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From Dmitry Goldenberg <dgoldenberg...@gmail.com>
Subject Re: ThrowableSerializationWrapper: Task exception could not be deserialized / ClassNotFoundException: org.apache.solr.common.SolrException
Date Wed, 30 Sep 2015 01:12:58 GMT
Ted, I think I have tried these settings with the hbase protocol jar, to no
avail.

I'm going to see if I can try and use these with this SolrException issue
though it now may be harder to reproduce it. Thanks for the suggestion.

On Tue, Sep 29, 2015 at 8:03 PM, Ted Yu <yuzhihong@gmail.com> wrote:

> Have you tried the following ?
> --conf spark.driver.userClassPathFirst=true --conf spark.executor.
> userClassPathFirst=true
>
> On Tue, Sep 29, 2015 at 4:38 PM, Dmitry Goldenberg <
> dgoldenberg123@gmail.com> wrote:
>
>> Release of Spark: 1.5.0.
>>
>> Command line invokation:
>>
>> ACME_INGEST_HOME=/mnt/acme/acme-ingest
>> ACME_INGEST_VERSION=0.0.1-SNAPSHOT
>> ACME_BATCH_DURATION_MILLIS=5000
>> SPARK_MASTER_URL=spark://data1:7077
>> JAVA_OPTIONS="-Dspark.streaming.kafka.maxRatePerPartition=1000"
>> JAVA_OPTIONS="$JAVA_OPTIONS -Dspark.executor.memory=2g"
>>
>> $SPARK_HOME/bin/spark-submit \
>>         --driver-class-path  $ACME_INGEST_HOME \
>>         --driver-java-options "$JAVA_OPTIONS" \
>>         --class "com.acme.consumer.kafka.spark.KafkaSparkStreamingDriver"
>> \
>>         --master $SPARK_MASTER_URL  \
>>         --conf
>> "spark.executor.extraClassPath=$ACME_INGEST_HOME/conf:$ACME_INGEST_HOME/lib/hbase-protocol-0.98.9-hadoop2.jar"
>> \
>>
>> $ACME_INGEST_HOME/lib/acme-ingest-kafka-spark-$ACME_INGEST_VERSION.jar \
>>         -brokerlist $METADATA_BROKER_LIST \
>>         -topic acme.topic1 \
>>         -autooffsetreset largest \
>>         -batchdurationmillis $ACME_BATCH_DURATION_MILLIS \
>>         -appname Acme.App1 \
>>         -checkpointdir file://$SPARK_HOME/acme/checkpoint-acme-app1
>> Note that SolrException is definitely in our consumer jar
>> acme-ingest-kafka-spark-$ACME_INGEST_VERSION.jar which gets deployed to
>> $ACME_INGEST_HOME.
>>
>> For the extraClassPath on the executors, we've got additionally
>> hbase-protocol-0.98.9-hadoop2.jar: we're using Apache Phoenix from the
>> Spark jobs to communicate with HBase.  The only way to force Phoenix to
>> successfully communicate with HBase was to have that JAR explicitly added
>> to the executor classpath regardless of the fact that the contents of the
>> hbase-protocol hadoop jar get rolled up into the consumer jar at build time.
>>
>> I'm starting to wonder whether there's some class loading pattern here
>> where some classes may not get loaded out of the consumer jar and therefore
>> have to have their respective jars added to the executor extraClassPath?
>>
>> Or is this a serialization problem for SolrException as Divya
>> Ravichandran suggested?
>>
>>
>>
>>
>> On Tue, Sep 29, 2015 at 6:16 PM, Ted Yu <yuzhihong@gmail.com> wrote:
>>
>>> Mind providing a bit more information:
>>>
>>> release of Spark
>>> command line for running Spark job
>>>
>>> Cheers
>>>
>>> On Tue, Sep 29, 2015 at 1:37 PM, Dmitry Goldenberg <
>>> dgoldenberg123@gmail.com> wrote:
>>>
>>>> We're seeing this occasionally. Granted, this was caused by a wrinkle
>>>> in the Solr schema but this bubbled up all the way in Spark and caused job
>>>> failures.
>>>>
>>>> I just checked and SolrException class is actually in the consumer job
>>>> jar we use.  Is there any reason why Spark cannot find the SolrException
>>>> class?
>>>>
>>>> 15/09/29 15:41:58 WARN ThrowableSerializationWrapper: Task exception
>>>> could not be deserialized
>>>> java.lang.ClassNotFoundException: org.apache.solr.common.SolrException
>>>> at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
>>>> at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
>>>> at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
>>>> 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)
>>>> at
>>>> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
>>>> at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
>>>> at
>>>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
>>>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
>>>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
>>>> at
>>>> org.apache.spark.ThrowableSerializationWrapper.readObject(TaskEndReason.scala:163)
>>>> 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:497)
>>>> at
>>>> java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
>>>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1900)
>>>> at
>>>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
>>>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
>>>> at
>>>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
>>>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
>>>> at
>>>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
>>>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
>>>> at
>>>> java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2000)
>>>> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1924)
>>>> at
>>>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1801)
>>>> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
>>>> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
>>>> at
>>>> org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:72)
>>>> at
>>>> org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:98)
>>>> at
>>>> org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$2.apply$mcV$sp(TaskResultGetter.scala:108)
>>>> at
>>>> org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$2.apply(TaskResultGetter.scala:105)
>>>> at
>>>> org.apache.spark.scheduler.TaskResultGetter$$anon$3$$anonfun$run$2.apply(TaskResultGetter.scala:105)
>>>> at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1699)
>>>> at
>>>> org.apache.spark.scheduler.TaskResultGetter$$anon$3.run(TaskResultGetter.scala:105)
>>>> at
>>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>>>> at
>>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>>>> at java.lang.Thread.run(Thread.java:745)
>>>>
>>>
>>>
>>
>

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