Delete Edge

Overview

Edge deletion operations provide the ability to remove edges from your graph database when they are no longer needed. These operations are essential for maintaining data cleanliness, removing obsolete relationships, and managing storage efficiently. Understanding edge deletion is crucial for proper edge lifecycle management and ensuring your graph structure remains organized and relevant.

Key capabilities include:

Deleting individual edges by their unique GUID
Performing bulk deletion of multiple edges
Deleting all edges within a graph for complete cleanup
Maintaining data integrity during deletion operations
Handling cleanup of edge associations and relationships

These operations support various use cases such as relationship cleanup, edge lifecycle management, storage optimization, and maintaining data quality standards.

Delete Single Edge

Delete a single edge using DELETE: /v1.0/tenants/{tenant-guid}/graphs/{graph-guid}/edges/{edge-guid}. This endpoint allows you to remove a specific edge by its unique identifier, permanently deleting it from the system and cleaning up any associated relationships.

curl --location --request DELETE 'http://localhost:8701/v1.0/tenants/00000000-0000-0000-0000-000000000000/graphs/00000000-0000-0000-0000-000000000000/edges/00000000-0000-0000-0000-000000000000' \
--header 'content-type: application/json' \
--header 'Authorization: ••••••' \
--data ''

import { LiteGraphSdk } from "litegraphdb";

var api = new LiteGraphSdk(
  "http://localhost:8701/",
  "<Tenant-Guid>",
  "*******"
);

const deleteEdgeById = async () => {
  try {
    const data = await api.Edge.delete(guid, edgeGuid);
    console.log(data, "check data");
  } catch (err) {
    console.log("err:", JSON.stringify(err));
  }
};

import litegraph

sdk = litegraph.configure(
    endpoint="http://localhost:8701",
    tenant_guid="Tenant-Guid",
    graph_guid="Graph-Guid",
    access_key="******",
)

def delete_edge():
    litegraph.Edge.delete(guid="edgeGuid")
    print("Edge deleted")

delete_edge()

Delete Multiple Edges

Delete multiple edges in a single operation using DELETE: /v1.0/tenants/{tenant-guid}/graphs/{graph-guid}/edges/bulk. This bulk operation allows you to efficiently remove multiple edges by providing an array of edge GUIDs, which is useful for batch cleanup operations and maintaining edge organization.

curl --location --request DELETE 'http://localhost:8701/v1.0/tenants/00000000-0000-0000-0000-000000000000/graphs/00000000-0000-0000-0000-000000000000/edges/bulk' \
--header 'content-type: application/json' \
--header 'Authorization: ••••••' \
--data '[
    "00000000-0000-0000-0000-000000000000"
]'

import { LiteGraphSdk } from "litegraphdb";

var api = new LiteGraphSdk(
  "http://localhost:8701/",
  "<Tenant-Guid>",
  "*******"
);

const deleteMultipleEdges = async () => {
  try {
    const data = await api.Edge.deleteBulk(guid, [edge - guid]);
    console.log(data, "check data");
  } catch (err) {
    console.log("err:", JSON.stringify(err));
  }
};

import litegraph

sdk = litegraph.configure(
    endpoint="http://localhost:8701",
    tenant_guid="Tenant-Guid",
    access_key="******",
)

def delete_multiple_edge():
    litegraph.Edge.delete_multiple(guid=["edge-guid-1","edge-guid"])
    print("Edges deleted")

delete_multiple_edge()

Delete All Edges

Delete all edges within a graph using DELETE: /v1.0/tenants/{tenant-guid}/graphs/{graph-guid}/edges/all. This operation removes all edges from the specified graph, which is useful for complete graph cleanup or resetting edge relationships while preserving nodes.

curl --location --request DELETE 'http://localhost:8701/v1.0/tenants/00000000-0000-0000-0000-000000000000/graphs/00000000-0000-0000-0000-000000000000/edges/all' \
--header 'content-type: application/json' \
--header 'Authorization: ••••••' \
--data ''

import { LiteGraphSdk } from "litegraphdb";

var api = new LiteGraphSdk(
  "http://localhost:8701/",
  "<Tenant-Guid>",
  "*******"
);

const deleteAllEdges = async () => {
  try {
    const data = await api.Edge.deleteAll("<graph-guid>");
    console.log(data, "check data");
  } catch (err) {
    console.log("err:", JSON.stringify(err), err);
  }
};

import litegraph

sdk = litegraph.configure(
    endpoint="http://localhost:8701",
    tenant_guid="Tenant-Guid",
    graph_guid="Graph-Guid",
    access_key="******",
)

def delete_all_edge():
    litegraph.Edge.delete_all()
    print("Edges deleted")

delete_all_edge()

Response

Upon successful edge deletion, the API returns a 200 No Content status code indicating the edge has been successfully removed from the system.

Best Practices

When deleting edges, consider the following recommendations:

Verify Before Deletion: Always confirm the edges you intend to delete are correct
Backup Important Data: Consider backing up critical edge data before deletion
Check Dependencies: Ensure no critical systems depend on the edges being deleted
Use Bulk Operations: Leverage bulk deletion for multiple edges to improve performance
Handle Errors Gracefully: Implement proper error handling for failed deletions
Monitor Impact: Track the effects of edge deletions on related operations
Maintain Audit Trail: Keep records of deletion operations for compliance and debugging

Next Steps

After successfully deleting edges, consider these next actions:

Verify Deletion: Confirm edges have been removed by attempting to read them
Update Dependencies: Check if any dependent systems need to be updated
Clean Up References: Remove any local references to deleted edges
Monitor System: Watch for any issues that might arise from the deletions
Document Changes: Maintain documentation of deletion operations
Optimize Storage: Review storage usage improvements from the cleanup