promql.go 35.3 KB
Newer Older
H
huanggze 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13
/*
Copyright 2019 The KubeSphere Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
    http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

G
Guangzhe Huang 已提交
14
package prometheus
H
huanggze 已提交
15

G
Guangzhe Huang 已提交
16 17 18 19
import (
	"fmt"
	"kubesphere.io/kubesphere/pkg/simple/client/monitoring"
	"strings"
H
huanggze 已提交
20 21
)

G
Guangzhe Huang 已提交
22 23 24 25 26
const (
	StatefulSet = "StatefulSet"
	DaemonSet   = "DaemonSet"
	Deployment  = "Deployment"
)
H
huanggze 已提交
27

G
Guangzhe Huang 已提交
28
var promQLTemplates = map[string]string{
H
huanggze 已提交
29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50
	//cluster
	"cluster_cpu_utilisation":            ":node_cpu_utilisation:avg1m",
	"cluster_cpu_usage":                  `round(:node_cpu_utilisation:avg1m * sum(node:node_num_cpu:sum), 0.001)`,
	"cluster_cpu_total":                  "sum(node:node_num_cpu:sum)",
	"cluster_memory_utilisation":         ":node_memory_utilisation:",
	"cluster_memory_available":           "sum(node:node_memory_bytes_available:sum)",
	"cluster_memory_total":               "sum(node:node_memory_bytes_total:sum)",
	"cluster_memory_usage_wo_cache":      "sum(node:node_memory_bytes_total:sum) - sum(node:node_memory_bytes_available:sum)",
	"cluster_net_utilisation":            ":node_net_utilisation:sum_irate",
	"cluster_net_bytes_transmitted":      "sum(node:node_net_bytes_transmitted:sum_irate)",
	"cluster_net_bytes_received":         "sum(node:node_net_bytes_received:sum_irate)",
	"cluster_disk_read_iops":             "sum(node:data_volume_iops_reads:sum)",
	"cluster_disk_write_iops":            "sum(node:data_volume_iops_writes:sum)",
	"cluster_disk_read_throughput":       "sum(node:data_volume_throughput_bytes_read:sum)",
	"cluster_disk_write_throughput":      "sum(node:data_volume_throughput_bytes_written:sum)",
	"cluster_disk_size_usage":            `sum(max(node_filesystem_size_bytes{device=~"/dev/.*", device!~"/dev/loop\\d+", job="node-exporter"} - node_filesystem_avail_bytes{device=~"/dev/.*", device!~"/dev/loop\\d+", job="node-exporter"}) by (device, instance))`,
	"cluster_disk_size_utilisation":      `cluster:disk_utilization:ratio`,
	"cluster_disk_size_capacity":         `sum(max(node_filesystem_size_bytes{device=~"/dev/.*", device!~"/dev/loop\\d+", job="node-exporter"}) by (device, instance))`,
	"cluster_disk_size_available":        `sum(max(node_filesystem_avail_bytes{device=~"/dev/.*", device!~"/dev/loop\\d+", job="node-exporter"}) by (device, instance))`,
	"cluster_disk_inode_total":           `sum(node:node_inodes_total:)`,
	"cluster_disk_inode_usage":           `sum(node:node_inodes_total:) - sum(node:node_inodes_free:)`,
	"cluster_disk_inode_utilisation":     `cluster:disk_inode_utilization:ratio`,
G
Guangzhe Huang 已提交
51
	"cluster_namespace_count":            `count(kube_namespace_labels)`,
H
huanggze 已提交
52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68
	"cluster_pod_count":                  `cluster:pod:sum`,
	"cluster_pod_quota":                  `sum(max(kube_node_status_capacity_pods) by (node) unless on (node) (kube_node_status_condition{condition="Ready",status=~"unknown|false"} > 0))`,
	"cluster_pod_utilisation":            `cluster:pod_utilization:ratio`,
	"cluster_pod_running_count":          `cluster:pod_running:count`,
	"cluster_pod_succeeded_count":        `count(kube_pod_info unless on (pod) (kube_pod_status_phase{phase=~"Failed|Pending|Unknown|Running"} > 0) unless on (node) (kube_node_status_condition{condition="Ready",status=~"unknown|false"} > 0))`,
	"cluster_pod_abnormal_count":         `cluster:pod_abnormal:sum`,
	"cluster_node_online":                `sum(kube_node_status_condition{condition="Ready",status="true"})`,
	"cluster_node_offline":               `cluster:node_offline:sum`,
	"cluster_node_total":                 `sum(kube_node_status_condition{condition="Ready"})`,
	"cluster_cronjob_count":              `sum(kube_cronjob_labels)`,
	"cluster_pvc_count":                  `sum(kube_persistentvolumeclaim_info)`,
	"cluster_daemonset_count":            `sum(kube_daemonset_labels)`,
	"cluster_deployment_count":           `sum(kube_deployment_labels)`,
	"cluster_endpoint_count":             `sum(kube_endpoint_labels)`,
	"cluster_hpa_count":                  `sum(kube_hpa_labels)`,
	"cluster_job_count":                  `sum(kube_job_labels)`,
	"cluster_statefulset_count":          `sum(kube_statefulset_labels)`,
G
Guangzhe Huang 已提交
69
	"cluster_replicaset_count":           `count(kube_replicaset_labels)`,
H
huanggze 已提交
70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117
	"cluster_service_count":              `sum(kube_service_info)`,
	"cluster_secret_count":               `sum(kube_secret_info)`,
	"cluster_pv_count":                   `sum(kube_persistentvolume_labels)`,
	"cluster_ingresses_extensions_count": `sum(kube_ingress_labels)`,
	"cluster_load1":                      `sum(node_load1{job="node-exporter"}) / sum(node:node_num_cpu:sum)`,
	"cluster_load5":                      `sum(node_load5{job="node-exporter"}) / sum(node:node_num_cpu:sum)`,
	"cluster_load15":                     `sum(node_load15{job="node-exporter"}) / sum(node:node_num_cpu:sum)`,
	"cluster_pod_abnormal_ratio":         `cluster:pod_abnormal:ratio`,
	"cluster_node_offline_ratio":         `cluster:node_offline:ratio`,

