GitHub Webhook to MySQL Integration

How Datrise loads GitHub Webhook into MySQL

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

GitHub Webhook: Repository event stream delivered by webhook.

MySQL: Widely used OSS relational engine (InnoDB).

How GitHub Webhook entities map to MySQL

GitHub Webhook entity	MySQL object	Notes
push events	`github_webhook_push_events`	DATETIME/TIMESTAMP events
pull requests	`github_webhook_pull_requests`	id PK · linked to github_webhook_push_events
issues	`github_webhook_issues`	id PK · linked to github_webhook_push_events
releases	`github_webhook_releases`	id PK · linked to github_webhook_push_events

FAQ

How does Datrise handle GitHub Webhook'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 GitHub Webhook 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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