我想在联赛表中列出所有赛季和分区,正如您在 data > seasons
中看到的那样.我已经设置了它,因为我相信它可以使用@connection。
所以问题是,我将如何更改我的划分模式,以便将划分包含在 League
中.
我花了很长时间阅读 @connections & @key并了解当使用 key 时,会使用 ID
创建散列。我已经给了他们。但是我多次阅读连接文档后对为什么这不起作用的理解不够。
我很想更好地理解这一点,所以我尽我所能去尝试理解!
n.b 我相信值得一提的是,每次我更改架构和 amplify mock
重建哈希键,它们被添加。我想知道这是否有一些影响?当涉及到键时,我是否应该在每次架构更改时完全清理 SQLite?
联赛模式
type League @model
{
id: ID!
name: String!
faId: ID!
logo: String
seasons: [Season] @connection(keyName: "bySeason", fields: ["id"])
division: [Division] @connection(keyName: "byDivision", fields: ["id"])
}
四季沙马type Season @model @key(name: "bySeason", fields: ["leagueID"])
{
id: ID!
name: String!
faId: ID!
yearStart: AWSDate
yearEnd: AWSDate
leagueID: ID!
league: League! @connection(fields: ["leagueID"])
division: [Division] @connection(keyName: "byDivision", fields: ["id"])
}
划分模式type Division @model
@key(name: "byDivisionFromSeason", fields: ["leagueID" "name"])
@key(name: "byDivision", fields: ["seasonID", "leagueID"])
{
id: ID!
name: String!
faId: ID!
divisionSeasonFaId: String
leagueID: ID!
seasonID: ID!
league: League! @connection(fields: ["leagueID"])
season: Season! @connection(fields: ["seasonID"])
teams: [TeamConnection] @connection(keyName: "byTeamDivision", fields: ["id"])
games: [Game] @connection(keyName: "byGameForDivision", fields: ["id"])
ageInput: String!
level: Int!
}
查询 listLeagues {
items {
name
division {
items {
name
}
}
seasons {
items {
name
division {
items {
name
}
}
}
}
}
}
数据我在这里证明了结构是正确的
Seasons
包含在 League
中有Divisions
正如预期的那样{
"data": {
"listLeagues": {
"items": [
{
"name": "Southern Amateur League",
"division": {
"items": []
},
"seasons": {
"items": [
{
"name": "2020-21",
"division": {
"items": [
{
"name": "Junior Section Division 5B South"
},
{
"name": "Junior Section Division 4 South"
},
{
"name": "Intermediate Division 3"
},
]
}
},
{
"name": "2019-20",
"division": {
"items": []
}
},
]
}
}
]
}
}
}
编辑由于仅将除法上的键减少到
seasonID
和 leagueID
在每个键上,清除数据时似乎会引发异常错误。我曾相信 @connection 上的 return null 是完全有效的?最佳答案
也许这应该是评论而不是实际答案,但我需要描述架构,如果您认为合适,我稍后会删除它。
杰米,只是为了测试,你能试试下面的模式吗?与纳德提出的架构基本相同,只是去掉了 name
字段。来自 key
上 Division
:
type League @model
{
id: ID!
name: String!
faId: ID!
logo: String
seasons: [Season] @connection(keyName: "bySeason", fields: ["id"])
division: [Division] @connection(keyName: "byDivision", fields: ["id"])
}
type Season @model @key(name: "bySeason", fields: ["leagueID"])
{
id: ID!
name: String!
faId: ID!
yearStart: AWSDate
yearEnd: AWSDate
leagueID: ID!
league: League! @connection(fields: ["leagueID"])
division: [Division] @connection(keyName: "byDivisionFromSeason", fields: ["id"])
}
type Division @model
@key(name: "byDivisionFromSeason", fields: ["seasonID", "leagueID"])
@key(name: "byDivision", fields: ["leagueID", "seasonID"])
{
id: ID!
name: String!
faId: ID!
divisionSeasonFaId: String
leagueID: ID!
seasonID: ID!
league: League! @connection(fields: ["leagueID"])
season: Season! @connection(fields: ["seasonID"])
teams: [TeamConnection] @connection(keyName: "byTeamDivision", fields: ["id"])
games: [Game] @connection(keyName: "byGameForDivision", fields: ["id"])
ageInput: String!
level: Int!
}
我认为您获得的错误,即:"errors": [ { "message": "Query condition missed key schema element", "errorType": "DynamoDB:ValidationException", "data": null, "errorInfo": null, "path": [ "listLeagues", "items", 1, "division" ], "locations": [ { "line": 10, "column": 9, "sourceName": "GraphQL request" } ] }
可以通过使用条件 name
运行查询来激发.
关于javascript - GraphQL AWS Amplify @connection 未引入连接数据,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/64234829/