DatriseAI-first ETL

3PL Central to ClickHouse Integration

AI-first ETL from 3PL Central into ClickHouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads 3PL Central into ClickHouse

Datrise syncs 3PL Central's orders, receipts, inventory levels, items, customers, and warehouses 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

3PL Central: Third-party logistics warehouse and order operations.

ClickHouse: Columnar OLAP engine for fast aggregations.

How 3PL Central entities map to ClickHouse

3PL Central entityClickHouse objectNotes
orderstplcentral_ordersid PK · custom fields → JSON or Map columns
receiptstplcentral_receiptsid PK · linked to tplcentral_orders
inventory levelstplcentral_inventory_levelsid PK · linked to tplcentral_orders
itemstplcentral_itemsid PK · linked to tplcentral_orders

FAQ

How does Datrise handle 3PL Central'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 3PL Central 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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