	//node
	"node_cpu_utilisation":        "node:node_cpu_utilisation:avg1m{$1}",
	"node_cpu_total":              "node:node_num_cpu:sum{$1}",
	"node_memory_utilisation":     "node:node_memory_utilisation:{$1}",
	"node_memory_available":       "node:node_memory_bytes_available:sum{$1}",
	"node_memory_total":           "node:node_memory_bytes_total:sum{$1}",
	"node_memory_usage_wo_cache":  "node:node_memory_bytes_total:sum{$1} - node:node_memory_bytes_available:sum{$1}",
	"node_net_utilisation":        "node:node_net_utilisation:sum_irate{$1}",
	"node_net_bytes_transmitted":  "node:node_net_bytes_transmitted:sum_irate{$1}",
	"node_net_bytes_received":     "node:node_net_bytes_received:sum_irate{$1}",
	"node_disk_read_iops":         "node:data_volume_iops_reads:sum{$1}",
	"node_disk_write_iops":        "node:data_volume_iops_writes:sum{$1}",
	"node_disk_read_throughput":   "node:data_volume_throughput_bytes_read:sum{$1}",
	"node_disk_write_throughput":  "node:data_volume_throughput_bytes_written:sum{$1}",
	"node_disk_size_capacity":     `sum(max(node_filesystem_size_bytes{device=~"/dev/.*", device!~"/dev/loop\\d+", job="node-exporter"} * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info:{$1}) by (device, node)) by (node)`,
	"node_disk_size_available":    `node:disk_space_available:{$1}`,
	"node_disk_size_usage":        `sum(max((node_filesystem_size_bytes{device=~"/dev/.*", device!~"/dev/loop\\d+", job="node-exporter"} - node_filesystem_avail_bytes{device=~"/dev/.*", device!~"/dev/loop\\d+", job="node-exporter"}) * on (namespace, pod) group_left(node) node_namespace_pod:kube_pod_info:{$1}) by (device, node)) by (node)`,
	"node_disk_size_utilisation":  `node:disk_space_utilization:ratio{$1}`,
	"node_disk_inode_total":       `node:node_inodes_total:{$1}`,
	"node_disk_inode_usage":       `node:node_inodes_total:{$1} - node:node_inodes_free:{$1}`,
	"node_disk_inode_utilisation": `node:disk_inode_utilization:ratio{$1}`,
	"node_pod_count":              `node:pod_count:sum{$1}`,
	"node_pod_quota":              `max(kube_node_status_capacity_pods{$1}) by (node) unless on (node) (kube_node_status_condition{condition="Ready",status=~"unknown|false"} > 0)`,
	"node_pod_utilisation":        `node:pod_utilization:ratio{$1}`,
	"node_pod_running_count":      `node:pod_running:count{$1}`,
	"node_pod_succeeded_count":    `node:pod_succeeded:count{$1}`,
	"node_pod_abnormal_count":     `node:pod_abnormal:count{$1}`,
	"node_cpu_usage":              `round(node:node_cpu_utilisation:avg1m{$1} * node:node_num_cpu:sum{$1}, 0.001)`,
	"node_load1":                  `node:load1:ratio{$1}`,
	"node_load5":                  `node:load5:ratio{$1}`,
	"node_load15":                 `node:load15:ratio{$1}`,
	"node_pod_abnormal_ratio":     `node:pod_abnormal:ratio{$1}`,

