[ 
https://issues.apache.org/jira/browse/SPARK-21820?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16138405#comment-16138405
 ] 

Kumaresh C R edited comment on SPARK-21820 at 8/23/17 2:13 PM:
---------------------------------------------------------------

[~hyukjin.kwon]: Sounds great.. We will wait for your proposal 
https://github.com/apache/spark/pull/18581to be merged. 
Thanks a lot :)


was (Author: crkumaresh24):
[~hyukjin.kwon]: Sound great.. We will wait for your proposal 
https://github.com/apache/spark/pull/18581to be merged. 
Thanks a lot :)

> csv option "multiLine" as "true" not parsing windows line feed (CR LF) 
> properly
> -------------------------------------------------------------------------------
>
>                 Key: SPARK-21820
>                 URL: https://issues.apache.org/jira/browse/SPARK-21820
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Kumaresh C R
>              Labels: features
>         Attachments: windows_CRLF.csv
>
>
> With multiLine=true, windows CR LF is not getting parsed properly. If i make 
> multiLine=false, it parses properly. Could you please help here ?
> Attached the CSV used in the below commands for your reference.
> scala> val csvFile = 
> spark.read.format("com.databricks.spark.csv").option("header", 
> "true").option("inferSchema", "true").option("parserLib", 
> "univocity").load("/home/kumar/Desktop/windows_CRLF.csv");
> csvFile: org.apache.spark.sql.DataFrame = [Sales_Dollars: int, Created_Date: 
> string ... 1 more field]
> scala> csvFile.schema.fieldNames
> res0: Array[String] = Array(Sales_Dollars, Created_Date, Order_Delivered)
> scala> val csvFile = 
> spark.read.format("com.databricks.spark.csv").option("header", 
> "true").option("inferSchema", "true").option("parserLib", 
> "univocity").option("multiLine","true").load("/home/kumar/Desktop/windows_CRLF.csv");
> csvFile: org.apache.spark.sql.DataFrame = [Sales_Dollars: int, Created_Date: 
> string ... 1 more field]
> scala> csvFile.schema.fieldNames
> ")s1: Array[String] = Array(Sales_Dollars, Created_Date, "Order_Delivered



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to