Troubleshooting Cluster Administration

The following list identifies how to address several cluster administration issues:

The URL reported by YARN for tracking job details does not load.
This URL uses the output of the hostname -f command, which must be the fully qualified domain name (FQDN) for the node. On Ubuntu, make sure that the /etc/hostname file is configured with the node’s FQDN. On CentOS/Redhat, make sure that the /etc/sysconfig/network file is configured with the node’s FQDN, then restart the node.
The ResourceManager does not start.

If the ResourceManager does not come up, check the following:

  • Check that you supplied the correct ResourceManager hostname or IP address in the -RM parameter when running configure.sh on each node at installation time. If you are not sure, you can re-run configure.sh to correct the problem.

  • Do not specify a ResourceManager port with the hostname or IP address in the -RM parameter; there is no <port> option.

  • Make sure that you specified the same ResourceManager hostname or IP address on all nodes when running configure.sh.

  • For more information about what might be causing a problem, check the ResourceManager logs:/opt/mapr/hadoop/hadoop-<version>/logs

The NodeManager does not start.

If the NodeManager does not come up, check the following:

  • Make sure that the fileserver role is installed on the node by looking in the /opt/mapr/roles directory.

  • Make sure that the fileserver service is running, using either the service list command or the MapR Control System.

  • For more information about what might be causing a problem, check the NodeManager logs:/opt/mapr/hadoop/hadoop-2.3.0/logs

Job history is not available.

If job history is not recorded, check the following:

  • Make sure that the HistoryServer role is installed on the desired node by looking in the /opt/mapr/roles directory. Note that only one node in the cluster can have the HistoryServer role.

  • Make sure the HistoryServer is running on the desired node, using either the service list command or the HPE Ezmeral Data Fabric Control System.

  • Check that you supplied the correct HistoryServer hostname or IP address in the -HS parameter when running configure.sh on each node at installation time. If you are not sure, you can re-run configure.sh to correct the problem.

Submitted applications do not show up in the ResourceManager.

If you submit an application and it does not appear in the ResourceManager, check the following:

  • Make sure the application is running in YARN and not as a local application (check for app_local or job_local in the application output).

  • Check the class path on which the application was invoked, and make sure that /opt/mapr/hadoop/hadoop-<version>/etc/hadoop includes the class paths.

  • Make sure that you are running in the correct version of Hadoop. Example:juser@Techpubs-rawnode01:~$ ls -l /usr/bin/hadooplrwxrwxrwx 1 root root 40 Mar 4 11:38 /usr/bin/hadoop -> /opt/mapr/hadoop/hadoop-2.3.0/bin/hadoop

The application throws a ClassNotFound exception at job submission time.

If you submit an application and it throws the ClassNotFound exception, check the following:

  • Check that the application jar is correctly packaged with the required class.

  • Make sure that you are running in the correct version of Hadoop. Example:juser@Techpubs-rawnode01:~$ ls -l /usr/bin/hadooplrwxrwxrwx 1 root root 40 Mar 4 11:38 /usr/bin/hadoop -> /opt/mapr/hadoop/hadoop-2.3.0/bin/hadoop

I want to move the HistoryServer and ResourceManager to different nodes.

If you have installed the HistoryServer and the ResourceManager on the same node (when you initially ran configure.sh you did not specify the -HS parameter, or you specified the same IP address or hostname for both the -RM and -HS parameters), you can use configure.sh to move one or both services to different nodes. Make sure to specify both the -HS parameter and the -RM parameter, because if you only specify the -RM parameter the HistoryServer will move to the ResourceManager node.

Timing issue prevents services from starting on a secure cluster.

If your cluster has security features enabled, you may encounter a timing issue that results in services failing to start during initial configuration with the -F option. (This issue does not arise if you are bringing up a cluster that has already been installed and configured.)

When you run the configure.sh script with the -F option, the ZooKeeper and Warden services start up on the primary node first, then as other nodes are installed, services are automatically started on those nodes. However, because of this timing issue, Warden may fail to communicate with ZooKeeper, and the cluster may fail to come up.

If you encounter this problem, do not use the -F option. Instead, stop all ZooKeeper and Warden services on all nodes, then start the ZooKeeper services on all of the ZooKeeper nodes (that is, the nodes where the ZooKeeper packages are installed). Finally, start the Warden services on all nodes.

How to find a node's serverid.

Some maprcli commands take an argument serverid, which is an unique identifier for each node in a cluster. This id is also sometimes referred to as the "node id".

To find the serverid, use the maprcli node list command, which lists information about all nodes in a cluster. The id field is the value to use for serverid.

For example:

maprcli node list -columns hostname,id
   id                   hostname     ip           
   4800813424089433352  node-28.lab  10.10.20.28  
   6881304915421260685  node-29.lab  10.10.20.29  
   4760082258256890484  node-31.lab  10.10.20.31  
   8350853798092330580  node-32.lab  10.10.20.32  
   2618757635770228881  node-33.lab  10.10.20.33 

You can also get this listing as a JSON object by using the -json option. For example:

maprcli node list -columns id,hostname -json
   {
        "timestamp":1358537735777,
        "status":"OK",
        "total":5,
        "data":[
                {
                        "id":"4800813424089433352",
                        "ip":"10.10.20.28",
                        "hostname":"node-28.lab"
                },
                {
                        "id":"6881304915421260685",
                        "ip":"10.10.20.29",
                        "hostname":"node-29.lab"
                },
                {
                        "id":"4760082258256890484",
                        "ip":"10.10.20.31",
                        "hostname":"node-31.lab"
                },
                {
                        "id":"8350853798092330580",
                        "ip":"10.10.20.32",
                        "hostname":"node-32.lab"
                },
                {
                        "id":"2618757635770228881",
                        "ip":"10.10.20.33",
                        "hostname":"node-33.lab"
                }
        ]
   }
Error 'mv Failed to rename maprfs...' when moving files across volumes.

