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New to KubeDB? Please start here.
Run Druid with Custom PodTemplate
KubeDB supports providing custom configuration for Druid via PodTemplate. This tutorial will show you how to use KubeDB to run a Druid database with custom configuration using PodTemplate.
Before You Begin
At first, you need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. If you do not already have a cluster, you can create one by using kind.
Now, install KubeDB cli on your workstation and KubeDB operator in your cluster following the steps here.
To keep things isolated, this tutorial uses a separate namespace called
demothroughout this tutorial.$ kubectl create ns demo namespace/demo created
Note: YAML files used in this tutorial are stored in docs/guides/druid/configuration/podtemplating/yamls folder in GitHub repository kubedb/docs.
Overview
KubeDB allows providing a template for leaf and aggregator pod through spec.topology.aggregator.podTemplate and spec.topology.leaf.podTemplate. KubeDB operator will pass the information provided in spec.topology.aggregator.podTemplate and spec.topology.leaf.podTemplate to the aggregator and leaf PetSet created for Druid database.
KubeDB allows providing a template for all the druid pods through spec.topology.<node-name>.podTemplate. KubeDB operator will pass the information provided in spec.topology.<node-name>.podTemplate to the corresponding PetSet created for Druid database.
KubeDB accept following fields to set in spec.podTemplate:
- metadata:
- annotations (pod’s annotation)
- labels (pod’s labels)
- controller:
- annotations (statefulset’s annotation)
- labels (statefulset’s labels)
- spec:
- volumes
- initContainers
- containers
- imagePullSecrets
- nodeSelector
- serviceAccountName
- schedulerName
- tolerations
- priorityClassName
- priority
- securityContext
Read about the fields in details in PodTemplate concept,
Create External Dependency (Deep Storage)
Before proceeding further, we need to prepare deep storage, which is one of the external dependency of Druid and used for storing the segments. It is a storage mechanism that Apache Druid does not provide. Amazon S3, Google Cloud Storage, or Azure Blob Storage, S3-compatible storage (like Minio), or HDFS are generally convenient options for deep storage.
In this tutorial, we will run a minio-server as deep storage in our local kind cluster using minio-operator and create a bucket named druid in it, which the deployed druid database will use.
$ helm repo add minio https://operator.min.io/
$ helm repo update minio
$ helm upgrade --install --namespace "minio-operator" --create-namespace "minio-operator" minio/operator --set operator.replicaCount=1
$ helm upgrade --install --namespace "demo" --create-namespace druid-minio minio/tenant \
--set tenant.pools[0].servers=1 \
--set tenant.pools[0].volumesPerServer=1 \
--set tenant.pools[0].size=1Gi \
--set tenant.certificate.requestAutoCert=false \
--set tenant.buckets[0].name="druid" \
--set tenant.pools[0].name="default"
Now we need to create a Secret named deep-storage-config. It contains the necessary connection information using which the druid database will connect to the deep storage.
apiVersion: v1
kind: Secret
metadata:
name: deep-storage-config
namespace: demo
stringData:
druid.storage.type: "s3"
druid.storage.bucket: "druid"
druid.storage.baseKey: "druid/segments"
druid.s3.accessKey: "minio"
druid.s3.secretKey: "minio123"
druid.s3.protocol: "http"
druid.s3.enablePathStyleAccess: "true"
druid.s3.endpoint.signingRegion: "us-east-1"
druid.s3.endpoint.url: "http://myminio-hl.demo.svc.cluster.local:9000/"
Let’s create the deep-storage-config Secret shown above:
$ kubectl create -f https://github.com/kubedb/docs/raw/v2024.11.18/docs/guides/druid/backup/application-level/examples/deep-storage-config.yaml
secret/deep-storage-config created
CRD Configuration
Below is the YAML for the Druid created in this example. Here, spec.topology.aggregator/leaf.podTemplate.spec.args provides extra arguments.
