dispatch job #379
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| name: dispatch job | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| repo: | |
| description: 'The https github url for the recipe feedstock' | |
| required: true | |
| ref: | |
| description: 'The tag or branch to target in your recipe repo' | |
| required: true | |
| default: 'main' | |
| feedstock_subdir: | |
| description: 'The subdir of the feedstock directory in the repo' | |
| required: true | |
| default: 'feedstock' | |
| spark_params: | |
| description: 'space delimited --conf values: https://docs.aws.amazon.com/emr/latest/EMR-Serverless-UserGuide/jobs-spark.html' | |
| required: true | |
| default: '--conf spark.executor.cores=16 --conf spark.executor.memory=60G --conf spark.executor.memoryOverhead=60G --conf spark.driver.memory=10G --conf spark.driver.memoryOverhead=4G --conf spark.shuffle.file.buffer=64k --conf spark.default.parallelism=1280 --conf spark.emr-serverless.executor.disk=200G --conf spark.hadoop.hive.metastore.client.factory.class=com.amazonaws.glue.catalog.metastore.AWSGlueDataCatalogHiveClientFactory --conf spark.emr-serverless.driverEnv.JAVA_HOME=/usr/lib/jvm/java-17-amazon-corretto.x86_64/ --conf spark.executorEnv.JAVA_HOME=/usr/lib/jvm/java-17-amazon-corretto.x86_64/' | |
| job_name: | |
| description: 'Name the EMR job' | |
| required: true | |
| permissions: | |
| id-token: write # This is required for requesting the JWT | |
| contents: read # This is required for actions/checkout | |
| jobs: | |
| name-job: | |
| runs-on: ubuntu-latest | |
| outputs: | |
| repo_name: ${{ steps.string_manipulation.outputs.result }} | |
| steps: | |
| - name: manipuluate strings | |
| id: string_manipulation | |
| run: | | |
| repo_name=$(basename -s .git "${{ github.event.inputs.repo }}") | |
| echo "result=$repo_name" >> $GITHUB_OUTPUT | |
| run-job: | |
| if: contains('["ranchodeluxe","abarciauskas-bgse", "norlandrhagen", "sharkinsspatial", "moradology", "thodson-usgs"]', github.actor) | |
| name: kickoff job ${{ needs.name-job.outputs.repo_name }}@${{ github.event.inputs.ref }} | |
| needs: name-job | |
| environment: veda-smce | |
| outputs: | |
| job_name: ${{ steps.report_ids.outputs.job_name }} | |
| job_id: ${{ steps.report_ids.outputs.job_id }} | |
| runs-on: ubuntu-latest | |
| steps: | |
| - name: checkout repository | |
| uses: actions/checkout@v3 | |
| - name: configure aws credentials | |
| uses: aws-actions/configure-aws-credentials@v3 | |
| with: | |
| role-to-assume: arn:aws:iam::444055461661:role/github-actions-role-eodc | |
| role-session-name: veda-pforge-run-job | |
| role-duration-seconds: 3600 | |
| aws-region: us-west-2 | |
| - name: set up python 3.10 and cache pip deps | |
| uses: actions/setup-python@v3 | |
| with: | |
| python-version: '3.10' | |
| cache: 'pip' # caching pip dependencies | |
| - run: pip install -r .github/workflows/requirements.txt | |
| - name: echo inputs to user | |
| run: | | |
| echo "Manually triggered workflow": \ | |
| ${{ github.event.inputs.repo }} \ | |
| ${{ github.event.inputs.ref }} \ | |
| ${{ github.event.inputs.feedstock_subdir}} \ | |
| ${{ github.event.inputs.parallelism }} | |
| - name: install zip | |
| uses: montudor/action-zip@v1 | |
| - name: submit job to emr serverless | |
| id: executejob | |
| continue-on-error: true | |
| run: | | |
| # TODO: make submit_spark_job.py or some other config.py checkout, build env and package on s3 | |
| # before submission | |
| python .github/workflows/submit_spark_job.py \ | |
| --name=${{ github.event.inputs.job_name }} \ | |
| --application-id="00firgpmjusj5e0l" \ | |
| --execution-role-arn="arn:aws:iam::444055461661:role/veda-data-reader-dev" \ | |
| --entry-point="s3://veda-pforge-emr-input-scripts-v4/runwrapper.py" \ | |
| --entry-point-arguments="${{ github.event.inputs.repo }} ${{ github.event.inputs.ref }} ${{ github.event.inputs.feedstock_subdir }}" \ | |
| --spark-submit-parameters="${{ github.event.inputs.spark_params }}" | |
| env: | |
| REPO: ${{ github.event.inputs.repo }} | |
| REF: ${{ github.event.inputs.ref }} | |
| FEEDSTOCK_SUBDIR: ${{ github.event.inputs.feedstock_subdir }} | |
| PARALLELISM_OPTION: ${{ github.event.inputs.parallelism }} | |
| JOB_NAME: ${{ github.event.inputs.job_name }} | |
| - name: cleanup if submission failed | |
| if: steps.executejob.outcome == 'failure' | |
| run: | | |
| echo "The previous command failed. Running cleanup logic..." | |
| # force GH action to show failed result | |
| exit 128 | |
| - name: echo job metadata | |
| id: report_ids | |
| run: | | |
| echo '############ CW DASHBOARD ################' | |
| echo "https://us-west-2.console.aws.amazon.com/cloudwatch/home?region=us-west-2#dashboards/dashboard/veda-pangeo-forge-emr-jobs" | |
| echo '############ JOB ID and JOB DASHBOARD ################' | |
| python .github/workflows/submit_spark_job.py \ | |
| --name="whatever" \ | |
| --application-id="00firgpmjusj5e0l" \ | |
| --execution-role-arn="arn:aws:iam::444055461661:role/veda-data-reader-dev" \ | |
| --entry-point="s3://veda-pforge-emr-input-scripts-v4/runwrapper.py" \ | |
| --workflow="getjob" | |
| # monitor-job: | |
| # runs-on: ubuntu-latest | |
| # name: monitor job ${{ needs.name-job.outputs.repo_name }}@${{ github.event.inputs.ref }} | |
| # environment: veda-smce | |
| # needs: [name-job, run-job] | |
| # steps: | |
| # - name: Configure AWS credentials | |
| # uses: aws-actions/configure-aws-credentials@v3 | |
| # with: | |
| # role-to-assume: arn:aws:iam::444055461661:role/github-actions-role-eodc | |
| # role-session-name: veda-pforge-monitor-job | |
| # role-duration-seconds: 43200 # note this has to match our timeout-minutes below for monitoring | |
| # aws-region: us-west-2 |