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https://issues.apache.org/jira/browse/TOREE-462?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16325097#comment-16325097
]
Alexander Dmitriev commented on TOREE-462:
------------------------------------------
[~luciano resende] I've created jira account as you requested in
[pr|https://github.com/apache/incubator-toree/pull/148]
> %%dataframe magic fails with df containing nulls and arrays
> -----------------------------------------------------------
>
> Key: TOREE-462
> URL: https://issues.apache.org/jira/browse/TOREE-462
> Project: TOREE
> Issue Type: Bug
> Components: Kernel
> Affects Versions: 0.1.0, 0.2.0
> Reporter: Luciano Resende
> Fix For: 0.2.0
>
>
> When a DF contains null, it breaks with server error:
> [Stage 2:===================================================> (17 + 2) /
> 19]18/01/01 17:09:46 WARN TaskSetManager: Lost task 6.0 in stage 2.0 (TID 11,
> 192.168.1.126, executor 1): java.lang.NullPointerException
> at
> org.apache.toree.utils.DataFrameConverter$$anonfun$3$$anonfun$4.apply(DataFrameConverter.scala:55)
> at
> org.apache.toree.utils.DataFrameConverter$$anonfun$3$$anonfun$4.apply(DataFrameConverter.scala:54)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at
> scala.collection.IndexedSeqOptimized$class.foreach(IndexedSeqOptimized.scala:33)
> at scala.collection.mutable.WrappedArray.foreach(WrappedArray.scala:35)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at
> org.apache.toree.utils.DataFrameConverter$$anonfun$3.apply(DataFrameConverter.scala:54)
> at
> org.apache.toree.utils.DataFrameConverter$$anonfun$3.apply(DataFrameConverter.scala:53)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:393)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at
> scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
> at
> scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
> at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
> at scala.collection.AbstractIterator.to(Iterator.scala:1336)
> at
> scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
> at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
> at
> scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
> at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
> at
> org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354)
> at
> org.apache.spark.rdd.RDD$$anonfun$take$1$$anonfun$29.apply(RDD.scala:1354)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2062)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:108)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:335)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
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