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I run my filter recipe periodically. I would like to use append instead of overwrite to store only new tweets (not what is already stored with the recipe output). Is it possible?


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this looks like a use case for partitioning. Note this is an advanced concept of DSS.

Imagine one uses "append", discovers a bug, fixes it, runs the flow again: the output dataset would then contain both the buggy and the correct data.

Do you have an example of how can do that?
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