Hi,
I asked on SO and got an answer about this
http://stackoverflow.com/questions/27444512/missing-classes-from-the-assembly-file-created-by-sbt-assembly
. Adding fullClasspath in assembly := (fullClasspath in Compile).value
at the end of my builld.sbt solved the problem, apparently.
Best,
Mario
On 11.12.2014 20:04, Flávio Santos wrote:
Hi Mario,
Try to include this to your libraryDependencies (in your sbt file):
"org.apache.kafka" % "kafka_2.10" % "0.8.0"
exclude("javax.jms", "jms")
exclude("com.sun.jdmk", "jmxtools")
exclude("com.sun.jmx", "jmxri")
exclude("org.slf4j", "slf4j-simple")
Regards,
*--
Flávio R. Santos*
Chaordic | /Platform/
_www.chaordic.com.br <http://www.chaordic.com.br/>_
+55 48 3232.3200
On Thu, Dec 11, 2014 at 12:32 PM, Mario Pastorelli
<mario.pastore...@teralytics.ch
<mailto:mario.pastore...@teralytics.ch>> wrote:
Thanks akhil for the answer.
I am using sbt assembly and the build.sbt is in the first email.
Do you know why those classes are included in that way?
Thanks,
Mario
On 11.12.2014 14:51, Akhil Das wrote:
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
<mailto: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
<mailto: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
$SPARK_HOME/bin/spark-submit --master
spark://master:7077 --class Main
target/scala-2.10/spark_example-assembly-0.0.1.jar
localhost:2181 test-consumer-group test1
where master:7077 is the spark master, localhost:2181 is
zookeeper, test-consumer-group is kafka groupid and
test1 is the kafka topic. The program starts and keep
running but I get an error and nothing is printed. In
the log I found the following stack trace:
14/12/11 13:02:08 INFO network.ConnectionManager:
Accepted connection from [10.0.3.1/10.0.3.1:54325
<http://10.0.3.1/10.0.3.1:54325>]
14/12/11 13:02:08 INFO network.SendingConnection:
Initiating connection to [jpl-devvax/127.0.1.1:38767
<http://127.0.1.1:38767>]
14/12/11 13:02:08 INFO network.SendingConnection:
Connected to [jpl-devvax/127.0.1.1:38767
<http://127.0.1.1:38767>], 1 messages pending
14/12/11 13:02:08 INFO storage.BlockManagerInfo: Added
broadcast_2_piece0 in memory on jpl-devvax:38767 (size:
842.0 B, free: 265.4 MB)
14/12/11 13:02:08 INFO scheduler.ReceiverTracker:
Registered receiver for stream 0 from
akka.tcp://sparkExecutor@jpl-devvax:46602
14/12/11 13:02:08 ERROR scheduler.ReceiverTracker:
Deregistered receiver for stream 0: Error starting
receiver 0 - java.lang.NoClassDefFoundError:
kafka/consumer/ZookeeperConsumerConnector$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
