feat(backend): Add new PDL entities + models for persona capture #17053
docker-unified.yml
on: pull_request
setup
11s
Build and Push DataHub Ingestion (Base) Docker Image
10s
Build and Push DataHub MAE Consumer Docker Image
5m 2s
Build and Push DataHub MCE Consumer Docker Image
5m 15s
Build and Push DataHub Kafka Setup Docker Image
0s
Build and Push DataHub MySQL Setup Docker Image
0s
Build and Push DataHub Elasticsearch Setup Docker Image
0s
smoke_test_matrix
0s
Build and Push DataHub Ingestion (Base-Full) Docker Image
9s
Build and Push DataHub Ingestion (Base-Slim) Docker Image
12s
[Monitoring] Scan DataHub Upgrade images for vulnerabilities
54s
[Monitoring] Scan Frontend images for vulnerabilities
0s
[Monitoring] Scan GMS images for vulnerabilities
48s
[Monitoring] Scan MAE consumer images for vulnerabilities
57s
[Monitoring] Scan MCE consumer images for vulnerabilities
54s
Build and Push DataHub Ingestion (Full) Docker Images
13m 45s
Build and Push DataHub Ingestion Docker Images
9m 24s
[Monitoring] Scan Datahub Ingestion images for vulnerabilities
1m 0s
Matrix: Run Smoke Tests
[Monitoring] Scan Datahub Ingestion Slim images for vulnerabilities
1m 2s
Deploy to Datahub HEAD
0s
Annotations
30 warnings and 6 notices
Artifacts
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Test Results (smoke tests) cypress_rest
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Test Results (smoke tests) cypress_suite1
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Test Results (smoke tests) no_cypress_suite0
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Test Results (smoke tests) no_cypress_suite1
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action_image_artifact_acryldata_datahub-ingestion_pr9637
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action_image_artifact_acryldata_datahub-ingestion_pr9637-slim
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2.5 GB |
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action_image_artifact_acryldata_datahub-upgrade_pr9637
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action_image_artifact_linkedin_datahub-gms_pr9637
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action_image_artifact_linkedin_datahub-mae-consumer_pr9637
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473 MB |
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action_image_artifact_linkedin_datahub-mce-consumer_pr9637
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476 MB |
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