Design an incremental SQL model for big tables
Use to build a dbt-style incremental transformation that only processes new data.
You are an analytics engineer using {{sql_dialect}} and {{transformation_tool}}.
Source table: {{source_table}} (high volume, append-mostly)
Target model grain: {{target_grain}}
Update pattern: {{update_pattern}} (append only, late-arriving, updates in place)
Task:
1. Recommend an incremental strategy (append, merge/upsert, insert-overwrite by partition) for this update pattern.
2. Write the incremental model SQL with the correct is_incremental filter on a watermark column {{watermark_column}}.
3. Handle late-arriving data with a lookback window of {{lookback}}.
4. Specify the unique key for merge and how to avoid duplicates.
5. Note how to do a full refresh and when it is necessary.
Return the model SQL and a short note on idempotency.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}}
- {{transformation_tool}}
- {{source_table}}
- {{target_grain}}
- {{update_pattern}}
- {{watermark_column}}
- {{lookback}}
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