use of org.apache.flink.api.common.functions.FlatJoinFunction in project flink by apache.
the class ReusingHashJoinIteratorITCase method testBuildFirstAndFullOuterJoin.
@Test
public void testBuildFirstAndFullOuterJoin() {
try {
TestData.TupleGenerator generator1 = new TestData.TupleGenerator(SEED1, 500, 4096, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
TestData.TupleGenerator generator2 = new TestData.TupleGenerator(SEED2, 1000, 2048, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
final TestData.TupleGeneratorIterator input1 = new TestData.TupleGeneratorIterator(generator1, INPUT_1_SIZE);
final TestData.TupleGeneratorIterator input2 = new TestData.TupleGeneratorIterator(generator2, INPUT_2_SIZE);
// collect expected data
final Map<Integer, Collection<TupleMatch>> expectedMatchesMap = fullOuterJoinTuples(collectTupleData(input1), collectTupleData(input2));
final FlatJoinFunction matcher = new TupleMatchRemovingJoin(expectedMatchesMap);
final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<>();
// reset the generators
generator1.reset();
generator2.reset();
input1.reset();
input2.reset();
// compare with iterator values
ReusingBuildFirstHashJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingBuildFirstHashJoinIterator<>(input1, input2, this.recordSerializer, this.record1Comparator, this.recordSerializer, this.record2Comparator, this.recordPairComparator, this.memoryManager, ioManager, this.parentTask, 1.0, true, true, false);
iterator.open();
while (iterator.callWithNextKey(matcher, collector)) ;
iterator.close();
// assert that each expected match was seen
for (Entry<Integer, Collection<TupleMatch>> 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());
}
}
use of org.apache.flink.api.common.functions.FlatJoinFunction in project flink by apache.
the class ReusingHashJoinIteratorITCase method testBuildFirstWithHighNumberOfCommonKeys.
@Test
public void testBuildFirstWithHighNumberOfCommonKeys() {
// the size of the left and right inputs
final int INPUT_1_SIZE = 200;
final int INPUT_2_SIZE = 100;
final int INPUT_1_DUPLICATES = 10;
final int INPUT_2_DUPLICATES = 2000;
final int DUPLICATE_KEY = 13;
try {
TestData.TupleGenerator generator1 = new TestData.TupleGenerator(SEED1, 500, 4096, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
TestData.TupleGenerator generator2 = new TestData.TupleGenerator(SEED2, 500, 2048, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
final TestData.TupleGeneratorIterator gen1Iter = new TestData.TupleGeneratorIterator(generator1, INPUT_1_SIZE);
final TestData.TupleGeneratorIterator gen2Iter = new TestData.TupleGeneratorIterator(generator2, INPUT_2_SIZE);
final TestData.TupleConstantValueIterator const1Iter = new TestData.TupleConstantValueIterator(DUPLICATE_KEY, "LEFT String for Duplicate Keys", INPUT_1_DUPLICATES);
final TestData.TupleConstantValueIterator const2Iter = new TestData.TupleConstantValueIterator(DUPLICATE_KEY, "RIGHT String for Duplicate Keys", INPUT_2_DUPLICATES);
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 UnionIterator<>(inList1);
MutableObjectIterator<Tuple2<Integer, String>> input2 = new UnionIterator<>(inList2);
// collect expected data
final Map<Integer, Collection<TupleMatch>> expectedMatchesMap = joinTuples(collectTupleData(input1), collectTupleData(input2));
// 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 UnionIterator<>(inList1);
input2 = new UnionIterator<>(inList2);
final FlatJoinFunction matcher = new TupleMatchRemovingJoin(expectedMatchesMap);
final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<>();
ReusingBuildFirstHashJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingBuildFirstHashJoinIterator<>(input1, input2, this.recordSerializer, this.record1Comparator, this.recordSerializer, this.record2Comparator, this.recordPairComparator, this.memoryManager, ioManager, this.parentTask, 1.0, false, false, true);
iterator.open();
while (iterator.callWithNextKey(matcher, collector)) ;
iterator.close();
// assert that each expected match was seen
for (Entry<Integer, Collection<TupleMatch>> 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());
}
}
use of org.apache.flink.api.common.functions.FlatJoinFunction in project flink by apache.
the class HashVsSortMiniBenchmark method testBuildSecond.
