Struct aws_sdk_appsync::model::Resolver

#[non_exhaustive]
pub struct Resolver {
    pub type_name: Option<String>,
    pub field_name: Option<String>,
    pub data_source_name: Option<String>,
    pub resolver_arn: 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>,
    pub max_batch_size: i32,
}

Describes a resolver.

Fields (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.

type_name: Option<String>

The resolver type name.

field_name: Option<String>

The resolver field name.

data_source_name: Option<String>

The resolver data source name.

resolver_arn: Option<String>

The resolver Amazon Resource Name (ARN).

request_mapping_template: Option<String>

The request mapping template.

response_mapping_template: Option<String>

The response mapping template.

kind: 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.

pipeline_config: Option<PipelineConfig>

The PipelineConfig.

sync_config: Option<SyncConfig>

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

caching_config: Option<CachingConfig>

The caching configuration for the resolver.

max_batch_size: i32

The maximum batching size for a resolver.

Implementations

impl Resolver

pub fn type_name(&self) -> Option<&str>

The resolver type name.

pub fn field_name(&self) -> Option<&str>

The resolver field name.

pub fn data_source_name(&self) -> Option<&str>

The resolver data source name.

pub fn resolver_arn(&self) -> Option<&str>

The resolver Amazon Resource Name (ARN).

pub fn request_mapping_template(&self) -> Option<&str>

The request mapping template.

pub fn response_mapping_template(&self) -> Option<&str>

The response mapping template.

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.

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

The PipelineConfig.

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

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

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

The caching configuration for the resolver.

pub fn max_batch_size(&self) -> i32

The maximum batching size for a resolver.

impl Resolver

pub fn builder() -> Builder

Creates a new builder-style object to manufacture Resolver

Trait Implementations

impl Clone for Resolver

fn clone(&self) -> Resolver

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Resolver

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

Formats the value using the given formatter.

impl PartialEq<Resolver> for Resolver

fn eq(&self, other: &Resolver) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Resolver) -> bool

This method tests for !=.

impl StructuralPartialEq for Resolver