[GitHub] [arrow-site] waitingkuo commented on a diff in pull request #254: [WEBSITE] Blog post about DataFusion 13.0.0

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

waitingkuo commented on code in PR #254:
URL: https://github.com/apache/arrow-site/pull/254#discussion_r1001361473


##########
_posts/2022-10-20-datafusion-13.0.0.md:
##########
@@ -0,0 +1,226 @@
+---
+layout: post
+title: "Apache Arrow DataFusion 13.0.0 Project Update"
+date: "2022-10-20 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
+
+[Apache Arrow DataFusion](https://arrow.apache.org/datafusion/) [`13.0.0`](https://crates.io/crates/datafusion) is released, and this blog contains an update on the project for the 5 months since our [last update in May 2022](https://arrow.apache.org/blog/2022/05/16/datafusion-8.0.0/).
+
+DataFusion is an extensible and embeddable query engine, written in Rust used to create modern, fast and efficient data pipelines, ETL processes, and database systems. You may want to check out DataFusion to extend your Rust project with:
+
+- [SQL support](https://arrow.apache.org/datafusion/user-guide/sql/sql_status.html),
+- [DataFrame API](https://docs.rs/datafusion/13.0.0/datafusion/dataframe/struct.DataFrame.html),
+- A custom Domain Specific Query Language
+- The ability to easily and quickly read and process Parquet, JSON, Avro or CSV data.
+- To read from remote object stores such as AWS S3, Azure Blob Storage, GCP.
+
+Even though DataFusion is 4 years "young," it has seen significant community growth in the last few months and the momentum continues to accelerate.
+
+# Background
+
+
+DataFusion is used as the engine in [many open source and commercial projects](https://github.com/apache/arrow-datafusion#known-uses) and was one of the early open source projects to provide this capability. 2022 has validated our belief in the need for such a ["LLVM for database and AI systems"](https://www.slideshare.net/AndrewLamb32/20220623-apache-arrow-and-datafusion-changing-the-game-for-implementing-database-systemspdf) with announcements such as the [release of FaceBook's Velox](https://engineering.fb.com/2022/08/31/open-source/velox/) engine, the major investments in [Acero](https://arrow.apache.org/docs/cpp/streaming_execution.html) as well as the continued popularity of [Apache Calcite](https://calcite.apache.org/) and other similar technologies.
+
+While Velox and Acero focus on execution engines, DataFusion provides the entire suite of components needed to build most analytic systems, including a SQL frontend, a dataframe API, and  extension points for just about everything. Some [DataFusion users](https://github.com/apache/arrow-datafusion#known-uses) use a subset of the features such as the frontend (e.g. (dask-sql)[https://dask-sql.readthedocs.io/en/latest/] or the execution engine, such as [Blaze](https://github.com/blaze-init/blaze), and some users use many different components to build both SQL based and customized DSL based systems such as [InfluxDB IOx](https://github.com/influxdata/influxdb_iox/pulls) and [VegaFusion](https://github.com/vegafusion/vegafusion).
+
+One of DataFusion’s advantages is its implementation in [Rust](https://www.rust-lang.org/) and thus its easy integration with the broader Rust ecosystem. Rust continues to be a major source of benefit, from the [ease of parallelization with the high quality and standardized `async` ecosystem](https://www.influxdata.com/blog/using-rustlangs-async-tokio-runtime-for-cpu-bound-tasks/) , as well as its modern dependency management system and wonderful performance. <!-- I wonder if we should link to clickbench?? -->

Review Comment:
   it was the result from 12.0. i'll update it soon with the latest version



-- 
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.

To unsubscribe, e-mail: commits-unsubscribe@arrow.apache.org

For queries about this service, please contact Infrastructure at:
users@infra.apache.org