i've set the xmx even to 1024m and still heap space. Enabling the
VisualVM, I couldn't get my main method to be displayed there, it just
doesn't show up there at visualvm local, but I can see the graphic
increasing significantly. Here's how it is before and after i run the main
method:
Before start:
[image: Imagem inline 1]
After it ends:
[image: Imagem inline 2]
I'm missing something when constructing my logic or comparator, even when
reducing the number of workorders it still happening:
WorkOrder now (graphic):
List<WorkOrder> workOrderList = new ArrayList<WorkOrder>();
workOrderList.add(new WorkOrder(6L, 1, 2));
workOrderList.add(new WorkOrder(7L, 2, 6));
workOrderList.add(new WorkOrder(8L, 3, 3));
workOrderList.add(new WorkOrder(9L, 4, 3));
workOrderList.add(new WorkOrder(10L, 5, 2));
total: 16 hours (last attribute)
Engineers now (graphic)
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));
total: 40 hour (here will be done the schedule of the 16 hours above)
2013/1/29 Geoffrey De Smet <ge0ffrey.spam(a)gmail.com>
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(a)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 space
> at 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)
> )
> then
> insertLogical(new IntConstraintOccurrence("requiredTimeToFinish",
> ConstraintType.NEGATIVE_HARD,
> $requiredTimeTotal.intValue() - $time,
> $workOrder));
> end
>
> rule "hardConstraintBroken"
> salience -1
> when
> $hardTotal : Number() from accumulate(
> IntConstraintOccurrence(constraintType == ConstraintType.NEGATIVE_HARD,
> $weight : weight)
> sum($weight)
> )
> then
> scoreHolder.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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