How to set User/Group permission with Hadoop/Kerberos Setup? - hadoop

I am trying to setup Hadoop with Kerberos
I am following the CDH3 Security Guide.
Things went pretty well so far (HFDS works ok etc), but I am getting the following error when I try to submit the Job.
I run HDFS server as user HDFS and Hadoop as user called mapred. I Submit the job using user called bob, who is in mapred group.
Following are values I have for taskcontroller.cfg
mapred.local.dir=/opt/hadoop-work/local/
hadoop.log.dir=/opt/hadoop-1.0.3/logs
mapreduce.tasktracker.group=mapred
min.user.id=1000
Error I am getting is
java.io.IOException: Job initialization failed (24) with output: Reading task controller config from /etc/hadoop/taskcontroller.cfg
Can't get group information for mapred - Success.
at org.apache.hadoop.mapred.LinuxTaskController.initializeJob(LinuxTaskController.java:192)
at org.apache.hadoop.mapred.TaskTracker$4.run(TaskTracker.java:1228)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1121)
at org.apache.hadoop.mapred.TaskTracker.initializeJob(TaskTracker.java:1203)
at org.apache.hadoop.mapred.TaskTracker.localizeJob(TaskTracker.java:1118)
at org.apache.hadoop.mapred.TaskTracker$5.run(TaskTracker.java:2430)
at java.lang.Thread.run(Thread.java:662)
Caused by: org.apache.hadoop.util.Shell$ExitCodeException:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:255)
at org.apache.hadoop.util.Shell.run(Shell.java:182)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:375)
at org.apache.hadoop.mapred.LinuxTaskController.initializeJob(LinuxTaskController.java:185)
... 8 more
Error always comes with value given to "mapreduce.tasktracker.group=mapred" in the taskcontroller.cfg.
I have been debugging and looking in, and I think the problem is I have setup the permission among different users and groups wrong.
Any help is greatly appreciated.

