pgr_withPointsKSP - Proposed

pgr_withPointsKSP — Yen’s algorithm for K shortest paths using Dijkstra.

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.

Version 3.6.0

  • Standarizing output columns to (seq, path_id, path_seq, start_vid, end_vid, node, edge, cost, agg_cost)

  • pgr_withPointsKSP(One to One)

    • Signature change: driving_side parameter changed from named optional to unnamed compulsory driving side.

    • Added start_vid and end_vid result columns.

  • New proposed signatures:

    • pgr_withPointsKSP(One to Many)

    • pgr_withPointsKSP(Many to One)

    • pgr_withPointsKSP(Many to Many)

    • pgr_withPointsKSP(Combinations)

  • Deprecated signature

    • pgr_withpointsksp(text,text,bigint,bigint,integer,boolean,boolean,char,boolean)``

Version 2.2.0

  • New proposed function.

Description

Modifies the graph to include the points defined in the Points SQL and using Yen algorithm, finds the \(K\) shortest paths.

Boost Graph inside Boost Graph Inside

Signatures

pgr_withPointsKSP(Edges SQL, Points SQL, start vid, end vid, K, driving_side, [options])
pgr_withPointsKSP(Edges SQL, Points SQL, start vid, end vids, K, driving_side, [options])
pgr_withPointsKSP(Edges SQL, Points SQL, start vids, end vid, K, driving_side, [options])
pgr_withPointsKSP(Edges SQL, Points SQL, start vids, end vids, K, driving_side, [options])
pgr_withPointsKSP(Edges SQL, Points SQL, Combinations SQL, K, driving_side, [options])
options: [directed, heap_paths, details]
Returns set of (seq, path_id, path_seq, node, edge, cost, agg_cost)
OR EMPTY SET

One to One

pgr_withPointsKSP(Edges SQL, Points SQL, start vid, end vid, K, driving_side, [options])
options: [directed, heap_paths, details]
Returns set of (seq, path_id, path_seq, start_vid, end_vid, node, edge, cost, agg_cost)
OR EMTPY SET
Example:

Get 2 paths from Point \(1\) to point \(2\) on a directed graph with left side driving.

  • For a directed graph.

  • No details are given about distance of other points of the query.

  • No heap paths are returned.

SELECT * FROM pgr_withPointsKSP(
    'SELECT id, source, target, cost, reverse_cost FROM edges ORDER BY id',
    'SELECT pid, edge_id, fraction, side from pointsOfInterest',
    -1, -2, 2, 'l');
 seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost
-----+---------+----------+-----------+---------+------+------+------+----------
   1 |       1 |        1 |        -1 |      -2 |   -1 |    1 |  0.6 |        0
   2 |       1 |        2 |        -1 |      -2 |    6 |    4 |    1 |      0.6
   3 |       1 |        3 |        -1 |      -2 |    7 |    8 |    1 |      1.6
   4 |       1 |        4 |        -1 |      -2 |   11 |   11 |    1 |      2.6
   5 |       1 |        5 |        -1 |      -2 |   12 |   13 |    1 |      3.6
   6 |       1 |        6 |        -1 |      -2 |   17 |   15 |  0.6 |      4.6
   7 |       1 |        7 |        -1 |      -2 |   -2 |   -1 |    0 |      5.2
   8 |       2 |        1 |        -1 |      -2 |   -1 |    1 |  0.6 |        0
   9 |       2 |        2 |        -1 |      -2 |    6 |    4 |    1 |      0.6
  10 |       2 |        3 |        -1 |      -2 |    7 |    8 |    1 |      1.6
  11 |       2 |        4 |        -1 |      -2 |   11 |    9 |    1 |      2.6
  12 |       2 |        5 |        -1 |      -2 |   16 |   15 |  1.6 |      3.6
  13 |       2 |        6 |        -1 |      -2 |   -2 |   -1 |    0 |      5.2
(13 rows)

One to Many

pgr_withPointsKSP(Edges SQL, Points SQL, start vid, end vids, K, driving_side, [options])
options: [directed, heap_paths, details]
Returns set of (seq, path_id, path_seq, node, edge, cost, agg_cost)
OR EMTPY SET
Example:

Get 2 paths from point \(1\) to point \(3\) and vertex \(7\) on an undirected graph

