build(deps): bump werkzeug from 2.2.3 to 2.3.8 in /docker/datahub-ingestion-base #68
docker-unified.yml
on: pull_request
setup
5s
Build and Push DataHub Ingestion (Base) Docker Image
2m 40s
Build and Push DataHub MAE Consumer Docker Image
8m 28s
Build and Push DataHub MCE Consumer Docker Image
5m 51s
Build and Push DataHub Kafka Setup Docker Image
2m 13s
Build and Push DataHub MySQL Setup Docker Image
1m 1s
Build and Push DataHub Elasticsearch Setup Docker Image
39s
Build and Push DataHub Ingestion (Base-Full) Docker Image
0s
Build and Push DataHub Ingestion (Base-Slim) Docker Image
0s
[Monitoring] Scan DataHub Upgrade images for vulnerabilities
53s
[Monitoring] Scan Frontend images for vulnerabilities
1m 14s
[Monitoring] Scan GMS images for vulnerabilities
49s
[Monitoring] Scan MAE consumer images for vulnerabilities
46s
[Monitoring] Scan MCE consumer images for vulnerabilities
50s
Build and Push DataHub Ingestion (Full) Docker Images
0s
[Monitoring] Scan Datahub Ingestion images for vulnerabilities
0s
[Monitoring] Scan Datahub Ingestion Slim images for vulnerabilities
0s
Matrix: Run Smoke Tests
Annotations
1 error and 45 warnings
Artifacts
Produced during runtime
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action_image_artifact_acryldata_datahub-mysql-setup_pr32
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94.1 MB |
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action_image_artifact_acryldata_datahub-upgrade_pr32
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498 MB |
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action_image_artifact_linkedin_datahub-elasticsearch-setup_pr32
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24.9 MB |
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action_image_artifact_linkedin_datahub-frontend-react_pr32
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834 MB |
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action_image_artifact_linkedin_datahub-gms_pr32
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433 MB |
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action_image_artifact_linkedin_datahub-kafka-setup_pr32
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547 MB |
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action_image_artifact_linkedin_datahub-mae-consumer_pr32
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436 MB |
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action_image_artifact_linkedin_datahub-mce-consumer_pr32
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440 MB |
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