CDH下集成spark2.2.0与kafka（四十一）：在spark+kafka流处理程序中抛出错误java.lang.NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaConsumer.subscribe(Ljava/util/Collection;)V

错误信息

19/01/15 19:36:40 WARN consumer.ConsumerConfig: The configuration max.poll.records = 1 was supplied but isn't a known config.
19/01/15 19:36:40 INFO utils.AppInfoParser: Kafka version : 0.9.0-kafka-2.0.2
19/01/15 19:36:40 INFO utils.AppInfoParser: Kafka commitId : unknown
19/01/15 19:36:40 ERROR streaming.StreamExecution: Query queryMyBatchTopicData [id = 25b0620e-20b5-4efe-babb-dda94ef3ccc6, runId = 013d0674-23f7-4ebe-a5fb-84c8699ea1b9] terminated with error
java.lang.NoSuchMethodError: org.apache.kafka.clients.consumer.KafkaConsumer.subscribe(Ljava/util/Collection;)V
        at org.apache.spark.sql.kafka010.SubscribeStrategy.createConsumer(ConsumerStrategy.scala:63)
        at org.apache.spark.sql.kafka010.KafkaOffsetReader.createConsumer(KafkaOffsetReader.scala:297)
        at org.apache.spark.sql.kafka010.KafkaOffsetReader.<init>(KafkaOffsetReader.scala:78)
        at org.apache.spark.sql.kafka010.KafkaSourceProvider.createSource(KafkaSourceProvider.scala:88)
        at org.apache.spark.sql.execution.datasources.DataSource.createSource(DataSource.scala:243)
        at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2$$anonfun$applyOrElse$1.apply(StreamExecution.scala:158)
        at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2$$anonfun$applyOrElse$1.apply(StreamExecution.scala:155)
        at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:194)
        at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:80)
        at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2.applyOrElse(StreamExecution.scala:155)
        at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$2.applyOrElse(StreamExecution.scala:153)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$2.apply(TreeNode.scala:267)
        at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:70)
        at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:266)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$transformDown$1.apply(TreeNode.scala:272)
        at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$4.apply(TreeNode.scala:306)
        at org.apache.spark.sql.catalyst.trees.TreeNode.mapProductIterator(TreeNode.scala:187)

原因分析

其实这个在官方文档中有介绍。地址如下：https://www.cloudera.com/documentation/spark2/latest/topics/spark2_kafka.html#running_jobs

方案一：错误信息中可以看出kafka的版本：Kafka version : 0.9.0-kafka-2.0.2，而我在pom.xml中应用的jar是0.10，因此导致包不一致。直接修改pom.xml对应jar版本号即可。

# Set the environment variable for the duration of your shell session:
export SPARK_KAFKA_VERSION=0.10
spark-submit arguments
 
# Or:
 
# Set the environment variable for the duration of a single command:
SPARK_KAFKA_VERSION=0.10 spark-submit arguments

方案二：就是kafka集成spark2，需要在CDH中进行设置。进入CDH的spark2配置界面，在搜索框中输入SPARK_KAFKA_VERSION，出现如下图，然后选择对应版本，这里我应该选择的是0.10，然后保存配置，重启生效。重新跑sparkstreaming任务，问题解决。