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Version: v2.10.0

SQL

SQL jobs are designed for structured data processing, analytical queries, and scheduled transformations. SQL jobs allow users to execute SQL queries directly against the Yeedu compute engine.

SQL Job

Input Methods​

  • Inline Query: Write SQL directly in the editor
  • Upload SQL File: Upload .sql scripts with one or more queries

Required Fields​

  • Cluster: Cluster that will execute the SQL queries
  • Path (Optional): Select a stored SQL script from the repository

Advanced Options​

You can configure:

  • Packages – Add required dependencies
  • Files – Include supporting files
  • JARs – Attach external libraries
  • Spark Configs – Configure Spark properties
  • Concurrent Runs – Control parallel job executions

Advanced Options

Common Use Cases​

  • Reporting pipelines
  • Data quality checks
  • Incremental transformation jobs