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https://issues.apache.org/jira/browse/SPARK-27537?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-27537.
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    Resolution: Duplicate

JDK 11 is in progress

> spark-2.4.1/mlib-local/src/test/scala/org/apache/spark/ml/linalg/MatricesSuite.scala.866:Value
>  size is not a member of Object
> -----------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-27537
>                 URL: https://issues.apache.org/jira/browse/SPARK-27537
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 2.3.0, 2.4.1
>         Environment: Machine:aarch64
> OS:Red Hat Enterprise Linux Server release 7.4
> Kernel:4.11.0-44.el7a
> spark version: spark-2.4.1
> java:openjdk version "11.0.2" 2019-01-15
>           OpenJDK Runtime Environment AdoptOpenJDK (build 11.0.2+9)
> scala:2.11.12
> gcc version:4.8.5
>            Reporter: dingwei2019
>            Priority: Major
>              Labels: build, test
>
> {code}
> [ERROR]: [Error] 
> $SPARK_HOME/mlib-local/src/test/scala/org/apache/spark/ml/linalg/MatricesSuite.scala.866:Value
>  size is not a member of Object
> [ERROR]: [Error] 
> $SPARK_HOME/mlib-local/src/test/scala/org/apache/spark/ml/linalg/MatricesSuite.scala.869:Value
>  size is not a member of Object
> {code}
> ERROR: two errors found
> Below is the related code:
> {code}
> test("toString") {
>   val empty = Matrices.ones(0, 0)
>   empty.toString(0, 0)
>  
>   val mat = Matrices.rand(5, 10, new Random())
>   mat.toString(-1, -5)
>   mat.toString(0, 0)
>   mat.toString(Int.MinValue, Int.MinValue)
>   mat.toString(Int.MaxValue, Int.MaxValue)
>   var lines = mat.toString(6, 50).lines.toArray
>   assert(lines.size == 5 && lines.forall(_.size <= 50))
>  
>   lines = mat.toString(5, 100).lines.toArray
>   assert(lines.size == 5 && lines.forall(_.size <= 100))
> }
> {code}
> {code}
> test("numNonzeros and numActives") {
>   val dm1 = Matrices.dense(3, 2, Array(0, 0, -1, 1, 0, 1))
>   assert(dm1.numNonzeros === 3)
>   assert(dm1.numActives === 6)
>   val sm1 = Matrices.sparse(3, 2, Array(0, 2, 3), Array(0, 2, 1), Array(0.0, 
> -1.2, 0.0))
>   assert(sm1.numNonzeros === 1)
>   assert(sm1.numActives === 3)
> }
> {code}
> what shall i do to solve this problem, and when will spark support jdk11?



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