Using Python to Operate DataStax Enterprise Graph

To operate the DataStax Enterprise Graph database, you can use the gremlinpython library. This library provides an interface for interacting with TinkerPop Gremlin servers. Firstly, you need to install the gremlinPython library. Use the following command to install: pip install gremlinpython Next, you can use the following code example to connect to the DataStax Enterprise Graph database and perform some basic operations: python from gremlin_python.process.anonymous_traversal import traversal from gremlin_python.driver.driver_remote_connection import DriverRemoteConnection #Connect to Gremlin server graph = traversal().withRemote(DriverRemoteConnection('ws://localhost:8182/gremlin', 'g')) #Add Vertex graph.addV('person').property('name', 'Alice').next() #Add Edge graph.V().has('person', 'name', 'Alice').addE('knows').to(graph.V().has('person', 'name', 'Bob')).next() #Query Vertex vertices = graph.V().valueMap().toList() for vertex in vertices: print(vertex) #Query Edge edges = graph.E().valueMap().toList() for edge in edges: print(edge) #Modifying Vertex Properties graph.V().has('person', 'name', 'Alice').property('name', 'Alice Smith').next() #Delete vertices and edges graph.V().has('person', 'name', 'Alice Smith').drop().next() In the above code, we first use the 'traversal(). withRemote()' method to connect to the Gremlin server and assign the returned TraversalSource object to the 'graph' variable. Then, we can use this object for various operations. The example operations in the code include adding vertices and edges, querying vertices and edges, modifying vertex properties, and deleting vertices and edges. You can adjust these operations as needed. Please ensure to replace 'ws://localhost: 8182/gremlin' with the URL of your DataStax Enterprise Graph server. Note: In order to run the above code, it is necessary to ensure that the DataStax Enterprise Graph server is running and connected to the server using the correct URL and port.