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https://issues.apache.org/jira/browse/SPARK-17801?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15563966#comment-15563966
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Joseph K. Bradley commented on SPARK-17801:
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Have you tried this with Spark 2.0?

> [ML]Random Forest Regression fails for large input
> --------------------------------------------------
>
>                 Key: SPARK-17801
>                 URL: https://issues.apache.org/jira/browse/SPARK-17801
>             Project: Spark
>          Issue Type: Bug
>          Components: ML
>    Affects Versions: 1.6.1
>         Environment: Ubuntu 14.04
>            Reporter: samkit
>            Priority: Minor
>
> Random Forest Regression
> Data:https://www.kaggle.com/c/grupo-bimbo-inventory-demand/download/train.csv.zip
> Parameters:
> NumTrees:500    Maximum Bins:7477383     MaxDepth:27
> MinInstancesPerNode:8648      SamplingRate:1.0
> Java Options:
> "-Xms16384M" "-Xmx16384M" "-Dspark.locality.wait=0s" 
> "-Dspark.driver.extraJavaOptions=-Xss10240k -XX:+PrintGCDetails 
> -XX:+PrintGCTimeStamps -XX:+PrintTenuringDistribution -XX:+UseConcMarkSweepGC 
> -XX:+UseParNewGC -XX:ParallelGCThreads=2 -XX:-UseAdaptiveSizePolicy 
> -XX:ConcGCThreads=2 -XX:-UseGCOverheadLimit  
> -XX:CMSInitiatingOccupancyFraction=75 -XX:NewSize=8g -XX:MaxNewSize=8g 
> -XX:SurvivorRatio=3 -DnumPartitions=36" "-Dspark.submit.deployMode=cluster" 
> "-Dspark.speculation=true" " "-Dspark.speculation.multiplier=2" 
> "-Dspark.driver.memory=16g" "-Dspark.speculation.interval=300ms"  
> "-Dspark.speculation.quantile=0.5" "-Dspark.akka.frameSize=768" 
> "-Dspark.driver.supervise=false" "-Dspark.executor.cores=6" 
> "-Dspark.executor.extraJavaOptions=-Xss10240k -XX:+PrintGCDetails 
> -XX:+PrintGCTimeStamps -XX:+PrintTenuringDistribution 
> -XX:-UseAdaptiveSizePolicy -XX:+UseParallelGC -XX:+UseParallelOldGC 
> -XX:ParallelGCThreads=6 -XX:NewSize=22g -XX:MaxNewSize=22g 
> -XX:SurvivorRatio=2 -XX:+PrintAdaptiveSizePolicy -XX:+PrintGCDateStamps" 
> "-Dspark.rpc.askTimeout=10" "-Dspark.executor.memory=40g" 
> "-Dspark.driver.maxResultSize=3g" "-Xss10240k" "-XX:+PrintGCDetails" 
> "-XX:+PrintGCTimeStamps" "-XX:+PrintTenuringDistribution" 
> "-XX:+UseConcMarkSweepGC" "-XX:+UseParNewGC" "-XX:ParallelGCThreads=2" 
> "-XX:-UseAdaptiveSizePolicy" "-XX:ConcGCThreads=2" "-XX:-UseGCOverheadLimit" 
> "-XX:CMSInitiatingOccupancyFraction=75" "-XX:NewSize=8g" "-XX:MaxNewSize=8g" 
> "-XX:SurvivorRatio=3" "-DnumPartitions=36"
> Partial Driver StackTrace:
> org.apache.spark.rdd.PairRDDFunctions.collectAsMap(PairRDDFunctions.scala:740)
>   
> org.apache.spark.ml.tree.impl.RandomForest$.findBestSplits(RandomForest.scala:525)
>   org.apache.spark.ml.tree.impl.RandomForest$.run(RandomForest.scala:160)
>   
> org.apache.spark.ml.regression.CustomRandomForestRegressor.train(CustomRandomForestRegressor.scala:209)
>   
> org.apache.spark.ml.regression.CustomRandomForestRegressor.train(CustomRandomForestRegressor.scala:197)
>   org.apache.spark.ml.Predictor.fit(Predictor.scala:90)
>   org.apache.spark.ml.Predictor.fit(Predictor.scala:71)
>   org.apache.spark.ml.Estimator.fit(Estimator.scala:59)
>   org.apache.spark.ml.Estimator$$anonfun$fit$1.apply(Estimator.scala:78)
>   org.apache.spark.ml.Estimator$$anonfun$fit$1.apply(Estimator.scala:78)
> For complete Executor and Driver ErrorLog
> https://gist.github.com/anonymous/603ac7f8f17e43c51ba93b2934cd4cb6



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