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Running the Streaming Integrator in Containerized Environments¶

Running the Streaming Integrator with Docker¶

This section shows you how to run Streaming Integrator in Docker. This involves installing Docker, running the Streaming Integrator in Docker and then deploying and running a Siddhi application in the Docker environment.

Before you begin:

The system requirements are as follows:
- 3 GHz Dual-core Xeon/Opteron (or latest)
- 8 GB RAM
- 10 GB free disk space
Install Docker by following the instructions provided in here.

Save the following Siddhi application as a .siddhi file in a preferred location in your machine.

@App:name('MySimpleApp')
@App:description('Receive events via HTTP transport and view the output on the console')
@Source(type = 'http', receiver.url='http://0.0.0.0:8006/productionStream', basic.auth.enabled='false',
   @map(type='json'))
define stream SweetProductionStream (name string, amount double);
@sink(type='log')
define stream TransformedProductionStream (nameInUpperCase string, amount double);
-- Simple Siddhi query to transform the name to upper case.
from SweetProductionStream
select str:upper(name) as nameInUpperCase, amount
insert into TransformedProductionStream;

Note the following about this Siddhi application.

The Siddhi application operates in Docker. Therefore, the HTTP source configured in it uses a receiver URL where the host number is 0.0.0.0.
The 8006 port of the receiver URL is the same HTTP port that you previously exposed via Docker.

Starting the Streaming Integrator in Docker¶

In this scenario, you are downloading and installing the Streaming Integrator via Docker.

WSO2 provides open source Docker images to run WSO2 Streaming Integrator in Docker Hub. You can view these images In Docker Hub - WSO2.

To run the Streaming Integrator in the open source image that is available for it

To pull the required WSO2 Streaming Integrator distribution with updates from the Docker image, issue the following command.

docker pull -it wso2/streaming-integrator:1.0.0
Expose the required ports via docker when running the docker container. In this scenario, you need to expose the following ports:
- The 9443 port where the Streaming Integrator server is run.
- The 8006 HTTP port from which Siddhi application you are deploying in this scenario receives messages.
To expose these ports, issue the following command.

docker run -p 9443:9443 -p 8006:8006 wso2/streaming-integrator/1.0.0 -v <local-absolute-siddhi-file-path>/MySimpleApp.siddhi:/apps/MySimpleApp.siddhi siddhiio/siddhi-runner-alpine -Dapps=/apps/MySimpleApp.siddhi

Info

In the above command, you are mounting the location where you have saved the MySimpleApp.siddhi file so that the Streaming Integrator can locate it and run it when it starts in Docker. Therefore, replace <local-absolute-siddhi-file-path> with the path in which you saved the Siddhi application in your machine.
If you did not mount the location to the MySimpleApp.siddhi file when issuing the command to start the Streaming Integrator, you can deploy the Siddhi application via the Streaming Integrator tool.
Click here for detailed instructions.
1. Start and access the Streaming Integrator Tooling. Open a new file and copy-paste the MySimpleApp.siddhi Siddhi application in the Source View.
  Then save the Siddhi application.
2. To deploy the Siddhi application, click the Deploy menu option and then click Deploy to Server. The Deploy Siddhi Apps to Server dialog box opens as shown in the example below.
  1. In the Add New Server section, enter information as follows:
    
    Then click Add.
  2. Select the check boxes for the MySimpleApp Siddhi application and the server you added as shown below.
  3. Click Deploy.
    When the Siddhi application is successfully deployed, the following message appears in the Deploy Siddhi Apps to Server dialog box.
    
    The following is logged in the console in which you started the Streaming Integrator in Docker.

Now the Streaming Integrator has started in the Docker environment.

Creating and deploying the Siddhi application¶

Let's create a simple Siddhi application that receives an HTTP message, does a simple transformation to the message, and then logs it in the SI console.

Trying-out the Siddhi application¶

To try out the MySimpleApp Siddhi application you deployed in Docker, issue the following CURL command.

curl -X POST -d "{\"event\": {\"name\":\"sugar\",\"amount\": 20.5}}"  http://0.0.0.0:8006/productionStream --header "Content-Type:application/json"

The following output appears in the console in which you started the Streaming Integrator in Docker.

