Quickstart#

This example allows to quickly deploy dataClay and run all commands from the User Guide.

Prerequisits#

Have docker engine installed.
Hava dataClay installed:
```
python3 -m pip install dataclay
```

Clone the repository:

git clone https://github.com/bsc-dom/dataclay.git

Deployment#

Navigate to the quickstart folder:
```
cd dataclay/examples/quickstart
```

The folder should contain the following files:

quickstart
├── model
│   └── company.py
├── docker-compose.yml
└── client.py

Deploy dataClay with docker compose:
```
docker compose up -d
```

Execution#

Run the client.py in a python interactive shell:
```
python3 -i client.py
```

The client.py will only import the Employee and Company classes, and start a new client session that should connect to the dataClay instance that was deployed with docker compose.

client.py#

from model.company import Company, Employee

from dataclay import Client

client = Client(host="127.0.0.1", username="testuser", password="s3cret", dataset="testdata")
client.start()

Now we can start executing the User Guide commands:

>>> employee = Employee("John", 1000.0)
>>> employee.make_persistent()

Don’t forget to stop the dataClay instance when you are done:

$ docker compose down