mrkn commented on a change in pull request #92:
URL: https://github.com/apache/arrow-site/pull/92#discussion_r567517552
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File path: _posts/2021-01-25-3.0.0-release.md
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+---
+layout: post
+title: "Apache Arrow 3.0.0 Release"
+date: "2021-01-25 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.
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+(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 3.0.0 release. This covers
+over 3 months of development work and includes [**666 resolved issues**][1]
+from [**106 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].
+
+
+## Columnar Format Notes
+
+ARROW-9747 - [C++][Java][Format] Support Decimal256 Type
+
+## Arrow Flight RPC notes
+
+## C++ notes
+
+
+Critical fixes in writing/reading of nested data with parquet ... (ARROW-10493)
+
+Several new compute kernels were added (any/all boolean reduction,
+``is_nan``, sorting by multiple columns).
+String kernels (trimming, splitting, filling nulls)
+
+Fixed reading of compressed Feather files written with pyarrow 0.17.
+
+
+ARROW-6883 - [C++] Support sending delta DictionaryBatch or replacement
DictionaryBatch in IPC stream writer class
+
+## C# notes
+
+## Go notes
+
+## Java notes
+
+## JavaScript notes
+## Julia notes
+
+This is the first release to officially include [an
implementation](https://github.com/apache/arrow/tree/master/julia/Arrow) for
the Julia language. The pure Julia implementation includes support for [wide
coverage of the format
specification](https://arrow.apache.org/docs/status.html). Additional details
can be found in the [julialang.org blog
post](https://julialang.org/blog/2021/01/arrow/).
+
+## Python notes
+
+Support for Python 3.5 was dropped, and support for Python 3.9 added.
+The minimal required version for NumPy is now 1.16.6. Note that when upgrading
+NumPy to 1.20, you also need to upgrade pyarrow to 3.0.0 to ensure
compatibility.
+
+
+## R notes
+
+This release contains new features for the Flight RPC wrapper, better
+support for saving R metadata (including `sf` spatial data) to Feather and
+Parquet files, several significant improvements to speed and memory management,
+and many other enhancements.
+
+For more on what’s in the 3.0.0 R package, see the [R changelog][4].
+
+## Ruby and C GLib notes
+
+### Ruby
+
+### C GLib
Review comment:
```suggestion
### Ruby
In Ruby binding, 256-bit decimal support and
`Arrow::FixedBinaryArrayBuilder` are added likewise C GLib below.
### C GLib
In the version 3.0.0 of C GLib consists of many new features.
A chunked array, a record batch, and a table support `sort_indices` function
as well as an array.
These functions including array's support to specify sorting option.
`garrow_array_sort_to_indices` has been renamed to
`garrow_array_sort_indices` and the previous name has been deprecated.
`GArrowField` supports functions to handle metadata.
`GArrowSchema` supports `garrow_schema_has_metadata()` function.
`GArrowArrayBuilder` supports to add single null, multiple nulls, single
empty value, and multiple empty values.
`GArrowFixedSizedBinaryArrayBuilder` is newly supported.
256-bit decimal and extension types are newly supported.
Filesystem module supports Mock, HDFS, S3 file systems.
Dataset module supports CSV, IPC, and Parquet file formats.
```
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