First post - please pardon if I'm posted to the wrong group.
I have a table 'statuslog'
type varchar NOT NULL
id varchar NOT NULL
status varchar
datetime timestamp NOT NULL
Example data
type id status datetime
ASSET 001 AAA 2007-06-08 13:42:00.00
ASSET 002 AAA 2007-06-08 13:42:00.00
ASSET 003 AAA 2007-06-08 13:42:00.00
ASSET 001 BBB 2007-06-08 14:42:00.00
ASSET 001 CCC 2007-06-08 14:52:00.00
ASSET 002 BBB 2007-06-08 13:45:00.00
ASSET 001 DDD 2007-06-08 15:00:00.00
Consider this a log of transitional status changes. I now need to
sumarize time-in-status with grouping on type, id, status.
I can't currently modify the schema to include a second timestamp...
I'm not (yet) well versed in temp tables and cursors, but from what I
have researched and the suggestions from helpful coworkers, this seems
the way to go...?
Any suggestions on how I can build a result set that would return
ASSET 001 AAA 1:00 (1 hour)
ASSET 001 BBB 0:10 (10 minutes)
ASSET 001 CCC 0:08 (8 minutes)
ASSET 001 DDD {difference between timestamp and now()}
ASSET 002 AAA 0:03 (3 minutes)
ASSET 002 BBB {difference detween timestamp and now()}
ASSET 003 AAA{diff between timestamp and now()}
(The time diff can be seconds since epoch, some int, or whatever... in
testing I set up the schema using a second timestamp (the 'in' stamp of
the latter record by type/id became the 'out' stamp of the previous
record) and I simply subtracted the in from the out time in a sum() with
grouping.)
Thanks,
Bob
