> Sounds like the issue is with Kafka channel, it is closing.
Made the same conclusion as well. I’ve even tried further refining the configuration files: Zookeeper properties: # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # the directory where the snapshot is stored. dataDir=/tmp/zookeeper # the port at which the clients will connect clientPort=2181 # disable the per-ip limit on the number of connections since this is a non-production config maxClientCnxns=20 Kafka server properties: # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # see kafka.server.KafkaConfig for additional details and defaults ############################# Server Basics ############################# # The id of the broker. This must be set to a unique integer for each broker. broker.id=1 ############################# Socket Server Settings ############################# listeners=PLAINTEXT://:9092 # The port the socket server listens on #port=9092 # Hostname the broker will bind to. If not set, the server will bind to all interfaces host.name=0.0.0.0 # Hostname the broker will advertise to producers and consumers. If not set, it uses the # value for "host.name" if configured. Otherwise, it will use the value returned from # java.net.InetAddress.getCanonicalHostName(). #advertised.host.name=<hostname routable by clients> # The port to publish to ZooKeeper for clients to use. If this is not set, # it will publish the same port that the broker binds to. #advertised.port=<port accessible by clients> # The number of threads handling network requests num.network.threads=3 # The number of threads doing disk I/O num.io.threads=8 # The send buffer (SO_SNDBUF) used by the socket server socket.send.buffer.bytes=102400 # The receive buffer (SO_RCVBUF) used by the socket server socket.receive.buffer.bytes=102400 # The maximum size of a request that the socket server will accept (protection against OOM) socket.request.max.bytes=104857600 ############################# Log Basics ############################# # A comma seperated list of directories under which to store log files log.dirs=/tmp/kafka-logs # The default number of log partitions per topic. More partitions allow greater # parallelism for consumption, but this will also result in more files across # the brokers. num.partitions=1 # The number of threads per data directory to be used for log recovery at startup and flushing at shutdown. # This value is recommended to be increased for installations with data dirs located in RAID array. num.recovery.threads.per.data.dir=1 ############################# Log Flush Policy ############################# # Messages are immediately written to the filesystem but by default we only fsync() to sync # the OS cache lazily. The following configurations control the flush of data to disk. # There are a few important trade-offs here: # 1. Durability: Unflushed data may be lost if you are not using replication. # 2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush. # 3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to exceessive seeks. # The settings below allow one to configure the flush policy to flush data after a period of time or # every N messages (or both). This can be done globally and overridden on a per-topic basis. # The number of messages to accept before forcing a flush of data to disk #log.flush.interval.messages=10000 # The maximum amount of time a message can sit in a log before we force a flush #log.flush.interval.ms=1000 ############################# Log Retention Policy ############################# # The following configurations control the disposal of log segments. The policy can # be set to delete segments after a period of time, or after a given size has accumulated. # A segment will be deleted whenever *either* of these criteria are met. Deletion always happens # from the end of the log. # The minimum age of a log file to be eligible for deletion log.retention.hours=168 # A size-based retention policy for logs. Segments are