Spark IDEA本地提交到集群运行job

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原创最新推荐文章于 2026-05-11 11:57:05 发布 632 阅读 AI 写同款· GEO 优化 ›

spark常见问题写文章只是为了学习总结或者工作内容备忘，不保证及时性和准确性，看到的权当个参考哈！ 1. 执行Broadcast大表时，等待超时异常（awaitResult）现象：org.apache.spark.SparkException: Exception thrown in awaitResult: java.util.concurrent.TimeoutException: Futures ... 阅读详情

场景:运行IDEA本地测试代码,实现提交job到本地虚拟机Spark集群环境运行

前提:本地宿主机和虚拟机网路互通

def main(args: Array[String]): Unit = {
  val sparkSession = SparkSession.builder
   .master("spark://hostname:7077")
   .appName("countByKey")
   .config("spark.jars", "D:\\xxxx\\sparkdemo-1.0.jar")
   //指定当前提交任务的Driver端ip
   .config("spark.driver.host", "宿主机的ip地址")
   .getOrCreate()
  val sc = sparkSession.sparkContext
  val rdd2: RDD[(String, Int)] = sc.parallelize(List(
   ("zhangsan", 18),
   ("zhangsan", 19),
   ("lisi", 20),
   ("lisi", 20),
   ("wangwu", 18)
  ), 1)
  val countbykey: collection.Map[String, Long] = rdd2.countByKey()
  println("countbykey = " + countbykey)
  sc.stop()
 }

错误一

20/04/03 21:25:45 WARN StandaloneAppClient$ClientEndpoint: Failed to connect to master bigdata131:7077
org.apache.spark.SparkException: Exception thrown in awaitResult: 
	at org.apache.spark.util.ThreadUtils$.awaitResult(ThreadUtils.scala:205)
	at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:75)
	at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:100)
	at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:108)
	at org.apache.spark.deploy.client.StandaloneAppClient$ClientEndpoint$$anonfun$tryRegisterAllMasters$1$$anon$1.run(StandaloneAppClient.scala:106)
	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.RuntimeException: java.io.StreamCorruptedException: invalid stream header: 01000D31

原因:项目代码使用的spark版本和spark集群版本不一致

将pom.xml文件中的 <spark.version>2.1.0</spark.version>改为2.1.0即可

错误二

20/04/03 21:36:20 WARN TaskSchedulerImpl: Initial job has not accepted any resources; 
check your cluster UI to ensure that workers are registered and have sufficient resources

原因:由于网络环境导致job运行过程中无法找到正确Driver端的ip地址

.config("spark.driver.host", "宿主机的ip地址")通过手动指定driver.host,端口使用默认的即可

错误三

Caused by: java.lang.ClassNotFoundException: test.xf.cn.SQLContextTest2$$anonfun$1
	at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
	at java.lang.Class.forName0(Native Method)
	at java.lang.Class.forName(Class.java:348)
	at org.apache.spark.serializer.JavaDeserializationStream$$anon$1.resolveClass(JavaSerializer.scala:67)

添加.config("spark.jars", "D:\\xxxx\\sparkdemo-1.0.jar") 当前项目编译打包后的jar包路径配置即可

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