withPoints - Family of functions

When points are also given as input:

Warning

Proposed functions for next mayor release.

  • They are not officially in the current release.

  • They will likely officially be part of the next mayor release:

    • The functions make use of ANY-INTEGER and ANY-NUMERICAL

    • Name might not change. (But still can)

    • Signature might not change. (But still can)

    • Functionality might not change. (But still can)

    • pgTap tests have being done. But might need more.

    • Documentation might need refinement.

Introduction

This family of functions belongs to the withPoints - Category and the functions that compose them are based one way or another on dijkstra algorithm.

Depending on the name:

  • pgr_withPoints is pgr_dijkstra with points

  • pgr_withPointsCost is pgr_dijkstraCost with points

  • pgr_withPointsCostMatrix is pgr_dijkstraCostMatrix with points

  • pgr_withPointsKSP is pgr_ksp with points

  • pgr_withPointsDD is pgr_drivingDistance with points

  • pgr_withPointsvia is pgr_dijkstraVia with points

Parameters

Column

Type

Description

Edges SQL

TEXT

Edges SQL as described below

Points SQL

TEXT

Points SQL as described below

Combinations SQL

TEXT

Combinations SQL as described below

start vid

BIGINT

Identifier of the starting vertex of the path. Negative value is for point’s identifier.

start vids

ARRAY[BIGINT]

Array of identifiers of starting vertices. Negative values are for point’s identifiers.

end vid

BIGINT

Identifier of the ending vertex of the path. Negative value is for point’s identifier.

end vids

ARRAY[BIGINT]

Array of identifiers of ending vertices. Negative values are for point’s identifiers.

Optional parameters

Column

Type

Default

Description

directed

BOOLEAN

true

  • When true the graph is considered Directed

  • When false the graph is considered as Undirected .

With points optional parameters

Parameter

Type

Default

Description

driving_side

CHAR

b

Value in [ r , l , b ] indicating if the driving side is:

  • r for right driving side.

  • l for left driving side.

  • b for both.

details

BOOLEAN

false

  • When true the results will include the points that are in the path.

  • When false the results will not include the points that are in the path.

Inner Queries

Edges SQL

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 )

  • When negative: edge ( target , source ) does not exist, therefore it’s not part of the graph.

Where:

ANY-INTEGER :

SMALLINT , INTEGER , BIGINT

ANY-NUMERICAL :

SMALLINT , INTEGER , BIGINT , REAL , FLOAT

Points SQL

Parameter

Type

Default

Description

pid

ANY-INTEGER

value

Identifier of the point.

  • Use with positive value, as internally will be converted to negative value

  • If column is present, it can not be NULL.

  • If column is not present, a sequential negative value will be given automatically.

edge_id

ANY-INTEGER

Identifier of the "closest" edge to the point.

fraction

ANY-NUMERICAL

Value in <0,1> that indicates the relative postition from the first end point of the edge.

side

CHAR

b

Value in [ b , r , l , NULL ] indicating if the point is:

  • In the right r ,

  • In the left l ,

  • In both sides b , NULL

Where:

ANY-INTEGER :

SMALLINT , INTEGER , BIGINT

ANY-NUMERICAL :

SMALLINT , INTEGER , BIGINT , REAL , FLOAT

Combinations SQL

Parameter

Type

Description

source

ANY-INTEGER

Identifier of the departure vertex.

target

ANY-INTEGER

Identifier of the arrival vertex.

Where:

ANY-INTEGER :

SMALLINT , INTEGER , BIGINT

Advanced Documentation

About points

For this section the following city (see Sample Data ) some interesing points such as restaurant, supermarket, post office, etc. will be used as example.

images/Fig1-originalData.png
  • The graph is directed

  • Red arrows show the (source, target) of the edge on the edge table

  • Blue arrows show the (target, source) of the edge on the edge table

  • Each point location shows where it is located with relation of the edge (source, target)

    • On the right for points 2 and 4 .

    • On the left for points 1 , 3 and 5 .

    • On both sides for point 6 .

The representation on the data base follows the Points SQL description, and for this example:

SELECT pid, edge_id, fraction, side FROM pointsOfInterest;
 pid  edge_id       fraction       side
-----+---------+--------------------+------
   1        1                 0.4  l
   4        6                 0.3  r
   3       12  0.6000000000000001  l
   2       15  0.3999999999999999  r
   5        5                 0.8  l
   6        4                 0.7  b
(6 rows)

Driving side

In the the folowwing images:

  • The squared vertices are the temporary vertices,

  • The temporary vertices are added according to the driving side,

  • visually showing the differences on how depending on the driving side the data is interpreted.

