Examples with TupleGeneratorIterator org.apache.flink.runtime.operators.testutils.TestData.TupleGeneratorIterator used on opensource projects

Example 1 with TupleGeneratorIterator

use of org.apache.flink.runtime.operators.testutils.TestData.TupleGeneratorIterator in project flink by apache.

the class RandomSortMergeOuterJoinTest method testOuterJoinWithHighNumberOfCommonKeys.

@SuppressWarnings("unchecked, rawtypes")
protected void testOuterJoinWithHighNumberOfCommonKeys(FlinkJoinType outerJoinType, int input1Size, int input1Duplicates, int input1ValueLength, float input1KeyDensity, int input2Size, int input2Duplicates, int input2ValueLength, float input2KeyDensity) {
    TypeComparator<Tuple2<Integer, String>> comparator1 = new TupleComparator<>(new int[] { 0 }, new TypeComparator<?>[] { new IntComparator(true) }, new TypeSerializer<?>[] { IntSerializer.INSTANCE });
    TypeComparator<Tuple2<Integer, String>> comparator2 = new TupleComparator<>(new int[] { 0 }, new TypeComparator<?>[] { new IntComparator(true) }, new TypeSerializer<?>[] { IntSerializer.INSTANCE });
    final int duplicateKey = 13;
    try {
        final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, input1KeyDensity, input1ValueLength, KeyMode.SORTED_SPARSE, ValueMode.RANDOM_LENGTH, null);
        final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, input2KeyDensity, input2ValueLength, KeyMode.SORTED_SPARSE, ValueMode.RANDOM_LENGTH, null);
        final TupleGeneratorIterator gen1Iter = new TupleGeneratorIterator(generator1, input1Size);
        final TupleGeneratorIterator gen2Iter = new TupleGeneratorIterator(generator2, input2Size);
        final TupleConstantValueIterator const1Iter = new TupleConstantValueIterator(duplicateKey, "LEFT String for Duplicate Keys", input1Duplicates);
        final TupleConstantValueIterator const2Iter = new TupleConstantValueIterator(duplicateKey, "RIGHT String for Duplicate Keys", input2Duplicates);
        final List<MutableObjectIterator<Tuple2<Integer, String>>> inList1 = new ArrayList<>();
        inList1.add(gen1Iter);
        inList1.add(const1Iter);
        final List<MutableObjectIterator<Tuple2<Integer, String>>> inList2 = new ArrayList<>();
        inList2.add(gen2Iter);
        inList2.add(const2Iter);
        MutableObjectIterator<Tuple2<Integer, String>> input1 = new MergeIterator<>(inList1, comparator1.duplicate());
        MutableObjectIterator<Tuple2<Integer, String>> input2 = new MergeIterator<>(inList2, comparator2.duplicate());
        // collect expected data
        final Map<Integer, Collection<Match>> expectedMatchesMap = joinValues(RandomSortMergeInnerJoinTest.collectData(input1), RandomSortMergeInnerJoinTest.collectData(input2), outerJoinType);
        // re-create the whole thing for actual processing
        // reset the generators and iterators
        generator1.reset();
        generator2.reset();
        const1Iter.reset();
        const2Iter.reset();
        gen1Iter.reset();
        gen2Iter.reset();
        inList1.clear();
        inList1.add(gen1Iter);
        inList1.add(const1Iter);
        inList2.clear();
        inList2.add(gen2Iter);
        inList2.add(const2Iter);
        input1 = new MergeIterator<>(inList1, comparator1.duplicate());
        input2 = new MergeIterator<>(inList2, comparator2.duplicate());
        StreamOperator operator = getOperator(outerJoinType);
        RandomSortMergeInnerJoinTest.match(expectedMatchesMap, RandomSortMergeInnerJoinTest.transformToBinary(myJoin(operator, input1, input2)));
        // assert that each expected match was seen
        for (Entry<Integer, Collection<Match>> entry : expectedMatchesMap.entrySet()) {
            if (!entry.getValue().isEmpty()) {
                Assert.fail("Collection for key " + entry.getKey() + " is not empty");
            }
        }
    } catch (Exception e) {
        e.printStackTrace();
        Assert.fail("An exception occurred during the test: " + e.getMessage());
    }
}

Example 2 with TupleGeneratorIterator

use of org.apache.flink.runtime.operators.testutils.TestData.TupleGeneratorIterator in project flink by apache.

the class ReOpenableHashTableTestBase method testDoubleProbeSpilling.

