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. You'll reach it from the Create Job form via Job Type → Custom Code → Language → Spark SQL.

Required Fields

Field	Required	Notes
Cluster	-	Cluster that will execute the SQL queries
Job Type	Yes	Custom Code
Language	Yes	Spark SQL
Path	Yes	.sql script location, selected with Choose file
Arguments	No	Arguments passed to the script

Advanced Options

We provide an Append checkbox plus six dependency tabs, listed below:

Tab	Purpose
Configs	Spark configuration Key / Value rows (with Bulk Edit)
Packages	Add required dependencies
Jars	Attach external libraries
Repositories	Repositories used to resolve dependencies
Archives	Add archive files
Files	Include supporting files

Followed by Principal & Key Tab, Driver Config, Concurrent Runs (parallel job executions) and Timeout. See Create Job.