DATA OPS

On-Demand Pre-Migration Schema Contract Check

Lets an engineer manually run a one-off comparison of a proposed Snowflake schema against the live table before a migration, returning a go/no-go contract verdict and, on conflict.

CategoryData Ops
Enginesim
Difficultybeginner
Triggermanual
Steps4
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEngineer manually triggers with proposed schema
  • ActionFetch live table schema from SnowflakeSnowflakeSnowflake
  • LogicDiff and evaluate against data contract for verdict
  • OutputOpen Linear issue with blocking columns on no-goLinearLinear

What it does

It gives engineers a self-serve safety check before they run a risky migration. The operator supplies the proposed DDL or target schema; the workflow fetches the current live schema from Snowflake, diffs the two, and evaluates whether the change would break the table's published data contract. It returns a clear go/no-go verdict inline and, when the verdict is no-go, files a Linear issue enumerating exactly which columns block the migration and why.

When to use it

Use it right before executing a manual schema migration or backfill, when you want a deterministic contract check on demand rather than waiting for the scheduled sentinel. It's the dry-run an engineer triggers themselves to avoid shipping a breaking `ALTER`.

How it works

  1. 1An engineer triggers the run manually with the proposed schema as input.
  2. 2Fetch the live table schema from Snowflake.
  3. 3Diff proposed against live and evaluate against the data contract.
  4. 4Branch on the verdict.
  5. 5On a clean verdict, return go inline; on conflict, open a Linear issue listing the blocking columns.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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