apiVersion: kubedb.com/v1alpha2
kind: Druid
metadata:
name: druid-cluster
namespace: demo
spec:
version: 28.0.1
configSecret:
name: config-secret
deepStorage:
type: s3
configSecret:
name: deep-storage-config
topology:
coordinators:
replicas: 1
podTemplate:
spec:
containers:
- name: druid
resources:
limits:
memory: "2Gi"
cpu: "600m"
requests:
memory: "2Gi"
cpu: "600m"
brokers:
replicas: 1
podTemplate:
spec:
containers:
- name: druid
resources:
limits:
memory: "2Gi"
cpu: "600m"
requests:
memory: "2Gi"
cpu: "600m"
routers:
replicas: 1
deletionPolicy: WipeOut
$ kubectl create -f https://github.com/kubedb/docs/raw/v2024.11.18/docs/guides/druid/configuration/podtemplating/yamls/druid-cluster.yaml
druid.kubedb.com/druid-cluster created
Now, wait a few minutes. KubeDB operator will create necessary PVC, petset, services, secret etc. If everything goes well, we will see that druid-cluster is in Ready state.
$ kubectl get druid -n demo
NAME TYPE VERSION STATUS AGE
druid-cluster kubedb.com/v1alpha2 28.0.1 Ready 6m5s
Check that the petset’s pod is running
$ kubectl get pods -n demo -l app.kubernetes.io/instance=druid-cluster
NAME READY STATUS RESTARTS AGE
druid-cluster-brokers-0 1/1 Running 0 7m2s
druid-cluster-coordinators-0 1/1 Running 0 7m9s
druid-cluster-historicals-0 1/1 Running 0 7m7s
druid-cluster-middlemanagers-0 1/1 Running 0 7m5s
druid-cluster-routers-0 1/1 Running 0 7m
Now, we will check if the database has started with the custom configuration we have provided.
$ kubectl get pod -n demo druid-cluster-coordinators-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"cpu": "600m",
"memory": "2Gi"
},
"requests": {
"cpu": "600m",
"memory": "2Gi"
}
}
$ kubectl get pod -n demo druid-cluster-brokers-0 -o json | jq '.spec.containers[].resources'
{
"limits": {
"cpu": "600m",
"memory": "2Gi"
},
"requests": {
"cpu": "600m",
"memory": "2Gi"
}
}
Here we can see the containers of the both coordinators and brokers have the resources we have specified in the manifest.
Using Node Selector
Here in this example we will use node selector to schedule our druid pod to a specific node. Applying nodeSelector to the Pod involves several steps. We first need to assign a label to some node that will be later used by the nodeSelector . Let’s find what nodes exist in your cluster. To get the name of these nodes, you can run:
$ kubectl get nodes --show-labels
NAME STATUS ROLES AGE VERSION LABELS
lke212553-307295-339173d10000 Ready <none> 36m v1.30.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/instance-type=g6-dedicated-4,beta.kubernetes.io/os=linux,failure-domain.beta.kubernetes.io/region=ap-south,kubernetes.io/arch=amd64,kubernetes.io/hostname=lke212553-307295-339173d10000,kubernetes.io/os=linux,lke.linode.com/pool-id=307295,node.k8s.linode.com/host-uuid=618158120a299c6fd37f00d01d355ca18794c467,node.kubernetes.io/instance-type=g6-dedicated-4,topology.kubernetes.io/region=ap-south,topology.linode.com/region=ap-south
lke212553-307295-5541798e0000 Ready <none> 36m v1.30.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/instance-type=g6-dedicated-4,beta.kubernetes.io/os=linux,failure-domain.beta.kubernetes.io/region=ap-south,kubernetes.io/arch=amd64,kubernetes.io/hostname=lke212553-307295-5541798e0000,kubernetes.io/os=linux,lke.linode.com/pool-id=307295,node.k8s.linode.com/host-uuid=75cfe3dbbb0380f1727efc53f5192897485e95d5,node.kubernetes.io/instance-type=g6-dedicated-4,topology.kubernetes.io/region=ap-south,topology.linode.com/region=ap-south
lke212553-307295-5b53c5520000 Ready <none> 36m v1.30.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/instance-type=g6-dedicated-4,beta.kubernetes.io/os=linux,failure-domain.beta.kubernetes.io/region=ap-south,kubernetes.io/arch=amd64,kubernetes.io/hostname=lke212553-307295-5b53c5520000,kubernetes.io/os=linux,lke.linode.com/pool-id=307295,node.k8s.linode.com/host-uuid=792bac078d7ce0e548163b9423416d7d8c88b08f,node.kubernetes.io/instance-type=g6-dedicated-4,topology.kubernetes.io/region=ap-south,topology.linode.com/region=ap-south
As you see, we have three nodes in the cluster: lke212553-307295-339173d10000, lke212553-307295-5541798e0000, and lke212553-307295-5b53c5520000.