SELECT * FROM pgr_withPointsKSP(
  'SELECT id, source, target, cost, reverse_cost FROM edges ORDER BY id',
  'SELECT pid, edge_id, fraction, side from pointsOfInterest',
  -1, ARRAY[-3, 7], 2, 'B',
  directed => false);
 seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost
-----+---------+----------+-----------+---------+------+------+------+----------
   1 |       1 |        1 |        -1 |      -3 |   -1 |    1 |  0.6 |        0
   2 |       1 |        2 |        -1 |      -3 |    6 |    4 |    1 |      0.6
   3 |       1 |        3 |        -1 |      -3 |    7 |   10 |    1 |      1.6
   4 |       1 |        4 |        -1 |      -3 |    8 |   12 |  0.6 |      2.6
   5 |       1 |        5 |        -1 |      -3 |   -3 |   -1 |    0 |      3.2
   6 |       2 |        1 |        -1 |      -3 |   -1 |    1 |  0.6 |        0
   7 |       2 |        2 |        -1 |      -3 |    6 |    4 |    1 |      0.6
   8 |       2 |        3 |        -1 |      -3 |    7 |    8 |    1 |      1.6
   9 |       2 |        4 |        -1 |      -3 |   11 |   11 |    1 |      2.6
  10 |       2 |        5 |        -1 |      -3 |   12 |   12 |  0.4 |      3.6
  11 |       2 |        6 |        -1 |      -3 |   -3 |   -1 |    0 |        4
  12 |       3 |        1 |        -1 |       7 |   -1 |    1 |  0.6 |        0
  13 |       3 |        2 |        -1 |       7 |    6 |    4 |    1 |      0.6
  14 |       3 |        3 |        -1 |       7 |    7 |   -1 |    0 |      1.6
  15 |       4 |        1 |        -1 |       7 |   -1 |    1 |  0.6 |        0
  16 |       4 |        2 |        -1 |       7 |    6 |    2 |    1 |      0.6
  17 |       4 |        3 |        -1 |       7 |   10 |    5 |    1 |      1.6
  18 |       4 |        4 |        -1 |       7 |   11 |    8 |    1 |      2.6
  19 |       4 |        5 |        -1 |       7 |    7 |   -1 |    0 |      3.6
(19 rows)

Many to One

pgr_withPointsKSP(Edges SQL, Points SQL, start vids, end vid, K, driving_side, [options])
options: [directed, heap_paths, details]
Returns set of (seq, path_id, path_seq, node, edge, cost, agg_cost)
OR EMTPY SET
Example:

Get a path from point \(1\) and vertex \(6\) to point \(3\) on a directed graph with right side driving and details set to True

SELECT * FROM pgr_withPointsKSP(
  'SELECT id, source, target, cost, reverse_cost FROM edges ORDER BY id',
  'SELECT pid, edge_id, fraction, side from pointsOfInterest',
  ARRAY[-1, 6], -3, 1, 'r', details=> true);
 seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost
-----+---------+----------+-----------+---------+------+------+------+----------
   1 |       1 |        1 |        -1 |      -3 |   -1 |    1 |  0.4 |        0
   2 |       1 |        2 |        -1 |      -3 |    5 |    1 |    1 |      0.4
   3 |       1 |        3 |        -1 |      -3 |    6 |    4 |  0.7 |      1.4
   4 |       1 |        4 |        -1 |      -3 |   -6 |    4 |  0.3 |      2.1
   5 |       1 |        5 |        -1 |      -3 |    7 |   10 |    1 |      2.4
   6 |       1 |        6 |        -1 |      -3 |    8 |   12 |  0.6 |      3.4
   7 |       1 |        7 |        -1 |      -3 |   -3 |   -1 |    0 |        4
   8 |       2 |        1 |         6 |      -3 |    6 |    4 |  0.7 |        0
   9 |       2 |        2 |         6 |      -3 |   -6 |    4 |  0.3 |      0.7
  10 |       2 |        3 |         6 |      -3 |    7 |   10 |    1 |        1
  11 |       2 |        4 |         6 |      -3 |    8 |   12 |  0.6 |        2
  12 |       2 |        5 |         6 |      -3 |   -3 |   -1 |    0 |      2.6
(12 rows)

Many to Many

pgr_withPointsKSP(Edges SQL, Points SQL, start vids, end vids, K, driving_side, [options])
options: [directed, heap_paths, details]
Returns set of (seq, path_id, path_seq, start_vid, end_vid, node, edge, cost, agg_cost)
OR EMTPY SET
Example:

Get a path from point \(1\) and vertex \(6\) to point \(3\) and vertex \(1\) on a directed graph with left side driving and heap_paths set to True

