Return-Path: X-Original-To: apmail-spark-user-archive@minotaur.apache.org Delivered-To: apmail-spark-user-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 4254A109FA for ; Mon, 1 Dec 2014 12:26:30 +0000 (UTC) Received: (qmail 67114 invoked by uid 500); 1 Dec 2014 12:26:26 -0000 Delivered-To: apmail-spark-user-archive@spark.apache.org Received: (qmail 67042 invoked by uid 500); 1 Dec 2014 12:26:26 -0000 Mailing-List: contact user-help@spark.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list user@spark.apache.org Received: (qmail 67032 invoked by uid 99); 1 Dec 2014 12:26:26 -0000 Received: from nike.apache.org (HELO nike.apache.org) (192.87.106.230) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 01 Dec 2014 12:26:26 +0000 X-ASF-Spam-Status: No, hits=1.5 required=5.0 tests=HTML_MESSAGE,RCVD_IN_DNSWL_LOW,SPF_PASS,WEIRD_PORT X-Spam-Check-By: apache.org Received-SPF: pass (nike.apache.org: domain of gerard.maas@gmail.com designates 74.125.82.41 as permitted sender) Received: from [74.125.82.41] (HELO mail-wg0-f41.google.com) (74.125.82.41) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 01 Dec 2014 12:25:58 +0000 Received: by mail-wg0-f41.google.com with SMTP id y19so13940439wgg.14 for ; Mon, 01 Dec 2014 04:25:12 -0800 (PST) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20120113; h=mime-version:in-reply-to:references:from:date:message-id:subject:to :cc:content-type; bh=sVD1ihpn4Td9LSWDWvRdzEhG6D9RgO4yI5/k4UFnBr4=; b=HfLyJzllQGNfltZYpFGzy6l/6izMdvOhzyCral3krmyrbw9Ms16QWN86XK6+L6ELRA 80C5tTpvclJrs6CpjZcCPlX7yOMQkLSjMrQUFlyN24PgisF15V3zRR1Jm7ARgaIN5GmE QS05bQgtvc0Iz3e2OlnZd1NCndb09m/BUX3Y2b1Mq4cPktXpVomTmdgpdySF88FkwRF5 CGAWQ94DWXkf0e2bm7qpI/JJAgArYCju3CrYcmt9h8KjnUe3/Xf5eT0BEp/XlvcHlPz+ i1FMQJNMu5QpywxJGDmmA+mkJgpjuntoOKLssLf4BuhEk462oc1vDl+EEMmNGTKA/qEp l3xg== X-Received: by 10.194.59.166 with SMTP id a6mr30769124wjr.49.1417436711342; Mon, 01 Dec 2014 04:25:11 -0800 (PST) MIME-Version: 1.0 Received: by 10.194.189.8 with HTTP; Mon, 1 Dec 2014 04:24:40 -0800 (PST) In-Reply-To: <69770fb8937e4755ada83c4a54ab95e5@CO2PR42MB187.048d.mgd.msft.net> References: <65891621c67f4abcac62f8e9789236ce@CO2PR42MB187.048d.mgd.msft.net> <69770fb8937e4755ada83c4a54ab95e5@CO2PR42MB187.048d.mgd.msft.net> From: Gerard Maas Date: Mon, 1 Dec 2014 13:24:40 +0100 Message-ID: Subject: Re: Kafka+Spark-streaming issue: Stream 0 received 0 blocks To: m.sarosh@accenture.com Cc: akhil@sigmoidanalytics.com, spark users Content-Type: multipart/related; boundary=047d7b86dc66abed70050926b318 X-Virus-Checked: Checked by ClamAV on apache.org --047d7b86dc66abed70050926b318 Content-Type: multipart/alternative; boundary=047d7b86dc66abed6d050926b317 --047d7b86dc66abed6d050926b317 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: quoted-printable You have only 1 core available - Spark Streaming will be able to consume messages but not process them as there're no additional resources to process the RDD. You need to further tune your configuration to add more cores at the executor. Have a look at the configuration options in the docs: http://spark.apache.org/docs/latest/spark-standalone.html -kr, Gerard. On Mon, Dec 1, 2014 at 1:08 PM, wrote: > Hi, > > I have now configured the Spark=E2=80=A6I had CDH5 installation, so refer= red the > installation doc. > > I have the worker up now: > > Now I tried using: > > JavaStreamingContext jssc =3D *new* JavaStreamingContext("spark:// > 192.168.88.130:7077", "SparkStream", *new* Duration(3000)); > > > > Also, > > JavaStreamingContext jssc =3D *new* JavaStreamingContext("local[4]", > "SparkStream", *new* Duration(3000)); > > > > And, > > JavaStreamingContext jssc =3D *new* JavaStreamingContext("local[*]", > "SparkStream", *new* Duration(3000)); > > > > > > Log are still the same: > > ------------------------------------------- > > Time: 1417438988000 ms > > ------------------------------------------- > > > > 2014-12-01 08:03:08,008 INFO > [sparkDriver-akka.actor.default-dispatcher-4] scheduler.JobScheduler > (Logging.scala:logInfo(59)) - Starting job streaming job 1417438988000 ms= .0 > from job set of time 1417438988000 ms > > 2014-12-01 08:03:08,008 INFO > [sparkDriver-akka.actor.default-dispatcher-4] scheduler.JobScheduler > (Logging.scala:logInfo(59)) - Finished job streaming job 1417438988000 ms= .0 > from job set of time 1417438988000 ms > > 2014-12-01 08:03:08,009 INFO > [sparkDriver-akka.actor.default-dispatcher-4] scheduler.JobScheduler > (Logging.scala:logInfo(59)) - Total delay: 0.008 s for time 1417438988000 > ms (execution: 0.000 s) > > 2014-12-01 08:03:08,010 INFO > [sparkDriver-akka.actor.default-dispatcher-15] scheduler.JobScheduler > (Logging.scala:logInfo(59)) - Added jobs for time 1417438988000 ms > > 2014-12-01 08:03:08,015 INFO > [sparkDriver-akka.actor.default-dispatcher-15] rdd.MappedRDD > (Logging.scala:logInfo(59)) - Removing RDD 39 from persistence list > > 2014-12-01 08:03:08,024 INFO > [sparkDriver-akka.actor.default-dispatcher-4] storage.BlockManager > (Logging.scala:logInfo(59)) - Removing