Next, select a node to which you want to add a label. For example, let’s say we want to add a new label with the key disktype and value ssd to the lke212553-307295-5541798e0000 node, which is a node with the SSD storage. To do so, run:
$ kubectl label nodes lke212553-307295-5541798e0000 disktype=ssd
node/lke212553-307295-5541798e0000 labeled
As you noticed, the command above follows the format kubectl label nodes <node-name> <label-key>=<label-value> .
Finally, let’s verify that the new label was added by running:
$ kubectl get nodes --show-labels
NAME STATUS ROLES AGE VERSION LABELS
lke212553-307295-339173d10000 Ready <none> 41m v1.30.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/instance-type=g6-dedicated-4,beta.kubernetes.io/os=linux,failure-domain.beta.kubernetes.io/region=ap-south,kubernetes.io/arch=amd64,kubernetes.io/hostname=lke212553-307295-339173d10000,kubernetes.io/os=linux,lke.linode.com/pool-id=307295,node.k8s.linode.com/host-uuid=618158120a299c6fd37f00d01d355ca18794c467,node.kubernetes.io/instance-type=g6-dedicated-4,topology.kubernetes.io/region=ap-south,topology.linode.com/region=ap-south
lke212553-307295-5541798e0000 Ready <none> 41m v1.30.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/instance-type=g6-dedicated-4,beta.kubernetes.io/os=linux,disktype=ssd,failure-domain.beta.kubernetes.io/region=ap-south,kubernetes.io/arch=amd64,kubernetes.io/hostname=lke212553-307295-5541798e0000,kubernetes.io/os=linux,lke.linode.com/pool-id=307295,node.k8s.linode.com/host-uuid=75cfe3dbbb0380f1727efc53f5192897485e95d5,node.kubernetes.io/instance-type=g6-dedicated-4,topology.kubernetes.io/region=ap-south,topology.linode.com/region=ap-south
lke212553-307295-5b53c5520000 Ready <none> 41m v1.30.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/instance-type=g6-dedicated-4,beta.kubernetes.io/os=linux,failure-domain.beta.kubernetes.io/region=ap-south,kubernetes.io/arch=amd64,kubernetes.io/hostname=lke212553-307295-5b53c5520000,kubernetes.io/os=linux,lke.linode.com/pool-id=307295,node.k8s.linode.com/host-uuid=792bac078d7ce0e548163b9423416d7d8c88b08f,node.kubernetes.io/instance-type=g6-dedicated-4,topology.kubernetes.io/region=ap-south,topology.linode.com/region=ap-south
As you see, the lke212553-307295-5541798e0000 now has a new label disktype=ssd. To see all labels attached to the node, you can also run:
$ kubectl describe node "lke212553-307295-5541798e0000"
Name: lke212553-307295-5541798e0000
Roles: <none>
Labels: beta.kubernetes.io/arch=amd64
beta.kubernetes.io/instance-type=g6-dedicated-4
beta.kubernetes.io/os=linux
disktype=ssd
failure-domain.beta.kubernetes.io/region=ap-south
kubernetes.io/arch=amd64
kubernetes.io/hostname=lke212553-307295-5541798e0000
kubernetes.io/os=linux
lke.linode.com/pool-id=307295
node.k8s.linode.com/host-uuid=75cfe3dbbb0380f1727efc53f5192897485e95d5
node.kubernetes.io/instance-type=g6-dedicated-4
topology.kubernetes.io/region=ap-south
topology.linode.com/region=ap-south
Along with the disktype=ssd label we’ve just added, you can see other labels such as beta.kubernetes.io/arch or kubernetes.io/hostname. These are all default labels attached to Kubernetes nodes.
