Adjust to MySQL Integration
AI-first ETL from Adjust into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Adjust into MySQL
Datrise syncs Adjust's installs, sessions, in-app events, campaigns, cohorts, and attribution touchpoints 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
Adjust: Mobile measurement and attribution platform.
MySQL: Widely used OSS relational engine (InnoDB).
How Adjust entities map to MySQL
| Adjust entity | MySQL object | Notes |
|---|---|---|
| installs | adjust_installs | id PK · custom fields → JSON columns |
| sessions | adjust_sessions | id PK · linked to adjust_installs |
| in-app events | adjust_in_app_events | DATETIME/TIMESTAMP events |
| campaigns | adjust_campaigns | id PK · linked to adjust_installs |
FAQ
How does Datrise handle Adjust'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 Adjust 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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