12 Getting Started with the Client Tools

You can use multiple client tools to interact with the graph server (PGX) or directly with the graph data in the database.

The following sections explain how to use the various client tools:

• Interactive Graph Shell CLIs
  Both the Oracle Graph server and client packages contain interactive command-line applications for interacting with the Java APIs and the Python APIs of the product, locally or on remote computers.
• Using Autonomous Database Graph Client
  Using the AdbGraphClient API, you can access Graph Studio features in Autonomous Database programmatically using the Oracle Graph Client or through your Java or Python application.
• Using the Graph Visualization Web Client
  You can use the Graph Visualization application to visualize graphs that are either loaded into the graph server (PGX) or stored in the database.
• Using the Jupyter Notebook Interface
  You can use the Jupyter notebook interface to create, load, and query PGQL property graphs through Python.
• Additional Client Tools for Querying PGQL Property Graphs
  When working with PGQL property graphs in the database, you can use other supported client tools.

12.1 Using the Graph Visualization Web Client

You can use the Graph Visualization application to visualize graphs that are either loaded into the graph server (PGX) or stored in the database.

To run the graph visualization application for your installation, see Running the Graph Visualization Web Client.

12.2 Using the Jupyter Notebook Interface

You can use the Jupyter notebook interface to create, load, and query PGQL property graphs through Python.

Perform the following steps to perform graph analysis using Jupyter Notebook:

1. Install the Jupyter Notebook application following the Jupyter documentation. The following example installs Jupyter with pip:

   pip3 install --user jupyter

2. Ensure that your Jupyter installation is added to the PATH environment variable.
3. Run the notebook server using the jupyter notebook command.
4. Launch the web application using the generated URL and open a new notebook.
5. Create and analyse a property graph.
   • The following example shows creating a PGQL property graph and running graph queries:

     Figure 12-1 Creating a PGQL property graph in Jupyter Notebook

     
     Description of "Figure 12-1 Creating a PGQL property graph in Jupyter Notebook"
   • The following example shows loading the PGQL property graph into the graph server (PGX) and running graph algorithms for analysis:

     Figure 12-2 Running Graph Algorithms in Jupyter Notebook

     
     Description of "Figure 12-2 Running Graph Algorithms in Jupyter Notebook"