On 2-dec-04, at 3:45, Michael Fuhr wrote:
On Wed, Dec 01, 2004 at 06:57:54AM +0100, Johan Henselmans wrote:Richard Huxton wrote:
I think what's missing here is the explicit statement of which group
these belong in. Without a value to sort/group by, there's nothing for
your queries to "get a grip on".
So - add a "group_id" column to the bank-book and receipt tables. Create
a sequence to generate group id's on demand.
Thanks for the reply. Adding a group_id column would defeat the whole purpose of the relational model. I do not want to add a grouping beforehand.
How is an application going to know which records belong to which groups without a group ID? Or is a group ID acceptable as long as it's not part of the data, but rather generated by the query or function that does the grouping?
The grouping should take place according to certain criteria, in this case: group all the records that have at least one of two attributes in common.
What about chains like this:
bankbookdetid | receiptid ---------------+----------- 100 | 1 100 | 2 101 | 2 101 | 3 102 | 3 102 | 4
Should 1 be grouped with 2, 3, and 4 since 1 has an attribute in common with 2, 2 has an attribute in common with 3, and 3 has an attribute in common with 4? Or doesn't your model permit this situation?
-- Michael Fuhr http://www.fuhr.org/~mfuhr/
That is possible indeed. This was the original situation. The trick I use is that from that collection I select the records of which both attribues have a count > 1. But that leads to the situation that some attributes still appear several times in the resulting set. In the above case the resulting set would be
100 | 2 101 | 2 101 | 3 102 | 3
So the group would end up to be all the records that have 2 and 3 or 100, 101 and 102 as part.
In the mean time, breaking my head about it, I think I have found a solution: from the resuling set I once again select the record attributes that have a common attribute count > 1 (In your example that would be bankbookdetid = 101, and receiptid 2 and 3).
Then we reduce the resulting set to: 101 | 2 101 | 3
Now I can add a group id , which is the attribute of which the count is > 1 (in this case 101), to make sure we don't mix up groupid because bankbookdetid and receiptid might have the same number, so we add 3000000 to receiptid groups, and 400000000 to bankbookdetid groups.
That is the final set, from where one could go back to the previous set (get all the records that have 101 or 2 and 3 in their respective attributes),
that would result in
100 | 2 | 400000101 101 | 2 | 400000101 101 | 3 | 400000101 102 | 3 | 400000101
and from there one would go back to ask all the records that have a part in these records, so you could go back to
---------------+----------- 100 | 1 | 400000101 100 | 2 | 400000101 101 | 2 | 400000101 101 | 3 | 400000101 102 | 3 | 400000101 102 | 4 | 400000101
Now it is possible to group.
What do you think of the idea?
-johan
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