[
https://issues.apache.org/jira/browse/SPARK-31563?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun resolved SPARK-31563.
-----------------------------------
Fix Version/s: 3.0.0
2.4.6
Resolution: Fixed
Issue resolved by pull request 28343
[https://github.com/apache/spark/pull/28343]
> Failure of InSet.sql for UTF8String collection
> ----------------------------------------------
>
> Key: SPARK-31563
> URL: https://issues.apache.org/jira/browse/SPARK-31563
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.5, 3.0.0, 3.1.0
> Reporter: Maxim Gekk
> Assignee: Maxim Gekk
> Priority: Major
> Fix For: 2.4.6, 3.0.0
>
>
> The InSet expression works on collections of internal Catalyst's types. We
> can see this in the optimization when In is replaced by InSet, and In's
> collection is evaluated to internal Catalyst's values:
> [https://github.com/apache/spark/blob/branch-2.4/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/expressions.scala#L253-L254]
> {code:scala}
> if (newList.length > SQLConf.get.optimizerInSetConversionThreshold) {
> val hSet = newList.map(e => e.eval(EmptyRow))
> InSet(v, HashSet() ++ hSet)
> }
> {code}
> The code existed before the optimization
> https://github.com/apache/spark/pull/25754 that made another wrong assumption
> about collection types.
> If InSet accepts only internal Catalyst's types, the following code shouldn't
> fail:
> {code:scala}
> InSet(Literal("a"), Set("a", "b").map(UTF8String.fromString)).sql
> {code}
> but it fails with the exception:
> {code}
> Unsupported literal type class org.apache.spark.unsafe.types.UTF8String a
> java.lang.RuntimeException: Unsupported literal type class
> org.apache.spark.unsafe.types.UTF8String a
> at
> org.apache.spark.sql.catalyst.expressions.Literal$.apply(literals.scala:88)
> at
> org.apache.spark.sql.catalyst.expressions.InSet.$anonfun$sql$2(predicates.scala:522)
> {code}
>
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