You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/06/03 01:19:00 UTC
[jira] [Commented] (SPARK-31895) df.explain("mode") should work in
PySpark side as well for consistency
[ https://issues.apache.org/jira/browse/SPARK-31895?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17124494#comment-17124494 ]
Apache Spark commented on SPARK-31895:
--------------------------------------
User 'HyukjinKwon' has created a pull request for this issue:
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
> Priority: Major
>
> 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}
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org