DatriseAI-first ETL

Jenkins to ClickHouse Integration

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

How Datrise loads Jenkins into ClickHouse

Datrise syncs Jenkins's jobs, builds, stages, test results, artifacts, and build logs into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Jenkins: Self-hosted build automation and CI jobs.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Jenkins entities map to ClickHouse

Jenkins entityClickHouse objectNotes
jobsjenkins_jobsid PK · custom fields → JSON or Map 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 ClickHouse?

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

How does the Jenkins to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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