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https://issues.apache.org/jira/browse/SPARK-31895?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-31895.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 28711
[https://github.com/apache/spark/pull/28711]
> df.explain("mode") should work in PySpark side as well for consistency
> ----------------------------------------------------------------------
>
> Key: SPARK-31895
> URL: https://issues.apache.org/jira/browse/SPARK-31895
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 3.0.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Fix For: 3.0.0
>
>
> Scala:
> {code}
> scala> spark.range(10).explain("cost")
> == Optimized Logical Plan ==
> Range (0, 10, step=1, splits=Some(12)), Statistics(sizeInBytes=80.0 B)
> == Physical Plan ==
> *(1) Range (0, 10, step=1, splits=12)
> {code}
> PySpark:
> {code}
> >>> spark.range(10).explain("cost")
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "/.../spark/python/pyspark/sql/dataframe.py", line 333, in explain
> raise TypeError(err_msg)
> TypeError: extended (optional) should be provided as bool, got <class 'str'>
> {code}
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