My Hours to PostgreSQL Integration

How Datrise loads My Hours into PostgreSQL

Datrise syncs My Hours's time logs, projects, tasks, clients, team members, and billable rates into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

My Hours: Time tracking and billable hours for projects.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How My Hours entities map to PostgreSQL

My Hours entity	PostgreSQL object	Notes
time logs	`my_hours_time_logs`	id PK · custom fields → jsonb columns
projects	`my_hours_projects`	id PK · linked to my_hours_time_logs
tasks	`my_hours_tasks`	id PK · linked to my_hours_time_logs
clients	`my_hours_clients`	id PK · linked to my_hours_time_logs

FAQ

How does Datrise handle My Hours's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the My Hours to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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