DatriseAI-first ETL

Jenkins to MySQL Integration

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

How Datrise loads Jenkins into MySQL

Datrise syncs Jenkins's jobs, builds, stages, test results, artifacts, and build logs 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

Jenkins: Self-hosted build automation and CI jobs.

MySQL: Widely used OSS relational engine (InnoDB).

How Jenkins entities map to MySQL

Jenkins entityMySQL objectNotes
jobsjenkins_jobsid PK · custom fields → JSON columns
buildsjenkins_buildsid PK · linked to jenkins_jobs
stagesjenkins_stagesid PK · linked to jenkins_jobs
test resultsjenkins_test_resultsid PK · linked to jenkins_jobs

FAQ

How does Datrise handle Jenkins'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 Jenkins 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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