Apache Spark to Looker Studio Integration
AI-first ETL from Apache Spark into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into Looker Studio
Datrise syncs Apache Spark's jobs, stages, tasks, executors, SQL queries, and application metrics into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.
Ideal for free, shareable dashboards on Google data sources.
Endpoints
Apache Spark: Distributed engine for large-scale data processing.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How Apache Spark entities map to Looker Studio
| Apache Spark entity | Looker Studio object | Notes |
|---|---|---|
| jobs | apache_spark_jobs | id PK · custom fields → flattened columns for chart fields |
| 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 Looker Studio?
Flexible values are stored as flattened columns for chart fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker Studio types.
How does the Apache Spark to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Apache Spark
More sources for Looker Studio
- Apify → Looker Studio
- Appfollow → Looker Studio
- Apple Search Ads → Looker Studio
- Ashby → Looker Studio
- Autopilot → Looker Studio
- AWS CloudTrail → Looker Studio
- Azure Table Storage → Looker Studio
- Azure Blob Storage → Looker Studio
- Babelforce → Looker Studio
- BigCommerce → Looker Studio
- Google BigQuery → Looker Studio
- Branch → Looker Studio
Early access
Connect Apache Spark to Looker Studio 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.