Orchestrate CockroachDB in a Single Kubernetes Cluster (Insecure)

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This page shows you how to orchestrate the deployment, management, and monitoring of an insecure 3-node CockroachDB cluster in a single Kubernetes cluster, using the StatefulSet feature directly or via the Helm Kubernetes package manager.

To deploy across multiple Kubernetes clusters in different geographic regions instead, see Kubernetes Multi-Cluster Deployment. Also, for details about potential performance bottlenecks to be aware of when running CockroachDB in Kubernetes and guidance on how to optimize your deployment for better performance, see CockroachDB Performance on Kubernetes.

Before you begin

Before getting started, it's helpful to review some Kubernetes-specific terminology and current limitations.

• Kubernetes terminology
• Limitations

Kubernetes terminology

Limitations

Kubernetes version

Kubernetes 1.18 or higher is required in order to use our most up-to-date configuration files. Earlier Kubernetes releases do not support some of the options used in our configuration files. If you need to run on an older version of Kubernetes, we have kept around configuration files that work on older Kubernetes releases in the versioned subdirectories of https://github.com/cockroachdb/cockroach/tree/master/cloud/kubernetes (e.g., v1.7).

Storage

At this time, orchestrations of CockroachDB with Kubernetes use external persistent volumes that are often replicated by the provider. Because CockroachDB already replicates data automatically, this additional layer of replication is unnecessary and can negatively impact performance. High-performance use cases on a private Kubernetes cluster may want to consider using local volumes.

Step 1. Start Kubernetes

Choose whether you want to orchestrate CockroachDB with Kubernetes using the hosted Google Kubernetes Engine (GKE) service, the hosted Amazon Elastic Kubernetes Service (EKS), or manually on Google Compute Engine (GCE) or AWS. The instructions below will change slightly depending on your choice.

• Hosted GKE
• Hosted EKS
• Manual GCE
• Manual AWS

Hosted GKE

1. Complete the Before You Begin steps described in the Google Kubernetes Engine Quickstart documentation.

   This includes installing gcloud, which is used to create and delete Kubernetes Engine clusters, and kubectl, which is the command-line tool used to manage Kubernetes from your workstation.

   Tip:

   The documentation offers the choice of using Google's Cloud Shell product or using a local shell on your machine. Choose to use a local shell if you want to be able to view the CockroachDB Admin UI using the steps in this guide.

2. From your local workstation, start the Kubernetes cluster:

   $ gcloud container clusters create cockroachdb --machine-type n1-standard-4
   

   Creating cluster cockroachdb...done.
   

   This creates GKE instances and joins them into a single Kubernetes cluster named cockroachdb. The --machine-type flag tells the node pool to use the n1-standard-4 machine type (4 vCPUs, 15 GB memory), which meets our recommended CPU and memory configuration.

   The process can take a few minutes, so do not move on to the next step until you see a Creating cluster cockroachdb...done message and details about your cluster.

3. Get the email address associated with your Google Cloud account:

   $ gcloud info | grep Account
   

   Account: [your.google.cloud.email@example.org]
   

   Warning:

   This command returns your email address in all lowercase. However, in the next step, you must enter the address using the accurate capitalization. For example, if your address is YourName@example.com, you must use YourName@example.com and not yourname@example.com.

4. Create the RBAC roles CockroachDB needs for running on GKE, using the address from the previous step:

   $ kubectl create clusterrolebinding $USER-cluster-admin-binding \
   --clusterrole=cluster-admin \
   --user=<your.google.cloud.email@example.org>
   

   clusterrolebinding.rbac.authorization.k8s.io/your.username-cluster-admin-binding created
   

Hosted EKS

1. Complete the steps described in the EKS Getting Started documentation.

   This includes installing and configuring the AWS CLI and eksctl, which is the command-line tool used to create and delete Kubernetes clusters on EKS, and kubectl, which is the command-line tool used to manage Kubernetes from your workstation.

2. From your local workstation, start the Kubernetes cluster:

   $ eksctl create cluster \
   --name cockroachdb \
   --nodegroup-name standard-workers \
   --node-type m5.xlarge \
   --nodes 3 \
   --nodes-min 1 \
   --nodes-max 4 \
   --node-ami auto
   

   This creates EKS instances and joins them into a single Kubernetes cluster named cockroachdb. The --node-type flag tells the node pool to use the m5.xlarge instance type (4 vCPUs, 16 GB memory), which meets our recommended CPU and memory configuration.

