DATA OPS

Weekly Postgres source-schema drift digest to Notion

Tracks the schema of your operational Postgres source tables and, once a week, publishes a Notion page summarizing every additive and breaking change since the last digest.

CategoryData Ops
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly digest schedule fires
  • ActionRead source-table schemas from PostgresPostgreSQLPostgres
  • LogicDiff vs baseline; group and label changes
  • OutputPublish dated changelog page in NotionNotionNotion
  • ActionStore new weekly baselinePostgreSQLPostgres

What it does

This workflow maintains a weekly changelog of how your operational Postgres database has evolved. It snapshots source-table schemas, accumulates the changes detected across the week, and on a weekly cadence writes them into a Notion page grouped by table — separating safe additive changes from breaking ones. Instead of pinging people mid-week for non-urgent shifts, it batches everything into one reviewable digest.

When to use it

Use it when application engineers ship schema changes to the source database faster than the analytics team can keep up, and you want a calm weekly review rather than real-time alerts. It pairs well with a standing weekly data-sync meeting.

How it works

  1. 1A weekly schedule triggers the digest.
  2. 2It reads current source-table schemas from Postgres `information_schema`.
  3. 3It loads the prior week's baseline and computes the full set of changes.
  4. 4A logic step groups changes per table and labels additive vs breaking.
  5. 5It publishes or appends a dated changelog page in Notion.
  6. 6It stores the new baseline for next week's comparison.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect NotionPages, databases, comments.
  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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