Making a pipeline idempotent
A colleague's pipeline appends sales data on every run, so re-runs and backfills produce duplicates. Both the staging and sales tables have a date column (format YYYY-MM-DD).
Your team needs to make the pipeline idempotent: filter the staging query by the logical date, and add a preoperator to delete existing rows from the sales table.
Bu egzersiz, kursun bir parçasıdır
Building Data Pipelines with Airflow
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