53 lines
1.9 KiB
GraphQL
53 lines
1.9 KiB
GraphQL
# Example schema for simple movie review app
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# User table is keyed by Firebase Auth UID.
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type User @table {
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# `@default(expr: "auth.uid")` sets it to Firebase Auth UID during insert and upsert.
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id: String! @default(expr: "auth.uid")
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username: String! @col(dataType: "varchar(50)")
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# The `user: User!` field in the Review table generates the following one-to-many query field.
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# reviews_on_user: [Review!]!
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# The `Review` join table the following many-to-many query field.
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# movies_via_Review: [Movie!]!
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}
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# Movie is keyed by a randomly generated UUID.
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type Movie @table {
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# If you do not pass a 'key' to `@table`, Data Connect automatically adds the following 'id' column.
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# Feel free to uncomment and customize it.
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# id: UUID! @default(expr: "uuidV4()")
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title: String!
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imageUrl: String!
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genre: String
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}
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# MovieMetadata is a metadata attached to a Movie.
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# Movie <-> MovieMetadata is a one-to-one relationship
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type MovieMetadata @table {
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# @unique ensures each Movie can only one MovieMetadata.
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movie: Movie! @unique
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# The movie field adds the following foreign key field. Feel free to uncomment and customize it.
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# movieId: UUID!
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rating: Float
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releaseYear: Int
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description: String
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}
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# Reviews is a join table between User and Movie.
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# It has a composite primary keys `userUid` and `movieId`.
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# A user can leave reviews for many movies. A movie can have reviews from many users.
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# User <-> Review is a one-to-many relationship
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# Movie <-> Review is a one-to-many relationship
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# Movie <-> User is a many-to-many relationship
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type Review @table(name: "Reviews", key: ["movie", "user"]) {
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user: User!
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# The user field adds the following foreign key field. Feel free to uncomment and customize it.
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# userUid: String!
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movie: Movie!
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# The movie field adds the following foreign key field. Feel free to uncomment and customize it.
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# movieId: UUID!
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rating: Int
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reviewText: String
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reviewDate: Date! @default(expr: "request.time")
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}
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