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Posted to issues@spark.apache.org by "Kumaresh C R (JIRA)" <ji...@apache.org> on 2017/08/23 13:16:00 UTC

[jira] [Created] (SPARK-21820) csv option "multiLine" as "true" not parsing windows line feed (CR LF) properly

Kumaresh C R created SPARK-21820:
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             Summary: 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


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





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