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To use DataLake, you need to have at least one of these systems ready. Once DataLake is deployed, you can configure Topic and storage in the DataLake Admin UI.


Deployment Steps

  • Preconfiguration of tiller and helm

DL-handler consists of two pods- the feeder and admin UI. It can be deployed by using cloudify Helm plug-in. Since the tiller IP address and port should be exposed and accessed by Helm, some additional configuration steps are needed. the detailed pre-configuration steps can be found in the Cloudify Helm Plugin wiki page.

  • Transfer blueprint component inputs file in DCAE bootstrap POD under / directory

Next, the cloudify input file of datalake should be placed into bootstrap pod. The input file can be found in ONAP git repository. Once you clone the repository, the blueprint file could be copied to the DCAE bootstrap pod through the command line.

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kubectl cp <source directory>/components/datalake-handler/dpo/blueprint/k8s-datalake-helm-input.yaml <DCAE bootstrap pod>:/blueprint -n onap

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  • Log-in to the DCAE bootstrap POD's main container

The following command lets you log in to the DCAE bootstrap pod.


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kubectl exec -it <DCAE bootstrap pod> /bin/bash -n onap


  • Validate blueprint

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    cfy blueprints validate /blueprints/k8s-dl-handler.yaml


  • Upload the blueprint to cloudify manager.

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    titleValidate Blueprint
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    cfy blueprint upload /bluerint/k8s-helm.yaml


  • Verify Plugin versions in target Cloudify instance match to blueprint imports

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    cfy plugins list

    If the version of plugin used are different, update the blueprint import to match.

  • Deploy Service

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    titleUpload and deploy blueprint
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    cfy install -b dl-handler -d dl-handler -i /k8s-dl-handler-inputs.yaml /blueprints/k8s-dl-handler.yaml


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