On Mon, Sep 28, 2009 at 10:31 AM, Adam Wolff <awolff@gmail.com> wrote:
> If you change your map like this:       var value ={};
>       value[domain] = 1;
>       emit([key...], value);
>
> Then you don't need conditional handling of rereduce. You can just write:
>           values.forEach(function(v) {
>               for (var k in v) {
>                   hist[k] = (hist[k] || 0) + v[k];
>                }
>            }
>

Just a warning that keeping a growing dictionary in your reduce values
can be considered an anti-pattern. You'll get reduce overflows on big
data sets.


> A
>
> On Mon, Sep 28, 2009 at 9:31 AM, Jesse Hallett <hallettj@gmail.com> wrote:
>
>> It is entirely possible to do what you want.  The reduce function required
>> is reasonably complicated.
>>
>> First I want to point out that in the example query you gave the results
>> will not be filtered by engine.  If you want results matching only a
>> specific category_id and engine you will have to move `engine` to the
>> second
>> or first position of the key.  If you want to get all engine values for a
>> given date range then the last position in the key is appropriate.
>> Otherwise the map function is looking good.
>>
>> Here is a reduce function that should work:
>>
>>    function (keys, values, rereduce) {
>>        var hist = {};
>>        if (rereduce) {
>>            values.forEach(function(v) {
>>                // v is the intermediate output of a previous reduce call.
>>                for (var k in v) {
>>                    hist[k] = (hist[k] || 0) + v[k];
>>                 }
>>            }
>>        } else {
>>            // v is a domain.
>>            values.forEach(function(v) {
>>                hist[v] = (hist[v] || 0) + 1;
>>            }
>>        }
>>        return hist;
>>    }
>>
>> Make sure to run your queries with `group=true`.  Futon uses `group=false`
>> in the interactive view editor - so results may not look correct there.
>>
>> The 'Introduction to Views' wiki page is very helpful to me for getting a
>> good idea of how reduce functions work:
>>
>>    http://wiki.apache.org/couchdb/Introduction_to_CouchDB_views
>>
>> On Sep 28, 2009 7:21 AM, "Jeremy Wall" <jwall@google.com> wrote:
>>
>> Typing from my phone so I can't give a code example. But from what you are
>> describing I think you want a key that looks something like this.
>> [CategoryId, Date, domain]. You can then use reduce to return counts by
>> category, date, and domain. If you want counts that span categories and
>> dates though then you will have to merge them in your application code.
>>
>> Sent from my G1 google phone
>>
>> On Sep 28, 2009 12:42 AM, "Glenn Rempe" <glenn@rempe.us> wrote: Hello, I
>> am
>> hoping the group can ...
>>
>



-- 
Chris Anderson
http://jchrisa.net
http://couch.io