	// workspace
	"workspace_cpu_usage":                  `round(sum by (label_kubesphere_io_workspace) (namespace:container_cpu_usage_seconds_total:sum_rate{namespace!="", $1}), 0.001)`,
	"workspace_memory_usage":               `sum by (label_kubesphere_io_workspace) (namespace:container_memory_usage_bytes:sum{namespace!="", $1})`,
	"workspace_memory_usage_wo_cache":      `sum by (label_kubesphere_io_workspace) (namespace:container_memory_usage_bytes_wo_cache:sum{namespace!="", $1})`,
	"workspace_net_bytes_transmitted":      `sum by (label_kubesphere_io_workspace) (sum by (namespace) (irate(container_network_transmit_bytes_total{namespace!="", pod_name!="", interface!~"^(cali.+|tunl.+|dummy.+|kube.+|flannel.+|cni.+|docker.+|veth.+|lo.*)", job="kubelet"}[5m])) * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
H
huanggze 已提交
118
	"workspace_net_bytes_received":         `sum by (label_kubesphere_io_workspace) (sum by (namespace) (irate(container_network_receive_bytes_total{namespace!="", pod_name!="", interface!~"^(cali.+|tunl.+|dummy.+|kube.+|flannel.+|cni.+|docker.+|veth.+|lo.*)", job="kubelet"}[5m])) * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
H
huanggze 已提交
119 120 121 122 123 124 125 126 127 128 129 130 131
	"workspace_pod_count":                  `sum by (label_kubesphere_io_workspace) (kube_pod_status_phase{phase!~"Failed|Succeeded", namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_pod_running_count":          `sum by (label_kubesphere_io_workspace) (kube_pod_status_phase{phase="Running", namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_pod_succeeded_count":        `sum by (label_kubesphere_io_workspace) (kube_pod_status_phase{phase="Succeeded", namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_pod_abnormal_count":         `count by (label_kubesphere_io_workspace) ((kube_pod_info{node!=""} unless on (pod, namespace) (kube_pod_status_phase{job="kube-state-metrics", phase="Succeeded"}>0) unless on (pod, namespace) ((kube_pod_status_ready{job="kube-state-metrics", condition="true"}>0) and on (pod, namespace) (kube_pod_status_phase{job="kube-state-metrics", phase="Running"}>0)) unless on (pod, namespace) (kube_pod_container_status_waiting_reason{job="kube-state-metrics", reason="ContainerCreating"}>0)) * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_ingresses_extensions_count": `sum by (label_kubesphere_io_workspace) (kube_ingress_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_cronjob_count":              `sum by (label_kubesphere_io_workspace) (kube_cronjob_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_pvc_count":                  `sum by (label_kubesphere_io_workspace) (kube_persistentvolumeclaim_info{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_daemonset_count":            `sum by (label_kubesphere_io_workspace) (kube_daemonset_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_deployment_count":           `sum by (label_kubesphere_io_workspace) (kube_deployment_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_endpoint_count":             `sum by (label_kubesphere_io_workspace) (kube_endpoint_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_hpa_count":                  `sum by (label_kubesphere_io_workspace) (kube_hpa_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_job_count":                  `sum by (label_kubesphere_io_workspace) (kube_job_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_statefulset_count":          `sum by (label_kubesphere_io_workspace) (kube_statefulset_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
G
Guangzhe Huang 已提交
132
	"workspace_replicaset_count":           `count by (label_kubesphere_io_workspace) (kube_replicaset_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
H
huanggze 已提交
133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158
	"workspace_service_count":              `sum by (label_kubesphere_io_workspace) (kube_service_info{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_secret_count":               `sum by (label_kubesphere_io_workspace) (kube_secret_info{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,
	"workspace_pod_abnormal_ratio":         `count by (label_kubesphere_io_workspace) ((kube_pod_info{node!=""} unless on (pod, namespace) (kube_pod_status_phase{job="kube-state-metrics", phase="Succeeded"}>0) unless on (pod, namespace) ((kube_pod_status_ready{job="kube-state-metrics", condition="true"}>0) and on (pod, namespace) (kube_pod_status_phase{job="kube-state-metrics", phase="Running"}>0)) unless on (pod, namespace) (kube_pod_container_status_waiting_reason{job="kube-state-metrics", reason="ContainerCreating"}>0)) * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1}) / sum by (label_kubesphere_io_workspace) (kube_pod_status_phase{phase!="Succeeded", namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace)(kube_namespace_labels{$1}))`,

