org.apache.flink.runtime.operators.testutils.MatchRemovingJoiner Java Examples
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org.apache.flink.runtime.operators.testutils.MatchRemovingJoiner.
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Example #1
Source File: NonReusingSortMergeInnerJoinIteratorITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
@Test public void testMerge() { try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(input2)); final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> joinFunction = new MatchRemovingJoiner(expectedMatchesMap); final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<Tuple2<Integer, String>>(); // reset the generators generator1.reset(); generator2.reset(); input1.reset(); input2.reset(); // compare with iterator values NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.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()) { Assert.assertTrue("Collection for key " + entry.getKey() + " is not empty", entry.getValue().isEmpty()); } } catch (Exception e) { e.printStackTrace(); Assert.fail("An exception occurred during the test: " + e.getMessage()); } }
Example #2
Source File: NonReusingSortMergeInnerJoinIteratorITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
@Test public void testMergeWithHighNumberOfCommonKeys() { // 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 = 4000; final int DUPLICATE_KEY = 13; try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<MutableObjectIterator<Tuple2<Integer, String>>>(); inList1.add(gen1Iter); inList1.add(const1Iter); final List<MutableObjectIterator<Tuple2<Integer, String>>> inList2 = new ArrayList<MutableObjectIterator<Tuple2<Integer, String>>>(); inList2.add(gen2Iter); inList2.add(const2Iter); MutableObjectIterator<Tuple2<Integer, String>> input1 = new MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); MutableObjectIterator<Tuple2<Integer, String>> input2 = new MergeIterator<Tuple2<Integer, String>>(inList2, comparator2.duplicate()); // collect expected data final Map<Integer, Collection<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(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 MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); input2 = new MergeIterator<Tuple2<Integer, String>>(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<Tuple2<Integer, String>>(); // 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 NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.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 #3
Source File: ReusingSortMergeInnerJoinIteratorITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
@Test public void testMerge() { try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(input2)); final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> joinFunction = new MatchRemovingJoiner(expectedMatchesMap); final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<Tuple2<Integer, String>>(); // reset the generators generator1.reset(); generator2.reset(); input1.reset(); input2.reset(); // compare with iterator values ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.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()) { Assert.assertTrue("Collection for key " + entry.getKey() + " is not empty", entry.getValue().isEmpty()); } } catch (Exception e) { e.printStackTrace(); Assert.fail("An exception occurred during the test: " + e.getMessage()); } }
Example #4
Source File: ReusingSortMergeInnerJoinIteratorITCase.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
@Test public void testMergeWithHighNumberOfCommonKeys() { // 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 = 4000; final int DUPLICATE_KEY = 13; try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<MutableObjectIterator<Tuple2<Integer, String>>>(); inList1.add(gen1Iter); inList1.add(const1Iter); final List<MutableObjectIterator<Tuple2<Integer, String>>> inList2 = new ArrayList<MutableObjectIterator<Tuple2<Integer, String>>>(); inList2.add(gen2Iter); inList2.add(const2Iter); MutableObjectIterator<Tuple2<Integer, String>> input1 = new MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); MutableObjectIterator<Tuple2<Integer, String>> input2 = new MergeIterator<Tuple2<Integer, String>>(inList2, comparator2.duplicate()); // collect expected data final Map<Integer, Collection<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(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 MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); input2 = new MergeIterator<Tuple2<Integer, String>>(inList2, comparator2.duplicate()); final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> matcher = new MatchRemovingJoiner(expectedMatchesMap); final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<Tuple2<Integer, String>>(); // 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 ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.pairComparator, this.memoryManager, this.ioManager, PAGES_FOR_BNLJN, this.parentTask); iterator.open(); while (iterator.callWithNextKey(matcher, 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 #5
