Deploying a New Greenplum Cluster

This section describes how to use the Greenplum Operator deploy a Greenplum cluster to your Kubernetes system. You can use these instructions either to deploy a brand new cluster (provisioning new, empty Persistent Volume Claims in Kubernetes), or to re-deploy an earlier cluster, re-using existing Persistent Volumes if available.


This procedure requires that you first install the Greenplum for Kubernetes docker images and create the Greenplum Operator in your Kubernetes system. See Installing Greenplum for Kubernetes for more information.

Verify that the Greenplum Operator is installed and running in your system before you continue:

$ helm list
NAME                REVISION    UPDATED                     STATUS      CHART           APP VERSION     NAMESPACE
greenplum-operator  1           Thu Oct 11 15:38:54 2018    DEPLOYED    operator-0.1.0  1.0             default  

To deploy multiple Greenplum cluster instances, you require multiple namespaces in your Kubernetes environment to target each cluster. If you need to create a new Kubernetes namespace, use the kubectl create namespace command. For example:

kubectl create namespace gpinstance-1
namespace/gpinstance-1 created

Verify that you have a namespace for the new Greenplum cluster instances that you want to deploy. For example:

$ kubectl get namespaces
NAME          STATUS    AGE
default       Active    50d
gpinstance-1  Active    50d 
gpinstance-2  Active    50d 
kube-public   Active    50d
kube-system   Active    50d

In the above output, gpinstance-1 and gpinstance-2 can be used as namespaces for deploying two different Greenplum cluster.


  1. Go to the workspace subdirectory where you unpacked the Greenplum for Kubernetes distribution:

    $ cd ./greenplum-for-kubernetes-*/workspace
  2. If necessary, create a Kubernetes manifest file to specify the configuration of your Greenplum cluster. A sample file is provided in workspace/my-gp-instance.yaml. my-gp-instance.yaml contains the minimal set of instructions necessary to create a demonstration cluster named “my-greenplum” with a single segment (a single primary and mirror segment) and default storage, memory, and CPU settings:

    apiVersion: ""
    kind: "GreenplumCluster"
      name: my-greenplum
        hostBasedAuthentication: |
          # host   all   gpadmin   trust
          # host   all   gpuser   md5
        memory: "800Mi"
        cpu: "0.5"
        storageClassName: standard
        storage: 1G
        antiAffinity: yes
        primarySegmentCount: 1
        memory: "800Mi"
        cpu: "0.5"
        storageClassName: standard
        storage: 2G
        antiAffinity: yes

    Most non-trivial clusters will require configuration changes to specify additional segments, cpu, memory, pg_hba.conf entries, and Storage Class resources. See Greenplum Operator Manifest File for information about these configuration parameters and change them as necessary before you continue.

    If you want to re-deploy a Greenplum cluster that you previously deployed, simply locate and use the existing configuration file.

    If you want to deploy another Greenplum cluster (in a separate Kubernetes namespace), copy the workspace/my-gp-instance.yaml or a another deployment manifest file, and edit it as necessary to meet your cluster configuration requirements.

  3. (Optional) If you have specified workerSelector in your manifest file, then you need to apply the specified labels to the nodes that belong in the masterAndStandby and segments pools by using the following command:

    kubectl label node <node name> <key>=<value>
  4. Use kubectl apply command and specify your manifest file to send the deployment request to the Greenplum Operator. For example, to use the sample my-gp-instance.yaml file:

    $ kubectl apply -f ./my-gp-instance.yaml  created

    If you are deploying another instance of a Greenplum cluster, specify the Kubernetes namespace where you want to deploy the new cluster. For example, if you previously deployed a cluster in the namespace gpinstance-1, you could deploy a second Greenplum cluster in the gpinstance-2 namespace using the command:

    $ kubectl apply -f ./my-gp-instance.yaml -n gpinstance-2 created

    The Greenplum Operator deploys the necessary Greenplum resources according to your specification, and also initializes the Greenplum cluster. If there are no existing Persistent Volume Claims for the cluster, new PVCs are created and used for the deployment. If PVCs for the cluster already exist, they are used as-is with the available data.

  5. Use kubectl get nodes --show-labels to verify that nodes have been labeled with greenplum-affinity-<namespace>-segment=a, greenplum-affinity-<namespace>-segment=b, and/or greenplum-affinity-<namespace>-master=true, as shown below.

    Note that these labels should not be manually modified as they are used by the Operator for anti-affinity.

    $ kubectl get nodes --show-labels
    NAME                                      STATUS   ROLES    AGE   VERSION   LABELS
    vm-4b50d90e-5e00-411f-5516-588711f0a618   Ready    <none>   11h   v1.12.4,,,,,,,greenplum-affinity-default-master=true,greenplum-affinity-default-segment=a,,spec.ip=,worker=my-gp-masters
    vm-50da037c-0c00-46f8-5968-2a51cf17e426   Ready    <none>   11h   v1.12.4,,,,,,,greenplum-affinity-default-master=true,greenplum-affinity-default-segment=b,,spec.ip=,worker=my-gp-masters
    vm-73e119aa-da79-4686-58df-1e9d7a9eff18   Ready    <none>   11h   v1.12.4,,,,,,,greenplum-affinity-default-master=true,greenplum-affinity-default-segment=a,,spec.ip=,worker=my-gp-segments
    vm-8e43e0c6-6fd5-4bff-5c3a-150cbca76781   Ready    <none>   11h   v1.12.4,,,,,,,greenplum-affinity-default-master=true,greenplum-affinity-default-segment=b,,spec.ip=,worker=my-gp-segments
    vm-cf9fcef9-2557-43ca-43fa-01b21618e9ba   Ready    <none>   11h   v1.12.4,,,,,,,greenplum-affinity-default-master=true,greenplum-affinity-default-segment=a,,spec.ip=,worker=my-gp-segments
    vm-fb806a3c-8198-4608-671e-4659c940d2a4   Ready    <none>   11h   v1.12.4,,,,,,,greenplum-affinity-default-master=true,greenplum-affinity-default-segment=b,,spec.ip=,worker=my-gp-segments
  6. While the cluster is initializing the status will be Pending:

