[jira] [Comment Edited] (SPARK-1867) Spark Documentation Error causes java.lang.IllegalStateException: unread block data
[
https://issues.apache.org/jira/browse/SPARK-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14987190#comment-14987190
]
melvin mendoza edited comment on SPARK-1867 at 11/3/15 12:33 PM:
-
[~srowen] having problem with spark
java.lang.IllegalStateException: unread block data
at
java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2421)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382)
at
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:68)
at
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:185)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Code snippet:
def main(args: Array[String]) {
val LOG = Logger.getLogger(this.getClass().getName() + "Testing")
LOG.info("SAMPLE START")
LOG.info("Testing")
try {
val conf = new SparkConf()
val sc = new SparkContext(conf)
val phoenixSpark = sc.phoenixTableAsRDD(
"SAMPLE_TABLE",
Seq("ID", "NAME"),
zkUrl = Some("r3r31gateway.clustered.com:2181:/hbase-unsecure"))
val name = phoenixSpark.map(f => f.toString())
val sample = phoenixSpark.map(f => (f.get("ID") + "," + f.get("NAME")))
sample.foreach(println)
LOG.info("SAMPLE TABLE: " + name.toString())
sc.stop()
} catch {
case e: Exception => {
e.printStackTrace()
val msg = e.getMessage
LOG.error("Phoenix Testing failure: errorMsg: " + msg)
}
}
}
I'm using HDP 2.2
was (Author: mamendoza):
[~srowen] having problem with spark
java.lang.IllegalStateException: unread block data
at
java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2421)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382)
at
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:68)
at
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:185)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Code snippet:
def main(args: Array[String]) {
val LOG = Logger.getLogger(this.getClass().getName() + "Testing")
LOG.info("SAMPLE START")
LOG.info("Testing")
try {
val conf = new SparkConf()
val sc = new SparkContext(conf)
val phoenixSpark = sc.phoenixTableAsRDD(
"SAMPLE_TABLE",
Seq("ID", "NAME"),
zkUrl = Some("r3r31gateway.clustered.com:2181:/hbase-unsecure"))
val name = phoenixSpark.map(f => f.toString())
val sample = phoenixSpark.map(f => (f.get("ID") + "," + f.get("NAME")))
sample.foreach(println)
LOG.info("SAMPLE TABLE: " + name.toString())
sc.stop()
} catch {
case e: Exception => {
e.printStackTrace()
val msg = e.getMessage
LOG.error("Phoenix Testing failure: errorMsg: " + msg)
}
}
}
> Spark Documentation Error causes java.lang.IllegalStateException: unread
> block data
> ---
>
> Key: SPARK-1867
> URL: https://issues.apache.org/jira/browse/SPARK-1867
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Reporter: sam
>
> I've employed two System Administrators on a contract basis (for quite a bit
> of money), and both contractors have independently hit the following
> exception. What we are doing is:
> 1.
[jira] [Commented] (SPARK-1867) Spark Documentation Error causes java.lang.IllegalStateException: unread block data
[
https://issues.apache.org/jira/browse/SPARK-1867?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=14987190#comment-14987190
]
melvin mendoza commented on SPARK-1867:
---
[~srowen] having problem with spark
java.lang.IllegalStateException: unread block data
at
java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2421)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382)
at
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:68)
at
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:94)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:185)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Code snippet:
def main(args: Array[String]) {
val LOG = Logger.getLogger(this.getClass().getName() + "Testing")
LOG.info("SAMPLE START")
LOG.info("Testing")
try {
val conf = new SparkConf()
val sc = new SparkContext(conf)
val phoenixSpark = sc.phoenixTableAsRDD(
"SAMPLE_TABLE",
Seq("ID", "NAME"),
zkUrl = Some("r3r31gateway.clustered.com:2181:/hbase-unsecure"))
val name = phoenixSpark.map(f => f.toString())
val sample = phoenixSpark.map(f => (f.get("ID") + "," + f.get("NAME")))
sample.foreach(println)
LOG.info("SAMPLE TABLE: " + name.toString())
sc.stop()
} catch {
case e: Exception => {
e.printStackTrace()
val msg = e.getMessage
LOG.error("Phoenix Testing failure: errorMsg: " + msg)
}
}
}
> Spark Documentation Error causes java.lang.IllegalStateException: unread
> block data
> ---
>
> Key: SPARK-1867
> URL: https://issues.apache.org/jira/browse/SPARK-1867
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
>Reporter: sam
>
> I've employed two System Administrators on a contract basis (for quite a bit
> of money), and both contractors have independently hit the following
> exception. What we are doing is:
> 1. Installing Spark 0.9.1 according to the documentation on the website,
> along with CDH4 (and another cluster with CDH5) distros of hadoop/hdfs.
> 2. Building a fat jar with a Spark app with sbt then trying to run it on the
> cluster
> I've also included code snippets, and sbt deps at the bottom.
> When I've Googled this, there seems to be two somewhat vague responses:
> a) Mismatching spark versions on nodes/user code
> b) Need to add more jars to the SparkConf
> Now I know that (b) is not the problem having successfully run the same code
> on other clusters while only including one jar (it's a fat jar).
> But I have no idea how to check for (a) - it appears Spark doesn't have any
> version checks or anything - it would be nice if it checked versions and
> threw a "mismatching version exception: you have user code using version X
> and node Y has version Z".
> I would be very grateful for advice on this.
> The exception:
> Exception in thread "main" org.apache.spark.SparkException: Job aborted: Task
> 0.0:1 failed 32 times (most recent failure: Exception failure:
> java.lang.IllegalStateException: unread block data)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1020)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1018)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$abortStage(DAGScheduler.scala:1018)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$processEvent$10.apply(DAGScheduler.scala:604)
> at scala.Option.foreach(Option.scala:236)
> at
> org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:604)
> at
>
