Mongodb 从整个集合中查找一个文档,其中一个特定值嵌套在多个嵌入的子文档中
我需要从查询中找到一个与唯一条件匹配的文档 下面是示例数据-请注意,我们必须从“验证代码”的文档中找到一封电子邮件:“4146” 如果你需要我更详细地解释我的问题,请告诉我Mongodb 从整个集合中查找一个文档,其中一个特定值嵌套在多个嵌入的子文档中,mongodb,mongoose,mongodb-query,Mongodb,Mongoose,Mongodb Query,我需要从查询中找到一个与唯一条件匹配的文档 下面是示例数据-请注意,我们必须从“验证代码”的文档中找到一封电子邮件:“4146” 如果你需要我更详细地解释我的问题,请告诉我 { "_id": ObjectId("58dc5b9f3107602dbaba1280"), "email": "test1@gmail.com", "password": "password", "userName": "test1",
{
"_id": ObjectId("58dc5b9f3107602dbaba1280"),
"email": "test1@gmail.com",
"password": "password",
"userName": "test1",
"companyName": "W company",
"apiKey": "JSAD&unjSAD7821SADnosad&",
"apiCallCount": 0,
"buildings": [
{
"_id": ObjectId("528b7c7b594d11167ecdd1a6"),
"buildingName": "TD Bank Tower",
"address": "66 Wellington Street West",
"suite": "3300",
"floor": "48th floor",
"timeZone": "America/Toronto",
"gateways": [
{
"_id": ObjectId("5d254b51f9a35ec2e3926e9d"),
"gatewayName": "TD-xaka-001",
"gatewayKey": "gk_d0202d93d0d29293d9",
"suite": "Xk1",
"devices": [
{
"_id": ObjectId("5d25f9d2dc4aea7838b0aa9f"),
"serialNumber": "100000100213",
"area": "Meeting room 2",
"connectionStatus": 0,
"gatewayKey": "gk_d0202d93d0d29293d9",
"applicationNumber": 31,
"firmwareVersion": "v12.1.8",
"needsAttention": true,
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
],
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
],
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
},
{
"_id": ObjectId("5d254bf5f57660050561dba1"),
"buildingName": "TD North Tower",
"address": "70 Wellington Street West",
"suite": "2200",
"floor": "12th floor",
"timeZone": "America/Toronto",
"gateways": [
{
"_id": ObjectId("5d254bfb6323fbd9e0fafe11"),
"gatewayName": "TD-xaka-002",
"gatewayKey": "gk_d0202d93d0d29293d1",
"suite": "xk2",
"devices": [
{
"_id": ObjectId("5d25f9d2dc4aea7838b0aa9e"),
"serialNumber": "100000100212",
"area": "Meeting room 1",
"connectionStatus": 0,
"gatewayKey": "gk_d0202d93d0d29293d1",
"applicationNumber": 50,
"firmwareVersion": "v12.1.8",
"verificationCode": "4146",
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
},
{
"_id": ObjectId("5d4c5f4b3e0c539469fb20a2"),
"serialNumber": "100000100218",
"area": "Kitchen",
"connectionStatus": 1,
"gatewayKey": "gk_d0202d93d0d29293d1",
"applicationNumber": 50,
"firmwareVersion": "v12.1.8",
"needsAttention": true,
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
],
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
],
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
],
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
{
"_id": ObjectId("58dc5b9f3107602dbaba1281"),
"email": "test2@gmail.com",
"password": "password",
"userName": "test2",
"companyName": "test2 company",
"apiKey": "Hhd87AD&jasd90dlK09aosdO",
"apiCallCount": 0,
"buildings": [
{
"_id": ObjectId("5d254bb179584ebcbb68b712"),
"buildingName": "RBC Bank Tower",
"address": "1 Front Street East",
"suite": "110",
"floor": "2nd floor",
"timeZone": "America/Toronto",
"gateways": [
{
"_id": ObjectId("5d254b64ba574040d9632ada"),
"gatewayName": "RBC-xaka-001",
"gatewayKey": "gk_d0202d93d0d29293a1",
"suite": "RBC1",
"devices": [
{
"_id": ObjectId("5d25f9d2dc4aea7838b0aaa1"),
"serialNumber": "100000100215",
"area": "Office 1",
"connectionStatus": 0,
"gatewayKey": "gk_d0202d93d0d29293a1",
"applicationNumber": 40,
"firmwareVersion": "v12.1.8",
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
},
{
"_id": ObjectId("5d25f9d2dc4aea7838b0aaa2"),
"serialNumber": "100000100216",
"area": "Office 2",
"connectionStatus": 0,
"gatewayKey": "gk_d0202d93d0d29293a1",
"applicationNumber": 41,
"firmwareVersion": "v12.1.8",
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
},
{
"_id": ObjectId("5d25f9d2dc4aea7838b0aaa3"),
"serialNumber": "100000100217",
"area": "Office 4",
"connectionStatus": 0,
"gatewayKey": "gk_d0202d93d0d29293a1",
"applicationNumber": 60,
"firmwareVersion": "v12.1.8",
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
],
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
},
{
"_id": ObjectId("5d254b7174d7b3a73dff342f"),
"gatewayName": "RBC-xaka-002",
"gatewayKey": "gk_d0202d93d0d29293a2",
"suite": "RBC2",
"devices": [
{
"_id": ObjectId("5d25f9d2dc4aea7838b0aaa0"),
"serialNumber": "100000100214",
"area": "Office 3",
"connectionStatus": 0,
"gatewayKey": "gk_d0202d93d0d29293a2",
"applicationNumber": 60,
"firmwareVersion": "v12.1.8",
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
],
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
],
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
],
"createdAt": new Date(1492305720000),
"updatedAt": new Date(1492305720000)
}
我正在尝试,但还没有成功的解决方案
更新:
我现在可以找到带有“verificationCode”4146的子集合,但我想得到整个文档,而不仅仅是子文档
const accounts = await Account.find();
const buildings = _.flatMap(accounts, a => a.buildings)
const gateways = _.flatMap(buildings, b => b.gateways);
const devices = _.flatMap(gateways, g => g.devices);
const device = _.filter(devices, d => d.verificationCode === '4146');
上面的代码只返回经过过滤的数据。我需要获取文档顶部的_id或电子邮件 您可以使用mongodb聚合来获得
const accounts = await Account.find();
const buildings = _.flatMap(accounts, a => a.buildings)
const gateways = _.flatMap(buildings, b => b.gateways);
const devices = _.flatMap(gateways, g => g.devices);
const device = _.filter(devices, d => d.verificationCode === '4146');
Account..aggregate([
{$match:{'buildings.gateways.devices.verificationCode':"4146"}},
{$unwind:"$buildings"},
{$unwind:"$buildings.gateways"},
{$unwind:"$buildings.gateways.devices"},
{$match:{'buildings.gateways.devices.verificationCode':"4146"}}
])
我觉得我找到了更优雅的解决方案
const account = await Account.find({ "buildings.gateways.devices.verificationCode": code })
const accountId = account.map(item => item._id)
这对我有用。使用find的聚合insead。如果您只需要匹配文档的_id或电子邮件,您可以使用以下解决方案。