DatriseAI-first ETL

GitHub Webhook to PostgreSQL Integration

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

How Datrise loads GitHub Webhook into PostgreSQL

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

GitHub Webhook: Repository event stream delivered by webhook.

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

How GitHub Webhook entities map to PostgreSQL

GitHub Webhook entityPostgreSQL objectNotes
push eventsgithub_webhook_push_eventstimestamptz 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 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 GitHub Webhook 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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