	//namespace
	"namespace_cpu_usage":                  `round(namespace:container_cpu_usage_seconds_total:sum_rate{namespace!="", $1}, 0.001)`,
	"namespace_memory_usage":               `namespace:container_memory_usage_bytes:sum{namespace!="", $1}`,
	"namespace_memory_usage_wo_cache":      `namespace:container_memory_usage_bytes_wo_cache:sum{namespace!="", $1}`,
	"namespace_net_bytes_transmitted":      `sum by (namespace) (irate(container_network_transmit_bytes_total{namespace!="", pod_name!="", interface!~"^(cali.+|tunl.+|dummy.+|kube.+|flannel.+|cni.+|docker.+|veth.+|lo.*)", job="kubelet"}[5m]) * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_net_bytes_received":         `sum by (namespace) (irate(container_network_receive_bytes_total{namespace!="", pod_name!="", interface!~"^(cali.+|tunl.+|dummy.+|kube.+|flannel.+|cni.+|docker.+|veth.+|lo.*)", job="kubelet"}[5m]) * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_pod_count":                  `sum by (namespace) (kube_pod_status_phase{phase!~"Failed|Succeeded", namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_pod_running_count":          `sum by (namespace) (kube_pod_status_phase{phase="Running", namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_pod_succeeded_count":        `sum by (namespace) (kube_pod_status_phase{phase="Succeeded", namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_pod_abnormal_count":         `namespace:pod_abnormal:count{namespace!="", $1}`,
	"namespace_pod_abnormal_ratio":         `namespace:pod_abnormal:ratio{namespace!="", $1}`,
	"namespace_memory_limit_hard":          `min by (namespace) (kube_resourcequota{resourcequota!="quota", type="hard", namespace!="", resource="limits.memory"} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_cpu_limit_hard":             `min by (namespace) (kube_resourcequota{resourcequota!="quota", type="hard", namespace!="", resource="limits.cpu"} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_pod_count_hard":             `min by (namespace) (kube_resourcequota{resourcequota!="quota", type="hard", namespace!="", resource="count/pods"} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_cronjob_count":              `sum by (namespace) (kube_cronjob_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_pvc_count":                  `sum by (namespace) (kube_persistentvolumeclaim_info{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_daemonset_count":            `sum by (namespace) (kube_daemonset_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_deployment_count":           `sum by (namespace) (kube_deployment_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_endpoint_count":             `sum by (namespace) (kube_endpoint_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_hpa_count":                  `sum by (namespace) (kube_hpa_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_job_count":                  `sum by (namespace) (kube_job_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_statefulset_count":          `sum by (namespace) (kube_statefulset_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
G
Guangzhe Huang 已提交
159
	"namespace_replicaset_count":           `count by (namespace) (kube_replicaset_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
H
huanggze 已提交
160 161
	"namespace_service_count":              `sum by (namespace) (kube_service_info{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_secret_count":               `sum by (namespace) (kube_secret_info{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
H
huanggze 已提交
162
	"namespace_configmap_count":            `sum by (namespace) (kube_configmap_info{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
H
huanggze 已提交
163 164 165 166 167
	"namespace_ingresses_extensions_count": `sum by (namespace) (kube_ingress_labels{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,
	"namespace_s2ibuilder_count":           `sum by (namespace) (s2i_s2ibuilder_created{namespace!=""} * on (namespace) group_left(label_kubesphere_io_workspace) kube_namespace_labels{$1})`,

	// workload
	"workload_cpu_usage":             `round(namespace:workload_cpu_usage:sum{$1}, 0.001)`,
H
huanggze 已提交
168
	"workload_memory_usage":          `namespace:workload_memory_usage:sum{$1}`,
H
huanggze 已提交
169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185
	"workload_memory_usage_wo_cache": `namespace:workload_memory_usage_wo_cache:sum{$1}`,
	"workload_net_bytes_transmitted": `namespace:workload_net_bytes_transmitted:sum_irate{$1}`,
	"workload_net_bytes_received":    `namespace:workload_net_bytes_received:sum_irate{$1}`,

	"workload_deployment_replica":                     `label_join(sum (label_join(label_replace(kube_deployment_spec_replicas{$2}, "owner_kind", "Deployment", "", ""), "workload", "", "deployment")) by (namespace, owner_kind, workload), "workload", ":", "owner_kind", "workload")`,
	"workload_deployment_replica_available":           `label_join(sum (label_join(label_replace(kube_deployment_status_replicas_available{$2}, "owner_kind", "Deployment", "", ""), "workload", "", "deployment")) by (namespace, owner_kind, workload), "workload", ":", "owner_kind", "workload")`,
	"workload_statefulset_replica":                    `label_join(sum (label_join(label_replace(kube_statefulset_replicas{$2}, "owner_kind", "StatefulSet", "", ""), "workload", "", "statefulset")) by (namespace, owner_kind, workload), "workload", ":", "owner_kind", "workload")`,
	"workload_statefulset_replica_available":          `label_join(sum (label_join(label_replace(kube_statefulset_status_replicas_current{$2}, "owner_kind", "StatefulSet", "", ""), "workload", "", "statefulset")) by (namespace, owner_kind, workload), "workload", ":", "owner_kind", "workload")`,
	"workload_daemonset_replica":                      `label_join(sum (label_join(label_replace(kube_daemonset_status_desired_number_scheduled{$2}, "owner_kind", "DaemonSet", "", ""), "workload", "", "daemonset")) by (namespace, owner_kind, workload), "workload", ":", "owner_kind", "workload")`,
	"workload_daemonset_replica_available":            `label_join(sum (label_join(label_replace(kube_daemonset_status_number_available{$2}, "owner_kind", "DaemonSet", "", ""), "workload", "", "daemonset")) by (namespace, owner_kind, workload), "workload", ":", "owner_kind", "workload")`,
	"workload_deployment_unavailable_replicas_ratio":  `namespace:deployment_unavailable_replicas:ratio{$1}`,
	"workload_daemonset_unavailable_replicas_ratio":   `namespace:daemonset_unavailable_replicas:ratio{$1}`,
	"workload_statefulset_unavailable_replicas_ratio": `namespace:statefulset_unavailable_replicas:ratio{$1}`,

