pgr_drivingDistance¶
pgr_drivingDistance
- Returns the driving distance from a start node.
Availability
Version 2.1.0:
Signature change pgr_drivingDistance(single vertex)
New Official pgr_drivingDistance(multiple vertices)
Version 2.0.0:
Official pgr_drivingDistance(single vertex)
Description¶
Using the Dijkstra algorithm, extracts all the nodes that have costs less than or equal to the value distance
.
The edges extracted will conform to the corresponding spanning tree.
Signatures¶
Summary
pgr_drivingDistance(edges_sql, start_vid, distance [, directed])
pgr_drivingDistance(edges_sql, start_vids, distance [, directed] [, equicost])
RETURNS SET OF (seq, [start_vid,] node, edge, cost, agg_cost)
Using defaults
pgr_drivingDistance(edges_sql, start_vid, distance)
RETURNS SET OF (seq, node, edge, cost, agg_cost)
- Example
TBD
Single Vertex¶
pgr_drivingDistance(edges_sql, start_vid, distance [, directed])
RETURNS SET OF (seq, node, edge, cost, agg_cost)
- Example
TBD
Multiple Vertices¶
pgr_drivingDistance(edges_sql, start_vids, distance, [, directed] [, equicost])
RETURNS SET OF (seq, start_vid, node, edge, cost, agg_cost)
- Example
TBD
Parameters¶
Column |
Type |
Description |
---|---|---|
edges_sql |
|
SQL query as described above. |
start_vid |
|
Identifier of the starting vertex. |
start_vids |
|
Array of identifiers of the starting vertices. |
distance |
|
Upper limit for the inclusion of the node in the result. |
directed |
|
(optional). When |
equicost |
|
(optional). When |
Inner query¶
Column |
Type |
Default |
Description |
---|---|---|---|
id |
|
Identifier of the edge. |
|
source |
|
Identifier of the first end point vertex of the edge. |
|
target |
|
Identifier of the second end point vertex of the edge. |
|
cost |
|
Weight of the edge (source, target)
|
|
reverse_cost |
|
-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 (seq [, start_v], node, edge, cost, agg_cost)
Column |
Type |
Description |
---|---|---|
seq |
|
Sequential value starting from 1. |
start_vid |
|
Identifier of the starting vertex. |
node |
|
Identifier of the node in the path within the limits from |
edge |
|
Identifier of the edge used to arrive to |
cost |
|
Cost to traverse |
agg_cost |
|
Aggregate cost from |
Additional Examples¶
- Example
For queries marked as
directed
withcost
andreverse_cost
columns
The examples in this section use the following Network for queries marked as directed and cost and reverse_cost columns are used
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost, reverse_cost FROM edge_table',
2, 3
);
seq | node | edge | cost | agg_cost
-----+------+------+------+----------
1 | 2 | -1 | 0 | 0
2 | 1 | 1 | 1 | 1
3 | 5 | 4 | 1 | 1
4 | 6 | 8 | 1 | 2
5 | 8 | 7 | 1 | 2
6 | 10 | 10 | 1 | 2
7 | 7 | 6 | 1 | 3
8 | 9 | 9 | 1 | 3
9 | 11 | 12 | 1 | 3
10 | 13 | 14 | 1 | 3
(10 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost, reverse_cost FROM edge_table',
13, 3
);
seq | node | edge | cost | agg_cost
-----+------+------+------+----------
1 | 13 | -1 | 0 | 0
2 | 10 | 14 | 1 | 1
3 | 5 | 10 | 1 | 2
4 | 11 | 12 | 1 | 2
5 | 2 | 4 | 1 | 3
6 | 6 | 8 | 1 | 3
7 | 8 | 7 | 1 | 3
8 | 12 | 13 | 1 | 3
(8 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost, reverse_cost FROM edge_table',
array[2,13], 3
);
seq | from_v | node | edge | cost | agg_cost
