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How to Use MySQL Binlog for Warehouse CDC ​

May 2026

MySQL binlog CDC works best when source logging and warehouse expectations are designed together instead of as two separate projects.

Short Answer ​

Using MySQL binlog for warehouse CDC starts with a source configured for the job: row-based logging, a user with the right replication access, and a clear plan for what keys define row identity downstream.

The warehouse side matters immediately, because a good source feed is only useful if the destination can reconcile it into trusted final-state tables.

Why Teams Struggle with This ​

Teams often split this into two mental models: source replication on one side and warehouse design on the other. That is why they discover key and delete problems late.

  • Binlog configuration is correct, but downstream row identity is fuzzy.
  • Source users can connect, but do not have the right privileges for sustained CDC.
  • Row-based logging assumptions are left implicit.
  • The first dbt project is bootstrapped before the CDC contract is stable.

How Skippr Handles It ​

Skippr keeps the source mechanics and the warehouse path close together. That means MySQL setup, destination behavior, and generated dbt bootstrap can be reviewed as one design instead of a chain of handoffs.

That is especially useful for small teams who need the pipeline to be teachable as well as correct.

  • MySQL CDC setup stays in the same project as destination configuration.
  • Business-key choices are discussed before the first warehouse merge matters.
  • Bronze landing and generated dbt bootstrap share the same execution path.
  • The team can review one integration instead of three disconnected systems.

What the First Useful Version Looks Like ​

A good MySQL CDC setup is not just "the binlog is on."

It is "the source settings and warehouse contract agree on what one row means."