SELECT * FROM pgr_withPointsKSP(
  'SELECT id, source, target, cost, reverse_cost FROM edges ORDER BY id',
  'SELECT pid, edge_id, fraction, side from pointsOfInterest',
  ARRAY[-1, 6], ARRAY[-3, 1], 1, 'l', heap_paths => true);
 seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost
-----+---------+----------+-----------+---------+------+------+------+----------
   1 |       1 |        1 |        -1 |      -3 |   -1 |    1 |  0.6 |        0
   2 |       1 |        2 |        -1 |      -3 |    6 |    4 |    1 |      0.6
   3 |       1 |        3 |        -1 |      -3 |    7 |   10 |    1 |      1.6
   4 |       1 |        4 |        -1 |      -3 |    8 |   12 |  0.6 |      2.6
   5 |       1 |        5 |        -1 |      -3 |   -3 |   -1 |    0 |      3.2
   6 |       2 |        1 |        -1 |       1 |   -1 |    1 |  0.6 |        0
   7 |       2 |        2 |        -1 |       1 |    6 |    4 |    1 |      0.6
   8 |       2 |        3 |        -1 |       1 |    7 |    7 |    1 |      1.6
   9 |       2 |        4 |        -1 |       1 |    3 |    6 |    1 |      2.6
  10 |       2 |        5 |        -1 |       1 |    1 |   -1 |    0 |      3.6
  11 |       3 |        1 |         6 |      -3 |    6 |    4 |    1 |        0
  12 |       3 |        2 |         6 |      -3 |    7 |   10 |    1 |        1
  13 |       3 |        3 |         6 |      -3 |    8 |   12 |  0.6 |        2
  14 |       3 |        4 |         6 |      -3 |   -3 |   -1 |    0 |      2.6
  15 |       4 |        1 |         6 |       1 |    6 |    4 |    1 |        0
  16 |       4 |        2 |         6 |       1 |    7 |    7 |    1 |        1
  17 |       4 |        3 |         6 |       1 |    3 |    6 |    1 |        2
  18 |       4 |        4 |         6 |       1 |    1 |   -1 |    0 |        3
(18 rows)

Combinations

pgr_withPointsKSP(Edges SQL, Points SQL, Combinations SQL, K, driving_side, [options])
options: [directed, heap_paths, details]
Returns set of (seq, path_id, path_seq, node, edge, cost, agg_cost)
OR EMTPY SET
Example:

Using a combinations table on an directed graph

SELECT * FROM pgr_withPointsKSP(
  'SELECT id, source, target, cost, reverse_cost FROM edges ORDER BY id',
  'SELECT pid, edge_id, fraction, side from pointsOfInterest',
  'SELECT * FROM (VALUES (-1, 10), (6, -3)) AS combinations(source, target)',
  2, 'r', details => true);
 seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost
-----+---------+----------+-----------+---------+------+------+------+----------
   1 |       1 |        1 |        -1 |      10 |   -1 |    1 |  0.4 |        0
   2 |       1 |        2 |        -1 |      10 |    5 |    1 |    1 |      0.4
   3 |       1 |        3 |        -1 |      10 |    6 |    4 |  0.7 |      1.4
   4 |       1 |        4 |        -1 |      10 |   -6 |    4 |  0.3 |      2.1
   5 |       1 |        5 |        -1 |      10 |    7 |    8 |    1 |      2.4
   6 |       1 |        6 |        -1 |      10 |   11 |    9 |    1 |      3.4
   7 |       1 |        7 |        -1 |      10 |   16 |   16 |    1 |      4.4
   8 |       1 |        8 |        -1 |      10 |   15 |    3 |    1 |      5.4
   9 |       1 |        9 |        -1 |      10 |   10 |   -1 |    0 |      6.4
  10 |       2 |        1 |        -1 |      10 |   -1 |    1 |  0.4 |        0
  11 |       2 |        2 |        -1 |      10 |    5 |    1 |    1 |      0.4
  12 |       2 |        3 |        -1 |      10 |    6 |    4 |  0.7 |      1.4
  13 |       2 |        4 |        -1 |      10 |   -6 |    4 |  0.3 |      2.1
  14 |       2 |        5 |        -1 |      10 |    7 |    8 |    1 |      2.4
  15 |       2 |        6 |        -1 |      10 |   11 |   11 |    1 |      3.4
  16 |       2 |        7 |        -1 |      10 |   12 |   13 |    1 |      4.4
  17 |       2 |        8 |        -1 |      10 |   17 |   15 |    1 |      5.4
  18 |       2 |        9 |        -1 |      10 |   16 |   16 |    1 |      6.4
  19 |       2 |       10 |        -1 |      10 |   15 |    3 |    1 |      7.4
  20 |       2 |       11 |        -1 |      10 |   10 |   -1 |    0 |      8.4
  21 |       3 |        1 |         6 |      -3 |    6 |    4 |  0.7 |        0
  22 |       3 |        2 |         6 |      -3 |   -6 |    4 |  0.3 |      0.7
  23 |       3 |        3 |         6 |      -3 |    7 |   10 |    1 |        1
  24 |       3 |        4 |         6 |      -3 |    8 |   12 |  0.6 |        2
  25 |       3 |        5 |         6 |      -3 |   -3 |   -1 |    0 |      2.6
(25 rows)

Parameters

Column

Type

Description

Edges SQL

TEXT

Edges SQL query as described.

