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◆ solveGraph() [1/4]

SolveGraphResponse gpudb::GPUdb::solveGraph (const SolveGraphRequest &request_) const

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

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

Parameters
[in]request_Request object containing the parameters for the operation.
Returns
Response object containing the result of the operation.

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◆ solveGraph() [2/4]

SolveGraphResponse & gpudb::GPUdb::solveGraph (const SolveGraphRequest &request_,
SolveGraphResponse &response_ ) const

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

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

Parameters
[in]request_Request object containing the parameters for the operation.
[out]response_Response object containing the results of the operation.
Returns
Response object containing the result of the operation (initially passed in by reference).

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◆ solveGraph() [3/4]

SolveGraphResponse gpudb::GPUdb::solveGraph (const std::string &graphName,
const std::vector< std::string > &weightsOnEdges,
const std::vector< std::string > &restrictions,
const std::string &solverType,
const std::vector< std::string > &sourceNodes,
const std::vector< std::string > &destinationNodes,
const std::string &solutionTable,
const std::map< std::string, std::string > &options ) const

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

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

Parameters
[in]graphNameName of the graph resource to solve.
[in]weightsOnEdgesAdditional 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 vector.
[in]restrictionsAdditional 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 option is set to true, any provided restrictions will replace the existing restrictions. Otherwise, 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 vector.
[in]solverTypeThe type of solver to use for the graph. Supported values:
  • solve_graph_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.
  • solve_graph_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.
  • solve_graph_PROBABILITY_RANK: Solves for the transitional probability (Hidden Markov) for each node based on the weights (probability assigned over given edges).
  • solve_graph_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.
  • solve_graph_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 traveling salesman problem.
  • solve_graph_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.
  • solve_graph_BACKHAUL_ROUTING: Solves for optimal routes that connect remote asset nodes to the fixed (backbone) asset nodes.
  • solve_graph_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 should be >= shortest_path cost.
  • solve_graph_STATS_ALL: Solves for graph statistics such as graph diameter, longest pairs, vertex valences, topology numbers, average and max cluster sizes, etc.
  • solve_graph_CLOSENESS: Solves for the centrality closeness score per node as the sum of the inverse shortest path costs to all nodes in the graph.
The default value is solve_graph_SHORTEST_PATH.
[in]sourceNodesIt 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 vector.
[in]destinationNodesIt 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 vector.
[in]solutionTableName of the table to store the solution, in [schema_name.]table_name format, using standard name resolution rules. The default value is ‘graph_solutions’.
[in]optionsAdditional parameters.
  • solve_graph_max_solution_radius: For ALLPATHS, SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Sets the maximum solution cost radius, which ignores the destinationNodes 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’.
  • solve_graph_min_solution_radius: For ALLPATHS, 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 destinationNodes 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’.
  • solve_graph_max_solution_targets: For ALLPATHS, SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Sets the maximum number of solution targets, which ignores the destinationNodes 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 ‘1000’.
  • solve_graph_uniform_weights: When specified, assigns the given value to all the edges in the graph. Note that weights provided in weightsOnEdges will override this value.
  • solve_graph_left_turn_penalty: This will add an additional weight over the edges labeled as ‘left turn’ if the ‘add_turn’ option parameter of the createGraph was invoked at graph creation. The default value is ‘0.0’.
  • solve_graph_right_turn_penalty: This will add an additional weight over the edges labeled as’ right turn’ if the ‘add_turn’ option parameter of the createGraph was invoked at graph creation. The default value is ‘0.0’.
  • solve_graph_intersection_penalty: This will add an additional weight over the edges labeled as ‘intersection’ if the ‘add_turn’ option parameter of the createGraph was invoked at graph creation. The default value is ‘0.0’.
  • solve_graph_sharp_turn_penalty: This will add an additional weight over the edges labeled as ‘sharp turn’ or ‘u-turn’ if the ‘add_turn’ option parameter of the createGraph was invoked at graph creation. The default value is ‘0.0’.
  • solve_graph_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’.
  • solve_graph_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’.
  • solve_graph_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. Supported values:The default value is solve_graph_false.
  • solve_graph_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. Supported values:The default value is solve_graph_true.
  • solve_graph_server_id: Indicates which graph server(s) to send the request to. Default is to send to the server, amongst those containing the corresponding graph, that has the most computational bandwidth. For SHORTEST_PATH solver type, the input is split amongst the server containing the corresponding graph.
  • solve_graph_convergence_limit: For PAGE_RANK solvers only; Maximum percent relative threshold on the page rank scores of each node between consecutive iterations to satisfy convergence. Default value is 1 (one) percent. The default value is ‘1.0’.
  • solve_graph_max_iterations: For PAGE_RANK solvers only; Maximum number of page rank iterations for satisfying convergence. Default value is 100. The default value is ‘100’.
  • solve_graph_max_runs: For all CENTRALITY solvers only; Sets the maximum number of shortest path runs; maximum possible value is the number of nodes in the graph. Default value of 0 enables this value to be auto computed by the solver. The default value is ‘0’.
  • solve_graph_output_clusters: For STATS_ALL solvers only; the cluster index for each node will be inserted as an additional column in the output. Supported values:
    • solve_graph_true: An additional column ‘CLUSTER’ will be added for each node.
    • solve_graph_false: No extra cluster info per node will be available in the output.
    The default value is solve_graph_false.
  • solve_graph_solve_heuristic: Specify heuristic search criterion only for the geo graphs and shortest path solves towards a single target. Supported values:The default value is solve_graph_none.
  • solve_graph_astar_radius: For path solvers only when ‘solve_heuristic’ option is ‘astar’. The shortest path traversal front includes nodes only within this radius (kilometers) as it moves towards the target location. The default value is ‘70’.
The default value is an empty map.
Returns
Response object containing the result of the operation.

