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https://issues.apache.org/jira/browse/SPARK-41824?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17655434#comment-17655434
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jiaan.geng commented on SPARK-41824:
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I found scala API Dataset.explain print the same output as connect.dataframe.
{code:java}
== Physical Plan ==
*(1) Project [_1#x AS age#x, _2#x AS name#x]
+- *(1) LocalTableScan [_1#x, _2#x]
{code}
> Implement DataFrame.explain format to be similar to PySpark
> -----------------------------------------------------------
>
> Key: SPARK-41824
> URL: https://issues.apache.org/jira/browse/SPARK-41824
> Project: Spark
> Issue Type: Sub-task
> Components: Connect
> Affects Versions: 3.4.0
> Reporter: Sandeep Singh
> Priority: Major
>
> {code:java}
> df = spark.createDataFrame([(14, "Tom"), (23, "Alice"), (16, "Bob")], ["age",
> "name"])
> df.explain()
> df.explain(True)
> df.explain(mode="formatted")
> df.explain("cost"){code}
> {code:java}
> File
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py",
> line 1296, in pyspark.sql.connect.dataframe.DataFrame.explain
> Failed example:
> df.explain()
> Expected:
> == Physical Plan ==
> *(1) Scan ExistingRDD[age...,name...]
> Got:
> == Physical Plan ==
> LocalTableScan [age#1148L, name#1149]
> <BLANKLINE>
> <BLANKLINE>
> **********************************************************************
> File
> "/Users/s.singh/personal/spark-oss/python/pyspark/sql/connect/dataframe.py",
> line 1314, in pyspark.sql.connect.dataframe.DataFrame.explain
> Failed example:
> df.explain(mode="formatted")
> Expected:
> == Physical Plan ==
> * Scan ExistingRDD (...)
> (1) Scan ExistingRDD [codegen id : ...]
> Output [2]: [age..., name...]
> ...
> Got:
> == Physical Plan ==
> LocalTableScan (1)
> <BLANKLINE>
> <BLANKLINE>
> (1) LocalTableScan
> Output [2]: [age#1170L, name#1171]
> Arguments: [age#1170L, name#1171]
> <BLANKLINE>
> <BLANKLINE>{code}
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