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https://issues.apache.org/jira/browse/SPARK-36277?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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anju updated SPARK-36277:
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Description:
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.
output is attached in the atatchement
!image-2021-07-23-16-31-46-172.png!
was:
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!
> 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
> Attachments: 111.PNG
>
>
> 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. output is attached in the atatchement
> !image-2021-07-23-16-31-46-172.png!
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