Run with the VM argument -Xmx512m
Use VisualVM to monitor a graph of how the memory evolves.
Read this too: http://blog.athico.com/2012/07/scaling-planner-with-jit-selectors-in.html
Op 28-01-13 20:19, André Fróes schreef:
i forgot adding the main class:-----------------
public static void main(String[] args) {String t = "<?xml version=\"1.0\" encoding=\"UTF-8\"?>"+ "<solver>"+ " <solutionClass>com.swa.planner.domain.Distributor</solutionClass>"+ " <planningEntityClass>com.swa.planner.domain.Engineer</planningEntityClass>"+ " <scoreDirectorFactory>"+ " <scoreDefinitionType>HARD_AND_SOFT</scoreDefinitionType>"+ " <scoreDrl>/com/swa/planner/domain/rule/distributorScoreRules.drl</scoreDrl>"+ " </scoreDirectorFactory>"// + " <termination>"// + " <maximumSecondsSpend>120</maximumSecondsSpend>"// + " </termination>"+ " <constructionHeuristic>"+ " <constructionHeuristicType>FIRST_FIT_DECREASING</constructionHeuristicType>"+ " <constructionHeuristicPickEarlyType>FIRST_LAST_STEP_SCORE_EQUAL_OR_IMPROVING</constructionHeuristicPickEarlyType>"+ " </constructionHeuristic>"+ " <localSearch>"+ " <acceptor>"+ " <planningEntityTabuSize>7</planningEntityTabuSize>"+ " </acceptor>"+ " <forager>"+ " <minimalAcceptedSelection>1000</minimalAcceptedSelection>"+ " </forager>" + " </localSearch>" + "</solver>";
byte b[] = t.getBytes();ByteArrayInputStream bt = new ByteArrayInputStream(b);SolverFactory solverFactory = new XmlSolverFactory().configure(bt);Solver solver = solverFactory.buildSolver();List<Engineer> engineerList = new ArrayList<Engineer>();engineerList.add(new Engineer(1L, "Aladin", 8));engineerList.add(new Engineer(2L, "Chuck Norris", 8));engineerList.add(new Engineer(3L, "Rambo", 8));engineerList.add(new Engineer(4L, "Mr. Miyagi", 8));engineerList.add(new Engineer(5L, "Monkey D. Ruffy", 8));List<WorkOrder> workOrderList = new ArrayList<WorkOrder>();workOrderList.add(new WorkOrder(6L, 1, 2));workOrderList.add(new WorkOrder(7L, 1, 6));workOrderList.add(new WorkOrder(8L, 1, 3));workOrderList.add(new WorkOrder(9L, 1, 3));workOrderList.add(new WorkOrder(10L, 1, 2));workOrderList.add(new WorkOrder(11L, 1, 8));workOrderList.add(new WorkOrder(12L, 1, 8));workOrderList.add(new WorkOrder(13L, 1, 2));workOrderList.add(new WorkOrder(14L, 1, 2));workOrderList.add(new WorkOrder(15L, 1, 4));
Distributor distributor = new Distributor();distributor.setId(0L);distributor.setEngineerList(engineerList);distributor.setWorkOrderList(workOrderList);
solver.setPlanningProblem(distributor);solver.solve();Distributor solvedWorkOrderDistribution = (Distributor) solver.getBestSolution();
System.out.printf("\nSolved distribution with %d work orders and %d engineers:\n%s",workOrderList.size(), engineerList.size(),toDisplayString(solvedWorkOrderDistribution));}
public static String toDisplayString(Distributor distributor) {StringBuilder displayString = new StringBuilder();for (Engineer engineer : distributor.getEngineerList()) {WorkOrder order = engineer.getWorkOrder();displayString.append(" ").append(engineer.getLabel()).append(" : ").append(order == null ? null : order.getLabel()).append("\n");}return displayString.toString();}
2013/1/28 André Fróes <arfmoraes@gmail.com>
Hello! After trying cloudComputer example i'm trying to implement my own schedule distributor, but now i'm facing heap space error, but i see that it does distribute some work orders. Here's the console error:
-------------------17:05:02.776 [main] INFO o.d.p.core.solver.DefaultSolver - Solving started: time spend (255), score (null), new best score (null), random seed (0).17:05:02.821 [main] DEBUG o.d.p.c.c.g.DefaultGreedyFitSolverPhase - Step index (0), time spend (309), score (0hard/0soft), initialized planning entity ([Engineer-5]).17:05:02.822 [main] DEBUG o.d.p.c.c.g.DefaultGreedyFitSolverPhase - Step index (1), time spend (310), score (0hard/0soft), initialized planning entity ([Engineer-4]).17:05:02.824 [main] DEBUG o.d.p.c.c.g.DefaultGreedyFitSolverPhase - Step index (2), time spend (311), score (0hard/0soft), initialized planning entity ([Engineer-3]).17:05:02.824 [main] DEBUG o.d.p.c.c.g.DefaultGreedyFitSolverPhase - Step index (3), time spend (312), score (0hard/0soft), initialized planning entity ([Engineer-2]).17:05:02.825 [main] DEBUG o.d.p.c.c.g.DefaultGreedyFitSolverPhase - Step index (4), time spend (313), score (0hard/0soft), initialized planning entity ([Engineer-1]).17:05:02.825 [main] INFO o.d.p.c.c.g.DefaultGreedyFitSolverPhase - Phase constructionHeuristic