DE//AGENT
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Safe Backfill

Backfills corrupt production or take down the daily run.

Reference architecture canvas Sources feed processing stages; a data contract sits between processing and destinations; a failure path routes invalid output to a dead-letter zone. OLTP DBs cdc Event log stream Processing transform · model idempotent writes versioned code Data contract schema · grain · SLA validated at boundary Warehouse analytics Feature/API agents · apps Dead letter quarantined output

At a glance

What Backfills corrupt production or take down the daily run.
When Any historical recompute of a production table
Where Airflow / Orchestration

Problem

Backfills corrupt production or take down the daily run.

Solution

Treat a backfill as a controlled migration. 1. shadow target (or snapshot) 2. batched date ranges, smallest first 3. validate a sample after each batch 4. swap atomically 5. keep the old data until validated Never overlap the production window; never backfill without a rollback path.

When not to use

  • A tiny table you can recompute in one safe step

Security scan

Last sweep 2026-10-24: 0 finding(s), 0 marked as examples.

Context

A pipeline whose historical output must be recomputed.

Forces

  • Correctness must be verifiable
  • Production must stay available
  • Rollback must be possible

Tradeoffs

Choose this when Costs & caveats
reversible, observable, low-blast-radius extra storage and orchestration for the shadow

Diagram

[range] ─▶ shadow ─▶ validate ─▶ swap ─▶ keep old until verified

Registry stats

Verification community · Sep 24, 2026
Completeness 75
Trust multiplier ×1.25
Composite 34.75 · adequate
Freshness 30 days since last source check
Difficulty advanced
Version 1.1.0
License CC-BY-4.0
Security flags none