Prior to version 2.1, you cannot move files across volume boundaries in the HPE Ezmeral Data Fabric Platform. You can move files within a volume using the hadoop fs -mv command, but attempting to move files to a different volume results in an error of the form "mv: Failed to rename maprfs://<source path> to <destination path>".

As a workaround, you can copy the file(s) from source volume to destination volume, and then remove the source files.

The example below shows the failure occurring. In this example directories /a and /b are mount-points for two distinct volumes.

hadoop fs -ls /
   Found 2 items
   drwxrwxrwx   - root root          0 2011-12-02 15:14 /a
   drwxrwxrwx   - root root          0 2011-12-02 15:09 /b

hadoop fs -put testfile /a
hadoop fs -ls /a
   Found 1 items
   -rwxrwxrwx   3 root root    2048000 2011-12-02 15:18 /a/testfile

root@node1:~# hadoop fs -mv /a/testfile /b
   mv: Failed to rename maprfs://10.10.80.71:7222/a/testfile to /b

The following example shows the work-around, moving a file /a/testfile to directory /b, and then removing the source file.

hadoop fs -cp /a/testfile /b/testfile
hadoop fs -ls /b
   Found 1 items
   -rwxrwxrwx   3 root root    2048000 2011-12-02 15:19 /b/testfile

hadoop fs -rmr /a/testfile
   Deleted maprfs://10.10.80.71:7222/a/testfile

hadoop fs -ls /a

This workaround is only necessary if /a and /b correspond to different volumes.

'ERROR com.mapr.baseutils.cldbutils.CLDBRpcCommonUtils' in cldb.log, caused by mixed-case cluster name in mapr-clusters.conf.

HPE Ezmeral Data Fabric cluster names are case sensitive. However, some versions of MapR v1.2.x have a bug in which the cluster names specified in /opt/mapr/conf/mapr-clusters.conf are not treated as case sensitive. If you have a cluster with a mixed-case name, after upgrading from v1.2 to v2.0+, you may experience CLDB errors (in particular for mirror volumes) which generate messages like the following in cldb.log:

2012-07-31 04:43:50,716 ERROR com.mapr.baseutils.cldbutils.CLDBRpcCommonUtils
[VolumeMirrorThread]: Unable to reach cluster with name: qacluster1.2.9. No
entry found in file /conf/mapr-clusters.conf for cluster qacluster1.2.9.
Failing the CLDB RPC with status 133

(The path given in this message is relative to /opt/mapr/, which might be misleading.)

As a work-around after upgrading, to continue working with mirror volumes created in v1.2, duplicate any lines with upper-case letters in mapr-clusters.conf, converting all letters to lower case.

Mirror volumes created in v2.0+ do not exhibit this behavior.

HPE Ezmeral Data Fabric Control System does not display on Internet Explorer.

The HPE Ezmeral Data Fabric Control System supports Internet Explorer version 9 and above. In IE9, Compatibility View under the Tools menu must be turned off, or else the user interface will not display correctly.

Unable to kill a job using the Metrics UI.

The following error displays when the root user tries to kill a job using the Metrics UI: Failed to get Job information for job_x, Error: mapr is not allowed to impersonate root

To resolve this issue, add the following properties to core-site.xml in directory /opt/mapr/hadoop/hadoop-0.20.2/etc/ :

<property>
<name>hadoop.proxyuser.mapr.groups</name>
<value>*</value>
<description>Allow the superuser mapr to impersonate any member of any
group</description>
</property>


<property>
<name>hadoop.proxyuser.mapr.hosts</name>
<value>*</value>
<description>The superuser can connect from any host to impersonate a
user</description>
</property>
YARN logs are deleted before the application completes.

The duration that YARN container logs are maintained starts from the time that the application starts running.

When YARN container logs are not aggregated, the YARN container logs are retained for 3 hours on each node. To update the duration, edit the value of yarn.nodemanager.log.retain-seconds in yarn-site.xml file.

When YARN container log aggregation is enabled, by default, the aggregated logs are not deleted. However, this setting can be overridden in yarn-site.xml. To update the duration, edit the value of log-aggregation.retain-seconds in yarn-site.xml file.

You must consider how long you want the log to remain past the amount of time that the application will take to run. For example, if you expect most applications to take 20 seconds to run, do not set the value of this property to 20 seconds because the log may be deleted before the applications competes.

YARN applications fail because /tmp subdirectories have been deleted.
Some RHEL and CentOS platforms include the tmpwatch service by default. This service cleans up the /tmp directory on a regular basis. However, this operation causes the deletion of directories that are needed for applications to run (for example, nm-local-dir for YARN). The running NodeManager process does not re-create these missing directories, causing applications to fail.
Jobs fail when the timeline server is down
The timeline server for the Hive-on-Tez user interface does not support high availability. Jobs fail when the resource manager cannot connect to the timeline server. However, you can change the yarn.timeline-service.client.best-effort property to TRUE in yarn-site.xml to allow applications to run successfully even when the timeline server is down.