pgr_chinesePostman - Experimental

pgr_chinesePostman — Calculates the shortest circuit path which contains every edge in a directed graph and starts and ends on the same vertex.

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 3.0.0

  • New experimental signature

Description

The main characteristics are:

• Process is done only on edges with positive costs.

• Running time: \(O(E * (E + V * logV))\)

• Graph must be connected.

• Returns EMPTY SET on a disconnected graph

Signatures

pgr_chinesePostman(Edges SQL)

RETURNS SET OF (seq, node, edge, cost, agg_cost)

OR EMPTY SET

Example:

SELECT * FROM pgr_chinesePostman(
  'SELECT id, source, target, cost, reverse_cost
  FROM edges WHERE id < 17');
 seq | node | edge | cost | agg_cost
-----+------+------+------+----------
   1 |    1 |    6 |    1 |        0
   2 |    3 |    7 |    1 |        1
   3 |    7 |    4 |    1 |        2
   4 |    6 |    4 |    1 |        3
   5 |    7 |    8 |    1 |        4
   6 |   11 |    8 |    1 |        5
   7 |    7 |   10 |    1 |        6
   8 |    8 |   12 |    1 |        7
   9 |   12 |   13 |    1 |        8
  10 |   17 |   15 |    1 |        9
  11 |   16 |   15 |    1 |       10
  12 |   17 |   15 |    1 |       11
  13 |   16 |   16 |    1 |       12
  14 |   15 |   16 |    1 |       13
  15 |   16 |    9 |    1 |       14
  16 |   11 |   11 |    1 |       15
  17 |   12 |   13 |    1 |       16
  18 |   17 |   15 |    1 |       17
  19 |   16 |   16 |    1 |       18
  20 |   15 |    3 |    1 |       19
  21 |   10 |    5 |    1 |       20
  22 |   11 |    9 |    1 |       21
  23 |   16 |   16 |    1 |       22
  24 |   15 |    3 |    1 |       23
  25 |   10 |    2 |    1 |       24
  26 |    6 |    1 |    1 |       25
  27 |    5 |    1 |    1 |       26
  28 |    6 |    4 |    1 |       27
  29 |    7 |   10 |    1 |       28
  30 |    8 |   14 |    1 |       29
  31 |    9 |   14 |    1 |       30
  32 |    8 |   10 |    1 |       31
  33 |    7 |    7 |    1 |       32
  34 |    3 |    6 |    1 |       33
  35 |    1 |   -1 |    0 |       34
(35 rows)

Parameters

Parameter	Type	Description
Edges SQL	TEXT	Edges SQL as described below.

Inner Queries

Edges SQL

An Edges SQL that represents a directed graph with the following columns

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

Result Columns

Returns set of (seq, node, edge, cost, agg_cost)

Column	Type	Description
seq	INT	Sequential value starting from 1
node	BIGINT	Identifier of the node in the path from start_vid to end_vid.
edge	BIGINT	Identifier of the edge used to go from node to the next node in the path sequence. -1 for the last node of the path.
cost	FLOAT	Cost to traverse from node using edge to the next node in the path sequence.
agg_cost	FLOAT	Aggregate cost from start_v to node.

See Also

• Chinese Postman Problem - Family of functions (Experimental)

• Sample Data

Indices and tables

• Index

• Search Page