Now let’s create a druid with this new label as nodeSelector. Below is the yaml we are going to apply:
apiVersion: kubedb.com/v1alpha2
kind: Druid
metadata:
name: druid-node-selector
namespace: demo
spec:
version: 28.0.1
deepStorage:
type: s3
configSecret:
name: deep-storage-config
topology:
routers:
replicas: 1
coordinators:
podTemplate:
spec:
nodeSelector:
disktype: ssd
deletionPolicy: Delete
$ kubectl create -f https://github.com/kubedb/docs/raw/v2024.11.18/docs/guides/druid/configuration/podtemplating/yamls/druid-node-selector.yaml
druid.kubedb.com/druid-node-selector created
Now, wait a few minutes. KubeDB operator will create necessary petset, services, secret etc. If everything goes well, we will see that the druid-node-selector instance is in Ready state.
$ kubectl get druid -n demo
NAME TYPE VERSION STATUS AGE
druid-node-selector kubedb.com/v1alpha2 28.0.1 Ready 54m
You can verify that by running kubectl get pods -n demo druid-node-selector-0 -o wide and looking at the “NODE” to which the Pod was assigned.
$ kubectl get pods -n demo druid-node-selector-cooridnators-0 -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
druid-node-selector-cooridnators-0 1/1 Running 0 3m19s 10.2.1.7 lke212553-307295-5541798e0000 <none> <none>
We can successfully verify that our pod was scheduled to our desired node.
Using Taints and Tolerations
Here in this example we will use Taints and Tolerations to schedule our druid pod to a specific node and also prevent from scheduling to nodes. Applying taints and tolerations to the Pod involves several steps. Let’s find what nodes exist in your cluster. To get the name of these nodes, you can run:
$ kubectl get nodes --show-labels
NAME STATUS ROLES AGE VERSION LABELS
lke212553-307295-339173d10000 Ready <none> 36m v1.30.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/instance-type=g6-dedicated-4,beta.kubernetes.io/os=linux,failure-domain.beta.kubernetes.io/region=ap-south,kubernetes.io/arch=amd64,kubernetes.io/hostname=lke212553-307295-339173d10000,kubernetes.io/os=linux,lke.linode.com/pool-id=307295,node.k8s.linode.com/host-uuid=618158120a299c6fd37f00d01d355ca18794c467,node.kubernetes.io/instance-type=g6-dedicated-4,topology.kubernetes.io/region=ap-south,topology.linode.com/region=ap-south
lke212553-307295-5541798e0000 Ready <none> 36m v1.30.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/instance-type=g6-dedicated-4,beta.kubernetes.io/os=linux,failure-domain.beta.kubernetes.io/region=ap-south,kubernetes.io/arch=amd64,kubernetes.io/hostname=lke212553-307295-5541798e0000,kubernetes.io/os=linux,lke.linode.com/pool-id=307295,node.k8s.linode.com/host-uuid=75cfe3dbbb0380f1727efc53f5192897485e95d5,node.kubernetes.io/instance-type=g6-dedicated-4,topology.kubernetes.io/region=ap-south,topology.linode.com/region=ap-south
lke212553-307295-5b53c5520000 Ready <none> 36m v1.30.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/instance-type=g6-dedicated-4,beta.kubernetes.io/os=linux,failure-domain.beta.kubernetes.io/region=ap-south,kubernetes.io/arch=amd64,kubernetes.io/hostname=lke212553-307295-5b53c5520000,kubernetes.io/os=linux,lke.linode.com/pool-id=307295,node.k8s.linode.com/host-uuid=792bac078d7ce0e548163b9423416d7d8c88b08f,node.kubernetes.io/instance-type=g6-dedicated-4,topology.kubernetes.io/region=ap-south,topology.linode.com/region=ap-south
As you see, we have three nodes in the cluster: lke212553-307295-339173d10000, lke212553-307295-5541798e0000, and lke212553-307295-5b53c5520000.
