Member since
09-29-2015
67
Posts
50
Kudos Received
8
Solutions
My Accepted Solutions
Title | Views | Posted |
---|---|---|
886 | 08-22-2016 11:07 AM | |
729 | 08-18-2016 09:40 PM | |
4636 | 06-03-2016 11:17 PM | |
1460 | 06-01-2016 06:27 PM | |
768 | 05-31-2016 06:42 PM |
08-31-2016
10:55 PM
What is the output of the following when run on the agent host? hostname -f hadoopmaster.training
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08-22-2016
12:27 PM
4 Kudos
We just updated Hortonworks Data Cloud for AWS to Technical Preview #3. This update includes the following new features:
Ability to use an Existing VPC for the Cloud Controller and your clusters. Centrally manage your Hive Metastore database instances, to make re-using the Metastore between clusters much easier. Optionally receive an email notification once your cluster is ready. Checkout the Release Notes for more details: http://hortonworks.github.io/hdp-aws/releasenotes/ Get Started and Launch Hortonworks Data Cloud in your AWS environment: http://hortonworks.github.io/hdp-aws/ Check it out. You can provide feedback and ask questions here at the Hortonworks Community Connection: http://hortonworks.github.io/hdp-aws/feedback/#how-to-create-a-question Have fun!
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08-22-2016
11:07 AM
3 Kudos
It is not possible to configure the Ambari Server instance (ambari.properties) via Blueprints. The idea is Ambari Server is already setup and configured, then you use Blueprints for cluster install. You'll need to automate running "ambari-server setup-ldap" (and the other Ambari Server setup commands), or handle modifying the ambari.properties file to get the Ambari Server configured how you want. Then use the Server with a Blueprint for cluster install. Hope this helps.
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08-18-2016
09:40 PM
1 Kudo
Hi, It current is not. You can manually resize scale-up/down but cannot setup auto-scaling via Hortonworks Data Cloud. We are considering this a roadmap item. Thanks.
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08-02-2016
07:31 PM
5 Kudos
A few weeks ago, we announced the availability of Hortonworks Connected Data Cloud for AWS Technical Preview. We have just updated the Technical Preview (to RC#36) with the following new features: Ability to manage cluster templates to make re-using cluster configurations a whole lot easier Ability to set custom properties on cluster create to fine-tune your cluster configuration Checkout the Release Notes for more details: http://hortonworks.github.io/hdp-aws/releasenotes/ Get Started and Launch Hortonworks Cloud in your AWS environment: http://hortonworks.github.io/hdp-aws/ Check it out. You can provide feedback and ask questions here at the Hortonworks Community Connection: http://hortonworks.github.io/hdp-aws/feedback/#how-to-create-a-question Have fun!
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07-27-2016
08:23 PM
Thanks @milind pandit for posting this summary! FWIW: folks can find out some more here too... https://hortonworks.com/blog/quickly-launch-hortonworks-data-platform-amazon-web-services/ Have fun!
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06-03-2016
11:17 PM
1 Kudo
Wonder if you are hitting this issue? https://issues.apache.org/jira/browse/AMBARI-13875 It's fixed in Ambari 2.2+. The latest Ambari is 2.2.2.0 and upgrade docs / general docs can be found here: http://docs.hortonworks.com/HDPDocuments/Ambari/Ambari-2.2.2.0/index.html
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06-02-2016
06:28 PM
1 Kudo
Also note, config changes are logged to: /var/log/ambari-server/ambari-config-changes.log
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06-01-2016
06:27 PM
Correct, there is no current "lockout" feature in Ambari when using the default Local user store. Please file an Improvement JIRA in Ambari project. This is a good enhancements to consider. Note: You can set users as Active/Inactive if you want to lockout users. And also Note: it's always best practice to make sure to change the default password for the admin user out of the box.
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05-31-2016
09:16 PM
If you are asking about Ambari: To change the Ambari DB: you can re-run "ambari-server setup", enter the "advanced database configuration" section and setup for the DB you want to use. You are responsible for migrating the data from the embedded PostgreSQL to the SQL DB you plan to use. If you are asking about Hive: To change the Hive DB (after installing your cluster and leaving Ambari to install a default MySQL instance), you can modify the database settings in Services > Hive > Configs and choose "Existing MySQL" (or other option) that you can point to your own MySQL instance. Refer to this section of the docs for how to setup Hive to use an existing MySQL database (i.e. not the MySQL that Ambari has installed by default to use with Hive). http://docs.hortonworks.com/HDPDocuments/Ambari-2.2.2.0/bk_ambari_reference_guide/content/ch_amb_ref_using_non_default_databases.html
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