Kannan created SPARK-32724:
------------------------------

             Summary: java.io.IOException: Stream is corrupted when tried to 
inner join 4 huge tables. Currently using  pyspark version 2.4.0-cdh6.3.1 
                 Key: SPARK-32724
                 URL: https://issues.apache.org/jira/browse/SPARK-32724
             Project: Spark
          Issue Type: Question
          Components: PySpark, Spark Core
    Affects Versions: 2.4.0
            Reporter: Kannan


When i try to join the 4 tables with 1M data i am getting below error.

Py4JJavaError: An error occurred while calling o453.count. : 
org.apache.spark.SparkException: Job aborted due to stage failure: Aborting 
TaskSet 27.0 because task 9 (partition 9) cannot run anywhere due to node and 
executor blacklist. Most recent failure: Lost task 9.1 in stage 27.0 (TID 267, 
si-159l.de.des.com, executor 17): java.io.IOException: Stream is corrupted at 
net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:202) at 
net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:228) at 
net.jpountz.lz4.LZ4BlockInputStream.read(LZ4BlockInputStream.java:157) at 
org.apache.spark.io.ReadAheadInputStream$1.run(ReadAheadInputStream.java:168) 
at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) 
at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) 
at java.lang.Thread.run(Thread.java:748) Blacklisting behavior can be 
configured via spark.blacklist.*. at 
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1890)
 at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1878)
 at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
 at 
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) 
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at 
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1877) at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:929)
 at 
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:929)
 at scala.Option.foreach(Option.scala:257) at 
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:929)
 at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2111)
 at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2060)
 at 
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2049)
 at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49) at 
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:740) at 
org.apache.spark.SparkContext.runJob(SparkContext.scala:2081) at 
org.apache.spark.SparkContext.runJob(SparkContext.scala:2102) at 
org.apache.spark.SparkContext.runJob(SparkContext.scala:2121) at 
org.apache.spark.SparkContext.runJob(SparkContext.scala:2146) at 
org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:945) at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) 
at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112) 
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363) at 
org.apache.spark.rdd.RDD.collect(RDD.scala:944) at 
org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:299) at 
org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2830) at 
org.apache.spark.sql.Dataset$$anonfun$count$1.apply(Dataset.scala:2829) at 
org.apache.spark.sql.Dataset$$anonfun$53.apply(Dataset.scala:3364) at 
org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:78)
 at 
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:125)
 at 
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:73)
 at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3363) at 
org.apache.spark.sql.Dataset.count(Dataset.scala:2829) at 
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at 
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) 
at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
 at java.lang.reflect.Method.invoke(Method.java:498) at 
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244) at 
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at 
py4j.Gateway.invoke(Gateway.java:282) at 
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132) at 
py4j.commands.CallCommand.execute(CallCommand.java:79) at 
py4j.GatewayConnection.run(GatewayConnection.java:238) at 
java.lang.Thread.run(Thread.java:748)



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