Apache Spark to PostgreSQL Integration
AI-first ETL from Apache Spark into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apache Spark into PostgreSQL
Datrise syncs Apache Spark's jobs, stages, tasks, executors, SQL queries, and application metrics 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
Apache Spark: Distributed engine for large-scale data processing.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Apache Spark entities map to PostgreSQL
| Apache Spark entity | PostgreSQL object | Notes |
|---|---|---|
| jobs | apache_spark_jobs | id PK · custom fields → jsonb 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 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 Apache Spark 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
More destinations for Apache Spark
- Apache Spark → MySQL
- Apache Spark → Microsoft SQL Server
- Apache Spark → Oracle Database
- Apache Spark → Snowflake
- Apache Spark → Google BigQuery
- Apache Spark → Amazon Redshift
- Apache Spark → Databricks SQL Warehouse
- Apache Spark → ClickHouse
- Apache Spark → DuckDB
- Apache Spark → Amazon Athena
- Apache Spark → Amazon S3 Data Lake
- Apache Spark → Azure Data Lake Storage
More sources for PostgreSQL
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