[infinispan-issues] [JBoss JIRA] (ISPN-6543) Spark connector fails with CCE when compatibility mode is enabled

[Vojtech Juranek (JIRA)]

Vojtech Juranek created ISPN-6543:
-------------------------------------

             Summary: Spark connector fails with CCE when compatibility mode is enabled
                 Key: ISPN-6543
                 URL: https://issues.jboss.org/browse/ISPN-6543
             Project: Infinispan
          Issue Type: Bug
          Components: Spark
            Reporter: Vojtech Juranek


Fails with 
{noformat}
org.infinispan.client.hotrod.exceptions.HotRodClientException:Request for messageId=125 returned server error (status=0x85): java.lang.ClassCastException: java.lang.Integer cannot be cast to [B
        at org.infinispan.client.hotrod.impl.protocol.Codec20.checkForErrorsInResponseStatus(Codec20.java:343)
        at org.infinispan.client.hotrod.impl.protocol.Codec20.readPartialHeader(Codec20.java:132)
        at org.infinispan.client.hotrod.impl.protocol.Codec20.readHeader(Codec20.java:118)
        at org.infinispan.client.hotrod.impl.operations.HotRodOperation.readHeaderAndValidate(HotRodOperation.java:56)
        at org.infinispan.client.hotrod.impl.operations.IterationNextOperation.execute(IterationNextOperation.java:48)
        at org.infinispan.client.hotrod.impl.iteration.RemoteCloseableIterator.fetch(RemoteCloseableIterator.java:100)
        at org.infinispan.client.hotrod.impl.iteration.RemoteCloseableIterator.hasNext(RemoteCloseableIterator.java:84)
        at org.infinispan.spark.rdd.InfinispanIterator.hasNext(InfinispanIterator.scala:13)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
        at org.apache.spark.util.random.SamplingUtils$.reservoirSampleAndCount(SamplingUtils.scala:41)
        at org.apache.spark.RangePartitioner$$anonfun$9.apply(Partitioner.scala:261)
        at org.apache.spark.RangePartitioner$$anonfun$9.apply(Partitioner.scala:259)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$22.apply(RDD.scala:745)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1$$anonfun$apply$22.apply(RDD.scala:745)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
        at org.apache.spark.scheduler.Task.run(Task.scala:89)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
{noformat}





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