Not sure if you got a reply yet, but if you have keys like:
> [2010, 11, 28, "fb45ffc66ad8f4f299f0bd06a3000903"] 10 <--- player 1
> [2010, 11, 26, "fb45ffc66ad8f4f299f0bd06a3001c32"] 35 <--- player 2
> [2010, 11, 26, "fb45ffc66ad8f4f299f0bd06a3000ccf"] 55 <--- player 3
> [2010, 11, 26, "fb45ffc66ad8f4f299f0bd06a3000903"] 75 <--- player 1 (again)
Can't you just aggregate over users for a given date range via (bash escaping):
GET '...?startkey=\[2010,11,28\]&endkey=\[2010,11,24\]&group_level=3'
Also, you'll get better performance by swapping your reduce function for the
simple builtin '_sum'. That is, just literally replace your js code with
'_sum'.
-M
On Dec 29, 2010, at 7:10 AM, Warner Onstine wrote:
> Hi all, I've been trying to figure out the best way to implement this
> particular view/reduce and have been having some issues.
>
> Let me explain the structure a bit and what I've done.
>
> I have a set of documents for storing a player's assignment completion
> which contains a point value. I want to query for a given date range
> for those completions and aggregate the points values. Here is the
> view and the reduce I came up with :
>
> map:
> function(doc) {
> if (doc.type == 'playerassignmentcompletion' && doc.approved == true) {
> var completionDate = new Date(doc.completionDate);
> var completionYear = completionDate.getFullYear();
> var completionMonth = completionDate.getMonth();
> var completionDay = completionDate.getDate();
> emit([
> completionYear,
> completionMonth,
> completionDay,
> doc.playerId
> ], doc.pointsEarned);
> }
> }
>
> reduce:
> function(keys, values, rereduce) {
> return sum(values);
> }
>
> And then I say group=true
>
> I didn't realize my issue at the time because all of the completions I
> had were for a given date. Now, I added a completion for a different
> date and what happens is this kind of result:
> [2010, 11, 28, "fb45ffc66ad8f4f299f0bd06a3000903"] 10 <--- player 1
> [2010, 11, 26, "fb45ffc66ad8f4f299f0bd06a3001c32"] 35 <--- player 2
> [2010, 11, 26, "fb45ffc66ad8f4f299f0bd06a3000ccf"] 55 <--- player 3
> [2010, 11, 26, "fb45ffc66ad8f4f299f0bd06a3000903"] 75 <--- player 1 (again)
>
> What I want is to combine all the player's total scores, but with my
> group=true, it is matching each of my keys exactly. I understand why
> it's doing it, just not how to fix my key/query to work the way I want
> it to.
>
> One thought I had was to move the id column up to the front so that I
> could do group_level=1. But I don't know how to specify a wildcard
> parameter so that I get all the documents with any key and just the
> particular date range I want.
>
> Hopefully this is clear enough. I can share more information if it's
> necessary (just don't want to bog the list down with too many
> attachments).
>
> Thanks, it is greatly appreciated!
>
> -warner
