In GraphQL, you can pass object type arguments in a query by defining the input object type in your schema and then using this type as an argument for your query. To do this, you need to create a new input object type in your schema, define the fields that you want to pass as arguments, and then use this input object type as an argument in your query.
For example, if you want to pass an object with fields "name" and "age" in a query, you would define an input object type in your schema like this:
input PersonInput { name: String age: Int }
Then, you can use this input object type as an argument in your query like this:
query { getPerson(person: PersonInput) { name age } }
When you send a query with the input object type as an argument, you need to pass the object with the specified fields like this:
{ "query": "query { getPerson(person: { name: 'John', age: 30 }) { name age } }" }
This way, you can pass object type arguments in a query in GraphQL by defining an input object type in your schema and using it as an argument in your queries.
How to validate object type arguments in graphql queries?
In GraphQL, you can validate object type arguments by using input types. Input types allow you to define complex input objects with specific fields and data types.
Here's an example of how you can create an input type for a custom object and validate it in a GraphQL query:
- Define an input type in your GraphQL schema:
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input CreateUserInput { name: String! email: String! age: Int! } |
- Use the input type as an argument in a mutation field:
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type Mutation { createUser(input: CreateUserInput!): User! } |
- Implement the resolver function for the mutation and validate the input object:
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const resolvers = { Mutation: { createUser: (parent, { input }, context) => { // Validate the input object if (!input.name || !input.email || !input.age) { throw new Error('Missing required fields in input object'); } // Create a new user using the input object const newUser = createUser(input); return newUser; } } }; |
By using input types in GraphQL, you can easily validate object type arguments and ensure that the input object contains all the required fields and data types. If the input object is invalid, you can throw an error and provide a descriptive message to the client.
How to handle object type arguments in graphql unions?
In GraphQL, unions are used to represent a type that can be one of several specified object types. When working with unions that accept object type arguments, you can handle it in the following way:
- Define a union type in your schema that represents the possible object types that can be returned. For example, you can define a union type like so:
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union SearchResult = Book | Movie | Author
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- Define a query or a field that returns the union type as its return type. For example, you can define a query like so:
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type Query { search(query: String!): [SearchResult] } |
- Handle the object type arguments in the resolver for the query or field that returns the union type. In the resolver function, you can use the __typename field that is automatically added to each object type in a union, to determine the type of the object and take appropriate actions based on the type. For example, you can retrieve a specific field value based on the object type like so:
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const resolvers = { Query: { search: (_, { query }) => { // perform search logic to get results return results.map(result => ({ ...result, __typename: result.type })); }, }, SearchResult: { __resolveType(obj) { if (obj.__typename === 'Book') { return 'Book'; } if (obj.__typename === 'Movie') { return 'Movie'; } if (obj.__typename === 'Author') { return 'Author'; } return null; }, Book: { title: (obj) => obj.title, }, Movie: { title: (obj) => obj.title, }, Author: { name: (obj) => obj.name, }, }, }; |
By following these steps, you can handle object type arguments in GraphQL unions effectively and return the appropriate object type based on the input arguments.
How to handle optional object type arguments in graphql?
In GraphQL, you can handle optional object type arguments by defining the argument as a nullable type in the schema. This allows the argument to be passed as null if it is not provided by the client.
Here's an example of how you can define and handle an optional object type argument in a GraphQL schema:
- Define the object type argument in your schema:
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type Query { getUser(id: ID!, filter: UserFilter): User } input UserFilter { name: String age: Int } |
- Handle the optional object type argument in your resolver function:
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const resolvers = { Query: { getUser: (parent, args, context, info) => { // Check if the filter argument is provided if (args.filter) { // Apply any filtering logic based on the filter object } // Retrieve user data based on the provided ID // Return the user object } } } |
- Use the optional object type argument in your GraphQL query:
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query { getUser(id: "123", filter: { name: "John", age: 30 }) { id name age } } |
In this example, the filter
argument is optional and can be passed as null
if not provided by the client. Inside the resolver function, you can check if the filter
argument is provided and use the object properties to apply any filtering logic.