	// pod
	"pod_cpu_usage":             `round(label_join(sum by (namespace, pod_name) (irate(container_cpu_usage_seconds_total{job="kubelet", pod_name!="", image!=""}[5m])), "pod", "", "pod_name") * on (namespace, pod) group_left(owner_kind, owner_name) kube_pod_owner{$1} * on (namespace, pod) group_left(node) kube_pod_info{$2}, 0.001)`,
	"pod_memory_usage":          `label_join(sum by (namespace, pod_name) (container_memory_usage_bytes{job="kubelet", pod_name!="", image!=""}), "pod", "", "pod_name") * on (namespace, pod) group_left(owner_kind, owner_name) kube_pod_owner{$1} * on (namespace, pod) group_left(node) kube_pod_info{$2}`,
G
Guangzhe Huang 已提交
186
	"pod_memory_usage_wo_cache": `label_join(sum by (namespace, pod_name) (container_memory_working_set_bytes{job="kubelet", pod_name!="", image!=""}), "pod", "", "pod_name") * on (namespace, pod) group_left(owner_kind, owner_name) kube_pod_owner{$1} * on (namespace, pod) group_left(node) kube_pod_info{$2}`,
H
huanggze 已提交
187 188 189 190 191 192
	"pod_net_bytes_transmitted": `label_join(sum by (namespace, pod_name) (irate(container_network_transmit_bytes_total{pod_name!="", interface!~"^(cali.+|tunl.+|dummy.+|kube.+|flannel.+|cni.+|docker.+|veth.+|lo.*)", job="kubelet"}[5m])), "pod", "", "pod_name") * on (namespace, pod) group_left(owner_kind, owner_name) kube_pod_owner{$1} * on (namespace, pod) group_left(node) kube_pod_info{$2}`,
	"pod_net_bytes_received":    `label_join(sum by (namespace, pod_name) (irate(container_network_receive_bytes_total{pod_name!="", interface!~"^(cali.+|tunl.+|dummy.+|kube.+|flannel.+|cni.+|docker.+|veth.+|lo.*)", job="kubelet"}[5m])), "pod", "", "pod_name") * on (namespace, pod) group_left(owner_kind, owner_name) kube_pod_owner{$1} * on (namespace, pod) group_left(node) kube_pod_info{$2}`,

	// container
	"container_cpu_usage":             `round(sum by (namespace, pod_name, container_name) (irate(container_cpu_usage_seconds_total{job="kubelet", container_name!="POD", container_name!="", image!="", $1}[5m])), 0.001)`,
	"container_memory_usage":          `sum by (namespace, pod_name, container_name) (container_memory_usage_bytes{job="kubelet", container_name!="POD", container_name!="", image!="", $1})`,
G
Guangzhe Huang 已提交
193
	"container_memory_usage_wo_cache": `sum by (namespace, pod_name, container_name) (container_memory_working_set_bytes{job="kubelet", container_name!="POD", container_name!="", image!="", $1})`,
H
huanggze 已提交
194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256

	// pvc
	"pvc_inodes_available":   `max by (namespace, persistentvolumeclaim) (kubelet_volume_stats_inodes_free) * on (namespace, persistentvolumeclaim) group_left (storageclass) kube_persistentvolumeclaim_info{$1}`,
	"pvc_inodes_used":        `max by (namespace, persistentvolumeclaim) (kubelet_volume_stats_inodes_used) * on (namespace, persistentvolumeclaim) group_left (storageclass) kube_persistentvolumeclaim_info{$1}`,
	"pvc_inodes_total":       `max by (namespace, persistentvolumeclaim) (kubelet_volume_stats_inodes) * on (namespace, persistentvolumeclaim) group_left (storageclass) kube_persistentvolumeclaim_info{$1}`,
	"pvc_inodes_utilisation": `max by (namespace, persistentvolumeclaim) (kubelet_volume_stats_inodes_used / kubelet_volume_stats_inodes) * on (namespace, persistentvolumeclaim) group_left (storageclass) kube_persistentvolumeclaim_info{$1}`,
	"pvc_bytes_available":    `max by (namespace, persistentvolumeclaim) (kubelet_volume_stats_available_bytes) * on (namespace, persistentvolumeclaim) group_left (storageclass) kube_persistentvolumeclaim_info{$1}`,
	"pvc_bytes_used":         `max by (namespace, persistentvolumeclaim) (kubelet_volume_stats_used_bytes) * on (namespace, persistentvolumeclaim) group_left (storageclass) kube_persistentvolumeclaim_info{$1}`,
	"pvc_bytes_total":        `max by (namespace, persistentvolumeclaim) (kubelet_volume_stats_capacity_bytes) * on (namespace, persistentvolumeclaim) group_left (storageclass) kube_persistentvolumeclaim_info{$1}`,
	"pvc_bytes_utilisation":  `max by (namespace, persistentvolumeclaim) (kubelet_volume_stats_used_bytes / kubelet_volume_stats_capacity_bytes) * on (namespace, persistentvolumeclaim) group_left (storageclass) kube_persistentvolumeclaim_info{$1}`,

