java.lang.reflect.InvocationTargetException at shade.com.datastax.spark.connector.google.common.base.Throwables.propagate(Throwables.java160)
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 29.1 failed 4 times, most recent failure: Lost task 1.3 in stage 29.1 (TID 466, magnesium, executor 4): java.lang.RuntimeException: java.lang.reflect.InvocationTargetException
at shade.com.datastax.spark.connector.google.common.base.Throwables.propagate(Throwables.java:160)
at com.datastax.driver.core.NettyUtil.newEventLoopGroupInstance(NettyUtil.java:136)
at com.datastax.driver.core.NettyOptions.eventLoopGroup(NettyOptions.java:99)
at com.datastax.driver.core.Connection$Factory.
at com.datastax.driver.core.Cluster$Manager.init(Cluster.java:1410)
at com.datastax.driver.core.Cluster.init(Cluster.java:159)
at com.datastax.driver.core.Cluster.connectAsync(Cluster.java:330)
at com.datastax.driver.core.Cluster.connect(Cluster.java:280)
at StreamingIntegrationKafkaBac$$anonfun$main$1$$anonfun$apply$1.apply(StreamingIntegrationKafkaBac.scala:155)
at StreamingIntegrationKafkaBac$$anonfun$main$1$$anonfun$apply$1.apply(StreamingIntegrationKafkaBac.scala:144)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:935)
at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$29.apply(RDD.scala:935)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2074)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
我是在SparkStreaming查询Cassandra时遇到这个报错的。
dataFrame.foreachPartition { part =>
val poolingOptions = new PoolingOptions
poolingOptions
.setCoreConnectionsPerHost(HostDistance.LOCAL, 4)
.setMaxConnectionsPerHost(HostDistance.LOCAL, 10)
val cluster = Cluster
.builder
.addContactPoints("localhost")
.withCredentials("cassandra", "cassandra")
.withPoolingOptions(poolingOptions)
.build
val session = cluster.connect("keyspace")
part.foreach { item =>
// 业务逻辑
}
cluster.close()
session.close()
}
每个批次中,首先检查cluster和session,是否都close,没有close会报这个错误。
若还没有解决,需要检查netty的版本。
推荐在IDEA中安装Maven Helper插件。然后把冲突的低版本netty相关的依赖删掉即可。