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Posted to issues@spark.apache.org by "Xinrong Meng (Jira)" <ji...@apache.org> on 2024/01/18 02:03:00 UTC
[jira] [Updated] (SPARK-42693) API Auditing
[ https://issues.apache.org/jira/browse/SPARK-42693?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xinrong Meng updated SPARK-42693:
---------------------------------
Parent: SPARK-42523
Issue Type: Sub-task (was: Story)
> API Auditing
> ------------
>
> Key: SPARK-42693
> URL: https://issues.apache.org/jira/browse/SPARK-42693
> Project: Spark
> Issue Type: Sub-task
> Components: ML, PySpark, Spark Core, SQL, Structured Streaming
> Affects Versions: 3.4.0
> Reporter: Xinrong Meng
> Assignee: Xinrong Meng
> Priority: Blocker
>
> Audit user-facing API of Spark 3.4. The main goal is to ensure public API docs to be ready for release, for example, no private classes/methods is leaking and marked public.
> There are 3 common ways to audit API:
> * build docs (into a local website) against branch-3.4 to check
> * 'git diff' to check the source code differences between v3.3.2 and branch-3.4
> * [https://github.com/apache/spark-website/pull/443] shows most of the API doc differences between v3.3.2 and the 3.4.0 RC4(the latest RC); commits are categorized by components
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