feat(ingest/mlflow): add dataset lineage #32400
docker-unified.yml
on: pull_request
setup
16s
Build and Push DataHub Ingestion (Base) Docker Image
29s
Build and Push DataHub Elasticsearch Setup Docker Image
0s
Build and Push DataHub MAE Consumer Docker Image
0s
Build and Push DataHub MCE Consumer Docker Image
0s
Build and Push DataHub Ingestion (Base-Full) Docker Image
1m 19s
Build and Push DataHub Ingestion (Base-Slim) Docker Image
33s
[Monitoring] Scan DataHub Upgrade images for vulnerabilities
0s
[Monitoring] Scan ElasticSearch setup images for vulnerabilities
0s
[Monitoring] Scan Frontend images for vulnerabilities
0s
[Monitoring] Scan GMS images for vulnerabilities
0s
[Monitoring] Scan Kafka Setup images for vulnerabilities
0s
[Monitoring] Scan MAE consumer images for vulnerabilities
0s
[Monitoring] Scan MCE consumer images for vulnerabilities
0s
[Monitoring] Scan MySQL Setup images for vulnerabilities
0s
Build and Push DataHub Ingestion (Full) Docker Images
5m 25s
Build and Push DataHub Ingestion Docker Images
3m 26s
[Monitoring] Scan Datahub Ingestion images for vulnerabilities
4m 8s
Matrix: Run Smoke Tests
[Monitoring] Scan Datahub Ingestion Slim images for vulnerabilities
3m 17s
Deploy to Datahub HEAD
0s
Artifacts
Produced during runtime
Name | Size | |
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Test Results (smoke tests) pytests 0
|
1.79 KB |
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Test Results (smoke tests) pytests 1
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2.78 KB |
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Test Results (smoke tests) pytests 2
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1.68 KB |
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action_image_artifact_acryldata_datahub-ingestion_pr12837
|
954 MB |
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action_image_artifact_acryldata_datahub-ingestion_pr12837-slim
|
651 MB |
|
datahub-project~datahub~JSXG6J.dockerbuild
|
35.6 KB |
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datahub-project~datahub~NIZOPA.dockerbuild
|
52.5 KB |
|