   Cluster provisioning usually takes between 10 and 15 minutes. Do not move on to the next step until you see a message like [✔] EKS cluster "cockroachdb" in "us-east-1" region is ready and details about your cluster.

3. Open the AWS CloudFormation console to verify that the stacks eksctl-cockroachdb-cluster and eksctl-cockroachdb-nodegroup-standard-workers were successfully created. Be sure that your region is selected in the console.

Manual GCE

From your local workstation, install prerequisites and start a Kubernetes cluster as described in the Running Kubernetes on Google Compute Engine documentation.

The process includes:

• Creating a Google Cloud Platform account, installing gcloud, and other prerequisites.
• Downloading and installing the latest Kubernetes release.
• Creating GCE instances and joining them into a single Kubernetes cluster.
• Installing kubectl, the command-line tool used to manage Kubernetes from your workstation.

Manual AWS

From your local workstation, install prerequisites and start a Kubernetes cluster as described in the Running Kubernetes on AWS EC2 documentation.

Step 2. Start CockroachDB

To start your CockroachDB cluster, you can either use our StatefulSet configuration and related files directly, or you can use the Helm package manager for Kubernetes to simplify the process.

Step 3. Use the built-in SQL client

1. Launch a temporary interactive pod and start the built-in SQL client inside it:

   $ kubectl run cockroachdb -it \
   --image=cockroachdb/cockroach:v19.1.11 \
   --rm \
   --restart=Never \
   -- sql \
   --insecure \
   --host=cockroachdb-public
   

   $ kubectl run cockroachdb -it \
   --image=cockroachdb/cockroach:v19.1.11 \
   --rm \
   --restart=Never \
   -- sql \
   --insecure \
   --host=my-release-cockroachdb-public
   

2. Run some basic CockroachDB SQL statements:

   > CREATE DATABASE bank;
   

   > CREATE TABLE bank.accounts (
       id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
         balance DECIMAL
     );
   

   > INSERT INTO bank.accounts (balance)
     VALUES
         (1000.50), (20000), (380), (500), (55000);
   

   > SELECT * FROM bank.accounts;
   

                      id                  | balance
   +--------------------------------------+---------+
     6f123370-c48c-41ff-b384-2c185590af2b |     380
     990c9148-1ea0-4861-9da7-fd0e65b0a7da | 1000.50
     ac31c671-40bf-4a7b-8bee-452cff8a4026 |     500
     d58afd93-5be9-42ba-b2e2-dc00dcedf409 |   20000
     e6d8f696-87f5-4d3c-a377-8e152fdc27f7 |   55000
   (5 rows)
   

3. Exit the SQL shell and delete the temporary pod:

   > \q
   

Step 4. Access the Admin UI

To access the cluster's Admin UI:

1. In a new terminal window, port-forward from your local machine to one of the pods:

   $ kubectl port-forward cockroachdb-0 8080
   

   $ kubectl port-forward my-release-cockroachdb-0 8080
   

   Forwarding from 127.0.0.1:8080 -> 8080
   

   Note:

   The port-forward command must be run on the same machine as the web browser in which you want to view the Admin UI. If you have been running these commands from a cloud instance or other non-local shell, you will not be able to view the UI without configuring kubectl locally and running the above port-forward command on your local machine.

2. Go to http://localhost:8080.

3. In the UI, verify that the cluster is running as expected:

   • Click View nodes list on the right to ensure that all nodes successfully joined the cluster.
   • Click the Databases tab on the left to verify that bank is listed.

Step 5. Simulate node failure

Based on the replicas: 3 line in the StatefulSet configuration, Kubernetes ensures that three pods/nodes are running at all times. When a pod/node fails, Kubernetes automatically creates another pod/node with the same network identity and persistent storage.

To see this in action:

1. Terminate one of the CockroachDB nodes:

   $ kubectl delete pod cockroachdb-2
   

   pod "cockroachdb-2" deleted
   

   $ kubectl delete pod my-release-cockroachdb-2
   

   pod "my-release-cockroachdb-2" deleted
   

2. In the Admin UI, the Cluster Overview will soon show one node as Suspect. As Kubernetes auto-restarts the node, watch how the node once again becomes healthy.

