我想使用 mongoDB 的聚合框架来运行 SQL 中看起来有点像的东西:
SELECT SUM(A), B, C from myTable GROUP BY B, C;
文档状态:
您可以指定管道中文档中的单个字段、先前计算的值或由多个传入字段组成的聚合键。
但目前还不清楚“由几个传入字段组成的聚合键”实际上是什么?
我的数据集有点像这样:
[{ "timeStamp" : 1341834988666, "label" : "sharon", "responseCode" : "200", "value" : 10, "success" : "true"},
{ "timeStamp" : 1341834988676, "label" : "paul", "responseCode" : "200", "value" : 60, "success" : "true"},
{ "timeStamp" : 1341834988686, "label" : "paul", "responseCode" : "404", "value" : 15, "success" : "true"},
{ "timeStamp" : 1341834988696, "label" : "sharon", "responseCode" : "200", "value" : 35, "success" : "false"},
{ "timeStamp" : 1341834988166, "label" : "paul", "responseCode" : "200", "value" : 40, "success" : "true"},
{ "timeStamp" : 1341834988266, "label" : "paul", "responseCode" : "404", "value" : 99, "success" : "false"}]
我的查询如下所示:
resultsCollection.aggregate(
{ $match : { testid : testid} },
{ $skip : alreadyRead },
{ $project : {
timeStamp : 1 ,
label : 1,
responseCode : 1 ,
value : 1,
success : 1
}},
{ $group : {
_id : "$label",
max_timeStamp : { $timeStamp : 1 },
count_responseCode : { $sum : 1 },
avg_value : { $sum : "$value" },
count_success : { $sum : 1 }
}},
{ $group : {
?
}}
);
我的直觉是尝试将结果传递给第二组,我知道您可以这样做,但它不会起作用,因为第一组已经过多地减少了数据集并且丢失了所需的细节级别。
我想要做的是分组使用label
,responseCode
并success
从结果中获取值的总和。它应该看起来有点像:
label | code | success | sum_of_values | count
sharon | 200 | true | 10 | 1
sharon | 200 | false | 35 | 1
paul | 200 | true | 100 | 2
paul | 404 | true | 15 | 1
paul | 404 | false | 99 | 1
其中有五组:
1. { "timeStamp" : 1341834988666, "label" : "sharon", "responseCode" : "200", "value" : 10, "success" : "true"}
2. { "timeStamp" : 1341834988696, "label" : "sharon", "responseCode" : "200", "value" : 35, "success" : "false"}
3. { "timeStamp" : 1341834988676, "label" : "paul", "responseCode" : "200", "value" : 60, "success" : "true"}
{ "timeStamp" : 1341834988166, "label" : "paul", "responseCode" : "200", "value" : 40, "success" : "true"}
4. { "timeStamp" : 1341834988686, "label" : "paul", "responseCode" : "404", "value" : 15, "success" : "true"}
5. { "timeStamp" : 1341834988266, "label" : "paul", "responseCode" : "404", "value" : 99, "success" : "false"}