mongodb多个匹配条件并返回具有公共名称的文档
以下数据存在于“examSheet”集合中mongodb多个匹配条件并返回具有公共名称的文档,mongodb,match,aggregation-framework,multiple-conditions,Mongodb,Match,Aggregation Framework,Multiple Conditions,以下数据存在于“examSheet”集合中 {"name":"a1", "std":"9", "year":"2017", "exam":"halfyr_T", "marks":[{"p":"45","m":"40","c":"50"}]} {"name":"a1", "std":"9", "year":"2017", "exam":"halfyr_P", "marks":[{"p":"40","m":"28","c":"38"}]} {"name":"a1", "std":"9", "year
{"name":"a1", "std":"9", "year":"2017", "exam":"halfyr_T", "marks":[{"p":"45","m":"40","c":"50"}]}
{"name":"a1", "std":"9", "year":"2017", "exam":"halfyr_P", "marks":[{"p":"40","m":"28","c":"38"}]}
{"name":"a1", "std":"9", "year":"2017", "exam":"annual_T", "marks":[{"p":"40","m":"50","c":"48"}]}
{"name":"a1", "std":"9", "year":"2017", "exam":"annual_P", "marks":[{"p":"45","m":"42","c":"18"}]}
{"name":"a2", "std":"9", "year":"2017", "exam":"halfyr_T", "marks":[{"p":"25","m":"30","c":"50"}]}
{"name":"a2", "std":"9", "year":"2017", "exam":"halfyr_P", "marks":[{"p":"41","m":"48","c":"28"}]}
{"name":"a2", "std":"9", "year":"2017", "exam":"annual_T", "marks":[{"p":"30","m":"48","c":"24"}]}
{"name":"a2", "std":"9", "year":"2017", "exam":"annual_P", "marks":[{"p":"35","m":"08","c":"38"}]}
{"name":"b1", "std":"10", "year":"2017", "exam":"halfyr_T","marks":[{"p":"45","m":"40","c":"50"}]}
{"name":"b1", "std":"10", "year":"2017", "exam":"halfyr_P", "marks": [{"p":"40","m":"28","c":"38"}]}
{"name":"b1", "std":"10", "year":"2017", "exam":"annual_T", "marks": [{"p":"40","m":"50","c":"48"}]}
{"name":"b1", "std":"10", "year":"2017", "exam":"annual_P", "marks": [{"p":"45","m":"42","c":"18"}]}
{"name":"b2", "std":"10", "year":"2017", "exam":"halfyr_T", "marks": [{"p":"25","m":"30","c":"50"}]}
{"name":"b2", "std":"10", "year":"2017", "exam":"halfyr_P", "marks": [{"p":"41","m":"48","c":"28"}]}
{"name":"b2", "std":"10", "year":"2017", "exam":"annual_T", "marks": [{"p":"30","m":"48","c":"24"}]}
{"name":"b2", "std":"10", "year":"2017", "exam":"annual_P", "marks": [{"p":"35","m":"08","c":"38"}]}
我想返回聚合json输出,其中一个名称满足所有条件。
Ex:std:9,学年:2017,考试:物理成绩>25分的半学年大学理论
标准:9,年份:2017,考试:物理成绩>35的年度大学理论
我尝试了以下不同的方法,
符合条件,,
能够获取“名称”,但无法再次匹配/提取文档数据
db.examSheet.aggregate([{$facet: {
'halfyr': [ {$match: {$and: [{'exam': 'halfyr_T'},{'std': '9'},{'year': "2017"},{'marks.p': {$gte: '25'}}]}}],
"annual": [ {$match: {$and: [{'exam': 'annual_T'},{'std': '9'},{'year': "2017"},{'marks.p': {$gte: '35'}}]}}]
}
},
{$project: {'_id': 0, "combined": {$setIntersection: ['$halfyr.name', '$annual.name']}}}
]);
已尝试,在[组合]项目后将halfyr.name与$匹配,等等。
