Struct aws_sdk_appsync::operation::update_resolver::builders::UpdateResolverFluentBuilder

pub struct UpdateResolverFluentBuilder { /* private fields */ }

Fluent builder constructing a request to UpdateResolver.

Updates a Resolver object.

Implementations

impl UpdateResolverFluentBuilder

pub fn as_input(&self) -> &UpdateResolverInputBuilder

Access the UpdateResolver as a reference.

pub async fn send( self ) -> Result<UpdateResolverOutput, SdkError<UpdateResolverError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn customize( self ) -> CustomizableOperation<UpdateResolverOutput, UpdateResolverError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

pub fn api_id(self, input: impl Into<String>) -> Self

The API ID.

pub fn set_api_id(self, input: Option<String>) -> Self

The API ID.

pub fn get_api_id(&self) -> &Option<String>

The API ID.

pub fn type_name(self, input: impl Into<String>) -> Self

The new type name.

pub fn set_type_name(self, input: Option<String>) -> Self

The new type name.

pub fn get_type_name(&self) -> &Option<String>

The new type name.

pub fn field_name(self, input: impl Into<String>) -> Self

The new field name.

pub fn set_field_name(self, input: Option<String>) -> Self

The new field name.

pub fn get_field_name(&self) -> &Option<String>

The new field name.

pub fn data_source_name(self, input: impl Into<String>) -> Self

The new data source name.

pub fn set_data_source_name(self, input: Option<String>) -> Self

The new data source name.

pub fn get_data_source_name(&self) -> &Option<String>

The new data source name.

pub fn request_mapping_template(self, input: impl Into<String>) -> Self

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 an Lambda data source. For all other data sources, VTL request and response mapping templates are required.

pub fn set_request_mapping_template(self, input: Option<String>) -> Self

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 an Lambda data source. For all other data sources, VTL request and response mapping templates are required.

pub fn get_request_mapping_template(&self) -> &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 an Lambda data source. For all other data sources, VTL request and response mapping templates are required.

pub fn response_mapping_template(self, input: impl Into<String>) -> Self

The new response mapping template.

pub fn set_response_mapping_template(self, input: Option<String>) -> Self

The new response mapping template.

pub fn get_response_mapping_template(&self) -> &Option<String>

The new response mapping template.

pub fn kind(self, input: ResolverKind) -> Self

The resolver type.

• UNIT: A UNIT resolver type. A UNIT resolver is the default resolver type. You can use a UNIT resolver to run a GraphQL query against a single data source.

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

pub fn set_kind(self, input: Option<ResolverKind>) -> Self

The resolver type.

• UNIT: A UNIT resolver type. A UNIT resolver is the default resolver type. You can use a UNIT resolver to run a GraphQL query against a single data source.

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

pub fn get_kind(&self) -> &Option<ResolverKind>

The resolver type.

• UNIT: A UNIT resolver type. A UNIT resolver is the default resolver type. You can use a UNIT resolver to run a GraphQL query against a single data source.

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

pub fn pipeline_config(self, input: PipelineConfig) -> Self

The PipelineConfig.

pub fn set_pipeline_config(self, input: Option<PipelineConfig>) -> Self

The PipelineConfig.

pub fn get_pipeline_config(&self) -> &Option<PipelineConfig>

The PipelineConfig.

pub fn sync_config(self, input: SyncConfig) -> Self

The SyncConfig for a resolver attached to a versioned data source.

pub fn set_sync_config(self, input: Option<SyncConfig>) -> Self

The SyncConfig for a resolver attached to a versioned data source.

pub fn get_sync_config(&self) -> &Option<SyncConfig>

The SyncConfig for a resolver attached to a versioned data source.

pub fn caching_config(self, input: CachingConfig) -> Self

The caching configuration for the resolver.

pub fn set_caching_config(self, input: Option<CachingConfig>) -> Self

The caching configuration for the resolver.

pub fn get_caching_config(&self) -> &Option<CachingConfig>

The caching configuration for the resolver.

pub fn max_batch_size(self, input: i32) -> Self

The maximum batching size for a resolver.

pub fn set_max_batch_size(self, input: Option<i32>) -> Self

The maximum batching size for a resolver.

pub fn get_max_batch_size(&self) -> &Option<i32>

The maximum batching size for a resolver.

pub fn runtime(self, input: AppSyncRuntime) -> Self

Describes a runtime used by an Amazon Web Services AppSync pipeline resolver or Amazon Web Services AppSync function. Specifies the name and version of the runtime to use. Note that if a runtime is specified, code must also be specified.

pub fn set_runtime(self, input: Option<AppSyncRuntime>) -> Self

Describes a runtime used by an Amazon Web Services AppSync pipeline resolver or Amazon Web Services AppSync function. Specifies the name and version of the runtime to use. Note that if a runtime is specified, code must also be specified.

pub fn get_runtime(&self) -> &Option<AppSyncRuntime>

Describes a runtime used by an Amazon Web Services AppSync pipeline resolver or Amazon Web Services AppSync function. Specifies the name and version of the runtime to use. Note that if a runtime is specified, code must also be specified.

pub fn code(self, input: impl Into<String>) -> Self

The resolver code that contains the request and response functions. When code is used, the runtime is required. The runtime value must be APPSYNC_JS.

pub fn set_code(self, input: Option<String>) -> Self

The resolver code that contains the request and response functions. When code is used, the runtime is required. The runtime value must be APPSYNC_JS.

pub fn get_code(&self) -> &Option<String>

The resolver code that contains the request and response functions. When code is used, the runtime is required. The runtime value must be APPSYNC_JS.

Trait Implementations

impl Clone for UpdateResolverFluentBuilder

fn clone(&self) -> UpdateResolverFluentBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for UpdateResolverFluentBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.