Struct aws_sdk_appsync::input::CreateResolverInput
source · #[non_exhaustive]pub struct CreateResolverInput { /* private fields */ }
Implementations§
source§impl CreateResolverInput
impl CreateResolverInput
sourcepub async fn make_operation(
&self,
_config: &Config
) -> Result<Operation<CreateResolver, AwsResponseRetryClassifier>, BuildError>
pub async fn make_operation(
&self,
_config: &Config
) -> Result<Operation<CreateResolver, AwsResponseRetryClassifier>, BuildError>
Consumes the builder and constructs an Operation<CreateResolver
>
sourcepub fn builder() -> Builder
pub fn builder() -> Builder
Creates a new builder-style object to manufacture CreateResolverInput
.
source§impl CreateResolverInput
impl CreateResolverInput
sourcepub fn api_id(&self) -> Option<&str>
pub fn api_id(&self) -> Option<&str>
The ID for the GraphQL API for which the resolver is being created.
sourcepub fn field_name(&self) -> Option<&str>
pub fn field_name(&self) -> Option<&str>
The name of the field to attach the resolver to.
sourcepub fn data_source_name(&self) -> Option<&str>
pub fn data_source_name(&self) -> Option<&str>
The name of the data source for which the resolver is being created.
sourcepub fn request_mapping_template(&self) -> Option<&str>
pub fn request_mapping_template(&self) -> Option<&str>
The mapping template to use 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 an Lambda data source. For all other data sources, VTL request and response mapping templates are required.
sourcepub fn response_mapping_template(&self) -> Option<&str>
pub fn response_mapping_template(&self) -> Option<&str>
The mapping template to use for responses from the data source.
sourcepub fn kind(&self) -> Option<&ResolverKind>
pub fn 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.
sourcepub fn pipeline_config(&self) -> Option<&PipelineConfig>
pub fn pipeline_config(&self) -> Option<&PipelineConfig>
The PipelineConfig
.
sourcepub fn sync_config(&self) -> Option<&SyncConfig>
pub fn sync_config(&self) -> Option<&SyncConfig>
The SyncConfig
for a resolver attached to a versioned data source.
sourcepub fn caching_config(&self) -> Option<&CachingConfig>
pub fn caching_config(&self) -> Option<&CachingConfig>
The caching configuration for the resolver.
sourcepub fn max_batch_size(&self) -> i32
pub fn max_batch_size(&self) -> i32
The maximum batching size for a resolver.
sourcepub fn runtime(&self) -> Option<&AppSyncRuntime>
pub fn 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.
Trait Implementations§
source§impl Clone for CreateResolverInput
impl Clone for CreateResolverInput
source§fn clone(&self) -> CreateResolverInput
fn clone(&self) -> CreateResolverInput
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moresource§impl Debug for CreateResolverInput
impl Debug for CreateResolverInput
source§impl PartialEq<CreateResolverInput> for CreateResolverInput
impl PartialEq<CreateResolverInput> for CreateResolverInput
source§fn eq(&self, other: &CreateResolverInput) -> bool
fn eq(&self, other: &CreateResolverInput) -> bool
self
and other
values to be equal, and is used
by ==
.