获取“loglevel"的计数对于每个“名称" [英] Get count of "loglevel" for each "name"
本文介绍了获取“loglevel"的计数对于每个“名称"的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
例如我有以下收藏:
db.names.find({})
db.names.find({})
{ "_id" : ObjectId("5768d9b4bc6f464899594570"), "name" : "t1", "loglevel" : "ERROR" }
{ "_id" : ObjectId("5768d9d5bc6f464899594571"), "name" : "t1", "loglevel" : "ERROR" }
{ "_id" : ObjectId("5768d9dcbc6f464899594572"), "name" : "t1", "loglevel" : "WARNING" }
{ "_id" : ObjectId("5768d9dfbc6f464899594573"), "name" : "t1", "loglevel" : "WARNING" }
{ "_id" : ObjectId("5768d9e0bc6f464899594574"), "name" : "t1", "loglevel" : "WARNING" }
{ "_id" : ObjectId("5768d9e7bc6f464899594575"), "name" : "t1", "loglevel" : "INFO" }
{ "_id" : ObjectId("5768d9f3bc6f464899594576"), "name" : "t2", "loglevel" : "INFO" }
{ "_id" : ObjectId("5768d9f9bc6f464899594577"), "name" : "t2", "loglevel" : "ERROR" }
{ "_id" : ObjectId("5768da19bc6f464899594578"), "name" : "t2", "loglevel" : "ERROR" }
{ "_id" : ObjectId("5768da1abc6f464899594579"), "name" : "t2", "loglevel" : "ERROR" }
{ "_id" : ObjectId("5768da1bbc6f46489959457a"), "name" : "t2", "loglevel" : "ERROR" }
{ "_id" : ObjectId("5768e247bc6f46489959457b"), "name" : "t3", "loglevel" : "INFO" }
我试过了,但我认为应该是更好的解决方案(else
也可以省略)
I have tried but I think it should be better solution (also else
can be omitted)
db.names.aggregate(
{$group: {
_id: "$name",
error: {$sum: {$cond: {if: {$eq: ['$loglevel', 'ERROR']}, then: {$sum: 1}, else: {$sum: 0}}}},
warning: {$sum: {$cond: {if: {$eq: ['$loglevel', 'WARNING']}, then: {$sum: 1}, else: {$sum: 0}}}},
info: {$sum: {$cond: {if: {$eq: ['$loglevel', 'INFO']}, then: {$sum: 1}, else: {$sum: 0}}}}
}}
)
推荐答案
去掉 { "$sum": 1 }
和 { "$sum": 0 }
if/else
条件块中的表达式,将它们替换为值 1 和 0(分别用于每个条件块).
Remove the { "$sum": 1 }
and { "$sum": 0 }
expressions in your if/else
conditional blocks, substitute them with the values 1 and 0 (respectively for each conditional block).
最终的管道应该是这样的,使用另一个 $cond
语法省略了 if/else
块:
The final pipeline should look like this, using the other $cond
syntax which omits the if/else
blocks:
db.names.aggregate([
{
"$group": {
"_id": "$name",
"error": {
"$sum": {
"$cond": [ { "$eq": [ "$loglevel", "ERROR" ] }, 1, 0]
}
},
"warning":{
"$sum": {
"$cond": [ { "$eq": [ "$loglevel", "WARNING" ] }, 1, 0 ]
}
},
"info": {
"$sum": {
"$cond": [ { "$eq": [ "$loglevel", "INFO" ] }, 1, 0 ]
}
}
}
}
])
<小时>
或者动态创建管道,给定一组可能的状态:
Or dynamically create the pipeline, given an array of possible statuses:
var statuses = ["ERROR", "WARNING", "INFO"],
groupOperator = { "$group": { "_id": "$name" } };
statuses.forEach(function (status){
groupOperator["$group"][status.toLowerCase()] = {
"$sum": {
"$cond": [ { "$eq": [ "$loglevel", status ] }, 1, 0]
}
}
});
db.names.aggregate([groupOperator]);
输出
/* 1 */
{
"_id" : "t1",
"error" : 2,
"warning" : 3,
"info" : 1
}
/* 2 */
{
"_id" : "t2",
"error" : 4,
"warning" : 0,
"info" : 1
}
/* 3 */
{
"_id" : "t3",
"error" : 0,
"warning" : 0,
"info" : 1
}
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