3. Back in the terminal, verify that the pod was automatically restarted:

   $ kubectl get pod cockroachdb-2
   

   NAME            READY     STATUS    RESTARTS   AGE
   cockroachdb-2   1/1       Running   0          12s
   

   $ kubectl get pod my-release-cockroachdb-2
   

   NAME                       READY     STATUS    RESTARTS   AGE
   my-release-cockroachdb-2   1/1       Running   0          44s
   

Step 6. Monitor the cluster

Despite CockroachDB's various built-in safeguards against failure, it is critical to actively monitor the overall health and performance of a cluster running in production and to create alerting rules that promptly send notifications when there are events that require investigation or intervention.

Configure Prometheus

Every node of a CockroachDB cluster exports granular timeseries metrics formatted for easy integration with Prometheus, an open source tool for storing, aggregating, and querying timeseries data. This section shows you how to orchestrate Prometheus as part of your Kubernetes cluster and pull these metrics into Prometheus for external monitoring.

This guidance is based on CoreOS's Prometheus Operator, which allows a Prometheus instance to be managed using built-in Kubernetes concepts.

1. From your local workstation, edit the cockroachdb service to add the prometheus: cockroachdb label:

   $ kubectl label svc cockroachdb prometheus=cockroachdb
   

   service/cockroachdb labeled
   

   This ensures that there is a prometheus job and monitoring data only for the cockroachdb service, not for the cockroach-public service.

   $ kubectl label svc my-release-cockroachdb prometheus=cockroachdb
   

   service/my-release-cockroachdb labeled
   

   This ensures that there is a prometheus job and monitoring data only for the my-release-cockroachdb service, not for the my-release-cockroach-public service.

2. Install CoreOS's Prometheus Operator:

   $ kubectl apply \
   -f https://raw.githubusercontent.com/coreos/prometheus-operator/release-0.20/bundle.yaml
   

   clusterrolebinding.rbac.authorization.k8s.io/prometheus-operator created
   clusterrole.rbac.authorization.k8s.io/prometheus-operator created
   serviceaccount/prometheus-operator created
   deployment.apps/prometheus-operator created
   

3. Confirm that the prometheus-operator has started:

   $ kubectl get deploy prometheus-operator
   

   NAME                  READY   UP-TO-DATE   AVAILABLE   AGE
   prometheus-operator   1/1     1            1           27s
   

4. Use our prometheus.yaml file to create the various objects necessary to run a Prometheus instance:

   $ kubectl apply \
   -f https://raw.githubusercontent.com/cockroachdb/cockroach/master/cloud/kubernetes/prometheus/prometheus.yaml
   

   serviceaccount/prometheus created
   clusterrole.rbac.authorization.k8s.io/prometheus created
   clusterrolebinding.rbac.authorization.k8s.io/prometheus created
   servicemonitor.monitoring.coreos.com/cockroachdb created
   prometheus.monitoring.coreos.com/cockroachdb created
   

5. Access the Prometheus UI locally and verify that CockroachDB is feeding data into Prometheus:

   1. Port-forward from your local machine to the pod running Prometheus:

      $ kubectl port-forward prometheus-cockroachdb-0 9090
      

   2. Go to http://localhost:9090 in your browser.

   3. To verify that each CockroachDB node is connected to Prometheus, go to Status > Targets. The screen should look like this:

      

   4. To verify that data is being collected, go to Graph, enter the sys_uptime variable in the field, click Execute, and then click the Graph tab. The screen should like this:

      

   Tip:

   Prometheus auto-completes CockroachDB time series metrics for you, but if you want to see a full listing, with descriptions, port-forward as described in Access the Admin UI and then point your browser to http://localhost:8080/_status/vars.

   For more details on using the Prometheus UI, see their official documentation.

Configure Alertmanager

Active monitoring helps you spot problems early, but it is also essential to send notifications when there are events that require investigation or intervention. This section shows you how to use Alertmanager and CockroachDB's starter alerting rules to do this.

1. Download our alertmanager-config.yaml configuration file:

   $ curl -OOOOOOOOO \
   https://raw.githubusercontent.com/cockroachdb/cockroach/master/cloud/kubernetes/prometheus/alertmanager-config.yaml
   

2. Edit the alertmanager-config.yaml file to specify the desired receivers for notifications. Initially, the file contains a placeholder web hook.