	// component
	"etcd_server_list":                           `label_replace(up{job="etcd"}, "node_ip", "$1", "instance", "(.*):.*")`,
	"etcd_server_total":                          `count(up{job="etcd"})`,
	"etcd_server_up_total":                       `etcd:up:sum`,
	"etcd_server_has_leader":                     `label_replace(etcd_server_has_leader, "node_ip", "$1", "instance", "(.*):.*")`,
	"etcd_server_leader_changes":                 `label_replace(etcd:etcd_server_leader_changes_seen:sum_changes, "node_ip", "$1", "node", "(.*)")`,
	"etcd_server_proposals_failed_rate":          `avg(etcd:etcd_server_proposals_failed:sum_irate)`,
	"etcd_server_proposals_applied_rate":         `avg(etcd:etcd_server_proposals_applied:sum_irate)`,
	"etcd_server_proposals_committed_rate":       `avg(etcd:etcd_server_proposals_committed:sum_irate)`,
	"etcd_server_proposals_pending_count":        `avg(etcd:etcd_server_proposals_pending:sum)`,
	"etcd_mvcc_db_size":                          `avg(etcd:etcd_debugging_mvcc_db_total_size:sum)`,
	"etcd_network_client_grpc_received_bytes":    `sum(etcd:etcd_network_client_grpc_received_bytes:sum_irate)`,
	"etcd_network_client_grpc_sent_bytes":        `sum(etcd:etcd_network_client_grpc_sent_bytes:sum_irate)`,
	"etcd_grpc_call_rate":                        `sum(etcd:grpc_server_started:sum_irate)`,
	"etcd_grpc_call_failed_rate":                 `sum(etcd:grpc_server_handled:sum_irate)`,
	"etcd_grpc_server_msg_received_rate":         `sum(etcd:grpc_server_msg_received:sum_irate)`,
	"etcd_grpc_server_msg_sent_rate":             `sum(etcd:grpc_server_msg_sent:sum_irate)`,
	"etcd_disk_wal_fsync_duration":               `avg(etcd:etcd_disk_wal_fsync_duration:avg)`,
	"etcd_disk_wal_fsync_duration_quantile":      `avg(etcd:etcd_disk_wal_fsync_duration:histogram_quantile) by (quantile)`,
	"etcd_disk_backend_commit_duration":          `avg(etcd:etcd_disk_backend_commit_duration:avg)`,
	"etcd_disk_backend_commit_duration_quantile": `avg(etcd:etcd_disk_backend_commit_duration:histogram_quantile) by (quantile)`,

	"apiserver_up_sum":                    `apiserver:up:sum`,
	"apiserver_request_rate":              `apiserver:apiserver_request_count:sum_irate`,
	"apiserver_request_by_verb_rate":      `apiserver:apiserver_request_count:sum_verb_irate`,
	"apiserver_request_latencies":         `apiserver:apiserver_request_latencies:avg`,
	"apiserver_request_by_verb_latencies": `apiserver:apiserver_request_latencies:avg_by_verb`,

	"scheduler_up_sum":                          `scheduler:up:sum`,
	"scheduler_schedule_attempts":               `scheduler:scheduler_schedule_attempts:sum`,
	"scheduler_schedule_attempt_rate":           `scheduler:scheduler_schedule_attempts:sum_rate`,
	"scheduler_e2e_scheduling_latency":          `scheduler:scheduler_e2e_scheduling_latency:avg`,
	"scheduler_e2e_scheduling_latency_quantile": `scheduler:scheduler_e2e_scheduling_latency:histogram_quantile`,

	"controller_manager_up_sum": `controller_manager:up:sum`,

	"coredns_up_sum":                          `coredns:up:sum`,
	"coredns_cache_hits":                      `coredns:coredns_cache_hits_total:sum_irate`,
	"coredns_cache_misses":                    `coredns:coredns_cache_misses:sum_irate`,
	"coredns_dns_request_rate":                `coredns:coredns_dns_request_count:sum_irate`,
	"coredns_dns_request_duration":            `coredns:coredns_dns_request_duration:avg`,
	"coredns_dns_request_duration_quantile":   `coredns:coredns_dns_request_duration:histogram_quantile`,
	"coredns_dns_request_by_type_rate":        `coredns:coredns_dns_request_type_count:sum_irate`,
	"coredns_dns_request_by_rcode_rate":       `coredns:coredns_dns_response_rcode_count:sum_irate`,
	"coredns_panic_rate":                      `coredns:coredns_panic_count:sum_irate`,
	"coredns_proxy_request_rate":              `coredns:coredns_proxy_request_count:sum_irate`,
	"coredns_proxy_request_duration":          `coredns:coredns_proxy_request_duration:avg`,
	"coredns_proxy_request_duration_quantile": `coredns:coredns_proxy_request_duration:histogram_quantile`,

