You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2018/09/10 13:43:00 UTC
[jira] [Resolved] (SPARK-25036) Scala 2.12 issues: Compilation
error with sbt
[ https://issues.apache.org/jira/browse/SPARK-25036?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-25036.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.4.0
> 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: 2.4.0
> Reporter: Kazuaki Ishizaki
> Assignee: Kazuaki Ishizaki
> Priority: Major
> Fix For: 2.4.0
>
>
> When compiling with sbt, the following errors occur:
> There are -two- three types:
> 1. {{ExprValue.isNull}} is compared with unexpected type.
> 2. {{match may not be exhaustive}} is detected at {{match}}
> 3. discarding unmoored doc comment
> The first one is more serious since it may also generate incorrect code in Spark 2.3.
> {code:java}
> [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}
> {code:java}
> [error] [warn] /home/ishizaki/Spark/PR/scala212/spark/mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala:410: discarding unmoored doc comment
> [error] [warn] /**
> [error] [warn]
> [error] [warn] /home/ishizaki/Spark/PR/scala212/spark/mllib/src/main/scala/org/apache/spark/ml/tree/impl/RandomForest.scala:441: discarding unmoored doc comment
> [error] [warn] /**
> [error] [warn]
> ...
> [error] [warn] /home/ishizaki/Spark/PR/scala212/spark/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala:440: discarding unmoored doc comment
> [error] [warn] /**
> [error] [warn]
> {code}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org