RDD 39 > > 2014-12-01 08:03:08,027 INFO > [sparkDriver-akka.actor.default-dispatcher-15] rdd.BlockRDD > (Logging.scala:logInfo(59)) - Removing RDD 38 from persistence list > > 2014-12-01 08:03:08,031 INFO > [sparkDriver-akka.actor.default-dispatcher-2] storage.BlockManager > (Logging.scala:logInfo(59)) - Removing RDD 38 > > 2014-12-01 08:03:08,033 INFO > [sparkDriver-akka.actor.default-dispatcher-15] kafka.KafkaInputDStream > (Logging.scala:logInfo(59)) - Removing blocks of RDD BlockRDD[38] at > BlockRDD at ReceiverInputDStream.scala:69 of time 1417438988000 ms > > 2014-12-01 08:03:09,002 INFO > [sparkDriver-akka.actor.default-dispatcher-2] scheduler.ReceiverTracker > (Logging.scala:logInfo(59)) - Stream 0 received 0 blocks > > > > > > > > *From:* Akhil Das [mailto:akhil@sigmoidanalytics.com] > *Sent:* Monday, December 01, 2014 4:41 PM > > *To:* Sarosh, M. > *Cc:* user@spark.apache.org > *Subject:* 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 chang= e > this line > > > > JavaStreamingContext jssc =3D *new* JavaStreamingContext("spark:// > 192.168.88.130:7077", "SparkStream", *new* Duration(3000)); > > > > to this > > > > JavaStreamingContext jssc =3D *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: 1417427850000 ms > > ------------------------------------------- > > > > INFO [sparkDriver-akka.actor.default-dispatcher-2] scheduler.JobSchedule= r > (Logging.scala:logInfo(59)) - Starting job streaming job 1417427850000 ms= .0 > from job set of time 1417427850000 ms > > INFO [sparkDriver-akka.actor.default-dispatcher-2] scheduler.JobSchedule= r > (Logging.scala:logInfo(59)) - Finished job streaming job 1417427850000 ms= .0 > from job set of time 1417427850000 ms > > INFO [sparkDriver-akka.actor.default-dispatcher-2] scheduler.JobSchedule= r > (Logging.scala:logInfo(59)) - Total delay: 0.028 s for time 1417427850000 > ms (execution: 0.001 s) > > INFO [sparkDriver-akka.actor.default-dispatcher-5] scheduler.JobSchedule= r > (Logging.scala:logInfo(59)) - Added jobs for time 1417427850000 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 > 1417427850000 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.JobSchedule= r > (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.JobSchedule= r > (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.JobSchedule= r > (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.JobSchedule= r > (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:akhil@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 ) 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 !=3D 3) > > { > > System.*out*.println("Usage: spark-submit =E2=80=93c= lass > com.spark.SparkStream target/SparkStream-with-dependencies.jar > "); > > System.*exit*(1); > > } > > > > > > Map topicMap =3D *new* > HashMap(); > > String[] topic =3D args[2].split(","); > > *for*(String t: topic) > > { > > topicMap.put(t, *new* Integer(1)); > > } > > > > JavaStreamingContext jssc =3D *new* JavaStreamingContext( > "spark://192.168.88.130:7077", "SparkStream", *new* Duration(3000)); > > JavaPairReceiverInputDStream messages =3D > *KafkaUtils*.createStream(jssc, args[0], args[1], topicMap ); > > > > System.*out*.println("Connection done"); > > JavaDStream data =3D 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 t= o > 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 RD= D > 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 registered and have sufficient memory > > 14/11/27 11:56:06 INFO scheduler.ReceiverTracker*: Stream 0 received > 0 blocks* > > > > > > Why isn't the data block getting received? i have tried using kafka > producer-consumer on console bin/kafka-console-producer.... and > bin/kafka-console-consumer... its working perfect, but why not the code > above? Please help me. > > > > > > Regards, > > Aiman Sarosh > > > > > ------------------------------ > > > This message is for the designated recipient only and may contain > privileged, proprietary, or otherwise confidential information. If you ha= ve > received it in error, please notify the sender immediately and delete the > original. Any other use of the e-mail by you is prohibited. Where allowed > by local law, electronic communications with Accenture and its affiliates= , > including e-mail and instant messaging (including content), may be scanne= d > by our systems for the purposes of information security and assessment of > internal compliance with Accenture policy. > > _________________________________________________________________________= _____________ > > www.accenture.com > > > > > --047d7b86dc66abed6d050926b317 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable
You have only 1 core available - Spark Streaming will be a= ble to consume messages but not process them as there're no additional = resources to process the RDD.
You need to further tune your configurati= on to add more cores at the executor. Have a look at the configuration opti= ons in the docs:=C2=A0http://spark.apache.org/docs/latest/spark-standalone.html<= /a>


