Asif M created SPARK-24493:
------------------------------
Summary: Kerberos Ticket Renewal is failing in long running Spark
job
Key: SPARK-24493
URL: https://issues.apache.org/jira/browse/SPARK-24493
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.3.0
Reporter: Asif M
Kerberos Ticket Renewal is failing on long running spark job. I have added
below 2 kerberos properties in the HDFS configuration and ran a spark streaming
job
([hdfs_wordcount.py|https://github.com/apache/spark/blob/master/examples/src/main/python/streaming/hdfs_wordcount.py])
{noformat}
dfs.namenode.delegation.token.max-lifetime=1800000 (30min)
dfs.namenode.delegation.token.renew-interval=900000 (15min)
{noformat}
Spark Job failed at 15min with below error:
{noformat}
18/06/04 18:56:51 INFO DAGScheduler: ShuffleMapStage 10896 (call at
/usr/hdp/current/spark2-client/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py:2381)
failed in 0.218 s due to Job aborted due to stage failure: Task 0 in stage
10896.0 failed 4 times, most recent failure: Lost task 0.3 in stage 10896.0
(TID 7290, <GatewayNodeHostname>, executor 1):
org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
token (token for abcd: HDFS_DELEGATION_TOKEN [email protected],
renewer=yarn, realUser=, issueDate=1528136773875, maxDate=1528138573875,
sequenceNumber=38, masterKeyId=6) is expired, current time: 2018-06-04
18:56:51,276+0000 expected renewal time: 2018-06-04 18:56:13,875+0000
at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1499)
at org.apache.hadoop.ipc.Client.call(Client.java:1445)
at org.apache.hadoop.ipc.Client.call(Client.java:1355)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:228)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116)
at com.sun.proxy.$Proxy18.getBlockLocations(Unknown Source)
at
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getBlockLocations(ClientNamenodeProtocolTranslatorPB.java:317)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
at
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
at
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
at
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359)
at com.sun.proxy.$Proxy19.getBlockLocations(Unknown Source)
at org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:856)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:845)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:834)
at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java:998)
at
org.apache.hadoop.hdfs.DistributedFileSystem$4.doCall(DistributedFileSystem.java:326)
at
org.apache.hadoop.hdfs.DistributedFileSystem$4.doCall(DistributedFileSystem.java:322)
at
org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at
org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java:334)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:950)
at
org.apache.hadoop.mapreduce.lib.input.LineRecordReader.initialize(LineRecordReader.java:86)
at
org.apache.spark.rdd.NewHadoopRDD$$anon$1.liftedTree1$1(NewHadoopRDD.scala:189)
at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:186)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:141)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:70)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:64)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:99)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
{noformat}
*Steps to Reproduce:*
# Add {{dfs.namenode.delegation.token.max-lifetime}} and
{{dfs.namenode.delegation.token.renew-interval}} properties in the HDFS config
and restart the affected services.
# Run spark streaming job on gateway node of the cluster in one terminal tab
{noformat}
/bin/spark-submit --master yarn --principal <SPN> --keytab <Keytab File Full
Path> hdfs_wordcount.py "/tmp/streaming_input" 2>&1 | tee driver.log{noformat}
After 15min the spark application is terminated with the above mentioned error.
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