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[autoscaler] Support min_workers for multi node type (#11041)
* prepare for head node * move command runner interface outside _private * remove space * Eric * flake * min_workers in multi node type * fixing edge cases * eric not idle * fix target_workers to consider min_workers of node types * idle timeout * minor * minor fix * test * lint * eric v2 * eric 3 * min_workers constraint before bin packing * Update resource_demand_scheduler.py * Revert "Update resource_demand_scheduler.py" This reverts commit 818a63a2c86d8437b3ef21c5035d701c1d1127b5. * reducing diff Co-authored-by: Ameer Haj Ali <ameerhajali@ameers-mbp.lan> Co-authored-by: Alex Wu <alex@anyscale.io> Co-authored-by: Alex Wu <itswu.alex@gmail.com>
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co-authored by
Ameer Haj Ali
Alex Wu
Alex Wu
parent
0a6164ab15
commit
0d36e4c025
@@ -72,6 +72,7 @@ An example of configuring multiple node types is as follows `(full example) <htt
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node_config:
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InstanceType: m4.xlarge
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resources: {"CPU": 4}
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min_workers: 1
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max_workers: 5
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cpu_16_spot:
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node_config:
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@@ -117,10 +118,11 @@ The resources field tells the autoscaler what kinds of resources this node provi
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resources: {"CPU": 4, "GPU": 1, "Custom2": 2}
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The ``max_workers`` field constrains the number of nodes of this type that can be launched:
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The ``min_workers`` and ``max_workers`` fields constrain the minimum and maximum number of nodes of this type to launch, respectively:
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.. code::
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min_workers: 1
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max_workers: 4
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The ``worker_setup_commands`` field (and also the ``initialization_commands`` field, not shown) can be used to override the setup and initialization commands for a node type. Note that you can only override the setup for worker nodes. The head node's setup commands are always configured via the top level field in the cluster YAML:
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