[jira] [Commented] (SPARK-28048) pyspark.sql.functions.explode will abondon the row which has a empty list column when applied to the column

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-28048?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16863901#comment-16863901 ] 

Hyukjin Kwon commented on SPARK-28048:
--------------------------------------

of course it's missing because no rows to explode. What output do you expect? I think it works by design

> pyspark.sql.functions.explode will abondon the row which has a empty list column when applied to the column
> -----------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-28048
>                 URL: https://issues.apache.org/jira/browse/SPARK-28048
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.1.1
>            Reporter: Ma Xinmin
>            Priority: Major
>
> {code}
> from pyspark.sql import Row
> from pyspark.sql.functions import explode
> eDF = spark.createDataFrame([Row(a=1, intlist=[1,2], mapfield={"a": "b"}), Row(a=2, intlist=[], mapfield={"a": "b"})])
> eDF = eDF.withColumn('another', explode(eDF.intlist)).collect()
> eDF
> {code}
> The `a=2` row is missing in the output



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