[jira] [Resolved] (SPARK-42691) Implement Dataset.semanticHash

["Ruifeng Zheng (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-42691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ruifeng Zheng resolved SPARK-42691.
-----------------------------------
    Fix Version/s: 3.4.0
       Resolution: Fixed

Issue resolved by pull request 40366
[https://github.com/apache/spark/pull/40366]

> Implement Dataset.semanticHash
> ------------------------------
>
>                 Key: SPARK-42691
>                 URL: https://issues.apache.org/jira/browse/SPARK-42691
>             Project: Spark
>          Issue Type: New Feature
>          Components: Connect
>    Affects Versions: 3.4.0
>            Reporter: Herman van Hövell
>            Priority: Major
>             Fix For: 3.4.0
>
>
> Implement Dataset.semanticHash:
> {code:java}
> /**
> * Returns a `hashCode` of the logical query plan against this [[Dataset]].
> *
> * @note Unlike the standard `hashCode`, the hash is calculated against the query plan
> * simplified by tolerating the cosmetic differences such as attribute names.
> * @since 3.4.0
> */
> @DeveloperApi
> def semanticHash(): Int{code}
> This has to be computed on the spark connect server to do this. Please extend the 
> AnalyzePlanRequest and AnalyzePlanResponse messages for this.
> Also make sure this works in PySpark.



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