Points SQL

TEXT

Points SQL query as described.

start vid

ANY-INTEGER

Identifier of the departure vertex.

  • Negative values represent a point

end vid

ANY-INTEGER

Identifier of the destination vertex.

  • Negative values represent a point

K

ANY-INTEGER

Number of required paths

driving_side

CHAR

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

  • [r, R] for right driving side (for directed graph only)

  • [l, L] for left driving side (for directed graph only)

  • [b, B] for both (only for undirected graph)

Where:

ANY-INTEGER:

SMALLINT, INTEGER, BIGINT

Optional parameters

Column

Type

Default

Description

directed

BOOLEAN

true

  • When true the graph is considered Directed

  • When false the graph is considered as Undirected.

KSP Optional parameters

Column

Type

Default

Description

heap_paths

BOOLEAN

false

  • When false Returns at most K paths.

  • When true all the calculated paths while processing are returned.

  • Roughly, when the shortest path has N edges, the heap will contain about than N * K paths for small value of K and K > 5.

withPointsKSP optional parameters

Parameter

Type

Default

Description

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

Result columns

Returns set of (seq, path_id, path_seq, start_vid, end_vid, node, edge, cost, agg_cost)

Column

Type

Description

seq

INTEGER

Sequential value starting from 1.

path_id

INTEGER

Path identifier.

  • Has value 1 for the first of a path from start_vid to end_vid

path_seq

INTEGER

Relative position in the path. Has value 1 for the beginning of a path.

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.

  • \(0\) for the last node of the path.

agg_cost

FLOAT

Aggregate cost from start vid to node.

Additional Examples

Use pgr_findCloseEdges - Proposed in the Points SQL.

Get \(2\) paths using left side driving topology, from vertex \(1\) to the closest location on the graph of point (2.9, 1.8).

SELECT * FROM pgr_withPointsKSP(
  $e$ SELECT * FROM edges $e$,
  $p$ SELECT edge_id, round(fraction::numeric, 2) AS fraction, side
      FROM pgr_findCloseEdges(
        $$SELECT id, geom FROM edges$$,
        (SELECT ST_POINT(2.9, 1.8)),
        0.5, cap => 2)
  $p$,
  1, -1, 2,'r');
 seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost
-----+---------+----------+-----------+---------+------+------+------+----------
   1 |       1 |        1 |         1 |      -1 |    1 |    6 |    1 |        0
   2 |       1 |        2 |         1 |      -1 |    3 |    7 |    1 |        1
   3 |       1 |        3 |         1 |      -1 |    7 |    8 |    1 |        2
   4 |       1 |        4 |         1 |      -1 |   11 |    9 |    1 |        3
   5 |       1 |        5 |         1 |      -1 |   16 |   16 |    1 |        4
   6 |       1 |        6 |         1 |      -1 |   15 |    3 |    1 |        5
   7 |       1 |        7 |         1 |      -1 |   10 |    5 |  0.8 |        6
   8 |       1 |        8 |         1 |      -1 |   -1 |   -1 |    0 |      6.8
   9 |       2 |        1 |         1 |      -1 |    1 |    6 |    1 |        0
  10 |       2 |        2 |         1 |      -1 |    3 |    7 |    1 |        1
  11 |       2 |        3 |         1 |      -1 |    7 |   10 |    1 |        2
  12 |       2 |        4 |         1 |      -1 |    8 |   12 |    1 |        3
  13 |       2 |        5 |         1 |      -1 |   12 |   13 |    1 |        4
  14 |       2 |        6 |         1 |      -1 |   17 |   15 |    1 |        5
  15 |       2 |        7 |         1 |      -1 |   16 |   16 |    1 |        6
  16 |       2 |        8 |         1 |      -1 |   15 |    3 |    1 |        7
  17 |       2 |        9 |         1 |      -1 |   10 |    5 |  0.8 |        8
  18 |       2 |       10 |         1 |      -1 |   -1 |   -1 |    0 |      8.8
(18 rows)

  • Point \(-1\) corresponds to the closest edge from point (2.9, 1.8).

