Yes. You can do/use *sbt assembly* and create a big fat jar with all
dependencies bundled inside it.
Thanks
Best Regards
On Thu, Dec 11, 2014 at 7:10 PM, Mario Pastorelli <
mario.pastore...@teralytics.ch> wrote:
> In this way it works but it's not portable and the idea of having a fat
> jar is to avoid exactly this. Is there any system to create a
> self-contained portable fatJar?
>
>
> On 11.12.2014 13:57, Akhil Das wrote:
>
> Add these jars while creating the Context.
>
> val sc = new SparkContext(conf)
>
>
> sc.addJar("/home/akhld/.ivy2/cache/org.apache.spark/spark-streaming-kafka_2.10/jars/
> *spark-streaming-kafka_2.10-1.1.0.jar*")
> sc.addJar("/home/akhld/.ivy2/cache/com.101tec/zkclient/jars/
> *zkclient-0.3.jar*")
>
> sc.addJar("/home/akhld/.ivy2/cache/com.yammer.metrics/metrics-core/jars/
> *metrics-core-2.2.0.jar*")
>
> sc.addJar("/home/akhld/.ivy2/cache/org.apache.kafka/kafka_2.10/jars/
> *kafka_2.10-0.8.0.jar*")
>
> val ssc = new StreamingContext(sc, Seconds(10))
>
>
> Thanks
> Best Regards
>
> On Thu, Dec 11, 2014 at 6:22 PM, Mario Pastorelli <
> mario.pastore...@teralytics.ch> wrote:
>
>> Hi,
>>
>> I'm trying to use spark-streaming with kafka but I get a strange error on
>> class that are missing. I would like to ask if my way to build the fat jar
>> is correct or no. My program is
>>
>> val kafkaStream = KafkaUtils.createStream(ssc, zookeeperQuorum,
>> kafkaGroupId, kafkaTopicsWithThreads)
>> .map(_._2)
>>
>> kafkaStream.foreachRDD((rdd,t) => rdd.foreachPartition {
>> iter:Iterator[CellWithLAC] =>
>> println("time: " ++ t.toString ++ " #received: " ++ iter.size.toString)
>> })
>>
>> I use sbt to manage my project and my build.sbt (with assembly 0.12.0
>> plugin) is
>>
>> name := "spark_example"
>>
>> version := "0.0.1"
>>
>> scalaVersion := "2.10.4"
>>
>> scalacOptions ++= Seq("-deprecation","-feature")
>>
>> libraryDependencies ++= Seq(
>> "org.apache.spark" % "spark-streaming_2.10" % "1.1.1",
>> "org.apache.spark" % "spark-streaming-kafka_2.10" % "1.1.1",
>> "joda-time" % "joda-time" % "2.6"
>> )
>>
>> assemblyMergeStrategy in assembly := {
>> case p if p startsWith "com/esotericsoftware/minlog" =>
>> MergeStrategy.first
>> case p if p startsWith "org/apache/commons/beanutils" =>
>> MergeStrategy.first
>> case p if p startsWith "org/apache/" => MergeStrategy.last
>> case "plugin.properties" => MergeStrategy.discard
>> case p if p startsWith "META-INF" => MergeStrategy.discard
>> case x =>
>> val oldStrategy = (assemblyMergeStrategy in assembly).value
>> oldStrategy(x)
>> }
>>
>> I create the jar with sbt assembly and the run with
>> $SPARK_HOME/bin/spark-submit --master spark://master:7077 --class Main
>> target/scala-2.10/spark_example-assembly-0.0.1.jar localhost:2181
>> test-consumer-group test1
>>
>> where master:7077 is the spark master, localhost:2181 is zookeeper,
>> test-consumer-group is kafka groupid and test1 is the kafka topic. The
>> program starts and keep running but I get an error and nothing is printed.
