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:

After it ends:

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@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@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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