There was a avro-mapred version conflict described in
https://issues.apache.org/jira/browse/SPARK-3039.
Fixed by https://github.com/apache/spark/pull/4315 for Spark 1.3.
Here is a link that describes how to fix Spark 1.2.1 for avro-mapred
hadoop2:
https://github.com/medale/spark-mail/blob/master/presentation/CreatingAvroMapred2Spark.md
We had built that 1.2.1 version for a demo for the February MD Apache
Spark meetup (http://www.meetup.com/Apache-Spark-Maryland/) that was
hosted at
https://s3.amazonaws.com/morris-datasets/ENRON/demo/spark-1.2.1.tar.gz.
Hope this helps,
Markus
On 03/04/2015 11:57 PM, ÐΞ€ρ@Ҝ (๏̯͡๏) wrote:
I am trying to read RDD avro, transform and write.
I am able to run it locally fine but when i run onto cluster, i see issues
with Avro.
export SPARK_HOME=/home/dvasthimal/spark/spark-1.0.2-bin-2.4.1
export SPARK_YARN_USER_ENV="CLASSPATH=/apache/hadoop/conf"
export HADOOP_CONF_DIR=/apache/hadoop/conf
export YARN_CONF_DIR=/apache/hadoop/conf
export SPARK_JAR=$SPARK_HOME/lib/spark-assembly-1.0.2-hadoop2.4.1.jar
export SPARK_LIBRARY_PATH=/apache/hadoop/lib/native
export SPARK_YARN_USER_ENV="CLASSPATH=/apache/hadoop/conf"
export SPARK_YARN_USER_ENV="CLASSPATH=/apache/hadoop/conf"
export
SPARK_CLASSPATH=/apache/hadoop/share/hadoop/common/hadoop-common-2.4.1-company-2.jar:/apache/hadoop/lib/hadoop-lzo-0.6.0.jar:/home/dvasthimal/spark/avro-mapred-1.7.7-hadoop2.jar:/home/dvasthimal/spark/avro-1.7.7.jar
export SPARK_LIBRARY_PATH="/apache/hadoop/lib/native"
export YARN_CONF_DIR=/apache/hadoop/conf/
cd $SPARK_HOME
./bin/spark-submit --master yarn-cluster --jars
/home/dvasthimal/spark/avro-mapred-1.7.7-hadoop2.jar,/home/dvasthimal/spark/avro-1.7.7.jar
--num-executors 3 --driver-memory 4g --executor-memory 2g --executor-cores
1 --queue hdmi-spark --class com.company.ep.poc.spark.reporting.SparkApp
/home/dvasthimal/spark/spark_reporting-1.0-SNAPSHOT.jar
startDate=2015-02-16 endDate=2015-02-16
epoutputdirectory=/user/dvasthimal/epdatasets_small/exptsession
subcommand=successevents
outputdir=/user/dvasthimal/epdatasets/successdetail
Spark assembly has been built with Hive, including Datanucleus jars on
classpath
15/03/04 03:20:29 INFO client.ConfiguredRMFailoverProxyProvider: Failing
over to rm2
15/03/04 03:20:30 INFO yarn.Client: Got Cluster metric info from
ApplicationsManager (ASM), number of NodeManagers: 2221
15/03/04 03:20:30 INFO yarn.Client: Queue info ... queueName: hdmi-spark,
queueCurrentCapacity: 0.7162806, queueMaxCapacity: 0.08,
queueApplicationCount = 7, queueChildQueueCount = 0
15/03/04 03:20:30 INFO yarn.Client: Max mem capabililty of a single
resource in this cluster 16384
15/03/04 03:20:30 INFO yarn.Client: Preparing Local resources
15/03/04 03:20:30 WARN util.NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
15/03/04 03:20:30 WARN hdfs.BlockReaderLocal: The short-circuit local reads
feature cannot be used because libhadoop cannot be loaded.