On Mon, Dec 1, 2014 at 1:08 PM, <m.sarosh@accenture.com> wrote:

Hi,<= /p>

I have now configured the= Spark=E2=80=A6I had CDH5 installation, so referred the installation doc.

I have the worker up now:=

Now I tried using:=

JavaStreamingContext jssc =3D=C2=A0new=C2=A0JavaStreamin= gContext("spark://192.168.88.130:7077",=C2=A0"SparkStream",=C2=A0= new<= /span>=C2=A0Duration(3000));

=C2=A0

Also,

JavaStreamingContext jssc =3D=C2=A0new=C2=A0JavaStreamin= gContext("local[4]",=C2=A0"SparkStream",=C2=A0new= =C2= =A0Duration(3000));

=C2=A0

And,

JavaStreamingContext jssc =3D=C2=A0new=C2=A0JavaStreamin= gContext("local[*]",=C2=A0"SparkStream",=C2=A0new= =C2= =A0Duration(3000));

=C2=A0

=C2=A0

Log are still the same:

-------------------------------------------<= /u>

Time: 1417438988000 ms

-------------------------------------------<= /u>

=C2=A0

2014-12-01 08:03:08,008 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-4] scheduler.JobScheduler (Logging.scala:log= Info(59)) - Starting job streaming job 1417438988000 ms.0 from job set of time 1417438988000 ms