-----+--------+------+------+------+----------
1 | 2 | 2 | -1 | 0 | 0
2 | 2 | 1 | 1 | 1 | 1
3 | 2 | 5 | 4 | 1 | 1
4 | 2 | 6 | 8 | 1 | 2
5 | 2 | 8 | 7 | 1 | 2
6 | 2 | 10 | 10 | 1 | 2
7 | 2 | 7 | 6 | 1 | 3
8 | 2 | 9 | 9 | 1 | 3
9 | 2 | 11 | 12 | 1 | 3
10 | 2 | 13 | 14 | 1 | 3
11 | 13 | 13 | -1 | 0 | 0
12 | 13 | 10 | 14 | 1 | 1
13 | 13 | 5 | 10 | 1 | 2
14 | 13 | 11 | 12 | 1 | 2
15 | 13 | 2 | 4 | 1 | 3
16 | 13 | 6 | 8 | 1 | 3
17 | 13 | 8 | 7 | 1 | 3
18 | 13 | 12 | 13 | 1 | 3
(18 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost, reverse_cost FROM edge_table',
array[2,13], 3, equicost:=true
);
seq | from_v | node | edge | cost | agg_cost
-----+--------+------+------+------+----------
1 | 2 | 2 | -1 | 0 | 0
2 | 2 | 1 | 1 | 1 | 1
3 | 2 | 5 | 4 | 1 | 1
4 | 2 | 6 | 8 | 1 | 2
5 | 2 | 8 | 7 | 1 | 2
6 | 2 | 7 | 6 | 1 | 3
7 | 2 | 9 | 9 | 1 | 3
8 | 13 | 13 | -1 | 0 | 0
9 | 13 | 10 | 14 | 1 | 1
10 | 13 | 11 | 12 | 1 | 2
11 | 13 | 12 | 13 | 1 | 3
(11 rows)
- Example
For queries marked as
undirected
withcost
andreverse_cost
columns
The examples in this section use the following Network for queries marked as undirected and cost and reverse_cost columns are used
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost, reverse_cost FROM edge_table',
2, 3, false
);
seq | node | edge | cost | agg_cost
-----+------+------+------+----------
1 | 2 | -1 | 0 | 0
2 | 1 | 1 | 1 | 1
3 | 3 | 2 | 1 | 1
4 | 5 | 4 | 1 | 1
5 | 4 | 3 | 1 | 2
6 | 6 | 8 | 1 | 2
7 | 8 | 7 | 1 | 2
8 | 10 | 10 | 1 | 2
9 | 7 | 6 | 1 | 3
10 | 9 | 16 | 1 | 3
11 | 11 | 12 | 1 | 3
12 | 13 | 14 | 1 | 3
(12 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost, reverse_cost FROM edge_table',
13, 3, false
);
seq | node | edge | cost | agg_cost
-----+------+------+------+----------
1 | 13 | -1 | 0 | 0
2 | 10 | 14 | 1 | 1
3 | 5 | 10 | 1 | 2
4 | 11 | 12 | 1 | 2
5 | 2 | 4 | 1 | 3
6 | 6 | 8 | 1 | 3
7 | 8 | 7 | 1 | 3
8 | 12 | 13 | 1 | 3
(8 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost, reverse_cost FROM edge_table',
array[2,13], 3, false
);
seq | from_v | node | edge | cost | agg_cost
-----+--------+------+------+------+----------
1 | 2 | 2 | -1 | 0 | 0
2 | 2 | 1 | 1 | 1 | 1
3 | 2 | 3 | 2 | 1 | 1
4 | 2 | 5 | 4 | 1 | 1
5 | 2 | 4 | 3 | 1 | 2
6 | 2 | 6 | 8 | 1 | 2
7 | 2 | 8 | 7 | 1 | 2
8 | 2 | 10 | 10 | 1 | 2
9 | 2 | 7 | 6 | 1 | 3
10 | 2 | 9 | 16 | 1 | 3
11 | 2 | 11 | 12 | 1 | 3
12 | 2 | 13 | 14 | 1 | 3
13 | 13 | 13 | -1 | 0 | 0
14 | 13 | 10 | 14 | 1 | 1
15 | 13 | 5 | 10 | 1 | 2
16 | 13 | 11 | 12 | 1 | 2
17 | 13 | 2 | 4 | 1 | 3
18 | 13 | 6 | 8 | 1 | 3
19 | 13 | 8 | 7 | 1 | 3
20 | 13 | 12 | 13 | 1 | 3
(20 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost, reverse_cost FROM edge_table',
array[2,13], 3, false, equicost:=true
);
seq | from_v | node | edge | cost | agg_cost
-----+--------+------+------+------+----------
1 | 2 | 2 | -1 | 0 | 0
2 | 2 | 1 | 1 | 1 | 1
3 | 2 | 3 | 2 | 1 | 1
4 | 2 | 5 | 4 | 1 | 1
5 | 2 | 4 | 3 | 1 | 2
6 | 2 | 6 | 8 | 1 | 2
7 | 2 | 8 | 7 | 1 | 2
8 | 2 | 7 | 6 | 1 | 3
9 | 2 | 9 | 16 | 1 | 3
10 | 13 | 13 | -1 | 0 | 0
11 | 13 | 10 | 14 | 1 | 1
12 | 13 | 11 | 12 | 1 | 2
13 | 13 | 12 | 13 | 1 | 3
(13 rows)
- Example
For queries marked as
directed
withcost
column
The examples in this section use the following Network for queries marked as directed and only cost column is used
