Apache Spark to PlanetScale Integration
AI-first ETL from Apache Spark into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into PlanetScale
Datrise syncs Apache Spark's jobs, stages, tasks, executors, SQL queries, and application metrics into PlanetScale 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.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
Apache Spark: Distributed engine for large-scale data processing.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How Apache Spark entities map to PlanetScale
| Apache Spark entity | PlanetScale object | Notes |
|---|---|---|
| jobs | apache_spark_jobs | id PK · custom fields → JSON columns |
| stages | apache_spark_stages | id PK · linked to apache_spark_jobs |
| tasks | apache_spark_tasks | id PK · linked to apache_spark_jobs |
| executors | apache_spark_executors | id PK · linked to apache_spark_jobs |
FAQ
How does Datrise handle Apache Spark's custom fields in PlanetScale?
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 PlanetScale types.
How does the Apache Spark to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
More destinations for Apache Spark
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- Apache Spark → Amazon QuickSight
- Apache Spark → Domo
- Apache Spark → Sisense
- Apache Spark → ThoughtSpot
- Apache Spark → Qlik
More sources for PlanetScale
- Apify → PlanetScale
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- Ashby → PlanetScale
- Autopilot → PlanetScale
- AWS CloudTrail → PlanetScale
- Azure Table Storage → PlanetScale
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- BigCommerce → PlanetScale
- Google BigQuery → PlanetScale
- Branch → PlanetScale
Early access
Connect Apache Spark to PlanetScale the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.