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Posted to issues@spark.apache.org by "Kumaresh C R (JIRA)" <ji...@apache.org> on 2017/08/23 13:17:00 UTC
[jira] [Updated] (SPARK-21820) csv option "multiLine" as "true" not
parsing windows line feed (CR LF) properly
[ https://issues.apache.org/jira/browse/SPARK-21820?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kumaresh C R updated SPARK-21820:
---------------------------------
Attachment: windows_CRLF.csv
> 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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