Dear David,
> I desire that value to be split out by base and bonus points.
Then you’ll need an array as the key: a first member for the selection and a
second one for the grouping.
MAP :
function(o) {
emit( [o.label, "base"] , o.basePoints);
emit( [o.label, "bonus"], o.bonusPoints);
}
REDUCE
_sum
QUERY
?group=true&startkey=["gold"]&endkey=["gold",{}]
Regards,
Aurélien
> Début du message réexpédié :
>
> De: David Park <david.p...@points.com>
> Objet: Rép : couchdb erlang reduce - aggregate object
> Date: 13 juin 2018 à 20:17:19 UTC+2
> À: user@couchdb.apache.org
> Répondre à: user@couchdb.apache.org
>
> ok. so here's my test
>
> 3 docs
>
> {"_id": "a", "label": "gold", "basePoints": 1000, "bonusPoints": 2000}
> {"_id": "b", "label": "gold", "basePoints": 10000, "bonusPoints": 20000}
> {"_id": "c", "label": "silver", "basePoints": 10000, "bonusPoints": 20000}
>
> Then I took your advice and wrote a javascript (not erlang) view
>
> function(o) {
> emit(o.label, o.basePoints);
> emit(o.label, o.bonusPoints);
> }
>
> then threw in a reduce of
>
> _sum
>
> then I queried my view with group = true where key = label
> And I get a response of
> {
> "rows":[
> {"key":"gold","value":33000}
> ]
> }
>
> I desire that value to be split out by base and bonus points.
>
> David Park Software Developer
