HyukjinKwon commented on PR #46649:
URL: https://github.com/apache/spark/pull/46649#issuecomment-2118744355
For a bit of more context, the test fails as below:
```
org.apache.spark.sql.AnalysisException:
[DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve
"raise_error(USER_RAISED_EXCEPTION, map(errorMessage, 'aa' collate
UTF8_BINARY_LCASE))" due to data type mismatch: The second parameter requires
the "MAP<STRING, STRING>" type, however "map(errorMessage, 'aa' collate
UTF8_BINARY_LCASE)" has the type "MAP<STRING, STRING COLLATE
UTF8_BINARY_LCASE>". SQLSTATE: 42K09; line 1 pos 7;
'Project [unresolvedalias(raise_error(cast(USER_RAISED_EXCEPTION as string
collate UTF8_BINARY_LCASE), map(errorMessage, aa), NullType))]
+- OneRowRelation
at
org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7$adapted(CheckAnalysis.scala:302)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:244)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreachUp$1(TreeNode.scala:243)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$foreachUp$1$adapted(TreeNode.scala:243)
at scala.collection.immutable.Vector.foreach(Vector.scala:2124)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:243)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$6(CheckAnalysis.scala:302)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$6$adapted(CheckAnalysis.scala:302)
at scala.collection.immutable.List.foreach(List.scala:334)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$2(CheckAnalysis.scala:302)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$2$adapted(CheckAnalysis.scala:216)
at
org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:244)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis0(CheckAnalysis.scala:216)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis0$(CheckAnalysis.scala:198)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis0(Analyzer.scala:192)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis(CheckAnalysis.scala:190)
at
org.apache.spark.sql.catalyst.analysis.CheckAnalysis.checkAnalysis$(CheckAnalysis.scala:161)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.checkAnalysis(Analyzer.scala:192)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.$anonfun$executeAndCheck$1(Analyzer.scala:214)
at
org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper$.markInAnalyzer(AnalysisHelper.scala:393)
at
org.apache.spark.sql.catalyst.analysis.Analyzer.executeAndCheck(Analyzer.scala:212)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$analyzed$1(QueryExecution.scala:92)
at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:138)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$2(QueryExecution.scala:225)
at
org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:599)
at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:225)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:923)
at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:224)
at
org.apache.spark.sql.execution.QueryExecution.analyzed$lzycompute(QueryExecution.scala:92)
at
org.apache.spark.sql.execution.QueryExecution.analyzed(QueryExecution.scala:89)
at
org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:73)
at org.apache.spark.sql.Dataset$.$anonfun$ofRows$3(Dataset.scala:118)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:923)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:115)
at
org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:660)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:923)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:651)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:681)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77)
at
java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:568)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at
py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:840)
```
because it fails to add a cast from `MapType(StringType, collated
StringType)` to `MapType(StringType, StringType)`. For ANSI, the cast is added
here:
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/AnsiTypeCoercion.scala#L206-L211
cc @gengliangwang too
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