Examples of Aggregator

ar.Aggregator
An Aggregator convert glyphs into aggregate items for a specific view. The aggregator is defined such that it may be used in a fold-like operation where agg.combine(x,y, agg.combine(...), V) is a valid construction. The intended usage model is to instantiate an aggregator once per glyphset and repeatedly apply the aggregator to each pixel in the space. IN -- The type of the data element on the glyph OUT -- The type of aggregates produced
cascading.operation.Aggregator
An Aggregator takes the set of all values associated with a unique grouping and returns zero or more values. {@link cascading.operation.aggregator.MaxValue}, {@link cascading.operation.aggregator.MinValue}, {@link cascading.operation.aggregator.Count}, and {@link cascading.operation.aggregator.Average} are good examples.
Aggregator implementations should be reentrant. There is no guarantee an Aggregator instance will be executed in a unique vm, or by a single thread. The {@link #start(cascading.flow.FlowProcess,AggregatorCall)}method provides a mechanism for maintaining a 'context' object to hold intermediate values.
Note {@link TupleEntry} instances are reused internally so should not be stored. Instead use the TupleEntry or Tuplecopy constructors to make safe copies.
Since Aggregators can be chained, and Cascading pipelines all operation results, any Aggregators coming ahead of the current Aggregator must return a value before the {@link #complete(cascading.flow.FlowProcess,AggregatorCall)}method on this Aggregator is called. Subsequently, if any previous Aggregators return more than one Tuple result, this complete() method will be called for each Tuple emitted.
Thus it is a best practice to implement a {@link Buffer} when emitting more than one, or zero Tuple results. @see AggregatorCall @see OperationCall
com.asakusafw.dmdl.thundergate.model.Aggregator
com.asakusafw.modelgen.model.Aggregator
com.facebook.presto.operator.AggregationOperator.Aggregator
com.hp.hpl.jena.sparql.expr.aggregate.Aggregator
An Aggregator is the processor for the whole result stream. BindingKeys identify which section of a group we're in.
com.salesforce.phoenix.expression.aggregator.Aggregator
Interface to abstract the incremental calculation of an aggregated value. @author jtaylor @since 0.1
net.opentsdb.core.Aggregator
A function capable of aggregating multiple {@link DataPoints} together.
All aggregators must be stateless. All they can do is run through a sequence of {@link Longs Longs} or {@link Doubles Doubles} and return anaggregated value.
org.apache.accumulo.core.iterators.aggregation.Aggregator
@deprecated since 1.4, replaced by {@link org.apache.accumulo.core.iterators.Combiner}
org.apache.camel.processor.Aggregator
emq.apache.org/camel/aggregator.html">Aggregator pattern where a batch of messages are processed (up to a maximum amount or until some timeout is reached) and messages for the same correlation key are combined together using some kind of {@link AggregationStrategy ) (by default the latest message is used) to compress many message exchanges * into a smaller number of exchanges.
A good example of this is stock market data; you may be receiving 30,000 messages/second and you may want to throttle it right down so that multiple messages for the same stock are combined (or just the latest message is used and older prices are discarded). Another idea is to combine line item messages together into a single invoice message.} @version $Revision: 1.1 $ @param correlationExpression the expression used to calculate the correlationkey. For a JMS message this could be the expression header("JMSDestination") or header("JMSCorrelationID")
org.apache.hadoop.chukwa.database.Aggregator
org.apache.jackrabbit.vault.fs.api.Aggregator
Defines an artifact aggregator. It provides the {@link Aggregate} with therespective artifacts depending on the implementation and content.
org.apache.lucene.facet.old.Aggregator
Aggregates the categories of documents given to {@link #aggregate(int,float,IntsRef)}. Note that the document IDs are local to the reader given to {@link #setNextReader(AtomicReaderContext)}. @lucene.experimental
org.apache.lucene.facet.search.Aggregator
Aggregates the categories of documents given to {@link #aggregate(int,float,IntsRef)}. Note that the document IDs are local to the reader given to {@link #setNextReader(AtomicReaderContext)}. @lucene.experimental
org.apache.lucene.facet.search.aggregator.Aggregator
An Aggregator is the analogue of Lucene's Collector (see {@link org.apache.lucene.search.Collector}), for processing the categories belonging to a certain document. The Aggregator is responsible for doing whatever it wishes with the categories it is fed, e.g., counting the number of times that each category appears, or performing some computation on their association values.
Much of the function of an Aggregator implementation is not described by this interface. This includes the constructor and getter methods to retrieve the results of the aggregation. @lucene.experimental
org.apache.phoenix.expression.aggregator.Aggregator
Interface to abstract the incremental calculation of an aggregated value. @since 0.1
org.elasticsearch.search.aggregations.Aggregator
org.yaac.server.egql.evaluator.aggregator.Aggregator
@author Max Zhu (thebbsky@gmail.com)
simplenlg.aggregation.Aggregator
An Aggregator performs aggregation on clauses, by applying a set of prespecified rules on them and returning the result. @author Albert Gatt, University of Malya & University of Aberdeen
storm.trident.operation.Aggregator

Examples of ar.Aggregator

    } catch (NoSuchFieldException | NullPointerException | SecurityException e) {
      throw new IllegalArgumentException("Could not find -config indicated: " + config);
    }


    
    Aggregator aggregator = source.defaultAggregator.aggregator();
    Glyphset glyphs = source.glyphset;
    Transfer transfer = OptionTransfer.toTransfer(source.defaultTransfers, null);
  
    
    Renderer render;

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Examples of cascading.operation.Aggregator

    pipeline = new GroupBy(pipeline, new Fields("resource"));


