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pub struct UpdateResolverRequest {
    pub api_id: String,
    pub caching_config: Option<CachingConfig>,
    pub data_source_name: Option<String>,
    pub field_name: String,
    pub kind: Option<String>,
    pub pipeline_config: Option<PipelineConfig>,
    pub request_mapping_template: Option<String>,
    pub response_mapping_template: Option<String>,
    pub sync_config: Option<SyncConfig>,
    pub type_name: String,
}

Fields

api_id: String

The API ID.

caching_config: Option<CachingConfig>

The caching configuration for the resolver.

data_source_name: Option<String>

The new data source name.

field_name: String

The new field name.

kind: Option<String>

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.

request_mapping_template: Option<String>

The new request mapping template.

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 new response mapping template.

sync_config: Option<SyncConfig>

The SyncConfig for a resolver attached to a versioned datasource.

type_name: String

The new type name.

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