Package com.facebook.presto.operator.aggregation

Examples of com.facebook.presto.operator.aggregation.InternalAggregationFunction.bind()

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                ImmutableList.of(COUNT.bind(ImmutableList.of(0), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        LONG_SUM.bind(ImmutableList.of(3), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        LONG_AVERAGE.bind(ImmutableList.of(3), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        VAR_BINARY_MAX.bind(ImmutableList.of(2), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        countVarcharColumn.bind(ImmutableList.of(0), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        countBooleanColumn.bind(ImmutableList.of(4), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0)),
                100_000);

        Operator operator = operatorFactory.createOperator(driverContext);

        MaterializedResult expected = resultBuilder(driverContext.getSession(), VARCHAR, BIGINT, BIGINT, DOUBLE, VARCHAR, BIGINT, BIGINT)
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                Step.SINGLE,
                ImmutableList.of(COUNT.bind(ImmutableList.of(0), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        LONG_SUM.bind(ImmutableList.of(1), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        LONG_AVERAGE.bind(ImmutableList.of(1), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        VAR_BINARY_MAX.bind(ImmutableList.of(2), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        countVarcharColumn.bind(ImmutableList.of(0), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        LONG_SUM.bind(ImmutableList.of(3), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        DOUBLE_SUM.bind(ImmutableList.of(4), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0),
                        VAR_BINARY_MAX.bind(ImmutableList.of(5), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0)));
        Operator operator = operatorFactory.createOperator(driverContext);
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        typeRegistry.addType(new ClassifierType());
        typeRegistry.addType(new RegressorType());
        typeRegistry.addType(new ModelType());
        metadata.addFunctions(new MLFunctionFactory(typeRegistry).listFunctions());
        InternalAggregationFunction aggregation = metadata.getExactFunction(new Signature("evaluate_classifier_predictions", StandardTypes.VARCHAR, StandardTypes.BIGINT, StandardTypes.BIGINT)).getAggregationFunction();
        Accumulator accumulator = aggregation.bind(ImmutableList.of(0, 1), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0).createAccumulator();
        accumulator.addInput(getPage());
        Block block = accumulator.evaluateFinal();

        String output = VARCHAR.getSlice(block, 0).toStringUtf8();
        List<String> parts = ImmutableList.copyOf(Splitter.on('\n').split(output));
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        typeRegistry.addType(new ClassifierType());
        typeRegistry.addType(new RegressorType());
        typeRegistry.addType(new ModelType());
        metadata.addFunctions(new MLFunctionFactory(typeRegistry).listFunctions());
        InternalAggregationFunction aggregation = metadata.getExactFunction(new Signature("evaluate_classifier_predictions", StandardTypes.VARCHAR, StandardTypes.BIGINT, StandardTypes.BIGINT)).getAggregationFunction();
        Accumulator accumulator = aggregation.bind(ImmutableList.of(0, 1), Optional.<Integer>absent(), Optional.<Integer>absent(), 1.0).createAccumulator();
        accumulator.addInput(getPage());
        Block block = accumulator.evaluateFinal();

        String output = VARCHAR.getSlice(block, 0).toStringUtf8();
        List<String> parts = ImmutableList.copyOf(Splitter.on('\n').split(output));
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