Version:

Solve Graph

Solves an existing graph for a type of problem (e.g., shortest path, page rank, travelling salesman, etc.) using source nodes, destination nodes, and additional, optional weights and restrictions.

IMPORTANT: It's highly recommended that you review the Network Graphs & Solvers concepts documentation, the Graph REST Tutorial, and/or some /solve/graph examples before using this endpoint.

Input Parameter Description

Name Type Description
graph_name string Name of the graph resource to solve.
weights_on_edges array of strings Additional weights to apply to the edges of an existing graph. Weights must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS WEIGHTS_EDGE_ID', expressions, e.g., 'ST_LENGTH(wkt) AS WEIGHTS_VALUESPECIFIED', or constant values, e.g., '{4, 15, 2} AS WEIGHTS_VALUESPECIFIED'. Any provided weights will be added (in the case of 'WEIGHTS_VALUESPECIFIED') to or multiplied with (in the case of 'WEIGHTS_FACTORSPECIFIED') the existing weight(s). If using constant values in an identifier combination, the number of values specified must match across the combination. The default value is an empty array ( [] ).
restrictions array of strings Additional restrictions to apply to the nodes/edges of an existing graph. Restrictions must be specified using identifiers; identifiers are grouped as combinations. Identifiers can be used with existing column names, e.g., 'table.column AS RESTRICTIONS_EDGE_ID', expressions, e.g., 'column/2 AS RESTRICTIONS_VALUECOMPARED', or constant values, e.g., '{0, 0, 0, 1} AS RESTRICTIONS_ONOFFCOMPARED'. If using constant values in an identifier combination, the number of values specified must match across the combination. If remove_previous_restrictions is set to true, any provided restrictions will replace the existing restrictions. If remove_previous_restrictions is set to false, any provided restrictions will be added (in the case of 'RESTRICTIONS_VALUECOMPARED') to or replaced (in the case of 'RESTRICTIONS_ONOFFCOMPARED'). The default value is an empty array ( [] ).
solver_type string

The type of solver to use for the graph. The default value is SHORTEST_PATH.

Supported Values Description
SHORTEST_PATH Solves for the optimal (shortest) path based on weights and restrictions from one source to destinations nodes. Also known as the Dijkstra solver.
PAGE_RANK Solves for the probability of each destination node being visited based on the links of the graph topology. Weights are not required to use this solver.
PROBABILITY_RANK Solves for the transitional probability (Hidden Markov) for each node based on the weights (probability assigned over given edges).
CENTRALITY Solves for the degree of a node to depict how many pairs of individuals that would have to go through the node to reach one another in the minimum number of hops. Also known as betweenness.
MULTIPLE_ROUTING Solves for finding the minimum cost cumulative path for a round-trip starting from the given source and visiting each given destination node once then returning to the source. Also known as the travelling salesman problem.
INVERSE_SHORTEST_PATH Solves for finding the optimal path cost for each destination node to route to the source node. Also known as inverse Dijkstra or the service man routing problem.
BACKHAUL_ROUTING Solves for optimal routes that connect remote asset nodes to the fixed (backbone) asset nodes.
ALLPATHS Solves for paths that would give costs between max and min solution radia - Make sure to limit by the 'max_solution_targets' option. Min cost shoudl be >= shortest_path cost.
source_nodes array of strings It can be one of the nodal identifiers - e.g: 'NODE_WKTPOINT' for source nodes. For BACKHAUL_ROUTING, this list depicts the fixed assets. The default value is an empty array ( [] ).
destination_nodes array of strings It can be one of the nodal identifiers - e.g: 'NODE_WKTPOINT' for destination (target) nodes. For BACKHAUL_ROUTING, this list depicts the remote assets. The default value is an empty array ( [] ).
solution_table string Name of the table to store the solution, in [schema_name.]table_name format, using standard name resolution rules. The default value is 'graph_solutions'.
options map of string to strings

Additional parameters. The default value is an empty map ( {} ).

Supported Parameters (keys) Parameter Description
max_solution_radius For SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Sets the maximum solution cost radius, which ignores the input parameter destination_nodes list and instead outputs the nodes within the radius sorted by ascending cost. If set to '0.0', the setting is ignored. The default value is '0.0'.
min_solution_radius For SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Applicable only when max_solution_radius is set. Sets the minimum solution cost radius, which ignores the input parameter destination_nodes list and instead outputs the nodes within the radius sorted by ascending cost. If set to '0.0', the setting is ignored. The default value is '0.0'.
max_solution_targets For SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Sets the maximum number of solution targets, which ignores the input parameter destination_nodes list and instead outputs no more than n number of nodes sorted by ascending cost where n is equal to the setting value. If set to 0, the setting is ignored. The default value is '0'.
export_solve_results

Returns solution results inside the output parameter result_per_destination_node array in the response if set to true. The default value is false. The supported values are:

  • true
  • false
remove_previous_restrictions

Ignore the restrictions applied to the graph during the creation stage and only use the restrictions specified in this request if set to true. The default value is false. The supported values are:

  • true
  • false
restriction_threshold_value Value-based restriction comparison. Any node or edge with a RESTRICTIONS_VALUECOMPARED value greater than the restriction_threshold_value will not be included in the solution.
uniform_weights When specified, assigns the given value to all the edges in the graph. Note that weights provided in input parameter weights_on_edges will override this value.
left_turn_penalty This will add an additonal weight over the edges labelled as 'left turn' if the 'add_turn' option parameter of the Create Graph was invoked at graph creation. The default value is '0.0'.
right_turn_penalty This will add an additonal weight over the edges labelled as' right turn' if the 'add_turn' option parameter of the Create Graph was invoked at graph creation. The default value is '0.0'.
intersection_penalty This will add an additonal weight over the edges labelled as 'intersection' if the 'add_turn' option parameter of the Create Graph was invoked at graph creation. The default value is '0.0'.
sharp_turn_penalty This will add an additonal weight over the edges labelled as 'sharp turn' or 'u-turn' if the 'add_turn' option parameter of the Create Graph was invoked at graph creation. The default value is '0.0'.
num_best_paths For MULTIPLE_ROUTING solvers only; sets the number of shortest paths computed from each node. This is the heuristic criterion. Default value of zero allows the number to be computed automatically by the solver. The user may want to override this parameter to speed-up the solver. The default value is '0'.
max_num_combinations For MULTIPLE_ROUTING solvers only; sets the cap on the combinatorial sequences generated. If the default value of two millions is overridden to a lesser value, it can potentially speed up the solver. The default value is '2000000'.
accurate_snaps

Valid for single source destination pair solves if points are described in NODE_WKTPOINT identifier types: When true (default), it snaps to the nearest node of the graph; otherwise, it searches for the closest entity that could be an edge. For the latter case (false), the solver modifies the resulting cost with the weights proportional to the ratio of the snap location within the edge. This may be an over-kill when the performance is considered and the difference is well less than 1 percent. In batch runs, since the performance is of utmost importance, the option is always considered 'false'. The default value is true. The supported values are:

  • true
  • false
output_edge_path

If true then concatenated edge ids will be added as the EDGE path column of the solution table for each source and target pair in shortest path solves. The default value is false. The supported values are:

  • true
  • false
output_wkt_path

If true then concatenated wkt line segments will be added as the Wktroute column of the solution table for each source and target pair in shortest path solves. The default value is true. The supported values are:

  • true
  • false

Output Parameter Description

Name Type Description
result boolean Indicates a successful solution.
result_per_destination_node array of floats Cost or Pagerank (based on solver type) for each destination node requested. Only populated if export_solve_results is set to true.
info map of string to strings Additional information.