feat(ingestion/mlflow): improve mlflow connector to pull run and experiments #31956
docker-unified.yml
on: pull_request
setup
2m 20s
Build and Push DataHub Ingestion (Base) Docker Image
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Build and Push DataHub Elasticsearch Setup Docker Image
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Build and Push DataHub MAE Consumer Docker Image
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Build and Push DataHub MCE Consumer Docker Image
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Build and Push DataHub Ingestion (Base-Full) Docker Image
2m 8s
Build and Push DataHub Ingestion (Base-Slim) Docker Image
35s
[Monitoring] Scan DataHub Upgrade images for vulnerabilities
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[Monitoring] Scan ElasticSearch setup images for vulnerabilities
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[Monitoring] Scan Frontend images for vulnerabilities
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[Monitoring] Scan GMS images for vulnerabilities
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[Monitoring] Scan Kafka Setup images for vulnerabilities
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[Monitoring] Scan MAE consumer images for vulnerabilities
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[Monitoring] Scan MCE consumer images for vulnerabilities
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[Monitoring] Scan MySQL Setup images for vulnerabilities
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Build and Push DataHub Ingestion (Full) Docker Images
5m 34s
Build and Push DataHub Ingestion Docker Images
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[Monitoring] Scan Datahub Ingestion images for vulnerabilities
4m 28s
Matrix: Run Smoke Tests
[Monitoring] Scan Datahub Ingestion Slim images for vulnerabilities
3m 12s
Deploy to Datahub HEAD
0s
Annotations
1 error
Run Smoke Tests (cypress, 5, 3)
Process completed with exit code 1.
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Test Results (smoke tests) cypress 1
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Test Results (smoke tests) cypress 2
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Test Results (smoke tests) cypress 3
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Test Results (smoke tests) cypress 4
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Test Results (smoke tests) pytests 0
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Test Results (smoke tests) pytests 1
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Test Results (smoke tests) pytests 2
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action_image_artifact_acryldata_datahub-ingestion_pr12587
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action_image_artifact_acryldata_datahub-ingestion_pr12587-slim
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cypress-snapshots-cypress-3
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datahub-project~datahub~7ZXU3V.dockerbuild
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datahub-project~datahub~QMKZ7F.dockerbuild
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docker-logs-cypress-3
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