I'm facing an index problem for which I can't see a solution yet.
I have the following document structure per board:
{
"Name": "Test Board",
...
"Settings": {
"Admins": [ "USER1", "USER2" ],
"Members": [ "USER3", "USER4", "USER5" ]
...
},
...
"CreatedBy": "USER1",
"CreatedOn": "2014-09-26T18:14:20.0858945"
...
}
Now I'd like to be able to retrieve the count of all users which are somewhere registered in a board. Of course this should not only count the number of user occurences but rather count the number of distinct users. One user can be member of multiple boards.
This operation should perform as fast as possible since it is displayed in a global statistics dashboard visible on each page. Therefor I chose to try it with an index instead of retrieving all boards and their users and do the work on client side.
Trying to achieve this by using a Map/Reduce index:
Map = boards => from board in boards
select new
{
Aggregation = "ALL",
Users = new object[]
{
board.CreatedBy,
board.Settings.Admins,
board.Settings.Members
},
NumberOfUsers = 1
};
Reduce = results => from res in results
group res by new
{
res.Aggregation
}
into g
select new
{
g.Key.Aggregation,
Users = g.Select(x => x.Users),
NumberOfUsers = g.Sum(x => x.Users.Length)
};
Obviously this results in a wrong count. I don't have any experience with Reduce yet so I appreciate any tip! The solution will be probably pretty easy...
What would be the best way to globally distinct CreatedBy, Admins and Members of all documents and return the count?