alamb commented on code in PR #479:
URL: https://github.com/apache/arrow-site/pull/479#discussion_r1504165465
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_posts/2024-02-27-comet-donation.md:
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@@ -0,0 +1,87 @@
+---
+layout: post
+title: "Announcing Apache Arrow DataFusion Comet"
+date: "2024-02-27 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
+The Apache Arrow PMC is pleased to announce the donation of the [Comet
project],
+a native Spark Accelerator built on [Apache Arrow DataFusion].
+
+Comet is a Apache Spark Accelerator that uses Apache Arrow DataFusion to
+accelerate Spark workloads. It is written in Rust and designed as a drop-in
+replacement for Spark's JVM based execution engine and offers significant
+performance improvements for some workloads as shown below.
+
+```text
+┌───────────────────────────┐
+│ Spark │
+│ Frontend / Optimizer │
+│ (JVM Based) │
+└───────────────────────────┘
+ │
+ ▼
+┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
+┃ Comet ┃
+┃ Execution Engine ┃
+┃ (Native Code) ┃
+┗━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
+```
+
Review Comment:
That is a good image, but it is quite detailed
What I was hoping was to have an image that visually depicts the
relationship between Spark and Comet
Something similar maybe to
https://github.com/oap-project/gluten?tab=readme-ov-file#2-architecture
I don't know enough about how spark is implemented internally to make such a
picture now, though
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