[jira] [Commented] (BEAM-11152) publish guide or scripts to build Beam SDK harness container from an existing container image

["Anand Inguva (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BEAM-11152?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17486818#comment-17486818 ] 

Anand Inguva commented on BEAM-11152:
-------------------------------------

You can find relevant details in how to use custom base image that works with the dataflow workers here.

[https://cloud.google.com/dataflow/docs/guides/using-custom-containers#using_a_custom_base_image_or_multi-stage_builds]

Note: The entry point of the image should be */opt/apache/beam/boot* and needs to follow the instructions on the above link. The entry point MUST be set. If not,  spinning up the dataflow workers with your image as base image would fail. 

 

> publish guide or scripts to build Beam SDK harness container from an existing container image
> ---------------------------------------------------------------------------------------------
>
>                 Key: BEAM-11152
>                 URL: https://issues.apache.org/jira/browse/BEAM-11152
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-harness
>            Reporter: Zhitao Li
>            Priority: P3
>
> The current image building doc in [https://beam.apache.org/documentation/runtime/environments/#customizing-container-images] only provides paths of modifying existing Dockerfile or extending the image path.
>  
> It might be the case that certain large enterprise users have their own "blessed" base images which are widely extended within their company, and teams might want to adapt these images to fit into Dataflow workers. Publishing guidelines on this path might be helpful.
>  
> Even better, if a python equipped container images installs `apache-beam` (or an extra dependency) python package, it should be possible to be used as a container image.



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