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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/07/24 02:20:00 UTC
[jira] [Commented] (SPARK-31525) Inconsistent result of df.head(1)
and df.head()
[ https://issues.apache.org/jira/browse/SPARK-31525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17164084#comment-17164084 ]
Apache Spark commented on SPARK-31525:
--------------------------------------
User 'tianshizz' has created a pull request for this issue:
https://github.com/apache/spark/pull/29214
> Inconsistent result of df.head(1) and df.head()
> -----------------------------------------------
>
> Key: SPARK-31525
> URL: https://issues.apache.org/jira/browse/SPARK-31525
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 2.4.6, 3.0.0
> Reporter: Joshua Hendinata
> Priority: Minor
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> In this line [https://github.com/apache/spark/blob/master/python/pyspark/sql/dataframe.py#L1339], if you are calling `df.head()` and dataframe is empty, it will return *None*
> but if you are calling `df.head(1)` and dataframe is empty, it will return *empty list* instead.
> This particular behaviour is not consistent and can create confusion. Especially when you are calling `len(df.head())` which will throw an exception for empty dataframe
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