Next, we are going to taint these nodes.
$ kubectl taint nodes lke212553-307295-339173d10000 key1=node1:NoSchedule
node/lke212553-307295-339173d10000 tainted
$ kubectl taint nodes lke212553-307295-5541798e0000 key1=node2:NoSchedule
node/lke212553-307295-5541798e0000 tainted
$ kubectl taint nodes lke212553-307295-5b53c5520000 key1=node3:NoSchedule
node/lke212553-307295-5b53c5520000 tainted
Let’s see our tainted nodes here,
$ kubectl get nodes -o json | jq -r '.items[] | select(.spec.taints != null) | .metadata.name, .spec.taints'
lke212553-307295-339173d10000
[
{
"effect": "NoSchedule",
"key": "key1",
"value": "node1"
}
]
lke212553-307295-5541798e0000
[
{
"effect": "NoSchedule",
"key": "key1",
"value": "node2"
}
]
lke212553-307295-5b53c5520000
[
{
"effect": "NoSchedule",
"key": "key1",
"value": "node3"
}
]
We can see that our taints were successfully assigned. Now let’s try to create a druid without proper tolerations. Here is the yaml of druid we are going to create.
apiVersion: kubedb.com/v1alpha2
kind: Druid
metadata:
name: druid-without-tolerations
namespace: demo
spec:
version: 28.0.1
deepStorage:
type: s3
configSecret:
name: deep-storage-config
topology:
routers:
replicas: 1
deletionPolicy: Delete
$ kubectl create -f https://github.com/kubedb/docs/raw/v2024.11.18/docs/guides/druid/configuration/podtemplating/yamls/druid-without-tolerations.yaml
druid.kubedb.com/druid-without-tolerations created
Now, wait a few minutes. KubeDB operator will create necessary petset, services, secret etc. If everything goes well, we will see that a pod with the name druid-without-tolerations-0 has been created and running.
Check that the petset’s pod is running or not,
$ kubectl get pods -n demo -l app.kubernetes.io/instance=druid-without-tolerations
NAME READY STATUS RESTARTS AGE
druid-without-tolerations-brokers-0 0/1 Pending 0 3m35s
druid-without-tolerations-cooridnators-0 0/1 Pending 0 3m35s
druid-without-tolerations-historicals-0 0/1 Pending 0 3m35s
druid-without-tolerations-middlemanager-0 0/1 Pending 0 3m35s
druid-without-tolerations-routers-0 0/1 Pending 0 3m35s
Here we can see that the pod is not running. So let’s describe the pod,
$ kubectl describe pods -n demo druid-without-tolerations-coordinators-0
Name: druid-without-tolerations-coordinators-0
Namespace: demo
Priority: 0
Service Account: default
Node: kind-control-plane/172.18.0.2
Start Time: Wed, 13 Nov 2024 11:59:06 +0600
Labels: app.kubernetes.io/component=database
app.kubernetes.io/instance=druid-without-tolerations
app.kubernetes.io/managed-by=kubedb.com
app.kubernetes.io/name=druids.kubedb.com
apps.kubernetes.io/pod-index=0
controller-revision-hash=druid-without-tolerations-coordinators-65c8c99fc7
kubedb.com/role=coordinators
statefulset.kubernetes.io/pod-name=druid-without-tolerations-coordinators-0
Annotations: <none>
Status: Running
IP: 10.244.0.53
IPs:
IP: 10.244.0.53
Controlled By: PetSet/druid-without-tolerations-coordinators
Init Containers:
init-druid:
Container ID: containerd://62c9a2053d619dded2085e354cd2c0dfa238761033cc0483c824c1ed8ee4c002
Image: ghcr.io/kubedb/druid-init:28.0.1@sha256:ed87835bc0f89dea923fa8e3cf1ef209e3e41cb93944a915289322035dcd8a91
Image ID: ghcr.io/kubedb/druid-init@sha256:ed87835bc0f89dea923fa8e3cf1ef209e3e41cb93944a915289322035dcd8a91
Port: <none>