Related

Hive does not start: Error creating path /hive/cluster/delegation/METASTORE/keys

I ran into a problem on a kerberized cluster where hive would not start.
Symptoms:
Services start succesfully (and did not stop)
In Ambari an alert appeared which mentioned that the Hive metastore failed
Starting hive on the command line did not succeed (it just kept hanging)
Via beeline I was able to see metadata, but not get actual data
I found the following error in /var/log/hive/hivemetastore.log
2016-08-29 10:12:49,047 ERROR [main]: metastore.HiveMetaStore (HiveMetaStore.java:main(5934)) - Metastore Thrift Server threw an exception...
org.apache.hadoop.hive.thrift.DelegationTokenStore$TokenStoreException: Error creating path /hive/cluster/delegation/METASTORE/keys
at org.apache.hadoop.hive.thrift.ZooKeeperTokenStore.ensurePath(ZooKeeperTokenStore.java:166)
at org.apache.hadoop.hive.thrift.ZooKeeperTokenStore.initClientAndPaths(ZooKeeperTokenStore.java:236)
at org.apache.hadoop.hive.thrift.ZooKeeperTokenStore.init(ZooKeeperTokenStore.java:469)
at org.apache.hadoop.hive.thrift.HadoopThriftAuthBridge$Server.startDelegationTokenSecretManager(HadoopThriftAuthBridge.java:444)
at org.apache.hadoop.hive.metastore.HiveMetaStore.startMetaStore(HiveMetaStore.java:6015)
at org.apache.hadoop.hive.metastore.HiveMetaStore.main(HiveMetaStore.java:5930)
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.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: org.apache.zookeeper.KeeperException$AuthFailedException: KeeperErrorCode = AuthFailed for /hive/cluster/delegation/METASTORE/keys
at org.apache.zookeeper.KeeperException.create(KeeperException.java:123)
at org.apache.zookeeper.KeeperException.create(KeeperException.java:51)
at org.apache.zookeeper.ZooKeeper.create(ZooKeeper.java:783)
at org.apache.curator.framework.imps.CreateBuilderImpl$11.call(CreateBuilderImpl.java:691)
at org.apache.curator.framework.imps.CreateBuilderImpl$11.call(CreateBuilderImpl.java:675)
at org.apache.curator.RetryLoop.callWithRetry(RetryLoop.java:107)
at org.apache.curator.framework.imps.CreateBuilderImpl.pathInForeground(CreateBuilderImpl.java:672)
at org.apache.curator.framework.imps.CreateBuilderImpl.protectedPathInForeground(CreateBuilderImpl.java:453)
at org.apache.curator.framework.imps.CreateBuilderImpl.forPath(CreateBuilderImpl.java:443)
at org.apache.curator.framework.imps.CreateBuilderImpl.forPath(CreateBuilderImpl.java:423)
at org.apache.curator.framework.imps.CreateBuilderImpl$3.forPath(CreateBuilderImpl.java:257)
at org.apache.curator.framework.imps.CreateBuilderImpl$3.forPath(CreateBuilderImpl.java:205)
at org.apache.hadoop.hive.thrift.ZooKeeperTokenStore.ensurePath(ZooKeeperTokenStore.java:160)
... 11 more
Note that I actually tried several things, so I am not sure whether this is the full solution, but here is the final step, which I believe to be the critical one:
After a long search I indirectly found this site: https://community.hortonworks.com/articles/49040/hive-metastore-crashes-on-nullpointerexception-wit.html
Here is the relevant fragment that helped me resolve the issue:
This is a known issue being tracked in the following Hortonworks bug:
https://hortonworks.jira.com/browse/BUG-42602
WORKAROUND:
Set the hive.cluster.delegation.token.store.class to the following:
hive.cluster.delegation.token.store.class=org.apache.hadoop.hive.thrift.DBTokenStore
If using Ambari, this setting can be changed by clicking on the Hive
service on the Ambari Dashboard, navigating to the "Configs" tab, and
modifying the parameter in the "Advanced Hive-site" section of the
Hive configs. Save the changes and restart Hive from the Ambari User
Interface when prompted.
If not using ambari, this setting can be located in the
/etc/hive/conf/hive-site.xml file. Make sure this change is made on
all applicable nodes on the cluster. Once the changes are made, the
Hive services must be restarted.

Sqoop Export Oozie Workflow Fails with File Not Found, Works when ran from the console

I have a hadoop cluster with 6 nodes. I'm pulling data out of MSSQL and back into MSSQL via Sqoop. Sqoop import commands work fine, and I can run a sqoop export command from the console (on one of the hadoop nodes). Here's the shell script I run:
SQLHOST=sqlservermaster.local
SQLDBNAME=db1
HIVEDBNAME=db1
BATCHID=
USERNAME="sqlusername"
PASSWORD="password"
sqoop export --connect 'jdbc:sqlserver://'$SQLHOST';username='$USERNAME';password='$PASSWORD';database='$SQLDBNAME'' --table ExportFromHive --columns col1,col2,col3 --export-dir /apps/hive/warehouse/$HIVEDBNAME.db/hivetablename
When I run this command from an oozie workflow, and it's passed the same parameters, I receive the error (when digging into the actual job run logs from the yarn scheduler screen):
**2015-10-01 20:55:31,084 WARN [main] org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl: Job init failed
org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.io.FileNotFoundException: File does not exist: hdfs://hadoopnode1:8020/user/root/.staging/job_1443713197941_0134/job.splitmetainfo
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.createSplits(JobImpl.java:1568)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.transition(JobImpl.java:1432)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.transition(JobImpl.java:1390)
at org.apache.hadoop.yarn.state.StateMachineFactory$MultipleInternalArc.doTransition(StateMachineFactory.java:385)
at org.apache.hadoop.yarn.state.StateMachineFactory.doTransition(StateMachineFactory.java:302)
at org.apache.hadoop.yarn.state.StateMachineFactory.access$300(StateMachineFactory.java:46)
at org.apache.hadoop.yarn.state.StateMachineFactory$InternalStateMachine.doTransition(StateMachineFactory.java:448)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl.handle(JobImpl.java:996)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl.handle(JobImpl.java:138)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster$JobEventDispatcher.handle(MRAppMaster.java:1312)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.serviceStart(MRAppMaster.java:1080)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster$4.run(MRAppMaster.java:1519)
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:1657)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.initAndStartAppMaster(MRAppMaster.java:1515)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.main(MRAppMaster.java:1448)
Caused by: java.io.FileNotFoundException: File does not exist: hdfs://hadoopnode1:8020/user/root/.staging/job_1443713197941_0134/job.splitmetainfo
at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1309)
at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1301)
at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1301)
at org.apache.hadoop.mapreduce.split.SplitMetaInfoReader.readSplitMetaInfo(SplitMetaInfoReader.java:51)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.createSplits(JobImpl.java:1563)
... 17 more**
Has anyone ever seen this and been able to troubleshoot it? It only happens from the oozie workflow. There are similar topics but no one seems to have solved this specific problem.
Thanks!
I was able to solve this problem by setting the user.name property on the job.properties file for the oozie workflow to the user yarn.
user.name=yarn
I think the problem was it did not have permission to create the staging files under /user/root. Once I modified the running user to yarn, the staging files were created under /user/yarn which did have the proper permission.

