Re: Kafka+Spark-streaming issue: Stream 0 received 0 blocks
I see you have no worker machines to execute the job
[image: Inline image 1]
You haven't configured your spark cluster properly.
Quick fix to get it running would be run it on local mode, for that change
this line
JavaStreamingContext jssc = *new* JavaStreamingContext("spark://
192.168.88.130:7077", "SparkStream", *new* Duration(3000));
to this
JavaStreamingContext jssc = *new* JavaStreamingContext("local[4]",
"SparkStream", *new* Duration(3000));
Thanks
Best Regards
On Mon, Dec 1, 2014 at 4:18 PM, wrote:
> Hi,
>
>
>
> The spark master is working, and I have given the same url in the code:
>
>
>
> The warning is gone, and the new log is:
>
> ---
>
> Time: 141742785 ms
>
> ---
>
>
>
> INFO [sparkDriver-akka.actor.default-dispatcher-2] scheduler.JobScheduler
> (Logging.scala:logInfo(59)) - Starting job streaming job 141742785 ms.0
> from job set of time 141742785 ms
>
> INFO [sparkDriver-akka.actor.default-dispatcher-2] scheduler.JobScheduler
> (Logging.scala:logInfo(59)) - Finished job streaming job 141742785 ms.0
> from job set of time 141742785 ms
>
> INFO [sparkDriver-akka.actor.default-dispatcher-2] scheduler.JobScheduler
> (Logging.scala:logInfo(59)) - Total delay: 0.028 s for time 141742785
> ms (execution: 0.001 s)
>
> INFO [sparkDriver-akka.actor.default-dispatcher-5] scheduler.JobScheduler
> (Logging.scala:logInfo(59)) - Added jobs for time 141742785 ms
>
> INFO [sparkDriver-akka.actor.default-dispatcher-5] rdd.MappedRDD
> (Logging.scala:logInfo(59)) - Removing RDD 25 from persistence list
>
> INFO [sparkDriver-akka.actor.default-dispatcher-15] storage.BlockManager
> (Logging.scala:logInfo(59)) - Removing RDD 25
>
> INFO [sparkDriver-akka.actor.default-dispatcher-5] rdd.BlockRDD
> (Logging.scala:logInfo(59)) - Removing RDD 24 from persistence list
>
> INFO [sparkDriver-akka.actor.default-dispatcher-6] storage.BlockManager
> (Logging.scala:logInfo(59)) - Removing RDD 24
>
> INFO [sparkDriver-akka.actor.default-dispatcher-5]
> kafka.KafkaInputDStream (Logging.scala:logInfo(59)) - Removing blocks of
> RDD BlockRDD[24] at BlockRDD at ReceiverInputDStream.scala:69 of time
> 141742785 ms
>
> INFO [sparkDriver-akka.actor.default-dispatcher-4]
> scheduler.ReceiverTracker (Logging.scala:logInfo(59)) *- Stream 0
> received 0 blocks*
>
> ---
>
> Time: 1417427853000 ms
>
> ---
>
>
>
> INFO [sparkDriver-akka.actor.default-dispatcher-5] scheduler.JobScheduler
> (Logging.scala:logInfo(59)) - Starting job streaming job 1417427853000 ms.0
> from job set of time 1417427853000 ms
>
> INFO [sparkDriver-akka.actor.default-dispatcher-5] scheduler.JobScheduler
> (Logging.scala:logInfo(59)) - Finished job streaming job 1417427853000 ms.0
> from job set of time 1417427853000 ms
>
> INFO [sparkDriver-akka.actor.default-dispatcher-5] scheduler.JobScheduler
> (Logging.scala:logInfo(59)) - Total delay: 0.015 s for time 1417427853000
> ms (execution: 0.001 s)
>
> INFO [sparkDriver-akka.actor.default-dispatcher-4] scheduler.JobScheduler
> (Logging.scala:logInfo(59)) - Added jobs for time 1417427853000 ms
>
> INFO [sparkDriver-akka.actor.default-dispatcher-4] rdd.MappedRDD
> (Logging.scala:logInfo(59)) - Removing RDD 27 from persistence list
>
> INFO [sparkDriver-akka.actor.default-dispatcher-5] storage.BlockManager
