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https://issues.apache.org/jira/browse/SPARK-24276?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24276:
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Assignee: (was: Apache Spark)
> semanticHash() returns different values for semantically the same IS IN
> -----------------------------------------------------------------------
>
> Key: SPARK-24276
> URL: https://issues.apache.org/jira/browse/SPARK-24276
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Maxim Gekk
> Priority: Minor
>
> When a plan is canonicalized any set-based operation, such as IS IN, should
> have its expressions ordered as the order of expressions does not matter in
> the evaluation of the operator.
> For instance:
> {code:scala}
> val df = spark.createDataFrame(Seq((1, 2)))
> val p1 = df.where('_1.isin(1, 2)).queryExecution.logical.canonicalized
> val p2 = df.where('_1.isin(2, 1)).queryExecution.logical.canonicalized
> val h1 = p1.semanticHash
> val h2 = p2.semanticHash
> {code}
> {code}
> df: org.apache.spark.sql.DataFrame = [_1: int, _2: int]
> p1: org.apache.spark.sql.catalyst.plans.logical.LogicalPlan =
> 'Filter '_1 IN (1,2)
> +- LocalRelation [_1#0, _2#1]
> p2: org.apache.spark.sql.catalyst.plans.logical.LogicalPlan =
> 'Filter '_1 IN (2,1)
> +- LocalRelation [_1#0, _2#1]
> h1: Int = -1384236508
> h2: Int = 939549189
> {code}
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