Job via Oozie HDP 2.1 not creating job.splitmetainfo

When trying to execute a sqoop job which has my Hadoop program passed as a jar file in -jarFiles parameter, the execution blows off with below error. Any resolution seems to be not available. Other jobs with same Hadoop user is getting executed successfully.
org.apache.hadoop.yarn.exceptions.YarnRuntimeException: java.io.FileNotFoundException: File does not exist: hdfs://sandbox.hortonworks.com:8020/user/root/.staging/job_1423050964699_0003/job.splitmetainfo
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.createSplits(JobImpl.java:1541)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.transition(JobImpl.java:1396)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl$InitTransition.transition(JobImpl.java:1363)
at org.apache.hadoop.yarn.state.StateMachineFactory$MultipleInternalArc.doTransition(StateMachineFactory.java:385)
at org.apache.hadoop.yarn.state.StateMachineFactory.doTransition(StateMachineFactory.java:302)
at org.apache.hadoop.yarn.state.StateMachineFactory.access$300(StateMachineFactory.java:46)
at org.apache.hadoop.yarn.state.StateMachineFactory$InternalStateMachine.doTransition(StateMachineFactory.java:448)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl.handle(JobImpl.java:976)
at org.apache.hadoop.mapreduce.v2.app.job.impl.JobImpl.handle(JobImpl.java:135)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster$JobEventDispatcher.handle(MRAppMaster.java:1241)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.serviceStart(MRAppMaster.java:1041)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster$1.run(MRAppMaster.java:1452)
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:1548)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.initAndStartAppMaster(MRAppMaster.java:1448)
at org.apache.hadoop.mapreduce.v2.app.MRAppMaster.main(MRAppMaster.java:1381)
So here is the way I solved it. We are using CDH5 to run Camus to pull data from kafka. We run CamusJob which is responsible for getting data from kafka using comman line:
hadoop jar...
The problem is that new hosts didn't get so-called "yarn-gateway". Cloudera names pack of configs related to service and copied to /etc/hadoop/conf
as "gateway". So I just clicked "deploy client configuration" in CM UI. YARN client conf has been copied to each YARN NodeManager node and it solved problem.