pruned from the log as long as the remaining # segments don't drop below log.retention.bytes. #log.retention.bytes=1073741824 # The maximum size of a log segment file. When this size is reached a new log segment will be created. log.segment.bytes=1073741824 # The interval at which log segments are checked to see if they can be deleted according # to the retention policies log.retention.check.interval.ms=300000 ############################# Zookeeper ############################# # Zookeeper connection string (see zookeeper docs for details). # This is a comma separated host:port pairs, each corresponding to a zk # server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002". # You can also append an optional chroot string to the urls to specify the # root directory for all kafka znodes. zookeeper.connect=localhost:2181 # Timeout in ms for connecting to zookeeper zookeeper.connection.timeout.ms=6000 Kafka consumer properties: # Licensed to the Apache Software Foundation (ASF) under one or more # contributor license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright ownership. # The ASF licenses this file to You under the Apache License, Version 2.0 # (the "License"); you may not use this file except in compliance with # the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # see kafka.consumer.ConsumerConfig for more details # Zookeeper connection string # comma separated host:port pairs, each corresponding to a zk # server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002" zookeeper.connect=127.0.0.1:2181 # timeout in ms for connecting to zookeeper zookeeper.connection.timeout.ms=6000 #consumer group id group.id=test-consumer-group #consumer timeout #consumer.timeout.ms=5000 For proof-of-concept purpose, this basic configuration shall be executable in terms of being able to consume messages from Kafka. Or perhaps not? > On 07 Jun 2016, at 12:44, Mich Talebzadeh <mich.talebza...@gmail.com> wrote: > > Sounds like the issue is with Kafka channel, it is closing. > > Reconnect due to socket error: java.nio.channels.ClosedChannelException > > Can you relax that > > val ssc = new StreamingContext(sparkConf, Seconds(20) > > Also how are you getting your source data? You can actually have both Spark > and the output below at the same time running tol see the exact cause of it > > ${KAFKA_HOME}/bin/kafka-console-consumer.sh --zookeeper rhes564:2181 > --from-beginning --topic newtopic > > > > > > Dr Mich Talebzadeh > > LinkedIn > https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw > > <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw> > > http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> > > > On 7 June 2016 at 11:32, Dominik Safaric <dominiksafa...@gmail.com > <mailto:dominiksafa...@gmail.com>> wrote: > Unfortunately, even with this Spark configuration and Kafka parameters, the > same exception keeps occurring: > > 16/06/07 12:26:11 INFO SimpleConsumer: Reconnect due to socket error: > java.nio.channels.ClosedChannelException > org.apache.spark.SparkException: java.nio.channels.ClosedChannelException > org.apache.spark.SparkException: Couldn't find leader offsets for > Set([<topicname>,0]) > at > org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$checkErrors$1.apply(KafkaCluster.scala:366) > at > org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$checkErrors$1.apply(KafkaCluster.scala:366) > at scala.util.Either.fold(Either.scala:97) > at > org.apache.spark.streaming.kafka.KafkaCluster$.checkErrors(KafkaCluster.scala:365) > at > org.apache.spark.streaming.kafka.KafkaUtils$.getFromOffsets(KafkaUtils.scala:222) > > If it helps for troubleshooting, here are the logs of the Kafka server: > > 16-06-07 10:24:58,349] INFO Initiating client connection, > connectString=localhost:2181 sessionTimeout=6000 > watcher=org.I0Itec.zkclient.ZkClient@4e05faa7 (org.apache.zookeeper.ZooKeeper) > [2016-06-07 10:24:58,365] INFO Opening socket connection to server > localhost/127.0.0.1:2181 <http://127.0.0.1:2181/>. Will not attempt to > authenticate using SASL (unknown error) (org.apache.zookeeper.ClientCnxn) > [2016-06-07 10:24:58,365] INFO Waiting for keeper state SyncConnected > (org.I0Itec.zkclient.ZkClient) > [2016-06-07 10:24:58,375] INFO Socket connection established to > localhost/127.0.0.1:2181 <http://127.0.0.1:2181/>, initiating session > (org.apache.zookeeper.ClientCnxn) > [2016-06-07 10:24:58,405] INFO Session establishment complete on server > localhost/127.0.0.1:2181 <http://127.0.0.1:2181/>, sessionid = > 0x1552a64a9a80000, negotiated timeout = 6000 (org.apache.zookeeper.ClientCnxn) > [2016-06-07 10:24:58,408] INFO zookeeper state changed (SyncConnected) > (org.I0Itec.zkclient.ZkClient) > [2016-06-07 10:24:58,562] INFO Loading logs. (kafka.log.LogManager) > [2016-06-07 10:24:58,608] INFO Completed load of log <topic_name>-0 with log > end offset 15 (kafka.log.Log) > [2016-06-07 10:24:58,614] INFO Completed load of log _schemas-0 with log end > offset 1 (kafka.log.Log) > [2016-06-07 10:24:58,617] INFO Completed load of log <topic_name>-0 with log > end offset 5 (kafka.log.Log) > [2016-06-07 10:24:58,620] INFO Completed load of log <topic_name>-0 with log > end offset 2 (kafka.log.Log) > [2016-06-07 10:24:58,629] INFO Completed load of log <topic_name>-0 with log > end offset 1759 (kafka.log.Log) > [2016-06-07 10:24:58,635] INFO Logs loading complete. (kafka.log.LogManager) > [2016-06-07 10:24:58,737] INFO Starting log cleanup with a period of 300000 > ms. (kafka.log.LogManager) > [2016-06-07 10:24:58,739] INFO Starting log flusher with a default period of > 9223372036854775807 ms. (kafka.log.LogManager) > [2016-06-07 10:24:58,798] INFO Awaiting socket connections on 0.0.0.0:9092 > <http://0.0.0.0:9092/>. (kafka.network.Acceptor) > [2016-06-07 10:24:58,809] INFO [Socket Server on Broker 1], Started 1 > acceptor threads (kafka.network.SocketServer) > [2016-06-07 10:24:58,849] INFO [ExpirationReaper-1], Starting > (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper) > [2016-06-07 10:24:58,850] INFO [ExpirationReaper-1], Starting > (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper) > [2016-06-07 10:24:58,953] INFO Creating /controller (is it secure? false) > (kafka.utils.ZKCheckedEphemeral) > [2016-06-07 10:24:58,973] INFO Result of znode creation is: OK > (kafka.utils.ZKCheckedEphemeral) > [2016-06-07 10:24:58,974] INFO 1 successfully elected as leader > (kafka.server.ZookeeperLeaderElector) > [2016-06-07 10:24:59,180] INFO [GroupCoordinator 1]: Starting up. > (kafka.coordinator.GroupCoordinator) > [2016-06-07 10:24:59,191] INFO [ExpirationReaper-1], Starting > (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper) > [2016-06-07 10:24:59,194] INFO New leader is 1 > (kafka.server.ZookeeperLeaderElector$LeaderChangeListener) > [2016-06-07 10:24:59,198] INFO [Group Metadata Manager on Broker 1]: Removed > 0 expired offsets in 16 milliseconds. (kafka.coordinator.GroupMetadataManager) > [2016-06-07 10:24:59,195] INFO [ExpirationReaper-1], Starting > (kafka.server.DelayedOperationPurgatory$ExpiredOperationReaper) > [2016-06-07 10:24:59,195] INFO [GroupCoordinator 1]: Startup complete. > (kafka.coordinator.GroupCoordinator) > [2016-06-07 10:24:59,215] INFO [ThrottledRequestReaper-Produce], Starting > (kafka.server.ClientQuotaManager$ThrottledRequestReaper) > [2016-06-07 10:24:59,217] INFO [ThrottledRequestReaper-Fetch], Starting > (kafka.server.ClientQuotaManager$ThrottledRequestReaper) > [2016-06-07 10:24:59,220] INFO Will not load MX4J, mx4j-tools.jar is not in > the classpath (kafka.utils.Mx4jLoader$) > [2016-06-07 10:24:59,230] INFO Creating /brokers/ids/1 (is it secure? false) > (kafka.utils.ZKCheckedEphemeral) > [2016-06-07 10:24:59,244] INFO Result of znode creation is: OK > (kafka.utils.ZKCheckedEphemeral) > [2016-06-07 10:24:59,245] INFO Registered broker 1 at path /brokers/ids/1 > with addresses: PLAINTEXT -> EndPoint(<public_DNS>,9092,PLAINTEXT) > (kafka.utils.ZkUtils) > [2016-06-07 