MapReduce问题

时间:2011-09-07 11:02:35

标签: mongodb

我有一个奇怪的MapReduce问题。

地图功能:

> mp
function () {
    emit(this.ContractID, {qty:this.Qty, qtybs:this.QtyBs});
}

减少功能

> red
function (key, values) {
    var sum1 = 0, sum2 = 0;
    values.forEach(function (doc) {sum1 += doc.qty;sum2 += doc.qtybs;});
    return {a:sum1, b:sum2};
}

为7份合约运行MR:

> result = db.fact_payments.mapReduce(mp, red, {out:"myout2", query:{ContractID:{$lte:10000100042}}});
{
        "result" : "myout2",
        "timeMillis" : 670,
        "counts" : {
                "input" : 591,
                "emit" : 591,
                "output" : 7
        },
        "ok" : 1,
}
> db.myout2.find()
{ "_id" : NumberLong("10000000042"), "value" : { "a" : 8331.04, "b" : 253835.07999999996 } }
{ "_id" : NumberLong("10000000084"), "value" : { "a" : 4728.480000000001, "b" : 142879.88000000003 } }
{ "_id" : NumberLong("10000000129"), "value" : { "a" : 25421.859999999997, "b" : 756036.9499999998 } }
{ "_id" : NumberLong("10000000140"), "value" : { "a" : 477292.0000000002, "b" : 477292.0000000002 } }
{ "_id" : NumberLong("10000000148"), "value" : { "a" : 7912.0599999999995, "b" : 237926.87999999998 } }
{ "_id" : NumberLong("10000000165"), "value" : { "a" : 35391.31999999999, "b" : 1074180.95 } }
{ "_id" : NumberLong("10000000171"), "value" : { "a" : 62189.52, "b" : 62189.52 } }
>

一切都没问题,所有合同都有结果:)

在所有合约上运行MR:

> result = db.fact_payments.mapReduce(mp, red, {out:"myout2", query:{ContractID:{$lte:100100000042}}});
{
        "result" : "myout2",
        "timeMillis" : 26273,
        "counts" : {
                "input" : 295765,
                "emit" : 295765,
                "output" : 7793
        },
        "ok" : 1,
}
> db.myout2.find()
{ "_id" : NumberLong("10000000042"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10000000084"), "value" : { "a" : 4728.480000000001, "b" : 142879.88000000003 } }
{ "_id" : NumberLong("10000000129"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10000000140"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10000000148"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10000000165"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10000000171"), "value" : { "a" : 62189.52, "b" : 62189.52 } }
{ "_id" : NumberLong("10005000172"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10005000173"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10005000189"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10005000191"), "value" : { "a" : 8261.759999999998, "b" : 253916.7 } }
{ "_id" : NumberLong("10005000199"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10005000206"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10005000213"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10010000200"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10010000224"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10010000229"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10010000240"), "value" : { "a" : 32843.32, "b" : 32843.32 } }
{ "_id" : NumberLong("10010000243"), "value" : { "a" : NaN, "b" : NaN } }
{ "_id" : NumberLong("10010000244"), "value" : { "a" : NaN, "b" : NaN } }
has more

相同的合约ID具有不同的结果:

{ "_id" : NumberLong("10000000042"), "value" : { "a" : 8331.04, "b" : 253835.07999999996 } }

{ "_id" : NumberLong("10000000042"), "value" : { "a" : NaN, "b" : NaN } }

我根本没有任何想法。

1 个答案:

答案 0 :(得分:11)

如果您将最后一行更改为以下内容,则应该有效:

return {qty:sum1, qtybs:sum2};

规则是reduce函数的返回值必须与要发出的第二个参数(要减少的输入)相同“shape”,因为reduce的输出被反馈到reduce函数中。有关详细信息,请参阅http://www.mongodb.org/display/DOCS/MapReduce#MapReduce-ReduceFunction