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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/02/07 13:22:00 UTC
[jira] [Assigned] (SPARK-38130) array_sort does not allow non-orderable datatypes
[ https://issues.apache.org/jira/browse/SPARK-38130?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-38130:
------------------------------------
Assignee: Apache Spark
> array_sort does not allow non-orderable datatypes
> -------------------------------------------------
>
> Key: SPARK-38130
> URL: https://issues.apache.org/jira/browse/SPARK-38130
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.2.1
> Environment:
> Reporter: Steven Aerts
> Assignee: Apache Spark
> Priority: Major
>
> {{array_sort}} has check to see if the entries it has to sort are orderable.
> I think this check should be removed. Because even entries which are not orderable can have a lambda function which makes them orderable.
> {code:java}
> Seq((Array[Map[String, Int]](Map("a" -> 1), Map()), "x")).toDF("a", "b").selectExpr("array_sort(a, (x,y) -> cardinality(x) - cardinality(y))"){code}
> fails with:
> {code:java}
> org.apache.spark.sql.AnalysisException: cannot resolve 'array_sort(`a`, lambdafunction((cardinality(namedlambdavariable()) - cardinality(namedlambdavariable())), namedlambdavariable(), namedlambdavariable()))' due to data type mismatch: array_sort does not support sorting array of type map<string,int> which is not orderable {code}
> While the case where this check is relevant, fails with a different error which is triggered earlier in the code path:
> {code:java}
> > Seq((Array[Map[String, Int]](Map("a" -> 1), Map()), "x")).toDF("a", "b").selectExpr("array_sort(a)"){code}
> Fails with:
> {code:java}
> org.apache.spark.sql.AnalysisException: cannot resolve '(namedlambdavariable() < namedlambdavariable())' due to data type mismatch: LessThan does not support ordering on type map<string,int>; line 1 pos 0;
> {code}
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