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5.4. Troubleshooting Operator issues

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Operators are a method of packaging, deploying, and managing an OpenShift Container Platform application. They act like an extension of the software vendor’s engineering team, watching over an OpenShift Container Platform environment and using its current state to make decisions in real time. Operators are designed to handle upgrades seamlessly, react to failures automatically, and not take shortcuts, such as skipping a software backup process to save time.

OpenShift Container Platform 4.5 includes a default set of Operators that are required for proper functioning of the cluster. These default Operators are managed by the Cluster Version Operator (CVO).

As a cluster administrator, you can install application Operators from the OperatorHub using the OpenShift Container Platform web console or the CLI. You can then subscribe the Operator to one or more namespaces to make it available for developers on your cluster. Application Operators are managed by Operator Lifecycle Manager (OLM).

If you experience Operator issues, verify Operator subscription status. Check Operator pod health across the cluster and gather Operator logs for diagnosis.

5.4.1. Operator subscription condition types

Subscriptions can report the following condition types:

表 5.1. Subscription condition types
ConditionDescription

CatalogSourcesUnhealthy

Some or all of the catalog sources to be used in resolution are unhealthy.

InstallPlanMissing

An install plan for a subscription is missing.

InstallPlanPending

An install plan for a subscription is pending installation.

InstallPlanFailed

An install plan for a subscription has failed.

注意

Default OpenShift Container Platform cluster Operators are managed by the Cluster Version Operator (CVO) and they do not have a Subscription object. Application Operators are managed by Operator Lifecycle Manager (OLM) and they have a Subscription object.

5.4.2. Viewing Operator subscription status using the CLI

You can view Operator subscription status using the CLI.

Prerequisites

  • You have access to the cluster as a user with the cluster-admin role.
  • You have installed the OpenShift CLI (oc).

Procedure

  1. List Operator subscriptions:

    $ oc get subs -n <operator_namespace>
  2. Use the oc describe command to inspect a Subscription resource:

    $ oc describe sub <subscription_name> -n <operator_namespace>
  3. In the command output, find the Conditions section for the status of Operator subscription condition types. In the following example, the CatalogSourcesUnhealthy condition type has a status of false because all available catalog sources are healthy:

    Example output

    Conditions:
       Last Transition Time:  2019-07-29T13:42:57Z
       Message:               all available catalogsources are healthy
       Reason:                AllCatalogSourcesHealthy
       Status:                False
       Type:                  CatalogSourcesUnhealthy

注意

Default OpenShift Container Platform cluster Operators are managed by the Cluster Version Operator (CVO) and they do not have a Subscription object. Application Operators are managed by Operator Lifecycle Manager (OLM) and they have a Subscription object.

5.4.3. Querying Operator pod status

You can list Operator pods within a cluster and their status. You can also collect a detailed Operator pod summary.

Prerequisites

  • You have access to the cluster as a user with the cluster-admin role.
  • Your API service is still functional.
  • You have installed the OpenShift CLI (oc).

Procedure

  1. List Operators running in the cluster. The output includes Operator version, availability, and up-time information:

    $ oc get clusteroperators
  2. List Operator pods running in the Operator’s namespace, plus pod status, restarts, and age:

    $ oc get pod -n <operator_namespace>
  3. Output a detailed Operator pod summary:

    $ oc describe pod <operator_pod_name> -n <operator_namespace>
  4. If an Operator issue is node-specific, query Operator container status on that node.

    1. Start a debug pod for the node:

      $ oc debug node/my-node
    2. Set /host as the root directory within the debug shell. The debug pod mounts the host’s root file system in /host within the pod. By changing the root directory to /host, you can run binaries contained in the host’s executable paths:

      # chroot /host
      注意

      OpenShift Container Platform 4.5 cluster nodes running Red Hat Enterprise Linux CoreOS (RHCOS) are immutable and rely on Operators to apply cluster changes. Accessing cluster nodes using SSH is not recommended and nodes will be tainted as accessed. However, if the OpenShift Container Platform API is not available, or the kubelet is not properly functioning on the target node, oc operations will be impacted. In such situations, it is possible to access nodes using ssh core@<node>.<cluster_name>.<base_domain> instead.

    3. List details about the node’s containers, including state and associated pod IDs:

      # crictl ps
    4. List information about a specific Operator container on the node. The following example lists information about the network-operator container:

      # crictl ps --name network-operator
    5. Exit from the debug shell.

5.4.4. Gathering Operator logs

If you experience Operator issues, you can gather detailed diagnostic information from Operator pod logs.