15/03/04 03:20:46 INFO hdfs.DFSClient: Created HDFS_DELEGATION_TOKEN token
7780745 for dvasthimal on 10.115.206.112:8020
15/03/04 03:20:46 INFO yarn.Client: Uploading
file:/home/dvasthimal/spark/spark_reporting-1.0-SNAPSHOT.jar to hdfs://
apollo-phx-nn.company.com:8020/user/dvasthimal/.sparkStaging/application_1425075571333_61948/spark_reporting-1.0-SNAPSHOT.jar
15/03/04 03:20:47 INFO yarn.Client: Uploading
file:/home/dvasthimal/spark/spark-1.0.2-bin-2.4.1/lib/spark-assembly-1.0.2-hadoop2.4.1.jar
to hdfs://
apollo-phx-nn.company.com:8020/user/dvasthimal/.sparkStaging/application_1425075571333_61948/spark-assembly-1.0.2-hadoop2.4.1.jar
15/03/04 03:20:52 INFO yarn.Client: Uploading
file:/home/dvasthimal/spark/avro-mapred-1.7.7-hadoop2.jar to hdfs://
apollo-phx-nn.company.com:8020/user/dvasthimal/.sparkStaging/application_1425075571333_61948/avro-mapred-1.7.7-hadoop2.jar
15/03/04 03:20:52 INFO yarn.Client: Uploading
file:/home/dvasthimal/spark/avro-1.7.7.jar to hdfs://
apollo-phx-nn.company.com:8020/user/dvasthimal/.sparkStaging/application_1425075571333_61948/avro-1.7.7.jar
15/03/04 03:20:54 INFO yarn.Client: Setting up the launch environment
15/03/04 03:20:54 INFO yarn.Client: Setting up container launch context
15/03/04 03:20:54 INFO yarn.Client: Command for starting the Spark
ApplicationMaster: List($JAVA_HOME/bin/java, -server, -Xmx4096m,
-Djava.io.tmpdir=$PWD/tmp,
-Dspark.app.name=\"com.company.ep.poc.spark.reporting.SparkApp\",
-Dlog4j.configuration=log4j-spark-container.properties,
org.apache.spark.deploy.yarn.ApplicationMaster, --class,
com.company.ep.poc.spark.reporting.SparkApp, --jar ,
file:/home/dvasthimal/spark/spark_reporting-1.0-SNAPSHOT.jar, --args
'startDate=2015-02-16' --args 'endDate=2015-02-16' --args
'epoutputdirectory=/user/dvasthimal/epdatasets_small/exptsession' --args
'subcommand=successevents' --args
'outputdir=/user/dvasthimal/epdatasets/successdetail' , --executor-memory,
2048, --executor-cores, 1, --num-executors , 3, 1>, <LOG_DIR>/stdout, 2>,
<LOG_DIR>/stderr)
15/03/04 03:20:54 INFO yarn.Client: Submitting application to ASM
15/03/04 03:20:54 INFO impl.YarnClientImpl: Submitted application
application_1425075571333_61948
15/03/04 03:20:56 INFO yarn.Client: Application report from ASM:
application identifier: application_1425075571333_61948
appId: 61948
clientToAMToken: null
appDiagnostics:
appMasterHost: N/A
appQueue: hdmi-spark
appMasterRpcPort: -1
appStartTime: 1425464454263
yarnAppState: ACCEPTED
distributedFinalState: UNDEFINED
appTrackingUrl:
https://apollo-phx-rm-2.company.com:50030/proxy/application_1425075571333_61948/
appUser: dvasthimal
15/03/04 03:21:18 INFO yarn.Client: Application report from ASM:
application identifier: application_1425075571333_61948
appId: 61948
clientToAMToken: Token { kind: YARN_CLIENT_TOKEN, service: }
appDiagnostics:
appMasterHost: phxaishdc9dn0169.phx.company.com
appQueue: hdmi-spark
appMasterRpcPort: 0
appStartTime: 1425464454263
yarnAppState: RUNNING
distributedFinalState: UNDEFINED
appTrackingUrl:
https://apollo-phx-rm-2.company.com:50030/proxy/application_1425075571333_61948/
appUser: dvasthimal
….
….
15/03/04 03:21:22 INFO yarn.Client: Application report from ASM:
application identifier: application_1425075571333_61948
appId: 61948
clientToAMToken: Token { kind: YARN_CLIENT_TOKEN, service: }
appDiagnostics:
appMasterHost: phxaishdc9dn0169.phx.company.com
appQueue: hdmi-spark
appMasterRpcPort: 0
appStartTime: 1425464454263
yarnAppState: FINISHED
distributedFinalState: FAILED
appTrackingUrl:
https://apollo-phx-rm-2.company.com:50030/proxy/application_1425075571333_61948/A
appUser: dvasthimal
AM failed with following exception
/apache/hadoop/bin/yarn logs -applicationId application_1425075571333_61948
15/03/04 03:21:22 INFO NewHadoopRDD: Input split: hdfs://
apollo-phx-nn.company.com:8020/user/dvasthimal/epdatasets_small/exptsession/2015/02/16/part-r-00000.avro:0+13890
15/03/04 03:21:22 ERROR Executor: Exception in task ID 3
java.lang.IncompatibleClassChangeError: Found interface
org.apache.hadoop.mapreduce.TaskAttemptContext, but class was expected
at
org.apache.avro.mapreduce.AvroKeyInputFormat.createRecordReader(AvroKeyInputFormat.java:47)
at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:111)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:99)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:61)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
at org.apache.spark.rdd.FlatMappedRDD.compute(FlatMappedRDD.scala:33)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:229)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111)
at org.apache.spark.scheduler.Task.run(Task.scala:51)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:183)
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)
1) Having figured out the error the fix would be to put the right version
of avro libs into AM JVM classpath. Hence i included --jars
/home/dvasthimal/spark/avro-mapred-1.7.7-hadoop2.jar,/home/dvasthimal/spark/avro-1.7.7.jar
in spark-submit command. However i still see the same exception.
2) I tried to include these libs in SPARK_CLASSPATH. However i see the same
exception.
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