@Test
public void testBuildSecond() {
try {
TestData.TupleGenerator generator1 = new TestData.TupleGenerator(SEED1, INPUT_1_SIZE / 10, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
TestData.TupleGenerator generator2 = new TestData.TupleGenerator(SEED2, INPUT_2_SIZE, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
final TestData.TupleGeneratorIterator input1 = new TestData.TupleGeneratorIterator(generator1, INPUT_1_SIZE);
final TestData.TupleGeneratorIterator input2 = new TestData.TupleGeneratorIterator(generator2, INPUT_2_SIZE);
final FlatJoinFunction matcher = new NoOpMatcher();
final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<>();
long start = System.nanoTime();
// compare with iterator values
ReusingBuildSecondHashJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingBuildSecondHashJoinIterator<>(input1, input2, this.serializer1.getSerializer(), this.comparator1, this.serializer2.getSerializer(), this.comparator2, this.pairComparator11, this.memoryManager, this.ioManager, this.parentTask, 1, false, false, true);
iterator.open();
while (iterator.callWithNextKey(matcher, collector)) ;
iterator.close();
long elapsed = System.nanoTime() - start;
double msecs = elapsed / (1000 * 1000);
System.out.println("Hash Build Second took " + msecs + " msecs.");
} catch (Exception e) {
e.printStackTrace();
Assert.fail("An exception occurred during the test: " + e.getMessage());
}
}
use of org.apache.flink.api.common.functions.FlatJoinFunction in project flink by apache.
the class HashVsSortMiniBenchmark method testSortBothMerge.
@Test
public void testSortBothMerge() {
try {
TestData.TupleGenerator generator1 = new TestData.TupleGenerator(SEED1, INPUT_1_SIZE / 10, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
TestData.TupleGenerator generator2 = new TestData.TupleGenerator(SEED2, INPUT_2_SIZE, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
final TestData.TupleGeneratorIterator input1 = new TestData.TupleGeneratorIterator(generator1, INPUT_1_SIZE);
final TestData.TupleGeneratorIterator input2 = new TestData.TupleGeneratorIterator(generator2, INPUT_2_SIZE);
final FlatJoinFunction matcher = new NoOpMatcher();
final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<>();
long start = System.nanoTime();
final UnilateralSortMerger<Tuple2<Integer, String>> sorter1 = new UnilateralSortMerger<>(this.memoryManager, this.ioManager, input1, this.parentTask, this.serializer1, this.comparator1.duplicate(), (double) MEMORY_FOR_SORTER / MEMORY_SIZE, 128, 0.8f, true, /*use large record handler*/
true);
final UnilateralSortMerger<Tuple2<Integer, String>> sorter2 = new UnilateralSortMerger<>(this.memoryManager, this.ioManager, input2, this.parentTask, this.serializer2, this.comparator2.duplicate(), (double) MEMORY_FOR_SORTER / MEMORY_SIZE, 128, 0.8f, true, /*use large record handler*/
true);
final MutableObjectIterator<Tuple2<Integer, String>> sortedInput1 = sorter1.getIterator();
final MutableObjectIterator<Tuple2<Integer, String>> sortedInput2 = sorter2.getIterator();
// compare with iterator values
ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingMergeInnerJoinIterator<>(sortedInput1, sortedInput2, this.serializer1.getSerializer(), this.comparator1, this.serializer2.getSerializer(), this.comparator2, this.pairComparator11, this.memoryManager, this.ioManager, MEMORY_PAGES_FOR_MERGE, this.parentTask);
iterator.open();
while (iterator.callWithNextKey(matcher, collector)) ;
iterator.close();
sorter1.close();
sorter2.close();
long elapsed = System.nanoTime() - start;
double msecs = elapsed / (1000 * 1000);
System.out.println("Sort-Merge Took " + msecs + " msecs.");
} catch (Exception e) {
e.printStackTrace();
Assert.fail("An exception occurred during the test: " + e.getMessage());
}
}
use of org.apache.flink.api.common.functions.FlatJoinFunction in project flink by apache.
the class HashVsSortMiniBenchmark method testBuildFirst.
@Test
public void testBuildFirst() {
try {
TestData.TupleGenerator generator1 = new TestData.TupleGenerator(SEED1, INPUT_1_SIZE / 10, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
TestData.TupleGenerator generator2 = new TestData.TupleGenerator(SEED2, INPUT_2_SIZE, 100, KeyMode.RANDOM, ValueMode.RANDOM_LENGTH);
final TestData.TupleGeneratorIterator input1 = new TestData.TupleGeneratorIterator(generator1, INPUT_1_SIZE);
final TestData.TupleGeneratorIterator input2 = new TestData.TupleGeneratorIterator(generator2, INPUT_2_SIZE);
final FlatJoinFunction matcher = new NoOpMatcher();
final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<>();
long start = System.nanoTime();
// compare with iterator values
final ReusingBuildFirstHashJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingBuildFirstHashJoinIterator<>(input1, input2, this.serializer1.getSerializer(), this.comparator1, this.serializer2.getSerializer(), this.comparator2, this.pairComparator11, this.memoryManager, this.ioManager, this.parentTask, 1, false, false, true);
iterator.open();
while (iterator.callWithNextKey(matcher, collector)) ;
iterator.close();
long elapsed = System.nanoTime() - start;
double msecs = elapsed / (1000 * 1000);
System.out.println("Hash Build First Took " + msecs + " msecs.");
} catch (Exception e) {
e.printStackTrace();
Assert.fail("An exception occurred during the test: " + e.getMessage());
}
}
Aggregations