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Posted to issues@spark.apache.org by "Sandeep Singh (Jira)" <ji...@apache.org> on 2023/01/02 17:14:00 UTC
[jira] [Created] (SPARK-41825) DataFrame.show formating int as double
Sandeep Singh created SPARK-41825:
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Summary: DataFrame.show formating int as double
Key: SPARK-41825
URL: https://issues.apache.org/jira/browse/SPARK-41825
Project: Spark
Issue Type: Sub-task
Components: Connect
Affects Versions: 3.4.0
Reporter: Sandeep Singh
{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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