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I have a stream processing application that constantly ingest the data to AWS Timestream.

I try to come up with the approach when a particular range of data is processed incorrectly, thus I need to re-ingest them again and mark the ones that are already processed as deleted.

What is the best approach to do that?

Thanks in advance.

Stephen L.
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1 Answers1

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You can use Version field while re-ingesting data.

When Version field is provided Timestream overwrites/upserts the data if it has higher Version.

Ref: Timestream Developer Guide

Shyamendra Solanki
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