>> In the log I found the following stack trace:
>>
>> 14/12/11 13:02:08 INFO network.ConnectionManager: Accepted connection
>> from [10.0.3.1/10.0.3.1:54325]
>> 14/12/11 13:02:08 INFO network.SendingConnection: Initiating connection
>> to [jpl-devvax/127.0.1.1:38767]
>> 14/12/11 13:02:08 INFO network.SendingConnection: Connected to
>> [jpl-devvax/127.0.1.1:38767], 1 messages pending
>> 14/12/11 13:02:08 INFO storage.BlockManagerInfo: Added broadcast_2_piece0
>> in memory on jpl-devvax:38767 (size: 842.0 B, free: 265.4 MB)
>> 14/12/11 13:02:08 INFO scheduler.ReceiverTracker: Registered receiver for
>> stream 0 from akka.tcp://sparkExecutor@jpl-devvax:46602
>> 14/12/11 13:02:08 ERROR scheduler.ReceiverTracker: Deregistered receiver
>> for stream 0: Error starting receiver 0 - java.lang.NoClassDefFoundError:
>> kafka/consumer/ZookeeperConsumerConnector$ZKRebalancerListener$$anonfun$kafka$consumer$ZookeeperConsumerConnector$ZKRebalancerListener$$closeFetchersForQueues$1
>> at
>> kafka.consumer.ZookeeperConsumerConnector$ZKRebalancerListener.kafka$consumer$ZookeeperConsumerConnector$ZKRebalancerListener$$closeFetchersForQueues(Unknown
>> Source)
>> at
>> kafka.consumer.ZookeeperConsumerConnector$ZKRebalancerListener$$anonfun$syncedRebalance$1.apply$mcVI$sp(Unknown
>> Source)
>> at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
>> at
>> kafka.consumer.ZookeeperConsumerConnector$ZKRebalancerListener.syncedRebalance(Unknown
>> Source)
>> at
>> kafka.consumer.ZookeeperConsumerConnector.kafka$consumer$ZookeeperConsumerConnector$$reinitializeConsumer(Unknown
>> Source)
>> at kafka.consumer.ZookeeperConsumerConnector.consume(Unknown Source)
>> at
>> kafka.consumer.ZookeeperConsumerConnector.createMessageStreams(Unknown
>> Source)
>> at
>> org.apache.spark.streaming.kafka.KafkaReceiver.onStart(KafkaInputDStream.scala:114)
>> at
>> org.apache.spark.streaming.receiver.ReceiverSupervisor.startReceiver(ReceiverSupervisor.scala:121)
>> at
>> org.apache.spark.streaming.receiver.ReceiverSupervisor.start(ReceiverSupervisor.scala:106)
>> at
>> org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:264)
>> at
>> org.apache.spark.streaming.scheduler.ReceiverTracker$ReceiverLauncher$$anonfun$9.apply(ReceiverTracker.scala:257)
>> at
>> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1143)
>> at
>> org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1143)
>> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)
>> at org.apache.spark.scheduler.Task.run(Task.scala:54)
>> at
>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:178)
>> at
>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>> at
>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>> at java.lang.Thread.run(Thread.java:745)
>>
>> I have searched inside the fat jar and I found that that class is not in
>> it:
>>
>> > jar -tf target/scala-2.10/rtstat_in_spark-assembly-0.0.1.jar | grep
>> "kafka/consumer/ZookeeperConsumerConnector$ZKRebalancerListener$$anonfun$kafka$consumer$ZookeeperConsumerConnector"
>> >
>>
>> The problem is the double dollar before anonfun: if you put only one then
>> the class is there:
>>
>> > jar -tf target/scala-2.10/rtstat_in_spark-assembly-0.0.1.jar | grep
>> "kafka/consumer/ZookeeperConsumerConnector$ZKRebalancerListener$anonfun$kafka$consumer$ZookeeperConsumerConnector"
>> [...]
>> kafka/consumer/ZookeeperConsumerConnector.class
>> >
>>
>> I'm submitting my job to spark-1.1.1 compiled with hadoop2.4 downloaded
>> from the spark website.
>>
>> My question is: how can I solve this problem? I guess the problem is my
>> sbt script but I don't understand why.
>>
>>
>> Thanks,
>> Mario Pastorelli
>>
>>
>
>
