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Using the events in GitHub for analysis can help you better understand the behavior of developer on GitHub. By analyzing data, you can draw various useful conclusions to support your business needs.

Concept​

About events in GitHub​

GitHub is a web-based hosting service that provides version control and collaboration features for software development projects. It allows users to create and store repositories for their projects, track changes to code, collaborate with others on coding projects, and contribute to open source software projects.

GitHub provides a number of features for tracking events related to your projects. These events include:

  1. Push events - occur when a user pushes code changes to a repository.
  2. Pull request events - occur when a user creates, updates, or closes a pull request.
  3. Issue events - occur when a user creates, updates, or closes an issue.
  4. Release events - occur when a user creates a new release of a project.
  5. Fork events - occur when a user forks a repository.
  6. Watch events - occur when a user starts or stops watching a repository.

GitHub also allows you to configure webhooks, which can be used to send notifications to external services when certain events occur in your repository. For example, you can configure a webhook to send a notification to a chat service when a pull request is created or updated.

Overall, GitHub provides a comprehensive set of features for tracking events related to your projects and collaborating with others on coding projects.

About Snowflake​

Snowflake is a cloud-based data warehousing and analytics platform that allows organizations to store, manage, and analyze large amounts of data in a scalable and cost-effective way.

One of the key features of Snowflake is its architecture, which separates compute and storage. This allows organizations to scale compute and storage resources independently, and pay only for the resources they use. Snowflake also supports both structured and semi-structured data, including JSON, Avro, Parquet, and ORC.

Snowflake also provides a number of built-in features and services for data warehousing and analytics.

Overall, Snowflake provides a modern and flexible solution for data warehousing and analytics in the cloud, with a focus on scalability, performance, and security.

Easy GitHub to Snowflake integration with Vanus​

Vanus’s open source connection allows you to integrate Vanus with your GitHub events to track event data and automatically send it to Snowflake.

Prerequisites​

  • GitHub: your open-source repository.
  • Snowflake: a working Snowflake account.
  • Go to Vanus Playground :an online K8s environment where Vanus can be deployed.

Step 1: Deploying Vanus​

  1. Login Vanus Playground.

  2. Refer to the Quick Start document to complete the Install Vanus & Install vsctl.

  3. Create an eventbus

    ~ # vsctl eventbus create --name github-snowflake
    +----------------+------------------+
    |     RESULT     |     EVENTBUS     |
    +----------------+------------------+
    | Create Success | github-snowflake |
    +----------------+------------------+

Step 2: Deploy the GitHub Source​

  1. Set config file. Create config.yml in any directory, the content is as follows:

    target: http://192.168.49.2:30002/gateway/github-snowflake
    port: 8082

  2. Run the GitHub Source

    docker run -it --rm --network=host \
      -v ${PWD}:/vanus-connect/config \
      --name source-github public.ecr.aws/vanus/connector/source-github > a.log &

  3. Create a webhook under the Settings tab in your GitHub repository.

    setting-github

    Payload URL*

    Go to GitHub-Twitter Scenario under Payload URL.

    http://ip10-1-53-4-cfie9skink*******0-8082.direct.play.linkall.com

    Content type

    application/json

    Which events would you like to trigger this webhook?

    Send me everything.

Step 3: Deploy the Snowflake Sink​

  1. Create a yml file named sink-snowflake.yml in the playground with the following command:

    cat << EOF > sink-snowflake.yml
    apiVersion: v1
    kind: Service
    metadata:
      name: sink-snowflake
      namespace: vanus
    spec:
      selector:
        app: sink-snowflake
      type: ClusterIP
      ports:
        - port: 8080
          name: sink-snowflake
    ---
    apiVersion: v1
    kind: ConfigMap
    metadata:
      name: sink-snowflake
      namespace: vanus
    data:
      config.yml: |-
        port: 8080
        snowflake:
          host: "myaccount.ap-northeast-1.aws.snowflakecomputing.com"
          username: "vanus_user"
          password: "snowflake"
          role: "ACCOUNTADMIN"
          warehouse: "xxxxxx"
          database: "VANUS_DB"
          schema: "public"
          table: "vanus_test"
    ---
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: sink-snowflake
      namespace: vanus
      labels:
        app: sink-snowflake
    spec:
      selector:
        matchLabels:
          app: sink-snowflake
      replicas: 1
      template:
        metadata:
          labels:
            app: sink-snowflake
        spec:
          containers:
            - name: sink-snowflake
              image: public.ecr.aws/vanus/connector/sink-snowflake
              imagePullPolicy: Always
              resources:
                requests:
                  memory: "128Mi"
                  cpu: "100m"
                limits:
                  memory: "128Mi"
                  cpu: "100m"
              ports:
                - name: http
                  containerPort: 8080
              volumeMounts:
                - name: config
                  mountPath: /vanus-connect/config
          volumes:
            - name: config
              configMap:
                name: sink-snowflake
    EOF

  2. Replace the config value with yours.

    host: "myaccount.ap-northeast-1.aws.snowflakecomputing.com"
    username: "vanus_user"
    password: "snowflake"
    role: "ACCOUNTADMIN"
    warehouse: "xxxxxx"
    database: "VANUS_DB"
    schema: "public"
    table: "vanus_test"

  3. Run snowflake sink in kubernetes.

    kubectl apply -f sink-snowflake.yaml

Step 4: Create subscription​

Through the deployment of the above parts, the components required to push GitHub events to Snowflake have been deployed. And GitHub events can be filtered and processed through the filter and transformer capabilities of Vanus.

  1. Through a filter, you can filter out other events and only post the GitHub events they are interested in. For example：StarEvent(CloudEvents Adapter specification).
  2. Create a subscription in Vanus, and set up a transformer to extract and edit key information.
vsctl subscription create  \
  --eventbus github-snowflake  \
  --sink 'http://sink-snowflake:8080'  \
  --filters '[
      { "exact": { "type": "com.github.star.created" } }
    ]'
  --transformer '{
      "define": {
         "login": "$.data.repository.owner.login",
         "star": "$.data.repository.stargazers_count",
         "repo": "$.data.repository.html_url"
         "sender":"$.data.sender.login",
         "time":"$.data.repository.updated_at"
      },
      "template": "{\"owner\": \"<login>\",\"star\":\"<star>\",\"repo\":\"<repo>\",\"sender\":\"<sender>\",\"time\":\"<time>\"}"
    }'

Step 5: Test​

Open the Snowflake console and use the following command to make sure Snowflake has the data.

select * from public.vanus_test;

Summary​

Snowflake provide a powerful platform for analyzing GitHub event data. By loading the data into Snowflake, creating tables, cleaning data, analyzing data, visualizing data, and drawing conclusions, you can get deep insights about the value of GitHub events and use those insights to optimize your business decisions.