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https://issues.apache.org/jira/browse/SPARK-52511?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sandy Ryza resolved SPARK-52511.
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Fix Version/s: 4.1.0
Resolution: Fixed
Issue resolved by pull request 51489
[https://github.com/apache/spark/pull/51489]
> 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
> Assignee: Sandy Ryza
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.1.0
>
>
> 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.
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