Package com.gpudb.protocol

Class SolveGraphRequest

  • All Implemented Interfaces:
    org.apache.avro.generic.GenericContainer, org.apache.avro.generic.IndexedRecord
    public class SolveGraphRequest
extends Object
implements org.apache.avro.generic.IndexedRecord
    A set of parameters for GPUdb.solveGraph.

    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.

    • Constructor Detail

      • SolveGraphRequest

        public SolveGraphRequest()
        Constructs a SolveGraphRequest object with default parameters.

      • SolveGraphRequest

        public SolveGraphRequest​(String graphName,
                         List<String> weightsOnEdges,
                         List<String> restrictions,
                         String solverType,
                         List<String> sourceNodes,
                         List<String> destinationNodes,
                         String solutionTable,
                         Map<String,​String> options)
        Constructs a SolveGraphRequest object with the specified parameters.
        Parameters:
        graphName - Name of the graph resource to solve.
        weightsOnEdges - 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 List.
        restrictions - 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 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 List.
        solverType - The type of solver to use for the graph. Supported values:
        • 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 traveling 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 should be >= shortest_path cost.
        • STATS_ALL: Solves for graph statistics such as graph diameter, longest pairs, vertex valences, topology numbers, average and max cluster sizes, etc.
        • 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 SHORTEST_PATH.
        sourceNodes - 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 List.
        destinationNodes - 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 List.
        solutionTable - 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 - Additional parameters.
        • 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'.
        • 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'.
        • 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'.
        • 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.
        • LEFT_TURN_PENALTY: This will add an additional weight over the edges labeled as 'left turn' if the 'add_turn' option parameter of the GPUdb.createGraph was invoked at graph creation. The default value is '0.0'.
        • RIGHT_TURN_PENALTY: This will add an additional weight over the edges labeled as' right turn' if the 'add_turn' option parameter of the GPUdb.createGraph was invoked at graph creation. The default value is '0.0'.
        • INTERSECTION_PENALTY: This will add an additional weight over the edges labeled as 'intersection' if the 'add_turn' option parameter of the GPUdb.createGraph was invoked at graph creation. The default value is '0.0'.
        • 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 GPUdb.createGraph 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'.
        • 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 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. Supported values: The default value is TRUE.
        • 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.
        • 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'.
        • 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'.
        • 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'.
        • 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:
          • TRUE: An additional column 'CLUSTER' will be added for each node
          • FALSE: No extra cluster info per node will be available in the output
          The default value is FALSE.
        • SOLVE_HEURISTIC: Specify heuristic search criterion only for the geo graphs and shortest path solves towards a single target. Supported values:
          • ASTAR: Employs A-STAR heuristics to speed up the shortest path traversal
          • NONE: No heuristics are applied
          The default value is NONE.
        • 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.

    • Method Detail

      • getClassSchema

        public static org.apache.avro.Schema getClassSchema()
        This method supports the Avro framework and is not intended to be called directly by the user.
        Returns:
        The schema for the class.

      • getGraphName

        public String getGraphName()
        Name of the graph resource to solve.
        Returns:
        The current value of graphName.

      • setGraphName

        public SolveGraphRequest setGraphName​(String graphName)
        Name of the graph resource to solve.
        Parameters:
        graphName - The new value for graphName.
        Returns:
        this to mimic the builder pattern.

      • getWeightsOnEdges

        public List<String> getWeightsOnEdges()
        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 List.
        Returns:
        The current value of weightsOnEdges.

      • setWeightsOnEdges

        public SolveGraphRequest setWeightsOnEdges​(List<String> weightsOnEdges)
        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 List.
        Parameters:
        weightsOnEdges - The new value for weightsOnEdges.
        Returns:
        this to mimic the builder pattern.

      • getRestrictions

        public List<String> getRestrictions()
        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 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 List.
        Returns:
        The current value of restrictions.

      • setRestrictions

        public SolveGraphRequest setRestrictions​(List<String> restrictions)
        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 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 List.
        Parameters:
        restrictions - The new value for restrictions.
        Returns:
        this to mimic the builder pattern.

      • getSolverType

        public String getSolverType()
        The type of solver to use for the graph. Supported values:
        • 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 traveling 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 should be >= shortest_path cost.
        • STATS_ALL: Solves for graph statistics such as graph diameter, longest pairs, vertex valences, topology numbers, average and max cluster sizes, etc.
        • 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 SHORTEST_PATH.
        Returns:
        The current value of solverType.

      • setSolverType

        public SolveGraphRequest setSolverType​(String solverType)
        The type of solver to use for the graph. Supported values:
        • 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 traveling 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 should be >= shortest_path cost.
        • STATS_ALL: Solves for graph statistics such as graph diameter, longest pairs, vertex valences, topology numbers, average and max cluster sizes, etc.
        • 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 SHORTEST_PATH.
        Parameters:
        solverType - The new value for solverType.
        Returns:
        this to mimic the builder pattern.

