On Thu, Feb 14, 2008 at 2:26 PM, Nathan Biggs <[EMAIL PROTECTED]> wrote: > I was hoping that someone could help me with optimizing this query. > Basically I need to return totals from an large database (> 1million > records in the table). There needs to be two different totals one by > "a" and one by "b" where "a" and "b" could have up to 100 rows each. So > totals for up to 200 distinct total values.
<rest of message snipped> I'm trying to understand your problem, but unfortunately you're being extremely abstract and vague. What are "a" and "b"? Separate columns in your main table? > Query > -------------------------------------- > replace into totals > select 0, 0, a, b, c > from table1 So, 'totals' gets one row for each row in 'table1'? That doesn't make any sense to me. A total is an aggregate sum, so there should only be one row. > --------------------------------------------- > create temp table totals(id integer primary key, cnt integer, a float, b > integer, c integer); > Begin Transaction; > insert into totals values (0, 0, 0.00, 0, 0,); > insert into totals values (1, 0, 0.00, 0, 0,); > insert into totals values (2, 0, 0.00, 0, 0); > etc... total of 500 rows > Commit; Okay, so now I've got: -> 9 different where clauses -> 4 different inserts in your trigger -> 1.3 million rows in the table -> 500 rows in the table You're really going to have to explain your problem in greater detail. -- -- Stevie-O Real programmers use COPY CON PROGRAM.EXE _______________________________________________ sqlite-users mailing list sqlite-users@sqlite.org http://sqlite.org:8080/cgi-bin/mailman/listinfo/sqlite-users
