您只需添加
to_timestamp
内置函数如下
val df2resultTimestamp = df.withColumn("FilingDateTime_1", date_format(to_timestamp(col("FilingDateTime_1"), "yyyy-MM-dd'T'HH:mm:ss"), "yyyy-MM-dd'T'HH:mm:ss'Z'"))
.withColumn("StatementDate_1", date_format(to_timestamp(col("StatementDate_1"), "yyyy-MM-dd'T'HH:mm:ss"), "yyyy-MM-dd'T'HH:mm:ss'Z'"))
.withColumn("CapitalChangeAdjustmentDate_1", date_format(to_timestamp(col("CapitalChangeAdjustmentDate_1"), "yyyy-MM-dd'T'HH:mm:ss"), "yyyy-MM-dd'T'HH:mm:ss'Z'"))
.withColumn("CumulativeAdjustmentFactor_1", regexp_replace(format_number($"CumulativeAdjustmentFactor_1".cast(DoubleType), 5), ",", ""))
这将为您提供正确的输出
+---------------------+---------------+--------------------+----------------+------------+-----+-----------+--------------------+---------------------------+-------------------------+-----------------------------+----------------------------+---------------------+-------------------------+----------------------+--------------------------+--------------+------------------------+-------------+---------------+-------------------------+
|Source_organizationId|Source_sourceId|FilingDateTime_1 |SourceTypeCode_1|DocumentId_1|Dcn_1|DocFormat_1|StatementDate_1 |IsFilingDateTimeEstimated_1|ContainsPreliminaryData_1|CapitalChangeAdjustmentDate_1|CumulativeAdjustmentFactor_1|ContainsRestatement_1|FilingDateTimeUTCOffset_1|ThirdPartySourceCode_1|ThirdPartySourcePriority_1|SourceTypeId_1|ThirdPartySourceCodeId_1|FFAction|!|_1|DataPartition_1|TimeStamp |
+---------------------+---------------+--------------------+----------------+------------+-----+-----------+--------------------+---------------------------+-------------------------+-----------------------------+----------------------------+---------------------+-------------------------+----------------------+--------------------------+--------------+------------------------+-------------+---------------+-------------------------+
|4295876589 |1 |1977-02-14T03:00:00Z|YUH |null |null |null |1976-12-31T00:00:00Z|true |false |1976-12-31T00:00:00Z |0.82457 |false |540 |SS |1 |3013057 |1000716240 |I|!| |Japan |2018-05-03T07:03:27+00:00|
|4295876589 |8 |1984-02-14T03:00:00Z|YUH |null |null |null |1983-12-31T00:00:00Z|true |false |1983-12-31T00:00:00Z |0.82457 |false |540 |SS |1 |3013057 |1000716240 |I|!| |Japan |2018-05-03T09:46:58+00:00|
|4295876589 |1 |1977-02-14T03:00:00Z|YUH |null |null |null |1976-12-31T00:00:00Z|true |false |1976-12-31T00:00:00Z |0.82457 |false |540 |SS |1 |3013057 |1000716240 |I|!| |Japan |2018-05-03T07:30:16+00:00|
+---------------------+---------------+--------------------+----------------+------------+-----+-----------+--------------------+---------------------------+-------------------------+-----------------------------+----------------------------+---------------------+-------------------------+----------------------+--------------------------+--------------+------------------------+-------------+---------------+-------------------------+