[
https://issues.apache.org/jira/browse/SPARK-20152?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Navya Krishnappa updated SPARK-20152:
-------------------------------------
Description:
When reading the below mentioned time value by specifying the
"timestampFormat": "MM-dd-yyyy'T'HH:mm:ss.SSSZZ", time zone is ignored.
Source File:
TimeColumn
03-21-2017T03:30:02Z
Source code:
Dataset dataset = getSqlContext().read()
.option(DAWBConstant.PARSER_LIB, "commons")
.option(INFER_SCHEMA, "true")
.option(DAWBConstant.DELIMITER, ",")
.option(DAWBConstant.QUOTE, "\"")
.option(DAWBConstant.ESCAPE, "\\")
.option("timestampFormat" , "MM-dd-yyyy'T'HH:mm:ss.SSSZZ")
.option(DAWBConstant.MODE, Mode.PERMISSIVE)
.csv(sourceFile);
Result: TimeColumn [ StringType] and value is "03-21-2017T03:30:02Z", but
expected result is TimeCoumn should be of "TimestampType" and should consider
time zone for manipulation
was:
When reading the below mentioned time value by specifying the
"timestampFormat": "MM-dd-yyyy'T'HH:mm:ss.SSSZZ", time zone is ignored.
Source File:
TimeColumn
03-21-2017T03:30:02Z
Source code1:
Dataset dataset = getSqlContext().read()
.option(DAWBConstant.PARSER_LIB, "commons")
.option(INFER_SCHEMA, "true")
.option(DAWBConstant.DELIMITER, ",")
.option(DAWBConstant.QUOTE, "\"")
.option(DAWBConstant.ESCAPE, "\\")
.option("timestampFormat" , "MM-dd-yyyy'T'HH:mm:ss.SSSZZ")
.option(DAWBConstant.MODE, Mode.PERMISSIVE)
.csv(sourceFile);
Result: TimeColumn [ StringType] and value is "03-21-2017T03:30:02Z", but
expected result is TimeCoumn should be of "TimestampType" and should consider
time zone for manipulation
Source code2:
Dataset dataset = getSqlContext().read()
.option(DAWBConstant.PARSER_LIB, "commons")
.option(INFER_SCHEMA, "true")
.option(DAWBConstant.DELIMITER, ",")
.option(DAWBConstant.QUOTE, "\"")
.option(DAWBConstant.ESCAPE, "\\")
.option("timestampFormat" , "MM-dd-yyyy'T'HH:mm:ss")
.option(DAWBConstant.MODE, Mode.PERMISSIVE)
.csv(sourceFile);
Result: TimeColumn [ TimestampType] and value is "2017-04-22 03:30:02.0", but
expected result is TimeCoumn should consider time zone for manipulation
> Time zone is not respected while parsing csv for timeStampFormat
> "MM-dd-yyyy'T'HH:mm:ss.SSSZZ"
> ----------------------------------------------------------------------------------------------
>
> Key: SPARK-20152
> URL: https://issues.apache.org/jira/browse/SPARK-20152
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Navya Krishnappa
>
> When reading the below mentioned time value by specifying the
> "timestampFormat": "MM-dd-yyyy'T'HH:mm:ss.SSSZZ", time zone is ignored.
> Source File:
> TimeColumn
> 03-21-2017T03:30:02Z
> Source code:
> Dataset dataset = getSqlContext().read()
> .option(DAWBConstant.PARSER_LIB, "commons")
> .option(INFER_SCHEMA, "true")
> .option(DAWBConstant.DELIMITER, ",")
> .option(DAWBConstant.QUOTE, "\"")
> .option(DAWBConstant.ESCAPE, "\\")
> .option("timestampFormat" , "MM-dd-yyyy'T'HH:mm:ss.SSSZZ")
> .option(DAWBConstant.MODE, Mode.PERMISSIVE)
> .csv(sourceFile);
> Result: TimeColumn [ StringType] and value is "03-21-2017T03:30:02Z", but
> expected result is TimeCoumn should be of "TimestampType" and should
> consider time zone for manipulation
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