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https://issues.apache.org/jira/browse/SPARK-19228?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon updated SPARK-19228:
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Labels: (was: easyfix)
> 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
> Priority: Major
> Original Estimate: 6h
> Remaining Estimate: 6h
>
> Current FastDateFormat parser can't properly parse date and timestamp and
> does not meet the ISO8601.
> For example, I need to process user.csv like this:
> {code:java}
> id,project,started,ended
> sergey.rubtsov,project0,12/12/2012,10/10/2015
> {code}
> When I add date format options:
> {code:java}
> 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:java}
> root
> |-- id: string (nullable = true)
> |-- project: string (nullable = true)
> |-- started: date (nullable = true)
> |-- ended: date (nullable = true)
> {code}
> but the actual result is:
> {code:java}
> root
> |-- id: string (nullable = true)
> |-- project: string (nullable = true)
> |-- started: string (nullable = true)
> |-- ended: string (nullable = true)
> {code}
> This mean that date processed as string and "dateFormat" option is ignored.
> If I add option
> {code:java}
> .option("timestampFormat", "dd/MM/yyyy")
> {code}
> result is:
> {code:java}
> root
> |-- id: string (nullable = true)
> |-- project: string (nullable = true)
> |-- started: timestamp (nullable = true)
> |-- ended: timestamp (nullable = true)
> {code}
>
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