Oversized M scripts
"Oversized M scripts" is one of the maintainability checks Auditabi runs on a Power BI semantic model. Some M scripts run to hundreds of lines with dozens of steps. It is a medium-severity finding: the model still works, but results are wrong in some filter contexts, slow, or fragile under change. Push transformations upstream (views, dataflows), split the query into staged queries, and keep a query focused on one shaping job.
What is detected
Some M scripts run to hundreds of lines with dozens of steps. They refresh slowly, rarely fold to the source, and nobody wants to touch them.
Why it matters
Wrong in some filter contexts, slow, or fragile under change. Fix in the next iteration.
How to fix it
Push transformations upstream (views, dataflows), split the query into staged queries, and keep a query focused on one shaping job.
Does your model fail this check?
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