mondrian.olap.fun

Class AggregateFunDef.AggregateCalc

java.lang.Object

mondrian.calc.impl.AbstractCalc

mondrian.calc.impl.GenericCalc

mondrian.olap.fun.AggregateFunDef.AggregateCalc

All Implemented Interfaces:

BooleanCalc, Calc, DateTimeCalc, DimensionCalc, DoubleCalc, HierarchyCalc, IntegerCalc, LevelCalc, MemberCalc, StringCalc, TupleCalc, VoidCalc

Enclosing class:

AggregateFunDef

public static class AggregateFunDef.AggregateCalc
extends GenericCalc

Field Summary

Fields inherited from class mondrian.calc.impl.AbstractCalc

exp, type

Constructor Summary

Constructors

Constructor and Description
AggregateCalc(Exp exp, ListCalc listCalc, Calc calc)
AggregateCalc(Exp exp, ListCalc listCalc, Calc calc, Member member)

Method Summary

Modifier and Type	Method and Description
static Object	aggregate(Calc calc, Evaluator evaluator, TupleList tupleList) Computes an expression for each element of a list, and aggregates the result according to the evaluation context's current aggregation strategy.
boolean	dependsOn(Hierarchy hierarchy) Returns whether this expression depends upon a given hierarchy.
Object	evaluate(Evaluator evaluator) Evaluates this expression.
static boolean	isSuperSet(Member[] tuple1, Member[] tuple2) Returns whether tuple1 is a superset of tuple2.
static Map<Member,Integer>[]	membersVersusOccurencesInTuple(TupleList tupleList) Finds member occurrences in tuple and generates a map of Members versus their occurrences in tuples.
static TupleList	optimizeChildren(TupleList tuples, SchemaReader reader, Cube baseCubeForMeasure) In distinct Count aggregation, if tuple list is a result m.children * n.children then it can be optimized to m * n
static TupleList	optimizeTupleList(Evaluator evaluator, TupleList tupleList, boolean checkSize)
static TupleList	removeOverlappingTupleEntries(TupleList list) In case of distinct count aggregation if a tuple which is a super set of other tuples in the set exists then the child tuples can be ignored.

Methods inherited from class mondrian.calc.impl.GenericCalc

evaluateBoolean, evaluateDateTime, evaluateDimension, evaluateDouble, evaluateHierarchy, evaluateInteger, evaluateLevel, evaluateMember, evaluateString, evaluateTuple, evaluateVoid, numberToDouble

Methods inherited from class mondrian.calc.impl.AbstractCalc

accept, anyDepends, anyDependsButFirst, butDepends, collectArguments, getArguments, getCalcs, getName, getResultStyle, getType, isWrapperFor, simplifyEvaluator, unwrap

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface mondrian.calc.Calc

accept, getResultStyle, getType, isWrapperFor, unwrap

Constructor Detail

AggregateCalc

public AggregateCalc(Exp exp,
                     ListCalc listCalc,
                     Calc calc,
                     Member member)

AggregateCalc

public AggregateCalc(Exp exp,
                     ListCalc listCalc,
                     Calc calc)

Method Detail

evaluate

public Object evaluate(Evaluator evaluator)

Description copied from interface: Calc

Evaluates this expression.

Parameters:

evaluator - Provides dimensional context in which to evaluate this expression

Returns:

Result of expression evaluation

aggregate

public static Object aggregate(Calc calc,
                               Evaluator evaluator,
                               TupleList tupleList)

Computes an expression for each element of a list, and aggregates the result according to the evaluation context's current aggregation strategy.

Parameters:

calc - Compiled expression to evaluate a scalar

evaluator - Evaluation context

tupleList - List of members or tuples

Returns:

Aggregated result

optimizeTupleList

public static TupleList optimizeTupleList(Evaluator evaluator,
                                          TupleList tupleList,
                                          boolean checkSize)

removeOverlappingTupleEntries

public static TupleList removeOverlappingTupleEntries(TupleList list)

In case of distinct count aggregation if a tuple which is a super set of other tuples in the set exists then the child tuples can be ignored.

For example. A list consisting of: (Gender.[All Gender], [Product].[All Products]), (Gender.[F], [Product].[Drink]), (Gender.[M], [Product].[Food]) Can be optimized to: (Gender.[All Gender], [Product].[All Products])

Parameters:

list - List of tuples

isSuperSet

public static boolean isSuperSet(Member[] tuple1,
                                 Member[] tuple2)

Returns whether tuple1 is a superset of tuple2.

Parameters:

tuple1 - First tuple

tuple2 - Second tuple

Returns:

boolean Whether tuple1 is a superset of tuple2

dependsOn

public boolean dependsOn(Hierarchy hierarchy)

Description copied from interface: Calc

Returns whether this expression depends upon a given hierarchy.

If it does not depend on the hierarchy, then re-evaluating the expression with a different member of this context must produce the same answer.

Some examples:

• The expression

  [Measures].[Unit Sales]

  depends on all dimensions except [Measures].
• The boolean expression

  ([Measures].[Unit Sales], [Time].[1997]) > 1000

  depends on all hierarchies except [Measures] and [Time].
• The list expression

  Filter([Store].[USA].Children, [Measures].[Unit Sales] < 50)

  depends upon all hierarchies except [Store] and [Measures]. How so? Normally the scalar expression would depend upon all hierarchies except [Measures], but the Filter function sets the [Store] context before evaluating the scalar expression, so it is not inherited from the surrounding context.

Specified by:

dependsOn in interface Calc

Overrides:

dependsOn in class AbstractCalc

Parameters:

hierarchy - Hierarchy

Returns:

Whether this expression's result depends upon the current member of the hierarchy

optimizeChildren

public static TupleList optimizeChildren(TupleList tuples,
                                         SchemaReader reader,
                                         Cube baseCubeForMeasure)

In distinct Count aggregation, if tuple list is a result m.children * n.children then it can be optimized to m * n

E.g. List consist of: (Gender.[F], [Store].[USA]), (Gender.[F], [Store].[USA].[OR]), (Gender.[F], [Store].[USA].[CA]), (Gender.[F], [Store].[USA].[WA]), (Gender.[F], [Store].[CANADA]) (Gender.[M], [Store].[USA]), (Gender.[M], [Store].[USA].[OR]), (Gender.[M], [Store].[USA].[CA]), (Gender.[M], [Store].[USA].[WA]), (Gender.[M], [Store].[CANADA]) Can be optimized to: (Gender.[All Gender], [Store].[USA]) (Gender.[All Gender], [Store].[CANADA])

Parameters:

tuples - Tuples

reader - Schema reader

baseCubeForMeasure - Cube

Returns:

xxxx

membersVersusOccurencesInTuple

public static Map<Member,Integer>[] membersVersusOccurencesInTuple(TupleList tupleList)

Finds member occurrences in tuple and generates a map of Members versus their occurrences in tuples.

Parameters:

tupleList - List of tuples

Returns:

Map of the number of occurrences of each member in a tuple