Examples with UnaryTupleList mondrian.calc.impl.UnaryTupleList used on opensource projects

Example 1 with UnaryTupleList

use of mondrian.calc.impl.UnaryTupleList in project mondrian by pentaho.

the class AggregationOnDistinctCountMeasuresTest method testShouldNotRemoveDuplicateTuples.

public void testShouldNotRemoveDuplicateTuples() {
    Member maleChildMember = member(Id.Segment.toList("Gender", "All Gender", "M"), salesCubeSchemaReader);
    Member femaleChildMember = member(Id.Segment.toList("Gender", "All Gender", "F"), salesCubeSchemaReader);
    List<Member> memberList = new ArrayList<Member>();
    memberList.add(maleChildMember);
    memberList.add(maleChildMember);
    memberList.add(femaleChildMember);
    TupleList tuples = new UnaryTupleList(memberList);
    tuples = optimizeChildren(tuples);
    assertEquals(3, tuples.size());
}

Example 2 with UnaryTupleList

use of mondrian.calc.impl.UnaryTupleList in project mondrian by pentaho.

the class AggregationOnDistinctCountMeasuresTest method testMemberCountIsNotSameForAllMembersInTuple.

public void testMemberCountIsNotSameForAllMembersInTuple() {
    Member maleChild = member(Id.Segment.toList("Gender", "All Gender", "M"), salesCubeSchemaReader);
    Member femaleChild = member(Id.Segment.toList("Gender", "All Gender", "F"), salesCubeSchemaReader);
    Member mexicoMember = member(Id.Segment.toList("Store", "All Stores", "Mexico"), salesCubeSchemaReader);
    TupleList memberList = new UnaryTupleList(Collections.singletonList(maleChild));
    TupleList list2 = storeMembersUsaAndCanada(false, salesCubeSchemaReader, salesCube);
    memberList = mutableCrossJoin(memberList, list2);
    memberList.addTuple(femaleChild, mexicoMember);
    Map<Member, Integer>[] memberCounterMap = AggregateFunDef.AggregateCalc.membersVersusOccurencesInTuple(memberList);
    assertFalse(Util.areOccurencesEqual(memberCounterMap[0].values()));
    assertTrue(Util.areOccurencesEqual(memberCounterMap[1].values()));
}

Example 3 with UnaryTupleList

use of mondrian.calc.impl.UnaryTupleList in project mondrian by pentaho.

the class LastPeriodsFunDef method compileCall.

public Calc compileCall(ResolvedFunCall call, ExpCompiler compiler) {
    // Member defaults to [Time].currentmember
    Exp[] args = call.getArgs();
    final MemberCalc memberCalc;
    if (args.length == 1) {
        final RolapHierarchy timeHierarchy = ((RolapCube) compiler.getEvaluator().getCube()).getTimeHierarchy(getName());
        memberCalc = new HierarchyCurrentMemberFunDef.FixedCalcImpl(call, timeHierarchy);
    } else {
        memberCalc = compiler.compileMember(args[1]);
    }
    // Numeric Expression.
    final IntegerCalc indexValueCalc = compiler.compileInteger(args[0]);
    return new AbstractListCalc(call, new Calc[] { memberCalc, indexValueCalc }) {

        public TupleList evaluateList(Evaluator evaluator) {
            Member member = memberCalc.evaluateMember(evaluator);
            int indexValue = indexValueCalc.evaluateInteger(evaluator);
            return new UnaryTupleList(lastPeriods(member, evaluator, indexValue));
        }
    };
}

Example 4 with UnaryTupleList

use of mondrian.calc.impl.UnaryTupleList in project mondrian by pentaho.

the class PeriodsToDateFunDef method compileCall.

public Calc compileCall(ResolvedFunCall call, ExpCompiler compiler) {
    final LevelCalc levelCalc = call.getArgCount() > 0 ? compiler.compileLevel(call.getArg(0)) : null;
    final MemberCalc memberCalc = call.getArgCount() > 1 ? compiler.compileMember(call.getArg(1)) : null;
    final RolapHierarchy timeHierarchy = levelCalc == null ? ((RolapCube) compiler.getEvaluator().getCube()).getTimeHierarchy(getName()) : null;
    return new AbstractListCalc(call, new Calc[] { levelCalc, memberCalc }) {

        public TupleList evaluateList(Evaluator evaluator) {
            final Member member;
            final Level level;
            if (levelCalc == null) {
                member = evaluator.getContext(timeHierarchy);
                level = member.getLevel().getParentLevel();
            } else {
                level = levelCalc.evaluateLevel(evaluator);
                if (memberCalc == null) {
                    member = evaluator.getContext(level.getHierarchy());
                } else {
                    member = memberCalc.evaluateMember(evaluator);
                }
            }
            return new UnaryTupleList(periodsToDate(evaluator, level, member));
        }

        public boolean dependsOn(Hierarchy hierarchy) {
            if (super.dependsOn(hierarchy)) {
                return true;
            }
            if (memberCalc != null) {
                return false;
            } else if (levelCalc != null) {
                return levelCalc.getType().usesHierarchy(hierarchy, true);
            } else {
                return hierarchy == timeHierarchy;
            }
        }
    };
}

Example 5 with UnaryTupleList

use of mondrian.calc.impl.UnaryTupleList in project mondrian by pentaho.

the class SqlTupleReader method readTuples.

public TupleList readTuples(DataSource jdbcConnection, TupleList partialResult, List<List<RolapMember>> newPartialResult) {
    // The following algorithm will first group targets based on the cubes
    // that are applicable to each.  This allows loading the tuple data
    // in groups that join correctly to the associated fact table.
    // Once each group has been loaded, results of each are
    // brought together in a crossjoin, and then projected into a new
    // tuple list based on the ordering originally specified by the
    // targets list.
    // For non-virtual cube queries there is only a single
    // targetGroup.
    List<List<TargetBase>> targetGroups = groupTargets(targets, constraint.getEvaluator().getQuery());
    List<TupleList> tupleLists = new ArrayList<>();
    for (List<TargetBase> targetGroup : targetGroups) {
        prepareTuples(jdbcConnection, partialResult, newPartialResult, targetGroup);
        int size = targetGroup.size();
        final Iterator<Member>[] iter = new Iterator[size];
        for (int i = 0; i < size; i++) {
            TargetBase t = targetGroup.get(i);
            iter[i] = t.close().iterator();
        }
        List<Member> members = new ArrayList<>();
        while (iter[0].hasNext()) {
            for (int i = 0; i < size; i++) {
                members.add(iter[i].next());
            }
        }
        tupleLists.add(size + emptySets == 1 ? new UnaryTupleList(members) : new ListTupleList(size + emptySets, members));
    }
    if (tupleLists.isEmpty()) {
        return TupleCollections.emptyList(targets.size());
    }
    TupleList tupleList = CrossJoinFunDef.mutableCrossJoin(tupleLists);
    if (!tupleList.isEmpty() && targetGroups.size() > 1) {
        tupleList = projectTupleList(tupleList);
    }
    // need to hierarchize the columns from the enumerated targets
    // since we didn't necessarily add them in the order in which
    // they originally appeared in the cross product
    int enumTargetCount = getEnumTargetCount();
    if (enumTargetCount > 0) {
        tupleList = FunUtil.hierarchizeTupleList(tupleList, false);
    }
    return tupleList;
}