如何使用mongodb mapreduce计算简单移动平均值?
我在mongodb集合中有以下格式的时间序列数据:如何使用mongodb mapreduce计算简单移动平均值?,mongodb,mapreduce,moving-average,Mongodb,Mapreduce,Moving Average,我在mongodb集合中有以下格式的时间序列数据: { "Name" : "AKBNK", "Date" : ISODate("2009-01-02T00:00:00Z"), "Close" : 3.256746559, } 我想使用mongodb mapreduce计算简单移动平均值。我尝试了如下方法来执行窗口滑动,但是当周期较大时,它的工作速度很慢 var mapper = function() { var i = 0, j = counter; i
{
"Name" : "AKBNK",
"Date" : ISODate("2009-01-02T00:00:00Z"),
"Close" : 3.256746559,
}
我想使用mongodb mapreduce计算简单移动平均值。我尝试了如下方法来执行窗口滑动,但是当周期较大时,它的工作速度很慢
var mapper = function() {
var i = 0, j = counter;
if (j < period) {
j = period;
i = period - counter;
}
for (; i < period && j <= limit; i++, j++) {
emit (j, this.Close);
}
counter++;
}
var reducer = function(key, values) {
return Array.sum(values);
}
var finalizer = function(key, reducedValue) {
return reducedValue / period;
}
var period = 730;
db.data.mapReduce(mapper, reducer, {finalize: finalizer, out: "smaOut", query: {Name: "AKBNK"}, sort: {Date: -1}, limit: period * 2 - 1, scope: {counter: 1, period: period, limit: period * 2 - 1}});
var mapper=function(){
变量i=0,j=计数器;
如果(j 对于(;i
db.data.aggregate({
$match: {
"Name": "AKBNK" // this stage will use and index if you have one on the "Name" field
}
}, {
$sort: { "Date": -1 }, // this stage will also use and index if you have one on "Date"
}, {
$group: {
"_id": null, // create one single document
"allCloseValues": { $push: "$Close" } // that shall contain an array with all "Close" values
}
}, {
$addFields: {
"copyOfAllCloseValues": "$allCloseValues" // duplicate the array
}
}, {
$unwind: {
"path": "$copyOfAllCloseValues", // flatten the created single document
"includeArrayIndex": "_id" // use the "_id" field to hold the array index
}
}, {
$project: {
avg: {
$avg: { // calculate the average of some part of the array "Close"
$slice: [ "$allCloseValues", "$_id", 730 ] // which shall start at index "_id" and take up to 730 values
}
}
}
}, {
$out: "smaOut" // write the resulting documents out to the "smaOut" collection
});