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Posted to issues@spark.apache.org by "anju (Jira)" <ji...@apache.org> on 2021/07/23 20:33:00 UTC

[jira] [Updated] (SPARK-36277) Issue with record count of data frame while reading in DropMalformed mode

     [ https://issues.apache.org/jira/browse/SPARK-36277?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

anju updated SPARK-36277:
-------------------------
    Summary: Issue with record count of data frame while reading in DropMalformed mode  (was: Issue record count of data frame while reading in DropMalformed mode)

> Issue with record count of data frame while reading in DropMalformed mode
> -------------------------------------------------------------------------
>
>                 Key: SPARK-36277
>                 URL: https://issues.apache.org/jira/browse/SPARK-36277
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 2.4.3
>            Reporter: anju
>            Priority: Major
>
>  I am trying to read the two dataframes from one file using with/without predefined schema. Issue is when i read a DF with a predefined schema and with mode as "dropmalformed", the record count in  df is not dropping the records. The record count is same as actual file where i am expecting less record count,as there are few malformed records . But when i try to select and display the records in df ,it is not showing malformed records. So display is correct.
> !image-2021-07-23-16-31-46-172.png!



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