	"prometheus_up_sum":                          `prometheus:up:sum`,
	"prometheus_tsdb_head_samples_appended_rate": `prometheus:prometheus_tsdb_head_samples_appended:sum_rate`,
}
G
Guangzhe Huang 已提交
257

Z
zryfish 已提交
258
func makeExpr(metric string, opt monitoring.QueryOptions) string {
G
Guangzhe Huang 已提交
259 260 261
	tmpl := promQLTemplates[metric]
	switch opt.Level {
	case monitoring.LevelCluster:
Z
zryfish 已提交
262
		return tmpl
G
Guangzhe Huang 已提交
263
	case monitoring.LevelNode:
Z
zryfish 已提交
264
		return makeNodeMetricExpr(tmpl, opt)
G
Guangzhe Huang 已提交
265
	case monitoring.LevelWorkspace:
Z
zryfish 已提交
266
		return makeWorkspaceMetricExpr(tmpl, opt)
G
Guangzhe Huang 已提交
267
	case monitoring.LevelNamespace:
Z
zryfish 已提交
268
		return makeNamespaceMetricExpr(tmpl, opt)
G
Guangzhe Huang 已提交
269
	case monitoring.LevelWorkload:
Z
zryfish 已提交
270
		return makeWorkloadMetricExpr(tmpl, opt)
G
Guangzhe Huang 已提交
271
	case monitoring.LevelPod:
Z
zryfish 已提交
272
		return makePodMetricExpr(tmpl, opt)
G
Guangzhe Huang 已提交
273
	case monitoring.LevelContainer:
Z
zryfish 已提交
274
		return makeContainerMetricExpr(tmpl, opt)
G
Guangzhe Huang 已提交
275
	case monitoring.LevelPVC:
Z
zryfish 已提交
276
		return makePVCMetricExpr(tmpl, opt)
G
Guangzhe Huang 已提交
277
	case monitoring.LevelComponent:
Z
zryfish 已提交
278
		return tmpl
G
Guangzhe Huang 已提交
279
	default:
Z
zryfish 已提交
280
		return tmpl
G
Guangzhe Huang 已提交
281 282 283
	}
}

Z
zryfish 已提交
284
func makeNodeMetricExpr(tmpl string, o monitoring.QueryOptions) string {
G
Guangzhe Huang 已提交
285 286 287 288 289 290 291 292 293
	var nodeSelector string
	if o.NodeName != "" {
		nodeSelector = fmt.Sprintf(`node="%s"`, o.NodeName)
	} else {
		nodeSelector = fmt.Sprintf(`node=~"%s"`, o.ResourceFilter)
	}
	return strings.Replace(tmpl, "$1", nodeSelector, -1)
}

Z
zryfish 已提交
294
func makeWorkspaceMetricExpr(tmpl string, o monitoring.QueryOptions) string {
G
Guangzhe Huang 已提交
295 296 297 298 299 300 301 302 303
	var workspaceSelector string
	if o.WorkspaceName != "" {
		workspaceSelector = fmt.Sprintf(`label_kubesphere_io_workspace="%s"`, o.WorkspaceName)
	} else {
		workspaceSelector = fmt.Sprintf(`label_kubesphere_io_workspace=~"%s", label_kubesphere_io_workspace!=""`, o.ResourceFilter)
	}
	return strings.Replace(tmpl, "$1", workspaceSelector, -1)
}

Z
zryfish 已提交
304
func makeNamespaceMetricExpr(tmpl string, o monitoring.QueryOptions) string {
G
Guangzhe Huang 已提交
305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324
	var namespaceSelector string

	// For monitoring namespaces in the specific workspace
	// GET /workspaces/{workspace}/namespaces
	if o.WorkspaceName != "" {
		namespaceSelector = fmt.Sprintf(`label_kubesphere_io_workspace="%s", namespace=~"%s"`, o.WorkspaceName, o.ResourceFilter)
		return strings.Replace(tmpl, "$1", namespaceSelector, -1)
	}

	// For monitoring the specific namespaces
	// GET /namespaces/{namespace} or
	// GET /namespaces
	if o.NamespaceName != "" {
		namespaceSelector = fmt.Sprintf(`namespace="%s"`, o.NamespaceName)
	} else {
		namespaceSelector = fmt.Sprintf(`namespace=~"%s"`, o.ResourceFilter)
	}
	return strings.Replace(tmpl, "$1", namespaceSelector, -1)
}

