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--- | ||
layout: post | ||
title: Preview release of Spark 4.0 | ||
categories: | ||
- News | ||
tags: [] | ||
status: publish | ||
type: post | ||
published: true | ||
meta: | ||
_edit_last: '4' | ||
_wpas_done_all: '1' | ||
--- | ||
To enable wide-scale community testing of the upcoming Spark 4.0 release, the Apache Spark community has posted a preview release of | ||
Spark 4.0. This preview is not a stable release in terms of either API or functionality, but it is meant to give the community early | ||
access to try the code that will become Spark 4.0. If you would like to test the release, please download it, and send feedback using | ||
either the mailing lists or JIRA. | ||
|
||
There are a lot of exciting new features added to Spark 4.0, including ANSI mode by default, Python data source, polymorphic | ||
Python UDTF, string collation support, new VARIANT data type, streaming state store data source, structured logging, Java 17 by default, | ||
and many more. | ||
|
||
We'd like to thank our contributors and users for their contributions and early feedback to this release. This release would not have | ||
been possible without you. | ||
|
||
To download Spark 4.0.0-preview1, head over to the <a href="https://archive.apache.org/dist/spark/spark-4.0.0-preview1">download page</a>. | ||
It's also available in PyPI, with version name "4.0.0.dev1". |
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