标签:exception serial fail ring init dtree duti eal tor
ERROR [main] [org.apache.spark.streaming.StreamingContext] - Error starting the context, marking it as stopped org.apache.kafka.common.KafkaException: Failed to construct kafka consumer at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:702) at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:557) at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:540) at org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:84) at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:72) at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:242) 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) at ... run in separate thread using org.apache.spark.util.ThreadUtils ... () at org.apache.spark.streaming.StreamingContext.liftedTree1$1(StreamingContext.scala:578) at org.apache.spark.streaming.StreamingContext.start(StreamingContext.scala:572) at com.bw.streaming.day03.Spa1$.main(Spa1.scala:95) at com.bw.streaming.day03.Spa1.main(Spa1.scala) Caused by: org.apache.kafka.common.KafkaException: org.codehaus.jackson.map.deser.std.StringDeserializer is not an instance of org.apache.kafka.common.serialization.Deserializer at org.apache.kafka.common.config.AbstractConfig.getConfiguredInstance(AbstractConfig.java:203) at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:663) at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:557) at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:540) at org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:84) at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:72)
我做的是 Streaming拉取kafka的直连方式 案例
错误原因是我包引入错误
你们好好检查一下
标签:exception serial fail ring init dtree duti eal tor
原文地址:https://www.cnblogs.com/JBLi/p/11371335.html