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Posted to issues@spark.apache.org by "Sergey Rubtsov (JIRA)" <ji...@apache.org> on 2017/01/15 15:21:26 UTC

[jira] [Created] (SPARK-19228) inferSchema function processed csv date column as string and "dateFormat" DataSource option is ignored

Sergey Rubtsov created SPARK-19228:
--------------------------------------

             Summary: inferSchema function processed csv date column as string and "dateFormat" DataSource option is ignored
                 Key: SPARK-19228
                 URL: https://issues.apache.org/jira/browse/SPARK-19228
             Project: Spark
          Issue Type: Bug
          Components: Input/Output, SQL
    Affects Versions: 2.1.0
            Reporter: Sergey Rubtsov


I need to process user.csv like this:
{code}
id,project,started,ended
sergey.rubtsov,project0,12/12/2012,10/10/2015
{code}
When I add date format options:
{code}
        Dataset<Row> users = spark.read().format("csv").option("mode", "PERMISSIVE").option("header", "true")
                                .option("inferSchema", "true").option("dateFormat", "dd/MM/yyyy").load("src/main/resources/user.csv");
		users.printSchema();
{code}
expected scheme should be 
{code}
root
 |-- id: string (nullable = true)
 |-- project: string (nullable = true)
 |-- started: date (nullable = true)
 |-- ended: date (nullable = true)
{code}
but the actual result is: 
{code}
root
 |-- id: string (nullable = true)
 |-- project: string (nullable = true)
 |-- started: string (nullable = true)
 |-- ended: string (nullable = true)

This mean that date processed as string and "dateFormat" option is ignored and date processed as string.
If I add option 
{code}
.option("timestampFormat", "dd/MM/yyyy")
{code}
result is: 
{code}
root
 |-- id: string (nullable = true)
 |-- project: string (nullable = true)
 |-- started: timestamp (nullable = true)
 |-- ended: timestamp (nullable = true)
{code}

I think, the issue is somewhere in object CSVInferSchema, function inferField, lines 80-97 and
method "tryParseDate" need to be added before/after "tryParseTimestamp", or date/timestamp process logic need to be changed.



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