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* Blog post for Comet 0.3.0 * Fix documentation section
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layout: post | ||
title: "Apache DataFusion Comet 0.3.0 Release" | ||
date: "2024-09-27 00:00:00" | ||
author: pmc | ||
categories: [subprojects] | ||
--- | ||
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Licensed to the Apache Software Foundation (ASF) under one or more | ||
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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 | ||
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--> | ||
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The Apache DataFusion PMC is pleased to announce version 0.3.0 of the [Comet](https://datafusion.apache.org/comet/) subproject. | ||
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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. | ||
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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. | ||
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[compatibility guide]: https://datafusion.apache.org/comet/user-guide/compatibility.html | ||
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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. | ||
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[change log]: https://github.com/apache/datafusion-comet/blob/main/dev/changelog/0.3.0.md | ||
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## Release Highlights | ||
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### Binary Releases | ||
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Comet jar files are now published to Maven central for amd64 and arm64 architectures (Linux only). | ||
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Files can be found at https://central.sonatype.com/search?q=org.apache.datafusion | ||
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- Spark versions 3.3, 3.4, and 3.5 are supported. | ||
- Scala versions 2.12 and 2.13 are supported. | ||
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### New Features | ||
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The following expressions are now supported natively: | ||
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- `DateAdd` | ||
- `DateSub` | ||
- `ElementAt` | ||
- `GetArrayElement` | ||
- `ToJson` | ||
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### Performance & Stability | ||
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- 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 | ||
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### Documentation Updates | ||
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- 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 | ||
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[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 | ||
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## Getting Involved | ||
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The Comet project welcomes new contributors. We use the same [Slack and Discord] channels as the main DataFusion | ||
project. | ||
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[Slack and Discord]: https://datafusion.apache.org/contributor-guide/communication.html#slack-and-discord | ||
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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. | ||
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[Getting Started]: https://datafusion.apache.org/comet/user-guide/installation.html | ||
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There are also many [good first issues] waiting for contributions. | ||
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[good first issues]: https://github.com/apache/datafusion-comet/contribute |