Thanks Donald.

In summary:  spark-streaming application (ZTT) is used to read message from 
Kafka, unpacks the data and  write the data in OpenTSDB. In case of HDFS store, 
Gobblin can be used with no additional program.

In Gobblin case, what is the role of PNDA? Is it that PNDA developed a plugin 
in Gobblin? If so, what does that do?

Thanks
Srini


From: donaldh via lists.onap.org [mailto:[email protected]]
Sent: Monday, November 26, 2018 2:45 AM
To: Addepalli, Srinivasa R <[email protected]>; 
[email protected]
Subject: Re: [onap-discuss] PNDA Demo - Few Questions Answered #dcaegen2

Yes, gobblin is configured to automatically ingest data that it recognises off 
any topic into HDFS. PNDA can normalize incoming data to Avro but gobblin would 
need to be configured to do so. PNDA currently runs gobblin in batch mode, 
scheduled every 30 minutes by default. Each batch produces a separate file in 
HDFS.

PNDA can be used to ingest data from Kafka to OpenTSDB. Gobblin is not used for 
this, though that may be possible. The pnda-ztt-app in the 
dcaegen2/analytics/pnda repository is a spark streaming application that 
receives data from Kafka, unpacks timeseries data values and writes them to 
OpenTSDB. The unpacking step is schema specific so the app is extensible. It 
currently unpacks Cisco telemetry and VES cpu messages. It will be extended to 
support all VES message content.

Cheers,
Donald.

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