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[GitHub] [arrow-site] thinkharderdev commented on a change in pull request #193: ARROW-15683: [Website] [DataFusion] DataFusion 7.0.0 blog post
thinkharderdev commented on a change in pull request #193:
URL: https://github.com/apache/arrow-site/pull/193#discussion_r807168975
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File path: _posts/2022-02-14-datafusion-7.0.0.md
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@@ -0,0 +1,166 @@
+---
+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 supports both a SQL and DataFrame API for building logical query plans as well as a sophisticated query optimizer and execution engine capable of parallel execution against memory, CSV, Parquet, Avro and JSON.
+
+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 release notes below are not exhaustive and only expose selected highlights of the release. Many other bug fixes
+and improvements have been made: we refer you to the complete
+[changelog](https://github.com/apache/arrow-datafusion/blob/7.0.0/datafusion/CHANGELOG.md).
+
+# Summary
+
+There have been significant improvements across the board since the 6.0 release which are summarized below.
+
+- DataFusion Crate
+ - The DataFusion crate is in the process of being split into multiple crates in order to decrease compilation times and improve the development experience. To start, datafusion-common (the core DataFusion components) and datafusion-expr (DataFusion expressions, functions, and operators) will be split out. There will be additional splits after the 7.0 release.
+- Performance Improvements and Optimizations
+ - Arrow’s dyn scalar kernels are now used which enable more efficient operations on DictionaryArrays [#1685](https://github.com/apache/arrow-datafusion/pull/1685)
+ - Switch from std::sync::Mutex to parking_lot::Mutex [#1720](https://github.com/apache/arrow-datafusion/pull/1720)
+- New Features
+ - Better support for limiting resource usage
+ - MemoryMananger and DiskManager [#1526](https://github.com/apache/arrow-datafusion/pull/1526)
+ - Out of core sort [#1526](https://github.com/apache/arrow-datafusion/pull/1526)
+ - New metrics
+ - `Gauge` and `CurrentMemoryUsage` [#1682](https://github.com/apache/arrow-datafusion/pull/1682)
+ - `Spill_count` and `spilled_bytes` [#1641](https://github.com/apache/arrow-datafusion/pull/1641)
+ - New math functions
+ - `Approx_quantile` [#1529](https://github.com/apache/arrow-datafusion/pull/1539)
+ - `stddev` and `variance` (sample and population) [#1525](https://github.com/apache/arrow-datafusion/pull/1525)
+ - `corr` [#1561](https://github.com/apache/arrow-datafusion/pull/1561)
+ - Support decimal type [#1394](https://github.com/apache/arrow-datafusion/pull/1394)[#1407](https://github.com/apache/arrow-datafusion/pull/1407)[#1408](https://github.com/apache/arrow-datafusion/pull/1408)[#1431](https://github.com/apache/arrow-datafusion/pull/1431)[#1483](https://github.com/apache/arrow-datafusion/pull/1483)[#1554](https://github.com/apache/arrow-datafusion/pull/1554)[#1640](https://github.com/apache/arrow-datafusion/pull/1640)
+ - Support for evolved schemas [#1622](https://github.com/apache/arrow-datafusion/pull/1622)[#1709](https://github.com/apache/arrow-datafusion/pull/1709)
Review comment:
That's right. Merging already worked for everything except Parquet
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