Prerequisites

  • You have access to the cluster as a user with the cluster-admin role.
  • Your API service is still functional.
  • You have installed the OpenShift CLI (oc).
  • You have the fully qualified domain names of the control plane, or master machines.

Procedure

  1. List the Operator pods that are running in the Operator’s namespace, plus the pod status, restarts, and age:

    $ oc get pods -n <operator_namespace>
  2. Review logs for an Operator pod:

    $ oc logs pod/<pod_name> -n <operator_namespace>

    If an Operator pod has multiple containers, the preceding command will produce an error that includes the name of each container. Query logs from an individual container:

    $ oc logs pod/<operator_pod_name> -c <container_name> -n <operator_namespace>
  3. If the API is not functional, review Operator pod and container logs on each master node by using SSH instead. Replace <master-node>.<cluster_name>.<base_domain> with appropriate values.

    1. List pods on each master node:

      $ ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl pods
    2. For any Operator pods not showing a Ready status, inspect the pod’s status in detail. Replace <operator_pod_id> with the Operator pod’s ID listed in the output of the preceding command:

      $ ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl inspectp <operator_pod_id>
    3. List containers related to an Operator pod:

      $ ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl ps --pod=<operator_pod_id>
    4. For any Operator container not showing a Ready status, inspect the container’s status in detail. Replace <container_id> with a container ID listed in the output of the preceding command:

      $ ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl inspect <container_id>
    5. Review the logs for any Operator containers not showing a Ready status. Replace <container_id> with a container ID listed in the output of the preceding command:

      $ ssh core@<master-node>.<cluster_name>.<base_domain> sudo crictl logs -f <container_id>
      注意

      OpenShift Container Platform 4.5 cluster nodes running Red Hat Enterprise Linux CoreOS (RHCOS) are immutable and rely on Operators to apply cluster changes. Accessing cluster nodes using SSH is not recommended and nodes will be tainted as accessed. Before attempting to collect diagnostic data over SSH, review whether the data collected by running oc adm must gather and other oc commands is sufficient instead. However, if the OpenShift Container Platform API is not available, or the kubelet is not properly functioning on the target node, oc operations will be impacted. In such situations, it is possible to access nodes using ssh core@<node>.<cluster_name>.<base_domain>.

5.4.5. Disabling the Machine Config Operator from automatically rebooting

When configuration changes are made by the Machine Config Operator, Red Hat Enterprise Linux CoreOS (RHCOS) must reboot for the changes to take effect. Whether the configuration change is automatic, such as when a kube-apiserver-to-kubelet-signer CA is rotated, or manual, such as when a registry or SSH key is updated, an RHCOS node reboots automatically unless it is paused.

To avoid unwanted disruptions, you can modify the machine config pool (MCP) to prevent automatic rebooting after the Operator makes changes to the machine config.

注意

Pausing a machine config pool stops all system reboot processes and all configuration changes from being applied.

5.4.5.1. Disabling the Machine Config Operator from automatically rebooting by using the console

To avoid unwanted disruptions from changes made by the Machine Config Operator (MCO), you can use the OpenShift Container Platform web console to modify the machine config pool (MCP) to prevent the MCO from making any changes to nodes in that pool. This prevents any reboots that would normally be part of the MCO update process.

注意

Pausing an MCP stops all updates to your RHCOS nodes, including updates to the operating system, security, certificate, and any other updates related to the machine config. Pausing should be done for short periods of time only.

Prerequisites

  • You have access to the cluster as a user with the cluster-admin role.

Procedure

To pause or unpause automatic MCO update rebooting:

  • Pause the autoreboot process:

    1. Log in to the OpenShift Container Platform web console as a user with the cluster-admin role.
    2. Click Compute Machine Config Pools.
    3. On the Machine Config Pools page, click either master or worker, depending upon which nodes you want to pause rebooting for.
    4. On the master or worker page, click YAML.
    5. In the YAML, update the spec.paused field to true.

      Sample MachineConfigPool object

      apiVersion: machineconfiguration.openshift.io/v1
      kind: MachineConfigPool
       ...
      spec:
       ...
        paused: true 1

      1
      Update the spec.paused field to true to pause rebooting.
    6. To verify that the MCP is paused, return to the Machine Config Pools page.

      On the Machine Config Pools page, the Paused column reports True for the MCP you modified.

      If the MCP has pending changes while paused, the Updated column is False and Updating is False. When Updated is True and Updating is False, there are no pending changes.

      重要

      If there are pending changes (where both the Updated and Updating columns are False), it is recommended to schedule a maintenance window for a reboot as early as possible. Use the following steps for unpausing the autoreboot process to apply the changes that were queued since the last reboot.