    // For every Tuple group
    // count the number of occurrences of "word" and store result in
    // a field named "count"
    Aggregator count = new Count(new Fields("resource"));
    pipeline = new Every(pipeline, count);




    // create a SINK tap to write to the default filesystem
    // by default, TextLine writes all fields out

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Examples of com.asakusafw.dmdl.thundergate.model.Aggregator

                    "プロパティが追加されていません ({0})",
                    getReference()));
        }
        List<ModelProperty> properties = Lists.create();
        for (Column column : columns) {
            Aggregator aggregator = column.aggregator;
            Source source = column.source;
            if (aggregator == Aggregator.IDENT
                    && groupProperties.contains(source) == false) {
                throw new IllegalStateException(MessageFormat.format(
                        "プロパティ \"{0}.{1}\" は集約関数かグループ化のキーとして指定する必要があります ({2})",

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Examples of com.asakusafw.modelgen.model.Aggregator

                f.newThis(),
                common.getFieldNameOf(property.getName(), property.getType()));
        Expression other = f.newFieldAccessExpression(
                f.newSimpleName(parameterName),
                common.getFieldNameOf(property.getName(), property.getType()));
        Aggregator aggregator = source.getAggregator();
        switch (aggregator) {
        case MAX:
        case MIN:
            return new ExpressionBuilder(f, self)
                .method(aggregator.name().toLowerCase(), other)
                .toStatement();
        case SUM:
        case COUNT:
            return new ExpressionBuilder(f, self)
                .method(Constants.NAME_OPTION_ADDER, other)

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Examples of com.asakusafw.modelgen.model.Aggregator

                    "プロパティが追加されていません ({0})",
                    getReference()));
        }
        List<ModelProperty> properties = new ArrayList<ModelProperty>();
        for (Column column : columns) {
            Aggregator aggregator = column.aggregator;
            Source source = column.source;
            if (aggregator == Aggregator.IDENT
                    && groupProperties.contains(source) == false) {
                throw new IllegalStateException(MessageFormat.format(
                        "プロパティ \"{0}.{1}\" は集約関数かグループ化のキーとして指定する必要があります ({2})",

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Examples of com.facebook.presto.operator.AggregationOperator.Aggregator

        assertEquals(estimateCountPartial(values, field), expectedCount);
    }


    private long estimateCount(List<Object> values, int field)
    {
        Aggregator aggregator = createAggregator(aggregation(getAggregationFunction(), new Input(0, field)), AggregationNode.Step.SINGLE);


        if (!values.isEmpty()) {
            BlockCursor cursor = createBlock(values, field + 1).cursor();
            while (cursor.advanceNextPosition()) {
                aggregator.addValue(cursor);
            }
        }


        return (long) BlockAssertions.toValues(aggregator.getResult()).get(0).get(0);
    }

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Examples of com.hp.hpl.jena.sparql.expr.aggregate.Aggregator

            
            //And the aggregators...
            aggs2 = new ArrayList<ExprAggregator>() ;
            for ( ExprAggregator agg : aggs )
            {
                Aggregator aggregator = agg.getAggregator() ;
                Var v = agg.getVar() ;
                
                // Variable associated with the aggregate
                Expr eVar = agg.getAggVar() ;   // Not .getExprVar()
                Expr eVar2 = ExprTransformer.transform(exprTransform, eVar) ;
                if ( eVar != eVar2 )
                    changed = true ;


                // The Aggregator expression
                Expr e = aggregator.getExpr() ;
                Expr e2 = e ;
                if ( e != null )    // Null means "no relevant expression" e.g. COUNT(*)
                    ExprTransformer.transform(exprTransform, e) ;
                if ( e != e2 )
                    changed = true ;
                Aggregator a2 = aggregator.copy(e2) ;
                aggs2.add(new ExprAggregator(eVar2.asVar(), a2)) ;
            }


            OpGroup opGroup2 = opGroup ;
            if ( changed )

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Examples of com.hp.hpl.jena.sparql.expr.aggregate.Aggregator

    
    @Override
    public ExprAggregator copySubstitute(Binding binding)
    {
        Var v = var ;
        Aggregator agg = aggregator ;
        return new ExprAggregator(v, agg) ;
    }

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Examples of com.hp.hpl.jena.sparql.expr.aggregate.Aggregator

            Log.warn(this, "Attempt to convert an aggregation variable to a non-variable: ignored") ;
            node = var ;
        }
        
        Var v = (Var)node ;
        Aggregator agg = aggregator.copyTransform(transform) ;
        return new ExprAggregator(Var.alloc(node), agg) ;
    }

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Examples of com.hp.hpl.jena.sparql.expr.aggregate.Aggregator

            
            //And the aggregators...
            aggs2 = new ArrayList<ExprAggregator>() ;
            for ( ExprAggregator agg : aggs )
            {
                Aggregator aggregator = agg.getAggregator() ;
                Var v = agg.getVar() ;
                
                // Variable associated with the aggregate
                Expr eVar = agg.getAggVar() ;   // Not .getExprVar()
                Expr eVar2 = transform(eVar, exprTransform) ;
                if ( eVar != eVar2 )
                    changed = true ;


                // The Aggregator expression
                Expr e = aggregator.getExpr() ;
                Expr e2 = e ;
                if ( e != null )    // Null means "no relevant expression" e.g. COUNT(*)
                    e2 = transform(e, exprTransform) ;
                if ( e != e2 )
                    changed = true ;
                Aggregator a2 = aggregator.copy(e2) ;
                aggs2.add(new ExprAggregator(eVar2.asVar(), a2)) ;
            }


            OpGroup opGroup2 = opGroup ;
            if ( changed )

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