Member since
03-14-2016
4721
Posts
1111
Kudos Received
874
Solutions
My Accepted Solutions
| Title | Views | Posted |
|---|---|---|
| 2823 | 04-27-2020 03:48 AM | |
| 5475 | 04-26-2020 06:18 PM | |
| 4648 | 04-26-2020 06:05 PM | |
| 3699 | 04-13-2020 08:53 PM | |
| 5602 | 03-31-2020 02:10 AM |
02-20-2019
04:58 PM
ON the yarn queues tab, I see: root (100%), default(0%), and llap(100%)..does this may changes had no effect??
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02-28-2019
02:12 AM
It works, thanks so much!
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02-14-2019
05:35 PM
Indeed thank you, that solved the issue, I was just surprised that I needed to do all that, thought ambari would have set that up from the beginning. A follow up question.. When I run the query on druid directly, it returns in like 2 seconds..when I run the query on hive..it converts to map-reduce and takes 2+ minutes to run..any thoughts on why? when running it through hive..I'm guessing the query is not being passed down..and rather all the data is being streamed back to hive?
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02-12-2019
03:14 PM
@Michael Bronson Just create the home directory as follows # su - hdfs
$ hdfs dfs -mkdir /user/slider
$ hdfs dfs -chown slider:hdfs /user/slider That should be enough .. good luck
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02-06-2019
03:06 AM
abandoning this effort. was not getting anywhere as I think the ldaps in corp.example.com and machein hostname setup was causing all my issues., it is not a preferred setup anyhow I needed to correct so i renamed all cluster membre with corp....
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02-06-2019
08:51 PM
Hi @Jay Kumar SenSharma, I perform a fresh installation of the cluster hdp 2.6.5. I follow steps mentioned and it works now 🙂 Many Thanks for your help. Regards,
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02-03-2019
07:33 AM
@Michael Bronson As we see that it is basically a "500 Error" which basically indicates an Internal Server Error hence you must see a very detailed Stack Trace inside your ambari-server.log. Can you please share the complete ambari-server.log so that we can check what might be failing.
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01-31-2019
03:25 AM
Thanks @Jay Kumar SenSharma for your help. Please see the output of the Ambari API call on browser . ambari-api-call-on-the-browser-output.txt http://$HOST_NAME:8080/api/v1/stacks/HDF/versions/3.3?fields=operating_systems/repositories/Repositories and CURL command on ambari server host . curl -ivL http://$HOST_NAME:8080/hdf/HDF/centos7/3.3.1.0-10/repodata/repomd.xml Please find the attached curl commend response .curl-uri-response.txt Can you please have a look on output files . Appreciated your help . -Vicky
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01-30-2019
12:08 PM
1 Kudo
@Yee Zee Please refer to the previously shared detailed steps to test this scenario. This works for any Abrupt Termination of the component (either due to host reboot or if somehow the process was killed abruptly). As mentioned earlier that Auto start of a component is based on its current state and "desired state". Which means if you stop a component using Ambari API Or using Ambari UI then you wont see the recovery because in that case the ambari DB will have the correct info.
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01-30-2019
10:10 PM
Thanks Jay Kumar SenSharma i have resolved the above issue to changing the permissions. Now i am facing one more issue , its seems to looks its not pointing to right repo file .I am using local repository Could you hele me appreciated your help . Thanks in advances. -Vicky Traceback (most recent call last):
File "/var/lib/ambari-agent/cache/stack-hooks/before-INSTALL/scripts/hook.py", line 37, in <module>
BeforeInstallHook().execute()
File "/usr/lib/ambari-agent/lib/resource_management/libraries/script/script.py", line 352, in execute
method(env)
File "/var/lib/ambari-agent/cache/stack-hooks/before-INSTALL/scripts/hook.py", line 33, in hook
install_packages()
File "/var/lib/ambari-agent/cache/stack-hooks/before-INSTALL/scripts/shared_initialization.py", line 37, in install_packages
retry_count=params.agent_stack_retry_count)
File "/usr/lib/ambari-agent/lib/resource_management/core/base.py", line 166, in __init__
self.env.run()
File "/usr/lib/ambari-agent/lib/resource_management/core/environment.py", line 160, in run
self.run_action(resource, action)
File "/usr/lib/ambari-agent/lib/resource_management/core/environment.py", line 124, in run_action
provider_action()
File "/usr/lib/ambari-agent/lib/resource_management/core/providers/packaging.py", line 30, in action_install
self._pkg_manager.install_package(package_name, self.__create_context())
File "/usr/lib/ambari-agent/lib/ambari_commons/repo_manager/yum_manager.py", line 219, in install_package
shell.repository_manager_executor(cmd, self.properties, context)
File "/usr/lib/ambari-agent/lib/ambari_commons/shell.py", line 753, in repository_manager_executor
raise RuntimeError(message)
RuntimeError: Failed to execute command '/usr/bin/yum -y install hdf-select', exited with code '1', message: 'Repository HDP-UTILS-1.1.0.22 is listed more than once in the configuration
One of the configured repositories failed (Unknown),
and yum doesn't have enough cached data to continue. At this point the only
safe thing yum can do is fail. There are a few ways to work "fix" this:
1. Contact the upstream for the repository and get them to fix the problem.
2. Reconfigure the baseurl/etc. for the repository, to point to a working
upstream. This is most often useful if you are using a newer
distribution release than is supported by the repository (and the
packages for the previous distribution release still work).
3. Run the command with the repository temporarily disabled
yum --disablerepo=<repoid> ...
4. Disable the repository permanently, so yum won't use it by default. Yum
will then just ignore the repository until you permanently enable it
again or use --enablerepo for temporary usage:
yum-config-manager --disable <repoid>
or
subscription-manager repos --disable=<repoid>
5. Configure the failing repository to be skipped, if it is unavailable.
Note that yum will try to contact the repo. when it runs most commands,
so will have to try and fail each time (and thus. yum will be be much
slower). If it is a very temporary problem though, this is often a nice
compromise:
yum-config-manager --save --setopt=<repoid>.skip_if_unavailable=true
Cannot find a valid baseurl for repo: HDF-3.3-repo-151
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