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graph-to-table operator

  • Статья

Applies to: ✅ Microsoft Fabric ✅ Azure Data Explorer ✅ Azure Monitor ✅ Microsoft Sentinel

The graph-to-table operator exports nodes or edges from a graph to tables.

Note

This operator is used in conjunction with the make-graph operator.

Syntax

Nodes

G | graph-to-table nodes [ with_node_id=ColumnName ]

Edges

G | graph-to-table edges [ with_source_id=ColumnName ] [ with_target_id=ColumnName ] [ as TableName ]

Nodes and edges

G | graph-to-table nodes as NodesTableName [ with_node_id=ColumnName ], edges as EdgesTableName [ with_source_id=ColumnName ] [ with_target_id=ColumnName ]

Parameters

Name Type Required Description
G string ✔️ The input graph source.
NodesTableName string The name of the exported nodes table.
EdgesTableName string The name of the exported edges table.
ColumnName string Export the node hash ID, source node hash ID, or target node hash ID with the given column name.

Returns

Nodes

The graph-to-table operator returns a tabular result, in which each row corresponds to a node in the source graph. The returned columns are the node's properties. When with_node_id is provided, the node hash column is of long type.

Edges

The graph-to-table operator returns a tabular result, in which each row corresponds to an edge in the source graph. The returned columns are the node's properties. When with_source_id or with_target_id are provided, the node hash column is of long type.

Nodes and edges

The graph-to-table operator returns two tabular results, matching the previous descriptions.

Examples

The following examples use the make-graph operator to build a graph from edges and nodes tables. The nodes represent people and systems, and the edges are different relations between nodes. Then, each example shows a different usage of graph-to-table.

Get edges

In this example, the graph-to-table operator exports the edges from a graph to a table. The with_source_id and with_target_id parameters export the node hash for source and target nodes of each edge.

let nodes = datatable(name:string, type:string, age:long) 
[ 
	"Alice", "Person", 23,  
	"Bob", "Person", 31,  
	"Eve", "Person", 17,  
	"Mallory", "Person", 29,  
	"Trent", "System", 99 
]; 
let edges = datatable(source:string, destination:string, edge_type:string) 
[ 
	"Alice", "Bob", "communicatesWith",  
	"Alice", "Trent", "trusts",  
	"Bob", "Trent", "hasPermission",  
	"Eve", "Alice", "attacks",  
	"Mallory", "Alice", "attacks",  
	"Mallory", "Bob", "attacks"  
]; 
edges 
| make-graph source --> destination with nodes on name
| graph-to-table edges with_source_id=SourceId with_target_id=TargetId

Output

SourceId TargetId source destination edge_type
-3122868243544336885 -7133945255344544237 Alice Bob communicatesWith
-3122868243544336885 2533909231875758225 Alice Trent trusts
-7133945255344544237 2533909231875758225 Bob Trent hasPermission
4363395278938690453 -3122868243544336885 Eve Alice attacks
3855580634910899594 -3122868243544336885 Mallory Alice attacks
3855580634910899594 -7133945255344544237 Mallory Bob attacks

Get nodes

In this example, the graph-to-table operator exports the nodes from a graph to a table. The with_node_id parameter exports the node hash.

let nodes = datatable(name:string, type:string, age:long) 
[ 
	"Alice", "Person", 23,  
	"Bob", "Person", 31,  
	"Eve", "Person", 17,
	"Trent", "System", 99
]; 
let edges = datatable(source:string, destination:string, edge_type:string) 
[ 
	"Alice", "Bob", "communicatesWith",  
	"Alice", "Trent", "trusts",  
	"Bob", "Trent", "hasPermission",  
	"Eve", "Alice", "attacks",  
	"Mallory", "Alice", "attacks",  
	"Mallory", "Bob", "attacks"
]; 
edges 
| make-graph source --> destination with nodes on name
| graph-to-table nodes with_node_id=NodeId

Output

NodeId name type age
-3122868243544336885 Alice Person 23
-7133945255344544237 Bob Person 31
4363395278938690453 Eve Person 17
2533909231875758225 Trent System 99
3855580634910899594 Mallory

Get nodes and edges

In this example, the graph-to-table operator exports the nodes and edges from a graph to a table.

let nodes = datatable(name:string, type:string, age:long) 
[ 
	"Alice", "Person", 23,  
	"Bob", "Person", 31,  
	"Eve", "Person", 17,
	"Trent", "System", 99
]; 
let edges = datatable(source:string, destination:string, edge_type:string) 
[ 
	"Alice", "Bob", "communicatesWith",  
	"Alice", "Trent", "trusts",  
	"Bob", "Trent", "hasPermission",  
	"Eve", "Alice", "attacks",  
	"Mallory", "Alice", "attacks",  
	"Mallory", "Bob", "attacks"
]; 
edges 
| make-graph source --> destination with nodes on name
| graph-to-table nodes as N with_node_id=NodeId, edges as E with_source_id=SourceId;
N; 
E

Output table 1

NodeId name type age
-3122868243544336885 Alice Person 23
-7133945255344544237 Bob Person 31
4363395278938690453 Eve Person 17
2533909231875758225 Trent System 99
3855580634910899594 Mallory

Output table 2

SourceId source destination edge_type
-3122868243544336885 Alice Bob communicatesWith
-3122868243544336885 Alice Trent trusts
-7133945255344544237 Bob Trent hasPermission
4363395278938690453 Eve Alice attacks
3855580634910899594 Mallory Alice attacks
3855580634910899594 Mallory Bob attacks

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