[jira] [Issue Comment Deleted] (SPARK-15174) DataFrame does not have correct number of rows after dropDuplicates

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

     [ https://issues.apache.org/jira/browse/SPARK-15174?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

hujiayin updated SPARK-15174:
-----------------------------
    Comment: was deleted

(was: I could fix it.)

> DataFrame does not have correct number of rows after dropDuplicates
> -------------------------------------------------------------------
>
>                 Key: SPARK-15174
>                 URL: https://issues.apache.org/jira/browse/SPARK-15174
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.1
>            Reporter: Ian Hellstrom
>
> If you read an empty file/folder with the {{SQLContext.read()}} function and call {{DataFrame.dropDuplicates()}}, the number of rows is incorrect.
> {code}
> val input = "hdfs:///some/empty/directory"
> val df1 = sqlContext.read.json(input)
> val df2 = sqlContext.read.json(input).dropDuplicates
> df1.count == 0 // true
> df1.rdd.isEmpty // true
> df2.count == 0 // false: it's actually reported as 1
> df2.rdd.isEmpty // false
> {code}



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