pgr_depthFirstSearch - Experimental - pgRouting Manual (3.2)
pgr_depthFirstSearch - Experimental
pgr_depthFirstSearch
- Returns a depth first search traversal of the graph.
The graph can be directed or undirected.
Warning
Possible server crash
-
These functions might create a server crash
Warning
Experimental functions
-
They are not officially of the current release.
-
They likely will not be officially be part of the next release:
-
The functions might not make use of ANY-INTEGER and ANY-NUMERICAL
-
Name might change.
-
Signature might change.
-
Functionality might change.
-
pgTap tests might be missing.
-
Might need c/c++ coding.
-
May lack documentation.
-
Documentation if any might need to be rewritten.
-
Documentation examples might need to be automatically generated.
-
Might need a lot of feedback from the comunity.
-
Might depend on a proposed function of pgRouting
-
Might depend on a deprecated function of pgRouting
-
Availability
-
Version 3.2.0
-
New experimental function
-
Description
Depth First Search algorithm is a traversal algorithm which starts from a root vertex, goes as deep as possible, and backtracks once a vertex is reached with no adjacent vertices or with all visited adjacent vertices. The traversal continues until all the vertices reachable from the root vertex are visited.
The main Characteristics are:
-
The implementation works for both directed and undirected graphs.
-
Provides the Depth First Search traversal order from a root vertex or from a set of root vertices.
-
An optional non-negative maximum depth parameter to limit the results up to a particular depth.
-
For optimization purposes, any duplicated values in the Root vids are ignored.
-
It does not produce the shortest path from a root vertex to a target vertex.
-
The aggregate cost of traversal is not guaranteed to be minimal.
-
The returned values are ordered in ascending order of start_vid .
-
Depth First Search Running time: \(O(E + V)\)
Signatures
Summary
pgr_depthFirstSearch(Edges SQL, Root vid [, directed] [, max_depth]) -- Experimental on v3.2
pgr_depthFirstSearch(Edges SQL, Root vids [, directed] [, max_depth]) -- Experimental on v3.2
RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost)
Using defaults
- Example :
-
From root vertex \(2\) on a directed graph
SELECT * FROM pgr_depthFirstSearch(
'SELECT id, source, target, cost, reverse_cost FROM edge_table
ORDER BY id',
2
);
seq depth start_vid node edge cost agg_cost
-----+-------+-----------+------+------+------+----------
1 0 2 2 -1 0 0
2 1 2 1 1 1 1
3 1 2 5 4 1 1
4 2 2 8 7 1 2
5 3 2 7 6 1 3
6 2 2 6 8 1 2
7 3 2 9 9 1 3
8 4 2 12 15 1 4
9 4 2 4 16 1 4
10 5 2 3 3 1 5
11 3 2 11 11 1 3
12 2 2 10 10 1 2
13 3 2 13 14 1 3
(13 rows)
Single vertex
pgr_depthFirstSearch(Edges SQL, Root vid [, directed] [, max_depth])
RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost)
- Example :
-
From root vertex \(2\) on an undirected graph, with \(depth <= 2\)
SELECT * FROM pgr_depthFirstSearch(
'SELECT id, source, target, cost, reverse_cost FROM edge_table
ORDER BY id',
2, directed => false, max_depth => 2
);
seq depth start_vid node edge cost agg_cost
-----+-------+-----------+------+------+------+----------
1 0 2 2 -1 0 0
2 1 2 1 1 1 1
3 1 2 3 2 1 1
4 2 2 4 3 1 2
5 2 2 6 5 1 2
6 1 2 5 4 1 1
7 2 2 8 7 1 2
8 2 2 10 10 1 2
(8 rows)
Multiple vertices
pgr_depthFirstSearch(Edges SQL, Root vids [, directed] [, max_depth])
RETURNS SET OF (seq, depth, start_vid, node, edge, cost, agg_cost)
- Example :
-
From root vertices \(\{11, 2\}\) on an undirected graph with \(depth <= 2\)
SELECT * FROM pgr_depthFirstSearch(
'SELECT id, source, target, cost, reverse_cost FROM edge_table
ORDER BY id',
ARRAY[11, 2], directed => false, max_depth => 2
);
seq depth start_vid node edge cost agg_cost
-----+-------+-----------+------+------+------+----------
1 0 2 2 -1 0 0
2 1 2 1 1 1 1
3 1 2 3 2 1 1
4 2 2 4 3 1 2
5 2 2 6 5 1 2
6 1 2 5 4 1 1
7 2 2 8 7 1 2
8 2 2 10 10 1 2
9 0 11 11 -1 0 0
10 1 11 6 11 1 1
11 2 11 3 5 1 2
12 2 11 5 8 1 2
13 2 11 9 9 1 2
14 1 11 10 12 1 1
15 2 11 13 14 1 2
16 1 11 12 13 1 1
(16 rows)
Parameters
Parameter |
Type |
Description |
---|---|---|
Edges SQL |
|
SQL query described in Inner query . |
Root vid |
|
Identifier of the root vertex of the tree.
|
Root vids |
|
Array of identifiers of the root vertices.
|
Optional Parameters
Parameter |
Type |
Default |
Description |
---|---|---|---|
directed |
|
|
|
max_depth |
|
\(9223372036854775807\) |
Upper limit for the depth of traversal
|
Inner query
Edges SQL
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 |
|
|
|
reverse_cost |
|
-1 |
|
Where:
- ANY-INTEGER :
-
SMALLINT, INTEGER, BIGINT
- ANY-NUMERICAL :
-
SMALLINT, INTEGER, BIGINT, REAL, FLOAT
Result Columns
Returns SET OF
(seq,
depth,
start_vid,
node,
edge,
cost,
agg_cost)
Column |
Type |
Description |
---|---|---|
seq |
|
Sequential value starting from \(1\) . |
depth |
|
Depth of the
|
start_vid |
|
Identifier of the root vertex.
|
node |
|
Identifier of
|
edge |
|
Identifier of the
|
cost |
|
Cost to traverse
|
agg_cost |
|
Aggregate cost from
|
Additional Examples
The examples of this section are based on the Sample Data network.
Example: No internal ordering on traversal
In the following query, the inner query of the example: "Using defaults" is modified so that the data is entered into the algorithm is given in the reverse ordering of the id.
SELECT * FROM pgr_depthFirstSearch(
'SELECT id, source, target, cost, reverse_cost FROM edge_table
ORDER BY id DESC',
2
);
seq depth start_vid node edge cost agg_cost
-----+-------+-----------+------+------+------+----------
1 0 2 2 -1 0 0
2 1 2 5 4 1 1
3 2 2 10 10 1 2
4 3 2 13 14 1 3
5 3 2 11 12 1 3
6 4 2 12 13 1 4
7 5 2 9 15 1 5
8 6 2 4 16 1 6
9 7 2 3 3 1 7
10 8 2 6 5 1 8
11 2 2 8 7 1 2
12 3 2 7 6 1 3
13 1 2 1 1 1 1
(13 rows)
The resulting traversal is different.
The left image shows the result with ascending order of ids and the right image shows with descending order of ids:
See Also
-
The queries use the Sample Data network.
Indices and tables