我正在尝试在Mongo-Atlas中建立仪表板图表。 该表应在x轴上显示日期,在yid上显示_id。 值应该是与之前日期的计数差。
我有一个数据点集合,例如:
_id: "someName"
timestamp: 2019-09-05T06:24:24.689+00:00
count: 50
_id: "someName"
timestamp: 2019-09-04T06:24:24.689+00:00
count: 40
...
目标是使计数差与之前的数据点相等。名字相同。
_id: "someName"
timestamp: 2019-09-05T06:24:24.689+00:00
count: 50
difference: 10
_id: "someName"
timestamp: 2019-09-04T06:24:24.689+00:00
count: 40
difference: 17
...
这样,我可以制作一张列出差异的表格
到目前为止,我已经创建了一个聚合管道
[
{$sort: {
"timestamp": -1
}},
{$group: {
_id: "$_id",
count: {
$push: { count: "$count", timestamp: "$timestamp" }
}
}},
{$project: {
_id: "$_id",
count: "$count",
countBefore: { $slice: [ "$count", 1, { $size: "$count" } ] }
}}
]
我希望减去count和countBefore,这样我就得到了一个带有数据点的数组,但有区别...
所以我尝试遵循:
{$project: {
countDifference: {
$map: {
input: "$countBefore",
as: "before",
in: {
$subtract: ["$$before.count", "$count.count"]
/*"$count.count" seems to be the problem, since an integer works*/
}
}
}
}
}
Mongo Atlas仅显示“发生未知错误”
我很乐意提供一些建议:)
答案 0 :(得分:0)
以下查询可以为我们提供预期的输出:
db.collection.aggregate([
{
$sort:{
"timestamp":1
}
},
{
$group:{
"_id":"$id",
"counts":{
$push:"$count"
}
}
},
{
$project:{
"differences":{
$reduce:{
"input":"$counts",
"initialValue":{
"values":[],
"lastValue":0
},
"in":{
"values":{
$concatArrays:[
"$$value.values",
[
{
$subtract:["$$this","$$value.lastValue"]
}
]
]
},
"lastValue":"$$this"
}
}
}
}
},
{
$project:{
"_id":0,
"id":"$_id",
"plots":"$differences.values"
}
}
]).pretty()
数据集:
{
"_id" : ObjectId("5d724550ef5e6630fde5b71e"),
"id" : "someName",
"timestamp" : "2019-09-05T06:24:24.689+00:00",
"count" : 50
}
{
"_id" : ObjectId("5d724550ef5e6630fde5b71f"),
"id" : "someName",
"timestamp" : "2019-09-04T06:24:24.689+00:00",
"count" : 40
}
{
"_id" : ObjectId("5d724796ef5e6630fde5b720"),
"id" : "someName",
"timestamp" : "2019-09-06T06:24:24.689+00:00",
"count" : 61
}
{
"_id" : ObjectId("5d724796ef5e6630fde5b721"),
"id" : "someName",
"timestamp" : "2019-09-07T06:24:24.689+00:00",
"count" : 72
}
{
"_id" : ObjectId("5d724796ef5e6630fde5b722"),
"id" : "someName",
"timestamp" : "2019-09-08T06:24:24.689+00:00",
"count" : 93
}
{
"_id" : ObjectId("5d724796ef5e6630fde5b723"),
"id" : "someName",
"timestamp" : "2019-09-09T06:24:24.689+00:00",
"count" : 100
}
输出:
{ "id" : "someName", "plots" : [ 40, 10, 11, 11, 21, 7 ] }
说明::我们将同一count
的{{1}}推入id
数组中,然后对其应用$reduce操作以准备一个集合新值,其中当前值将保持counts
数组的当前值与先前值之间的差。对于第一个值,先前的值将为零。