[
https://issues.apache.org/jira/browse/SPARK-52511?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-52511:
-----------------------------------
Labels: pull-request-available (was: )
> Support "dry-run" in the spark-pipelines CLI
> --------------------------------------------
>
> Key: SPARK-52511
> URL: https://issues.apache.org/jira/browse/SPARK-52511
> Project: Spark
> Issue Type: Improvement
> Components: Declarative Pipelines
> Affects Versions: 4.1.0
> Reporter: Sandy Ryza
> Priority: Major
> Labels: pull-request-available
>
> We should add support for a `dry-run` command in the `spark-pipelines` CLI:
>
> ```
> spark-pipelines dry-run
> ```
>
> This should perform graph resolution and analysis, but no metadata
> materialization or graph execution. I.e. it should invoke
> `DataflowGraph.resolve().validate()`, and stream any errors back to the
> client.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