> (Logging.scala:logInfo(59)) - Removing RDD 27
>
> INFO [sparkDriver-akka.actor.default-dispatcher-4] rdd.BlockRDD
> (Logging.scala:logInfo(59)) - Removing RDD 26 from persistence list
>
> INFO [sparkDriver-akka.actor.default-dispatcher-6] storage.BlockManager
> (Logging.scala:logInfo(59)) - Removing RDD 26
>
> INFO [sparkDriver-akka.actor.default-dispatcher-4]
> kafka.KafkaInputDStream (Logging.scala:logInfo(59)) - Removing blocks of
> RDD BlockRDD[26] at BlockRDD at ReceiverInputDStream.scala:69 of time
> 1417427853000 ms
>
> INFO [sparkDriver-akka.actor.default-dispatcher-6]
> scheduler.ReceiverTracker (Logging.scala:logInfo(59)) - *Stream 0
> received 0 blocks*
>
>
>
> What should be my approach now ?
>
> Need urgent help.
>
>
>
> Regards,
>
> Aiman
>
>
>
> *From:* Akhil Das [mailto:ak...@sigmoidanalytics.com]
> *Sent:* Monday, December 01, 2014 3:56 PM
> *To:* Sarosh, M.
> *Cc:* user@spark.apache.org
> *Subject:* Re: Kafka+Spark-streaming issue: Stream 0 received 0 blocks
>
>
>
> It says:
>
>
>
> 14/11/27 11:56:05 WARN scheduler.TaskSchedulerImpl: Initial job has not
>
RE: Kafka+Spark-streaming issue: Stream 0 received 0 blocks
Hi, The spark master is working, and I have given the same url in the code: [cid:image001.png@01D00D82.6DC2FFF0] The warning is gone, and the new log is: --- Time: 141742785 ms --- INFO [sparkDriver-akka.actor.default-dispatcher-2] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Starting job streaming job 141742785 ms.0 from job set of time 141742785 ms INFO [sparkDriver-akka.actor.default-dispatcher-2] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Finished job streaming job 141742785 ms.0 from job set of time 141742785 ms INFO [sparkDriver-akka.actor.default-dispatcher-2] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Total delay: 0.028 s for time 141742785 ms (execution: 0.001 s) INFO [sparkDriver-akka.actor.default-dispatcher-5] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Added jobs for time 141742785 ms INFO [sparkDriver-akka.actor.default-dispatcher-5] rdd.MappedRDD (Logging.scala:logInfo(59)) - Removing RDD 25 from persistence list INFO [sparkDriver-akka.actor.default-dispatcher-15] storage.BlockManager (Logging.scala:logInfo(59)) - Removing RDD 25 INFO [sparkDriver-akka.actor.default-dispatcher-5] rdd.BlockRDD (Logging.scala:logInfo(59)) - Removing RDD 24 from persistence list INFO [sparkDriver-akka.actor.default-dispatcher-6] storage.BlockManager (Logging.scala:logInfo(59)) - Removing RDD 24 INFO [sparkDriver-akka.actor.default-dispatcher-5] kafka.KafkaInputDStream (Logging.scala:logInfo(59)) - Removing blocks of RDD BlockRDD[24] at BlockRDD at ReceiverInputDStream.scala:69 of time 141742785 ms INFO [sparkDriver-akka.actor.default-dispatcher-4] scheduler.ReceiverTracker (Logging.scala:logInfo(59)) - Stream 0 received 0 blocks --- Time: 1417427853000 ms --- INFO [sparkDriver-akka.actor.default-dispatcher-5] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Starting job streaming job 1417427853000 ms.0 from job set of time 1417427853000 ms INFO [sparkDriver-akka.actor.default-dispatcher-5] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Finished job streaming job 1417427853000 ms.0 from job set of time 1417427853000 ms INFO [sparkDriver-akka.actor.default-dispatcher-5] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Total