mirror of
https://github.com/seaweedfs/seaweedfs.git
synced 2026-10-25 14:30:43 +01:00
Chris LuandDevin
34c7bd03ad
* ci(s3tables): tolerate stale FUSE mounts in disk diagnostics * ci(s3tables): bound df diagnostics with timeout, explain once A stale FUSE mount can also hang statfs, not just fail it, so wrap df in timeout 15; one comment at the first site covers all sixteen. * ci: tolerate stale FUSE mounts in df diagnostics elsewhere The same self-hosted runners serve the other workflow files; a bare df -h there can stall or fail a job the same way. * ci: unmount disconnected FUSE test mounts before jobs start * ci: skip FUSE cleanup when the variant checkout is skipped * ci: reclaim the crashed run's test dir once its stale FUSE mount is detached * ci: stop tracking python bytecode for the FUSE cleanup action The helper's __pycache__ slipped into the tree; ignore it so local test runs cannot re-add it. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: run the FUSE cleanup action's unit tests on action changes test_cleanup.py was never wired into CI, so a regression in cleanup.py would ship silently. A path-filtered workflow runs it on every change under .github/actions/. Generated with [Devin](https://devin.ai) Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: match every FUSE test mount layout in the cleanup action The candidates list only matched seaweedfs_fuse_test_*/mount, so stale mounts left by fuse_failover and fuse_p2p runs (mountN leaves under seaweedfs_fuse_* dirs) and the posix-compliance workflow's fixed /tmp/seaweedfs/mount were never reclaimed and could still wedge df. * ci: run the FUSE mount cleanup in the fuse_failover and fuse_p2p workflows --------- Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
90 lines
2.6 KiB
YAML
90 lines
2.6 KiB
YAML
name: "S3 Spark Integration Tests"
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on:
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pull_request:
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paths:
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- 'weed/s3api/**'
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- 'weed/filer/**'
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- 'test/s3/spark/**'
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- 'test/s3tables/testutil/**'
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- '.github/workflows/s3-spark-tests.yml'
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workflow_dispatch:
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concurrency:
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group: ${{ github.workflow }}-${{ github.event.pull_request.number || (github.event_name == 'push' && github.ref) || github.run_id }}
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cancel-in-progress: ${{ github.event_name == 'pull_request' || (github.event_name == 'push' && !startsWith(github.ref, 'refs/tags/')) }}
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permissions:
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contents: read
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jobs:
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s3-spark-issue-repro-tests:
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name: S3 Spark Issue Reproduction Tests
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runs-on: ubuntu-22.04
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timeout-minutes: 45
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steps:
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- name: Check out code
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uses: actions/checkout@v7
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- name: Clean up stale FUSE mounts
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uses: ./.github/actions/cleanup-stale-fuse-mounts
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- name: Set up Go
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uses: actions/setup-go@v7
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with:
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go-version-file: 'go.mod'
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cache: ${{ runner.environment == 'github-hosted' }}
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id: go
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- name: Configure Docker Hub mirror
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run: |
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echo '{"registry-mirrors": ["https://mirror.gcr.io"]}' | sudo tee /etc/docker/daemon.json
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sudo systemctl restart docker
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- name: Install SeaweedFS
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run: |
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go install -buildvcs=false ./weed
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- name: Pre-pull Spark image
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run: |
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pull() { for i in 1 2 3; do docker pull "$1" && return 0; sleep 15; done; return 1; }
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pull apache/spark:3.5.1
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- name: Run S3 Spark integration tests
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working-directory: test/s3/spark
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timeout-minutes: 35
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run: |
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set -x
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set -o pipefail
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echo "=== System Information ==="
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uname -a
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free -h
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timeout 15 df -h || true
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echo "=== Starting S3 Spark Integration Tests ==="
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go test -v -timeout 30m . 2>&1 | tee test-output.log || {
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echo "S3 Spark integration tests failed"
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exit 1
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}
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- name: Show test output on failure
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if: failure()
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working-directory: test/s3/spark
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run: |
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echo "=== Test Output ==="
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if [ -f test-output.log ]; then
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tail -200 test-output.log
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fi
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echo "=== Process information ==="
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ps aux | grep -E "(weed|test|docker|spark)" || true
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- name: Upload test logs on failure
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if: failure()
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uses: actions/upload-artifact@v7
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with:
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name: s3-spark-test-logs
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path: test/s3/spark/test-output.log
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retention-days: 3
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