Мое задание зажигания работает нормально при отправке в локальный кластер искр ( spark-2.3.1-bin-hadoop2.7 ). Но я получил несколько ошибок при отправке его в кластер spark ( spark-2.3.1-bin-hadoop3.0.0 ) на кластере k8s в openstack.
В начале я получил Exception in thread "main" org.apache.kafka.common.config.ConfigException: Missing required configuration "partition.assignment.strategy" which has no default value..
Итак, я добавил следующую конфигурацию:
"partition.assignment.strategy" -> "org.apache.kafka.clients.consumer.RangeAssignor",
Теперь я получил ошибку:
Exception in thread "streaming-start" java.lang.NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaConsumer.assign(Ljava/util/Collection;)V
at org.apache.spark.streaming.kafka010.Assign.onStart(ConsumerStrategy.scala:193)
at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:70)
at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:240)
at org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
at org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
at scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach_quick(ParArray.scala:143)
at scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach(ParArray.scala:136)
at scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:972)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:49)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
at scala.collection.parallel.Task$class.tryLeaf(Tasks.scala:51)
at scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:969)
at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.compute(Tasks.scala:152)
at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:443)
at scala.concurrent.forkjoin.RecursiveAction.exec(RecursiveAction.java:160)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
19/01/02 22:32:43 INFO ContextHandler: Started o.s.j.s.ServletContextHandler@3e8799f{/streaming,null,AVAILABLE,@Spark}
19/01/02 22:32:43 INFO ContextHandler: Started o.s.j.s.ServletContextHandler@3b353651{/streaming/json,null,AVAILABLE,@Spark}
19/01/02 22:32:43 INFO ContextHandler: Started o.s.j.s.ServletContextHandler@53d9826f{/streaming/batch,null,AVAILABLE,@Spark}
19/01/02 22:32:43 INFO ContextHandler: Started o.s.j.s.ServletContextHandler@1e84f3c8{/streaming/batch/json,null,AVAILABLE,@Spark}
19/01/02 22:32:43 INFO ContextHandler: Started o.s.j.s.ServletContextHandler@64f9f455{/static/streaming,null,AVAILABLE,@Spark}
19/01/02 22:32:43 INFO StreamingContext: StreamingContext started
19/01/02 22:32:43 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (10.233.88.4:51780) with ID 0
19/01/02 22:32:43 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (10.233.86.5:55632) with ID 1
19/01/02 22:32:43 INFO BlockManagerMasterEndpoint: Registering block manager 10.233.88.4:37243 with 366.3 MB RAM, BlockManagerId(0, 10.233.88.4, 37243, None)
19/01/02 22:32:43 INFO BlockManagerMasterEndpoint: Registering block manager 10.233.86.5:36954 with 366.3 MB RAM, BlockManagerId(1, 10.233.86.5, 36954, None)
19/01/02 22:32:44 INFO CoarseGrainedSchedulerBackend$DriverEndpoint: Registered executor NettyRpcEndpointRef(spark-client://Executor) (10.233.96.4:36610) with ID 2
19/01/02 22:32:44 INFO BlockManagerMasterEndpoint: Registering block manager 10.233.96.4:33930 with 366.3 MB RAM, BlockManagerId(2, 10.233.96.4, 33930, None)
и моя искровая работа висит здесь.
my pom.xml:
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.poc</groupId>
<artifactId>spark-streaming</artifactId>
<packaging>jar</packaging>
<version>1.0-SNAPSHOT</version>
<name>spark-streaming</name>
<url>http://maven.apache.org</url>
<properties>
<java.version>1.8</java.version>
<scala.version>2.11.8</scala.version>
<scala.compactVersion>2.11</scala.compactVersion>
<spark.version>2.3.1</spark.version>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_${scala.compactVersion}</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_${scala.compactVersion}</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_${scala.compactVersion}</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>0.10.0.0-SASL</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka-0-10_${scala.compactVersion}</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql-kafka-0-10_${scala.compactVersion}</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_${scala.compactVersion}</artifactId>
<version>0.10.0.0</version>
</dependency>
<dependency>
<groupId>org.rogach</groupId>
<artifactId>scallop_${scala.compactVersion}</artifactId>
<version>2.1.2</version>
</dependency>
</dependencies>
<pluginRepositories>
</pluginRepositories>
<build>
<sourceDirectory>src/main/scala</sourceDirectory>
<plugins>
<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
<configuration>
<archive>
<manifest>
<mainClass>com.poc.Job</mainClass>
</manifest>
</archive>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
</configuration>
</plugin>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.2.0</version>
<executions>
<execution>
<id>scala-compile</id>
<goals>
<goal>compile</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
Любые намеки приветствуются. Спасибо