[jira] [Commented] (SPARK-42691) Implement Dataset.semanticHash
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https://issues.apache.org/jira/browse/SPARK-42691?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17698935#comment-17698935
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Apache Spark commented on SPARK-42691:
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User 'beliefer' has created a pull request for this issue:
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
>
> 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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[jira] [Commented] (SPARK-42691) Implement Dataset.semanticHash
[
https://issues.apache.org/jira/browse/SPARK-42691?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17698872#comment-17698872
]
jiaan.geng commented on SPARK-42691:
I will take a look!
> 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
>
> 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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