Role
Required
Spark worker in the Apache Spark stack
This page explains what Spark worker means in the Apache Spark stack: how it is included, which base service it uses, and how it connects to the rest of the stack.
Spark worker is included by default and treated as a required part of the Apache Spark stack.
Base service
Apache Spark worker
Type
service
Delivery
Prebuilt service image
Stack fit
How Spark worker fits into this stack
Spark worker is included by default and treated as a required part of the Apache Spark stack.
This stack service is based on Apache Spark worker and keeps the service-specific setup for Apache Spark in one place.
It is linked to Spark master inside the stack.
Version policy
Available versions include 4.1.
Inclusion
Enabled by default: Yes
Required: Yes
Primary: No
Connections
master: Spark master
Storage
This stack service does not define persistent volume sizes.
Stack-specific technical details
Review the operational capabilities exposed by Spark worker inside this stack, including backups, imports, configs, settings, cron, actions, storage, and service links where they exist.
Settings
Tune service behavior per environment while keeping one reusable stack baseline.
Worker CPU cores
Default value: 2.
Worker memory
Default value: 2g.
Service links
See how services are wired together so dependencies stay consistent across environments.
Apache Spark master
Linked to Spark master. Required.