- Subscribe to RSS Feed
- Mark as New
- Mark as Read
- Bookmark
- Subscribe
- Printer Friendly Page
- Report Inappropriate Content
Created on 10-03-2022 09:34 PM - edited 10-04-2022 12:12 AM
In case customer wants to install CDV on top of their CDSW environment but they have an air gapped cluster and they are not able to connect to internet to install CDV, we can use below steps to install it.
1. If customer has some Dev environment with access to internet, they can enable Cloudera data visualisation there using below guide.
https://docs.cloudera.com/data-visualization/7/start-cdsw/topics/viz-add-engine-cdsw-runtime.html
In case there is no internet access at all for Dev, Prod cluster of CDSW, Cloudera can be contacted and they can share the latest image for your current version.
2. If you have Dev. CDSW environment with CDV running, please identify the name of image from Engine Image section in CDV and check the running images by running below command in CDSW node.
$ docker images
3. We need to save the full image (not the runtime image) to a docker file so that it can be copied over to the destination CDSW cluster.
sudo docker save -o <cdv_image_name>.docker cdv_image_transfer
4. We can copy the image over to the secure cluster using below commands, or manually copy it via usb etc. Then load the image in all gateway hosts.
* Distribute the image to all the Cloudera Data Science Workbench gateway hosts. scp ./<new_customized_engine>.tar root@<cdsw.your_company.com>:/tmp/ Load the image on all the Cloudera Data Science Workbench gateway hosts. docker load --input /tmp/./<new_customized_engine>.tar To verify that the image was successfully distributed and loaded, run: docker images
5. Once verified that the image is present via docker images command, we can then proceed with selecting/adding the image in Legacy engine. Use below guide link,
https://docs.cloudera.com/data-visualization/6/start-cdsw/topics/viz-add-engine-cdsw.html
6. Test that the image is working by trying to create an application in CDV and see if we can see /opt/vizapps/tools/arcviz/startup_app.py created.
During this process, I had tested copying runtime image from lab to customer's environment and it did not work. Also we need to copy image over from same CDSW version to avoid any issues of compatibility.