GitHub user j4munoz opened a pull request:

    https://github.com/apache/spark/pull/13849

    ArrayIndexOutOfBoundsException fixed

    ## What changes were proposed in this pull request?
    
    There is an error when I execute this code because "trueWeights" array has 
length "features + 1", whereas "x" array has length "features".
    
    
    ## How was this patch tested?
    
    Manual tests
    
    
    java.lang.ArrayIndexOutOfBoundsException: 2
        at org.netlib.blas.Ddot.ddot(blas.f)
        at com.github.fommil.netlib.F2jBLAS.ddot(F2jBLAS.java:71)
        at 
org.apache.spark.mllib.util.SVMDataGenerator$$anonfun$3.apply(SVMDataGenerator.scala:66)
        at 
org.apache.spark.mllib.util.SVMDataGenerator$$anonfun$3.apply(SVMDataGenerator.scala:60)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13$$anonfun$apply$6.apply$mcV$sp(PairRDDFunctions.scala:1198)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13$$anonfun$apply$6.apply(PairRDDFunctions.scala:1197)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13$$anonfun$apply$6.apply(PairRDDFunctions.scala:1197)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1250)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1205)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1185)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/j4munoz/spark patch-1

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/13849.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #13849
    
----
commit 0e2f73be6d5ec3c3968d322947eefd36ff54a87f
Author: j4munoz <[email protected]>
Date:   2016-06-22T15:25:01Z

    ArrayIndexOutOfBoundsException fixed
    
    java.lang.ArrayIndexOutOfBoundsException: 2
        at org.netlib.blas.Ddot.ddot(blas.f)
        at com.github.fommil.netlib.F2jBLAS.ddot(F2jBLAS.java:71)
        at 
org.apache.spark.mllib.util.SVMDataGenerator$$anonfun$3.apply(SVMDataGenerator.scala:66)
        at 
org.apache.spark.mllib.util.SVMDataGenerator$$anonfun$3.apply(SVMDataGenerator.scala:60)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
        at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13$$anonfun$apply$6.apply$mcV$sp(PairRDDFunctions.scala:1198)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13$$anonfun$apply$6.apply(PairRDDFunctions.scala:1197)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13$$anonfun$apply$6.apply(PairRDDFunctions.scala:1197)
        at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1250)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1205)
        at 
org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1185)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)

----


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