Struct aws_sdk_appsync::input::CreateResolverInput[][src]

#[non_exhaustive]
pub struct CreateResolverInput { pub api_id: Option<String>, pub type_name: Option<String>, pub field_name: Option<String>, pub data_source_name: Option<String>, pub request_mapping_template: Option<String>, pub response_mapping_template: Option<String>, pub kind: Option<ResolverKind>, pub pipeline_config: Option<PipelineConfig>, pub sync_config: Option<SyncConfig>, pub caching_config: Option<CachingConfig>, }

Fields (Non-exhaustive)

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
api_id: Option<String>

The ID for the GraphQL API for which the resolver is being created.

type_name: Option<String>

The name of the Type.

field_name: Option<String>

The name of the field to attach the resolver to.

data_source_name: Option<String>

The name of the data source for which the resolver is being created.

request_mapping_template: Option<String>

The mapping template to be used for requests.

A resolver uses a request mapping template to convert a GraphQL expression into a format that a data source can understand. Mapping templates are written in Apache Velocity Template Language (VTL).

VTL request mapping templates are optional when using a Lambda data source. For all other data sources, VTL request and response mapping templates are required.

response_mapping_template: Option<String>

The mapping template to be used for responses from the data source.

kind: Option<ResolverKind>

The resolver type.

  • UNIT: A UNIT resolver type. A UNIT resolver is the default resolver type. A UNIT resolver enables you to execute a GraphQL query against a single data source.

  • PIPELINE: A PIPELINE resolver type. A PIPELINE resolver enables you to execute a series of Function in a serial manner. You can use a pipeline resolver to execute a GraphQL query against multiple data sources.

pipeline_config: Option<PipelineConfig>

The PipelineConfig.

sync_config: Option<SyncConfig>

The SyncConfig for a resolver attached to a versioned datasource.

caching_config: Option<CachingConfig>

The caching configuration for the resolver.

Implementations

Consumes the builder and constructs an Operation<CreateResolver>

Creates a new builder-style object to manufacture CreateResolverInput

The ID for the GraphQL API for which the resolver is being created.

The name of the Type.

The name of the field to attach the resolver to.

The name of the data source for which the resolver is being created.

The mapping template to be used for requests.

A resolver uses a request mapping template to convert a GraphQL expression into a format that a data source can understand. Mapping templates are written in Apache Velocity Template Language (VTL).

VTL request mapping templates are optional when using a Lambda data source. For all other data sources, VTL request and response mapping templates are required.

The mapping template to be used for responses from the data source.

The resolver type.

  • UNIT: A UNIT resolver type. A UNIT resolver is the default resolver type. A UNIT resolver enables you to execute a GraphQL query against a single data source.

  • PIPELINE: A PIPELINE resolver type. A PIPELINE resolver enables you to execute a series of Function in a serial manner. You can use a pipeline resolver to execute a GraphQL query against multiple data sources.

The PipelineConfig.

The SyncConfig for a resolver attached to a versioned datasource.

The caching configuration for the resolver.

Trait Implementations

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