Host Port: <none>
State: Terminated
Reason: Completed
Exit Code: 0
Started: Wed, 13 Nov 2024 11:59:07 +0600
Finished: Wed, 13 Nov 2024 11:59:07 +0600
Ready: True
Restart Count: 0
Limits:
memory: 512Mi
Requests:
cpu: 200m
memory: 512Mi
Environment:
DRUID_METADATA_TLS_ENABLE: false
DRUID_METADATA_STORAGE_TYPE: MySQL
Mounts:
/opt/druid/conf from main-config-volume (rw)
/opt/druid/extensions/mysql-metadata-storage from mysql-metadata-storage (rw)
/tmp/config/custom-config from custom-config (rw)
/tmp/config/operator-config from operator-config-volume (rw)
/var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-9t5kp (ro)
Containers:
druid:
Container ID: containerd://3a52f120ca09f90fcdc062c94bf404964add7a5b6ded4a372400267a9d0fd598
Image: ghcr.io/appscode-images/druid:28.0.1@sha256:d86e424233ec5a120c1e072cf506fa169868fd9572bbb9800a85400f0c879dec
Image ID: ghcr.io/appscode-images/druid@sha256:d86e424233ec5a120c1e072cf506fa169868fd9572bbb9800a85400f0c879dec
Port: 8081/TCP
Host Port: 0/TCP
Command:
/druid.sh
coordinator
State: Running
Started: Wed, 13 Nov 2024 11:59:09 +0600
Ready: True
Restart Count: 0
Limits:
cpu: 600m
memory: 2Gi
Requests:
cpu: 600m
memory: 2Gi
Environment:
DRUID_ADMIN_PASSWORD: <set to the key 'password' in secret 'druid-without-tolerations-auth'> Optional: false
DRUID_METADATA_STORAGE_PASSWORD: VHJ6!hFuT8WDjcyy
DRUID_ZK_SERVICE_PASSWORD: VHJ6!hFuT8WDjcyy
Mounts:
/opt/druid/conf from main-config-volume (rw)
/opt/druid/extensions/mysql-metadata-storage from mysql-metadata-storage (rw)
/var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-9t5kp (ro)
Conditions:
Type Status
PodReadyToStartContainers True
Initialized True
Ready True
ContainersReady True
PodScheduled True
Volumes:
data:
Type: PersistentVolumeClaim (a reference to a PersistentVolumeClaim in the same namespace)
ClaimName: data-druid-without-tolerations-0
ReadOnly: false
init-scripts:
Type: EmptyDir (a temporary directory that shares a pod's lifetime)
Medium:
SizeLimit: <unset>
kube-api-access-htm2z:
Type: Projected (a volume that contains injected data from multiple sources)
TokenExpirationSeconds: 3607
ConfigMapName: kube-root-ca.crt
ConfigMapOptional: <nil>
DownwardAPI: true
QoS Class: Burstable
Node-Selectors: <none>
Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s
node.kubernetes.io/unreachable:NoExecute op=Exists for 300s
Topology Spread Constraints: kubernetes.io/hostname:ScheduleAnyway when max skew 1 is exceeded for selector app.kubernetes.io/component=database,app.kubernetes.io/instance=druid-without-tolerations,app.kubernetes.io/managed-by=kubedb.com,app.kubernetes.io/name=druids.kubedb.com,kubedb.com/petset=standalone
topology.kubernetes.io/zone:ScheduleAnyway when max skew 1 is exceeded for selector app.kubernetes.io/component=database,app.kubernetes.io/instance=druid-without-tolerations,app.kubernetes.io/managed-by=kubedb.com,app.kubernetes.io/name=druids.kubedb.com,kubedb.com/petset=standalone
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Warning FailedScheduling 5m20s default-scheduler 0/3 nodes are available: 1 node(s) had untolerated taint {key1: node1}, 1 node(s) had untolerated taint {key1: node2}, 1 node(s) had untolerated taint {key1: node3}. preemption: 0/3 nodes are available: 3 Preemption is not helpful for scheduling.