3. Add this configuration to the Kubernetes cluster as a secret, renaming it to alertmanager.yaml and labelling it to make it easier to find:

   $ kubectl create secret generic alertmanager-cockroachdb \
   --from-file=alertmanager.yaml=alertmanager-config.yaml
   

   secret/alertmanager-cockroachdb created
   

   $ kubectl label secret alertmanager-cockroachdb app=cockroachdb
   

   secret/alertmanager-cockroachdb labeled
   

   Warning:

   The name of the secret, alertmanager-cockroachdb, must match the name used in the altermanager.yaml file. If they differ, the Alertmanager instance will start without configuration, and nothing will happen.

4. Use our alertmanager.yaml file to create the various objects necessary to run an Alertmanager instance, including a ClusterIP service so that Prometheus can forward alerts:

   $ kubectl apply \
   -f https://raw.githubusercontent.com/cockroachdb/cockroach/master/cloud/kubernetes/prometheus/alertmanager.yaml
   

   alertmanager.monitoring.coreos.com/cockroachdb created
   service/alertmanager-cockroachdb created
   

5. Verify that Alertmanager is running:

   1. Port-forward from your local machine to the pod running Alertmanager:

      $ kubectl port-forward alertmanager-cockroachdb-0 9093
      

   2. Go to http://localhost:9093 in your browser. The screen should look like this:

      

6. Ensure that the Alertmanagers are visible to Prometheus by opening http://localhost:9090/status. The screen should look like this:

   

7. Add CockroachDB's starter alerting rules:

   $ kubectl apply \
   -f https://raw.githubusercontent.com/cockroachdb/cockroach/master/cloud/kubernetes/prometheus/alert-rules.yaml
   

   prometheusrule.monitoring.coreos.com/prometheus-cockroachdb-rules created
   

8. Ensure that the rules are visible to Prometheus by opening http://localhost:9090/rules. The screen should look like this:

   

9. Verify that the TestAlertManager example alert is firing by opening http://localhost:9090/alerts. The screen should look like this:

   

10. To remove the example alert:

    1. Use the kubectl edit command to open the rules for editing:

       $ kubectl edit prometheusrules prometheus-cockroachdb-rules
       

    2. Remove the dummy.rules block and save the file:

       - name: rules/dummy.rules
         rules:
         - alert: TestAlertManager
           expr: vector(1)
       

Step 7. Maintain the cluster

• Add nodes
• Remove nodes
• Upgrade the cluster
• Stop the cluster

Add nodes

Your Kubernetes cluster includes 3 worker nodes, or instances, that can run pods. A CockroachDB node runs in each pod. As recommended in our production best practices, you should ensure that two pods are not placed on the same worker node.

To do this, add a new worker node and then edit your StatefulSet configuration to add another pod for the new CockroachDB node.

1. Add a worker node, bringing the total from 3 to 4:

   • On GKE, resize your cluster.
   • On EKS, resize your Worker Node Group.
   • On GCE, resize your Managed Instance Group.
   • On AWS, resize your Auto Scaling Group.

2. Add a pod for the new CockroachDB node:

   $ kubectl scale statefulset cockroachdb --replicas=4
   

   statefulset.apps/cockroachdb scaled
   

   $ helm upgrade \
   my-release \
   cockroachdb/cockroachdb \
   --set Replicas=4 \
   --reuse-values
   

   Release "my-release" has been upgraded. Happy Helming!
   LAST DEPLOYED: Tue May 14 14:06:43 2019
   NAMESPACE: default
   STATUS: DEPLOYED
   
   RESOURCES:
   ==> v1beta1/PodDisruptionBudget
   NAME                           AGE
   my-release-cockroachdb-budget  51m
   
   ==> v1/Pod(related)
   
   NAME                               READY  STATUS     RESTARTS  AGE
   my-release-cockroachdb-0           1/1    Running    0         38m
   my-release-cockroachdb-1           1/1    Running    0         39m
   my-release-cockroachdb-2           1/1    Running    0         39m
   my-release-cockroachdb-3           0/1    Pending    0         0s
   my-release-cockroachdb-init-nwjkh  0/1    Completed  0         39m
   
   ...
   

