[SPARK-31903][SQL][PYSPARK][2.4] Fix toPandas with Arrow enabled to show metrics in Query UI. #28740
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gengliangwang
approved these changes
Jun 5, 2020
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Test build #123579 has finished for PR 28740 at commit
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HyukjinKwon
approved these changes
Jun 6, 2020
viirya
approved these changes
Jun 6, 2020
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Merged to branch-2.4. |
HyukjinKwon
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Jun 6, 2020
…how metrics in Query UI ### What changes were proposed in this pull request? This is a backport of #28730. In `Dataset.collectAsArrowToPython`, since the code block for `serveToStream` is run in the separate thread, `withAction` finishes as soon as it starts the thread. As a result, it doesn't collect the metrics of the actual action and Query UI shows the plan graph without metrics. We should call `serveToStream` first, then `withAction` in it. ### Why are the changes needed? When calling toPandas, usually Query UI shows each plan node's metric: ```py >>> df = spark.createDataFrame([(1, 10, 'abc'), (2, 20, 'def')], schema=['x', 'y', 'z']) >>> df.toPandas() x y z 0 1 10 abc 1 2 20 def ```  but if Arrow execution is enabled, it shows only plan nodes and the duration is not correct: ```py >>> spark.conf.set('spark.sql.execution.arrow.enabled', True) >>> df.toPandas() x y z 0 1 10 abc 1 2 20 def ```  ### Does this PR introduce _any_ user-facing change? Yes, the Query UI will show the plan with the correct metrics. ### How was this patch tested? I checked it manually in my local.  Closes #28740 from ueshin/issues/SPARK-31903/2.4/to_pandas_with_arrow_query_ui. Authored-by: Takuya UESHIN <ueshin@databricks.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
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cc @holdenk FYI |
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What changes were proposed in this pull request?
This is a backport of #28730.
In
Dataset.collectAsArrowToPython, since the code block forserveToStreamis run in the separate thread,withActionfinishes as soon as it starts the thread. As a result, it doesn't collect the metrics of the actual action and Query UI shows the plan graph without metrics.We should call
serveToStreamfirst, thenwithActionin it.The affected function is:
DataFrame.toPandas()in PySparkWhy are the changes needed?
When calling toPandas, usually Query UI shows each plan node's metric:
but if Arrow execution is enabled, it shows only plan nodes and the duration is not correct:
Does this PR introduce any user-facing change?
Yes, the Query UI will show the plan with the correct metrics.
How was this patch tested?
I checked it manually in my local.