2014-12-01 08:03:08,008 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-4] scheduler.JobScheduler (Logging.scala:log= Info(59)) - Finished job streaming job 1417438988000 ms.0 from job set of time 1417438988000 ms

2014-12-01 08:03:08,009 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-4] scheduler.JobScheduler (Logging.scala:log= Info(59)) - Total delay: 0.008 s for time 1417438988000 ms (execution: 0.000 s)

2014-12-01 08:03:08,010 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-15] scheduler.JobScheduler (Logging.scala:lo= gInfo(59)) - Added jobs for time 1417438988000 ms

2014-12-01 08:03:08,015 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-15] rdd.MappedRDD (Logging.scala:logInfo(59)= ) - Removing RDD 39 from persistence list

2014-12-01 08:03:08,024 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-4] storage.BlockManager (Logging.scala:logIn= fo(59)) - Removing RDD 39

2014-12-01 08:03:08,027 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-15] rdd.BlockRDD (Logging.scala:logInfo(59))= - Removing RDD 38 from persistence list

2014-12-01 08:03:08,031 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-2] storage.BlockManager (Logging.scala:logIn= fo(59)) - Removing RDD 38

2014-12-01 08:03:08,033 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-15] kafka.KafkaInputDStream (Logging.scala:l= ogInfo(59)) - Removing blocks of RDD BlockRDD[38] at BlockRDD at ReceiverInputDStream.scala:69 of time 1417438988000 ms<= u>

2014-12-01 08:03:09,002 INFO=C2=A0 [sparkDriver= -akka.actor.default-dispatcher-2] scheduler.ReceiverTracker (Logging.scala:= logInfo(59)) - Stream 0 received 0 blocks

=C2=A0

=C2=A0

=C2=A0

From: Akhil Da= s [mailto:a= khil@sigmoidanalytics.com]
Sent: Monday, December 01, 2014 4:41 PM


To: Sarosh, M.
Cc: user@= spark.apache.org
Subject: Re: Kafka+Spark-streaming issue: Stream 0 received 0 blocks=

=C2=A0

I see you have no worker machines to execute the job<= /u>

=C2=A0

3D"Inline

=C2=A0

You haven't configured your spark cluster properly.=C2=A0

=C2=A0

Quick fix to get it running would be run it on local mode, for = that change this line=C2=A0

=C2=A0

JavaStreamingContext jssc =3D=C2=A0new=C2=A0JavaStreamin= gContext("spark://192.168.88.130:7077",=C2=A0"SparkStream",=C2=A0= new<= /span>=C2=A0Duration(3000));

=C2=A0

to this

=C2=A0

JavaStreamingContext jssc =3D=C2=A0new=C2=A0JavaStreamin= gContext("local[4]",=C2=A0"SparkStream",=C2=A0new= =C2= =A0Duration(3000));

=C2=A0


Thanks

Best Regards

=C2=A0

On Mon, Dec 1, 2014 at 4:18 PM, <m.sarosh@accenture.com> = wrote:

Hi,<= /p>

=C2=A0

The spark master is worki= ng, and I have given the same url in the code:

=

=C2=A0

The warning is gone, and = the new log is:

-------------------------------------------

Time: 1417427850000 ms

-------------------------------------------

=C2=A0

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-2] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Starting job streaming job 1417427850000 ms.0 from job set of time 1417427850000 ms=

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-2] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Finished job streaming job 1417427850000 ms.0 from job set of time 1417427850000 ms=

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-2] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Total delay: 0.028 s for time 1417427850000 ms (execution: 0.001 s)

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-5] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Added jobs for time 1417427850000 ms

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-5] rdd.MappedRDD (Logging.scala:logInfo(59)) - Removing RDD 25 from persistence list

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-15] storage.BlockManager (Logging.scala:logInfo(59)) - Removing RDD 25

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-5] rdd.BlockRDD (Logging.scala:logInfo(59)) - Removing RDD 24 from persistence list

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-6] storage.BlockManager (Logging.scala:logInfo(59)) - Removing RDD 24

