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Using variables in loops in Data Factory – why it’s not worth it

Using variables in loops in Data Factory – why it’s not worth it

In this post, the author discourages the use of variables in loops in Data Factory.

Loops are a fundamental feature in programming and are no different in Data Factory (ADF), where they are used for storing values retrieved or calculated from specific locations in the data flow. However, according to the author, using variables in loops in ADF involves a convoluted process that can make the code difficult to debug and maintain.

The post addresses the complexities of Data Factory schema, including its nested calling structure, and suggests alternatives to using variables in loops. The author's primary argument is that although using variables in loops can solve certain issues, the added complexity is not worth the payoff. Instead, they recommend simplifying the code with alternative approaches that are easier to understand and less error-prone.

The overarching message of the post is that while loops are necessary, using variables in loops in ADF should be avoided due to the additional complexity it brings to the code.

The post "Using variables in loops in Data Factory – why it's not worth it" can be found at SeeQuality.net.

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