Files
seaweedfs/.github/workflows/s3-spark-tests.yml
T
Chris Lu caadd6ca79 ci(s3tables): stop Lakekeeper flaking on Docker Hub pull timeouts (#9920)
* ci(s3tables): drop docker pre-pull from Lakekeeper job

The lakekeeper repro is pure Go against the local weed binary; the job
kept failing on Docker Hub timeouts pulling python:3 and localstack
images the test never runs. Also drop the stale python-in-docker
comments left from the old harness.

* ci(s3tables): serve python:3 from GHA cache in the STS job

Retried pulls still die when both mirror.gcr.io and registry-1.docker.io
are unreachable from the runner. Cache the saved image tarball under a
weekly key: an exact hit skips the registry entirely, a miss pulls fresh
and refreshes the cache, and a stale tarball from a previous week is the
fallback when Docker Hub is down.

* ci(spark): pre-pull the spark tag the test actually runs

The workflow warmed apache/spark:3.5.8 with retries while the
testcontainers setup runs apache/spark:3.5.1, so the real image was
pulled at test time with no retry at all.
2026-06-10 13:26:30 -07:00

86 lines
2.2 KiB
YAML

name: "S3 Spark Integration Tests"
on:
pull_request:
paths:
- 'weed/s3api/**'
- 'weed/filer/**'
- 'test/s3/spark/**'
- 'test/s3tables/testutil/**'
- '.github/workflows/s3-spark-tests.yml'
workflow_dispatch:
concurrency:
group: ${{ github.head_ref }}/s3-spark-tests
cancel-in-progress: true
permissions:
contents: read
jobs:
s3-spark-issue-repro-tests:
name: S3 Spark Issue Reproduction Tests
runs-on: ubuntu-22.04
timeout-minutes: 45
steps:
- name: Check out code
uses: actions/checkout@v6
- name: Set up Go
uses: actions/setup-go@v6
with:
go-version-file: 'go.mod'
id: go
- name: Configure Docker Hub mirror
run: |
echo '{"registry-mirrors": ["https://mirror.gcr.io"]}' | sudo tee /etc/docker/daemon.json
sudo systemctl restart docker
- name: Install SeaweedFS
run: |
go install -buildvcs=false ./weed
- name: Pre-pull Spark image
run: |
pull() { for i in 1 2 3; do docker pull "$1" && return 0; sleep 15; done; return 1; }
pull apache/spark:3.5.1
- name: Run S3 Spark integration tests
working-directory: test/s3/spark
timeout-minutes: 35
run: |
set -x
set -o pipefail
echo "=== System Information ==="
uname -a
free -h
df -h
echo "=== Starting S3 Spark Integration Tests ==="
go test -v -timeout 30m . 2>&1 | tee test-output.log || {
echo "S3 Spark integration tests failed"
exit 1
}
- name: Show test output on failure
if: failure()
working-directory: test/s3/spark
run: |
echo "=== Test Output ==="
if [ -f test-output.log ]; then
tail -200 test-output.log
fi
echo "=== Process information ==="
ps aux | grep -E "(weed|test|docker|spark)" || true
- name: Upload test logs on failure
if: failure()
uses: actions/upload-artifact@v7
with:
name: s3-spark-test-logs
path: test/s3/spark/test-output.log
retention-days: 3