Getting User:amb_ranger_admin credentials on Ambari UI are not in sync with Ranger. can you please let me know what config changes are required for this.
Thanks
You can refer below link
http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.3.4/bk_Ranger_Install_Guide/content/updating_ranger_admin_passwords.html
Passdowrd for Configs > Advanced ranger-env in the fields labeled admin_username and Ranger Admin user's password for Ambari should match.
Hope this helps.
Related
I was trying to follow along the tutorial for Salesforce integration to Redshift on https://www.astronomer.io/guides/salesforce-to-redshift/. I have successfully setup Amazon S3 connection on Apache-Airflow like the answer here. But there is no Conn Type of Salesforce.
Does anyone know what the steps are to create a Salesforce connection on the Apache-Airflow UI?
Don't know if it helps but my Airflow is installed on an Ubuntu Amazon EC2 environment.
I figured it out. The trick is to leave the Conn Type empty. I started by filling out the Host, Login and Password. Then on Extra, I added a dictionary that had my login's security token. It will look like the screenshot below.
Ambari shows me an alert message:
"Ranger Admin password check
User:admin credentials on Ambari UI are not in sync with Ranger"
How I can resolve this ? What should I need to do.
I have tried to set the same password for (amb_ranger_admin, admin, etc) but it didn't help.
My version of Ambari is 2.7.1
HDP 3.0.1
This topic seems to have been discussed here: https://community.hortonworks.com/answers/221995/view.html
To summarize, the key steps are:
Set the password first in ranger and then in ambari
Check if the passwords are the same
If they are not the same? : Analyze which one (likely Ambari) is not updating the config
If they are the same? : Analyze why you still get the warning
I have setup an EMR 4.4 cluster with Zeppelin/Spark configured. I successfully managed to setup Zeppelin on localhost and was logged in as anonymous. I added created a user and password and continued to work with my notebook. I later started a new cluster and I am now presented with a login screen for Zeppelin which will not accept my username and password. Is there a way to flush the privileges or find out what I did enter?
Many thanks!
Added the port at the end and it allowed access.
http://127.0.0.1:8890/
I am using internal Datastax Enterprise authentication. This means I need to give datastax-agent username and password to access my database. Which privileges does its username need? To which keyspaces? Feel free to refer me to documentation as I haven't found anything on this.
Phact wrote:
The c* user used for the agent should have all grants for the opscenter keyspace and describe / select for everything else. I'll work on getting details added to the datastax docs.
I set up a Neo4j database on Azure following this guide. The set-up process went fine. The issue I'm having is that the database is not asking for a username or password when I access it though the public port. In other words, anyone can access and edit the database by simply navigating to the URL. Can anyone point me in the right direction as to how to set up authentication?
First: That's a fairly old walkthrough, with the v1.8 version of Neo4j running on the preview of Virtual Machines. And that image had a pre-set username and password. Look closely at the login box:
"The server says neo4j graphdb"
Those two will be your username and password.
Note: This is not the case if you use the latest 2.0x image in VM Depot.
I was able to get this working by modifying the /conf/neo4j-server.properties file and following the instructions at the github repo.
# Basic Auth-Filter-Extension
# See docs here: https://github.com/neo4j-contrib/authentication-extension
org.neo4j.server.credentials=your_user_name:your_password
org.neo4j.server.thirdparty_jaxrs_classes=org.neo4j.server.extension.auth=/auth