(1) 先定义map ,reduce函数
m = function () {
emit(this.carrier, this.impCount);
};
r = function (key, values) {
var x = 0;
values.forEach(function (v) {x += v;});
return x;
};
第一种命令,调用runCommand:
res = db.runCommand({
mapreduce:"test_table",
map:m,
reduce:r,
query : {
'$or' : [{'impCount': {'$gt' : 3}},{'impCount': {'$lt' : 16}}],
},
out:"students_res"
});
第二中命令, 调用 mapreduce函数:
res = db.test_table.mapReduce(m,r,{
query : {
'$or' : [{'impCount': {'$gt' : 3}},{'impCount': {'$lt' : 16}}],
},
out:"students_res"
} );
(2)
var key1 = { var1 : "$appid", var2 : "$os"}
var query1 = { '$or' : [{'impCount': {'$gt' : 3}},{'impCount': {'$lt' : 16}}] }
var sort1 = { carrier: -1 }
var limit = 3
db.test_table.aggregate(
[
{ $match: match1},
{ $group: { _id: key1 , ImpCount: { $sum: "$impCount" }, ClickCount:{$sum: "$clickCount" }}},
{ $sort: sort1},
{ $limit: limit }
]
);
(3)
var key1 = {'carrier' : true};
var query1 = { '$or' : [{'impCount': {'$gt' : 16}},{'impCount': {'$lt' : 3}}] };
db.test_table.group({
key : key1,
cond: query1,
reduce: function(obj,prev) { prev.msum += obj.impCount; },initial: {msum : 0}
}
);