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Episode 02 / SQL

Join Duplication Debugging Workflow

When a join pushes the numbers up, I check row counts and aggregation first. Then I work through key uniqueness, table grain, join type, and null behavior before changing the query.

Data Sketch Episode 2: Join Duplication Debugging Workflow

Reading the sketch

  1. Confirm the symptom

    Compare row counts and metrics before and after the join.

  2. Check aggregation and keys

    Review the aggregation logic and test whether the join keys are unique.

  3. Compare table grain

    Check whether both sides of the join describe data at the same grain.

  4. Inspect join behavior

    Review the join type and look for unexpected nulls or dropped rows.

  5. Trace the cause

    Use the evidence from each check to identify the root cause before changing the query.

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