DatriseAI-first ETL

Google Directory to ClickHouse Integration

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

How Datrise loads Google Directory into ClickHouse

Datrise syncs Google Directory's users, groups, group members, organizational units, devices, and roles into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

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

ClickHouse: Columnar OLAP engine for fast aggregations.

How Google Directory entities map to ClickHouse

Google Directory entityClickHouse objectNotes
usersgoogle_directory_usersid PK · custom fields → JSON or Map 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 ClickHouse?

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

How does the Google Directory to ClickHouse sync stay up to date?

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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