我有一个CDH 5.8.4的集群。我正在运行一个火花流应用程序，它使用cloudera spark-hbase连接器即HBaseContext从/向HBase读取和写入数据。 当我启动应用程序时，我将主体和kinit提供给spark-submit脚本。 我看到7天后，应用程序因与HBase上下文相关的票证kerberos到期而出现错误而崩溃。这是执行程序日志中的错误：
ERROR executor.Executor: Exception in task 0.0 in stage 544265.0 (TID 1149098)
org.apache.hadoop.hbase.client.RetriesExhaustedException: Can't get the location
at org.apache.hadoop.hbase.client.RpcRetryingCallerWithReadReplicas.getRegionLocations(RpcRetryingCallerWithReadReplicas.java
:326)
at org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:157)
at org.apache.hadoop.hbase.client.ScannerCallableWithReplicas.call(ScannerCallableWithReplicas.java:61)
at org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithoutRetries(RpcRetryingCaller.java:200)
at org.apache.hadoop.hbase.client.ClientScanner.call(ClientScanner.java:320)
at org.apache.hadoop.hbase.client.ClientScanner.nextScanner(ClientScanner.java:295)
at org.apache.hadoop.hbase.client.ClientScanner.initializeScannerInConstruction(ClientScanner.java:160)
at org.apache.hadoop.hbase.client.ClientScanner.<init>(ClientScanner.java:155)
at org.apache.hadoop.hbase.client.HTable.getScanner(HTable.java:867)
at org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl.restart(TableRecordReaderImpl.java:91)
at org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl.initialize(TableRecordReaderImpl.java:169)
at org.apache.hadoop.hbase.mapreduce.TableRecordReader.initialize(TableRecordReader.java:134)
at org.apache.hadoop.hbase.mapreduce.TableInputFormatBase$1.initialize(TableInputFormatBase.java:211)
at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:164)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:129)
at org.apache.hadoop.hbase.spark.NewHBaseRDD.compute(NewHBaseRDD.scala:34)
at org.apache.hadoop.hbase.spark.NewHBaseRDD.compute(NewHBaseRDD.scala:25)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
at org.apache.spark.scheduler.Task.run(Task.scala:89)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: org.apache.hadoop.security.token.SecretManager$InvalidToken: Token has expired
at sun.reflect.GeneratedConstructorAccessor58.newInstance(Unknown Source)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:106)
at org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:95)
at org.apache.hadoop.hbase.protobuf.ProtobufUtil.getRemoteException(ProtobufUtil.java:327)
at org.apache.hadoop.hbase.protobuf.ProtobufUtil.getRowOrBefore(ProtobufUtil.java:1593)
at org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.locateRegionInMeta(ConnectionManager.java:1398)
at org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.locateRegion(ConnectionManager.java:1199)
at org.apache.hadoop.hbase.client.RpcRetryingCallerWithReadReplicas.getRegionLocations(RpcRetryingCallerWithReadReplicas.java:315)
... 30 more
Caused by: org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken): Token has expired
at org.apache.hadoop.hbase.security.HBaseSaslRpcClient.readStatus(HBaseSaslRpcClient.java:155)
at org.apache.hadoop.hbase.security.HBaseSaslRpcClient.saslConnect(HBaseSaslRpcClient.java:222)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.setupSaslConnection(RpcClientImpl.java:617)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.access$700(RpcClientImpl.java:162)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection$2.run(RpcClientImpl.java:743)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection$2.run(RpcClientImpl.java:740)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1783)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.setupIOstreams(RpcClientImpl.java:740)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.writeRequest(RpcClientImpl.java:906)
at org.apache.hadoop.hbase.ipc.RpcClientImpl$Connection.tracedWriteRequest(RpcClientImpl.java:873)
at org.apache.hadoop.hbase.ipc.RpcClientImpl.call(RpcClientImpl.java:1242)
at org.apache.hadoop.hbase.ipc.AbstractRpcClient.callBlockingMethod(AbstractRpcClient.java:227)
at org.apache.hadoop.hbase.ipc.AbstractRpcClient$BlockingRpcChannelImplementation.callBlockingMethod(AbstractRpcClient.java:336)
at org.apache.hadoop.hbase.protobuf.generated.ClientProtos$ClientService$BlockingStub.get(ClientProtos.java:34070)
at org.apache.hadoop.hbase.protobuf.ProtobufUtil.getRowOrBefore(ProtobufUtil.java:1589)
有谁知道如何解决这个问题？ 提前致谢， 亚塔
答案 0 :(得分：2)
我们（Splice Machine）与客户有同样的问题。我们的问题是由https://issues.apache.org/jira/browse/SPARK-12646引起的。我们写了一些代码来修复_HOST问题，我们也升级到Spark 2.2来解决这个问题。
答案 1 :(得分：0)
您不应依赖外部票证缓存来进行分布式作业。最好的解决方案是将密钥表与您的应用程序一起提供，或者依赖于在您的Spark任务可能执行的所有节点上部署的密钥表。
UserGroupInformation.loginUserFromKeytab("name@xyz.com", keyTab);
connection=ConnectionFactory.createConnection(conf);
使用上述方法，获取UserGroupInformation实例后，您需要执行以下操作：
ugi.doAs(new PrivilegedAction<Void>() {
public Void run() {
connection = ConnectionFactory.createConnection(conf);
...
return null;
}
});