Source File: NonReusingSortMergeInnerJoinIteratorITCase.java From flink with Apache License 2.0 | 4 votes |
@Test public void testMerge() { try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(input2)); final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> joinFunction = new MatchRemovingJoiner(expectedMatchesMap); final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<Tuple2<Integer, String>>(); // reset the generators generator1.reset(); generator2.reset(); input1.reset(); input2.reset(); // compare with iterator values NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.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()) { Assert.assertTrue("Collection for key " + entry.getKey() + " is not empty", entry.getValue().isEmpty()); } } catch (Exception e) { e.printStackTrace(); Assert.fail("An exception occurred during the test: " + e.getMessage()); } }
Example #6
Source File: NonReusingSortMergeInnerJoinIteratorITCase.java From flink with Apache License 2.0 | 4 votes |
@Test public void testMergeWithHighNumberOfCommonKeys() { // 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 = 4000; final int DUPLICATE_KEY = 13; try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<MutableObjectIterator<Tuple2<Integer, String>>>(); inList1.add(gen1Iter); inList1.add(const1Iter); final List<MutableObjectIterator<Tuple2<Integer, String>>> inList2 = new ArrayList<MutableObjectIterator<Tuple2<Integer, String>>>(); inList2.add(gen2Iter); inList2.add(const2Iter); MutableObjectIterator<Tuple2<Integer, String>> input1 = new MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); MutableObjectIterator<Tuple2<Integer, String>> input2 = new MergeIterator<Tuple2<Integer, String>>(inList2, comparator2.duplicate()); // collect expected data final Map<Integer, Collection<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(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 MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); input2 = new MergeIterator<Tuple2<Integer, String>>(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<Tuple2<Integer, String>>(); // 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 NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.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 #7
Source File: ReusingSortMergeInnerJoinIteratorITCase.java From flink with Apache License 2.0 | 4 votes |
@Test public void testMerge() { try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(input2)); final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> joinFunction = new MatchRemovingJoiner(expectedMatchesMap); final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<Tuple2<Integer, String>>(); // reset the generators generator1.reset(); generator2.reset(); input1.reset(); input2.reset(); // compare with iterator values ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.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()) { Assert.assertTrue("Collection for key " + entry.getKey() + " is not empty", entry.getValue().isEmpty()); } } catch (Exception e) { e.printStackTrace(); Assert.fail("An exception occurred during the test: " + e.getMessage()); } }
Example #8
Source File: ReusingSortMergeInnerJoinIteratorITCase.java From flink with Apache License 2.0 | 4 votes |
@Test public void testMergeWithHighNumberOfCommonKeys() { // 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 = 4000; final int DUPLICATE_KEY = 13; try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<MutableObjectIterator<Tuple2<Integer, String>>>(); inList1.add(gen1Iter); inList1.add(const1Iter); final List<MutableObjectIterator<Tuple2<Integer, String>>> inList2 = new ArrayList<MutableObjectIterator<Tuple2<Integer, String>>>(); inList2.add(gen2Iter); inList2.add(const2Iter); MutableObjectIterator<Tuple2<Integer, String>> input1 = new MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); MutableObjectIterator<Tuple2<Integer, String>> input2 = new MergeIterator<Tuple2<Integer, String>>(inList2, comparator2.duplicate()); // collect expected data final Map<Integer, Collection<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(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 MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); input2 = new MergeIterator<Tuple2<Integer, String>>(inList2, comparator2.duplicate()); final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> matcher = new MatchRemovingJoiner(expectedMatchesMap); final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<Tuple2<Integer, String>>(); // 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 ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.pairComparator, this.memoryManager, this.ioManager, PAGES_FOR_BNLJN, this.parentTask); iterator.open(); while (iterator.callWithNextKey(matcher, 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 #9
Source File: NonReusingSortMergeInnerJoinIteratorITCase.java From flink with Apache License 2.0 | 4 votes |
