Getting Started
Siddhi Operator allows you to run stream processing logic directly on a Kubernetes cluster.
To use it, you need to be connected to a cloud environment or to a local cluster created for development purposes.
Prerequisites
Running the Operator
- Kubernetes v1.10.11+
- kubectl version v1.11.3+
Building the Operator
Local Deployment
Minikube
Refer Minikube Installation Guide to setup a local kubernetes cluster with Minikube.
Docker for Mac
Refer Docker for Mac Installation Guide setup a local kubernetes cluster with Docker for Mac.
Google Kubernetes Engine Cluster
Make sure you apply configuration settings for your GKE cluster before installing Siddhi Operator.
Enable the NGINX Ingress controller
The Siddhi Operator resource uses the NGINX Ingress Controller to expose the deployments to the external traffic.
In order to enable the NGINX Ingress controller in the desired cloud or on-premise environment,
please refer the official documentation, NGINX Ingress Controller Installation Guide.
Supported Version: nginx 0.22.0+
Install Siddhi Operator in Kubernetes cluster
-
Clone Siddhi Operator Git repository.
git clone https://github.com/siddhi-io/siddhi-operator.git
-
Execute the following commands to setup the Siddhi Operator in the kubernetes cluster.
kubectl apply -f ./deploy/siddhi_v1alpha2_siddhiprocess_crd.yaml
kubectl apply -f ./deploy/service_account.yaml
kubectl apply -f ./deploy/role.yaml
kubectl apply -f ./deploy/role_binding.yaml
kubectl apply -f ./deploy/operator.yaml
Testing a sample
-
Execute the below command to create a sample siddhi deployment.
kubectl apply -f ./deploy/examples/example-stateless-log-app.yaml
Siddhi Operator would create a Siddhi-Runner deployment with the Siddhi app deployed through the example-siddhi-app CRD, a service, and an ingress to expose the http endpoint which is in the Siddhi sample.
$ kubectl get SiddhiProcesses
NAME STATUS READY AGE
power-surge-app Running 1/1 2m
$ kubectl get deployment
NAME READY UP-TO-DATE AVAILABLE AGE
power-surge-app-0 1/1 1 1 2m
siddhi-operator 1/1 1 1 2m
$ kubectl get service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 2d
power-surge-app-0 ClusterIP 10.96.44.182 <none> 8080/TCP 2m
siddhi-operator ClusterIP 10.98.78.238 <none> 8383/TCP 2m
$ kubectl get ingress
NAME HOSTS ADDRESS PORTS AGE
siddhi siddhi 10.0.2.15 80 2m
ℹ Note: The Siddhi Operator automatically creates an ingress and exposes the internal HTTP/HTTPS endpoints available in the Siddhi App by default.
In order to disable the automatic ingress creation, you have to change the autoIngressCreation
value in the Siddhi siddhi-operator-config
config map to false
or null
.
-
Obtain the external IP (EXTERNAL-IP) of the Ingress resources by listing down the Kubernetes Ingresses.
kubectl get ing
-
Add the above host (siddhi
) as an entry in /etc/hosts file.
-
Use following CURL command to publish an event to the sample Siddhi app that's deployed.
curl -X POST \
http://siddhi/power-surge-app-0/8080/checkPower \
-H 'Accept: */*' \
-H 'Content-Type: application/json' \
-H 'Host: siddhi' \
-d '{
"deviceType": "dryer",
"power": 60000
}'
-
View the logs of the Siddhi Runner pod and observe the entry being printed by the Siddhi sample app accepting event through the http
endpoint.
$ kubectl get pods
NAME READY STATUS RESTARTS AGE
power-surge-app-0-646c4f9dd5-rxzkq 1/1 Running 0 4m
siddhi-operator-6698d8f69d-6rfb6 1/1 Running 0 4m
$ kubectl logs power-surge-app-0-646c4f9dd5-rxzkq
...
[2019-07-12 07:12:48,925] INFO {org.wso2.transport.http.netty.contractimpl.listener.ServerConnectorBootstrap$HttpServerConnector} - HTTP(S) Interface starting on host 0.0.0.0 and port 9443
[2019-07-12 07:12:48,927] INFO {org.wso2.transport.http.netty.contractimpl.listener.ServerConnectorBootstrap$HttpServerConnector} - HTTP(S) Interface starting on host 0.0.0.0 and port 9090
[2019-07-12 07:12:48,941] INFO {org.wso2.carbon.kernel.internal.CarbonStartupHandler} - Siddhi Runner Distribution started in 6.853 sec
[2019-07-12 07:17:22,219] INFO {io.siddhi.core.stream.output.sink.LogSink} - LOGGER : Event{timestamp=1562915842182, data=[dryer, 60000], isExpired=false}
Please refer the Siddhi documentation for more details about the Siddhi application deployment in Kubernetes.
Build from Source
Build the Operator
Clone the operator source repository by executing the below commands.
$ mkdir $GOPATH/src/github.com/siddhi-io
$ cd $GOPATH/src/github.com/siddhi-io
$ git clone https://github.com/siddhi-io/siddhi-operator.git
Build the operator by executing the below command. Replace DOCKER_REGISTRY_URL
with your private/public docker repository URL where you'll be hosting the Siddhi Operator image.
$ operator-sdk build <DOCKER_REGISTRY_URL>/<USER_NAME>/siddhi-operator:<TAG>
Push the operator as follow.
$ docker push <DOCKER_REGISTRY_URL>/<USER_NAME>/siddhi-operator:<TAG>
Change image name of the operator.yaml
file.
$ sed -i 's|docker.io/siddhiio/siddhi-operator:*|<DOCKER_REGISTRY_URL>/<USER_NAME>/siddhi-operator:<TAG>|g' deploy/operator.yaml
Now you can install the operator as describe in previous installation section.
Test the Operator
Unit Tests
Execute the below command to start the unit tests.
$ go test ./pkg/controller/siddhiprocess/<PACKAGE_NAME>
For example, run the unit tests for package artifact
.
$ go test ./pkg/controller/siddhiprocess/artifact
E2E Tests
If you have manually made any changes to the Operator, you can verify its functionality with the E2E tests.
Execute the below commands to set up the needed infrastructure for the test-cases.
-
It is recommended to create a separate namespace to test the operator. To do that use the following command.
$ kubectl create namespace operator-test
-
After that, you need to install the NATS operator and NATS streaming operator in the operator-test
namespace. To do that please refer this documentation.
-
Then you have to set up the siddhi-operator in operator-test
namespace using following commands.
$ kubectl apply -f ./deploy/siddhi_v1alpha2_siddhiprocess_crd.yaml --namespace operator-test
$ kubectl apply -f ./deploy/service_account.yaml --namespace operator-test
$ kubectl apply -f ./deploy/role.yaml --namespace operator-test
$ kubectl apply -f ./deploy/role_binding.yaml --namespace operator-test
$ kubectl apply -f ./deploy/operator.yaml --namespace operator-test
-
Finally, test the operator using following command.
$ operator-sdk test local ./test/e2e --namespace operator-test --no-setup
For more details about operator sdk tests, refer this.