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10-27-2022
04:48 AM
@Ninja Cool send me the link I will download it and give you the steps.
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10-26-2022
12:35 PM
@drewski7 Ranger plugins that use Ranger as an authorization module will cache local policy and use the same for authorization purposes Ranger plugins cache the tags and periodically poll the tag store for any changes. When a change is detected, the plugins update the cache. In addition, the plugins store the tag details in a local cache file – just as the policies are stored in a local cache file. When the component restarts, the plugins will use the tag data from the local cache file if the tag store is not reachable. At periodic intervals , a plugin polls the Ranger Admin to retrieve the updated version of policies. The policies are cached locally by the plugin and used for access control The Policy evaluation and policy enforcement happens within the service process. The heart of this processing is the “Policy Engine”. It uses a memory resident-cached set of policies. Ranger takes 30secs to refresh policies check the "Plugin" option in the ranger UI but you can change the refresh time In Ambari UI->HDFS->Services->Configs->"Advance ranger-hdfs-security" you can change the poll interval here[refresh time]. Geoffrey
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10-26-2022
12:16 PM
@Ninja is this a sandbox if yes can you share the download link? Have you tried the below and restarting ambari? # Update password ambari-admin-password-reset # If Ambari doesn't restart automatically, restart ambari service ambari-agent restart Please let me know Geoffrey
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10-03-2022
12:24 PM
@Venkatd Can you share the walkthrough of what you have already done and the errors you are encountering? It will be easier to help you from that standpoint and don't forget to mention the versions of HDP/Atlas
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10-02-2022
10:29 AM
@imule Firstly I would like to ask if there were any changes in the cluster i.e Patching or rpm ? if the spark-submit was running successfully before you need to know this could be linked to the python version On the edge/gateway node # python -V # Python 3.7.7 # conda deactivate # Python 2.7.5 Then try relaunching your spark-submit
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09-27-2022
12:49 PM
@MISAKIGA Have you had a look at this configuring Kerberos using restAPI
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09-21-2022
05:08 AM
@dmharshit The 2 SQL inserts are not identical the latter only updates the password while the former user and password. Prior to your update did your backup the table? Geoffrey
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09-17-2022
01:10 PM
@dmharshit To resolve this issue, you will have to update Ranger’s backend database directly to reset the password you will need to write access to Ranger’s backend database. Using MySQL you know how to log into MySQL from either the command line The users who can access Ranger’s Admin Web UI, also call Portal, are stored in a table called “x_portal_user“. mysql> show tables; +------------------------------+ | Tables_in_ranger | +------------------------------+ | vx_trx_log | | x_access_type_def | .... | x_portal_user | | x_portal_user_role | ... +------------------------------+ 67 rows in set (0.00 sec) Query this table to confirm your Admin user is present in the table: mysql> SELECT id, first_name, last_name, login_id, password, status \ FROM x_portal_user WHERE login_id = 'admin'; +----+------------+-----------+----------+----------------------------------+--------+ | id | first_name | last_name | login_id | password | status | +----+------------+-----------+----------+----------------------------------+--------+ | 1 | Admin | | admin | fdea9c9f5fabb9c4120b9834684f0ff0 | 1 | +----+------------+-----------+----------+----------------------------------+--------+ 1 row in set (0.00 sec) The password corresponds to the hashed value of “fdea9c9f5fabb9c4120b9834684f0ff0”, reset it to default value of “admin”, which has the hash value of “ceb4f32325eda6142bd65215f4c0f371”. Please run the below query: UPDATE x_portal_user SET password = 'ceb4f32325eda6142bd65215f4c0f371' WHERE login_id = 'admin'; After that, just log into Ranger Web UI using “admin” as username and “admin” as password, then update the password IMMEDIATELY through web UI. Hope that helps Geoffrey
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09-01-2022
10:57 AM
@hebamahmoud You first need to integrate Kudu with HMS I would advise you to read the whole document Geoffrey
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06-09-2022
06:10 AM
@vkotsas First, you need to establish communication between the 2 [server01 and server02] to ensure the DNS can resolve, ssh is okay and Kerberos cross-realm is working if the clusters are kerberized. Next copy hdfs-site.xml and core-site.xml from Hadoop server01 to Nifi server02 note the paths as you will need that information during the setup, in the Nifi perspective, the core-site.xml and hdfs-site.xml has all the necessary Hadoop connection information needed. Use the FetchHDFS and not GetHDFS as the latter deletes the source, this skeleton procedure should help you fine-tune your HDFS copy from server01 to Server02 please let me know if you need more help? Geoffrey
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