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https://issues.apache.org/jira/browse/SPARK-61118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61118.
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Resolution: Fixed
Issue resolved by pull request 313
[https://github.com/apache/spark-connect-rust/pull/313]
> Add the CLI modules of pyspark.pipelines, and the user context extensions of
> the client, in the Python client as PySpark has them
> ---------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61118
> URL: https://issues.apache.org/jira/browse/SPARK-61118
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> The {{pyspark-client}} package of Apache Spark v4.3.0 ships the CLI of Spark
> Declarative Pipelines: {{pyspark.pipelines.cli}} ({{spark-pipelines run}},
> {{dry-run}} and {{init}}), {{init_cli}}, {{add_pipeline_analysis_context}}
> and {{block_session_mutations}}. The Python client lacks these modules, and
> importing them raises {{ModuleNotFoundError}}.
> {{add_pipeline_analysis_context}} adds a user context extension to the
> requests of a thread
> ({{SparkConnectClient.add_threadlocal_user_context_extension}} and
> {{remove_user_context_extension}}), which the Rust transport needs to send.
> The fix is to vendor these modules, with their official tests, from Apache
> Spark v4.3.0, and to add the user context extensions to the client:
> {{add_threadlocal_user_context_extension}},
> {{add_global_user_context_extension}}, {{remove_user_context_extension}},
> {{clear_user_context_extensions}}, {{thread_local}} and
> {{global_user_context_extensions}}, which the Rust transport sends with the
> requests of executions, analyses, configurations, error details and
> interrupts, as PySpark's {{SparkConnectClient}} does.
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