Jenkins to ThoughtSpot Integration
AI-first ETL from Jenkins into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Jenkins into ThoughtSpot
Datrise syncs Jenkins's jobs, builds, stages, test results, artifacts, and build logs into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Jenkins: Self-hosted build automation and CI jobs.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Jenkins entities map to ThoughtSpot
| Jenkins entity | ThoughtSpot object | Notes |
|---|---|---|
| jobs | jenkins_jobs | id PK · custom fields → flattened columns for searchable fields |
| builds | jenkins_builds | id PK · linked to jenkins_jobs |
| stages | jenkins_stages | id PK · linked to jenkins_jobs |
| test results | jenkins_test_results | id PK · linked to jenkins_jobs |
FAQ
How does Datrise handle Jenkins's custom fields in ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Jenkins to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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