[ https://issues.apache.org/jira/browse/SPARK-36277?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
anju updated SPARK-36277: ------------------------- Attachment: 111.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! -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org