Accumulo on Cloudera CDH4 - Access denied when starting components

I have a small cluster up and running with Cloudera CDH4 Hadoop and Map Reduce v1. Namenode/Secondary Namenode/Jobtracker all on different machines. My three servers are also acting as Zookeeper servers.
I'm trying to install Accumulo 1.4.4 on top of this cluster. I get the same behavior with Accumulo 1.5.0. I am able to bin/accumulo init and initialize Accumulo, but starting the individual components fail. I'm trying to make my Namenode the Accumulo master.
bin/start-server.sh localhost monitor spits out a very encouraging Starting monitor on localhost, but nothing gets started. If I examine logs/monitor_localhost.err I find a stacktrace:
-bash-4.1$ cat logs/monitor_localhost.err
Thread "monitor" died null
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:622)
at org.apache.accumulo.start.Main$1.run(Main.java:91)
at java.lang.Thread.run(Thread.java:701)
Caused by: java.lang.ExceptionInInitializerError
at org.apache.hadoop.fs.FileSystem$Cache$Key.<init>(FileSystem.java:2464)
at org.apache.hadoop.fs.FileSystem$Cache$Key.<init>(FileSystem.java:2456)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2323)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:351)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:163)
at org.apache.accumulo.core.file.FileUtil.getFileSystem(FileUtil.java:554)
at org.apache.accumulo.core.client.ZooKeeperInstance.getInstanceIDFromHdfs(ZooKeeperInstance.java:258)
at org.apache.accumulo.server.conf.ZooConfiguration.getInstance(ZooConfiguration.java:65)
at org.apache.accumulo.server.conf.ServerConfiguration.getZooConfiguration(ServerConfiguration.java:49)
at org.apache.accumulo.server.conf.ServerConfiguration.getSystemConfiguration(ServerConfiguration.java:58)
at org.apache.accumulo.server.monitor.Monitor.run(Monitor.java:440)
at org.apache.accumulo.server.monitor.Monitor.main(Monitor.java:433)
... 6 more
Caused by: java.security.AccessControlException: access denied (java.lang.RuntimePermission accessDeclaredMembers)
at java.security.AccessControlContext.checkPermission(AccessControlContext.java:399)
at java.security.AccessController.checkPermission(AccessController.java:557)
at java.lang.SecurityManager.checkPermission(SecurityManager.java:549)
at java.lang.Class.checkMemberAccess(Class.java:2237)
at java.lang.Class.getDeclaredFields(Class.java:1805)
at org.apache.hadoop.util.ReflectionUtils.getDeclaredFieldsIncludingInherited(ReflectionUtils.java:315)
at org.apache.hadoop.metrics2.lib.MetricsSourceBuilder.initRegistry(MetricsSourceBuilder.java:92)
at org.apache.hadoop.metrics2.lib.MetricsSourceBuilder.<init>(MetricsSourceBuilder.java:56)
at org.apache.hadoop.metrics2.lib.MetricsAnnotations.newSourceBuilder(MetricsAnnotations.java:42)
at org.apache.hadoop.metrics2.impl.MetricsSystemImpl.register(MetricsSystemImpl.java:212)
at org.apache.hadoop.metrics2.MetricsSystem.register(MetricsSystem.java:54)
at org.apache.hadoop.security.UserGroupInformation$UgiMetrics.create(UserGroupInformation.java:97)
at org.apache.hadoop.security.UserGroupInformation.<clinit>(UserGroupInformation.java:190)
... 18 more
The AccessControlException: access denied looks like the important line to me, but I can't imagine what access is being restricted. I'm running everything as the hdfs user, which owns the entire /opt/accumulo-1.4.4/ directory where accumulo is un-tarred. The /accumulo directory in HDFS is also owned by the hdfs user. SELinux is permissive. Searching online has proved fruitless, has anyone dealt with this error before?
Much thanks.
I started browsing the Apache accumulo-users mailing list archive and came across the solution.
http://mail-archives.apache.org/mod_mbox/accumulo-user/201312.mbox/%3CB9CB2B2BF27F0F46B8ECF781831E00E710970A9F%400015-its-exmb10.us.saic.com%3E
I was copying the accumulo.policy.example to accumulo.policy because I thought I needed it in my configuration. Once I deleted the accumulo.policy file my issues went away and I've been able to stand up Accumulo (1.5.0 at least, 1.4.4 still has some issues for me)

The "Spring XD" xd-shell can't run the hadoop fs ls command, the command returns a java exception