      • getSourceNodes

        public List<String> getSourceNodes()
        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 List.
        Returns:
        The current value of sourceNodes.

      • setSourceNodes

        public SolveGraphRequest setSourceNodes​(List<String> sourceNodes)
        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 List.
        Parameters:
        sourceNodes - The new value for sourceNodes.
        Returns:
        this to mimic the builder pattern.

      • getDestinationNodes

        public List<String> getDestinationNodes()
        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 List.
        Returns:
        The current value of destinationNodes.

      • setDestinationNodes

        public SolveGraphRequest setDestinationNodes​(List<String> destinationNodes)
        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 List.
        Parameters:
        destinationNodes - The new value for destinationNodes.
        Returns:
        this to mimic the builder pattern.

      • getSolutionTable

        public String getSolutionTable()
        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'.
        Returns:
        The current value of solutionTable.

      • setSolutionTable

        public SolveGraphRequest setSolutionTable​(String solutionTable)
        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'.
        Parameters:
        solutionTable - The new value for solutionTable.
        Returns:
        this to mimic the builder pattern.

      • getOptions

        public Map<String,​String> getOptions()
        Additional parameters.
        • 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'.
        • 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'.
        • 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'.
        • 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.
        • LEFT_TURN_PENALTY: This will add an additional weight over the edges labeled as 'left turn' if the 'add_turn' option parameter of the GPUdb.createGraph was invoked at graph creation. The default value is '0.0'.
        • RIGHT_TURN_PENALTY: This will add an additional weight over the edges labeled as' right turn' if the 'add_turn' option parameter of the GPUdb.createGraph was invoked at graph creation. The default value is '0.0'.
        • INTERSECTION_PENALTY: This will add an additional weight over the edges labeled as 'intersection' if the 'add_turn' option parameter of the GPUdb.createGraph was invoked at graph creation. The default value is '0.0'.
        • 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 GPUdb.createGraph 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'.
        • 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 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. Supported values: The default value is TRUE.
        • 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.
        • 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'.
        • 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'.
        • 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'.
        • 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:
          • TRUE: An additional column 'CLUSTER' will be added for each node
          • FALSE: No extra cluster info per node will be available in the output
          The default value is FALSE.
        • SOLVE_HEURISTIC: Specify heuristic search criterion only for the geo graphs and shortest path solves towards a single target. Supported values:
          • ASTAR: Employs A-STAR heuristics to speed up the shortest path traversal
          • NONE: No heuristics are applied
          The default value is NONE.
        • 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:
        The current value of options.

      • setOptions

        public SolveGraphRequest setOptions​(Map<String,​String> options)
        Additional parameters.
        • 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'.
        • 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'.
        • 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'.
        • 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.
        • LEFT_TURN_PENALTY: This will add an additional weight over the edges labeled as 'left turn' if the 'add_turn' option parameter of the GPUdb.createGraph was invoked at graph creation. The default value is '0.0'.
        • RIGHT_TURN_PENALTY: This will add an additional weight over the edges labeled as' right turn' if the 'add_turn' option parameter of the GPUdb.createGraph was invoked at graph creation. The default value is '0.0'.
        • INTERSECTION_PENALTY: This will add an additional weight over the edges labeled as 'intersection' if the 'add_turn' option parameter of the GPUdb.createGraph was invoked at graph creation. The default value is '0.0'.
        • 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 GPUdb.createGraph 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'.
        • 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 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. Supported values: The default value is TRUE.
        • 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.
        • 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'.
        • 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'.
        • 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'.
        • 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:
          • TRUE: An additional column 'CLUSTER' will be added for each node
          • FALSE: No extra cluster info per node will be available in the output
          The default value is FALSE.
        • SOLVE_HEURISTIC: Specify heuristic search criterion only for the geo graphs and shortest path solves towards a single target. Supported values:
          • ASTAR: Employs A-STAR heuristics to speed up the shortest path traversal
          • NONE: No heuristics are applied
          The default value is NONE.
        • 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.
        Parameters:
        options - The new value for options.
        Returns:
        this to mimic the builder pattern.

      • getSchema

        public org.apache.avro.Schema getSchema()
        This method supports the Avro framework and is not intended to be called directly by the user.
        Specified by:
        getSchema in interface org.apache.avro.generic.GenericContainer
        Returns:
        The schema object describing this class.

      • get

        public Object get​(int index)
        This method supports the Avro framework and is not intended to be called directly by the user.
        Specified by:
        get in interface org.apache.avro.generic.IndexedRecord
        Parameters:
        index - the position of the field to get
        Returns:
        value of the field with the given index.
        Throws:
        IndexOutOfBoundsException

      • put

        public void put​(int index,
                Object value)
        This method supports the Avro framework and is not intended to be called directly by the user.
        Specified by:
        put in interface org.apache.avro.generic.IndexedRecord
        Parameters:
        index - the position of the field to set
        value - the value to set
        Throws:
        IndexOutOfBoundsException

      • hashCode

        public int hashCode()
        Overrides:
        hashCode in class Object