DatriseAI-first ETL

Pepperjam to ClickHouse Integration

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

How Datrise loads Pepperjam into ClickHouse

Datrise syncs Pepperjam's publishers, transactions, clicks, commissions, creatives, and programs 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

Pepperjam: Affiliate network performance and publisher payouts.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Pepperjam entities map to ClickHouse

Pepperjam entityClickHouse objectNotes
publisherspepperjam_publishersid PK · custom fields → JSON or Map columns
transactionspepperjam_transactionsid PK · linked to pepperjam_publishers
clickspepperjam_clicksid PK · linked to pepperjam_publishers
commissionspepperjam_commissionsid PK · linked to pepperjam_publishers

FAQ

How does Datrise handle Pepperjam'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 Pepperjam 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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