ended: step total (5), time spend (313), best score (0hard/0soft).17:05:03.020 [main] DEBUG o.d.p.c.l.DefaultLocalSearchSolverPhase - Step index (0), time spend (508), score (0hard/0soft), best score (0hard/0soft), accepted/selected move count (1000/1000) for picked step ([Engineer-3] => [WorkOrder-12]).17:05:03.315 [main] DEBUG o.d.p.c.l.DefaultLocalSearchSolverPhase - Step index (1), time spend (803), score (0hard/0soft), best score (0hard/0soft), accepted/selected move count (1000/1703) for picked step ([Engineer-4] => [WorkOrder-8]).17:05:03.736 [main] DEBUG o.d.p.c.l.DefaultLocalSearchSolverPhase - Step index (2), time spend (1224), score (0hard/0soft), best score (0hard/0soft), accepted/selected move count (1000/2657) for picked step ([Engineer-1] => [WorkOrder-8]).17:05:03.951 [main] DEBUG o.d.p.c.l.DefaultLocalSearchSolverPhase - Step index (3), time spend (1439), score (0hard/0soft), best score (0hard/0soft), accepted/selected move count (1000/4315) for picked step ([Engineer-5] => [WorkOrder-9]).17:05:04.251 [main] DEBUG o.d.p.c.l.DefaultLocalSearchSolverPhase - Step index (4), time spend (1739), score (0hard/0soft), best score (0hard/0soft), accepted/selected move count (1000/9309) for picked step ([Engineer-2] => [WorkOrder-9]).Exception in thread "main" java.lang.OutOfMemoryError: Java heap spaceat java.util.Arrays.copyOf(Unknown Source)at java.util.Arrays.copyOf(Unknown Source)at java.util.ArrayList.grow(Unknown Source)at java.util.ArrayList.ensureCapacityInternal(Unknown Source)at java.util.ArrayList.add(Unknown Source)at org.drools.planner.core.localsearch.decider.forager.AcceptedForager.addToMaxScoreUnacceptedList(AcceptedForager.java:143)at org.drools.planner.core.localsearch.decider.forager.AcceptedForager.addMove(AcceptedForager.java:101)at org.drools.planner.core.localsearch.decider.DefaultDecider.processMove(DefaultDecider.java:164)at org.drools.planner.core.localsearch.decider.DefaultDecider.doMove(DefaultDecider.java:144)at org.drools.planner.core.localsearch.decider.DefaultDecider.decideNextStep(DefaultDecider.java:116)at org.drools.planner.core.localsearch.DefaultLocalSearchSolverPhase.solve(DefaultLocalSearchSolverPhase.java:62)at org.drools.planner.core.solver.DefaultSolver.runSolverPhases(DefaultSolver.java:190)at org.drools.planner.core.solver.DefaultSolver.solve(DefaultSolver.java:155)at com.swa.planner.domain.WorkOrderTest.main(WorkOrderTest.java:66)------------------------
it does distribute some engineers to work orders, but after a while, it just show the error.
The drl is very simple:
--------------------------import org.drools.planner.core.score.buildin.hardandsoft.HardAndSoftScoreHolder;import org.drools.planner.core.score.constraint.IntConstraintOccurrence;import org.drools.planner.core.score.constraint.ConstraintType;
import com.swa.planner.domain.Distributor;import com.swa.planner.domain.Engineer;import com.swa.planner.domain.WorkOrder;
global HardAndSoftScoreHolder scoreHolder;
rule "requiredTimeToFinish"when$workOrder : WorkOrder($time : time)$requiredTimeTotal : Number(intValue > $time) from accumulate(Engineer (workOrder == $workOrder,$requiredTime : worktime),sum($requiredTime))theninsertLogical(new IntConstraintOccurrence("requiredTimeToFinish", ConstraintType.NEGATIVE_HARD,$requiredTimeTotal.intValue() - $time,$workOrder));end
rule "hardConstraintBroken"salience -1when$hardTotal : Number() from accumulate(IntConstraintOccurrence(constraintType == ConstraintType.NEGATIVE_HARD, $weight : weight)sum($weight))thenscoreHolder.setHardConstraintsBroken($hardTotal.intValue());end--------------------------
i guess no error there, i believe that i'm missing when doing the strenght and difficulty comparators dince i didn't really understood the getMultiplicand thing of CloudComputer.
here's the implementation, also kept as simple as possible (and probably wrong):
------------public class WorkOrderStrengthComparator implements Comparator<WorkOrder> {
public int compare(WorkOrder a, WorkOrder b) {return new CompareToBuilder().append(a.getTime(), b.getTime()).append(b.getId(), a.getId()).toComparison();}
}------------public class EngineerDifficultyComparator implements Comparator<Engineer> {
public int compare(Engineer a, Engineer b) {return new CompareToBuilder().append(a.getWorktime(), b.getWorktime()).append(a.getId(), b.getId()).toComparison();}
}------------
i'm missing something at these comparators ain't I?
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