Struct aws_sdk_appsync::types::DataSource

#[non_exhaustive]
pub struct DataSource {

    pub data_source_arn: Option<String>,
    pub name: Option<String>,
    pub description: Option<String>,
    pub type: Option<DataSourceType>,
    pub service_role_arn: Option<String>,
    pub dynamodb_config: Option<DynamodbDataSourceConfig>,
    pub lambda_config: Option<LambdaDataSourceConfig>,
    pub elasticsearch_config: Option<ElasticsearchDataSourceConfig>,
    pub open_search_service_config: Option<OpenSearchServiceDataSourceConfig>,
    pub http_config: Option<HttpDataSourceConfig>,
    pub relational_database_config: Option<RelationalDatabaseDataSourceConfig>,
    pub event_bridge_config: Option<EventBridgeDataSourceConfig>,
    pub metrics_config: Option<DataSourceLevelMetricsConfig>,
}

Describes a data source.

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.

data_source_arn: Option<String>

The data source Amazon Resource Name (ARN).

name: Option<String>

The name of the data source.

description: Option<String>

The description of the data source.

type: Option<DataSourceType>

The type of the data source.

• AWS_LAMBDA: The data source is an Lambda function.

• AMAZON_DYNAMODB: The data source is an Amazon DynamoDB table.

• AMAZON_ELASTICSEARCH: The data source is an Amazon OpenSearch Service domain.

• AMAZON_OPENSEARCH_SERVICE: The data source is an Amazon OpenSearch Service domain.

• AMAZON_EVENTBRIDGE: The data source is an Amazon EventBridge configuration.

• NONE: There is no data source. Use this type when you want to invoke a GraphQL operation without connecting to a data source, such as when you're performing data transformation with resolvers or invoking a subscription from a mutation.

• HTTP: The data source is an HTTP endpoint.

• RELATIONAL_DATABASE: The data source is a relational database.

service_role_arn: Option<String>

The Identity and Access Management (IAM) service role Amazon Resource Name (ARN) for the data source. The system assumes this role when accessing the data source.

dynamodb_config: Option<DynamodbDataSourceConfig>

DynamoDB settings.

lambda_config: Option<LambdaDataSourceConfig>

Lambda settings.

elasticsearch_config: Option<ElasticsearchDataSourceConfig>

Amazon OpenSearch Service settings.

open_search_service_config: Option<OpenSearchServiceDataSourceConfig>

Amazon OpenSearch Service settings.

http_config: Option<HttpDataSourceConfig>

HTTP endpoint settings.

relational_database_config: Option<RelationalDatabaseDataSourceConfig>

Relational database settings.

event_bridge_config: Option<EventBridgeDataSourceConfig>

Amazon EventBridge settings.

metrics_config: Option<DataSourceLevelMetricsConfig>

Enables or disables enhanced data source metrics for specified data sources. Note that metricsConfig won't be used unless the dataSourceLevelMetricsBehavior value is set to PER_DATA_SOURCE_METRICS. If the dataSourceLevelMetricsBehavior is set to FULL_REQUEST_DATA_SOURCE_METRICS instead, metricsConfig will be ignored. However, you can still set its value.

metricsConfig can be ENABLED or DISABLED.

Implementations

impl DataSource

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

The data source Amazon Resource Name (ARN).

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

The name of the data source.

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

The description of the data source.

pub fn type(&self) -> Option<&DataSourceType>

The type of the data source.

• AWS_LAMBDA: The data source is an Lambda function.

• AMAZON_DYNAMODB: The data source is an Amazon DynamoDB table.

• AMAZON_ELASTICSEARCH: The data source is an Amazon OpenSearch Service domain.

• AMAZON_OPENSEARCH_SERVICE: The data source is an Amazon OpenSearch Service domain.

• AMAZON_EVENTBRIDGE: The data source is an Amazon EventBridge configuration.

• NONE: There is no data source. Use this type when you want to invoke a GraphQL operation without connecting to a data source, such as when you're performing data transformation with resolvers or invoking a subscription from a mutation.

• HTTP: The data source is an HTTP endpoint.

• RELATIONAL_DATABASE: The data source is a relational database.

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

The Identity and Access Management (IAM) service role Amazon Resource Name (ARN) for the data source. The system assumes this role when accessing the data source.

pub fn dynamodb_config(&self) -> Option<&DynamodbDataSourceConfig>

DynamoDB settings.

pub fn lambda_config(&self) -> Option<&LambdaDataSourceConfig>

Lambda settings.

pub fn elasticsearch_config(&self) -> Option<&ElasticsearchDataSourceConfig>

Amazon OpenSearch Service settings.

pub fn open_search_service_config( &self, ) -> Option<&OpenSearchServiceDataSourceConfig>

Amazon OpenSearch Service settings.

pub fn http_config(&self) -> Option<&HttpDataSourceConfig>

HTTP endpoint settings.

pub fn relational_database_config( &self, ) -> Option<&RelationalDatabaseDataSourceConfig>

Relational database settings.

pub fn event_bridge_config(&self) -> Option<&EventBridgeDataSourceConfig>

Amazon EventBridge settings.

pub fn metrics_config(&self) -> Option<&DataSourceLevelMetricsConfig>

Enables or disables enhanced data source metrics for specified data sources. Note that metricsConfig won't be used unless the dataSourceLevelMetricsBehavior value is set to PER_DATA_SOURCE_METRICS. If the dataSourceLevelMetricsBehavior is set to FULL_REQUEST_DATA_SOURCE_METRICS instead, metricsConfig will be ignored. However, you can still set its value.

metricsConfig can be ENABLED or DISABLED.

impl DataSource

pub fn builder() -> DataSourceBuilder

Creates a new builder-style object to manufacture DataSource.

Trait Implementations

impl Clone for DataSource

fn clone(&self) -> DataSource

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DataSource

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

Formats the value using the given formatter.

impl PartialEq for DataSource

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for DataSource