Left driving side

Get \(2\) paths using left side driving topology, from point \(1\) to point \(3\) with details.

SELECT * FROM pgr_withPointsKSP(
    'SELECT id, source, target, cost, reverse_cost FROM edges ORDER BY id',
    'SELECT pid, edge_id, fraction, side from pointsOfInterest',
    -1, -3, 2, 'l', details => true);
 seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost
-----+---------+----------+-----------+---------+------+------+------+----------
   1 |       1 |        1 |        -1 |      -3 |   -1 |    1 |  0.6 |        0
   2 |       1 |        2 |        -1 |      -3 |    6 |    4 |  0.7 |      0.6
   3 |       1 |        3 |        -1 |      -3 |   -6 |    4 |  0.3 |      1.3
   4 |       1 |        4 |        -1 |      -3 |    7 |   10 |    1 |      1.6
   5 |       1 |        5 |        -1 |      -3 |    8 |   12 |  0.6 |      2.6
   6 |       1 |        6 |        -1 |      -3 |   -3 |   -1 |    0 |      3.2
(6 rows)

Right driving side

Get \(2\) paths using right side driving topology from, point \(1\) to point \(2\) with heap paths and details.

SELECT * FROM pgr_withPointsKSP(
    'SELECT id, source, target, cost, reverse_cost FROM edges ORDER BY id',
    'SELECT pid, edge_id, fraction, side from pointsOfInterest',
    -1, -2, 2, 'r',
    heap_paths => true, details => true);
 seq | path_id | path_seq | start_vid | end_vid | node | edge | cost | agg_cost
-----+---------+----------+-----------+---------+------+------+------+----------
   1 |       1 |        1 |        -1 |      -2 |   -1 |    1 |  0.4 |        0
   2 |       1 |        2 |        -1 |      -2 |    5 |    1 |    1 |      0.4
   3 |       1 |        3 |        -1 |      -2 |    6 |    4 |  0.7 |      1.4
   4 |       1 |        4 |        -1 |      -2 |   -6 |    4 |  0.3 |      2.1
   5 |       1 |        5 |        -1 |      -2 |    7 |    8 |    1 |      2.4
   6 |       1 |        6 |        -1 |      -2 |   11 |    9 |    1 |      3.4
   7 |       1 |        7 |        -1 |      -2 |   16 |   15 |  0.4 |      4.4
   8 |       1 |        8 |        -1 |      -2 |   -2 |   -1 |    0 |      4.8
   9 |       2 |        1 |        -1 |      -2 |   -1 |    1 |  0.4 |        0
  10 |       2 |        2 |        -1 |      -2 |    5 |    1 |    1 |      0.4
  11 |       2 |        3 |        -1 |      -2 |    6 |    4 |  0.7 |      1.4
  12 |       2 |        4 |        -1 |      -2 |   -6 |    4 |  0.3 |      2.1
  13 |       2 |        5 |        -1 |      -2 |    7 |    8 |    1 |      2.4
  14 |       2 |        6 |        -1 |      -2 |   11 |   11 |    1 |      3.4
  15 |       2 |        7 |        -1 |      -2 |   12 |   13 |    1 |      4.4
  16 |       2 |        8 |        -1 |      -2 |   17 |   15 |    1 |      5.4
  17 |       2 |        9 |        -1 |      -2 |   16 |   15 |  0.4 |      6.4
  18 |       2 |       10 |        -1 |      -2 |   -2 |   -1 |    0 |      6.8
  19 |       3 |        1 |        -1 |      -2 |   -1 |    1 |  0.4 |        0
  20 |       3 |        2 |        -1 |      -2 |    5 |    1 |    1 |      0.4
  21 |       3 |        3 |        -1 |      -2 |    6 |    4 |  0.7 |      1.4
  22 |       3 |        4 |        -1 |      -2 |   -6 |    4 |  0.3 |      2.1
  23 |       3 |        5 |        -1 |      -2 |    7 |   10 |    1 |      2.4
  24 |       3 |        6 |        -1 |      -2 |    8 |   12 |  0.6 |      3.4
  25 |       3 |        7 |        -1 |      -2 |   -3 |   12 |  0.4 |        4
  26 |       3 |        8 |        -1 |      -2 |   12 |   13 |    1 |      4.4
  27 |       3 |        9 |        -1 |      -2 |   17 |   15 |    1 |      5.4
  28 |       3 |       10 |        -1 |      -2 |   16 |   15 |  0.4 |      6.4
  29 |       3 |       11 |        -1 |      -2 |   -2 |   -1 |    0 |      6.8
(29 rows)

See Also

Indices and tables