DatriseAI-first ETL

JobAdder to MySQL Integration

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

How Datrise loads JobAdder into MySQL

Datrise syncs JobAdder's candidates, jobs, applications, placements, companies, and interview notes 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

JobAdder: Recruitment platform for job ads, applications, and placements.

MySQL: Widely used OSS relational engine (InnoDB).

How JobAdder entities map to MySQL

JobAdder entityMySQL objectNotes
candidatesjobadder_candidatesid PK · custom fields → JSON columns
jobsjobadder_jobsid PK · linked to jobadder_candidates
applicationsjobadder_applicationsid PK · linked to jobadder_candidates
placementsjobadder_placementsid PK · linked to jobadder_candidates

FAQ

How does Datrise handle JobAdder'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 JobAdder 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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