I\'m dealing with a Postgres table (called \"lives\") that contains records with columns for time_stamp, usr_id, transaction_id, and lives_remaining. I need a query that wil
I think you've got one major problem here: there's no monotonically increasing "counter" to guarantee that a given row has happened later in time than another. Take this example:
timestamp lives_remaining user_id trans_id
10:00 4 3 5
10:00 5 3 6
10:00 3 3 1
10:00 2 3 2
You cannot determine from this data which is the most recent entry. Is it the second one or the last one? There is no sort or max() function you can apply to any of this data to give you the correct answer.
Increasing the resolution of the timestamp would be a huge help. Since the database engine serializes requests, with sufficient resolution you can guarantee that no two timestamps will be the same.
Alternatively, use a trans_id that won't roll over for a very, very long time. Having a trans_id that rolls over means you can't tell (for the same timestamp) whether trans_id 6 is more recent than trans_id 1 unless you do some complicated math.