查询gcloud计算区域describe us-Cental1--format=‘quotas[]’--format='csv[no-heading](quotas.metric，quotas.limit，quotas.usage)‘

Question

通过运行主题中提到的命令，我可以获得资源及其配额的列表。但是，我想忽略列表中的"COMMITED_CPUS“资源。请建议如何实现这一目标。

gcloud compute regions describe us-central1 --flatten='quotas[]' --format='csv[no-heading](quotas.metric,quotas.limit,quotas.usage)' 

输出如下：

CPUS,2400.0,1412.0
DISKS_TOTAL_GB,204800.0,542.0
STATIC_ADDRESSES,700.0,16.0
IN_USE_ADDRESSES,2300.0,5.0
SSD_TOTAL_GB,204800.0,61020.0
LOCAL_SSD_TOTAL_GB,30000.0,0.0
INSTANCE_GROUPS,2500.0,79.0
INSTANCE_GROUP_MANAGERS,1250.0,0.0
INSTANCES,24000.0,400.0
AUTOSCALERS,1250.0,0.0
REGIONAL_AUTOSCALERS,500.0,0.0
REGIONAL_INSTANCE_GROUP_MANAGERS,500.0,0.0
PREEMPTIBLE_CPUS,10000.0,0.0
NVIDIA_K80_GPUS,64.0,0.0
COMMITTED_CPUS,2400.0,0.0
COMMITTED_LOCAL_SSD_TOTAL_GB,30000.0,0.0
COMMITMENTS,2000.0,0.0
NETWORK_ENDPOINT_GROUPS,2500.0,0.0
INTERNAL_ADDRESSES,200.0,0.0
NVIDIA_P100_GPUS,64.0,0.0
PREEMPTIBLE_LOCAL_SSD_GB,0.0,0.0
PREEMPTIBLE_NVIDIA_K80_GPUS,0.0,0.0
PREEMPTIBLE_NVIDIA_P100_GPUS,0.0,0.0
NVIDIA_P100_VWS_GPUS,0.0,0.0
NVIDIA_V100_GPUS,0.0,0.0
NVIDIA_P4_GPUS,0.0,0.0
NVIDIA_P4_VWS_GPUS,0.0,0.0
PREEMPTIBLE_NVIDIA_V100_GPUS,0.0,0.0
PREEMPTIBLE_NVIDIA_P4_GPUS,0.0,0.0
PREEMPTIBLE_NVIDIA_P100_VWS_GPUS,0.0,0.0
PREEMPTIBLE_NVIDIA_P4_VWS_GPUS,0.0,0.0
INTERCONNECT_ATTACHMENTS_PER_REGION,16.0,0.0
INTERCONNECT_ATTACHMENTS_TOTAL_MBPS,80000.0,0.0
RESOURCE_POLICIES,5.0,0.0
IN_USE_SNAPSHOT_SCHEDULES,20.0,0.0
NVIDIA_T4_GPUS,1.0,0.0
NVIDIA_T4_VWS_GPUS,1.0,0.0
PREEMPTIBLE_NVIDIA_T4_GPUS,1.0,0.0
PREEMPTIBLE_NVIDIA_T4_VWS_GPUS,1.0,0.0
IN_USE_BACKUP_SCHEDULES,20.0,0.0
COMMITTED_NVIDIA_K80_GPUS,0.0,0.0
COMMITTED_NVIDIA_P100_GPUS,0.0,0.0
COMMITTED_NVIDIA_P4_GPUS,0.0,0.0
COMMITTED_NVIDIA_V100_GPUS,0.0,0.0
COMMITTED_NVIDIA_T4_GPUS,0.0,0.0
C2_CPUS,24.0,0.0
N2_CPUS,24.0,0.0
COMMITTED_N2_CPUS,0.0,0.0
COMMITTED_C2_CPUS,0.0,0.0
RESERVATIONS,100.0,0.0 

请建议如何使用某种忽略过滤器忽略输出中的"COMMITED_CPUS“值。

Answer 1

在linux中，您可以只使用grep命令来过滤掉不匹配的行。

类似这样的代码应该可以：

gcloud compute regions describe us-central1 --flatten='quotas[]' --format='csv[no-heading](quotas.metric,quotas.limit,quotas.usage)' | grep -v "COMMITTED_CPUS"