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https://issues.apache.org/jira/browse/SPARK-21820?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16138327#comment-16138327
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Kumaresh C R commented on SPARK-21820:
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@Sean Owen: This is an issue with spark databricks-CSV reading. I could not
find any such option in the filter. Could you please help me what could be the
proper component for this bug ?
> 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
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