[jira] [Resolved] (SPARK-17040) cannot read null dates from csv file

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17040?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-17040.
-------------------------------
    Resolution: Duplicate

> cannot read null dates from csv file
> ------------------------------------
>
>                 Key: SPARK-17040
>                 URL: https://issues.apache.org/jira/browse/SPARK-17040
>             Project: Spark
>          Issue Type: Bug
>          Components: Input/Output
>    Affects Versions: 2.0.0
>            Reporter: Barry Becker
>
> I see this exact same bug as reported in this [stack overflow post|http://stackoverflow.com/questions/38265640/spark-2-0-pre-csv-parsing-error-if-missing-values-in-date-column]  using Spark 2.0.0 (released version).
> In scala, I read a csv using 
> sqlContext.read
>           .format("csv")
>           .option("header", "false")
>           .option("inferSchema", "false") 
>           .option("nullValue", "?")
>           .schema(dfSchema)
>           .csv(dataFile)
> The data contains some null dates (represented with ?).
> The error I get is:
> {code}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 8.0 failed 1 times, most recent failure: Lost task 0.0 in stage 8.0 (TID 10, localhost): java.text.ParseException: Unparseable date: "?"
> {code}



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