DatriseAI-first ETL

PCRecruiter ClickHouse

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

How Datrise loads PCRecruiter into ClickHouse

Datrise syncs PCRecruiter's contacts, accounts, deals, activities, and lifecycle events 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

PCRecruiter: Recruiting CRM/ATS for candidates, pipelines, and placements.

ClickHouse: Columnar OLAP engine for fast aggregations.

How PCRecruiter entities map to ClickHouse

PCRecruiter entityClickHouse objectNotes
contactspcrecruiter_contactsid PK · custom fields → JSON or Map columns
accountspcrecruiter_accountsid PK · linked to pcrecruiter_contacts
dealspcrecruiter_dealsid PK · linked to pcrecruiter_contacts
activitiespcrecruiter_activitiesDateTime64 events

FAQ

How does Datrise handle PCRecruiter'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 PCRecruiter 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.

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Early access

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