####################################################################################### # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: MIT-0 # # Permission is hereby granted, free of charge, to any person obtaining a copy of this # software and associated documentation files (the "Software"), to deal in the Software # without restriction, including without limitation the rights to use, copy, modify, # merge, publish, distribute, sublicense, and/or sell copies of the Software, and to # permit persons to whom the Software is furnished to do so. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, # INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A # PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT # HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION # OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE # SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ####################################################################################### # The queue to hold the smaller workloads that get created resource "aws_sqs_queue" "lambda_invocation_queue" { name = "${var.prefix}_queue" #delay_seconds = 90 #message_retention_seconds = 1209600 #receive_wait_time_seconds = 0 kms_master_key_id = "alias/aws/sqs" kms_data_key_reuse_period_seconds = 300 redrive_policy = jsonencode({ deadLetterTargetArn = aws_sqs_queue.lambda_invocation_queue_deadletter.arn maxReceiveCount = 4 }) } # Dead Letter queue. Every SQS queue should have a dead letter queue. resource "aws_sqs_queue" "lambda_invocation_queue_deadletter" { name = "${var.prefix}_queue_deadletter" kms_master_key_id = "alias/aws/sqs" kms_data_key_reuse_period_seconds = 300 } # Connect the Queue to the Lambda (auto flow of queue msgs to the lambda) resource "aws_lambda_event_source_mapping" "sqs" { event_source_arn = aws_sqs_queue.lambda_invocation_queue.arn function_name = aws_lambda_function.load_splitter.arn batch_size = 1 }