/**
 * Verify proper operation if the build side is spilled to disk.
 */
@Test
public void testDoubleProbeSpilling() {
    int buildSize = 1000;
    int probeSize = 1000;
    try {
        TupleGenerator bgen = new TupleGenerator(SEED1, 0, 1024, KeyMode.SORTED, ValueMode.FIX_LENGTH);
        TupleGenerator pgen = new TupleGenerator(SEED2, 0, 1024, KeyMode.SORTED, ValueMode.FIX_LENGTH);
        final TupleGeneratorIterator buildInput = new TupleGeneratorIterator(bgen, buildSize);
        final TupleGeneratorIterator probeInput = new TupleGeneratorIterator(pgen, probeSize);
        doTest(buildInput, probeInput, bgen, pgen);
    } catch (Exception e) {
        e.printStackTrace();
        Assert.fail("An exception occurred during the test: " + e.getMessage());
    }
}

Example 3 with TupleGeneratorIterator

use of org.apache.flink.runtime.operators.testutils.TestData.TupleGeneratorIterator in project flink by apache.

the class AbstractSortMergeOuterJoinIteratorITCase method testOuterJoinWithHighNumberOfCommonKeys.

@SuppressWarnings("unchecked, rawtypes")
protected void testOuterJoinWithHighNumberOfCommonKeys(OuterJoinType outerJoinType, int input1Size, int input1Duplicates, int input1ValueLength, float input1KeyDensity, int input2Size, int input2Duplicates, int input2ValueLength, float input2KeyDensity) {
    TypeSerializer<Tuple2<Integer, String>> serializer1 = new TupleSerializer<>((Class<Tuple2<Integer, String>>) (Class<?>) Tuple2.class, new TypeSerializer<?>[] { IntSerializer.INSTANCE, StringSerializer.INSTANCE });
    TypeSerializer<Tuple2<Integer, String>> serializer2 = new TupleSerializer<>((Class<Tuple2<Integer, String>>) (Class<?>) Tuple2.class, new TypeSerializer<?>[] { IntSerializer.INSTANCE, StringSerializer.INSTANCE });
    TypeComparator<Tuple2<Integer, String>> comparator1 = new TupleComparator<>(new int[] { 0 }, new TypeComparator<?>[] { new IntComparator(true) }, new TypeSerializer<?>[] { IntSerializer.INSTANCE });
    TypeComparator<Tuple2<Integer, String>> comparator2 = new TupleComparator<>(new int[] { 0 }, new TypeComparator<?>[] { new IntComparator(true) }, new TypeSerializer<?>[] { IntSerializer.INSTANCE });
    TypePairComparator<Tuple2<Integer, String>, Tuple2<Integer, String>> pairComparator = new GenericPairComparator<>(comparator1, comparator2);
    final int DUPLICATE_KEY = 13;
    try {
        final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, input1KeyDensity, input1ValueLength, KeyMode.SORTED_SPARSE, ValueMode.RANDOM_LENGTH, null);
        final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, input2KeyDensity, input2ValueLength, KeyMode.SORTED_SPARSE, ValueMode.RANDOM_LENGTH, null);
        final TupleGeneratorIterator gen1Iter = new TupleGeneratorIterator(generator1, input1Size);
        final TupleGeneratorIterator gen2Iter = new TupleGeneratorIterator(generator2, input2Size);
        final TupleConstantValueIterator const1Iter = new TupleConstantValueIterator(DUPLICATE_KEY, "LEFT String for Duplicate Keys", input1Duplicates);
        final TupleConstantValueIterator const2Iter = new TupleConstantValueIterator(DUPLICATE_KEY, "RIGHT String for Duplicate Keys", input2Duplicates);
        final List<MutableObjectIterator<Tuple2<Integer, String>>> inList1 = new ArrayList<>();
        inList1.add(gen1Iter);
        inList1.add(const1Iter);
        final List<MutableObjectIterator<Tuple2<Integer, String>>> inList2 = new ArrayList<>();
        inList2.add(gen2Iter);
        inList2.add(const2Iter);
        MutableObjectIterator<Tuple2<Integer, String>> input1 = new MergeIterator<>(inList1, comparator1.duplicate());
        MutableObjectIterator<Tuple2<Integer, String>> input2 = new MergeIterator<>(inList2, comparator2.duplicate());
        // collect expected data
        final Map<Integer, Collection<Match>> expectedMatchesMap = joinValues(collectData(input1), collectData(input2), outerJoinType);
        // re-create the whole thing for actual processing
        // reset the generators and iterators
        generator1.reset();
        generator2.reset();
        const1Iter.reset();
        const2Iter.reset();
        gen1Iter.reset();
        gen2Iter.reset();
        inList1.clear();
        inList1.add(gen1Iter);
        inList1.add(const1Iter);
        inList2.clear();
        inList2.add(gen2Iter);
        inList2.add(const2Iter);
        input1 = new MergeIterator<>(inList1, comparator1.duplicate());
        input2 = new MergeIterator<>(inList2, comparator2.duplicate());
        final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> joinFunction = new MatchRemovingJoiner(expectedMatchesMap);
        final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<>();
        // we create this sort-merge iterator with little memory for the block-nested-loops
        // fall-back to make sure it
        // needs to spill for the duplicate keys
        AbstractMergeOuterJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = createOuterJoinIterator(outerJoinType, input1, input2, serializer1, comparator1, serializer2, comparator2, pairComparator, this.memoryManager, this.ioManager, PAGES_FOR_BNLJN, this.parentTask);
        iterator.open();
        while (iterator.callWithNextKey(joinFunction, collector)) ;
        iterator.close();
        // assert that each expected match was seen
        for (Entry<Integer, Collection<Match>> entry : expectedMatchesMap.entrySet()) {
            if (!entry.getValue().isEmpty()) {
                Assert.fail("Collection for key " + entry.getKey() + " is not empty");
            }
        }
    } catch (Exception e) {
        e.printStackTrace();
        Assert.fail("An exception occurred during the test: " + e.getMessage());
    }
}

