Mongodb 筛选mongo文档和特定于项目的字段
我是MongoDb的初学者。尝试了很多次,但仍停留在一个问题上。 请在下面给出的页面上查找mongo文档示例:Mongodb 筛选mongo文档和特定于项目的字段,mongodb,aggregation,Mongodb,Aggregation,我是MongoDb的初学者。尝试了很多次,但仍停留在一个问题上。 请在下面给出的页面上查找mongo文档示例: { "_id" : ObjectId("5dc158a60566e14c5190db72"), "hotel_id" : NumberInt(45), "plans" : [ { "plan_type" : "AP", "sub_plans" : [ {
{
"_id" : ObjectId("5dc158a60566e14c5190db72"),
"hotel_id" : NumberInt(45),
"plans" : [
{
"plan_type" : "AP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0Y280000023LFwEAM",
"breakfast_start_time" : null,
"breakfast_end_time" : null,
"lunch_start_time" : null,
"lunch_end_time" : null,
"dinner_start_time" : null,
"dinner_end_time" : null,
"created_at" : NumberLong(1468577718000),
"updated_at" : NumberLong(1481074321000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(400),
"non_veg_price" : null,
"additional_non_veg_price" : null,
"discount" : null
}
]
},
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0W28000004GqL4",
"breakfast_start_time" : "7:30",
"breakfast_end_time" : "10:00",
"lunch_start_time" : "12:30",
"lunch_end_time" : "15:00",
"dinner_start_time" : "19:00",
"dinner_end_time" : "22:30",
"created_at" : NumberLong(1505516604000),
"updated_at" : NumberLong(1505516604000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(425),
"non_veg_price" : NumberInt(425),
"additional_non_veg_price" : 0.0,
"discount" : null
}
]
},
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0W28000004GqL4",
"breakfast_start_time" : "7:30",
"breakfast_end_time" : "10:00",
"lunch_start_time" : "12:30",
"lunch_end_time" : "15:00",
"dinner_start_time" : "19:00",
"dinner_end_time" : "22:30",
"created_at" : NumberLong(1505709978000),
"updated_at" : NumberLong(1542162045000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(425),
"non_veg_price" : NumberInt(425),
"additional_non_veg_price" : 0.0,
"discount" : null
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
},
{
"plan_type" : "EP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : null,
"ep_price_reduction" : NumberInt(80),
"salesforce_id" : "a0Y280000023LG1EAM",
"breakfast_start_time" : null,
"breakfast_end_time" : null,
"lunch_start_time" : null,
"lunch_end_time" : null,
"dinner_start_time" : null,
"dinner_end_time" : null,
"created_at" : NumberLong(1468577718000),
"updated_at" : NumberLong(1481074321000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : null,
"non_veg_price" : null,
"additional_non_veg_price" : null,
"discount" : null
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
},
{
"plan_type" : "MAP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0Y280000023LG6EAM",
"breakfast_start_time" : null,
"breakfast_end_time" : null,
"lunch_start_time" : null,
"lunch_end_time" : null,
"dinner_start_time" : null,
"dinner_end_time" : null,
"created_at" : NumberLong(1468577718000),
"updated_at" : NumberLong(1481074321000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(200),
"non_veg_price" : null,
"additional_non_veg_price" : null,
"discount" : null
}
]
},
{
"channel_name" : "default",
"status" : "Pending",
"is_active" : false,
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"non_veg_available" : null,
"oyo_commission" : 20.0,
"ep_price_reduction" : null,
"salesforce_id" : "a0W28000004GqL4",
"breakfast_start_time" : "7:30",
"breakfast_end_time" : "10:00",
"lunch_start_time" : "12:30",
"lunch_end_time" : "15:00",
"dinner_start_time" : "19:00",
"dinner_end_time" : "22:30",
"created_at" : NumberLong(1505709978000),
"updated_at" : NumberLong(1541476001000),
"prices" : [
{
"occupancy" : NumberInt(1),
"guest_type" : null,
"veg_price" : NumberInt(225),
"non_veg_price" : NumberInt(225),
"additional_non_veg_price" : 0.0,
"discount" : null
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
}
]
}
在以下情况下,我只需要选定的字段:
酒店id为45,入住价格为1,活动状态为假,状态为待定,计划类型为['AP','EP']。
期望输出:
{
"_id" : ObjectId("5dc158a60566e14c5190db72"),
"hotel_id" : NumberInt(45),
"plans" : [
{
"plan_type" : "AP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"prices" : [
{
"veg_price" : NumberInt(425)
}
]
},
{
"channel_name" : "default",
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"prices" : [
{
"veg_price" : NumberInt(425)
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
},
{
"plan_type" : "EP",
"sub_plans" : [
{
"channels" : [
{
"channel_name" : "default",
"start_date" : NumberLong(1468521000000),
"end_date" : NumberLong(1901125800000),
"prices" : [
{
"veg_price" : null,
}
]
}
],
"sub_plan_type" : "Standard",
"is_sub_plan_default" : false
}
]
},
]
}
我的问题是:
db.collection.find({
"hotel_id": 45,
"plans.plan_type": {$in : ["AP", "EP"]},
"plans.sub_plans.channels.prices.occupancy": 1,
"plans.sub_plans.channels.is_active": false,
"plans.sub_plans.channels.status": "Pending"
})
注意-我只需要搜索一个酒店id为45的文档。
请帮忙。
提前感谢。您需要应用聚合
db.collection_name.aggregate([
{
"$match":{
"hotel_id": 45,
"plans.plan_type": "AP",
"plans.sub_plans.channels.prices.occupancy": 1,
"plans.sub_plans.channels.is_active": false,
"plans.sub_plans.channels.status": "Pending"
}
},
{
"$project":{
"_id":"$_id",
"hotel_id":"$hotel_id",
"plans":"plans"
}
}
])
您可能正在寻找这样的查询
db.collection.aggregate([
{
"$unwind": "$plans",
},
{
"$group": {
"_id": "$hotel_id",
"hotel_id": {
"$first": "$hotel_id"
},
"plans": {
"$push": {
"$cond": [
{
"$or": [
{
"$eq": [
"$plans.plan_type",
"AP"
]
},
{
"$eq": [
"$plans.plan_type",
"EP"
]
}
]
},
{
"plan_type": "$plans.plan_type",
"sub_plans": "$plans.sub_plans",
"sub_plan_type": "$plans.sub_plan_type",
"is_sub_plan_default": "$is_sub_plan_default"
},
null
]
}
}
}
},
{
"$project": {
"_id": 1,
"hotel_id": 1,
"plans": {
"$filter": {
input: "$plans",
as: "plan",
cond: {
$ne: [
"$$plan",
null
]
}
}
}
}
}
])
谢谢你的回复。但您的查询包含所有计划的结果。我只想要“AP”计划。请看一看并进一步建议。``db.collection\u name.aggregate([{“$match”:{“hotel\u id”:45,“plans.sub\u plans.Channel.prices.Occupation”:1,“plans.sub\u plans.Channel.is\u active”:false,“plans.sub\u plans.Channel.status”:“待定”},{“$match”:{“plans.plan_type”:{“$in”:['AP']}}},{“$project”:{“$id”:“$id”,“hotel_id”:“$hotel_id”,“plans”:“plans”}})“``请再次检查。它不起作用。第一个不起作用,第二个不返回任何文件。请建议。请参阅下面链接的mongo Playder上的第一个正在工作。将答案修改为“NumberPrint(45)”而不是“45”。如何工作?它似乎在mongoplayground上创建的设置上工作。有什么不同?首先,它不工作,请参见。