DatriseAI-first ETL

Docker Hub to MySQL Integration

AI-first ETL from Docker Hub into MySQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads Docker Hub into MySQL

Datrise syncs Docker Hub's repositories, images, tags, pull counts, image manifests, and organizations into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Docker Hub: Container image registry and distribution.

MySQL: Widely used OSS relational engine (InnoDB).

How Docker Hub entities map to MySQL

Docker Hub entityMySQL objectNotes
repositoriesdockerhub_repositoriesid PK · custom fields → JSON columns
imagesdockerhub_imagesid PK · linked to dockerhub_repositories
tagsdockerhub_tagsid PK · linked to dockerhub_repositories
pull countsdockerhub_pull_countsid PK · linked to dockerhub_repositories

FAQ

How does Datrise handle Docker Hub's custom fields in MySQL?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.

How does the Docker Hub to MySQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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