Struct aws_sdk_lambda::output::CreateEventSourceMappingOutput[][src]

#[non_exhaustive]
pub struct CreateEventSourceMappingOutput {
Show 22 fields pub uuid: Option<String>, pub starting_position: Option<EventSourcePosition>, pub starting_position_timestamp: Option<DateTime>, pub batch_size: Option<i32>, pub maximum_batching_window_in_seconds: Option<i32>, pub parallelization_factor: Option<i32>, pub event_source_arn: Option<String>, pub function_arn: Option<String>, pub last_modified: Option<DateTime>, pub last_processing_result: Option<String>, pub state: Option<String>, pub state_transition_reason: Option<String>, pub destination_config: Option<DestinationConfig>, pub topics: Option<Vec<String>>, pub queues: Option<Vec<String>>, pub source_access_configurations: Option<Vec<SourceAccessConfiguration>>, pub self_managed_event_source: Option<SelfManagedEventSource>, pub maximum_record_age_in_seconds: Option<i32>, pub bisect_batch_on_function_error: Option<bool>, pub maximum_retry_attempts: Option<i32>, pub tumbling_window_in_seconds: Option<i32>, pub function_response_types: Option<Vec<FunctionResponseType>>,
}
Expand description

A mapping between an Amazon Web Services resource and a Lambda function. For details, see CreateEventSourceMapping.

Fields (Non-exhaustive)

This struct is marked as 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.
uuid: Option<String>

The identifier of the event source mapping.

starting_position: Option<EventSourcePosition>

The position in a stream from which to start reading. Required for Amazon Kinesis, Amazon DynamoDB, and Amazon MSK stream sources. AT_TIMESTAMP is supported only for Amazon Kinesis streams.

starting_position_timestamp: Option<DateTime>

With StartingPosition set to AT_TIMESTAMP, the time from which to start reading.

batch_size: Option<i32>

The maximum number of records in each batch that Lambda pulls from your stream or queue and sends to your function. Lambda passes all of the records in the batch to the function in a single call, up to the payload limit for synchronous invocation (6 MB).

Default value: Varies by service. For Amazon SQS, the default is 10. For all other services, the default is 100.

Related setting: When you set BatchSize to a value greater than 10, you must set MaximumBatchingWindowInSeconds to at least 1.

maximum_batching_window_in_seconds: Option<i32>

(Streams and Amazon SQS standard queues) The maximum amount of time, in seconds, that Lambda spends gathering records before invoking the function.

Default: 0

Related setting: When you set BatchSize to a value greater than 10, you must set MaximumBatchingWindowInSeconds to at least 1.

parallelization_factor: Option<i32>

(Streams only) The number of batches to process concurrently from each shard. The default value is 1.

event_source_arn: Option<String>

The Amazon Resource Name (ARN) of the event source.

function_arn: Option<String>

The ARN of the Lambda function.

last_modified: Option<DateTime>

The date that the event source mapping was last updated or that its state changed.

last_processing_result: Option<String>

The result of the last Lambda invocation of your function.

state: Option<String>

The state of the event source mapping. It can be one of the following: Creating, Enabling, Enabled, Disabling, Disabled, Updating, or Deleting.

state_transition_reason: Option<String>

Indicates whether a user or Lambda made the last change to the event source mapping.

destination_config: Option<DestinationConfig>

(Streams only) An Amazon SQS queue or Amazon SNS topic destination for discarded records.

topics: Option<Vec<String>>

The name of the Kafka topic.

queues: Option<Vec<String>>

(Amazon MQ) The name of the Amazon MQ broker destination queue to consume.

source_access_configurations: Option<Vec<SourceAccessConfiguration>>

An array of the authentication protocol, VPC components, or virtual host to secure and define your event source.

self_managed_event_source: Option<SelfManagedEventSource>

The self-managed Apache Kafka cluster for your event source.

maximum_record_age_in_seconds: Option<i32>

(Streams only) Discard records older than the specified age. The default value is -1, which sets the maximum age to infinite. When the value is set to infinite, Lambda never discards old records.

bisect_batch_on_function_error: Option<bool>

(Streams only) If the function returns an error, split the batch in two and retry. The default value is false.

maximum_retry_attempts: Option<i32>

(Streams only) Discard records after the specified number of retries. The default value is -1, which sets the maximum number of retries to infinite. When MaximumRetryAttempts is infinite, Lambda retries failed records until the record expires in the event source.

tumbling_window_in_seconds: Option<i32>

(Streams only) The duration in seconds of a processing window. The range is 1–900 seconds.

function_response_types: Option<Vec<FunctionResponseType>>

(Streams only) A list of current response type enums applied to the event source mapping.

Implementations

The identifier of the event source mapping.

The position in a stream from which to start reading. Required for Amazon Kinesis, Amazon DynamoDB, and Amazon MSK stream sources. AT_TIMESTAMP is supported only for Amazon Kinesis streams.

With StartingPosition set to AT_TIMESTAMP, the time from which to start reading.

The maximum number of records in each batch that Lambda pulls from your stream or queue and sends to your function. Lambda passes all of the records in the batch to the function in a single call, up to the payload limit for synchronous invocation (6 MB).

Default value: Varies by service. For Amazon SQS, the default is 10. For all other services, the default is 100.

Related setting: When you set BatchSize to a value greater than 10, you must set MaximumBatchingWindowInSeconds to at least 1.

(Streams and Amazon SQS standard queues) The maximum amount of time, in seconds, that Lambda spends gathering records before invoking the function.

Default: 0

Related setting: When you set BatchSize to a value greater than 10, you must set MaximumBatchingWindowInSeconds to at least 1.

(Streams only) The number of batches to process concurrently from each shard. The default value is 1.

The Amazon Resource Name (ARN) of the event source.

The ARN of the Lambda function.

The date that the event source mapping was last updated or that its state changed.

The result of the last Lambda invocation of your function.

The state of the event source mapping. It can be one of the following: Creating, Enabling, Enabled, Disabling, Disabled, Updating, or Deleting.

Indicates whether a user or Lambda made the last change to the event source mapping.

(Streams only) An Amazon SQS queue or Amazon SNS topic destination for discarded records.

The name of the Kafka topic.

(Amazon MQ) The name of the Amazon MQ broker destination queue to consume.

An array of the authentication protocol, VPC components, or virtual host to secure and define your event source.

The self-managed Apache Kafka cluster for your event source.

(Streams only) Discard records older than the specified age. The default value is -1, which sets the maximum age to infinite. When the value is set to infinite, Lambda never discards old records.

(Streams only) If the function returns an error, split the batch in two and retry. The default value is false.

(Streams only) Discard records after the specified number of retries. The default value is -1, which sets the maximum number of retries to infinite. When MaximumRetryAttempts is infinite, Lambda retries failed records until the record expires in the event source.

(Streams only) The duration in seconds of a processing window. The range is 1–900 seconds.

(Streams only) A list of current response type enums applied to the event source mapping.

Creates a new builder-style object to manufacture CreateEventSourceMappingOutput

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