3. Verify that a fourth pod was added successfully:

   $ kubectl get pods
   

Remove nodes

To safely remove a node from your cluster, you must first decommission the node and only then adjust the Replicas value of your StatefulSet configuration to permanently remove it. This sequence is important because the decommissioning process lets a node finish in-flight requests, rejects any new requests, and transfers all range replicas and range leases off the node.

1. Launch a temporary interactive pod and use the cockroach node status command to get the internal IDs of nodes:

   $ kubectl run cockroachdb -it \
   --image=cockroachdb/cockroach:v19.1.11 \
   --rm \
   --restart=Never \
   -- node status \
   --insecure \
   --host=cockroachdb-public
   

     id |               address                                     | build  |            started_at            |            updated_at            | is_available | is_live
   +----+---------------------------------------------------------------------------------+--------+----------------------------------+----------------------------------+--------------+---------+
      1 | cockroachdb-0.cockroachdb.default.svc.cluster.local:26257 | v19.1.11 | 2018-11-29 16:04:36.486082+00:00 | 2018-11-29 18:24:24.587454+00:00 | true         | true
      2 | cockroachdb-2.cockroachdb.default.svc.cluster.local:26257 | v19.1.11 | 2018-11-29 16:55:03.880406+00:00 | 2018-11-29 18:24:23.469302+00:00 | true         | true
      3 | cockroachdb-1.cockroachdb.default.svc.cluster.local:26257 | v19.1.11 | 2018-11-29 16:04:41.383588+00:00 | 2018-11-29 18:24:25.030175+00:00 | true         | true
      4 | cockroachdb-3.cockroachdb.default.svc.cluster.local:26257 | v19.1.11 | 2018-11-29 17:31:19.990784+00:00 | 2018-11-29 18:24:26.041686+00:00 | true         | true
   (4 rows)
   

   $ kubectl run cockroachdb -it \
   --image=cockroachdb/cockroach:v19.1.11 \
   --rm \
   --restart=Never \
   -- node status \
   --insecure \
   --host=my-release-cockroachdb-public
   

     id |                                     address                                     | build  |            started_at            |            updated_at            | is_available | is_live
   +----+---------------------------------------------------------------------------------+--------+----------------------------------+----------------------------------+--------------+---------+
      1 | my-release-cockroachdb-0.my-release-cockroachdb.default.svc.cluster.local:26257 | v19.1.11 | 2018-11-29 16:04:36.486082+00:00 | 2018-11-29 18:24:24.587454+00:00 | true         | true
      2 | my-release-cockroachdb-2.my-release-cockroachdb.default.svc.cluster.local:26257 | v19.1.11 | 2018-11-29 16:55:03.880406+00:00 | 2018-11-29 18:24:23.469302+00:00 | true         | true
      3 | my-release-cockroachdb-1.my-release-cockroachdb.default.svc.cluster.local:26257 | v19.1.11 | 2018-11-29 16:04:41.383588+00:00 | 2018-11-29 18:24:25.030175+00:00 | true         | true
      4 | my-release-cockroachdb-3.my-release-cockroachdb.default.svc.cluster.local:26257 | v19.1.11 | 2018-11-29 17:31:19.990784+00:00 | 2018-11-29 18:24:26.041686+00:00 | true         | true
   (4 rows)
   

2. Note the ID of the node with the highest number in its address (in this case, the address including cockroachdb-3) and use the cockroach node decommission command to decommission it:

   Note:

   It's important to decommission the node with the highest number in its address because, when you reduce the replica count, Kubernetes will remove the pod for that node.

   $ kubectl run cockroachdb -it \
   --image=cockroachdb/cockroach:v19.1.11 \
   --rm \
   --restart=Never \
   -- node decommission <node ID> \
   --insecure \
   --host=cockroachdb-public
   

   $ kubectl run cockroachdb -it \
   --image=cockroachdb/cockroach:v19.1.11 \
   --rm \
   --restart=Never \
   -- node decommission <node ID> \
   --insecure \
   --host=my-release-cockroachdb-public
   

   You'll then see the decommissioning status print to stderr as it changes:

    id | is_live | replicas | is_decommissioning | is_draining  
   +---+---------+----------+--------------------+-------------+
     4 |  true   |       73 |        true        |    false     
   (1 row)
   

   Once the node has been fully decommissioned and stopped, you'll see a confirmation:

    id | is_live | replicas | is_decommissioning | is_draining  
   +---+---------+----------+--------------------+-------------+
     4 |  true   |        0 |        true        |    false     
   (1 row)
   
   No more data reported on target nodes. Please verify cluster health before removing the nodes.
   

