pgr_prim¶
pgr_prim — Minimum spanning forest of graph using Prim algorithm.
Availability
- Version 3.0.0
- New Official function
Support
- Supported versions: current(3.0)
Description¶
This algorithm finds the minimum spanning forest in a possibly disconnected graph using Prim’s algorithm.
The main characteristics are:
- It’s implementation is only on undirected graph.
- Process is done only on edges with positive costs.
- When the graph is connected
- The resulting edges make up a tree
- When the graph is not connected,
- Finds a minimum spanning tree for each connected component.
- The resulting edges make up a forest.
- Prim’s running time: \(O(E*log V)\)
- EMPTY SET is returned when there are no edges in the graph.
Signatures¶
Summary
pgr_prim(edges_sql)
RETURNS SET OF (edge, cost)
OR EMPTY SET
| Example: | Minimum Spanning Forest of a subgraph |
|---|
SELECT edge, cost FROM pgr_prim(
'SELECT id, source, target, cost, reverse_cost FROM edge_table WHERE id < 14'
) ORDER BY edge;
edge | cost
------+------
1 | 1
2 | 1
3 | 1
4 | 1
5 | 1
6 | 1
7 | 1
9 | 1
10 | 1
11 | 1
13 | 1
(11 rows)
Parameters¶
| Parameter | Type | Description |
|---|---|---|
| Edges SQL | TEXT |
SQL query described in Inner query. |
Inner query¶
| Column | Type | Default | Description |
|---|---|---|---|
| id | ANY-INTEGER |
Identifier of the edge. | |
| source | ANY-INTEGER |
Identifier of the first end point vertex of the edge. | |
| target | ANY-INTEGER |
Identifier of the second end point vertex of the edge. | |
| cost | ANY-NUMERICAL |
Weight of the edge (source, target)
|
|
| reverse_cost | ANY-NUMERICAL |
-1 | Weight of the edge (target, source),
|
Where:
| ANY-INTEGER: | SMALLINT, INTEGER, BIGINT |
|---|---|
| ANY-NUMERICAL: | SMALLINT, INTEGER, BIGINT, REAL, FLOAT |
Result Columns¶
Returns SET OF (edge, cost)
| Column | Type | Description |
|---|---|---|
| edge | BIGINT |
Identifier of the edge. |
| cost | FLOAT |
Cost to traverse the edge. |
See Also¶
- Spanning Tree - Category
- Prim - Family of functions
- The queries use the Sample Data network.
- Boost: Prim’s algorithm documentation
- Wikipedia: Prim’s algorithm
Indices and tables

