Adding Datafusion Ray tests on an Kind cluster using the Helm chart #30
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| # Licensed to the Apache Software Foundation (ASF) under one | |
| # or more contributor license agreements. See the NOTICE file | |
| # distributed with this work for additional information | |
| # regarding copyright ownership. The ASF licenses this file | |
| # to you under the Apache License, Version 2.0 (the | |
| # "License"); you may not use this file except in compliance | |
| # with the License. You may obtain a copy of the License at | |
| # | |
| # http:/www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, | |
| # software distributed under the License is distributed on an | |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | |
| # KIND, either express or implied. See the License for the | |
| # specific language governing permissions and limitations | |
| # under the License. | |
| name: Kubernetes | |
| on: | |
| push: | |
| pull_request: | |
| env: | |
| RAY_HELM_VERSION: 1.1.0 | |
| PYTHON_VERSION: 3.9 | |
| IMAGE_REPOSITORY: ghcr.io/apache/datafusion-ray | |
| jobs: | |
| build: | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v3 | |
| - name: Docker meta | |
| id: meta | |
| uses: docker/metadata-action@v5 | |
| with: | |
| images: | | |
| ${{ env.IMAGE_REPOSITORY }} | |
| tags: | | |
| type=ref,event=branch | |
| type=ref,event=pr | |
| type=semver,pattern={{version}} | |
| type=semver,pattern={{major}}.{{minor}} | |
| type=semver,pattern={{major}} | |
| type=sha | |
| - name: Set up Docker Buildx | |
| uses: docker/setup-buildx-action@v3 | |
| - name: Log in to GitHub Container Registry | |
| if: startsWith(github.ref, 'refs/tags/') | |
| uses: docker/login-action@v3 | |
| with: | |
| registry: ghcr.io | |
| username: ${{ github.actor }} | |
| password: ${{ secrets.GITHUB_TOKEN }} | |
| - name: Build and push Docker image | |
| uses: docker/build-push-action@v6 | |
| with: | |
| context: . | |
| file: ./k8s/Dockerfile | |
| tags: ${{ steps.meta.outputs.tags }} | |
| labels: ${{ steps.meta.outputs.labels }} | |
| push: ${{ startsWith(github.ref, 'refs/tags/') }} | |
| load: true | |
| - name: Kind Cluster | |
| uses: helm/[email protected] | |
| with: | |
| config: ./k8s/kind-config.yaml | |
| - name: Free Disk Space (Ubuntu) | |
| uses: jlumbroso/[email protected] | |
| with: | |
| # this might remove tools that are actually needed, | |
| # when set to "true" but frees about 6 GB | |
| tool-cache: true | |
| docker-images: false | |
| - name: Extract short SHA | |
| run: | | |
| SHORT_SHA=$(echo "${GITHUB_SHA}" | cut -c1-7) | |
| echo "IMAGE_TAG=sha-${SHORT_SHA}" >> "$GITHUB_ENV" | |
| echo "Extracted short SHA tag: sha-${SHORT_SHA}" | |
| - name: Load Docker image into Kind cluster | |
| run: | | |
| kind load docker-image ${{ env.IMAGE_REPOSITORY }}:${{ env.IMAGE_TAG }} -n chart-testing | |
| - name: Install Helm | |
| uses: azure/[email protected] | |
| with: | |
| version: "3.16.0" | |
| - name: Deploy helm chart | |
| run: | | |
| helm repo add kuberay https://ray-project.github.io/kuberay-helm/ | |
| helm install kuberay-operator kuberay/kuberay-operator --version ${{ env.RAY_HELM_VERSION }} | |
| helm install raycluster kuberay/ray-cluster --version ${{ env.RAY_HELM_VERSION }} \ | |
| --set image.repository=${{ env.IMAGE_REPOSITORY }} \ | |
| --set image.tag=${{ env.IMAGE_TAG }} \ | |
| --set imagePullPolicy=Always | |
| echo "Deployed Ray cluster with image repository: ${{ env.IMAGE_REPOSITORY }} and tag: ${{ env.IMAGE_TAG }}" | |
| - name: Set up Python | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: ${{ env.PYTHON_VERSION }} | |
| - name: Install python dependencies | |
| run: | | |
| python -m pip install --upgrade pip | |
| pip install -r requirements-in.txt | |
| - name: Submit an example ray Job | |
| run: | | |
| kubectl port-forward service/raycluster-kuberay-head-svc 8265:8265 & | |
| export RAY_ADDRESS="http://127.0.0.1:8265" | |
| pip install "ray[default]" | |
| ray job submit --working-dir ./examples/ -- python3 tips.py |