Member since
01-18-2017
24
Posts
8
Kudos Received
2
Solutions
My Accepted Solutions
Title | Views | Posted |
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16253 | 06-16-2017 12:14 AM | |
38362 | 02-24-2017 06:26 AM |
07-02-2017
11:54 PM
1 Kudo
Hello, If the Hue Kerberos Ticket Renewer does not start, check your KDC configuration and the ticket renewal property, maxrenewlife, for the hue/<hostname> and krbtgt principals to ensure they are renewable. If not, running the following commands on the KDC will enable renewable tickets for these principals: kadmin.local: modprinc -maxrenewlife 90day krbtgt/MY.REALM
kadmin.local: modprinc -maxrenewlife 90day +allow_renewable hue/my-hostname@MY.REALM Thanks! Laith
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06-19-2017
01:22 AM
1 Kudo
Hello DDreaner94, Thanks for confirning that the docunmation works for you, and I agree with @mbigelow, CDH itself isn't really doing the checking so much as relying on system time. The NTP check and Chrony check are doing by the Agent since there are some time sensitive components in the stack. Please let us know if you have any other concers.. Have a nice day! Laith
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06-16-2017
12:14 AM
1 Kudo
Hello DDreamer94! CDH requires that you configure the NTP service on each machine in your cluster. For more information, please take a look into: https://www.cloudera.com/documentation/enterprise/latest/topics/install_cdh_enable_ntp.html Thanks, Laith
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04-19-2017
12:03 PM
3 Kudos
Question What are the minimum and maximum cluster sizes?
Answer The minimum cluster size is 3 worker nodes, 1 Master node, and 1 Cloudera Manager node, for a total of five nodes. The maximum cluster size varies based on cluster type and public cloud. Further information about this could be found in this Cloudera Altus Documentation section NOTE: Each cluster spun up by Cloudera Altus requires 2 additional (master) nodes, one for CM and the other for Master services used for each cluster. These 2 nodes are a hard-requirement per cluster as they're required for a functional cluster and will need to be accounted for when calculating the public cloud instance limits.
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04-19-2017
11:14 AM
Question What type of access Cloudera Altus Cluster provides for Cloudera Manager user?
Answer Read-only access. User (guest by the default) can't modify or change settings or configurations in Cloudera Manager.
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04-19-2017
11:07 AM
Question Can I choose the Linux distribution that a Cloudera Altus Cluster will be running on?
Answer Currently, the selected Linux distribution for deployment in Cloudera Altus Clusters is based on CentOS 7.x 64-bit. At this time, no other Linux distrubtions are available for use with Cloudera Altus.
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04-19-2017
11:04 AM
Question Does Cloudera save AWS user credentials (AWS Access Key ID or AWS Access Key)?
Answer No, Cloudera doesn't save AWS user credentials. If Cloudera Altus environment is set-up using the Cloudera Altus Quickstart, the user is prompted for these credentials, but they are never sent to Cloudera Altus. They are used by the web application residing within the user's brower that sends commands directly to AWS to create necessary resources using a CloudFormation script. In case of the Environment being created via Cloudera Altus Wizard, credentials will never need to appear inside the Cloudera Altus console. User needs to create necessary resources in AWS console and then grant access to them using AWS cross account access mechanism, which does not involve explicit key management.
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04-19-2017
11:00 AM
Question Does Cloudera have access to the customer data in Cloudera Altus Clusters?
Answer No. Cloudera Altus clusters are setup with the expectation that data will reside on the cloud provider's object storage (AWS S3, Azure ADLS). When data resides in this object storage (which exists inside a customer account within AWS or Azure), the Cloudera Altus service does not have access to this data.
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04-19-2017
10:51 AM
2 Kudos
Question What are the available cluster types in Data Engineering Cluster?
Answer Currently, Cloudera provides clusters that can run the following Data Engineering job types: - Hive on MapReduce - Hive on Spark - Spark on YARN - MapReduce2 - PySpark Note: Job submission for a cluster is restricted to the type of job for that various cluster. For example, if you wanted to run just a MR2 job on a Spark-on-YARN cluster, you cannot submit this, even though Spark is configured to use YARN. You would need to standup a separate YARN cluster for it to accept a MR2/YARN job.
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02-24-2017
06:26 AM
Hello Rashmi To find out your CM version, you can run CM -> Support -> About. And to find out your CDH version, you can run CM -> Clusters. Best Laith
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