Package com.facebook.presto.sql.tree

Examples of com.facebook.presto.sql.tree.Input

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                .build();

        OperatorFactory operatorFactory = new AggregationOperatorFactory(
                0,
                Step.SINGLE,
                ImmutableList.of(aggregation(COUNT, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_SUM, ImmutableList.of(new Input(1)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_AVERAGE, ImmutableList.of(new Input(1)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(VAR_BINARY_MAX, ImmutableList.of(new Input(2)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(COUNT_STRING_COLUMN, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_SUM, ImmutableList.of(new Input(3)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(DOUBLE_SUM, ImmutableList.of(new Input(4)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(VAR_BINARY_MAX, ImmutableList.of(new Input(5)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0)));
        Operator operator = operatorFactory.createOperator(driverContext);

        MaterializedResult expected = resultBuilder(driverContext.getSession(), BIGINT, BIGINT, DOUBLE, VARCHAR, BIGINT, BIGINT, DOUBLE, VARCHAR)
                .row(100, 4950, 49.5, "399", 100, 54950, 54950.0, "599")
                .build();
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                2,
                ImmutableList.of(tpchQuery1Operator.getTypes().get(0), tpchQuery1Operator.getTypes().get(1)),
                Ints.asList(0, 1),
                Step.SINGLE,
                ImmutableList.of(
                        aggregation(LONG_SUM, ImmutableList.of(new Input(2)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(DOUBLE_SUM, ImmutableList.of(new Input(3)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(DOUBLE_SUM, ImmutableList.of(new Input(4)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_AVERAGE, ImmutableList.of(new Input(2)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(DOUBLE_AVERAGE, ImmutableList.of(new Input(5)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(DOUBLE_AVERAGE, ImmutableList.of(new Input(6)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(COUNT, ImmutableList.of(new Input(2)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0)
                        ),
                10_000);

        return ImmutableList.of(tableScanOperator, tpchQuery1Operator, aggregationOperator);
    }
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        }

        @Override
        public Object visitInputReference(InputReference node, Object context)
        {
            Input input = node.getInput();

            int channel = input.getChannel();
            if (context instanceof TupleReadable[]) {
                TupleReadable[] inputs = (TupleReadable[]) context;
                TupleReadable tuple = inputs[channel];

                if (tuple.isNull()) {
                    return null;
                }

                switch (tuple.getTupleInfo().getType()) {
                    case BOOLEAN:
                        return tuple.getBoolean();
                    case FIXED_INT_64:
                        return tuple.getLong();
                    case DOUBLE:
                        return tuple.getDouble();
                    case VARIABLE_BINARY:
                        return tuple.getSlice();
                    default:
                        throw new UnsupportedOperationException("not yet implemented");
                }
            }
            else if (context instanceof RecordCursor) {
                RecordCursor cursor = (RecordCursor) context;
                if (cursor.isNull(channel)) {
                    return null;
                }

                switch (cursor.getType(input.getChannel())) {
                    case BOOLEAN:
                        return cursor.getBoolean(channel);
                    case LONG:
                        return cursor.getLong(channel);
                    case DOUBLE:
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    }

    @Test
    public void testSymbolReference()
    {
        assertProjection("symbol", true, ImmutableMap.of(new Symbol("symbol"), new Input(0)), createCursor(BOOLEAN, true));
        assertProjection("symbol", null, ImmutableMap.of(new Symbol("symbol"), new Input(0)), createCursor(BOOLEAN, null));

        assertProjection("symbol", 42L, ImmutableMap.of(new Symbol("symbol"), new Input(0)), createCursor(BIGINT, 42));
        assertProjection("symbol", null, ImmutableMap.of(new Symbol("symbol"), new Input(0)), createCursor(BIGINT, null));

        assertProjection("symbol", 11.1, ImmutableMap.of(new Symbol("symbol"), new Input(0)), createCursor(DOUBLE, 11.1));
        assertProjection("symbol", null, ImmutableMap.of(new Symbol("symbol"), new Input(0)), createCursor(DOUBLE, null));

        assertProjection("symbol", "foo", ImmutableMap.of(new Symbol("symbol"), new Input(0)), createCursor(VARCHAR, "foo"));
        assertProjection("symbol", null, ImmutableMap.of(new Symbol("symbol"), new Input(0)), createCursor(VARCHAR, null));
    }
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                .build();

