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https://issues.apache.org/jira/browse/SPARK-61085?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-61085:
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Labels: pull-request-available (was: )
> Collect the results of the UDF profilers, and show them with spark.profile,
> in the Python client as PySpark does
> ----------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61085
> URL: https://issues.apache.org/jira/browse/SPARK-61085
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> In PySpark Connect, {{spark.profile}} is a {{pyspark.sql.profiler.Profile}}
> of a {{ConnectProfilerCollector}}, which collects the results of the UDF
> profilers ({{spark.sql.pyspark.udf.profiler}} of "perf" or "memory"): the
> server sends them in the {{__python_accumulator__}} observed metrics of an
> execution, and {{spark.profile.show()}}, {{dump}}, {{render}} and {{clear}}
> show, write and clear them.
> The Rust-backed Python client returns a {{ProfilerCollector}} of its own from
> {{spark.profile}}, which collects nothing, and whose {{show}} returns "No
> profile data collected" and {{dump(path)}} raises a {{TypeError}}. Collect
> and show the profiles as PySpark does.
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