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chore: librarian generate pull request: 20260325T173440Z (#1529) · googleapis/google-cloud-python@9d2338a

@@ -542,11 +542,24 @@ class AutoscalingTargets(proto.Message):

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Attributes:

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high_priority_cpu_utilization_percent (int):

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Required. The target high priority cpu utilization

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Optional. The target high priority cpu utilization

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percentage that the autoscaler should be trying to achieve

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for the instance. This number is on a scale from 0 (no

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utilization) to 100 (full utilization). The valid range is

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[10, 90] inclusive.

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[10, 90] inclusive. If not specified or set to 0, the

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autoscaler skips scaling based on high priority CPU

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utilization.

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total_cpu_utilization_percent (int):

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Optional. The target total CPU utilization percentage that

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the autoscaler should be trying to achieve for the instance.

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This number is on a scale from 0 (no utilization) to 100

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(full utilization). The valid range is [10, 90] inclusive.

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If not specified or set to 0, the autoscaler skips scaling

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based on total CPU utilization. If both

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``high_priority_cpu_utilization_percent`` and

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``total_cpu_utilization_percent`` are specified, the

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autoscaler provisions the larger of the two required compute

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capacities to satisfy both targets.

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storage_utilization_percent (int):

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Required. The target storage utilization percentage that the

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autoscaler should be trying to achieve for the instance.

@@ -558,6 +571,10 @@ class AutoscalingTargets(proto.Message):

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proto.INT32,

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number=1,

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)

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total_cpu_utilization_percent: int = proto.Field(

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proto.INT32,

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number=4,

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)

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storage_utilization_percent: int = proto.Field(

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proto.INT32,

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number=2,

@@ -593,6 +610,58 @@ class AutoscalingConfigOverrides(proto.Message):

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Optional. If specified, overrides the autoscaling target

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high_priority_cpu_utilization_percent in the top-level

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autoscaling configuration for the selected replicas.

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autoscaling_target_total_cpu_utilization_percent (int):

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Optional. If specified, overrides the autoscaling target

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``total_cpu_utilization_percent`` in the top-level

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autoscaling configuration for the selected replicas.

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disable_high_priority_cpu_autoscaling (bool):

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Optional. If true, disables high priority CPU autoscaling

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for the selected replicas and ignores

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[high_priority_cpu_utilization_percent][google.spanner.admin.instance.v1.AutoscalingConfig.AutoscalingTargets.high_priority_cpu_utilization_percent]

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in the top-level autoscaling configuration.

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When setting this field to true, setting

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[autoscaling_target_high_priority_cpu_utilization_percent][google.spanner.admin.instance.v1.AutoscalingConfig.AsymmetricAutoscalingOption.AutoscalingConfigOverrides.autoscaling_target_high_priority_cpu_utilization_percent]

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field to a non-zero value for the same replica is not

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supported.

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If false, the

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[autoscaling_target_high_priority_cpu_utilization_percent][google.spanner.admin.instance.v1.AutoscalingConfig.AsymmetricAutoscalingOption.AutoscalingConfigOverrides.autoscaling_target_high_priority_cpu_utilization_percent]

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field in the replica will be used if set to a non-zero

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value. Otherwise, the

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[high_priority_cpu_utilization_percent][google.spanner.admin.instance.v1.AutoscalingConfig.AutoscalingTargets.high_priority_cpu_utilization_percent]

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field in the top-level autoscaling configuration will be

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used.

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Setting both

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[disable_high_priority_cpu_autoscaling][google.spanner.admin.instance.v1.AutoscalingConfig.AsymmetricAutoscalingOption.AutoscalingConfigOverrides.disable_high_priority_cpu_autoscaling]

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and

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[disable_total_cpu_autoscaling][google.spanner.admin.instance.v1.AutoscalingConfig.AsymmetricAutoscalingOption.AutoscalingConfigOverrides.disable_total_cpu_autoscaling]

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to true for the same replica is not supported.

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disable_total_cpu_autoscaling (bool):

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Optional. If true, disables total CPU autoscaling for the

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selected replicas and ignores

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[total_cpu_utilization_percent][google.spanner.admin.instance.v1.AutoscalingConfig.AutoscalingTargets.total_cpu_utilization_percent]

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in the top-level autoscaling configuration.

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When setting this field to true, setting

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[autoscaling_target_total_cpu_utilization_percent][google.spanner.admin.instance.v1.AutoscalingConfig.AsymmetricAutoscalingOption.AutoscalingConfigOverrides.autoscaling_target_total_cpu_utilization_percent]

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field to a non-zero value for the same replica is not

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supported.

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If false, the

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[autoscaling_target_total_cpu_utilization_percent][google.spanner.admin.instance.v1.AutoscalingConfig.AsymmetricAutoscalingOption.AutoscalingConfigOverrides.autoscaling_target_total_cpu_utilization_percent]

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field in the replica will be used if set to a non-zero

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value. Otherwise, the

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[total_cpu_utilization_percent][google.spanner.admin.instance.v1.AutoscalingConfig.AutoscalingTargets.total_cpu_utilization_percent]

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field in the top-level autoscaling configuration will be

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used.

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Setting both

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[disable_high_priority_cpu_autoscaling][google.spanner.admin.instance.v1.AutoscalingConfig.AsymmetricAutoscalingOption.AutoscalingConfigOverrides.disable_high_priority_cpu_autoscaling]

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and

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[disable_total_cpu_autoscaling][google.spanner.admin.instance.v1.AutoscalingConfig.AsymmetricAutoscalingOption.AutoscalingConfigOverrides.disable_total_cpu_autoscaling]

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to true for the same replica is not supported.

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"""

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autoscaling_limits: "AutoscalingConfig.AutoscalingLimits" = proto.Field(

@@ -604,6 +673,18 @@ class AutoscalingConfigOverrides(proto.Message):

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proto.INT32,

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number=2,

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)

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autoscaling_target_total_cpu_utilization_percent: int = proto.Field(

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proto.INT32,

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number=4,

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)

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disable_high_priority_cpu_autoscaling: bool = proto.Field(

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proto.BOOL,

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number=5,

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)

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disable_total_cpu_autoscaling: bool = proto.Field(

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proto.BOOL,

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number=6,

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)

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replica_selection: common.ReplicaSelection = proto.Field(

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proto.MESSAGE,