        OperatorFactory operatorFactory = new AggregationOperatorFactory(
                0,
                Step.SINGLE,
                ImmutableList.of(aggregation(COUNT, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_SUM, ImmutableList.of(new Input(1)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_AVERAGE, ImmutableList.of(new Input(1)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(VAR_BINARY_MAX, ImmutableList.of(new Input(2)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(COUNT_STRING_COLUMN, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_SUM, ImmutableList.of(new Input(3)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(DOUBLE_SUM, ImmutableList.of(new Input(4)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(VAR_BINARY_MAX, ImmutableList.of(new Input(5)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0)));
        Operator operator = operatorFactory.createOperator(driverContext);

        MaterializedResult expected = resultBuilder(driverContext.getSession(), BIGINT, BIGINT, DOUBLE, VARCHAR, BIGINT, BIGINT, DOUBLE, VARCHAR)
                .row(100, 4950, 49.5, "399", 100, 54950, 54950.0, "599")
                .build();
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        HashAggregationOperatorFactory operatorFactory = new HashAggregationOperatorFactory(
                0,
                ImmutableList.of(VARCHAR),
                Ints.asList(1),
                Step.SINGLE,
                ImmutableList.of(aggregation(COUNT, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_SUM, ImmutableList.of(new Input(3)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_AVERAGE, ImmutableList.of(new Input(3)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(VAR_BINARY_MAX, ImmutableList.of(new Input(2)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(COUNT_STRING_COLUMN, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(COUNT_BOOLEAN_COLUMN, ImmutableList.of(new Input(4)), Optional.<Input>absent(), Optional.<Input>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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        HashAggregationOperatorFactory operatorFactory = new HashAggregationOperatorFactory(
                0,
                ImmutableList.of(VARCHAR),
                Ints.asList(1),
                Step.SINGLE,
                ImmutableList.of(aggregation(COUNT, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_SUM, ImmutableList.of(new Input(3)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_AVERAGE, ImmutableList.of(new Input(3)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(VAR_BINARY_MAX, ImmutableList.of(new Input(2)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0)),
                100_000);

        Operator operator = operatorFactory.createOperator(driverContext);

        toPages(operator, input);
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        HashAggregationOperatorFactory operatorFactory = new HashAggregationOperatorFactory(
                0,
                ImmutableList.of(VARCHAR),
                Ints.asList(0),
                Step.SINGLE,
                ImmutableList.of(aggregation(COUNT, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0)),
                100_000);

        Operator operator = operatorFactory.createOperator(driverContext);

        toPages(operator, input);
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        HashAggregationOperatorFactory operatorFactory = new HashAggregationOperatorFactory(
                0,
                ImmutableList.of(VARCHAR),
                Ints.asList(0),
                Step.SINGLE,
                ImmutableList.of(aggregation(COUNT, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0)),
                100_000);

        Operator operator = operatorFactory.createOperator(driverContext);

        toPages(operator, input);
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        HashAggregationOperatorFactory operatorFactory = new HashAggregationOperatorFactory(
                0,
                ImmutableList.of(BIGINT),
                Ints.asList(1),
                Step.SINGLE,
                ImmutableList.of(aggregation(COUNT, ImmutableList.of(new Input(0)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0),
                        aggregation(LONG_AVERAGE, ImmutableList.of(new Input(1)), Optional.<Input>absent(), Optional.<Input>absent(), 1.0)),
                100_000);

        Operator operator = operatorFactory.createOperator(driverContext);

        assertEquals(toPages(operator, input).size(), 2);
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Related Classes of com.facebook.presto.sql.tree.Input

  • com.facebook.presto.benchmark.CountAggregationBenchmark
  • com.facebook.presto.benchmark.DoubleSumAggregationBenchmark
  • com.facebook.presto.benchmark.HandTpchQuery1
  • com.facebook.presto.benchmark.HandTpchQuery6
  • com.facebook.presto.benchmark.HashAggregationBenchmark
  • com.facebook.presto.operator.aggregation.AbstractTestAggregationFunction
  • com.facebook.presto.operator.aggregation.AbstractTestApproximateCountDistinct
  • com.facebook.presto.operator.aggregation.TestApproximatePercentileAggregation
  • com.facebook.presto.operator.AggregationOperator
  • com.facebook.presto.operator.HashAggregationOperator
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