I have a table that contains computer login and logoff events. Each row is a separate event with a timestamp, machine name, login or logoff event code and other details. I need to create a SQL procedure that goes through this table and locates corresponding login and logoff event and insert new rows into another table that contain the machine name, login time, logout time and duration time.
So, should I use a cursor to do this or is there a better way to go about this? The database is pretty huge so efficiency is certainly a concern. Any suggested pseudo code would be great as well.
[edit : pulled from comment]
Source table:
History (
mc_id
, hs_opcode
, hs_time
)
Existing data interpretation:
Login_Event = unique mc_id, hs_opcode = 1, and hs_time is the timestamp
Logout_Event = unique mc_id, hs_opcode = 2, and hs_time is the timestamp
First, your query will be simpler (and faster) if you can order the data in such a way that you don’t need a complex subquery to pair up the rows. Since MySQL doesn’t support CTE to do this on-the-fly, you’ll need to create a temporary table:
Then, pull and sort from your original table into the new table:
You can now use this query to correlate the data:
For future inserts, you can use a trigger like below to keep your duration table updated automatically: