DatriseAI-first ETL

GitHub Webhook to ClickHouse Integration

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

How Datrise loads GitHub Webhook into ClickHouse

Datrise syncs GitHub Webhook's push events, pull requests, issues, releases, commits, and workflow runs 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

GitHub Webhook: Repository event stream delivered by webhook.

ClickHouse: Columnar OLAP engine for fast aggregations.

How GitHub Webhook entities map to ClickHouse

GitHub Webhook entityClickHouse objectNotes
push eventsgithub_webhook_push_eventsDateTime64 events
pull requestsgithub_webhook_pull_requestsid PK · linked to github_webhook_push_events
issuesgithub_webhook_issuesid PK · linked to github_webhook_push_events
releasesgithub_webhook_releasesid PK · linked to github_webhook_push_events

FAQ

How does Datrise handle GitHub Webhook'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 GitHub Webhook 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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