Hi
I have a situation that I need flexible number
columns to model the business requirements. It could go up to 1000 columns and
will be a sparse matrix. One option I was considering was to have a table with
col1......col1000
Other option I can consider is store all of them
as name values in single column as a string
option 1
col1 | col2 |col 3
|........|col56|.....|col77|
10 | 2
| | |
4 | | |
2
| |
4 |
| |.... |6 |
option 2
"col1=10,col2=2,col56=4"
"col1=2,col3=4,col77=6"
I will have about 50Million such records in a
table.
I need to aggregate the column values for a given
day by taking sum of all the rows
"col1=12,col2=2,col3=4,col56=4,col77=6"
Second option looks very elegant but aggregation
is hard
Besides, second option may have performance
penalty (Especially when you have 50 Million records)
Any one can give any pointers or comments on how
to model this an how to aggregate it?
Thanks
Dilip
|
- Re: [HACKERS] Aggregation question Dilip Angal
- Re: [HACKERS] Aggregation question Bruno Wolff III
- Re: [HACKERS] Aggregation question Hans-Jürgen Schönig
- Re: [HACKERS] Aggregation question Oleg Bartunov