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-5] kafka.KafkaInputDStream (Logging.scala:logInfo(59)) - Removing blocks of RDD BlockRDD[24] at BlockRDD at ReceiverInputDStream.scala:69 of= time 1417427850000 ms

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-4] scheduler.ReceiverTracker (Logging.scala:logInfo(59)) - Stream 0 received 0 blocks

-------------------------------------------

Time: 1417427853000 ms

-------------------------------------------

=C2=A0

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-5] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Starting job streaming job 1417427853000 ms.0 from job set of time 1417427853000 ms=

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-5] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Finished job streaming job 1417427853000 ms.0 from job set of time 1417427853000 ms=

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-5] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Total delay: 0.015 s for time 1417427853000 ms (execution: 0.001 s)

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-4] scheduler.JobScheduler (Logging.scala:logInfo(59)) - Added jobs for time 1417427853000 ms

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-4] rdd.MappedRDD (Logging.scala:logInfo(59)) - Removing RDD 27 from persistence list

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-5] storage.BlockManager (Logging.scala:logInfo(59)) - Removing RDD 27

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-4] rdd.BlockRDD (Logging.scala:logInfo(59)) - Removing RDD 26 from persistence list

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-6] storage.BlockManager (Logging.scala:logInfo(59)) - Removing RDD 26

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-4] kafka.KafkaInputDStream (Logging.scala:logInfo(59)) - Removing blocks of RDD BlockRDD[26] at BlockRDD at ReceiverInputDStream.scala:69 of= time 1417427853000 ms

INFO=C2=A0 [sparkDriver-akka.actor.default-di= spatcher-6] scheduler.ReceiverTracker (Logging.scala:logInfo(59)) - Stream 0 received 0 blocks

=C2=A0

What should be my approac= h now ?

Need urgent help.<= u>

=C2=A0

Regards,=

Aiman

=C2=A0

From: Akhil Da= s [mailto:a= khil@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=

=C2=A0

It says:

=C2=A0

=C2=A014/11/27 11:56:05 WARN scheduler.TaskS= chedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memor= y

=C2=A0


Thanks

Best Regards

=C2=A0

On Mon, Dec 1, 2014 at 3:42 PM, <m.sarosh@accenture.com> = wrote:

Hi,

=C2=A0

I am integrating Kafka and Spark, using spark-stream= ing. I have created a topic as a kafka producer:

=C2=A0

= =C2=A0=C2=A0=C2=A0 bin/kafka-topics.sh --create --zookeeper localhost:2181 = --replication-factor 1 --partitions 1 --topic test

=C2=A0

=C2=A0

I am publishing messages in kafka and trying to read= them using spark-streaming java code and displaying them on screen.=C2=A0

The daemons are all up: Spark-master,worker; zookeep= er; kafka.=C2=A0

I am writing a java code for doing it, using KafkaUt= ils.createStream=C2=A0

code is below:=C2=A0

=C2=A0

pack= age com.spark;

=C2=A0<= u>

impo= rt scala.Tuple2;

impo= rt kafka.serializer.Decoder;

impo= rt kafka.serializer.Encoder;

impo= rt org.apache.spark.streaming.Duration;

impo= rt org.apache.spark.*;

impo= rt org.apache.spark.api.java.function.*;

impo= rt org.apache.spark.api.java.*;

impo= rt org.apache.spark.streaming.kafka.KafkaUtils;

impo= rt org.apache.spark.streaming.kafka.*;

impo= rt org.apache.spark.streaming.api.java.JavaStreamingContext;

impo= rt org.apache.spark.streaming.api.java.JavaPairDStream;<= /u>

impo= rt org.apache.spark.streaming.api.java.JavaDStream;<= /p>

impo= rt org.apache.spark.streaming.api.java.JavaPairReceiverInputDStream;

impo= rt java.util.Map;

impo= rt java.util.HashMap;

=C2=A0<= u>

publ= ic class SparkStream {

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0 public static void main(String args[])

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0 {

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 if= (args.length !=3D 3)

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 {

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 System.out.println("Usage: spark-submit =E2=80=93class com.spark.SparkStream target/SparkStream-with-= dependencies.jar <zookeeper_ip> <group_name> <topic1,topic2,= ...>");