  • Unpause the autoreboot process:

    1. Log in to the OpenShift Container Platform web console as a user with the cluster-admin role.
    2. Click Compute Machine Config Pools.
    3. On the Machine Config Pools page, click either master or worker, depending upon which nodes you want to pause rebooting for.
    4. On the master or worker page, click YAML.
    5. In the YAML, update the spec.paused field to false.

      Sample MachineConfigPool object

      apiVersion: machineconfiguration.openshift.io/v1
      kind: MachineConfigPool
       ...
      spec:
       ...
        paused: false 1

      1
      Update the spec.paused field to false to allow rebooting.
      注意

      By unpausing an MCP, the MCO applies all paused changes reboots Red Hat Enterprise Linux CoreOS (RHCOS) as needed.

    6. To verify that the MCP is paused, return to the Machine Config Pools page.

      On the Machine Config Pools page, the Paused column reports False for the MCP you modified.

      If the MCP is applying any pending changes, the Updated column is False and the Updating column is True. When Updated is True and Updating is False, there are no further changes being made.

5.4.5.2. Disabling the Machine Config Operator from automatically rebooting by using the CLI

To avoid unwanted disruptions from changes made by the Machine Config Operator (MCO), you can modify the machine config pool (MCP) using the OpenShift CLI (oc) to prevent the MCO from making any changes to nodes in that pool. This prevents any reboots that would normally be part of the MCO update process.

注意

Pausing an MCP stops all updates to your RHCOS nodes, including updates to the operating system, security, certificate, as well as any other updates related to the machine config. Pausing should be done for short periods of time only.

Prerequisites

  • You have access to the cluster as a user with the cluster-admin role.
  • You have installed the OpenShift CLI (oc).

Procedure

To pause or unpause automatic MCO update rebooting:

  • Pause the autoreboot process:

    1. Update the MachineConfigPool custom resource to set the spec.paused field to true.

      Control plane (master) nodes

      $ oc patch --type=merge --patch='{"spec":{"paused":true}}' machineconfigpool/master

      Worker nodes

      $ oc patch --type=merge --patch='{"spec":{"paused":true}}' machineconfigpool/worker

    2. Verify that the MCP is paused:

      Control plane (master) nodes

      $ oc get machineconfigpool/master --template='{{.spec.paused}}'

      Worker nodes

      $ oc get machineconfigpool/worker --template='{{.spec.paused}}'

      Example output

      true

      The spec.paused field is true and the MCP is paused.

    3. Determine if the MCP has pending changes:

      # oc get machineconfigpool

      Example output

      NAME     CONFIG                                             UPDATED   UPDATING
      master   rendered-master-33cf0a1254318755d7b48002c597bf91   True      False
      worker   rendered-worker-e405a5bdb0db1295acea08bcca33fa60   False     False

      If the UPDATED column is False and UPDATING is False, there are pending changes. When UPDATED is True and UPDATING is False, there are no pending changes. In the previous example, the worker node has pending changes. The master node does not have any pending changes.

      重要

      If there are pending changes (where both the Updated and Updating columns are False), it is recommended to schedule a maintenance window for a reboot as early as possible. Use the following steps for unpausing the autoreboot process to apply the changes that were queued since the last reboot.

  • Unpause the autoreboot process:

    1. Update the MachineConfigPool custom resource to set the spec.paused field to false.

      Control plane (master) nodes

      $ oc patch --type=merge --patch='{"spec":{"paused":false}}' machineconfigpool/master

      Worker nodes

      $ oc patch --type=merge --patch='{"spec":{"paused":false}}' machineconfigpool/worker

      注意

      By unpausing an MCP, the MCO applies all paused changes and reboots Red Hat Enterprise Linux CoreOS (RHCOS) as needed.

    2. Verify that the MCP is unpaused:

      Control plane (master) nodes

      $ oc get machineconfigpool/master --template='{{.spec.paused}}'

      Worker nodes

      $ oc get machineconfigpool/worker --template='{{.spec.paused}}'

      Example output

      false

      The spec.paused field is false and the MCP is unpaused.

    3. Determine if the MCP has pending changes:

      $ oc get machineconfigpool

      Example output

      NAME     CONFIG                                   UPDATED  UPDATING
      master   rendered-master-546383f80705bd5aeaba93   True     False
      worker   rendered-worker-b4c51bb33ccaae6fc4a6a5   False    True

      If the MCP is applying any pending changes, the UPDATED column is False and the UPDATING column is True. When UPDATED is True and UPDATING is False, there are no further changes being made. In the previous example, the MCO is updating the worker node.

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