Looking at this further, it appears that my Spark Context is not correctly setting the Master name. I see the following in logs:
15/09/25 16:45:42 INFO DriverRunner: Launch Command: "/usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java" "-cp" "/spark/spark-1.4.1/sbin/../conf/:/spark/spark-1.4.1/assembly/target/scala-2.10/spark-assembly-1.4.1-hadoop2.2.0.jar:/spark/spark-1.4.1/lib_managed/jars/datanucleus-api-jdo-3.2.6.jar:/spark/spark-1.4.1/lib_managed/jars/datanucleus-rdbms-3.2.9.jar:/spark/spark-1.4.1/lib_managed/jars/datanucleus-core-3.2.10.jar" "-Xms512M" "-Xmx512M" "-Dakka.loglevel=WARNING" "-Dspark.default.parallelism=6" "-Dspark.rpc.askTimeout=10" "- Dspark.app.name=MainClass" "-Dspark.master=spark://sparkserver:7077" "-Dspark.driver.supervise=true" "-Dspark.logConf=true" "-Dspark.jars=file:/tmp/MainClass-1.0-SNAPSHOT-jar-with-dependencies.jar" "-Dspark.streaming.receiver.maxRate=500" "-XX:MaxPermSize=256m" "org.apache.spark.deploy.worker.DriverWrapper" "akka.tcp:// sparkWorker@10.0.0.6:48077/user/Worker" "/spark/spark-1.4.1/work/driver-20150925164617-0000/MainClass-1.0-SNAPSHOT-jar-with-dependencies.jar" "MainClass" "--checkpoint" "/tmp/sparkcheckpoint" "--broker" "kafkaBroker:9092" "--topic" "test" "--numStreams" "9" "--threadParallelism" "9" 15/09/25 16:45:43 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 15/09/25 16:45:43 INFO SecurityManager: Changing view acls to: root 15/09/25 16:45:43 INFO SecurityManager: Changing modify acls to: root 15/09/25 16:45:43 INFO SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); users with modify permissions: Set(root) 15/09/25 16:45:44 INFO Slf4jLogger: Slf4jLogger started 15/09/25 16:45:45 INFO Utils: Successfully started service 'Driver' on port 59670. 15/09/25 16:45:45 INFO WorkerWatcher: Connecting to worker akka.tcp:// sparkWorker@10.0.0.6:48077/user/Worker 15/09/25 16:45:45 INFO MainClass: MainClass - Setup Logger 15/09/25 16:45:45 INFO WorkerWatcher: Successfully connected to akka.tcp:// sparkWorker@10.0.0.6:48077/user/Worker 15/09/25 16:45:45 INFO Checkpoint: Checkpoint directory /tmp/sparkcheckpoint does not exist 15/09/25 16:45:45 INFO MainClass: Setting up streaming context with configuration: org.apache.spark.SparkConf@56057cbf and time window 2000 ms 15/09/25 16:45:45 INFO SparkContext: Running Spark version 1.4.1 15/09/25 16:45:45 INFO SparkContext: Spark configuration: spark.app.name=MainClass spark.default.parallelism=6 spark.driver.supervise=true spark.jars=file:/tmp/OinkSpark-1.0-SNAPSHOT-jar-with-dependencies.jar spark.logConf=true spark.master=local[*] spark.rpc.askTimeout=10 spark.streaming.receiver.maxRate=500 As you can see, despite -Dmaster=spark://sparkserver:7077, the streaming context still registers the master as local[*]. Any idea why? Thank you, Bryan Jeffrey