1. Deploy the databend-query helm chart on Kubernetes


    Deploying a Helm chart to a Kubernetes cluster is a common task that can be easily achieved using Pulumi's Kubernetes provider. Helm charts help define, install, and upgrade even the most complex Kubernetes applications. databend-query is such a Helm chart that can be deployed to a Kubernetes cluster for a cloud-native and performance-sensitive data warehouse.

    Below is a program written in TypeScript that uses Pulumi to deploy the databend-query Helm chart to an existing Kubernetes cluster. The program assumes that you have already configured Pulumi with access to your Kubernetes cluster, either via a kubeconfig file or a cloud provider’s Kubernetes service.

    First, you'll need to import the necessary Pulumi and Kubernetes packages. After that, you'll create a new Helm chart resource, specifying the databend-query chart and any required configuration options such as values, version, and namespace.

    Here is the Pulumi program that demonstrates this:

    import * as k8s from "@pulumi/kubernetes"; // This is the name of the Kubernetes namespace where the Helm chart will be deployed. // If this namespace does not exist, you'll need to create it using k8s.core.v1.Namespace or change it to an existing one. const namespace = "default"; // Here we define the Helm chart deployment for databend-query. const databendQueryChart = new k8s.helm.v3.Chart("databend-query", { // Assuming the Helm chart is available in a public Helm chart repository, // you'd specify the repo URL here, and also ensure your Helm CLI is configured to access this repository. repo: "databend-query-repository", // This is a placeholder. Replace with the actual Helm chart repo name. chart: "databend-query", version: "0.1.0", // Replace with the actual chart version you want to deploy. namespace: namespace, // Values here are the configurations that you want to override in the default chart values. // This might include things such as storage options, service type, resource limits, etc. // This is an empty object, so no overrides are applied. Update with actual values if needed. values: { // Provide specific configuration values here. An example might be: // replicaCount: 3, }, }, { // Dependency on namespace if it is created as part of the same Pulumi program, to ensure correct ordering. // If the namespace resource is called `namespaceResource`, you would include it as follows: // dependsOn: [namespaceResource] }); // Export the Helm chart deployment's name export const chartName = databendQueryChart.metadata.apply(metadata => metadata.name);

    In the code block above:

    • We first import the Pulumi Kubernetes library.
    • We define the namespace to deploy the Helm chart to. Kubernetes namespaces are a way for you to divide cluster resources between multiple users.
    • databendQueryChart is the instance of the Helm chart resource for our application. Replace the repo and version fields with the appropriate values for the databend-query chart from your Helm chart repository.
    • The values field is a JavaScript object that allows you to override values in the Helm chart's values.yaml. The ones provided here are just placeholders, and you should replace them with configurations specific to your deployment needs.
    • The 'dependsOn' option allows us to specify explicit dependencies on other resources (if there are any). If the namespace is not pre-existing and needs to be created in the Pulumi program, it should be specified as a dependency to ensure correct creation order.

    Please make sure that databend-query-repository is replaced with the actual repository where the Helm chart is located and that the version reflects the desired version of the chart you wish to deploy.

    After you set up the Pulumi program, running pulumi up will execute it, and Pulumi will handle the deployment of the databend-query chart to your Kubernetes cluster.

    Remember to check the official documentation of the databend-query chart for any specific configuration required and update the values object in the code accordingly. This Pulumi program is the foundational step, and individual configurations will vary based on your exact requirements.