LookML to MySQL Integration
AI-first ETL from LookML into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads LookML into MySQL
Datrise syncs LookML's models, explores, views, dimensions, measures, and joins 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
LookML: Semantic model definitions behind Looker content.
MySQL: Widely used OSS relational engine (InnoDB).
How LookML entities map to MySQL
| LookML entity | MySQL object | Notes |
|---|---|---|
| models | lookml_models | id PK · custom fields → JSON columns |
| explores | lookml_explores | id PK · linked to lookml_models |
| views | lookml_views | id PK · linked to lookml_models |
| dimensions | lookml_dimensions | id PK · linked to lookml_models |
FAQ
How does Datrise handle LookML'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 LookML to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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