使用Spring从MongoDb获取数据

Question

我正在根据酒店搜索测试一种情况。 所以我做了3个模型班，分别是酒店，房间和空房

下面是我们正在使用的三个Model类。

酒店.java

@Document（collection =“ Hotels”）公共类酒店{

@Id
private String id;

private String name;

private Long pincode;

@Field("roomCategoryDocs")
private Object roomCategoryDocs;

public String getId() {
    return id;
}

public void setId(String id) {
    this.id = id;
}

public String getName() {
    return name;
}

public void setName(String name) {
    this.name = name;
}

public Long getPincode() {
    return pincode;
}

public void setPincode(Long pincode) {
    this.pincode = pincode;
}

public Object getRoomCategoryDocs() {
    return roomCategoryDocs;
}

public void setRoomCategoryDocs(Object roomCategoryDocs) {
    this.roomCategoryDocs = roomCategoryDocs;
}

@Override
public String toString() {
    return String.format("Hotel [id=%s, name=%s, pincode=%s, roomCategoryDocs=%s]", id, name, pincode,
            roomCategoryDocs);
}

}

Room.java

@Document（collection =“ rooms”）公共课堂Room {

@Id
private String id;

private String frontImg;

private String category;

private ObjectId hotelId;

@Field("availabilityDocs")
private Object availabilityDocs;

public String getId() {
    return id;
}

public void setId(String id) {
    this.id = id;
}

public String getFrontImg() {
    return frontImg;
}

public void setFrontImg(String frontImg) {
    this.frontImg = frontImg;
}

public String getCategory() {
    return category;
}

public void setCategory(String category) {
    this.category = category;
}

public ObjectId getHotelId() {
    return hotelId;
}

public void setHotelId(ObjectId hotelId) {
    this.hotelId = hotelId;
}

public Object getAvailabilityDocs() {
    return availabilityDocs;
}

public void setAvailabilityDocs(Object availabilityDocs) {
    this.availabilityDocs = availabilityDocs;
}

@Override
public String toString() {
    return String.format("Room [id=%s, frontImg=%s, category=%s, hotelId=%s, availabilityDocs=%s]", id, frontImg,
            category, hotelId, availabilityDocs);
}

}

Availability.java

@Document（collection =“ rooms”）公共类可用性{

@Id
private String id;

private ObjectId roomId;

private Integer availability;

private Double rate;

private String date;

public String getId() {
    return id;
}

public void setId(String id) {
    this.id = id;
}

public ObjectId getRoomId() {
    return roomId;
}

public void setRoomId(ObjectId roomId) {
    this.roomId = roomId;
}

public Integer getAvailability() {
    return availability;
}

public void setAvailability(Integer availability) {
    this.availability = availability;
}

public Double getRate() {
    return rate;
}

public void setRate(Double rate) {
    this.rate = rate;
}

public String getDate() {
    return date;
}

public void setDate(String date) {
    this.date = date;
}

@Override
public String toString() {
    return String.format("Availability [id=%s, roomId=%s, availability=%s, rate=%s, date=%s]", id, roomId,
            availability, rate, date);
}

}

这些存储在两个mongodb集合中，一个用于酒店，另一个用于房间和可用性。

下面是我们从中获取数据的Controller类的方法

@GetMapping（value =“ / hotel”）公共列表getAllHotel（）{

    Aggregation agg = newAggregation(match(Criteria.where("pincode").lt(800080)),
            lookup("rooms", "_id", "hotelId", "roomCategoryDocs"), unwind("roomCategoryDocs", true),
            lookup("rooms", "roomCategoryDocs._id", "roomId", "roomCategoryDocs.availabilityDocs"),
            unwind("roomCategoryDocs", true), 
            group("_id").first("name").as("name").last("pincode").as("pincode").push("roomCategoryDocs").as("roomCategoryDocs")

    );

    // Convert the aggregation result into a List
    AggregationResults<Hotel> groupResults = mongoTemplate.aggregate(agg, "Hotels", Hotel.class);
    List<Hotel> result = groupResults.getMappedResults();

    return result;

