Examples with AggregationFunction org.apache.flink.api.java.aggregation.AggregationFunction used on opensource projects

Example 1 with AggregationFunction

use of org.apache.flink.api.java.aggregation.AggregationFunction in project flink by apache.

the class ScalaAggregateOperator method translateToDataFlow.

@SuppressWarnings("unchecked")
@Override
protected org.apache.flink.api.common.operators.base.GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>> translateToDataFlow(Operator<IN> input) {
    // sanity check
    if (this.aggregationFunctions.isEmpty() || this.aggregationFunctions.size() != this.fields.size()) {
        throw new IllegalStateException();
    }
    // construct the aggregation function
    AggregationFunction<Object>[] aggFunctions = new AggregationFunction[this.aggregationFunctions.size()];
    int[] fields = new int[this.fields.size()];
    StringBuilder genName = new StringBuilder();
    for (int i = 0; i < fields.length; i++) {
        aggFunctions[i] = (AggregationFunction<Object>) this.aggregationFunctions.get(i);
        fields[i] = this.fields.get(i);
        genName.append(aggFunctions[i].toString()).append('(').append(fields[i]).append(')').append(',');
    }
    genName.setLength(genName.length() - 1);
    @SuppressWarnings("rawtypes") RichGroupReduceFunction<IN, IN> function = new AggregatingUdf(getInputType(), aggFunctions, fields);
    String name = getName() != null ? getName() : genName.toString();
    // distinguish between grouped reduce and non-grouped reduce
    if (this.grouping == null) {
        // non grouped aggregation
        UnaryOperatorInformation<IN, IN> operatorInfo = new UnaryOperatorInformation<>(getInputType(), getResultType());
        GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>> po = new GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>>(function, operatorInfo, new int[0], name);
        po.setCombinable(true);
        // set input
        po.setInput(input);
        // set parallelism
        po.setParallelism(this.getParallelism());
        return po;
    }
    if (this.grouping.getKeys() instanceof Keys.ExpressionKeys) {
        // grouped aggregation
        int[] logicalKeyPositions = this.grouping.getKeys().computeLogicalKeyPositions();
        UnaryOperatorInformation<IN, IN> operatorInfo = new UnaryOperatorInformation<>(getInputType(), getResultType());
        GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>> po = new GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>>(function, operatorInfo, logicalKeyPositions, name);
        po.setCombinable(true);
        // set input
        po.setInput(input);
        // set parallelism
        po.setParallelism(this.getParallelism());
        SingleInputSemanticProperties props = new SingleInputSemanticProperties();
        for (int keyField : logicalKeyPositions) {
            boolean keyFieldUsedInAgg = false;
            for (int aggField : fields) {
                if (keyField == aggField) {
                    keyFieldUsedInAgg = true;
                    break;
                }
            }
            if (!keyFieldUsedInAgg) {
                props.addForwardedField(keyField, keyField);
            }
        }
        po.setSemanticProperties(props);
        po.setCustomPartitioner(grouping.getCustomPartitioner());
        return po;
    } else if (this.grouping.getKeys() instanceof Keys.SelectorFunctionKeys) {
        throw new UnsupportedOperationException("Aggregate does not support grouping with KeySelector functions, yet.");
    } else {
        throw new UnsupportedOperationException("Unrecognized key type.");
    }
}

Example 2 with AggregationFunction

use of org.apache.flink.api.java.aggregation.AggregationFunction in project flink by apache.

the class AggregateOperator method translateToDataFlow.

@SuppressWarnings("unchecked")
@Override
@Internal
protected org.apache.flink.api.common.operators.base.GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>> translateToDataFlow(Operator<IN> input) {
    // sanity check
    if (this.aggregationFunctions.isEmpty() || this.aggregationFunctions.size() != this.fields.size()) {
        throw new IllegalStateException();
    }
    // construct the aggregation function
    AggregationFunction<Object>[] aggFunctions = new AggregationFunction[this.aggregationFunctions.size()];
    int[] fields = new int[this.fields.size()];
    StringBuilder genName = new StringBuilder();
    for (int i = 0; i < fields.length; i++) {
        aggFunctions[i] = (AggregationFunction<Object>) this.aggregationFunctions.get(i);
        fields[i] = this.fields.get(i);
        genName.append(aggFunctions[i].toString()).append('(').append(fields[i]).append(')').append(',');
    }
    genName.append(" at ").append(aggregateLocationName);
    genName.setLength(genName.length() - 1);
    @SuppressWarnings("rawtypes") RichGroupReduceFunction<IN, IN> function = new AggregatingUdf(aggFunctions, fields);
    String name = getName() != null ? getName() : genName.toString();
    // distinguish between grouped reduce and non-grouped reduce
    if (this.grouping == null) {
        // non grouped aggregation
        UnaryOperatorInformation<IN, IN> operatorInfo = new UnaryOperatorInformation<>(getInputType(), getResultType());
        GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>> po = new GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>>(function, operatorInfo, new int[0], name);
        po.setCombinable(true);
        // set input
        po.setInput(input);
        // set parallelism
        po.setParallelism(this.getParallelism());
        return po;
    }
    if (this.grouping.getKeys() instanceof Keys.ExpressionKeys) {
        // grouped aggregation
        int[] logicalKeyPositions = this.grouping.getKeys().computeLogicalKeyPositions();
        UnaryOperatorInformation<IN, IN> operatorInfo = new UnaryOperatorInformation<>(getInputType(), getResultType());
        GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>> po = new GroupReduceOperatorBase<IN, IN, GroupReduceFunction<IN, IN>>(function, operatorInfo, logicalKeyPositions, name);
        po.setCombinable(true);
        po.setInput(input);
        po.setParallelism(this.getParallelism());
        po.setCustomPartitioner(grouping.getCustomPartitioner());
        SingleInputSemanticProperties props = new SingleInputSemanticProperties();
        for (int keyField : logicalKeyPositions) {
            boolean keyFieldUsedInAgg = false;
            for (int aggField : fields) {
                if (keyField == aggField) {
                    keyFieldUsedInAgg = true;
                    break;
                }
            }
            if (!keyFieldUsedInAgg) {
                props.addForwardedField(keyField, keyField);
            }
        }
        po.setSemanticProperties(props);
        return po;
    } else if (this.grouping.getKeys() instanceof Keys.SelectorFunctionKeys) {
        throw new UnsupportedOperationException("Aggregate does not support grouping with KeySelector functions, yet.");
    } else {
        throw new UnsupportedOperationException("Unrecognized key type.");
    }
}