但无法解决问题
请帮助或建议我解决此问题
我试过这样做
db.examSheet.aggregate([{$facet: {
"halfyr": [ {$match: {$and: [{'exam': 'halfyr_T'},{'std': '9'},{'year': "2017"},{'marks.p': {$gte: '25'}}]}}],
"annual": [ {$match: {$and: [{'exam': 'annual_T'},{'std': '9'},{'year': "2017"},{'marks.p': {$gte: '35'}}]}}]
}
},
{$unwind : "$annual"}
]);
我的输出是:
{
"halfyr" : [
{
"_id" : ObjectId("5a98c639b0ae80e6c6a92031"),
"name" : "a1",
"std" : "9",
"year" : "2017",
"exam" : "halfyr_T",
"marks" : [
{
"p" : "45",
"m" : "40",
"c" : "50"
}
]
},
{
"_id" : ObjectId("5a98c639b0ae80e6c6a9203e"),
"name" : "a2",
"std" : "9",
"year" : "2017",
"exam" : "halfyr_T",
"marks" : [
{
"p" : "25",
"m" : "30",
"c" : "50"
}
]
}
],
"annual" : {
"_id" : ObjectId("5a98c639b0ae80e6c6a92038"),
"name" : "a1",
"std" : "9",
"year" : "2017",
"exam" : "annual_T",
"marks" : [
{
"p" : "40",
"m" : "50",
"c" : "48"
}
]
}
}
有人能建议如何匹配或过滤出半年和年度中常见的名称吗?
提前谢谢
期望输出:
{
"name":"a1", "std":"9", "year":"2017",
"halfyr" : {"exam":"halfyr_T", "marks": [{"p":"45","m":"40","c":"50"}]},
"annual" : {"exam":"annual_T", "marks": [{"p":"40","m":"50","c":"48"}]}
}
你可以用。里面
我解决了它使用一些额外的计数文件
谢谢大家的时间和建议
db.examSheet.aggregate([
{
"$match":{
"$and":[
{"$or":[
{"exam":"halfyr_T","marks.p":{"$gte":"25"}},
{"exam":"annual_T","marks.p":{"$gte":"35"}}
]},
{"std":"9"},
{"year":"2017"}
]
}},
{$group: {
"_id": {
"code": "$name",
"type": { "$cond": [
{ "$and":[
{ "$gte": [ "$marks.p", 25 ] },
{ "$eq": [ "$exam", "halfyr_T" ] }
]},
"A",
"B"
]}
},
"all_data" : {$addToSet : "$$ROOT"}
}},
// Simply add up the results for each "type"
{ "$group": {
"_id": "$_id.code",
"all_data" : {$addToSet : "$all_data"},
"score": { "$sum": 1 }
}},
// Now filter to keep only results with score 2
{ "$match": { "score": 2 }},
{$project : {_id :0 , all_data : 1}}
]);
$or-即使其中一个条件匹配,也将给出结果。如果我使用$and-我就没有输出。谢谢你的建议。但我的问题仍然存在。更新答案。这很有帮助。谢谢它提供了所有匹配的文档。但是我怎样才能过滤出符合这两个条件的名字呢?有什么想法吗?我尝试了,$match,$push,$eq等,但没有得到想要的输出。
db.examSheet.aggregate([
{
"$match":{
"$and":[
{"$or":[
{"exam":"halfyr_T","marks.p":{"$gte":"25"}},
{"exam":"annual_T","marks.p":{"$gte":"35"}}
]},
{"std":"9"},
{"year":"2017"}
]
}},
{$group: {
"_id": {
"code": "$name",
"type": { "$cond": [
{ "$and":[
{ "$gte": [ "$marks.p", 25 ] },
{ "$eq": [ "$exam", "halfyr_T" ] }
]},
"A",
"B"
]}
},
"all_data" : {$addToSet : "$$ROOT"}
}},
// Simply add up the results for each "type"
{ "$group": {
"_id": "$_id.code",
"all_data" : {$addToSet : "$all_data"},
"score": { "$sum": 1 }
}},
// Now filter to keep only results with score 2
{ "$match": { "score": 2 }},
{$project : {_id :0 , all_data : 1}}
]);