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Fair job scheduler on Kubernetes and Mesos for batch workloads and Spark
Overview
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v1.62.1
1 year ago
Added
Add support for pool quotas across pools, from @scrosby
v1.62.0
1 year ago
Added
Add support for routing jobs between pools based on constraints, from @scrosby
v1.61.3
1 year ago
v1.61.2
1 year ago
Changed
Add more opentracing spans to the match cycle, @samincheva
Fixed
Disabled pools integration tests handle 0 quota better, from @samincheva
v1.61.1
1 year ago
Added
Opentracing for the match cycle logic, from @samincheva
Fixed
Allow preemptions for tasks with unknown status, from @ahaysx
Fix rebalancer integration test to handle failures better, from @ahaysx
v1.61.0
1 year ago
Changed
Moved the global launch/kill ordering lock to be per compute-cluster, from @laurameng
v1.60.2
1 year ago
Fixed
Fix bug in api-only flag that would fail operations requiring a connection to the leader, from @samincheva
v1.60.1
1 year ago
Changed
Cook now determines which pool a k8s node is in via a label instead of a taint, from @scrosby
Fixed
Ascribe NodeAffinity k8s failures to node preemption, from @scrosby
v1.59.7
1 year ago
Changed
Updated instance->user cache to handle fake entities for waiting jobs, to speed up worst-case rank loop performance, by @scrosby
Fixed
Updated structured logging utility to handle failed json conversion, from @samincheva
Updated format-map-for-structured-logging to traverse nested maps instead of flattening them, from @samincheva
v1.59.6
2 years ago
Changed
Updated scheduler, compute cluster, and kubernetes API code to use structured logging, from @samincheva
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