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◆ solveGraph() [4/4]

SolveGraphResponse & gpudb::GPUdb::solveGraph (const std::string &graphName,
const std::vector< std::string > &weightsOnEdges,
const std::vector< std::string > &restrictions,
const std::string &solverType,
const std::vector< std::string > &sourceNodes,
const std::vector< std::string > &destinationNodes,
const std::string &solutionTable,
const std::map< std::string, std::string > &options,
SolveGraphResponse &response_ ) const

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

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

Parameters
[in]graphNameName of the graph resource to solve.
[in]weightsOnEdgesAdditional 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 vector.
[in]restrictionsAdditional 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 option is set to true, any provided restrictions will replace the existing restrictions. Otherwise, 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 vector.
[in]solverTypeThe type of solver to use for the graph. Supported values:
  • solve_graph_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.
  • solve_graph_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.
  • solve_graph_PROBABILITY_RANK: Solves for the transitional probability (Hidden Markov) for each node based on the weights (probability assigned over given edges).
  • solve_graph_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.
  • solve_graph_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 traveling salesman problem.
  • solve_graph_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.
  • solve_graph_BACKHAUL_ROUTING: Solves for optimal routes that connect remote asset nodes to the fixed (backbone) asset nodes.
  • solve_graph_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 should be >= shortest_path cost.
  • solve_graph_STATS_ALL: Solves for graph statistics such as graph diameter, longest pairs, vertex valences, topology numbers, average and max cluster sizes, etc.
  • solve_graph_CLOSENESS: Solves for the centrality closeness score per node as the sum of the inverse shortest path costs to all nodes in the graph.
The default value is solve_graph_SHORTEST_PATH.
[in]sourceNodesIt 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 vector.
[in]destinationNodesIt 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 vector.
[in]solutionTableName of the table to store the solution, in [schema_name.]table_name format, using standard name resolution rules. The default value is ‘graph_solutions’.
[in]optionsAdditional parameters.
  • solve_graph_max_solution_radius: For ALLPATHS, SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Sets the maximum solution cost radius, which ignores the destinationNodes 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’.
  • solve_graph_min_solution_radius: For ALLPATHS, 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 destinationNodes 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’.
  • solve_graph_max_solution_targets: For ALLPATHS, SHORTEST_PATH and INVERSE_SHORTEST_PATH solvers only. Sets the maximum number of solution targets, which ignores the destinationNodes 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 ‘1000’.
  • solve_graph_uniform_weights: When specified, assigns the given value to all the edges in the graph. Note that weights provided in weightsOnEdges will override this value.
  • solve_graph_left_turn_penalty: This will add an additional weight over the edges labeled as ‘left turn’ if the ‘add_turn’ option parameter of the createGraph was invoked at graph creation. The default value is ‘0.0’.
  • solve_graph_right_turn_penalty: This will add an additional weight over the edges labeled as’ right turn’ if the ‘add_turn’ option parameter of the createGraph was invoked at graph creation. The default value is ‘0.0’.
  • solve_graph_intersection_penalty: This will add an additional weight over the edges labeled as ‘intersection’ if the ‘add_turn’ option parameter of the createGraph was invoked at graph creation. The default value is ‘0.0’.
  • solve_graph_sharp_turn_penalty: This will add an additional weight over the edges labeled as ‘sharp turn’ or ‘u-turn’ if the ‘add_turn’ option parameter of the createGraph was invoked at graph creation. The default value is ‘0.0’.
  • solve_graph_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’.
  • solve_graph_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’.
  • solve_graph_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. Supported values:The default value is solve_graph_false.
  • solve_graph_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. Supported values:The default value is solve_graph_true.
  • solve_graph_server_id: Indicates which graph server(s) to send the request to. Default is to send to the server, amongst those containing the corresponding graph, that has the most computational bandwidth. For SHORTEST_PATH solver type, the input is split amongst the server containing the corresponding graph.
  • solve_graph_convergence_limit: For PAGE_RANK solvers only; Maximum percent relative threshold on the page rank scores of each node between consecutive iterations to satisfy convergence. Default value is 1 (one) percent. The default value is ‘1.0’.
  • solve_graph_max_iterations: For PAGE_RANK solvers only; Maximum number of page rank iterations for satisfying convergence. Default value is 100. The default value is ‘100’.
  • solve_graph_max_runs: For all CENTRALITY solvers only; Sets the maximum number of shortest path runs; maximum possible value is the number of nodes in the graph. Default value of 0 enables this value to be auto computed by the solver. The default value is ‘0’.
  • solve_graph_output_clusters: For STATS_ALL solvers only; the cluster index for each node will be inserted as an additional column in the output. Supported values:
    • solve_graph_true: An additional column ‘CLUSTER’ will be added for each node.
    • solve_graph_false: No extra cluster info per node will be available in the output.
    The default value is solve_graph_false.
  • solve_graph_solve_heuristic: Specify heuristic search criterion only for the geo graphs and shortest path solves towards a single target. Supported values:The default value is solve_graph_none.
  • solve_graph_astar_radius: For path solvers only when ‘solve_heuristic’ option is ‘astar’. The shortest path traversal front includes nodes only within this radius (kilometers) as it moves towards the target location. The default value is ‘70’.
The default value is an empty map.
[out]response_Response object containing the results of the operation.
Returns
Response object containing the result of the operation (initially passed in by reference).