Dominik Safaric created SPARK-19785:
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Summary: java.lang.ClassNotFoundException - Scala anonymous
function
Key: SPARK-19785
URL: https://issues.apache.org/jira/browse/SPARK-19785
Project: Spark
Issue Type: Question
Components: Deploy, Spark Core, Spark Submit
Affects Versions: 2.1.0
Environment: Ubuntu 16.04.1 LTS
Reporter: Dominik Safaric
I've been trying to submit a Spark Streaming application using spark-submit to
a cluster of mine consisting of a master and two worker nodes. The application
has been written in Scala, and build using Maven. Importantly, the Maven build
is configured to produce a fat JAR containing all dependencies. Furthermore,
the JAR has been distributed to all of nodes. The streaming job has been
submitted using the following command:
bin/spark-submit --class topology.SimpleProcessingTopology --jars
/tmp/spark_streaming-1.0-SNAPSHOT.jar --master spark://10.0.0.8:7077 --verbose
/tmp/spark_streaming-1.0-SNAPSHOT.jar /tmp/streaming-benchmark.properties
where 10.0.0.8 is the IP address of the master node within the VNET.
However, I keep getting the following exception while starting the streaming
application:
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
Caused by: java.lang.ClassNotFoundException:
topology.SimpleProcessingTopology$$anonfun$main$1$$anonfun$apply$1
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:348)
at
org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)
I've checked the content of the JAR using jar tvf and as you can see in the
output below, it does contain the class in question.
1735 Wed Mar 01 12:29:20 UTC 2017
topology/SimpleProcessingTopology$$anonfun$main$1.class
702 Wed Mar 01 12:29:20 UTC 2017 topology/SimpleProcessingTopology.class
2415 Wed Mar 01 12:29:20 UTC 2017
topology/SimpleProcessingTopology$$anonfun$main$1$$anonfun$apply$1$$anonfun$apply$2.class
2500 Wed Mar 01 12:29:20 UTC 2017
topology/SimpleProcessingTopology$$anonfun$main$1$$anonfun$apply$1.class
7045 Wed Mar 01 12:29:20 UTC 2017 topology/SimpleProcessingTopology$.class
This exception has been caused due to the anonymous function of the
foreachPartition call:
rdd.foreachPartition(partition => {
val outTopic = props.getString("application.simple.kafka.out.topic")
val producer = new KafkaProducer[Array[Byte],Array[Byte]](kafkaParams)
partition.foreach(record => {
val producerRecord = new ProducerRecord[Array[Byte],
Array[Byte]](outTopic, record.key(), record.value())
producer.send(producerRecord)
})
producer.close()
})
Unfortunately, I am not able to find the root cause of this since so far.
Hence, I would appreciate if anyone could help me out fixing this issue.
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