10:24:59,257] INFO Kafka version : 0.9.0.1 > (org.apache.kafka.common.utils.AppInfoParser) > [2016-06-07 10:24:59,257] INFO Kafka commitId : 23c69d62a0cabf06 > (org.apache.kafka.common.utils.AppInfoParser) > [2016-06-07 10:24:59,258] INFO [Kafka Server 1], started > (kafka.server.KafkaServer) > [2016-06-07 10:24:59,648] INFO [ReplicaFetcherManager on broker 1] Removed > fetcher for partitions [<topic_name>,0] (kafka.server.ReplicaFetcherManager) > [2016-06-07 10:24:59,682] INFO [ReplicaFetcherManager on broker 1] Removed > fetcher for partitions [<topic_name>,0] (kafka.server.ReplicaFetcherManager) > > Whereas Zookeeper produced the following logs: > > [2016-06-07 10:24:47,935] INFO Server > environment:java.library.path=/usr/java/packages/lib/amd64:/usr/lib64:/lib64:/lib:/usr/lib > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,935] INFO Server environment:java.io.tmpdir=/tmp > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,935] INFO Server environment:java.compiler=<NA> > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,936] INFO Server environment:os.name > <http://os.name/>=Linux (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,936] INFO Server environment:os.arch=amd64 > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,939] INFO Server > environment:os.version=4.4.11-23.53.amzn1.x86_64 > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,939] INFO Server environment:user.name > <http://user.name/>=ec2-user (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,939] INFO Server environment:user.home=/home/ec2-user > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,939] INFO Server > environment:user.dir=/home/ec2-user/kafka_2.11-0.9.0.1 > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,946] INFO tickTime set to 3000 > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,946] INFO minSessionTimeout set to -1 > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,946] INFO maxSessionTimeout set to -1 > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:47,955] INFO binding to port 0.0.0.0/0.0.0.0:2181 > <http://0.0.0.0/0.0.0.0:2181> > (org.apache.zookeeper.server.NIOServerCnxnFactory) > [2016-06-07 10:24:58,370] INFO Accepted socket connection from > /127.0.0.1:41368 <http://127.0.0.1:41368/> > (org.apache.zookeeper.server.NIOServerCnxnFactory) > [2016-06-07 10:24:58,384] INFO Client attempting to establish new session at > /127.0.0.1:41368 <http://127.0.0.1:41368/> > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:58,389] INFO Creating new log file: log.3eb > (org.apache.zookeeper.server.persistence.FileTxnLog) > [2016-06-07 10:24:58,400] INFO Established session 0x1552a64a9a80000 with > negotiated timeout 6000 for client /127.0.0.1:41368 <http://127.0.0.1:41368/> > (org.apache.zookeeper.server.ZooKeeperServer) > [2016-06-07 10:24:59,154] INFO Got user-level KeeperException when processing > sessionid:0x1552a64a9a80000 type:delete cxid:0x26 zxid:0x3ee txntype:-1 > reqpath:n/a Error Path:/admin/preferred_replica_election > Error:KeeperErrorCode = NoNode for /admin/preferred_replica_election > (org.apache.zookeeper.server.PrepRequestProcessor) > [2016-06-07 10:24:59,231] INFO Got user-level KeeperException when processing > sessionid:0x1552a64a9a80000 type:create cxid:0x2d zxid:0x3ef txntype:-1 > reqpath:n/a Error Path:/brokers Error:KeeperErrorCode = NodeExists for > /brokers (org.apache.zookeeper.server.PrepRequestProcessor) > [2016-06-07 10:24:59,232] INFO Got user-level KeeperException when processing > sessionid:0x1552a64a9a80000 type:create cxid:0x2e zxid:0x3f0 txntype:-1 > reqpath:n/a Error Path:/brokers/ids Error:KeeperErrorCode = NodeExists for > /brokers/ids (org.apache.zookeeper.server.PrepRequestProcessor) > > Interestedly, I am able to both retrieve the messages from the specified > topic using the console Consumer and produce messages using the REST API. > > As for Kafka/Zookeeper accessibility, since this is a proof-of-concept, all > connections to the ports have been allowed. > >> On 07 Jun 2016, at 12:14, Mich Talebzadeh <mich.talebza...