complete coverage of the available C++
+compute kernels in the python API. Several new kernels have been added (...
TODO
+list a few ...).
+
+The `pyarrow.dataset` module was further improved. In addition to reading,
+it is now also possible to write partitioned datasets (with `write_dataset()`).
+
+The Arrow <-> Python conversion code was refactored, fixing several bugs
+and corner cases.
+
+
+## R notes
+
+
+For more on what’s in the 2.0.0 R package, see the [R changelog][4].
+
+## Ruby and C GLib notes
+
+### Ruby
+
+### C GLib
+
Review comment:
```suggestion
The GLib binding newly supports `GArrowStringDictionaryArrayBuilder` and
`GArrowBinaryDictionaryArrayBuilder`.
Moreover the GLib binding supports new accessors of `GArrowListArray` and
`GArrowLargeListArray`. They are `get_values`, `get_value_offset`,
`get_value_length`, and `get_value_offsets`.
```
##########
File path: _posts/2020-10-15-2.0.0-release.md
##########
@@ -0,0 +1,115 @@
+---
+layout: post
+title: "Apache Arrow 2.0.0 Release"
+date: "2020-10-14 00:00:00 -0600"
+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 %}
+-->
+
+<!--
+
+To use this template:
+
+* Update all "XX" values with the appropriate numbers (you can get the
resolved issues and contributors count from `_release/2.0.0.md`)
+* Fill in the various sections below. Note that the audience is the broader
user community, not Arrow developers, so please write clearly using terms they
will understand and care about. Delete any sections that don't have any content
(as in, there are no changes to announce)
+* Delete this introductory comment
+
+ -->
+
+
+The Apache Arrow team is pleased to announce the 2.0.0 release. This covers
+over XX months of development work and includes [**XX resolved issues**][1]
+from [**XX distinct contributors**][2]. See the Install Page 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
+
+<!-- Acknowledge and link to any new committers and PMC members since the last
release. See previous release announcements for examples. -->
+
+## Columnar Format Notes
+
+## Arrow Flight RPC notes
+For Arrow Flight, 2.0.0 mostly brings bugfixes. In Java, some memory leaks in
`FlightStream` and `DoPut` have been addressed. In C++ and Python, a deadlock
has been fixed in an edge case. Additionally, when supported by gRPC, TLS
verification can be disabled.
+## C++ notes
+
+## C# notes
+
+## Go notes
+
+## Java notes
+The Java package has supported a number of new features.
+Users can validate vectors in a wider range of aspects, if they are willing to
take more time.
+In dictionary encoding, dictionary indices can be expressed as unsinged
integers.
+A framework for data compression has been setup for IPC.
+
+The calculation for vector capacity has been simplified, so users should
experience notable performance
+improvements for various 'setSafe' methods.
+
+Bugs for JDBC adapters, sort algorithms, and ComplexCopier have been resolved
to make them more usable.
+## JavaScript notes
+
+## Python notes
+
+The `pyarrow.filesystem` submodule is deprecated in favor of new filesystem
+implementations in `pyarrow.fs`.
+
+The custom serialization functionality (`pyarrow.serialize()`,
+`pyarrow.deserialize()`, etc) is deprecated. Those functions provided a
+Python-specific (not cross-language) serialization format which were not
+compatible with the standardized Arrow (IPC) serialization format.
+For arbitrary objects, you can use the standard library ``pickle``
+functionality instead. For pyarrow objects, you can use the IPC
+serialization format through the ``pyarrow.ipc`` module, as explained
+above.
+
+The `pyarrow.compute` module now has a complete coverage of the available C++
+compute kernels in the python API. Several new kernels have been added (...
TODO
+list a few ...).
+
+The `pyarrow.dataset` module was further improved. In addition to reading,
+it is now also possible to write partitioned datasets (with `write_dataset()`).
+
+The Arrow <-> Python conversion code was refactored, fixing several bugs
+and corner cases.
+
+
+## R notes
+
+
+For more on what’s in the 2.0.0 R package, see the [R changelog][4].
+
+## Ruby and C GLib notes
+
+### Ruby
+
Review comment:
```suggestion
In Ruby binding, `Arrow::Table#save` uses the number of rows as the
`chunk_size` parameter by default when the table is saved in a Parquet file.
```
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