@Test public void testMerge() { try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(input2)); final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> joinFunction = new MatchRemovingJoiner(expectedMatchesMap); final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<Tuple2<Integer, String>>(); // reset the generators generator1.reset(); generator2.reset(); input1.reset(); input2.reset(); // compare with iterator values NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.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()) { Assert.assertTrue("Collection for key " + entry.getKey() + " is not empty", entry.getValue().isEmpty()); } } catch (Exception e) { e.printStackTrace(); Assert.fail("An exception occurred during the test: " + e.getMessage()); } }
Example #10
Source File: NonReusingSortMergeInnerJoinIteratorITCase.java From flink with Apache License 2.0 | 4 votes |
@Test public void testMergeWithHighNumberOfCommonKeys() { // 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 = 4000; final int DUPLICATE_KEY = 13; try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<MutableObjectIterator<Tuple2<Integer, String>>>(); inList1.add(gen1Iter); inList1.add(const1Iter); final List<MutableObjectIterator<Tuple2<Integer, String>>> inList2 = new ArrayList<MutableObjectIterator<Tuple2<Integer, String>>>(); inList2.add(gen2Iter); inList2.add(const2Iter); MutableObjectIterator<Tuple2<Integer, String>> input1 = new MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); MutableObjectIterator<Tuple2<Integer, String>> input2 = new MergeIterator<Tuple2<Integer, String>>(inList2, comparator2.duplicate()); // collect expected data final Map<Integer, Collection<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(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 MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); input2 = new MergeIterator<Tuple2<Integer, String>>(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<Tuple2<Integer, String>>(); // 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 NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new NonReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.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 #11
Source File: ReusingSortMergeInnerJoinIteratorITCase.java From flink with Apache License 2.0 | 4 votes |
@Test public void testMerge() { try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(input2)); final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> joinFunction = new MatchRemovingJoiner(expectedMatchesMap); final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<Tuple2<Integer, String>>(); // reset the generators generator1.reset(); generator2.reset(); input1.reset(); input2.reset(); // compare with iterator values ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.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()) { Assert.assertTrue("Collection for key " + entry.getKey() + " is not empty", entry.getValue().isEmpty()); } } catch (Exception e) { e.printStackTrace(); Assert.fail("An exception occurred during the test: " + e.getMessage()); } }
Example #12
Source File: ReusingSortMergeInnerJoinIteratorITCase.java From flink with Apache License 2.0 | 4 votes |
@Test public void testMergeWithHighNumberOfCommonKeys() { // 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 = 4000; final int DUPLICATE_KEY = 13; try { final TupleGenerator generator1 = new TupleGenerator(SEED1, 500, 4096, KeyMode.SORTED, ValueMode.RANDOM_LENGTH); final TupleGenerator generator2 = new TupleGenerator(SEED2, 500, 2048, KeyMode.SORTED, 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<MutableObjectIterator<Tuple2<Integer, String>>>(); inList1.add(gen1Iter); inList1.add(const1Iter); final List<MutableObjectIterator<Tuple2<Integer, String>>> inList2 = new ArrayList<MutableObjectIterator<Tuple2<Integer, String>>>(); inList2.add(gen2Iter); inList2.add(const2Iter); MutableObjectIterator<Tuple2<Integer, String>> input1 = new MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); MutableObjectIterator<Tuple2<Integer, String>> input2 = new MergeIterator<Tuple2<Integer, String>>(inList2, comparator2.duplicate()); // collect expected data final Map<Integer, Collection<Match>> expectedMatchesMap = matchValues( collectData(input1), collectData(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 MergeIterator<Tuple2<Integer, String>>(inList1, comparator1.duplicate()); input2 = new MergeIterator<Tuple2<Integer, String>>(inList2, comparator2.duplicate()); final FlatJoinFunction<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> matcher = new MatchRemovingJoiner(expectedMatchesMap); final Collector<Tuple2<Integer, String>> collector = new DiscardingOutputCollector<Tuple2<Integer, String>>(); // 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 ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>> iterator = new ReusingMergeInnerJoinIterator<Tuple2<Integer, String>, Tuple2<Integer, String>, Tuple2<Integer, String>>( input1, input2, this.serializer1, this.comparator1, this.serializer2, this.comparator2, this.pairComparator, this.memoryManager, this.ioManager, PAGES_FOR_BNLJN, this.parentTask); iterator.open(); while (iterator.callWithNextKey(matcher, 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()); } }