Impact to MySQL Integration
AI-first ETL from Impact into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Impact into MySQL
Datrise syncs Impact's partners, actions, clicks, conversions, payouts, and campaigns into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Impact: Partnership and affiliate performance tracking.
MySQL: Widely used OSS relational engine (InnoDB).
How Impact entities map to MySQL
| Impact entity | MySQL object | Notes |
|---|---|---|
| partners | impact_partners | id PK · custom fields → JSON columns |
| actions | impact_actions | id PK · linked to impact_partners |
| clicks | impact_clicks | id PK · linked to impact_partners |
| conversions | impact_conversions | id PK · linked to impact_partners |
FAQ
How does Datrise handle Impact's custom fields in MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the Impact to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
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