SparkException cause by java.lang.NoClassDefFoundError: org/apache/htrace/core/HTraceConfiguration

huangapple go评论140阅读模式
英文:

SparkException cause by java.lang.NoClassDefFoundError: org/apache/htrace/core/HTraceConfiguration

问题

似乎在JAR包中找不到HTraceConfiguration类,但我在JAR包中找到了这个类。

jar ftv app.jar  | grep HTraceConfiguration

2814 Tue Jul 10 17:26:52 CST 2018 org/apache/hadoop/hbase/trace/HBaseHTraceConfiguration.class
1202 Thu Sep 15 10:07:46 CST 2016 org/apache/htrace/core/HTraceConfiguration$MapConf.class
3249 Thu Sep 15 10:07:46 CST 2016 org/apache/htrace/core/HTraceConfiguration.class

但是,为什么在执行任务时抛出了NoClassDefFoundError?

以下是异常堆栈跟踪信息

Caused by: org.apache.spark.SparkException: 由于阶段失败而中止作业:阶段 119.0 中的任务 31 失败了 4 次,最近一次失败:阶段 119.0 中的任务 31.3 失败(TID 1024)(172.20.2.15 执行器 2):org.apache.hadoop.hbase.client.RetriesExhaustedWithDetailsException:失败了 1 次动作:java.lang.NoClassDefFoundError:org/apache/htrace/core/HTraceConfiguration:问题服务器 1 次,服务器问题:null
	at org.apache.hadoop.hbase.client.BatchErrors.makeException(BatchErrors.java:50)
	at org.apache.hadoop.hbase.client.AsyncRequestFutureImpl.getErrors(AsyncRequestFutureImpl.java:1195)
	at org.apache.hadoop.hbase.client.BufferedMutatorImpl.doFlush(BufferedMutatorImpl.java:298)
	at org.apache.hadoop.hbase.client.BufferedMutatorImpl.flush(BufferedMutatorImpl.java:270)
	at org.apache.hadoop.hbase.spark.HBaseContext.hbaseForeachPartition(HBaseContext.scala:481)
	at org.apache.hadoop.hbase.spark.HBaseContext.$anonfun$bulkPut$1$adapted(HBaseContext.scala:221)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1011)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1011)
	at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2278)
	at org.apache.spark.scheduler.Task.run(Task.scala:136)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2672)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2608)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2607)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2607)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1182)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1182)
	at scala.Option.foreach(Option.scala:407)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1182)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:952)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2238)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:406)
	at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:1009)
	at org.apache.hadoop.hbase.spark.HBaseContext.bulkPut(HBaseContext.scala:221)
	at org.apache.hadoop.hbase.spark.HBaseRDDFunctions$GenericHBaseRDDFunctions.hbaseBulkPut(HBaseRDDFunctions.scala:60)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)

	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)

你能告诉我发生了什么吗?

英文:

It seems no class HTraceConfiguration found in jar package. But, I do found this class in jar package.

jar ftv app.jar  | grep HTraceConfiguration

2814 Tue Jul 10 17:26:52 CST 2018 org/apache/hadoop/hbase/trace/HBaseHTraceConfiguration.class
1202 Thu Sep 15 10:07:46 CST 2016 org/apache/htrace/core/HTraceConfiguration$MapConf.class
3249 Thu Sep 15 10:07:46 CST 2016 org/apache/htrace/core/HTraceConfiguration.class

But, why NoClassDefFoundError thrown while exec task?

Here is exception stack trace

aused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 31 in stage 119.0 failed 4 times, most recent failure: Lost task 31.3 in stage 119.0 (TID 1024) (172.20.2.15 executor 2): org.apache.hadoop.hbase.client.RetriesExhaustedWithDetailsException: Failed 1 action: java.lang.NoClassDefFoundError: org/apache/htrace/core/HTraceConfiguration: 1 time, servers with issues: null
	at org.apache.hadoop.hbase.client.BatchErrors.makeException(BatchErrors.java:50)
	at org.apache.hadoop.hbase.client.AsyncRequestFutureImpl.getErrors(AsyncRequestFutureImpl.java:1195)
	at org.apache.hadoop.hbase.client.BufferedMutatorImpl.doFlush(BufferedMutatorImpl.java:298)
	at org.apache.hadoop.hbase.client.BufferedMutatorImpl.flush(BufferedMutatorImpl.java:270)
	at org.apache.hadoop.hbase.spark.HBaseContext.hbaseForeachPartition(HBaseContext.scala:481)
	at org.apache.hadoop.hbase.spark.HBaseContext.$anonfun$bulkPut$1$adapted(HBaseContext.scala:221)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2(RDD.scala:1011)
	at org.apache.spark.rdd.RDD.$anonfun$foreachPartition$2$adapted(RDD.scala:1011)
	at org.apache.spark.SparkContext.$anonfun$runJob$5(SparkContext.scala:2278)
	at org.apache.spark.scheduler.Task.run(Task.scala:136)
	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548)
	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
	at java.lang.Thread.run(Thread.java:748)

Driver stacktrace:
	at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2672)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2608)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2607)
	at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2607)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1182)
	at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1182)
	at scala.Option.foreach(Option.scala:407)
	at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1182)
	at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:952)
	at org.apache.spark.SparkContext.runJob(SparkContext.scala:2238)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:406)
	at org.apache.spark.rdd.RDD.foreachPartition(RDD.scala:1009)
	at org.apache.hadoop.hbase.spark.HBaseContext.bulkPut(HBaseContext.scala:221)
	at org.apache.hadoop.hbase.spark.HBaseRDDFunctions$GenericHBaseRDDFunctions.hbaseBulkPut(HBaseRDDFunctions.scala:60)
	at scala.collection.Iterator.foreach(Iterator.scala:943)
	at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:56)

	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)

Could you tell me, what happened?

答案1

得分: 1

如果您使用 spark-submit 启动作业,请添加 --jars 参数,并提供您的 JAR 文件的路径。它将被添加到执行器的类路径中。

英文:

If you start your job with spark-submit, add --jars parameter with the path to your jar. It will be added to the executor's classpath.

huangapple
  • 本文由 发表于 2023年6月13日 13:03:13
  • 转载请务必保留本文链接:https://go.coder-hub.com/76461816.html
匿名

发表评论

匿名网友

:?: :razz: :sad: :evil: :!: :smile: :oops: :grin: :eek: :shock: :???: :cool: :lol: :mad: :twisted: :roll: :wink: :idea: :arrow: :neutral: :cry: :mrgreen:

确定