Kubernetes 由于错误的资源过度提交消息k8s,pods无法在节点上计划

Kubernetes 由于错误的资源过度提交消息k8s,pods无法在节点上计划,kubernetes,Kubernetes,pod卡在等待中:虽然节点有可用资源,但正在Kubernetes中初始化状态 Labels: beta.kubernetes.io/arch=amd64 beta.kubernetes.io/os=linux kubernetes.io/hostname=**** node-role.kubernetes.io/worker=true Annot

pod卡在等待中:虽然节点有可用资源,但正在Kubernetes中初始化状态

Labels:             beta.kubernetes.io/arch=amd64

                    beta.kubernetes.io/os=linux

                    kubernetes.io/hostname=****

                    node-role.kubernetes.io/worker=true

Annotations:        node.alpha.kubernetes.io/ttl=0

                    volumes.kubernetes.io/controller-managed-attach-detach=true

Taints:             <none>

CreationTimestamp:  Tue, 31 Jul 2018 09:59:24 -0400

Conditions:

  Type             Status  LastHeartbeatTime                 LastTransitionTime                Reason                       Message

  ----             ------  -----------------                 ------------------                ------                       -------

  OutOfDisk        False   Tue, 14 Aug 2018 09:31:20 -0400   Tue, 31 Jul 2018 09:59:24 -0400   KubeletHasSufficientDisk     kubelet has sufficient disk space available

  MemoryPressure   False   Tue, 14 Aug 2018 09:31:20 -0400   Tue, 31 Jul 2018 09:59:24 -0400   KubeletHasSufficientMemory   kubelet has sufficient memory available

  DiskPressure     False   Tue, 14 Aug 2018 09:31:20 -0400   Tue, 31 Jul 2018 09:59:24 -0400   KubeletHasNoDiskPressure     kubelet has no disk pressure

  Ready            True    Tue, 14 Aug 2018 09:31:20 -0400   Sat, 11 Aug 2018 00:41:27 -0400   KubeletReady                 kubelet is posting ready status. AppArmor enabled

Addresses:

  InternalIP:  *****

  Hostname:    ******

Capacity:

 cpu:     16

 memory:  125827288Ki

 pods:    110

Allocatable:

 cpu:     16

 memory:  125724888Ki

 pods:    110

System Info:

 Machine ID:                 *************

 System UUID:                **************

 Boot ID:                    1493028d-0a80-4f2f-b0f1-48d9b8910e9f

 Kernel Version:             4.4.0-1062-aws

 OS Image:                   Ubuntu 16.04.4 LTS

 Operating System:           linux

 Architecture:               amd64

 Container Runtime Version:  docker://Unknown

 Kubelet Version:            v1.8.3

 Kube-Proxy Version:         v1.8.3

PodCIDR:                     ******

ExternalID:                  **************

Non-terminated Pods:         (11 in total)

  Namespace                  Name                                                            CPU Requests  CPU Limits  Memory Requests  Memory Limits

  ---------                  ----                                                            ------------  ----------  ---------------  -------------

  kube-system                calico-node-gj5mb                                               250m (1%)     0 (0%)      0 (0%)           0 (0%)

  kube-system                kube-proxy-****************************************             100m (0%)     0 (0%)      0 (0%)           0 (0%)

  kube-system                prometheus-prometheus-node-exporter-9cntq                       100m (0%)     200m (1%)   30Mi (0%)        50Mi (0%)

  logging                    elasticsearch-elasticsearch-data-69df997486-gqcwg               400m (2%)     1 (6%)      8Gi (6%)         16Gi (13%)

  logging                    fluentd-fluentd-elasticsearch-tj7nd                             200m (1%)     0 (0%)      612Mi (0%)       0 (0%)

  rook                       rook-agent-6jtzm                                                0 (0%)        0 (0%)      0 (0%)           0 (0%)

  rook                       rook-ceph-osd-10-6-42-250.accel.aws-cardda.cb4good.com-gwb8j    0 (0%)        0 (0%)      0 (0%)           0 (0%)

  spark                      accelerate-test-5-a3bfb8a597e83d459193a183e17f13b5-exec-1       2 (12%)       0 (0%)      10Gi (8%)        12Gi (10%)

  spark                      accelerate-testing-1-8ed0482f3bfb3c0a83da30bb7d433dff-exec-5    2 (12%)       0 (0%)      10Gi (8%)        12Gi (10%)

  spark                      accelerate-testing-2-8cecc18bb42f31a386c6304bd63e9eba-driver    1 (6%)        0 (0%)      2Gi (1%)         2432Mi (1%)

  spark                      accelerate-testing-2-e8bd0607cc693bc8ae25cc6dc300b2c7-driver    1 (6%)        0 (0%)      2Gi (1%)         2432Mi (1%)

Allocated resources:

  (Total limits may be over 100 percent, i.e., overcommitted.)

