feat(dbt-ingestion): add documentation link from dbt source to institutionalMemory #14301
docker-unified.yml
on: pull_request
setup
10s
Build and Push DataHub Ingestion (Base) Docker Image
13s
Build and Push DataHub MAE Consumer Docker Image
7m 54s
Build and Push DataHub MCE Consumer Docker Image
7m 50s
Build and Push DataHub Kafka Setup Docker Image
2m 39s
Build and Push DataHub MySQL Setup Docker Image
55s
Build and Push DataHub Elasticsearch Setup Docker Image
1m 1s
Build and Push DataHub Ingestion (Base-Full) Docker Image
10s
Build and Push DataHub Ingestion (Base-Slim) Docker Image
11s
[Monitoring] Scan DataHub Upgrade images for vulnerabilities
1m 9s
[Monitoring] Scan Frontend images for vulnerabilities
1m 36s
[Monitoring] Scan GMS images for vulnerabilities
1m 2s
[Monitoring] Scan MAE consumer images for vulnerabilities
56s
[Monitoring] Scan MCE consumer images for vulnerabilities
1m 6s
Build and Push DataHub Ingestion (Full) Docker Images
19m 57s
Build and Push DataHub Ingestion Docker Images
2m 29s
[Monitoring] Scan Datahub Ingestion images for vulnerabilities
1m 30s
[Monitoring] Scan Datahub Ingestion Slim images for vulnerabilities
0s
Matrix: Run Smoke Tests
Annotations
1 error and 50 warnings
Artifacts
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action_image_artifact_acryldata_datahub-ingestion_pr8686
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action_image_artifact_acryldata_datahub-mysql-setup_pr8686
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action_image_artifact_acryldata_datahub-upgrade_pr8686
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506 MB |
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action_image_artifact_linkedin_datahub-elasticsearch-setup_pr8686
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24.9 MB |
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action_image_artifact_linkedin_datahub-frontend-react_pr8686
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873 MB |
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action_image_artifact_linkedin_datahub-gms_pr8686
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441 MB |
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action_image_artifact_linkedin_datahub-kafka-setup_pr8686
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547 MB |
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action_image_artifact_linkedin_datahub-mae-consumer_pr8686
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447 MB |
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action_image_artifact_linkedin_datahub-mce-consumer_pr8686
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450 MB |
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