Details
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Epic
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Status: Resolved
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Critical
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Resolution: Fixed
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4.0.0
Description
Spark Standalone Cluster has been supported for a long time as one of the resource managers.
As a part of Apache Spark 4.0.0, we revisit all layers of `Spark Standalone Cluster` as a long running subsystem inside K8s environment.
- Spark Master, Worker, History Server Web UI Layer
- Spark Master HA and Recovery Layer
- Spark Master REST API Layer (including Cluster Utilization monitoring)
- Spark Job Scheduling Layer
- Spark Worker Management by exposing Cluster Utilization monitoring for Elastic Cluster Management
- Spark Master/Worker dependency and classpath audit
- Security
- Documentation
Attachments
Issue Links
- is related to
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SPARK-45877 ExecutorFailureTracker support for standalone mode
- Open
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SPARK-45923 Spark Kubernetes Operator
- Resolved
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SPARK-44111 Prepare Apache Spark 4.0.0
- Open
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SPARK-47046 Apache Spark 4.0.0 Dependency Audit and Cleanup
- Resolved
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SPARK-49524 Improve K8s support
- Resolved