HTTP Response

Running the Streaming Integrator with Kubernetes¶

In this section, you get to start and run the Streaming Integrator in a Kubernetes cluster in 5 minutes.

Before you begin:

Create a Kubernetes cluster. In this quick start guide, you can do this via Minikube as follows.
1. Install Minikube and start a cluster by following the Minikube Documentation.
2. Enable ingress on Minikube by issuing the following command.
  minikube addons enable ingress
Make sure that you have admin privileges to install the Siddhi operator.

Installing the Siddhi Operator for the Streaming Integrator¶

To install the Siddhi Operator, follow the procedure below:

To install the Siddhi Kubernetes operator for streaming integrator issue the following commands:

kubectl apply -f https://github.com/wso2/streaming-integrator/releases/download/v1.0.0-m1/00-prereqs.yaml

kubectl apply -f https://github.com/wso2/streaming-integrator/releases/download/v1.0.0-m1/01-siddhi-operator.yaml
To verify whether the Siddhi operator is successfully installed, issue the following command.

kubectl get deployment

If the installation is successful, the following deployments should be running in the Kubernetes cluster.

Deploying Siddhi applications in Kubernetes¶

You can deploy multiple Siddhi applications in one or more selected containers via Kubernetes. In this example, let's deploy just one Siddhi application in one container for the ease of understanding how to run the Streaming Integrator in a Kubernetes cluster.

First, let's design a simple Siddhi application that consumes events via HTTP to detect power surges. It filters events for a specific device type (i.e., dryers) and that also report a value greater than 600 for power.

    @App:name("PowerSurgeDetection")
    @App:description("App consumes events from HTTP as a JSON message of { 'deviceType': 'dryer', 'power': 6000 } format and inserts the events into DevicePowerStream, and alerts the user if the power level is greater than or equal to 600W by printing a message in the log.")
    /*
        Input: deviceType string and powerConsuption int(Watt)
        Output: Alert user from printing a log, if there is a power surge in the dryer. In other words, notify when power is greater than or equal to 600W.
    */


    @source(
      type='http',
      receiver.url='${RECEIVER_URL}',
      basic.auth.enabled='false',
      @map(type='json')
    )

    define stream DevicePowerStream(deviceType string, power int);

    @sink(type='log', prefix='LOGGER')
    define stream PowerSurgeAlertStream(deviceType string, power int);

    @info(name='surge-detector')
    from DevicePowerStream[deviceType == 'dryer' and power >= 600]
    select deviceType, power
    insert into PowerSurgeAlertStream;

The above Siddhi application needs to be deployed via a YAML file. Therefore, enter basic information for the YAML file and include the Siddhi application in a section named spec as shown below.

apiVersion: siddhi.io/v1alpha2
kind: SiddhiProcess
metadata:
  name: streaming-integrator
spec:
  apps:
    - script: |
        @App:name("PowerSurgeDetection")
        @App:description("App consumes events from HTTP as a JSON message of { 'deviceType': 'dryer', 'power': 6000 } format and inserts the events into DevicePowerStream, and alerts the user if the power level is greater than or equal to 600W by printing a message in the log.")
        /*
            Input: deviceType string and powerConsuption int(Watt)
            Output: Alert user from printing a log, if there is a power surge in the dryer. In other words, notify when power is greater than or equal to 600W.
        */

        @source(
          type='http',
          receiver.url='${RECEIVER_URL}',
          basic.auth.enabled='false',
          @map(type='json')
        )
        define stream DevicePowerStream(deviceType string, power int);
        @sink(type='log', prefix='LOGGER')
        define stream PowerSurgeAlertStream(deviceType string, power int);
        @info(name='surge-detector')
        from DevicePowerStream[deviceType == 'dryer' and power >= 600]
        select deviceType, power
        insert into PowerSurgeAlertStream;

Add a section named `container' and and parameters with values to configure the container in which the Siddhi application is to be deployed.
```
container:
env:
  -
    name: RECEIVER_URL
    value: "http://0.0.0.0:8080/checkPower"
  -
    name: BASIC_AUTH_ENABLED
    value: "false"
```
Here, you are specifying that Siddhi applications running within the container should receive events to the http://0.0.0.0:8080/checkPower URL and basic authentication is not enabled for them.

