From 56528624cb8b45f7df48bbd31a038c86a3f06d85 Mon Sep 17 00:00:00 2001
From: Andy Grove <agrove@apache.org>
Date: Mon, 7 Oct 2024 16:18:26 -0600
Subject: [PATCH] Blog post for Comet 0.3.0 (#28)

* Blog post for Comet 0.3.0

* Fix documentation section
---
 _posts/2024-09-27-datafusion-comet-0.3.0.md | 97 +++++++++++++++++++++
 1 file changed, 97 insertions(+)
 create mode 100644 _posts/2024-09-27-datafusion-comet-0.3.0.md

diff --git a/_posts/2024-09-27-datafusion-comet-0.3.0.md b/_posts/2024-09-27-datafusion-comet-0.3.0.md
new file mode 100644
index 0000000..2633d55
--- /dev/null
+++ b/_posts/2024-09-27-datafusion-comet-0.3.0.md
@@ -0,0 +1,97 @@
+---
+layout: post
+title: "Apache DataFusion Comet 0.3.0 Release"
+date: "2024-09-27 00:00:00"
+author: pmc
+categories: [subprojects]
+---
+
+<!--
+{% 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 DataFusion PMC is pleased to announce version 0.3.0 of the [Comet](https://datafusion.apache.org/comet/) subproject.
+
+Comet is an accelerator for Apache Spark that translates Spark physical plans to DataFusion physical plans for
+improved performance and efficiency without requiring any code changes.
+
+Comet runs on commodity hardware and aims to provide 100% compatibility with Apache Spark. Any operators or
+expressions that are not fully compatible will fall back to Spark unless explicitly enabled by the user. Refer
+to the [compatibility guide] for more information.
+
+[compatibility guide]: https://datafusion.apache.org/comet/user-guide/compatibility.html
+
+This release covers approximately four weeks of development work and is the result of merging 57 PRs from 12 
+contributors. See the [change log] for more information.
+
+[change log]: https://github.com/apache/datafusion-comet/blob/main/dev/changelog/0.3.0.md
+
+## Release Highlights
+
+### Binary Releases
+
+Comet jar files are now published to Maven central for amd64 and arm64 architectures (Linux only).
+
+Files can be found at https://central.sonatype.com/search?q=org.apache.datafusion
+
+- Spark versions 3.3, 3.4, and 3.5 are supported.
+- Scala versions 2.12 and 2.13 are supported.
+ 
+### New Features
+
+The following expressions are now supported natively:
+ 
+- `DateAdd`
+- `DateSub`
+- `ElementAt`
+- `GetArrayElement`
+- `ToJson`
+
+### Performance & Stability
+
+- Upgraded to DataFusion 42.0.0
+- Reduced memory overhead due to some memory leaks being fixed
+- Comet will now fall back to Spark for queries that use DPP, to avoid performance regressions because Comet does 
+  not have native support for DPP yet
+- Improved performance when converting Spark columnar data to Arrow format
+- Faster decimal sum and avg functions 
+
+### Documentation Updates
+
+- Improved documentation for deploying Comet with Kubernetes and Helm in the [Comet Kubernetes Guide]
+- More detailed architectural overview of Comet scan and execution in the [Comet Plugin Overview] in the contributor guide
+
+[Comet Kubernetes Guide]: https://datafusion.apache.org/comet/user-guide/kubernetes.html
+[Comet Plugin Overview]: https://datafusion.apache.org/comet/contributor-guide/plugin_overview.html
+
+## Getting Involved
+
+The Comet project welcomes new contributors. We use the same [Slack and Discord] channels as the main DataFusion
+project.
+
+[Slack and Discord]: https://datafusion.apache.org/contributor-guide/communication.html#slack-and-discord
+
+The easiest way to get involved is to test Comet with your current Spark jobs and file issues for any bugs or
+performance regressions that you find. See the [Getting Started] guide for instructions on downloading and installing
+Comet.
+
+[Getting Started]: https://datafusion.apache.org/comet/user-guide/installation.html
+
+There are also many [good first issues] waiting for contributions.
+
+[good first issues]: https://github.com/apache/datafusion-comet/contribute