2

when i execute

sparkSession.sql("SELECT to_timestamp('2018-08-04.11:18:29 AM', 'yyyy-MM-dd.hh:mm:ss a') as timestamp")

am/pm is missing from the answer

+-------------------+
|          timestamp|
+-------------------+
|2018-08-04 11:18:29|
+-------------------+

but if AM/PM is not present, then it gives the correct answer.

using unix_timestamp

sparkSession.sql("select from_unixtime(unix_timestamp('08-04-2018.11:18:29 AM','dd-MM-yyyy.HH:mm:ss a'), 'dd-MM-yyyy.HH:mm:ss a') as timestamp")

gives the correct answer but the datatype becomes string, whereas my requirement is to convert the datatype to timestamp without data loss.

has anyone has suggestions?

Thanks in advance.

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2 Answers 2

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1

The AM/PM is not missing from the Timestamp datatype. Its just showing the time in 24 hour format. You don't lose any information.

For example,

scala> spark.sql("SELECT to_timestamp('2018-08-04.11:18:29 PM', 'yyyy-MM-dd.hh:mm:ss a') as timestamp").show(false)
+-------------------+
|timestamp          |
+-------------------+
|2018-08-04 23:18:29|
+-------------------+

Whenever you want your timestamp represented with AM/PM, just use a date/time formatter function

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0

Format of the printed representation is fixed (ISO 8601 compliant string in a local timezone) and cannot be modified.

There is no conversion that can help you here, because any that would satisfy the output format, would have to covet data to string.

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