3. Once the node has been decommissioned, remove a pod from your StatefulSet:

   $ kubectl scale statefulset cockroachdb --replicas=3
   

   statefulset "cockroachdb" scaled
   

   $ helm upgrade \
   my-release \
   cockroachdb/cockroachdb \
   --set Replicas=3 \
   --reuse-values
   

Upgrade the cluster

As new versions of CockroachDB are released, it's strongly recommended to upgrade to newer versions in order to pick up bug fixes, performance improvements, and new features. The general CockroachDB upgrade documentation provides best practices for how to prepare for and execute upgrades of CockroachDB clusters, but the mechanism of actually stopping and restarting processes in Kubernetes is somewhat special.

Kubernetes knows how to carry out a safe rolling upgrade process of the CockroachDB nodes. When you tell it to change the Docker image used in the CockroachDB StatefulSet, Kubernetes will go one-by-one, stopping a node, restarting it with the new image, and waiting for it to be ready to receive client requests before moving on to the next one. For more information, see the Kubernetes documentation.

1. Decide how the upgrade will be finalized.

   Note:

   This step is relevant only when upgrading from v2.1.x to v19.1. For upgrades within the v19.1.x series, skip this step.

   By default, after all nodes are running the new version, the upgrade process will be auto-finalized. This will enable certain performance improvements and bug fixes introduced in v19.1. After finalization, however, it will no longer be possible to perform a downgrade to v2.1. In the event of a catastrophic failure or corruption, the only option will be to start a new cluster using the old binary and then restore from one of the backups created prior to performing the upgrade.

   We recommend disabling auto-finalization so you can monitor the stability and performance of the upgraded cluster before finalizing the upgrade:

   1. Launch a temporary interactive pod and start the built-in SQL client inside it:

      $ kubectl run cockroachdb -it \
      --image=cockroachdb/cockroach \
      --rm \
      --restart=Never \
      -- sql \
      --insecure \
      --host=cockroachdb-public
      

      $ kubectl run cockroachdb -it \
      --image=cockroachdb/cockroach \
      --rm \
      --restart=Never \
      -- sql \
      --insecure \
      --host=my-release-cockroachdb-public
      

   2. Set the cluster.preserve_downgrade_option cluster setting:

      > SET CLUSTER SETTING cluster.preserve_downgrade_option = '2.1';
      

   3. Exit the SQL shell and delete the temporary pod:

      > \q
      

2. Kick off the upgrade process by changing the desired Docker image:

   $ kubectl patch statefulset cockroachdb \
   --type='json' \
   -p='[{"op": "replace", "path": "/spec/template/spec/containers/0/image", "value":"cockroachdb/cockroach:v19.1.0"}]'
   

   statefulset.apps/cockroachdb patched
   

   Note:

   For Helm, you must remove the cluster initialization job from when the cluster was created before the cluster version can be changed.

   $ kubectl delete job my-release-cockroachdb-init
   

   $ helm upgrade \
   my-release \
   cockroachdb/cockroachdb \
   --set ImageTag=v19.1.0 \
   --reuse-values
   

3. If you then check the status of your cluster's pods, you should see them being restarted:

   $ kubectl get pods
   

   NAME            READY     STATUS        RESTARTS   AGE
   cockroachdb-0   1/1       Running       0          2m
   cockroachdb-1   1/1       Running       0          2m
   cockroachdb-2   1/1       Running       0          2m
   cockroachdb-3   0/1       Terminating   0          1m
   ...
   

   NAME                                READY     STATUS              RESTARTS   AGE
   my-release-cockroachdb-0            1/1       Running             0          2m
   my-release-cockroachdb-1            1/1       Running             0          3m
   my-release-cockroachdb-2            1/1       Running             0          3m
   my-release-cockroachdb-3            0/1       ContainerCreating   0          25s
   my-release-cockroachdb-init-nwjkh   0/1       ContainerCreating   0          6s
   ...
   

   Note:

   Ignore the pod for cluster initialization. It is re-created as a byproduct of the StatefulSet configuration but does not impact your existing cluster.