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 System.exit(1);

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 }

=C2=A0<= u>

=C2=A0<= u>

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Map&l= t;String,Integer> topicMap =3D new HashMap<String,Integer>();

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Strin= g[] topic =3D args[2].split(",");

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 for<= /span>(String t: topic)

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 {

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 topicMap.put(t, new Integer(1));

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 }

=C2=A0<= u>

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 JavaS= treamingContext jssc =3D new JavaStreamingContext("spark://192.168.88.130:7077", = "SparkStream", new Duration(3000));

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 JavaP= airReceiverInputDStream<String, String> messages =3D KafkaUtils.createStream(jssc, args[0], args[1], topicMap );

=C2=A0<= u>

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 Syste= m.out.println("Connection done");

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 JavaD= Stream<String> data =3D messages.map(new Function<Tuple2<String, String>, String>()

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 {

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 =C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0 public String call(Tuple2<String, String> message)=

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 =C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0 {

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 =C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 System.out= .prin= tln("NewMessage: "+message._2()); = //for debugging

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 =C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 return message._2();

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 =C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0 }

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0= =C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 });

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0

data.prin= t();

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 jssc.= start();

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0=C2=A0 jssc.= awaitTermination();

=C2=A0<= u>

=C2=A0=C2= =A0=C2=A0=C2=A0=C2=A0=C2=A0 }

}

=C2=A0

=C2=A0

I am running the job, and at other terminal I am run= ning kafka-producer to publish messages:=C2=A0

= #bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test

= >=C2=A0=C2=A0=C2=A0 Hi kafka

= >=C2=A0=C2=A0=C2=A0 second message

= >=C2=A0=C2=A0=C2=A0 another message

=C2=A0

But the output logs at the spark-streaming console d= oesn't show the messages, but shows zero blocks received:=

=C2=A0

= =C2=A0

= =C2=A0=C2=A0=C2=A0 -------------------------------------------

= =C2=A0=C2=A0=C2=A0 Time: 1417107363000 ms

= =C2=A0=C2=A0=C2=A0 -------------------------------------------

= =C2=A0=C2=A0=C2=A0

= =C2=A0=C2=A0=C2=A0=C2=A014/11/27 11:56:03 INFO scheduler.JobScheduler: Star= ting job streaming job 1417107363000 ms.0 from job set of time 141710736300= 0 ms

= =C2=A0=C2=A0=C2=A0 14/11/27 11:56:03 INFO scheduler.JobScheduler: Finished = job streaming job 1417107363000 ms.0 from job set of time 1417107363000 ms<= /span>

= =C2=A0=C2=A0=C2=A0 14/11/27 11:56:03 INFO scheduler.JobScheduler: Total del= ay: 0.008 s for time 1417107363000 ms (execution: 0.000 s)=

= =C2=A0=C2=A0=C2=A0 14/11/27 11:56:03 INFO scheduler.JobScheduler: Added job= s for time 1417107363000 ms

= =C2=A0=C2=A0=C2=A0 14/11/27 11:56:03 INFO rdd.BlockRDD: Removing RDD 13 fro= m persistence list

= =C2=A0=C2=A0=C2=A0 14/11/27 11:56:03 INFO storage.BlockManager: Removing RD= D 13

= =C2=A0=C2=A0=C2=A0 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

= =C2=A0=C2=A0=C2=A0 14/11/27 11:56:05 WARN scheduler.TaskSchedulerImpl: Init= ial job has not accepted any resources; check your cluster UI to ensure tha= t workers are registered and have sufficient memory

= =C2=A0=C2=A0=C2=A0 14/11/27 11:56:06 INFO scheduler.ReceiverTracker: = Stream 0 received 0 blocks

= =C2=A0

=C2=A0

Why isn't the data block getting received? i hav= e tried using kafka producer-consumer on console bin/kafka-console-produ= cer....=C2=A0 and bin/kafka-console-consu= mer... =C2=A0its working perfect, but why not the code above? Please= help me.

=C2=A0

=C2=A0

Regards,

Aiman Sarosh

=C2=A0

=C2=A0


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=C2=A0

=C2=A0


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