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Posted to issues@spark.apache.org by "Sergey Rubtsov (JIRA)" <ji...@apache.org> on 2017/01/15 15:22:26 UTC
[jira] [Updated] (SPARK-19228) inferSchema function processed csv
date column as string and "dateFormat" DataSource option is ignored
[ https://issues.apache.org/jira/browse/SPARK-19228?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sergey Rubtsov updated SPARK-19228:
-----------------------------------
Description:
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)
{code}
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.
was:
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.
> 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
> Labels: easyfix
> Original Estimate: 6h
> Remaining Estimate: 6h
>
> 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)
> {code}
> 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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