Example 4 with TupleGeneratorIterator

use of org.apache.flink.runtime.operators.testutils.TestData.TupleGeneratorIterator in project flink by apache.

the class ReOpenableHashTableTestBase method testOverflow.

/**
 * Test behavior with overflow buckets (Overflow buckets must be initialized correctly if the
 * input is reopened again)
 */
@Test
public void testOverflow() {
    int buildSize = 1000;
    int probeSize = 1000;
    try {
        TupleGenerator bgen = new TupleGenerator(SEED1, 200, 1024, KeyMode.RANDOM, ValueMode.FIX_LENGTH);
        TupleGenerator pgen = new TupleGenerator(SEED2, 0, 1024, KeyMode.SORTED, ValueMode.FIX_LENGTH);
        final TupleGeneratorIterator buildInput = new TupleGeneratorIterator(bgen, buildSize);
        final TupleGeneratorIterator probeInput = new TupleGeneratorIterator(pgen, probeSize);
        doTest(buildInput, probeInput, bgen, pgen);
    } catch (Exception e) {
        e.printStackTrace();
        Assert.fail("An exception occurred during the test: " + e.getMessage());
    }
}

Example 5 with TupleGeneratorIterator

use of org.apache.flink.runtime.operators.testutils.TestData.TupleGeneratorIterator in project flink by apache.

the class ReOpenableHashTableTestBase method testDoubleProbeInMemory.

/**
 * This test case verifies that hybrid hash join is able to handle multiple probe phases when
 * the build side fits completely into memory.
 */
@Test
public void testDoubleProbeInMemory() {
    int buildSize = 1000;
    int probeSize = 1000;
    try {
        TupleGenerator bgen = new TupleGenerator(SEED1, 0, 28, KeyMode.SORTED, ValueMode.FIX_LENGTH);
        TupleGenerator pgen = new TupleGenerator(SEED2, 0, 28, KeyMode.SORTED, ValueMode.FIX_LENGTH);
        final TupleGeneratorIterator buildInput = new TupleGeneratorIterator(bgen, buildSize);
        final TupleGeneratorIterator probeInput = new TupleGeneratorIterator(pgen, probeSize);
        doTest(buildInput, probeInput, bgen, pgen);
    } catch (Exception e) {
        e.printStackTrace();
        Assert.fail("An exception occurred during the test: " + e.getMessage());
    }
}