Z
zryfish 已提交
325
func makeWorkloadMetricExpr(tmpl string, o monitoring.QueryOptions) string {
G
Guangzhe Huang 已提交
326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344
	var kindSelector, workloadSelector string
	switch o.WorkloadKind {
	case "deployment":
		o.WorkloadKind = Deployment
		kindSelector = fmt.Sprintf(`namespace="%s", deployment!="", deployment=~"%s"`, o.NamespaceName, o.ResourceFilter)
	case "statefulset":
		o.WorkloadKind = StatefulSet
		kindSelector = fmt.Sprintf(`namespace="%s", statefulset!="", statefulset=~"%s"`, o.NamespaceName, o.ResourceFilter)
	case "daemonset":
		o.WorkloadKind = DaemonSet
		kindSelector = fmt.Sprintf(`namespace="%s", daemonset!="", daemonset=~"%s"`, o.NamespaceName, o.ResourceFilter)
	default:
		o.WorkloadKind = ".*"
		kindSelector = fmt.Sprintf(`namespace="%s"`, o.NamespaceName)
	}
	workloadSelector = fmt.Sprintf(`namespace="%s", workload=~"%s:%s"`, o.NamespaceName, o.WorkloadKind, o.ResourceFilter)
	return strings.NewReplacer("$1", workloadSelector, "$2", kindSelector).Replace(tmpl)
}

Z
zryfish 已提交
345
func makePodMetricExpr(tmpl string, o monitoring.QueryOptions) string {
G
Guangzhe Huang 已提交
346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374
	var podSelector, workloadSelector string

	// For monitoriong pods of the specific workload
	// GET /namespaces/{namespace}/workloads/{kind}/{workload}/pods
	if o.WorkloadName != "" {
		switch o.WorkloadKind {
		case "deployment":
			workloadSelector = fmt.Sprintf(`owner_kind="ReplicaSet", owner_name=~"^%s-[^-]{1,10}$"`, o.WorkloadKind)
		case "statefulset":
			workloadSelector = fmt.Sprintf(`owner_kind="StatefulSet", owner_name="%s"`, o.WorkloadKind)
		case "daemonset":
			workloadSelector = fmt.Sprintf(`owner_kind="DaemonSet", owner_name="%s"`, o.WorkloadKind)
		}
	}

	// For monitoring pods in the specific namespace
	// GET /namespaces/{namespace}/workloads/{kind}/{workload}/pods or
	// GET /namespaces/{namespace}/pods/{pod} or
	// GET /namespaces/{namespace}/pods
	if o.NamespaceName != "" {
		if o.PodName != "" {
			podSelector = fmt.Sprintf(`pod="%s", namespace="%s"`, o.PodName, o.NamespaceName)
		} else {
			podSelector = fmt.Sprintf(`pod=~"%s", namespace="%s"`, o.ResourceFilter, o.NamespaceName)
		}
	}

	// For monitoring pods on the specific node
	// GET /nodes/{node}/pods/{pod}
Z
zryfish 已提交
375
	if o.NodeName != "" {
G
Guangzhe Huang 已提交
376 377 378 379 380 381 382 383 384
		if o.PodName != "" {
			podSelector = fmt.Sprintf(`pod="%s", node="%s"`, o.PodName, o.NodeName)
		} else {
			podSelector = fmt.Sprintf(`pod=~"%s", node="%s"`, o.ResourceFilter, o.NodeName)
		}
	}
	return strings.NewReplacer("$1", workloadSelector, "$2", podSelector).Replace(tmpl)
}

Z
zryfish 已提交
385
func makeContainerMetricExpr(tmpl string, o monitoring.QueryOptions) string {
G
Guangzhe Huang 已提交
386 387 388 389 390 391 392 393 394
	var containerSelector string
	if o.ContainerName != "" {
		containerSelector = fmt.Sprintf(`pod_name="%s", namespace="%s", container_name="%s"`, o.PodName, o.NamespaceName, o.ContainerName)
	} else {
		containerSelector = fmt.Sprintf(`pod_name="%s", namespace="%s", container_name=~"%s"`, o.PodName, o.NamespaceName, o.ResourceFilter)
	}
	return strings.Replace(tmpl, "$1", containerSelector, -1)
}

Z
zryfish 已提交
395
func makePVCMetricExpr(tmpl string, o monitoring.QueryOptions) string {
G
Guangzhe Huang 已提交
396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416
	var pvcSelector string

	// For monitoring persistentvolumeclaims in the specific namespace
	// GET /namespaces/{namespace}/persistentvolumeclaims/{persistentvolumeclaim} or
	// GET /namespaces/{namespace}/persistentvolumeclaims
	if o.NamespaceName != "" {
		if o.PersistentVolumeClaimName != "" {
			pvcSelector = fmt.Sprintf(`namespace="%s", persistentvolumeclaim="%s"`, o.NamespaceName, o.PersistentVolumeClaimName)
		} else {
			pvcSelector = fmt.Sprintf(`namespace="%s", persistentvolumeclaim=~"%s"`, o.NamespaceName, o.ResourceFilter)
		}
		return strings.Replace(tmpl, "$1", pvcSelector, -1)
	}

	// For monitoring persistentvolumeclaims of the specific storageclass
	// GET /storageclasses/{storageclass}/persistentvolumeclaims
	if o.StorageClassName != "" {
		pvcSelector = fmt.Sprintf(`storageclass="%s", persistentvolumeclaim=~"%s"`, o.StorageClassName, o.ResourceFilter)
	}
	return strings.Replace(tmpl, "$1", pvcSelector, -1)
}