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https://issues.apache.org/jira/browse/SPARK-59136?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-59136:
-----------------------------------
    Labels: pull-request-available  (was: )

> Make the active Spark Connect client identifiable (pyspark-client-rust vs the 
> reference client)
> -----------------------------------------------------------------------------------------------
>
>                 Key: SPARK-59136
>                 URL: https://issues.apache.org/jira/browse/SPARK-59136
>             Project: Spark
>          Issue Type: Improvement
>          Components: Connect
>    Affects Versions: 5.0.0
>            Reporter: Hyukjin Kwon
>            Priority: Major
>              Labels: pull-request-available
>
> Alongside the Rust Spark Connect client, pyspark-client-rust installs the 
> same pyspark API surface backed by the native Rust engine (tonic). Because it 
> installs under the `pyspark` import name as a drop-in for the reference 
> pyspark-client, it should be easy to tell -- at runtime and on PyPI -- which 
> client is in use, so behavior and bug reports are attributed to the right 
> project.
> This adds:
> - Runtime identity markers: pyspark.__rust_client__ (True) and 
> pyspark.__engine__ ("rust").
> - A one-time INFO log on first session connect identifying the Rust-backed 
> client.
> - A "Which client am I using?" docs page (pyspark vs pyspark-client vs 
> pyspark-client-rust, how to tell them apart, where to file issues, server 
> compatibility), linked from the docs home and the Compatibility page.
> - Sharpened PyPI metadata (description, keywords, Documentation URL).
> Follow-up from the dev@ discussion on the Python wrapper of the Rust Connect 
> client.



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