Right driving side
images/rightDrivingSide.png
  • Point 1 located on edge (6, 5)

  • Point 2 located on edge (16, 17)

  • Point 3 located on edge (8, 12)

  • Point 4 located on edge (1, 3)

  • Point 5 located on edge (10, 11)

  • Point 6 located on edges (6, 7) and (7, 6)

Left driving side
images/leftDrivingSide.png
  • Point 1 located on edge (5, 6)

  • Point 2 located on edge (17, 16)

  • Point 3 located on edge (8, 12)

  • Point 4 located on edge (3, 1)

  • Point 5 located on edge (10, 11)

  • Point 6 located on edges (6, 7) and (7, 6)

Driving side does not matter
  • Like having all points to be considered in both sides b

  • Prefered usage on undirected graphs

  • On the TRSP - Family of functions this option is not valid

images/noMatterDrivingSide.png
  • Point 1 located on edge (5, 6) and (6, 5)

  • Point 2 located on edge (17, 16)``and ``16, 17

  • Point 3 located on edge (8, 12)

  • Point 4 located on edge (3, 1) and (1, 3)

  • Point 5 located on edge (10, 11)

  • Point 6 located on edges (6, 7) and (7, 6)

Creating temporary vertices

This section will demonstrate how a temporary vertex is created internally on the graph.

Problem

For edge:

SELECT id, source, target, cost, reverse_cost
FROM edges WHERE id = 15;
 id  source  target  cost  reverse_cost
----+--------+--------+------+--------------
 15      16      17     1             1
(1 row)

insert point:

SELECT pid, edge_id, fraction, side
FROM pointsOfInterest WHERE pid = 2;
 pid  edge_id       fraction       side
-----+---------+--------------------+------
   2       15  0.3999999999999999  r
(1 row)

On a right hand side driving network

Right driving side

images/rightDrivingSide.png
  • Arrival to point -2 can be achived only via vertex 16 .

  • Does not affects edge (17, 16) , therefore the edge is kept.

  • It only affects the edge (16, 17) , therefore the edge is removed.

  • Create two new edges:

    • Edge (16, -2) with cost 0.4 (original cost * fraction == \(1 * 0.4\) )

    • Edge (-2, 17) with cost 0.6 (the remaing cost)

  • The total cost of the additional edges is equal to the original cost.

  • If more points are on the same edge, the process is repeated recursevly.

On a left hand side driving network

Left driving side

images/leftDrivingSide.png
  • Arrival to point -2 can be achived only via vertex 17 .

  • Does not affects edge (16, 17) , therefore the edge is kept.

  • It only affects the edge (17, 16) , therefore the edge is removed.

  • Create two new edges:

    • Work with the original edge (16, 17) as the fraction is a fraction of the original:

      • Edge (16, -2) with cost 0.4 (original cost * fraction == \(1 * 0.4\) )

      • Edge (-2, 17) with cost 0.6 (the remaing cost)

      • If more points are on the same edge, the process is repeated recursevly.

    • Flip the Edges and add them to the graph:

      • Edge (17, -2) becomes (-2, 16) with cost 0.4 and is added to the graph.

      • Edge (-2, 16) becomes (17, -2) with cost 0.6 and is added to the graph.

  • The total cost of the additional edges is equal to the original cost.

When driving side does not matter
images/noMatterDrivingSide.png
  • Arrival to point -2 can be achived via vertices 16 or 17 .

  • Affects the edges (16, 17) and (17, 16) , therefore the edges are removed.

  • Create four new edges:

    • Work with the original edge (16, 17) as the fraction is a fraction of the original:

      • Edge (16, -2) with cost 0.4 (original cost * fraction == \(1 * 0.4\) )

      • Edge (-2, 17) with cost 0.6 (the remaing cost)

      • If more points are on the same edge, the process is repeated recursevly.

    • Flip the Edges and add all the edges to the graph:

      • Edge (16, -2) is added to the graph.

      • Edge (-2, 17) is added to the graph.

      • Edge (16, -2) becomes (-2, 16) with cost 0.4 and is added to the graph.

      • Edge (-2, 17) becomes (17, -2) with cost 0.6 and is added to the graph.

See Also

Indices and tables