DatriseAI-first ETL

JobAdder to ClickHouse Integration

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

How Datrise loads JobAdder into ClickHouse

Datrise syncs JobAdder's candidates, jobs, applications, placements, companies, and interview notes 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

JobAdder: Recruitment platform for job ads, applications, and placements.

ClickHouse: Columnar OLAP engine for fast aggregations.

How JobAdder entities map to ClickHouse

JobAdder entityClickHouse objectNotes
candidatesjobadder_candidatesid PK · custom fields → JSON or Map columns
jobsjobadder_jobsid PK · linked to jobadder_candidates
applicationsjobadder_applicationsid PK · linked to jobadder_candidates
placementsjobadder_placementsid PK · linked to jobadder_candidates

FAQ

How does Datrise handle JobAdder'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 JobAdder 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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