Examples with SumAggregator org.apache.flink.streaming.api.functions.aggregation.SumAggregator used on opensource projects

Example 1 with SumAggregator

use of org.apache.flink.streaming.api.functions.aggregation.SumAggregator in project flink by apache.

the class AggregationFunctionTest method groupSumIntegerTest.

@Test
public void groupSumIntegerTest() throws Exception {
    // preparing expected outputs
    List<Tuple2<Integer, Integer>> expectedGroupSumList = new ArrayList<>();
    List<Tuple2<Integer, Integer>> expectedGroupMinList = new ArrayList<>();
    List<Tuple2<Integer, Integer>> expectedGroupMaxList = new ArrayList<>();
    int groupedSum0 = 0;
    int groupedSum1 = 0;
    int groupedSum2 = 0;
    for (int i = 0; i < 9; i++) {
        int groupedSum;
        switch(i % 3) {
            case 0:
                groupedSum = groupedSum0 += i;
                break;
            case 1:
                groupedSum = groupedSum1 += i;
                break;
            default:
                groupedSum = groupedSum2 += i;
                break;
        }
        expectedGroupSumList.add(new Tuple2<>(i % 3, groupedSum));
        expectedGroupMinList.add(new Tuple2<>(i % 3, i % 3));
        expectedGroupMaxList.add(new Tuple2<>(i % 3, i));
    }
    // some necessary boiler plate
    TypeInformation<Tuple2<Integer, Integer>> typeInfo = TypeExtractor.getForObject(new Tuple2<>(0, 0));
    ExecutionConfig config = new ExecutionConfig();
    KeySelector<Tuple2<Integer, Integer>, Tuple> keySelector = KeySelectorUtil.getSelectorForKeys(new Keys.ExpressionKeys<>(new int[] { 0 }, typeInfo), typeInfo, config);
    TypeInformation<Tuple> keyType = TypeExtractor.getKeySelectorTypes(keySelector, typeInfo);
    // aggregations tested
    ReduceFunction<Tuple2<Integer, Integer>> sumFunction = new SumAggregator<>(1, typeInfo, config);
    ReduceFunction<Tuple2<Integer, Integer>> minFunction = new ComparableAggregator<>(1, typeInfo, AggregationType.MIN, config);
    ReduceFunction<Tuple2<Integer, Integer>> maxFunction = new ComparableAggregator<>(1, typeInfo, AggregationType.MAX, config);
    List<Tuple2<Integer, Integer>> groupedSumList = MockContext.createAndExecuteForKeyedStream(new StreamGroupedReduce<>(sumFunction, typeInfo.createSerializer(config)), getInputList(), keySelector, keyType);
    List<Tuple2<Integer, Integer>> groupedMinList = MockContext.createAndExecuteForKeyedStream(new StreamGroupedReduce<>(minFunction, typeInfo.createSerializer(config)), getInputList(), keySelector, keyType);
    List<Tuple2<Integer, Integer>> groupedMaxList = MockContext.createAndExecuteForKeyedStream(new StreamGroupedReduce<>(maxFunction, typeInfo.createSerializer(config)), getInputList(), keySelector, keyType);
    assertEquals(expectedGroupSumList, groupedSumList);
    assertEquals(expectedGroupMinList, groupedMinList);
    assertEquals(expectedGroupMaxList, groupedMaxList);
}

Example 2 with SumAggregator

use of org.apache.flink.streaming.api.functions.aggregation.SumAggregator in project flink by apache.

the class AggregationFunctionTest method pojoGroupSumIntegerTest.

@Test
public void pojoGroupSumIntegerTest() throws Exception {
    // preparing expected outputs
    List<MyPojo> expectedGroupSumList = new ArrayList<>();
    List<MyPojo> expectedGroupMinList = new ArrayList<>();
    List<MyPojo> expectedGroupMaxList = new ArrayList<>();
    int groupedSum0 = 0;
    int groupedSum1 = 0;
    int groupedSum2 = 0;
    for (int i = 0; i < 9; i++) {
        int groupedSum;
        switch(i % 3) {
            case 0:
                groupedSum = groupedSum0 += i;
                break;
            case 1:
                groupedSum = groupedSum1 += i;
                break;
            default:
                groupedSum = groupedSum2 += i;
                break;
        }
        expectedGroupSumList.add(new MyPojo(i % 3, groupedSum));
        expectedGroupMinList.add(new MyPojo(i % 3, i % 3));
        expectedGroupMaxList.add(new MyPojo(i % 3, i));
    }
    // some necessary boiler plate
    TypeInformation<MyPojo> typeInfo = TypeExtractor.getForObject(new MyPojo(0, 0));
    ExecutionConfig config = new ExecutionConfig();
    KeySelector<MyPojo, Tuple> keySelector = KeySelectorUtil.getSelectorForKeys(new Keys.ExpressionKeys<>(new String[] { "f0" }, typeInfo), typeInfo, config);
    TypeInformation<Tuple> keyType = TypeExtractor.getKeySelectorTypes(keySelector, typeInfo);
    // aggregations tested
    ReduceFunction<MyPojo> sumFunction = new SumAggregator<>("f1", typeInfo, config);
    ReduceFunction<MyPojo> minFunction = new ComparableAggregator<>("f1", typeInfo, AggregationType.MIN, false, config);
    ReduceFunction<MyPojo> maxFunction = new ComparableAggregator<>("f1", typeInfo, AggregationType.MAX, false, config);
    List<MyPojo> groupedSumList = MockContext.createAndExecuteForKeyedStream(new StreamGroupedReduce<>(sumFunction, typeInfo.createSerializer(config)), getInputPojoList(), keySelector, keyType);
    List<MyPojo> groupedMinList = MockContext.createAndExecuteForKeyedStream(new StreamGroupedReduce<>(minFunction, typeInfo.createSerializer(config)), getInputPojoList(), keySelector, keyType);
    List<MyPojo> groupedMaxList = MockContext.createAndExecuteForKeyedStream(new StreamGroupedReduce<>(maxFunction, typeInfo.createSerializer(config)), getInputPojoList(), keySelector, keyType);
    assertEquals(expectedGroupSumList, groupedSumList);
    assertEquals(expectedGroupMinList, groupedMinList);
    assertEquals(expectedGroupMaxList, groupedMaxList);
}