wehub-resource-sync
61 lines
1.3 KiB
Markdown
61 lines
1.3 KiB
Markdown
# Instructions
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This directory contains files to test MLflow tracking operations using the following databases:
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- PostgreSQL
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- MySQL
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- Microsoft SQL Server
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- SQLite
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## Prerequisites
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- Docker
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- Docker Compose V2
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## Build Services
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```bash
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# Build a service
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service=mlflow-sqlite
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./tests/db/compose.sh build --build-arg DEPENDENCIES="$(python dev/extract_deps.py)" $service
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# Build all services
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./tests/db/compose.sh build --build-arg DEPENDENCIES="$(python dev/extract_deps.py)"
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```
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## Run Services
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```bash
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# Run a service (`pytest tests/db` is executed by default)
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./tests/db/compose.sh run --rm $service
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# Run all services
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for service in $(./tests/db/compose.sh config --services | grep '^mlflow-')
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do
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./tests/db/compose.sh run --rm "$service"
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done
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# Run tests
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./tests/db/compose.sh run --rm $service pytest /path/to/directory/or/script
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# Run a python script
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./tests/db/compose.sh run --rm $service python /path/to/script
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```
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## Clean Up Services
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```bash
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# Clean up containers, networks, and volumes
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./tests/db/compose.sh down --volumes --remove-orphans
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# Clean up containers, networks, volumes, and images
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./tests/db/compose.sh down --volumes --remove-orphans --rmi all
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```
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## Other Useful Commands
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```bash
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# View database logs
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./tests/db/compose.sh logs --follow <database service>
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```
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