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https://issues.apache.org/jira/browse/AIRFLOW-6778?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17075569#comment-17075569
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ASF GitHub Bot commented on AIRFLOW-6778:
-----------------------------------------
brandonwillard commented on pull request #8147: [AIRFLOW-6778] Add a
configurable DAGs volume mount path for Kubernetes
URL: https://github.com/apache/airflow/pull/8147
This PR introduces a new config option, `kubernetes.extra_volume_mounts`,
that allows users to specify multiple Kubernetes volumes to be mounted in each
generated worker pod.
This PR is replacing #7423 (moved to my personal fork).
---
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> Add a DAGs PVC Mount Point Option for Workers under Kubernetes Executor
> -----------------------------------------------------------------------
>
> Key: AIRFLOW-6778
> URL: https://issues.apache.org/jira/browse/AIRFLOW-6778
> Project: Apache Airflow
> Issue Type: Improvement
> Components: executor-kubernetes, worker
> Affects Versions: 1.10.6, 1.10.7, 1.10.8, 1.10.9
> Reporter: Brandon Willard
> Assignee: Daniel Imberman
> Priority: Blocker
> Labels: kubernetes, options
>
> The worker pods generated by the Kubernetes Executor force the DAGs PVC to be
> mounted at the Airflow DAGs folder. This, combined with a general inability
> to specify arbitrary PVCs on workers (see AIRFLOW-3126 and the
> linked/duplicated issues), severely constrains the usability of worker pods
> and the Kubernetes Executor as a whole.
>
> For example, if a DAGs-containing PVC is rooted at a Python package (e.g.
> {{package/}}) that needs to be installed on each worker (e.g. DAGs in
> {{package/dags/}}, package install point at {{package/setup.py}}, and Airflow
> DAGs location {{/airflow/dags}}), then the current static mount point logic
> will only allow a worker to directly mount the entire package into the
> Airflow DAGs location — while the actual DAGs are in a subdirectory — or
> exclusively mount the package's sub-path {{package/dags}} (using the existing
> {{kubernetes.dags_volume_subpath}} config option). While the latter is at
> least correct, it completely foregoes the required parent directory and it
> makes the requisite package unavailable for installation (e.g. the files
> under {{package/}} are not available).
>
> -In general, the only approach that seems to work for the Kubernetes Executor
> is to specify a worker image with all DAG dependencies pre-loaded, which
> largely voids the usefulness of a single DAGs PVC that can be dynamically
> updated. At best, one can include a {{requirements.txt}} in the PVC and use
> it in tandem with an entry-point script built into the image, but that still
> doesn't help with source installations of custom packages stored and updated
> in a PVC.-
> Edit: This isn't even possible, because worker pods are created using [the
> {{command}} field instead of
> {{args}}|https://kubernetes.io/docs/tasks/inject-data-application/define-command-argument-container/#notes]!
>
> A quick fix for this situation is to allow one to specify the DAGs PVC mount
> point. With this option, one can mount the PVC anywhere and specify an
> Airflow DAGs location that works in conjunction with the mount point (e.g.
> mount the PVC at {{/airflow/package}} and independently set the Airflow DAGs
> location to {{/airflow/package/dags}}). This option would — in many cases —
> obviate the need for the marginally useful {{kubernetes.dags_volume_subpath}}
> options, as well.
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