@gmail.com >> <mailto:mich.talebza...@gmail.com>> wrote: >> >> ok that is good >> >> Yours is basically simple streaming with Kafka (publishing topic) and your >> Spark streaming. use the following as blueprint >> >> // Create a local StreamingContext with two working thread and batch >> interval of 2 seconds. >> val sparkConf = new SparkConf(). >> setAppName("CEP_streaming"). >> setMaster("local[2]"). >> set("spark.executor.memory", "4G"). >> set("spark.cores.max", "2"). >> set("spark.streaming.concurrentJobs", "2"). >> set("spark.driver.allowMultipleContexts", "true"). >> set("spark.hadoop.validateOutputSpecs", "false") >> val ssc = new StreamingContext(sparkConf, Seconds(2)) >> ssc.checkpoint("checkpoint") >> val kafkaParams = Map[String, String]("bootstrap.servers" -> "rhes564:9092", >> "schema.registry.url" -> "http://rhes564:8081 <http://rhes564:8081/>", >> "zookeeper.connect" -> "rhes564:2181", "group.id <http://group.id/>" -> >> "CEP_streaming" ) >> val topics = Set("newtopic") >> val dstream = KafkaUtils.createDirectStream[String, String, StringDecoder, >> StringDecoder](ssc, kafkaParams, topics) >> dstream.cache() >> >> val lines = dstream.map(_._2) >> val price = lines.map(_.split(',').view(2)).map(_.toFloat) >> // window length - The duration of the window below that must be multiple of >> batch interval n in = > StreamingContext(sparkConf, Seconds(n)) >> val windowLength = 4 >> // sliding interval - The interval at which the window operation is >> performed in other words data is collected within this "previous interval' >> val slidingInterval = 2 // keep this the same as batch window for >> continuous streaming. You are aggregating data that you are collecting over >> the batch Window >> val countByValueAndWindow = price.filter(_ > >> 95.0).countByValueAndWindow(Seconds(windowLength), Seconds(slidingInterval)) >> countByValueAndWindow.print() >> // >> ssc.start() >> ssc.awaitTermination() >> >> HTH >> >> Dr Mich Talebzadeh >> >> LinkedIn >> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >> >> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw> >> >> http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> >> >> >> On 7 June 2016 at 10:58, Dominik Safaric <dominiksafa...@gmail.com >> <mailto:dominiksafa...@gmail.com>> wrote: >> Dear Mich, >> >> Thank you for the reply. >> >> By running the following command in the command line: >> >> bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic >> <topic_name> --from-beginning >> >> I do indeed retrieve all messages of a topic. >> >> Any indication onto what might cause the issue? >> >> An important note to make, I’m using the default configuration of both >> Kafka and Zookeeper. >> >>> On 07 Jun 2016, at 11:39, Mich Talebzadeh <mich.talebza...@gmail.com >>> <mailto:mich.talebza...@gmail.com>> wrote: >>> >>> I assume you zookeeper is up and running >>> >>> can you confirm that you are getting topics from kafka independently for >>> example on the command line >>> >>> ${KAFKA_HOME}/bin/kafka-console-consumer.sh --zookeeper rhes564:2181 >>> --from-beginning --topic newtopic >>> >>> >>> >>> >>> >>> Dr Mich Talebzadeh >>> >>> LinkedIn >>> https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw >>> >>> <https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw> >>> >>> http://talebzadehmich.wordpress.com <http://talebzadehmich.wordpress.com/> >>> >>> >>> On 7 June 2016 at 10:06, Dominik Safaric <dominiksafa...@gmail.com >>> <mailto:dominiksafa...