This section introduces methods for exporting nodes and edges from graphs.

export()

Exports nodes or edges from the graph.

Parameters

• exportRequest: ExportRequest: Configurations for the export request, including attributes dbType, schema, selectProperties and graph.
• cb: Callable[[List[Node], List[Edge]], None]: The callback function that gets executed when data is exported.
• config: RequestConfig (Optional): Request configuration.

Returns

• None.

# Exports 'account' nodes in the graph 'miniCircle'

batch_counter = 0 # Global counter for batch tracking

exportRequest = ExportRequest(
    dbType=DBType.DBNODE,
    schema="account",
    selectProperties=["_id", "name", "year"],
    graph="miniCircle"
)

def handle_export(nodes: List[Node], edges: List[Edge]): # Defines the callback function
    global batch_counter
    batch_counter += 1

    try:
        schema = exportRequest.schema
        if nodes:
            df_nodes = pd.DataFrame([node.__dict__ for node in nodes]) # Converts to dictionary
            df_nodes.to_csv(f"{schema}_nodes.csv", mode="a", index=False)
            print(f"Batch {batch_counter} exported")
        if edges:
            df_edges = pd.DataFrame([edge.__dict__ for edge in edges]) # Converts to dictionary
            df_edges.to_csv(f"{schema}_edges.csv", mode="a", index=False)
            print(f"Batch {batch_counter} exported")
    except Exception as e:
        print(f"Batch {batch_counter} export failed: {e}")

Conn.export(exportRequest, handle_export)

Batch 1 exported
Batch 2 exported
Batch 3 exported

The file account_nodes.csv is exported to the same directory as the file you executed.

Full Example

from typing import List
import pandas as pd
from ultipa import UltipaConfig, Connection, ExportRequest, DBType, Node, Edge

ultipaConfig = UltipaConfig()
# URI example: ultipaConfig.hosts = ["https://mqj4zouys.us-east-1.cloud.ultipa.com:60010"]
ultipaConfig.hosts = ["192.168.1.85:60061", "192.168.1.87:60061", "192.168.1.88:60061"]
ultipaConfig.username = "<username>"
ultipaConfig.password = "<password>"

Conn = Connection.NewConnection(defaultConfig=ultipaConfig)

# Exports 'account' nodes in the graph 'miniCircle'

batch_counter = 0 # Global counter for batch tracking

exportRequest = ExportRequest(
    dbType=DBType.DBNODE,
    schema="account",
    selectProperties=["_id", "name", "year"],
    graph="miniCircle"
)

def handle_export(nodes: List[Node], edges: List[Edge]): # Defines the callback function
    global batch_counter
    batch_counter += 1

    try:
        schema = exportRequest.schema
        if nodes:
            df_nodes = pd.DataFrame([node.__dict__ for node in nodes]) # Converts to dictionary
            df_nodes.to_csv(f"{schema}_nodes.csv", mode="a", index=False)
            print(f"Batch {batch_counter} exported")
        if edges:
            df_edges = pd.DataFrame([edge.__dict__ for edge in edges]) # Converts to dictionary
            df_edges.to_csv(f"{schema}_edges.csv", mode="a", index=False)
            print(f"Batch {batch_counter} exported")
    except Exception as e:
        print(f"Batch {batch_counter} export failed: {e}")

Conn.export(exportRequest, handle_export)