Summarise nested fields - rethinkdb

Question

I'm having a hard time getting a specific query right.
I have a schema following this style:
{
"User": "user1" ,
"active": true ,
"points": {
"2015-07": 2 ,
"2015-08": 5 ,
"2015-09": 7 ,
"2015-10": 1 ,
"2015-11": 28 ,
"2015-12": 5 ,
"2016-01": 3
}
}
{
"User": "user2" ,
"active": true ,
"points": {
"2015-01": 8 ,
"2015-02": 4 ,
"2015-09": 6 ,
"2015-10": 12 ,
"2015-11": 34 ,
"2015-12": 1 ,
"2016-01": 2
}
}
How can I write a query that will return each user and the total amount of points?

Answer 1

Just a small typo in #Tryneus' example, .sum(...) should go at the end. Try this one:
r.db('test').table('test').map(function (x) {
return x.merge( {points: x('points').values().sum()})
})

Answer 2

For those of us unfortunate enough to still be stuck with a version of RethinkDB without a values function, the trick is to first retrieve all keys and use map to retrieve a sequence of values:
r.db("test").table("test").map(function (x) {
return x.merge({
points: x("points").keys().map(function(key) {
return x("points")(key)
}).sum()
})
})

Answer 3

It should be simple enough to do this with a map, summing the values of the "points" object in each row. This code is in Javascript, so it should work in the Data Explorer, where r.expr(data) is the sequence of values you want to operate on.
r.expr(data).map(function (x) {
return x.merge({points:r.sum(x('points').values())});
})