@gmail.com>> wrote: >>> As I am trying to integrate Kafka into Spark, the following exception >>> occurs: >>> >>> org.apache.spark.SparkException: java.nio.channels.ClosedChannelException >>> org.apache.spark.SparkException: Couldn't find leader offsets for >>> Set([*<topicName>*,0]) >>> at >>> org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$checkErrors$1.apply(KafkaCluster.scala:366) >>> at >>> org.apache.spark.streaming.kafka.KafkaCluster$$anonfun$checkErrors$1.apply(KafkaCluster.scala:366) >>> at scala.util.Either.fold(Either.scala:97) >>> at >>> org.apache.spark.streaming.kafka.KafkaCluster$.checkErrors(KafkaCluster.scala:365) >>> at >>> org.apache.spark.streaming.kafka.KafkaUtils$.getFromOffsets(KafkaUtils.scala:222) >>> at >>> org.apache.spark.streaming.kafka.KafkaUtils$.createDirectStream(KafkaUtils.scala:484) >>> at org.mediasoft.spark.Driver$.main(Driver.scala:42) >>> at .<init>(<console>:11) >>> at .<clinit>(<console>) >>> at .<init>(<console>:7) >>> at .<clinit>(<console>) >>> at $print(<console>) >>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >>> at >>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) >>> at >>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>> at java.lang.reflect.Method.invoke(Method.java:483) >>> at >>> scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:734) >>> at >>> scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:983) >>> at >>> scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573) >>> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:604) >>> at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:568) >>> at >>> scala.tools.nsc.interpreter.ILoop.reallyInterpret$1(ILoop.scala:760) >>> at >>> scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:805) >>> at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:717) >>> at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:581) >>> at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:588) >>> at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:591) >>> at >>> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:882) >>> at >>> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837) >>> at >>> scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837) >>> at >>> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) >>> at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:837) >>> at scala.tools.nsc.interpreter.ILoop.main(ILoop.scala:904) >>> at >>> org.jetbrains.plugins.scala.compiler.rt.ConsoleRunner.main(ConsoleRunner.java:64) >>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >>> at >>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) >>> at >>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>> at java.lang.reflect.Method.invoke(Method.java:483) >>> at >>> com.intellij.rt.execution.application.AppMain.main(AppMain.java:144) >>> >>> As for the Spark configuration: >>> >>> val conf: SparkConf = new >>> SparkConf().setAppName("AppName").setMaster("local[2]") >>> >>> val confParams: Map[String, String] = Map( >>> "metadata.broker.list" -> "<IP_ADDRESS>:9092", >>> "auto.offset.reset" -> "largest" >>> ) >>> >>> val topics: Set[String] = Set("<topic_name>") >>> >>> val context: StreamingContext = new StreamingContext(conf, Seconds(1)) >>> val kafkaStream = KafkaUtils.createDirectStream(context,confParams, >>> topics) >>> >>> kafkaStream.foreachRDD(rdd => { >>> rdd.collect().foreach(println) >>> }) >>> >>> context.awaitTermination() >>> context.start() >>> >>> The Kafka topic does exist, Kafka server is up and running and I am able to >>> produce messages to that particular topic using the Confluent REST API. >>> >>> What might the problem actually be? >>> >>> >>> >>> >>> -- >>> View this message in context: >>> http://apache-spark-user-list.1001560.n3.nabble.com/Apache-Spark-Kafka-Integration-org-apache-spark-SparkException-Couldn-t-find-leader-offsets-for-Set-tp27103.html >>> >>> <http://apache-spark-user-list.1001560.n3.nabble.com/Apache-Spark-Kafka-Integration-org-apache-spark-SparkException-Couldn-t-find-leader-offsets-for-Set-tp27103.html> >>> Sent from the Apache Spark User List mailing list archive at Nabble.com >>> <http://nabble.com/>. >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>> <mailto:user-unsubscr...@spark.apache.org> >>> For additional commands, e-mail: user-h...@spark.apache.org >>> <mailto:user-h...@spark.apache.org> >>> >>> >> >> > >