delay: 0.015 s for time 1417427853000 ms (execution: 0.001 s) INFO [sparkDriver-akka.actor.default-dispatcher-4] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Added jobs for time 1417427853000 ms INFO [sparkDriver-akka.actor.default-dispatcher-4] rdd.MappedRDD (Logging.scala:logInfo(59)) - Removing RDD 27 from persistence list INFO [sparkDriver-akka.actor.default-dispatcher-5] storage.BlockManager (Logging.scala:logInfo(59)) - Removing RDD 27 INFO [sparkDriver-akka.actor.default-dispatcher-4] rdd.BlockRDD (Logging.scala:logInfo(59)) - Removing RDD 26 from persistence list INFO [sparkDriver-akka.actor.default-dispatcher-6] storage.BlockManager (Logging.scala:logInfo(59)) - Removing RDD 26 INFO [sparkDriver-akka.actor.default-dispatcher-4] kafka.KafkaInputDStream (Logging.scala:logInfo(59)) - Removing blocks of RDD BlockRDD[26] at BlockRDD at ReceiverInputDStream.scala:69 of time 1417427853000 ms INFO [sparkDriver-akka.actor.default-dispatcher-6] scheduler.ReceiverTracker (Logging.scala:logInfo(59)) - Stream 0 received 0 blocks What should be my approach now ? Need urgent help. Regards, Aiman From: Akhil Das [mailto:ak...@sigmoidanalytics.com] Sent: Monday, December 01, 2014 3:56 PM To: Sarosh, M. Cc: user@spark.apache.org Subject: Re: Kafka+Spark-streaming issue: Stream 0 received 0 blocks It says: 14/11/27 11:56:05 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory A quick guess would be, you are giving the wrong master url. ( spark://192.168.88.130:7077<http://192.168.88.130:7077/> ) Open the webUI running on port 8080 and use the master url listed there on top left corner of the page. Thanks Best Regards On Mon, Dec 1, 2014 at 3:42 PM, mailto:m.sar...@accenture.com>> wrote: Hi, I am integrating Kafka and Spark, using spark-streaming. I have created a topic as a kafka producer: bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test I am publishing messages in kafka and trying to read them using spark-streaming java code and displaying them on screen. The daemons are all up: Spark-master,worker; zookeeper; kafka. I am writing a java code for doing it, using KafkaUtils.createStream code is below: package com.spark; import scala.Tuple2; import kafka.serializer.Decoder; import kafka.serializer.Encoder; import org.apache.spark.streaming.Duration; import org.apache.spa
Re: Kafka+Spark-streaming issue: Stream 0 received 0 blocks
It says:
14/11/27 11:56:05 WARN scheduler.TaskSchedulerImpl: Initial job has not
accepted any resources; check your cluster UI to ensure that workers are
registered and have sufficient memory
A quick guess would be, you are giving the wrong master url. ( spark://
192.168.88.130:7077 ) Open the webUI running on port 8080 and use the
master url listed there on top left corner of the page.
Thanks
Best Regards
On Mon, Dec 1, 2014 at 3:42 PM, wrote:
> Hi,
>
>
>
> I am integrating Kafka and Spark, using spark-streaming. I have created a
> topic as a kafka producer:
>
>
>
> bin/kafka-topics.sh --create --zookeeper localhost:2181
> --replication-factor 1 --partitions 1 --topic test
>
>
>
>
>
> I am publishing messages in kafka and trying to read them using
> spark-streaming java code and displaying them on screen.
>
> The daemons are all up: Spark-master,worker; zookeeper; kafka.
