Amazon dynamodb 如何将数据格式化为algolia
我正在学习如何使用Algolia,我有几个问题 我有一个table FreightDriver,它与table Truck有一对多的关系Amazon dynamodb 如何将数据格式化为algolia,amazon-dynamodb,algolia,Amazon Dynamodb,Algolia,我正在学习如何使用Algolia,我有几个问题 我有一个table FreightDriver,它与table Truck有一对多的关系 id: ID! name: String! email: String! phoneNumber: String! cities: [String!]! state: String! country: String! picture: String trucks: [Truck] @connection(keyName: "byFreightDriv
id: ID!
name: String!
email: String!
phoneNumber: String!
cities: [String!]!
state: String!
country: String!
picture: String
trucks: [Truck] @connection(keyName: "byFreightDriver", fields: ["id"])
然后,桌上卡车,它与桌上货车司机有一对一的关系,还有另一个桌,也是Box一对一的关系
id: ID!
freightDriverId: ID!
boxId: ID!
brand: String!
model: String!
yearModel: Int!
// and more fields
freightDriver: FreightDriver @connection(fields: ["freightDriverId"])
box: Box @connection(fields: ["boxId"])
和桌上的盒子:
id: ID!
type: String!
width: Float!
height: Float!
depth: Float!
我想根据货运司机所在的州和城市来查找卡车,并且(如果用户需要的话)根据箱子类型和卡车的品牌或型号来查找(作为示例)
按州和城市查找货运司机的示例:
{
"data": {
"freightDriversByState": {
"items": [
{
"name": "Andrés Montoya",
"cities": [
"GUADALAJARA"
],
"state": "JALISCO",
"country": "MX",
"trucks": {
"items": [
{
"brand": "chevrolet",
"model": "12",
"yearModel": 2020,
"box": {
"type": "Ganadera",
"width": 1,
"height": 2,
"depth": 3
}
},
{
"brand": "chevrolet",
"model": "12",
"yearModel": 2020,
"box": {
"type": "Seca (abierta)",
"width": 12,
"height": 12,
"depth": 12
}
},
{
"brand": "chevrolet",
"model": "12",
"yearModel": 2020,
"box": {
"type": "Seca (abierta)",
"width": 12,
"height": 12,
"depth": 12
}
},
{
"brand": "chevrolet",
"model": "Semi",
"yearModel": 2020,
"box": {
"type": "Seca (abierta)",
"width": 1,
"height": 2,
"depth": 3
}
},
{
"brand": "chevrolet",
"model": "12",
"yearModel": 2020,
"box": {
"type": "Seca (abierta)",
"width": 1,
"height": 2,
"depth": 3
}
},
{
"brand": "chevrolet",
"model": "12",
"yearModel": 2020,
"box": {
"type": "Volcadora",
"width": 1,
"height": 2,
"depth": 3
}
},
{
"brand": "hola",
"model": "12",
"yearModel": 12,
"box": {
"type": "Plataforma",
"width": 1,
"height": 2,
"depth": 3
}
},
{
"brand": "Ford",
"model": "12",
"yearModel": 2020,
"box": {
"type": "Seca (abierta)",
"width": 1,
"height": 2,
"depth": 1
}
},
{
"brand": "dasdas",
"model": "12",
"yearModel": 12231,
"box": {
"type": "Grúa",
"width": 1,
"height": 2,
"depth": 3
}
},
{
"brand": "Tesla",
"model": "Semi",
"yearModel": 2020,
"box": {
"type": "Seca (abierta)",
"width": 4,
"height": 4,
"depth": 2
}
}
]
}
},
{
"name": "Roberto mendez",
"cities": [
"GUADALAJARA"
],
"state": "JALISCO",
"country": "MX",
"trucks": {
"items": []
}
},
{
"name": "Fletes Jalisco Sa de Cv ",
"cities": [
"GUADALAJARA"
],
"state": "JALISCO",
"country": "MX",
"trucks": {
"items": [
{
"brand": "Ford",
"model": "F-450",
"yearModel": 2018,
"box": {
"type": "Seca (cerrada)",
"width": 2.7,
"height": 2.5,
"depth": 4.5
}
},
{
"brand": "Hiundai",
"model": "H100",
"yearModel": 2009,
"box": {
"type": "Seca (abierta)",
"width": 2.3,
"height": 2,
"depth": 4
}
},
{
"brand": "Hiundai",
"model": "H100",
"yearModel": 2020,
"box": {
"type": "Seca (abierta)",
"width": 2.35,
"height": 2,
"depth": 3
}
},
{
"brand": "Ford",
"model": "F-450",
"yearModel": 2018,
"box": {
"type": "Seca (cerrada)",
"width": 2.7,
"height": 2.2,
"depth": 3
}
},
{
"brand": "Ford",
"model": "F-450",
"yearModel": 2004,
"box": {
"type": "Seca (abierta)",
"width": 2.5,
"height": 2,
"depth": 3
}
}
]
}
},
{
"name": "Cotransport",
"cities": [
"GUADALAJARA"
],
"state": "JALISCO",
"country": "MX",
"trucks": {
"items": [
{
"brand": "Chevrolet",
"model": "CX-5",
"yearModel": 2019,
"box": {
"type": "Seca (cerrada)",
"width": 4,
"height": 3,
"depth": 4
}
}
]
}
},
{
"name": "Andrés",
"cities": [
"EL LIMÓN",
"MAGDALENA",
"SANTA MARÍA DEL ORO",
"GUADALAJARA",
"ETZATLÁN"
],
"state": "JALISCO",
"country": "MX",
"trucks": {
"items": [
{
"brand": "chevrolet",
"model": "12",
"yearModel": 2020,
"box": {
"type": "Seca (abierta)",
"width": 1,
"height": 2,
"depth": 3
}
}
]
}
}
]
}
}
}
但是,如果我想使用货运司机所在的州和城市、箱子的类型以及卡车的型号或品牌,这就是问题所在,因为我使用的是Dynamodb,而这一个没有关系,因此,获取准确数据有点棘手。这就是我想使用Algolia的原因,但是在这种情况下,如何格式化Algolia的数据呢?我需要做什么?谢谢 如果有人感兴趣,下面是答案