Dear colleagues,

We have installed a Cloudera kerberized cluster, version 5.11. We have enabled 
Sentry, in order to ensure autorization for Hive, Impala, Solr, etc. However, 
since then, we see downtimes in the Hive Metastore, apparently because of the 
connection with the Sentry server. This is the stacktrace of the metastore:

2017-05-31 12:10:15,539 ERROR 
org.apache.hadoop.hive.metastore.RetryingHMSHandler: [pool-5-thread-50]: 
MetaException(message:Failed to connect to Sentry service null)
        at 
org.apache.sentry.binding.metastore.SentryMetastorePostEventListener.getSentryServiceClient(SentryMetastorePostEventListener.java:308)
        at 
org.apache.sentry.binding.metastore.SentryMetastorePostEventListener.dropSentryPrivileges(SentryMetastorePostEventListener.java:351)
        at 
org.apache.sentry.binding.metastore.SentryMetastorePostEventListener.dropSentryDbPrivileges(SentryMetastorePostEventListener.java:318)
        at 
org.apache.sentry.binding.metastore.SentryMetastorePostEventListener.onDropDatabase(SentryMetastorePostEventListener.java:199)
        at 
org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.drop_database_core(HiveMetaStore.java:1180)
        at 
org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.drop_database(HiveMetaStore.java:1212)
        at sun.reflect.GeneratedMethodAccessor62.invoke(Unknown Source)
        at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at 
org.apache.hadoop.hive.metastore.RetryingHMSHandler.invokeInternal(RetryingHMSHandler.java:140)
        at 
org.apache.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:99)
        at com.sun.proxy.$Proxy14.drop_database(Unknown Source)
        at 
org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Processor$drop_database.getResult(ThriftHiveMetastore.java:9005)
        at 
org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Processor$drop_database.getResult(ThriftHiveMetastore.java:8989)
        at org.apache.thrift.ProcessFunction.process(ProcessFunction.java:39)
        at org.apache.thrift.TBaseProcessor.process(TBaseProcessor.java:39)
        at 
org.apache.hadoop.hive.thrift.HadoopThriftAuthBridge$Server$TUGIAssumingProcessor$1.run(HadoopThriftAuthBridge.java:735)
        at 
org.apache.hadoop.hive.thrift.HadoopThriftAuthBridge$Server$TUGIAssumingProcessor$1.run(HadoopThriftAuthBridge.java:730)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:415)
        at 
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1920)
        at 
org.apache.hadoop.hive.thrift.HadoopThriftAuthBridge$Server$TUGIAssumingProcessor.process(HadoopThriftAuthBridge.java:730)
        at 
org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:286)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
        at java.lang.Thread.run(Thread.java:745)

On the other hand, before the metastore goes down, Sentry starts to throw this 
warning:

2017-05-31 12:26:35,619 WARN org.apache.thrift.server.TThreadPoolServer: Task 
has been rejected by ExecutorService 10 times till timedout, reason: 
java.util.concurrent.RejectedExecutionException: Task 
org.apache.thrift.server.TThreadPoolServer$WorkerProcess@2e97d63b<mailto:org.apache.thrift.server.TThreadPoolServer$WorkerProcess@2e97d63b>
 rejected from 
java.util.concurrent.ThreadPoolExecutor@5c1d81c7[Running<mailto:java.util.concurrent.ThreadPoolExecutor@5c1d81c7[Running>,
 pool size = 500, active threads = 500, queued tasks = 0, completed tasks = 
1107]

It seems that there are too many open connections to Sentry. May this be that 
some client is not closing them?
How can we overcome this error? We can't use the cluster given these 
downtimes....

Regards,

Diego


Diego Fustes Villadóniga, Arquitecto Big Data, CCIM

Reply via email to