Examples of mondrian.calc.impl.UnaryTupleList

mondrian.calc.impl.UnaryTupleList
Implementation of {@link TupleList} where the tuples are unary (each tupleconsists of just one {@link Member}).
It is implemented as a straightforward wrapper on a backing list. You can provide the backing list explicitly using the {@link #UnaryTupleList(java.util.List)} constructor, and you can access thebacking list by calling {@link #slice}(0). @author jhyde

                        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)) {

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                    final SchemaReader schemaReader =
                        evaluator.getSchemaReader();
                    descendantsLeavesByDepth(
                        member, result, schemaReader, depth);
                    hierarchizeMemberList(result, false);
                    return new UnaryTupleList(result);
                }
            };
        } else if (depthSpecified) {
            final IntegerCalc depthCalc =
                compiler.compileInteger(call.getArg(1));
            final Flag flag1 = flag;
            return new AbstractListCalc(
                call, new Calc[] {memberCalc, depthCalc})
            {
                public TupleList evaluateList(Evaluator evaluator) {
                    final Member member = memberCalc.evaluateMember(evaluator);
                    List<Member> result = new ArrayList<Member>();
                    final int depth = depthCalc.evaluateInteger(evaluator);
                    final SchemaReader schemaReader =
                        evaluator.getSchemaReader();
                    descendantsByDepth(
                        member, result, schemaReader,
                        depth, flag1.before, flag1.self, flag1.after,
                        evaluator);
                    hierarchizeMemberList(result, false);
                    return new UnaryTupleList(result);
                }
            };
        } else {
            final LevelCalc levelCalc =
                call.getArgCount() > 1
                ? compiler.compileLevel(call.getArg(1))
                : null;
            final Flag flag2 = flag;
            return new AbstractListCalc(
                call, new Calc[] {memberCalc, levelCalc})
            {
                public TupleList evaluateList(Evaluator evaluator) {
                    final Evaluator context =
                            evaluator.isNonEmpty() ? evaluator : null;
                    final Member member = memberCalc.evaluateMember(evaluator);
                    List<Member> result = new ArrayList<Member>();
                    final SchemaReader schemaReader =
                        evaluator.getSchemaReader();
                    final Level level =
                        levelCalc != null
                        ? levelCalc.evaluateLevel(evaluator)
                        : member.getLevel();
                    descendantsByLevel(
                        schemaReader, member, level, result,
                        flag2.before, flag2.self,
                        flag2.after, flag2.leaves, context);
                    hierarchizeMemberList(result, false);
                    return new UnaryTupleList(result);
                }
            };
        }
    }

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        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());
    }

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            member(
                Id.Segment.toList("Store", "All Stores", "Mexico"),
                salesCubeSchemaReader);


        TupleList memberList =
            new UnaryTupleList(
                Collections.singletonList(maleChild));


        memberList = CrossJoinFunDef.mutableCrossJoin(
            memberList,
            storeMembersUsaAndCanada(
                false, salesCubeSchemaReader, salesCube));


        memberList.addTuple(femaleChild, mexicoMember);


        Map<Member, Integer>[] memberCounterMap =
            AggregateFunDef.AggregateCalc.membersVersusOccurencesInTuple(
                memberList);

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    {
        prepareTuples(dataSource, partialResult, newPartialResult);


        assert targets.size() == 1;


        return new UnaryTupleList(
            targets.get(0).close());
    }

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        final Level level = getLevel(compiler.getEvaluator());
        switch (call.getArgCount()) {
        case 0:
            return new AbstractListCalc(call, new Calc[0]) {
                public TupleList evaluateList(Evaluator evaluator) {
                    return new UnaryTupleList(
                        periodsToDate(evaluator, level, null));
                }


                public boolean dependsOn(Hierarchy hierarchy) {
                    return hierarchy.getDimension().getDimensionType()
                        == mondrian.olap.DimensionType.TimeDimension;
                }
            };
        default:
            final MemberCalc memberCalc =
                compiler.compileMember(call.getArg(0));
            return new AbstractListCalc(call, new Calc[] {memberCalc}) {
                public TupleList evaluateList(Evaluator evaluator) {
                    return new UnaryTupleList(
                        periodsToDate(
                            evaluator,
                            level,
                            memberCalc.evaluateMember(evaluator)));
                }

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            }
        }


        assert targets.size() == 1;


        return new UnaryTupleList(
            bumpNullMember(
                targets.get(0).close()));
    }

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            }
        }


        TupleList tupleList =
            n + emptySets == 1
                ? new UnaryTupleList(members)
                : new ListTupleList(n + emptySets, members);


        // 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

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mondrian.olap.fun.DescendantsFunDef

mondrian.olap.fun.DrilldownLevelFunDef

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mondrian.olap.fun.PeriodsToDateFunDef

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mondrian.olap.fun.VisualTotalsFunDef$CalcImpl

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mondrian.olap.Member

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