Warning FailedScheduling 11s default-scheduler 0/3 nodes are available: 1 node(s) had untolerated taint {key1: node1}, 1 node(s) had untolerated taint {key1: node2}, 1 node(s) had untolerated taint {key1: node3}. preemption: 0/3 nodes are available: 3 Preemption is not helpful for scheduling.
Normal NotTriggerScaleUp 13s (x31 over 5m15s) cluster-autoscaler pod didn't trigger scale-up:
Here we can see that the pod has no tolerations for the tainted nodes and because of that the pod is not able to scheduled.
So, let’s add proper tolerations and create another druid. Here is the yaml we are going to apply,
apiVersion: kubedb.com/v1alpha2
kind: Druid
metadata:
name: druid-cluster
namespace: demo
spec:
version: 28.0.1
deepStorage:
type: s3
configSecret:
name: deep-storage-config
topology:
routers:
podTemplate:
spec:
tolerations:
- key: "key1"
operator: "Equal"
value: "node1"
effect: "NoSchedule"
replicas: 1
coordinators:
podTemplate:
spec:
tolerations:
- key: "key1"
operator: "Equal"
value: "node1"
effect: "NoSchedule"
replicas: 1
brokers:
podTemplate:
spec:
tolerations:
- key: "key1"
operator: "Equal"
value: "node1"
effect: "NoSchedule"
replicas: 1
historicals:
podTemplate:
spec:
tolerations:
- key: "key1"
operator: "Equal"
value: "node1"
effect: "NoSchedule"
replicas: 1
middleManagers:
podTemplate:
spec:
tolerations:
- key: "key1"
operator: "Equal"
value: "node1"
effect: "NoSchedule"
replicas: 1
deletionPolicy: Delete
$ kubectl create -f https://github.com/kubedb/docs/raw/v2024.11.18/docs/guides/druid/configuration/podtemplating/yamls/druid-with-tolerations.yaml
druid.kubedb.com/druid-with-tolerations created
Now, wait a few minutes. KubeDB operator will create necessary petset, services, secret etc. If everything goes well, we will see that a pod with the name druid-with-tolerations-0 has been created.
Check that the petset’s pod is running
$ $ kubectl get pods -n demo -l app.kubernetes.io/instance=druid-cluster
NAME READY STATUS RESTARTS AGE
druid-with-tolerations-brokers-0 1/1 Running 0 164m
druid-with-tolerations-coordinators-0 1/1 Running 0 164m
druid-with-tolerations-historicals-0 1/1 Running 0 164m
druid-with-tolerations-middlemanagers-0 1/1 Running 0 164m
druid-with-tolerations-routers-0 1/1 Running 0 164m
As we see the pod is running, you can verify that by running kubectl get pods -n demo druid-with-tolerations-0 -o wide and looking at the “NODE” to which the Pod was assigned.
$ kubectl get pods -n demo druid-with-tolerations-coordinators-0 -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
druid-with-tolerations-coordinators-0 1/1 Running 0 3m49s 10.2.0.8 lke212553-307295-339173d10000 <none> <none>
We can successfully verify that our pod was scheduled to the node which it has tolerations.
Cleaning up
To cleanup the Kubernetes resources created by this tutorial, run:
kubectl delete druid -n demo druid-with-tolerations
kubectl delete ns demo
If you would like to uninstall KubeDB operator, please follow the steps here.
Next Steps
- Quickstart Druid with KubeDB Operator.
- Detail concepts of Druid object.
- Want to hack on KubeDB? Check our contribution guidelines.