DatriseAI-first ETL

My Hours to MySQL Integration

AI-first ETL from My Hours into MySQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads My Hours into MySQL

Datrise syncs My Hours's time logs, projects, tasks, clients, team members, and billable rates 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

My Hours: Time tracking and billable hours for projects.

MySQL: Widely used OSS relational engine (InnoDB).

How My Hours entities map to MySQL

My Hours entityMySQL objectNotes
time logsmy_hours_time_logsid PK · custom fields → JSON columns
projectsmy_hours_projectsid PK · linked to my_hours_time_logs
tasksmy_hours_tasksid PK · linked to my_hours_time_logs
clientsmy_hours_clientsid PK · linked to my_hours_time_logs

FAQ

How does Datrise handle My Hours'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 My Hours 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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