[jira] [Created] (SPARK-25036) Scala 2.12 issues: Compilation error with sbt

["Kazuaki Ishizaki (JIRA)" <ji...@apache.org>]

Kazuaki Ishizaki created SPARK-25036:
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             Summary: Scala 2.12 issues: Compilation error with sbt
                 Key: SPARK-25036
                 URL: https://issues.apache.org/jira/browse/SPARK-25036
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.3.0, 2.4.0
            Reporter: Kazuaki Ishizaki


When compiling with sbt, the following errors occur:

There are two types:
1. {{ExprValue.isNull}} is compared with unexpected type.
1. {{match may not be exhaustive}} is detected at {{match}}

The first one is more serious since it may also generate incorrect code in Spark 2.3.

{code}
[error] [warn] /home/ishizaki/Spark/PR/scala212/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/statsEstimation/ValueInterval.scala:63: match may not be exhaustive.
[error] It would fail on the following inputs: (NumericValueInterval(_, _), _), (_, NumericValueInterval(_, _)), (_, _)
[error] [warn]   def isIntersected(r1: ValueInterval, r2: ValueInterval): Boolean = (r1, r2) match {
[error] [warn] 
[error] [warn] /home/ishizaki/Spark/PR/scala212/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/statsEstimation/ValueInterval.scala:79: match may not be exhaustive.
[error] It would fail on the following inputs: (NumericValueInterval(_, _), _), (_, NumericValueInterval(_, _)), (_, _)
[error] [warn]     (r1, r2) match {
[error] [warn] 
[error] [warn] /home/ishizaki/Spark/PR/scala212/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/ApproxCountDistinctForIntervals.scala:67: match may not be exhaustive.
[error] It would fail on the following inputs: (ArrayType(_, _), _), (_, ArrayData()), (_, _)
[error] [warn]     (endpointsExpression.dataType, endpointsExpression.eval()) match {
[error] [warn] 
[error] [warn] /home/ishizaki/Spark/PR/scala212/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala:470: match may not be exhaustive.
[error] It would fail on the following inputs: NewFunctionSpec(_, None, Some(_)), NewFunctionSpec(_, Some(_), None)
[error] [warn]     newFunction match {
[error] [warn] 
[error] [warn] /home/ishizaki/Spark/PR/scala212/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala:94: org.apache.spark.sql.catalyst.expressions.codegen.ExprValue and String are unrelated: they will most likely always compare unequal
[error] [warn]         if (eval.isNull != "true") {
[error] [warn] 
[error] [warn] /home/ishizaki/Spark/PR/scala212/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala:126: org.apache.spark.sql.catalyst.expressions.codegen.ExprValue and String are unrelated: they will most likely never compare equal
[error] [warn]              if (eval.isNull == "true") {
[error] [warn] 
[error] [warn] /home/ishizaki/Spark/PR/scala212/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala:133: org.apache.spark.sql.catalyst.expressions.codegen.ExprValue and String are unrelated: they will most likely never compare equal
[error] [warn]             if (eval.isNull == "true") {
[error] [warn] 
[error] [warn] /home/ishizaki/Spark/PR/scala212/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala:709: match may not be exhaustive.
[error] It would fail on the following input: Schema((x: org.apache.spark.sql.types.DataType forSome x not in org.apache.spark.sql.types.StructType), _)
[error] [warn]   def attributesFor[T: TypeTag]: Seq[Attribute] = schemaFor[T] match {
[error] [warn] 
[error] [warn] /home/ishizaki/Spark/PR/scala212/spark/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/GenerateUnsafeProjection.scala:90: org.apache.spark.sql.catalyst.expressions.codegen.ExprValue and String are unrelated: they will most likely never compare equal
[error] [warn]       if (inputs.map(_.isNull).forall(_ == "false")) {
[error] [warn] 
{code}



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