  CPU Requests  CPU Limits  Memory Requests  Memory Limits

  ------------  ----------  ---------------  -------------

  7050m (44%)   1200m (7%)  33410Mi (27%)    45874Mi (37%)


Events:         <none>
标签:beta.kubernetes.io/arch=amd64 beta.kubernetes.io/os=linux kubernetes.io/hostname=**** 节点角色.kubernetes.io/worker=true 注释:node.alpha.kubernetes.io/ttl=0 volumes.kubernetes.io/controller managed attach detach=true 污点: CreationTimestamp:2018年7月31日星期二09:59:24-0400 条件: 键入状态LastHeartbeatTime LastTransitionTime原因消息 ---- ------ ----------------- ------------------ ------ ------- OutOfDisk False Tue,2018年8月14日09:31:20-0400 Tue,2018年7月31日09:59:24-0400 KubeletHasSufficientDisk kubelet有足够的可用磁盘空间 MemoryPressure False Tue,2018年8月14日09:31:20-0400 Tue,2018年7月31日09:59:24-0400 KubelethSufficientMemory kubelet有足够的可用内存 DiskPressure False Tue,2018年8月14日09:31:20-0400 Tue,2018年7月31日09:59:24-0400 KubelethasNodeDiskPressure kubelet无圆盘压力 Ready True Tue,2018年8月14日09:31:20-0400 Sat,2018年8月11日00:41:27-0400 KubeletReady kubelet发布就绪状态。AppArmor已启用 地址: 内部IP:***** 主机名:****** 容量: 中央处理器:16 内存:125827288Ki 豆荚:110 可分配: 中央处理器:16 内存:125724888Ki 豆荚:110 系统信息: 机器ID:************* 系统UUID:************** 行李箱ID:1493028d-0a80-4f2f-b0f1-48d9b8910e9f 内核版本:4.4.0-1062-aws 操作系统映像:Ubuntu 16.04.4 LTS 操作系统:linux 架构:amd64 容器运行时版本:docker://Unknown Kubelet版本:v1.8.3 Kube代理版本:v1.8.3 PodCIDR:****** 外部性:************** 非端接吊舱:(共11个) 命名空间名称CPU请求CPU限制内存请求内存限制 --------- ---- ------------ ---------- --------------- ------------- kube系统印花布节点-gj5mb 250m(1%)0(0%)0(0%)0(0%) kube系统kube代理-******************************************100m(0%)0(0%)0(0%)0(0%)0(0%) kube系统prometheus-prometheus-node-exporter-9cntq 100m(0%)200m(1%)30Mi(0%)50Mi(0%) 记录elasticsearch-elasticsearch-data-69df997486-gqcwg 400m(2%)1(6%)8Gi(6%)16Gi(13%) 测井流体D-fluentd-elasticsearch-tj7nd 200m(1%)0(0%)612Mi(0%)0(0%) rook rook-agent-6jtzm 0(0%)0(0%)0(0%)0(0%)0(0%) rook rook-ceph-osd-10-6-42-250.accel.aws-cardda.cb4good.com-gwb8j 0(0%)0(0%)0(0%)0(0%)0(0%) 火花加速试验-5-a3bfb8a597e83d459193a183e17f13b5-exec-12(12%)0(0%)10Gi(8%)12Gi(10%) 火花加速测试-1-8ed0482f3bfb3c0a83da30bb7d433dff-exec-5 2(12%)0(0%)10Gi(8%)12Gi(10%) 火花加速-测试-2-8CECC18BB42F31A86C6304BD63E9EBA-驱动器1(6%)0(0%)2Gi(1%)2432Mi(1%) 火花加速测试-2-e8bd0607cc693bc8ae25cc6dc300b2c7-驱动器1(6%)0(0%)2Gi(1%)2432Mi(1%) 分配的资源: (总限额可能超过100%,即超额承诺。) CPU请求CPU限制内存请求内存限制 ------------ ---------- --------------- ------------- 7050m(44%)1200m(7%)33410Mi(27%)45874Mi(37%) 活动:
请提供更多详细信息,例如
.yaml
files@Coru我没有为spark和executor pods创建podspec,Kubernetes本机支持spark 2.3,我只是在k8s master上执行了spark提交命令。提供更多详细信息、确切步骤/命令以及图像。没有足够的细节来了解问题的确切位置。