Source code for azure.batch.models.pool_usage_metrics

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from msrest.serialization import Model


[docs]class PoolUsageMetrics(Model): """Usage metrics for a pool across an aggregation interval. :param pool_id: The ID of the pool whose metrics are aggregated in this entry. :type pool_id: str :param start_time: The start time of the aggregation interval covered by this entry. :type start_time: datetime :param end_time: The end time of the aggregation interval covered by this entry. :type end_time: datetime :param vm_size: The size of virtual machines in the pool. All VMs in a pool are the same size. For information about available sizes of virtual machines in pools, see Choose a VM size for compute nodes in an Azure Batch pool (https://docs.microsoft.com/azure/batch/batch-pool-vm-sizes). Batch supports all Cloud Services VM sizes except ExtraSmall, STANDARD_A1_V2 and STANDARD_A2_V2. For information about available VM sizes for pools using images from the Virtual Machines Marketplace (pools created with virtualMachineConfiguration) see Sizes for Virtual Machines (Linux) (https://azure.microsoft.com/documentation/articles/virtual-machines-linux-sizes/) or Sizes for Virtual Machines (Windows) (https://azure.microsoft.com/documentation/articles/virtual-machines-windows-sizes/). Batch supports all Azure VM sizes except STANDARD_A0 and those with premium storage (STANDARD_GS, STANDARD_DS, and STANDARD_DSV2 series). :type vm_size: str :param total_core_hours: The total core hours used in the pool during this aggregation interval. :type total_core_hours: float :param data_ingress_gi_b: The cross data center network ingress to the pool during this interval, in GiB. :type data_ingress_gi_b: float :param data_egress_gi_b: The cross data center network egress from the pool during this interval, in GiB. :type data_egress_gi_b: float """ _validation = { 'pool_id': {'required': True}, 'start_time': {'required': True}, 'end_time': {'required': True}, 'vm_size': {'required': True}, 'total_core_hours': {'required': True}, 'data_ingress_gi_b': {'required': True}, 'data_egress_gi_b': {'required': True}, } _attribute_map = { 'pool_id': {'key': 'poolId', 'type': 'str'}, 'start_time': {'key': 'startTime', 'type': 'iso-8601'}, 'end_time': {'key': 'endTime', 'type': 'iso-8601'}, 'vm_size': {'key': 'vmSize', 'type': 'str'}, 'total_core_hours': {'key': 'totalCoreHours', 'type': 'float'}, 'data_ingress_gi_b': {'key': 'dataIngressGiB', 'type': 'float'}, 'data_egress_gi_b': {'key': 'dataEgressGiB', 'type': 'float'}, } def __init__(self, pool_id, start_time, end_time, vm_size, total_core_hours, data_ingress_gi_b, data_egress_gi_b): super(PoolUsageMetrics, self).__init__() self.pool_id = pool_id self.start_time = start_time self.end_time = end_time self.vm_size = vm_size self.total_core_hours = total_core_hours self.data_ingress_gi_b = data_ingress_gi_b self.data_egress_gi_b = data_egress_gi_b