Reconcile two datasets that should match
Use to find where two sources disagree on totals or row-level values.
You are a data analyst doing reconciliation in {{sql_dialect}}.
Source A: {{source_a}}
Source B: {{source_b}}
Join key: {{join_key}}
They should agree on: {{agreement_fields}}
Task: write queries that surface discrepancies:
1. Rows in A missing from B and vice versa.
2. Rows present in both but with mismatched values on the agreement fields, showing both values side by side and the delta.
3. A summary of total counts and total {{measure}} per source so I can see aggregate-level gaps.
Constraints:
- Use FULL OUTER JOIN for the row-level comparison.
- Make the mismatch query easy to filter by field.
After the SQL, give a 4-step checklist for tracking down the most common causes of these gaps.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{sql_dialect}}
- {{source_a}}
- {{source_b}}
- {{join_key}}
- {{agreement_fields}}
- {{measure}}
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