Not a customer? Click the 'Start a free trial' link to begin a 30-day SaaS trial of our product and to join our community.
Existing Cisco AppDynamics customers should click the 'Sign In' button to authenticate to access the community
03-08-2018 01:56 PM
I have been asked to create a weekly report with hourly observations for disk storage utilization within a Hadoop cluster. The cluster has 6 data nodes and each node has 8 HDFS disk devices. Each data node has two additional disk devices for o/s which I want to exclude.
Generating a Secheduled Report doesn't appear to have sufficient flexibility to exclude the o/s disk devices. I have tried to use the On Demand reporting tool, but I have to laboriously add each disk one-at-a-time for each of the 6 data nodes.
After the first node, adding each subsequent disk takes more than a minute. At about node three, the reporting tool chokes and dies.
There has to be a better way. Is the AppD data repository schema externalized so I can write a query using a SQL statement or some other API to retrieve the data I want?
I appreciate the help.
03-19-2018 10:58 PM
Hi,
Can you try creating a custom dashboard and configure it with the specific nodes as per your requirement. Once it is created, schedule a report for this dashboard and let us know if that helps.
For more information, please folllow
https://docs.appdynamics.com/display/PRO44/Dashboards+and+Reports
Thanks,
Yogesh
03-20-2018 03:19 PM
Yogesh,
Thank you for the response. I have tried to create a custom report. The problem is that when using the AppD console UI, as I add each additional disk (8 disks per node, 22 data nodes in the largest cluster) the UI slows to the point that it's unusable. I understand that there are a lot of data points (8 x 22 x 168 hourly observations for a week). Is there a problem with memory or some other configurable parameter so the I can use the UI sucessfully?
I can set up a GoToMeeting session for you so I can demonstrate the problem.
Thanks,
Frank
Thank you! Your submission has been received!
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form