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Kumaresh C R edited comment on SPARK-21820 at 8/23/17 1:21 PM: --------------------------------------------------------------- [~hyukjin.kwon]: Could you please help us here ?This issue occurs after we moved to "multiLine" as "true" was (Author: crkumaresh24): [~hyukjin.kwon]: Could you please help us here ?This issue after we moved to "multiLine" as "true" > 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: Spark Core > 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