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From "Hyukjin Kwon (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-14194) spark csv reader not working properly if CSV content contains CRLF character (newline) in the intermediate cell
Date Tue, 28 Feb 2017 23:08:45 GMT

     [ https://issues.apache.org/jira/browse/SPARK-14194?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Hyukjin Kwon resolved SPARK-14194.
----------------------------------
    Resolution: Duplicate

I proposed to solve this via {{wholeFile}} option and it seems merged. I am resolving this
as a duplicate of that as that one has a PR.

> spark csv reader not working properly if CSV content contains CRLF character (newline)
in the intermediate cell
> ---------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-14194
>                 URL: https://issues.apache.org/jira/browse/SPARK-14194
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.5.2, 2.1.0
>            Reporter: Kumaresh C R
>
> We have CSV content like below,
> Sl.NO, Employee_Name, Company, Address, Country, ZIP_Code\n\r
> "1", "ABCD", "XYZ", "1234", "XZ Street \n\r(CRLF charater), Municapality,....","USA",
"1234567"
> Since there is a '\n\r' character in the row middle (to be exact in the Address Column),
when we execute the below spark code, it tries to create the dataframe with two rows (excluding
header row), which is wrong. Since we have specified delimiter as quote (") character , why
it takes the middle character as newline character ? This creates an issue while processing
the created dataframe.
>  DataFrame df = sqlContextManager.getSqlContext().read().format("com.databricks.spark.csv")
>                     .option("header", "true")
>                     .option("inferSchema", "true")
>                     .option("delimiter", delim)
>                     .option("quote", quote)
>                     .option("escape", escape)
>                     .load(sourceFile);
>    



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