fix(ingestion/teradata): teradata profiling fix for pooling #30201
docker-unified.yml
on: pull_request
setup
12s
Build and Push DataHub Ingestion (Base) Docker Image
27s
Build and Push DataHub Elasticsearch Setup Docker Image
0s
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
1m 46s
Build and Push DataHub Ingestion (Base-Slim) Docker Image
38s
[Monitoring] Scan DataHub Upgrade images for vulnerabilities
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[Monitoring] Scan ElasticSearch setup images for vulnerabilities
0s
[Monitoring] Scan Frontend images for vulnerabilities
0s
[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
0s
Build and Push DataHub Ingestion (Full) Docker Images
5m 56s
Build and Push DataHub Ingestion Docker Images
3m 12s
[Monitoring] Scan Datahub Ingestion images for vulnerabilities
3m 47s
Matrix: Run Smoke Tests
[Monitoring] Scan Datahub Ingestion Slim images for vulnerabilities
3m 12s
Deploy to Datahub HEAD
0s
Artifacts
Produced during runtime
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Test Results (smoke tests) pytests 0
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1.68 KB |
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Test Results (smoke tests) pytests 1
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1.5 KB |
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Test Results (smoke tests) pytests 2
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1.64 KB |
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action_image_artifact_acryldata_datahub-ingestion_pr12507
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945 MB |
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action_image_artifact_acryldata_datahub-ingestion_pr12507-slim
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653 MB |
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datahub-project~datahub~5GO40R.dockerbuild
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37.2 KB |
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datahub-project~datahub~PX3N8K.dockerbuild
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55.5 KB |
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