airflow-starrocks-backfill

You can safely backfill StarRocks partitions using Airflow by applying deterministic Broker Load labels and atomic INSERT OVERWRITE semantics, ensuring reruns are idempotent and prevent data loss. This avoids duplicates and race conditions during historical data reprocessing.

To prevent duplicate loads during StarRocks backfill reruns, use deterministic Broker Load labels defined per table and date. This idempotent labeling allows the system to safely skip already-finished loads if a DAG run is retried.

Atomic partition replacement for StarRocks uses INSERT OVERWRITE semantics to recompute partitions safely. This approach requires pre-creating the target partitions and ensures the entire partition is replaced atomically without partial updates.

You should not run concurrent StarRocks backfill DAG runs. The Skill enforces concurrency guardrails like setting max_active_runs to 1 and polling load completion status to avoid race conditions and prevent overwhelming StarRocks backend resources.

Append-based reloads are an anti-pattern for StarRocks partition reprocessing because they create duplicate rows. Instead, you should use INSERT OVERWRITE or Broker Load with deterministic labels to ensure atomic replacement and idempotent backfills.

You can track StarRocks backfill progress by querying a dedicated backfill tracking table. This table monitors load durations, row counts, and FINISHED or CANCELLED statuses to provide observability during historical date-range catchup operations.