}

现在，在获取酒店数据时，我们将获取房间和空房情况下的所有数据。

我们得到的输出：

[
  {
    "id": "59fabce1acd8be143417b101",
    "name": "Elegance",
    "pincode": 700042,
    "availabilityDocs": [
      {
        "id": "59fabe39acd8be143417b103",
        "frontImg": "google.com/1234",
        "category": "Deluxe",
        "hotelId": {
          "timestamp": 1509604577,
          "machineIdentifier": 11327678,
          "processIdentifier": 5172,
          "counter": 1552641,
          "timeSecond": 1509604577,
          "time": 1509604577000,
          "date": 1509604577000
        },
        "availabilityDocs1": [
          {
            "id": "59fabf66acd8be14344a2df3",
            "roomId": {
              "timestamp": 1509604921,
              "machineIdentifier": 11327678,
              "processIdentifier": 5172,
              "counter": 1552643,
              "timeSecond": 1509604921,
              "time": 1509604921000,
              "date": 1509604921000
            },
            "availability": 10,
            "rate": 4000,
            "date": "2017-10-11"
          },
          {
                 "id": "59fae259acd8be264cf4430f",
                  "roomId": {
                         "timestamp": 1509604921,
                            "machineIdentifier": 11327678,
                            "processIdentifier": 5172,
                            "counter": 1552643,
                            "timeSecond": 1509604921,
                            "time": 1509604921000,
                            "date": 1509604921000
                        },
                        "availability": 11,
                        "rate": 4001,
                        "date": "2017-10-12"
                }
        ]
      }
    ]
  }
]

但是，现在我们陷入了一个问题，即基于date属性进行搜索。

预期输出：

在这里，我们只想获取2017年10月10日以来的数据。

  {
    "id": "59fabce1acd8be143417b101",
    "name": "Elegance",
    "pincode": 700042,
    "availabilityDocs": [
      {
        "id": "59fabe39acd8be143417b103",
        "frontImg": "google.com/1234",
        "category": "Deluxe",
        "hotelId": {
          "timestamp": 1509604577,
          "machineIdentifier": 11327678,
          "processIdentifier": 5172,
          "counter": 1552641,
          "timeSecond": 1509604577,
          "time": 1509604577000,
          "date": 1509604577000
        },
        "availabilityDocs1": [
          {
            "id": "59fabf66acd8be14344a2df3",
            "roomId": {
              "timestamp": 1509604921,
              "machineIdentifier": 11327678,
              "processIdentifier": 5172,
              "counter": 1552643,
              "timeSecond": 1509604921,
              "time": 1509604921000,
              "date": 1509604921000
            },
            "availability": 10,
            "rate": 4000,
            "date": "2017-10-11"
          }
}

以下是json集合示例酒店集合：

{ "_id" : ObjectId("59fabce1acd8be143417b101"), "name" : "Elegance", "pincode" : NumberLong(700042), "_class" : "com.lara.mongodb.domain.Hotel" }

客房集合示例：

{ "_id" : ObjectId("59fabf66acd8be14344a2df3"), "roomId" : ObjectId("59fabe39acd8be143417b103"), "availability" : 10, "rate" : 4000, "date" : "2017-10-11", "_class" : "com.lara.mongodb.domain.Availability" }

我愿意接受关于设计和任何其他想法的建议，因为我是新来的。 任何帮助将不胜感激。 谢谢。

Answer 1

老实说，我对您如何在同一个集合中编写两个实体有些困惑。 从您添加的示例集合中，我可以说出一个缺失。 但是抛开这个。 我将您的最终结果用作切入点。 所以我从以下开始：

{
    "id": "59fabce1acd8be143417b101",
    "name": "Elegance",
    "pincode": 700042,
    "availabilityDocs": [
      {
        "id": "59fabe39acd8be143417b103",
        "frontImg": "google.com/1234",
        "category": "Deluxe",
        "hotelId": {
          "timestamp": 1509604577,
          "machineIdentifier": 11327678,
          "processIdentifier": 5172,
          "counter": 1552641,
          "timeSecond": 1509604577,
          "time": 1509604577000,
          "date": 1509604577000
        },
        "availabilityDocs1": [
          {
            "id": "59fabf66acd8be14344a2df3",
            "roomId": {
              "timestamp": 1509604921,
              "machineIdentifier": 11327678,
              "processIdentifier": 5172,
              "counter": 1552643,
              "timeSecond": 1509604921,
              "time": 1509604921000,
              "date": 1509604921000
            },
            "availability": 10,
            "rate": 4000,
            "date": "2017-10-11"
          },
          {
                 "id": "59fae259acd8be264cf4430f",
                  "roomId": {
                         "timestamp": 1509604921,
                            "machineIdentifier": 11327678,
                            "processIdentifier": 5172,
                            "counter": 1552643,
                            "timeSecond": 1509604921,
                            "time": 1509604921000,
                            "date": 1509604921000
                        },
                        "availability": 11,
                        "rate": 4001,
                        "date": "2017-10-12"
                }
        ]
      }
    ]
  }

所以这是您进行汇总后的结果。 现在您只需要2017-10-11可用的2017-10-11 。 但是在结果数组中，您同时获得“ 2017-10-12”和“ 2017-10-11”。

因此，如果我得到了上述结果，则必须添加以下内容：

{
    $unwind: "$availabilityDocs"
},
{
    $unwind: "$availabilityDocs.availabilityDocs1"
},
{
    $match: {
        "availabilityDocs.availabilityDocs1.date" : "2017-10-11"
        }
}