I have a string '20141014123456789' which represents a timestamp with milliseconds that I need to convert to a timestamp in Hive (0.13.0) without losing the milliseconds.
I tried this but unix_timestamp returns an integer, so I lose the milliseconds:
from_unixtime(unix_timestamp('20141014123456789', 'yyyyMMddHHmmssSSS')) >> 2014-10-14 12:34:56
Casting a string works:
cast('2014-10-14 12:34:56.789' as timestamp) >> 2014-10-14 12:34:56.789
but my string isn't in that form.
I think I need to reformat my string from '20141014123456789' to '2014-10-14 12:34:56.789'. My challenge is how to do that without a messy concatenation of substrings.
i had the date field in this form 2015-07-22T09:00:32.956443Z(stored as string). i needed to do some date manipulations. the following command even though little messy worked fine for me:)
this looks confusing but it is quite easy if you break it down. extracting the date and time with milliseconds and concat a space in between and then concat the whole thing and casting it into timestamp. now this can be used for date or timestamp manipulations.
A simple strategy would be to use
date_format(arg1, arg2)
, wherearg1
is the timestamp either as formatted string, date, or timestamp and thearg2
is the format of the string (inarg1
). Refer to theSimpleDateFormat
java documentation for what is acceptable in the format argument.So, in this case:
would yield the following string:
'2014-10-14 12:34:56.789'
which can then be cast as timestamp:The above statement would return timestamp (as desired).
I don't think this can be done without being messy. Because according to the unix_timestamp() function documentation it returns the time is seconds and hence will omit the milliseconds part.
"Convert time string with given pattern to Unix time stamp (in seconds), return 0 if fail: unix_timestamp('2009-03-20', 'yyyy-MM-dd') = 1237532400."
Best option here would be to write a UDF to handle this is you want to avoid messy concatenations. However the concatenation (though messy) would be better to the job.
I found a way to avoid the messy concatenation of substrings using the following code: