Package edu.brown.designer.partitioners.BranchAndBoundPartitioner

Examples of edu.brown.designer.partitioners.BranchAndBoundPartitioner.TraverseThread


        hints.enable_procparameter_search = false;
        this.partitioner.setParameters(agraph, table_visit_order, proc_visit_order);
        this.partitioner.init(this.hints);
       
        StateVertex start_vertex = StateVertex.getStartVertex(Double.MAX_VALUE, Long.MAX_VALUE);
        TraverseThread thread = this.partitioner.new TraverseThread(info, hints, start_vertex, agraph, table_visit_order, proc_visit_order);
        assertNotNull(thread);
        thread.traverse(start_vertex, 0);
        this.partitioner.getHaltReason();
       
        // Make sure that the solution we pick has a memory and a cost
        StateVertex best_vertex = this.partitioner.getBestVertex();
        assertNotNull(best_vertex);
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        hints.max_memory_per_partition = Long.MAX_VALUE;
        this.partitioner.setParameters(agraph, table_visit_order, proc_visit_order);
        this.partitioner.init(this.hints);
       
        StateVertex start_vertex = StateVertex.getStartVertex(Double.MAX_VALUE, Long.MAX_VALUE);
        TraverseThread thread = this.partitioner.new TraverseThread(info, hints, start_vertex, agraph, table_visit_order, proc_visit_order);
        assertNotNull(thread);
        thread.traverse(start_vertex, 0);
       
        // Make sure that the solution we pick has a memory and a cost
        StateVertex best_vertex = this.partitioner.getBestVertex();
        assertNotNull(best_vertex);
        Map<CatalogType, CatalogType> m = best_vertex.getCatalogMap(catalog_db);
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