[GitHub] [arrow-site] bkietz commented on a change in pull request #92: 3.0 release blog post

[GitBox <gi...@apache.org>]

bkietz commented on a change in pull request #92:
URL: https://github.com/apache/arrow-site/pull/92#discussion_r568151444



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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.
+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 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
+
+The Decimal256 data type, which was already supported by the Arrow columnar
+format specification, is now implemented in C++ and Java (ARROW-9747).
+
+## Arrow Flight RPC notes
+
+Authentication in C++/Java/Python has been overhauled, allowing more flexible authentication methods and use of standard headers.
+Support for cookies has also been added.
+The C++/Java implementations are now more permissive when parsing messages in order to interoperate better with other Flight implementations.
+
+A basic Flight implementation for C#/.NET has been added.
+See the [implementation status matrix](https://arrow.apache.org/docs/status.html#flight-rpc) for details.
+## C++ notes
+
+The default memory pool can now be changed at runtime using the environment
+variable `ARROW_DEFAULT_MEMORY_POOL` (ARROW-11009).  The environment variable
+is inspected at process startup.  This is useful when trying to diagnose memory
+consumption issues with Arrow.
+
+STL-like iterators are now provided over concrete arrays. Those are useful for
+non-performance critical tasks, for example testing (ARROW-10776).
+
+It is now possible to concatenate dictionary arrays with unequal dictionaries.
+The dictionaries are unified when concatenating, for supported data types
+(ARROW-5336).
+
+Threads in a thread pool are now spawned lazily as needed for enqueued
+tasks, up to the configured capacity. They used to be spawned upfront on
+creation of the thread pool (ARROW-10038).
+
+### Compute layer
+
+Comprehensive documentation for compute functions is now available:
+https://arrow.apache.org/docs/cpp/compute.html
+
+Compute functions for string processing have been added for:
+* spliting on whitespace (ASCII and Unicode flavours) and splitting on a
+  pattern (ARROW-9991);
+* trimming characters (ARROW-9128).
+
+Behavior of the `index_in` and `is_in` compute functions with nulls has been
+changed for consistency (ARROW-10663).
+
+Multiple-column sort kernels are now available for tables and record batches
+(ARROW-8199, ARROW-10796, ARROW-10790).
+
+Performance of table filtering has been vastly improved (ARROW-10569).
+
+Scalar arguments are now accepted for more compute functions.
+
+Compute functions `quantile` (ARROW-10831) and `is_nan` (ARROW-11043) have been
+added for numeric data.
+
+Aggregation functions `any` (ARROW-1846) and `all` (ARROW-10301) have been
+added for boolean data.
+

Review comment:
       ```suggestion
   ### Dataset
   
   The `Expression` hierarchy has simplified to a wrapper around literals, field references,
   or calls to named functions. This enables usage of any compute function while filtering
   with no bolierplate.
   
   Parquet statistics are lazily parsed in `ParquetDatasetFactory` and
   `ParquetFileFragment` for shorter construction time.
   
   ```




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