[jira] [Resolved] (GEODE-194) Geode Spark Connector does not support Spark 2.0

["Anthony Baker (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/GEODE-194?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Anthony Baker resolved GEODE-194.
---------------------------------
    Resolution: Won't Fix

Closing this ticket due to inactivity.

> Geode Spark Connector does not support Spark 2.0
> ------------------------------------------------
>
>                 Key: GEODE-194
>                 URL: https://issues.apache.org/jira/browse/GEODE-194
>             Project: Geode
>          Issue Type: Bug
>          Components: extensions
>            Reporter: Jianxia Chen
>            Priority: Major
>              Labels: experimental, gsoc2016
>
> The BasicIntegrationTest fails when using spark 1.4. e.g.
> [info] - GemFire OQL query with more complex UDT: Partitioned Region *** FAILED ***
> [info]   org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 24.0 failed 1 times, most recent failure: Lost task 0.0 in stage 24.0 (TID 48, localhost): scala.MatchError: 
> [info] 	Portfolio [id=3 status=active type=type3
> [info] 		AOL:Position [secId=AOL qty=978.0 mktValue=40.373], 
> [info] 		MSFT:Position [secId=MSFT qty=98327.0 mktValue=23.32]] (of class ittest.io.pivotal.gemfire.spark.connector.Portfolio)
> [info] 	at org.apache.spark.sql.catalyst.CatalystTypeConverters$$anonfun$createToCatalystConverter$4.apply(CatalystTypeConverters.scala:178)
> [info] 	at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:62)
> [info] 	at org.apache.spark.sql.execution.RDDConversions$$anonfun$rowToRowRdd$1$$anonfun$apply$2.apply(ExistingRDD.scala:59)
> [info] 	at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> [info] 	at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> [info] 	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
> [info] 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
> [info] 	at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
> [info] 	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
> [info] 	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
> [info] 	at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
> [info] 	at scala.collection.AbstractIterator.to(Iterator.scala:1157)
> [info] 	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
> [info] 	at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
> [info] 	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
> [info] 	at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
> [info] 	at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885)
> [info] 	at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:885)
> [info] 	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765)
> [info] 	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1765)
> [info] 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63)
> [info] 	at org.apache.spark.scheduler.Task.run(Task.scala:70)
> [info] 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
> [info] 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> [info] 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> [info] 	at java.lang.Thread.run(Thread.java:745)
> [info] 
> [info] Driver stacktrace:
> [info]   at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1266)
> [info]   at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1257)
> [info]   at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1256)
> [info]   at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> [info]   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> [info]   at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1256)
> [info]   at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
> [info]   at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:730)
> [info]   at scala.Option.foreach(Option.scala:236)
> [info]   at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:730)
> [info]   ...



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