Pexels API → ClickHouse
AI-first ETL from Pexels API into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pexels API into ClickHouse
Datrise syncs Pexels API's records, events, and configuration objects 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
Pexels API: SaaS or API data source for analytics and warehouse sync.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Pexels API entities map to ClickHouse
| Pexels API entity | ClickHouse object | Notes |
|---|---|---|
| records | pexels_api_records | id PK · custom fields → JSON or Map columns |
| events | pexels_api_events | DateTime64 events |
| configuration objects | pexels_api_configuration_objects | id PK · linked to pexels_api_records |
FAQ
How does Datrise handle Pexels 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 Pexels 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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More sources for ClickHouse
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