I am using Spark 1.0.0 compiled with Hadoop 1.2.1. I have a toy spark-streaming-kafka program. It reads from a kafka queue and does
stream .map {case (k, v) => (v, 1)} .reduceByKey(_ + _) .print() using a 1 second interval on the stream. The docs say to make Spark and Hadoop jars 'provided' but this breaks for spark-streaming. Including spark-streaming (and spark-streaming-kafka) as 'compile' to sweep them into our assembly gives collisions on javax.* classes. To work around this I modified $SPARK_HOME/bin/compute-classpath.sh to include spark-streaming, spark-streaming-kafka, and zkclient. (Note that kafka is included as 'compile' in my project and picked up in the assembly.) I have set up conf/spark-env.sh as needed. I have copied my assembly to /tmp/myjar.jar on all spark hosts and to my hdfs /tmp/jars directory. I am running spark-submit from my spark master. I am guided by the information here https://spark.apache.org/docs/latest/submitting-applications.html Well at this point I was going to detail all the ways spark-submit fails to follow it's own documentation. If I do not invoke sparkContext.setJars() then it just fails to find the driver class. This is using various combinations of absolute path, file:, hdfs: (Warning: Skip remote jar)??, and local: prefixes on the application-jar and --jars arguments. If I invoke sparkContext.setJars() and include my assembly jar I get further. At this point I get a failure from kafka.consumer.ConsumerConnector not being found. I suspect this is because spark-streaming-kafka needs the Kafka dependency it but my assembly jar is too late in the classpath. At this point I try setting spark.files.userClassPathfirst to 'true' but this causes more things to blow up. I finally found something that works. Namely setting environment variable SPARK_CLASSPATH=/tmp/myjar.jar But silly me, this is deprecated and I'm helpfully informed to Please instead use: - ./spark-submit with --driver-class-path to augment the driver classpath - spark.executor.extraClassPath to augment the executor classpath which when put into a file and introduced with --properties-file does not work. (Also tried spark.files.userClassPathFirst here.) These fail with the kafka.consumer.ConsumerConnector error. At a guess what's going on is that using SPARK_CLASSPATH I have my assembly jar in the classpath at SparkSubmit invocation Spark Command: java -cp /tmp/myjar.jar::/opt/spark/conf:/opt/spark/lib/spark-assembly-1.0.0-hadoop1.2.1.jar:/opt/spark/lib/spark-streaming_2.10-1.0.0.jar:/opt/spark/lib/spark-streaming-kafka_2.10-1.0.0.jar:/opt/spark/lib/zkclient-0.4.jar -XX:MaxPermSize=128m -Djava.library.path= -Xms512m -Xmx512m org.apache.spark.deploy.SparkSubmit --class me.KafkaStreamingWC /tmp/myjar.jar but using --properties-file then the assembly is not available for SparkSubmit. I think the root cause is either spark-submit not handling the spark-streaming libraries so they can be 'provided' or the inclusion of org.elicpse.jetty.orbit in the streaming libraries which cause [error] (*:assembly) deduplicate: different file contents found in the following: [error] /Users/lanny/.ivy2/cache/org.eclipse.jetty.orbit/javax.transaction/orbits/javax.transaction-1.1.1.v201105210645.jar:META-INF/ECLIPSEF.RSA [error] /Users/lanny/.ivy2/cache/org.eclipse.jetty.orbit/javax.servlet/orbits/javax.servlet-3.0.0.v201112011016.jar:META-INF/ECLIPSEF.RSA [error] /Users/lanny/.ivy2/cache/org.eclipse.jetty.orbit/javax.mail.glassfish/orbits/javax.mail.glassfish-1.4.1.v201005082020.jar:META-INF/ECLIPSEF.RSA [error] /Users/lanny/.ivy2/cache/org.eclipse.jetty.orbit/javax.activation/orbits/javax.activation-1.1.0.v201105071233.jar:META-INF/ECLIPSEF.RSA I've tried applying mergeStategy in assembly for my assembly.sbt but then I get Invalid signature file digest for Manifest main attributes If anyone knows the magic to get this working a reply would be greatly appreciated. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/spark-streaming-kafka-SPARK-CLASSPATH-tp7356.html Sent from the Apache Spark User List mailing list archive at Nabble.com.