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost FROM edge_table',
2, 3
);
seq | node | edge | cost | agg_cost
-----+------+------+------+----------
1 | 2 | -1 | 0 | 0
2 | 5 | 4 | 1 | 1
3 | 6 | 8 | 1 | 2
4 | 10 | 10 | 1 | 2
5 | 9 | 9 | 1 | 3
6 | 11 | 11 | 1 | 3
7 | 13 | 14 | 1 | 3
(7 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost FROM edge_table',
13, 3
);
seq | node | edge | cost | agg_cost
-----+------+------+------+----------
1 | 13 | -1 | 0 | 0
(1 row)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost FROM edge_table',
array[2,13], 3
);
seq | from_v | node | edge | cost | agg_cost
-----+--------+------+------+------+----------
1 | 2 | 2 | -1 | 0 | 0
2 | 2 | 5 | 4 | 1 | 1
3 | 2 | 6 | 8 | 1 | 2
4 | 2 | 10 | 10 | 1 | 2
5 | 2 | 9 | 9 | 1 | 3
6 | 2 | 11 | 11 | 1 | 3
7 | 2 | 13 | 14 | 1 | 3
8 | 13 | 13 | -1 | 0 | 0
(8 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost FROM edge_table',
array[2,13], 3, equicost:=true
);
seq | from_v | node | edge | cost | agg_cost
-----+--------+------+------+------+----------
1 | 2 | 2 | -1 | 0 | 0
2 | 2 | 5 | 4 | 1 | 1
3 | 2 | 6 | 8 | 1 | 2
4 | 2 | 10 | 10 | 1 | 2
5 | 2 | 9 | 9 | 1 | 3
6 | 2 | 11 | 11 | 1 | 3
7 | 13 | 13 | -1 | 0 | 0
(7 rows)
- Example
For queries marked as
undirected
withcost
column
The examples in this section use the following Network for queries marked as undirected and only cost column is used
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost FROM edge_table',
2, 3, false
);
seq | node | edge | cost | agg_cost
-----+------+------+------+----------
1 | 2 | -1 | 0 | 0
2 | 1 | 1 | 1 | 1
3 | 5 | 4 | 1 | 1
4 | 6 | 8 | 1 | 2
5 | 8 | 7 | 1 | 2
6 | 10 | 10 | 1 | 2
7 | 3 | 5 | 1 | 3
8 | 7 | 6 | 1 | 3
9 | 9 | 9 | 1 | 3
10 | 11 | 12 | 1 | 3
11 | 13 | 14 | 1 | 3
(11 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost FROM edge_table',
13, 3, false
);
seq | node | edge | cost | agg_cost
-----+------+------+------+----------
1 | 13 | -1 | 0 | 0
2 | 10 | 14 | 1 | 1
3 | 5 | 10 | 1 | 2
4 | 11 | 12 | 1 | 2
5 | 2 | 4 | 1 | 3
6 | 6 | 8 | 1 | 3
7 | 8 | 7 | 1 | 3
8 | 12 | 13 | 1 | 3
(8 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost FROM edge_table',
array[2,13], 3, false
);
seq | from_v | node | edge | cost | agg_cost
-----+--------+------+------+------+----------
1 | 2 | 2 | -1 | 0 | 0
2 | 2 | 1 | 1 | 1 | 1
3 | 2 | 5 | 4 | 1 | 1
4 | 2 | 6 | 8 | 1 | 2
5 | 2 | 8 | 7 | 1 | 2
6 | 2 | 10 | 10 | 1 | 2
7 | 2 | 3 | 5 | 1 | 3
8 | 2 | 7 | 6 | 1 | 3
9 | 2 | 9 | 9 | 1 | 3
10 | 2 | 11 | 12 | 1 | 3
11 | 2 | 13 | 14 | 1 | 3
12 | 13 | 13 | -1 | 0 | 0
13 | 13 | 10 | 14 | 1 | 1
14 | 13 | 5 | 10 | 1 | 2
15 | 13 | 11 | 12 | 1 | 2
16 | 13 | 2 | 4 | 1 | 3
17 | 13 | 6 | 8 | 1 | 3
18 | 13 | 8 | 7 | 1 | 3
19 | 13 | 12 | 13 | 1 | 3
(19 rows)
SELECT * FROM pgr_drivingDistance(
'SELECT id, source, target, cost FROM edge_table',
array[2,13], 3, false, equicost:=true
);
seq | from_v | node | edge | cost | agg_cost
-----+--------+------+------+------+----------
1 | 2 | 2 | -1 | 0 | 0
2 | 2 | 1 | 1 | 1 | 1
3 | 2 | 5 | 4 | 1 | 1
4 | 2 | 6 | 8 | 1 | 2
5 | 2 | 8 | 7 | 1 | 2
6 | 2 | 3 | 5 | 1 | 3
7 | 2 | 7 | 6 | 1 | 3
8 | 2 | 9 | 9 | 1 | 3
9 | 13 | 13 | -1 | 0 | 0
10 | 13 | 10 | 14 | 1 | 1
11 | 13 | 11 | 12 | 1 | 2
12 | 13 | 12 | 13 | 1 | 3
(12 rows)
See Also¶
pgr_alphaShape - Alpha shape computation
Sample Data network.
Indices and tables