    $ watch kubectl get all
    NAME                                      READY     STATUS    RESTARTS   AGE
    pod/greenplum-operator-58dd68b9c5-frrbz   1/1       Running   3          3h
    pod/master-0                              1/1       Running   0          1m
    pod/master-1                              1/1       Running   0          1m
    pod/segment-a-0                           1/1       Running   0          1m
    pod/segment-b-0                           1/1       Running   0          1m
    NAME                 TYPE           CLUSTER-IP      EXTERNAL-IP   PORT(S)          AGE
    service/agent        ClusterIP      None            <none>        22/TCP           1m
    service/greenplum    LoadBalancer   <pending>     5432:32686/TCP   1m
    service/kubernetes   ClusterIP       <none>        443/TCP          22h
    NAME                                 DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE
    deployment.apps/greenplum-operator   1         1         1            1           3h
    NAME                                            DESIRED   CURRENT   READY     AGE
    replicaset.apps/greenplum-operator-58dd68b9c5   1         1         1         3h
    NAME                         DESIRED   CURRENT   AGE
    statefulset.apps/master      2         2         1m
    statefulset.apps/segment-a   1         1         1m
    statefulset.apps/segment-b   1         1         1m
    NAME                                                 STATUS    AGE   Pending   1m
  7. Describe your Greenplum cluster to verify that it was created successfully. The Phase should eventually transition to Running:

    $ kubectl describe greenplumClusters/my-greenplum
    Name:         my-greenplum
    Namespace:    default
    Labels:       <none>
                    {"apiVersion":"","kind":"GreenplumCluster", "metadata":{"annotations":{},"name":"my-greenplum", "namespace":"default"...
    API Version:
    Kind:         GreenplumCluster
      Creation Timestamp:  2019-04-01T15:19:17Z
      Generation:          1
      Resource Version:    1469567
      Self Link:           /apis/
      UID:                 83e0bdfd-5491-11e9-a268-c28bb5ff3d1c
      Master And Standby:
        Anti Affinity:              yes
        Cpu:                        0.5
        Host Based Authentication:  # host   all   gpadmin   trust
    # host   all   gpuser   md5
        Memory:              800Mi
        Storage:             1G
        Storage Class Name:  standard
        Worker Selector:
        Anti Affinity:          yes
        Cpu:                    0.5
        Memory:                 800Mi
        Primary Segment Count:  1
        Storage:                2G
        Storage Class Name:     standard
        Worker Selector:
      Instance Image:    greenplum-for-kubernetes:latest
      Operator Version:  greenplum-operator:latest
      Phase:             Running
      Type    Reason                    Age   From               Message
      ----    ------                    ----  ----               -------
      Normal  CreatingGreenplumCluster  2m    greenplumOperator  Creating Greenplum cluster my-greenplum in default
      Normal  CreatedGreenplumCluster   8s    greenplumOperator  Successfully created Greenplum cluster my-greenplum in default

    If you are deploying a brand new cluster, the Greenplum Operator automatically initializes the Greenplum cluster. The Phase should eventually transition from Pending to Running and the Events should match the output above.

    Note if you redeployed a previously-deployed Greenplum cluster, the phase will stay at Pending. It uses the previous Persistent Volume Claims if available. In this case, the master and segment data directories will already exist in their former state. The logs on master-0 pod will indicate that the cluster cannot be automatically initialized. In this case, you must execute gpstart -a on the master-0 pod. After this manual step, the phase should transition to Running.

  8. At this point, you can work with the deployed Greenplum cluster by executing Greenplum utilities from within Kubernetes, or by using a locally-installed tool, such as psql, to access the Greenplum instance running in Kubernetes. For example, to run the psql utility on the master-0 pod:

    $ kubectl exec -it master-0 bash -- -c "source /opt/gpdb/; psql"
    psql (8.3.23)
    Type "help" for help.
    gpadmin=# select * from gp_segment_configuration;
     dbid | content | role | preferred_role | mode | status | port  |               
      hostname                 |                   address                   | repli
        1 |      -1 | p    | p              | s    | u      |  5432 | master-0      
                               | master-0.agent.default.svc.cluster.local    |      
        2 |       0 | p    | p              | s    | u      | 40000 | segment-a-0   
                               | segment-a-0.agent.default.svc.cluster.local |      
        3 |       0 | m    | m              | s    | u      | 50000 | segment-b-0   
                               | segment-b-0.agent.default.svc.cluster.local |      
        4 |      -1 | m    | m              | s    | u      |  5432 | master-1.agent
    .default.svc.cluster.local | master-1.agent.default.svc.cluster.local    |      
    (4 rows)

    (Enter \q to exit the psql utility.)

    See also Accessing a Greenplum Cluster in Kubernetes.