从MongoDB获取多个嵌套数组文档中的问题
我在每个级别的每个文档中都有多个嵌套数组。我必须获取符合以下条件的文档：从MongoDB获取多个嵌套数组文档中的问题,mongodb,mongodb-query,aggregation-framework,spring-data-mongodb,Mongodb,Mongodb Query,Aggregation Framework,Spring Data Mongodb,我在每个级别的每个文档中都有多个嵌套数组。我必须获取符合以下条件的文档： 1. empId : 123 2. address.country: "AUS" 3. group.primaryGroup.primary:"Y" 4. group.subGroup.primarySubGroup.primary : "Y" 5. group.subGroup.primarySubGroup.country : "AUS" 6. In group[0], if primaryGroup.primary
1. empId : 123
2. address.country: "AUS"
3. group.primaryGroup.primary:"Y"
4. group.subGroup.primarySubGroup.primary : "Y"
5. group.subGroup.primarySubGroup.country : "AUS"
6. In group[0], if primaryGroup.primary = "Y" is not matching then ignore the group[0].
7. In group[0], if subGroup.primarySubGroup.primary = "Y" and subGroup.primarySubGroup.country = "AUS" is not matching then also ignore the entire group[0].
8. If primaryGroup and primarySubGroup matching the criteria then I have to fetch the particular group , primaryGroup and primarySubGroup array.
9. If none of the group[].primaryGroup[] is matching the criteria then I can ignore the entire document.
10. If none of the group[].subGroup[].subPrimaryGroup[] is matching the criteria then I can ignore the entire document.
db.temp.aggregate([{"$match": {"empId": 123,"address.country": "AUS","group.primaryGroup.primary": "Y","group.subGroup.primarySubGroup.primary": "Y","group.subGroup.primarySubGroup.country": "AUS"}}, {"$project": {"empId": 1,"mobile": 1,"address": {"$filter": {"input": "$address","as": "d","cond": {"$eq": ["$$d.country", "AUS"]}}},"group": {"$map": {"input": {"$filter": {"input": "$group","as": "b","cond": {"$in": ["Y", "$$b.primaryGroup.primary"]}}}, "as": "vp","in": {"groupId": "$$vp.groupId","primaryGroup": {"$filter": {"input": "$$vp.primaryGroup","as": "vp","cond": {"$eq": ["$$vp.primary", "Y"]}}},"subGroup": {"$map": {"input": {"$filter": {"input": "$$vp.subGroup","as": "np","cond": {"$and": [{"$in": ["Y", "$$np.primarySubGroup.primary"]}, {"$in": ["AUS", "$$np.primarySubGroup.country"]}]}}},"as": "n","in": {"subGroupId": "$$n.subGroupId","primarySubGroup": {"$filter": {"input": "$$n.primarySubGroup","as": "n","cond": {"$and": [{"$eq": ["$$n.primary", "Y"]}, {"$eq": ["$$n.country", "AUS"]}]}}}}}}}}}}}]).pretty()
[
{
"empId": 123,
"address": [
{
"street": "no.12 wilson street",
"country":"AUS"
},
{
"description": "No.32 watson street",
"country":"CAN"
}
],
"mobile": 2387468238,
"group": [
{
"groupId": 75227,
"primaryGroup": [
{
"primary": "Y"
},
{
"primary": "N"
}
],
"subGroup": [
{
"subGroupId": 123,
"primarySubGroup": [
{
"primary": "Y",
"country": "AUS"
},
{
"primary": "N",
"country": "IND"
}
]
},
{
"subGroupId": 234,
"primarySubGroup": [
{
"primary": "N",
"country": "USA"
},
{
"primary": "Y",
"country": "IND"
}
]
},
{
"subGroupId": 432,
"primarySubGroup": [
{
"primary": "Y",
"country": "AUS"
},
{
"primary": "N",
"country": "CAN"
}
]
}
]
}, {
"groupId": 33333,
"primaryGroup": [
{
"primary": "Y"
},
{
"primary": "N"
}
],
"subGroup": [
{
"subGroupId": 6734,
"primarySubGroup": [
{
"primary": "Y",
"country": "CAN"
},
{
"primary": "N",
"country": "IND"
}
]
},
{
"subGroupId": 9864,
"primarySubGroup": [
{
"primary": "N",
"country": "IND"
},
{
"primary": "Y",
"country": "USA"
}
]
}
]
}, {
"groupId": 44444,
"primaryGroup": [
{
"primary": "N"
},
{
"primary": "N"
}
],
"subGroup": [
{
"subGroupId": 6734,
"primarySubGroup": [
{
"primary": "Y",
"country": "AUS"
},
{
"primary": "N",
"country": "IND"
}
]
},
{
"subGroupId": 9864,
"primarySubGroup": [
{
"primary": "N",
"country": "IND"
},
{
"primary": "Y",
"country": "USA"
}
]
}
]
}
]
}
]
[
{
"empId": 123,
"address": [
{
"street": "no.12 wilson street",
"country":"AUS"
}
],
"mobile": 2387468238,
"group": [
{
"groupId": 75227,
"primaryGroup": [
{
"primary": "Y"
}
],
"subGroup": [
{
"subGroupId": 123,
"primarySubGroup": [
{
"primary": "Y",
"country": "AUS"
}
]
},
{
"subGroupId": 432,
"primarySubGroup": [
{
"primary": "Y",
"country": "AUS"
}
]
}
]
}
]
}
]
你能帮我做这个吗。提前感谢。您的聚合管道中有一个打字错误和筛选问题
$$filterdb.temp.aggregate([
{
"$match":{
"empId":123,
"address.country":"AUS",
"group.primaryGroup.primary":"Y",
"group.subGroup.primarySubGroup.primary":"Y",
"group.subGroup.primarySubGroup.country":"AUS"
}
},
{
"$project":{
"empId":1,
"mobile":1,
"address":{
"$filter":{
"input":"$address",
"as":"d",
"cond":{
"$eq":[ "$$d.country","AUS" ]
}
}
},
"group":{
"$map":{
"input":{
"$filter":{
"input":"$group",
"as":"b",
"cond":{
$and : [
{ "$in":[ "Y", "$$b.primaryGroup.primary" ] }
]
}
}
},
"as":"vp",
"in":{
"groupId":"$$vp.groupId",
"primaryGroup":{
"$filter":{
"input":"$$vp.primaryGroup",
"as":"vc",
"cond":{
"$eq":[ "$$vc.primary", "Y" ]
}
}
},
"subGroup":{
"$map":{
"input":{
"$filter":{
"input":"$$vp.subGroup",
"as":"np",
"cond":{
"$and":[
{ "$in":[ "Y", "$$np.primarySubGroup.primary" ] },
{ "$in":[ "AUS","$$np.primarySubGroup.country" ] }
]
}
}
},
"as":"n",
"in":{
"subGroupId":"$$n.subGroupId",
"primarySubGroup":{
"$filter":{
"input":"$$n.primarySubGroup",
"as":"mp",
"cond":{
"$and":[
{ "$eq":[ "$$mp.primary", "Y" ] },
{ "$eq":[ "$$mp.country", "AUS" ] }
]
}
}
}
}
}
}
}
}
}
}
},
{"$project":
{
"empId":1,
"mobile":1,
"address":1,
"group":{
$filter : {
input : "$group",
as : "g",
cond : {$gt : [{$size : "$$g.subGroup"}, 0]}
}
}
}
}
]).pretty()