Add a runner section and add configurations related to authorization such as users and roles. For this example, you can configure this section as follows.

runner: |
auth.configs:
  type: 'local'        # Type of the IdP client used
  userManager:
    adminRole: admin   # Admin role which is granted all permissions
    userStore:         # User store
      users:
      -
        user:
          username: root
          password: YWRtaW4=
          roles: 1
      roles:
      -
        role:
          id: 1
          displayName: root
  restAPIAuthConfigs:
    exclude:
      - /simulation/*
      - /stores/*

To view the complete file, click here.

apiVersion: siddhi.io/v1alpha2
kind: SiddhiProcess
metadata:
  name: streaming-integrator-app
spec:
  apps:
    - script: |
        @App:name("PowerSurgeDetection")
        @App:description("App consumes events from HTTP as a JSON message of { 'deviceType': 'dryer', 'power': 6000 } format and inserts the events into DevicePowerStream, and alerts the user if the power level is greater than or equal to 600W by printing a message in the log.")
        /*
            Input: deviceType string and powerConsuption int(Watt)
            Output: Alert user from printing a log, if there is a power surge in the dryer. In other words, notify when power is greater than or equal to 600W.
        */

        @source(
          type='http',
          receiver.url='${RECEIVER_URL}',
          basic.auth.enabled='false',
          @map(type='json')
        )
        define stream DevicePowerStream(deviceType string, power int);
        @sink(type='log', prefix='LOGGER')
        define stream PowerSurgeAlertStream(deviceType string, power int);
        @info(name='surge-detector')
        from DevicePowerStream[deviceType == 'dryer' and power >= 600]
        select deviceType, power
        insert into PowerSurgeAlertStream;
  container:
    env:
      -
        name: RECEIVER_URL
        value: "http://0.0.0.0:8080/checkPower"
      -
        name: BASIC_AUTH_ENABLED
        value: "false"

  runner: |
    auth.configs:
      type: 'local'        # Type of the IdP client used
      userManager:
        adminRole: admin   # Admin role which is granted all permissions
        userStore:         # User store
          users:
          -
            user:
              username: root
              password: YWRtaW4=
              roles: 1
          roles:
          -
            role:
              id: 1
              displayName: root
      restAPIAuthConfigs:
        exclude:
          - /simulation/*
          - /stores/*

Save the file as siddhi-process.yaml in a preferred location
To apply the configurations in this YAML file to the Kubernetes cluster, issue the following command.

kubectl apply -f <PATH_to_siddhi-process.yaml>

Info

This file overrules the configurations in the <SI_HOME>|<SI_TOOLING_HOME>/conf/server/deployment.yaml file.

Invoking the Siddhi application¶

To invoke the PowerSurgeDetection Siddhi application that you deployed in the Kubernetes cluster, follow the steps below.

First, get the external IP of minikube by issuing the following command.

minikube ip

Add the IP it returns to the /etc/hosts file in your machine.

Issue the following CURL command to invoke the PowerSurgeDetection Siddhi application.

curl -X POST \
  http://siddhi/streaming-integrator-0/8080/checkPower \
    -H 'Accept: */*' \
    -H 'Content-Type: application/json' \
    -H 'Host: siddhi' \
    -d '{
        "deviceType": "dryer",
        "power": 600
        }'

To monitor the associated logs for the above siddhi application, get a list of the available pods by issuing the following command.

`kubectl get pods'

This returns the list of pods as shown in the example below.

NAME                                        READY    STATUS    RESTARTS    AGE
streaming-integrator-app-0-b4dcf85-npgj7     1/1     Running      0        165m
streaming-integrator-5f9fcb7679-n4zpj        1/1     Running      0        173m

To monitor the logs for the required pod, issue a command similar to the following. In this example, the pod to be monitored is streaming-integrator-app-0-b4dcf85-npgj7.

streaming-integrator-app-0-b4dcf85-npgj7

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