# blade create k8s container-cpu

## 介绍

kubernetes 下 容器内 CPU 负载实验场景，同基础资源的 CPU 场景

## 命令

支持 CPU 场景命令如下：

* `blade create k8s container-cpu load`，容器内 CPU 负载场景，同 \[blade create cpu load]\(blade create cpu load.md)

## 参数

除了上述基础场景各自所需的参数外，在 kubernetes 环境下，还支持的参数如下：

```
--container-ids string     容器ID，支持配置多个
--container-names string   容器名称，支持配置多个
--docker-endpoint string   Docker server 地址，默认为本地的 /var/run/docker.sock
--namespace string       Pod 所属的命名空间，只能填写一个值，必填项
--evict-count string     限制实验生效的数量
--evict-percent string   限制实验生效数量的百分比，不包含 %
--labels string          Pod 资源标签，多个标签之前是或的关系
--names string           Pod 资源名
--kubeconfig string      kubeconfig 文件全路径（仅限使用 blade 命令调用时使用）
--waiting-time string    实验结果等待时间，默认为 20s，参数值要包含单位，例如 10s，1m
```

## 案例

指定 default 命名空间下 Pod 名为 frontend-d89756ff7-pbnnc，容器id为 2ff814b246f86，做 CPU 负载 100% 实验举例。

**yaml 配置方式**

```yaml
apiVersion: chaosblade.io/v1alpha1
kind: ChaosBlade
metadata:
  name: increase-container-cpu-load-by-id
spec:
  experiments:
  - scope: container
    target: cpu
    action: fullload
    desc: "increase container cpu load by id"
    matchers:
    - name: container-ids
      value:
      - "2ff814b246f86"
    - name: cpu-percent
      value: ["100"]
      # pod names
    - name: names
      value: ["frontend-d89756ff7-pbnnc"]
```

例如配置好文件后，保存为 increase\_container\_cpu\_load\_by\_id.yaml，使用以下命令执行实验场景：

```
kubectl apply -f increase_container_cpu_load_by_id.yaml
```

可通过以下命令查看每个实验的执行状态：

```
kubectl get blade increase-container-cpu-load-by-id -o json
```

```json
{
   "apiVersion": "chaosblade.io/v1alpha1",
   "kind": "ChaosBlade",
   "metadata": {
       "finalizers": [
           "finalizer.chaosblade.io"
       ],
       "generation": 1,
       "name": "increase-container-cpu-load-by-id",
       "resourceVersion": "9432486",
       "selfLink": "/apis/chaosblade.io/v1alpha1/chaosblades/increase-container-cpu-load-by-id",
       "uid": "737ae2e8-ff79-11e9-a8e2-00163e08a39b"
   },
   "status": {
       "expStatuses": [
           {
               "action": "fullload",
               "resStatuses": [
                   {
                       "id": "2bcb4178003f46fe",
                       "kind": "container",
                       "name": "php-redis",
                       "nodeName": "cn-hangzhou.192.168.0.204",
                       "state": "Success",
                       "success": true,
                       "uid": "2ff814b246f86aba2392379640e4c6b16efbfd61846fc419a24f8d8ccf0f86f0"
                   }
               ],
               "scope": "container",
               "state": "Success",
               "success": true,
               "target": "cpu"
           }
       ],
       "phase": "Running"
   }
}
```

通过资源监控，可以看到此 Pod 下 CPU 使用情况 ![monitor](https://user-images.githubusercontent.com/3992234/68177462-5cac1d80-ffc3-11e9-8c8f-4854f3eb4315.png)

使用以下命令停止实验：

```
kubectl delete -f examples/increase_container_cpu_load_by_id.yaml 
```

**blade 命令执行方式**

```shell
blade create k8s container-cpu fullload --cpu-percent 100 --container-ids 2ff814b246f86 --names frontend-d89756ff7-pbnnc --namespace default --kubeconfig config 
```

如果执行失败，会返回详细的错误信息；如果执行成功，会返回实验的 UID：

```
{"code":200,"success":true,"result":"092e8b4d88d4f449"}
```

可通过以下命令查询实验状态：

```
blade query k8s create 092e8b4d88d4f449 --kubeconfig config

{"code":200,"success":true,"result":{"uid":"092e8b4d88d4f449","success":true,"error":"","statuses":[{"id":"eab5fb70b61c9c45","uid":"2ff814b246f86aba2392379640e4c6b16efbfd61846fc419a24f8d8ccf0f86f0","name":"php-redis","state":"Success","kind":"container","success":true,"nodeName":"cn-hangzhou.192.168.0.204"}]}}
```

销毁实验：

```
blade destroy 092e8b4d88d4f449
```

## 常见问题

其他问题参考 \[blade create k8s]\(blade create k8s.md) 常见问题


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