>
> I am writing a java code for doing it, using KafkaUtils.createStream
>
> code is below:
>
>
>
> *package* *com.spark*;
>
>
>
> *import* scala.Tuple2;
>
> *import* *kafka*.serializer.Decoder;
>
> *import* *kafka*.serializer.Encoder;
>
> *import* org.apache.spark.streaming.Duration;
>
> *import* org.apache.spark.*;
>
> *import* org.apache.spark.api.java.function.*;
>
> *import* org.apache.spark.api.java.*;
>
> *import* *org.apache.spark.streaming.kafka*.KafkaUtils;
>
> *import* *org.apache.spark.streaming.kafka*.*;
>
> *import* org.apache.spark.streaming.api.java.JavaStreamingContext;
>
> *import* org.apache.spark.streaming.api.java.JavaPairDStream;
>
> *import* org.apache.spark.streaming.api.java.JavaDStream;
>
> *import* org.apache.spark.streaming.api.java.JavaPairReceiverInputDStream;
>
> *import* java.util.Map;
>
> *import* java.util.HashMap;
>
>
>
> *public* *class* *SparkStream* {
>
>*public* *static* *void* main(String args[])
>
>{
>
> *if*(args.length != 3)
>
> {
>
> System.*out*.println("Usage: spark-submit –class
> com.spark.SparkStream target/SparkStream-with-dependencies.jar
> ");
>
> System.*exit*(1);
>
> }
>
>
>
>
>
> Map topicMap = *new*
> HashMap();
>
> String[] topic = args[2].split(",");
>
> *for*(String t: topic)
>
> {
>
> topicMap.put(t, *new* Integer(1));
>
> }
>
>
>
> JavaStreamingContext jssc = *new* JavaStreamingContext(
> "spark://192.168.88.130:7077", "SparkStream", *new* Duration(3000));
>
> JavaPairReceiverInputDStream messages =
> *KafkaUtils*.createStream(jssc, args[0], args[1], topicMap );
>
>
>
> System.*out*.println("Connection done");
>
> JavaDStream data = messages.map(*new*
> *Function String>, String>()*
>
> {
>
>*public* String
> call(Tuple2 message)
>
>{
>
> System.*out*
> .println("NewMessage: "+message._2()); //for debugging
>
> *return*
> message._2();
>
>}
>
> });
>
>
>
> data.print();
>
>
>
> jssc.start();
>
> jssc.awaitTermination();
>
>
>
>}
>
> }
>
>
>
>
>
> I am running the job, and at other terminal I am running kafka-producer to
> publish messages:
>
> #bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test
>
> >Hi kafka
>
> >second message
>
> >another message
>
>
>
> But the output logs at the spark-streaming console doesn't show the
> messages, but shows zero blocks received:
>
>
>
>
>
> ---
>
> Time: 1417107363000 ms
>
> ---
>
>
>
> 14/11/27 11:56:03 INFO scheduler.JobScheduler: Starting job streaming
> job 1417107363000 ms.0 from job set of time 1417107363000 ms
>
> 14/11/27 11:56:03 INFO scheduler.JobScheduler: Finished job streaming
> job 1417107363000 ms.0 from job set of time 1417107363000 ms
>
> 14/11/27 11:56:03 INFO scheduler.JobScheduler: Total delay: 0.008 s
> for time 1417107363000 ms (execution: 0.000 s)
>
> 14/11/27 11:56:03 INFO scheduler.JobScheduler: Added jobs for time
> 1417107363000 ms
>
> 14/11/27 11:56:03 INFO rdd.BlockRDD: Removing RDD 13 from persistence
> list
>
> 14/11/27 11:56:03 INFO storage.BlockManager: Removing RDD 13
>
> 14/11/27 11:56:03 INFO kafka.KafkaInputDStream: Removing blocks of RDD
> BlockRDD[13] at BlockRDD at ReceiverInputDStream.scala:69 of time
> 1417107363000 ms
>
> 14/11/27 11:56:05 WARN scheduler.TaskSchedulerImpl: Initial job has
> not accepted any resources; check your cluster UI to ensure that workers
> are regi
