bkietz commented on a change in pull request #79:
URL: https://github.com/apache/arrow-site/pull/79#discussion_r510122878
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File path: _posts/2020-10-15-2.0.0-release.md
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+---
+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
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+(the "License"); you may not use this file except in compliance with
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+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
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+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 2.0.0 release. This covers
+over 3 months of development work and includes [**511 resolved issues**][1]
+from [**81 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
+
+Since the 1.0.0 release, [Jorge Leitão][5] has been added as a committer.
Thank you for your contributions!
+
+## 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
+
Review comment:
```suggestion
Parquet reading now supports round trip of arbitrarily nested data. Several
bug fixes
for writing nested data and FixedSizeList. If writing data with these type
we recommend validating
old data (there is potential some data loss) and upgrade to 2.0. This
includes extension types
with a nested storage type.
Dataset writing is more aggressively parallelized, and gains several points
of configuration:
- Basenames of written files can be specified with a string template,
allowing non-colliding writes into the same partitioned dataset.
- Support for arbitrary parquet writer properties, including control over
accumulation of statistics for individual columns.
- Support for arbitrary ipc write options, including body buffer compression.
```
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