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Posted to commits@arrow.apache.org by GitBox <gi...@apache.org> on 2022/02/15 05:51:14 UTC
[GitHub] [arrow-site] liukun4515 commented on a change in pull request #193: ARROW-15683: [Website] [DataFusion] DataFusion 7.0.0 blog post
liukun4515 commented on a change in pull request #193:
URL: https://github.com/apache/arrow-site/pull/193#discussion_r806465968
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File path: _posts/2022-02-14-datafusion-7.0.0.md
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@@ -0,0 +1,154 @@
+---
+layout: post
+title: Apache Arrow DataFusion 6.0.0 Release
+date: "2022-02-14 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 %}
+-->
+
+# Introduction
+
+[DataFusion](https://arrow.apache.org/datafusion/) is an extensible query execution framework, written in Rust, that uses Apache Arrow as its in-memory format.
+
+When you want to extend your Rust project with [SQL support](https://arrow.apache.org/datafusion/user-guide/sql/sql_status.html), a DataFrame API, or the ability to read and process Parquet, JSON, Avro or CSV data, DataFusion is definitely worth checking out.
+
+DataFusion's SQL, `DataFrame`, and manual `PlanBuilder` API let users access a sophisticated query optimizer and execution engine capable of fast, resource efficient, and parallel execution that takes optimal advantage of todays multicore hardware. Being written in Rust means DataFusion can offer *both* the safety of dynamic languages as well as the resource efficiency of a compiled language.
+
+The Apache Arrow team is pleased to announce the DataFusion 7.0.0 release. This covers 4 months of development work
+and includes 195 commits from the following 37 distinct contributors.
+
+<!--
+git log --pretty=oneline 5.0.0..6.0.0 datafusion datafusion-cli datafusion-examples | wc -l
+ 134
+
+git shortlog -sn 5.0.0..6.0.0 datafusion datafusion-cli datafusion-examples | wc -l
+ 29
+
+ Carlos and xudong963 are same individual
+-->
+
+```
+ 44 Andrew Lamb
+ 24 Kun Liu
+ 23 Jiayu Liu
+ 12 xudong.w
+ 11 Yijie Shen
+ 9 Matthew Turner
+ 7 Liang-Chi Hsieh
+ 5 Lin Ma
+ 5 Carlos
+ 4 Stephen Carman
+ 4 James Katz
+ 4 Dmitry Patsura
+ 4 QP Hou
+ 3 dependabot[bot]
+ 3 Remzi Yang
+ 3 Yang
+ 3 ic4y
+ 3 Daniël Heres
+ 2 Andy Grove
+ 2 Raphael Taylor-Davies
+ 2 Jason Tianyi Wang
+ 2 Dan Harris
+ 2 Sergey Melnychuk
+ 1 Nitish Tiwari
+ 1 Dom
+ 1 Eduard Karacharov
+ 1 Javier Goday
+ 1 Boaz
+ 1 Marko Mikulicic
+ 1 Max Burke
+ 1 Carol (Nichols || Goulding)
+ 1 Phillip Cloud
+ 1 Rich
+ 1 Toby Hede
+ 1 Will Jones
+ 1 r.4ntix
+ 1 rdettai
+```
+
+The following section highlights some of the improvements in this release. Of course, many other bug fixes and improvements have also been made and we refer you to the complete [changelog](https://github.com/apache/arrow-datafusion/blob/7.0.0/datafusion/CHANGELOG.md) for the full detail.
Review comment:
The link of the changelog is invalid.
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