I compiled the latest spring-xd as I needed CDH support. I am able to start the server however when I connect to the server via the xd-shell I try to change a "configuration". Also this is a kerberized cluster, I am not sure how xd will/can handle that.
1st scenario:
admin config server --uri http://testdomain:10111
hadoop config fs --namenode hdfs://nameservice1:8020
hadoop config props set hadoop.security.group.mapping=org.apache.hadoop.security.ShellBasedUnixGroupsMapping
hadoop config props load hadoop.security.group.mapping
hadoop fs ls
Error message:
xd:>hadoop fs ls
-ls: Fatal internal error
java.lang.RuntimeException: java.lang.reflect.InvocationTargetException
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:128)
at org.apache.hadoop.security.Groups.<init>(Groups.java:55)
at org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:182)
at org.apache.hadoop.security.UserGroupInformation.initUGI(UserGroupInformation.java:252)
at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:223)
at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:214)
at org.apache.hadoop.security.UserGroupInformation.isSecurityEnabled(UserGroupInformation.java:277)
at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:668)
at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:573)
at org.apache.hadoop.fs.FileSystem$Cache$Key.<init>(FileSystem.java:2428)
at org.apache.hadoop.fs.FileSystem$Cache$Key.<init>(FileSystem.java:2420)
at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2288)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:316)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:162)
at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:300)
at org.apache.hadoop.fs.Path.getFileSystem(Path.java:194)
at org.apache.hadoop.fs.shell.PathData.expandAsGlob(PathData.java:270)
at org.apache.hadoop.fs.shell.Command.expandArgument(Command.java:224)
at org.apache.hadoop.fs.shell.Command.expandArguments(Command.java:207)
at org.apache.hadoop.fs.shell.Command.processRawArguments(Command.java:190)
at org.apache.hadoop.fs.shell.Command.run(Command.java:154)
at org.apache.hadoop.fs.FsShell.run(FsShell.java:254)
at org.springframework.xd.shell.hadoop.FsShellCommands.run(FsShellCommands.java:412)
at org.springframework.xd.shell.hadoop.FsShellCommands.runCommand(FsShellCommands.java:407)
at org.springframework.xd.shell.hadoop.FsShellCommands.ls(FsShellCommands.java:110)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:616)
at org.springframework.util.ReflectionUtils.invokeMethod(ReflectionUtils.java:191)
at org.springframework.shell.core.SimpleExecutionStrategy.invoke(SimpleExecutionStrategy.java:64)
at org.springframework.shell.core.SimpleExecutionStrategy.execute(SimpleExecutionStrategy.java:48)
at org.springframework.shell.core.AbstractShell.executeCommand(AbstractShell.java:127)
at org.springframework.shell.core.JLineShell.promptLoop(JLineShell.java:483)
at org.springframework.shell.core.JLineShell.run(JLineShell.java:157)
at java.lang.Thread.run(Thread.java:679)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:532)
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:126)
... 35 more
Caused by: java.lang.NoClassDefFoundError: Could not initialize class org.apache.hadoop.security.JniBasedUnixGroupsMapping
at org.apache.hadoop.security.JniBasedUnixGroupsMappingWithFallback.<init>(JniBasedUnixGroupsMappingWithFallback.java:38)
... 40 more
2nd scenario
alternatively I remove some java opts
run steps 1, 2 from previous scenario
then
hadoop config props set hadoop.security.authorization=true
hadoop config props set hadoop.security.authentication=kerberos
error below
16:50:29,682 WARN Spring Shell util.NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
ls: Authorization (hadoop.security.authorization) is enabled but authentication (hadoop.security.authentication) is configured as simple. Please configure another method like kerberos or digest.
Thanks for you assistance - can't wait to get this working!
Thanks for raising this - we haven't tested with authorization/authentication in the shell for a while - though it is tested as part of the project https://github.com/vmware-serengeti/serengeti-ws
Are you able to perform operations using the standard hadoop file system shell. e.g.
hdfs dfs -ls /user/hadoop/file1
There is currently no specific support in XD for running against a secured Hadoop cluster.
Feel free to open a JIRA ticket at https://jira.springsource.org/browse/XD -- this is something we know we will have to address soon.

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