Dixa → MySQL
AI-first ETL from Dixa into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Dixa into MySQL
Datrise syncs Dixa's conversations, agents, customers, tags, and resolution metrics 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
Dixa: Customer service platform for conversations across channels.
MySQL: Widely used OSS relational engine (InnoDB).
How Dixa entities map to MySQL
| Dixa entity | MySQL object | Notes |
|---|---|---|
| conversations | dixa_conversations | id PK · custom fields → JSON columns |
| agents | dixa_agents | id PK · linked to dixa_conversations |
| customers | dixa_customers | id PK · linked to dixa_conversations |
| tags | dixa_tags | id PK · linked to dixa_conversations |
FAQ
How does Datrise handle Dixa'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 Dixa 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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