Public API to ClickHouse Integration
AI-first ETL from Public API into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Public API into ClickHouse
Datrise syncs Public API's records, response payloads, pagination cursors, request parameters, schemas, and fetch timestamps 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
Public API: Generic REST endpoint pulled on a schedule.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Public API entities map to ClickHouse
| Public API entity | ClickHouse object | Notes |
|---|---|---|
| records | public_api_records | id PK · custom fields → JSON or Map columns |
| response payloads | public_api_response_payloads | id PK · linked to public_api_records |
| pagination cursors | public_api_pagination_cursors | id PK · linked to public_api_records |
| request parameters | public_api_request_parameters | id PK · linked to public_api_records |
FAQ
How does Datrise handle Public API'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 Public API 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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