DatriseAI-first ETL

Google Directory to MySQL Integration

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

How Datrise loads Google Directory into MySQL

Datrise syncs Google Directory's users, groups, group members, organizational units, devices, and roles 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

Google Directory: Workspace user, group, and device directory.

MySQL: Widely used OSS relational engine (InnoDB).

How Google Directory entities map to MySQL

Google Directory entityMySQL objectNotes
usersgoogle_directory_usersid PK · custom fields → JSON columns
groupsgoogle_directory_groupsid PK · linked to google_directory_users
group membersgoogle_directory_group_membersid PK · linked to google_directory_users
organizational unitsgoogle_directory_organizational_unitsid PK · linked to google_directory_users

FAQ

How does Datrise handle Google Directory'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 Google Directory 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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