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Can SQS have duplicate messages?

Can SQS have duplicate messages?

As the other answers mentioned, you can’t prevent duplicate messages coming through from SQS. Most of the time your messages will be handed to one of your consumers once, but you will run into duplicates at some stage.

How many times are messages delivered in SQS?

Standard queues support at-least-once message delivery. However, occasionally (because of the highly distributed architecture that allows nearly unlimited throughput), more than one copy of a message might be delivered out of order.

Can SQS trigger two lambdas?

Yes it is the “possible” way of first option. but it may cost “more” depending on your usage. When you consume the sqs in batch mode, then you have to invoke multiple lambdas by making multiple checks.

How long can a message be retained in an SQS queue?

You can configure the Amazon SQS message retention period to a value from 1 minute to 14 days. The default is 4 days. Once the message retention quota is reached, your messages are automatically deleted.

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Does Lambda automatically delete SQS message?

In this case, the message deletion and SQS DLQ management will be handled automatically by lambda and SQS. messages will be deleted from SQS immediately after the successful execution of a batch by lambda.

Can SQS call Lambda?

You can use a Lambda function to process messages in an Amazon Simple Queue Service (Amazon SQS) queue. Lambda reads messages in batches and invokes your function once for each batch. When your function successfully processes a batch, Lambda deletes its messages from the queue.

Is SQS queue ordered?

Q: Does Amazon SQS provide message ordering? Yes. FIFO (first-in-first-out) queues preserve the exact order in which messages are sent and received.

What are the disadvantages of deduplication?

Data Deduplication disadvantages 2) Loss of data integrity – Block-level deduplication solutions utilizing hashes create the possibility of hash collisions (identical hashes for different data blocks). This can cause loss of data integrity due to false positives, in the absence of additional in-built verification.