4. This will continue until all of the pods have restarted and are running the new image. To check the image of each pod to determine whether they've all be upgraded, run:

   $ kubectl get pods \
   -o jsonpath='{range .items[*]}{.metadata.name}{"\t"}{.spec.containers[0].image}{"\n"}'
   

   cockroachdb-0   cockroachdb/cockroach:v19.1.0
   cockroachdb-1   cockroachdb/cockroach:v19.1.0
   cockroachdb-2   cockroachdb/cockroach:v19.1.0
   cockroachdb-3   cockroachdb/cockroach:v19.1.0
   ...
   

   my-release-cockroachdb-0    cockroachdb/cockroach:v19.1.0
   my-release-cockroachdb-1    cockroachdb/cockroach:v19.1.0
   my-release-cockroachdb-2    cockroachdb/cockroach:v19.1.0
   my-release-cockroachdb-3    cockroachdb/cockroach:v19.1.0
   ...
   

   You can also check the CockroachDB version of each node in the Admin UI:

   

5. Finish the upgrade.

   Note:

   This step is relevant only when upgrading from v2.1.x to v19.1. For upgrades within the v19.1.x series, skip this step.

   If you disabled auto-finalization in step 1 above, monitor the stability and performance of your cluster for as long as you require to feel comfortable with the upgrade (generally at least a day). If during this time you decide to roll back the upgrade, repeat the rolling restart procedure with the old binary.

   Once you are satisfied with the new version, re-enable auto-finalization:

   1. Launch a temporary interactive pod and start the built-in SQL client inside it:

      $ kubectl run cockroachdb -it \
      --image=cockroachdb/cockroach \
      --rm \
      --restart=Never \
      -- sql \
      --insecure \
      --host=cockroachdb-public
      

      $ kubectl run cockroachdb -it \
      --image=cockroachdb/cockroach \
      --rm \
      --restart=Never \
      -- sql \
      --insecure \
      --host=my-release-cockroachdb-public
      

   2. Re-enable auto-finalization:

      > RESET CLUSTER SETTING cluster.preserve_downgrade_option;
      

   3. Exit the SQL shell and delete the temporary pod:

      > \q
      

Stop the cluster

To shut down the CockroachDB cluster:

1. Delete all of the resources you created, including the logs and remote persistent volumes:

   $ kubectl delete pods,statefulsets,services,persistentvolumeclaims,persistentvolumes,poddisruptionbudget,jobs,rolebinding,clusterrolebinding,role,clusterrole,serviceaccount,alertmanager,prometheus,prometheusrule,serviceMonitor -l app=cockroachdb
   

   pod "cockroachdb-0" deleted
   pod "cockroachdb-1" deleted
   pod "cockroachdb-2" deleted
   pod "cockroachdb-3" deleted
   service "alertmanager-cockroachdb" deleted
   service "cockroachdb" deleted
   service "cockroachdb-public" deleted
   persistentvolumeclaim "datadir-cockroachdb-0" deleted
   persistentvolumeclaim "datadir-cockroachdb-1" deleted
   persistentvolumeclaim "datadir-cockroachdb-2" deleted
   persistentvolumeclaim "datadir-cockroachdb-3" deleted
   poddisruptionbudget "cockroachdb-budget" deleted
   job "cluster-init" deleted
   clusterrolebinding "prometheus" deleted
   clusterrole "prometheus" deleted
   serviceaccount "prometheus" deleted
   alertmanager "cockroachdb" deleted
   prometheus "cockroachdb" deleted
   prometheusrule "prometheus-cockroachdb-rules" deleted
   servicemonitor "cockroachdb" deleted
   

   $ helm delete my-release --purge
   

   release "my-release" deleted
   

2. Stop Kubernetes:

   • Hosted GKE:

     $ gcloud container clusters delete cockroachdb
     

   • Hosted EKS:

     $ eksctl delete cluster --name cockroachdb
     

   • Manual GCE:

     $ cluster/kube-down.sh
     

   • Manual AWS:

     $ cluster/kube-down.sh
     

   Warning:

   If you stop Kubernetes without first deleting the persistent volumes, they will still exist in your cloud project.

See also

• Kubernetes Multi-Cluster Deployment
• Kubernetes Performance Guide
• Production Checklist
• Manual Deployment
• Orchestrated Deployment
• Monitoring and Alerting
• Performance Benchmarking
• Performance Tuning
• Local Deployment

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