use of org.apache.flink.util.MutableObjectIterator in project flink by apache.
the class HashTableITCase method testSpillingHashJoinWithTwoRecursionsIntPair.
/*
* This test is basically identical to the "testSpillingHashJoinWithMassiveCollisions" test, only that the number
* of repeated values (causing bucket collisions) are large enough to make sure that their target partition no longer
* fits into memory by itself and needs to be repartitioned in the recursion again.
*/
@Test
public void testSpillingHashJoinWithTwoRecursionsIntPair() throws IOException {
// the following two values are known to have a hash-code collision on the first recursion
// level.
// we use them to make sure one partition grows over-proportionally large
final int REPEATED_VALUE_1 = 40559;
final int REPEATED_VALUE_2 = 92882;
final int REPEATED_VALUE_COUNT_BUILD = 200000;
final int REPEATED_VALUE_COUNT_PROBE = 5;
final int NUM_KEYS = 1000000;
final int BUILD_VALS_PER_KEY = 3;
final int PROBE_VALS_PER_KEY = 10;
// create a build input that gives 3 million pairs with 3 values sharing the same key, plus
// 400k pairs with two colliding keys
MutableObjectIterator<IntPair> build1 = new UniformIntPairGenerator(NUM_KEYS, BUILD_VALS_PER_KEY, false);
MutableObjectIterator<IntPair> build2 = new ConstantsIntPairsIterator(REPEATED_VALUE_1, 17, REPEATED_VALUE_COUNT_BUILD);
MutableObjectIterator<IntPair> build3 = new ConstantsIntPairsIterator(REPEATED_VALUE_2, 23, REPEATED_VALUE_COUNT_BUILD);
List<MutableObjectIterator<IntPair>> builds = new ArrayList<MutableObjectIterator<IntPair>>();
builds.add(build1);
builds.add(build2);
builds.add(build3);
MutableObjectIterator<IntPair> buildInput = new UnionIterator<IntPair>(builds);
// create a probe input that gives 10 million pairs with 10 values sharing a key
MutableObjectIterator<IntPair> probe1 = new UniformIntPairGenerator(NUM_KEYS, PROBE_VALS_PER_KEY, true);
MutableObjectIterator<IntPair> probe2 = new ConstantsIntPairsIterator(REPEATED_VALUE_1, 17, 5);
MutableObjectIterator<IntPair> probe3 = new ConstantsIntPairsIterator(REPEATED_VALUE_2, 23, 5);
List<MutableObjectIterator<IntPair>> probes = new ArrayList<MutableObjectIterator<IntPair>>();
probes.add(probe1);
probes.add(probe2);
probes.add(probe3);
MutableObjectIterator<IntPair> probeInput = new UnionIterator<IntPair>(probes);
// allocate the memory for the HashTable
List<MemorySegment> memSegments;
try {
memSegments = this.memManager.allocatePages(MEM_OWNER, 896);
} catch (MemoryAllocationException maex) {
fail("Memory for the Join could not be provided.");
return;
}
// create the map for validating the results
HashMap<Integer, Long> map = new HashMap<Integer, Long>(NUM_KEYS);
// ----------------------------------------------------------------------------------------
final MutableHashTable<IntPair, IntPair> join = new MutableHashTable<IntPair, IntPair>(this.pairBuildSideAccesssor, this.pairProbeSideAccesssor, this.pairBuildSideComparator, this.pairProbeSideComparator, this.pairComparator, memSegments, ioManager);
join.open(buildInput, probeInput);
IntPair record;
final IntPair recordReuse = new IntPair();
while (join.nextRecord()) {
int numBuildValues = 0;
final IntPair probeRec = join.getCurrentProbeRecord();
int key = probeRec.getKey();
MutableObjectIterator<IntPair> buildSide = join.getBuildSideIterator();
if ((record = buildSide.next(recordReuse)) != null) {
numBuildValues = 1;
Assert.assertEquals("Probe-side key was different than build-side key.", key, record.getKey());
} else {
fail("No build side values found for a probe key.");
}
while ((record = buildSide.next(recordReuse)) != null) {
numBuildValues++;
Assert.assertEquals("Probe-side key was different than build-side key.", key, record.getKey());
}
Long contained = map.get(key);
if (contained == null) {
contained = Long.valueOf(numBuildValues);
} else {
contained = Long.valueOf(contained.longValue() + numBuildValues);
}
map.put(key, contained);
}
join.close();
Assert.assertEquals("Wrong number of keys", NUM_KEYS, map.size());
for (Map.Entry<Integer, Long> entry : map.entrySet()) {
long val = entry.getValue();
int key = entry.getKey();
Assert.assertEquals("Wrong number of values in per-key cross product for key " + key, (key == REPEATED_VALUE_1 || key == REPEATED_VALUE_2) ? (PROBE_VALS_PER_KEY + REPEATED_VALUE_COUNT_PROBE) * (BUILD_VALS_PER_KEY + REPEATED_VALUE_COUNT_BUILD) : PROBE_VALS_PER_KEY * BUILD_VALS_PER_KEY, val);
}
// ----------------------------------------------------------------------------------------
this.memManager.release(join.getFreedMemory());
}
use of org.apache.flink.util.MutableObjectIterator in project flink by apache.
the class HashTableITCase method testSpillingHashJoinWithTwoRecursions.
/*
* This test is basically identical to the "testSpillingHashJoinWithMassiveCollisions" test, only that the number
* of repeated values (causing bucket collisions) are large enough to make sure that their target partition no longer
* fits into memory by itself and needs to be repartitioned in the recursion again.
*/
@Test
public void testSpillingHashJoinWithTwoRecursions() throws IOException {
// the following two values are known to have a hash-code collision on the first recursion
// level.
// we use them to make sure one partition grows over-proportionally large
final int REPEATED_VALUE_1 = 40559;
final int REPEATED_VALUE_2 = 92882;
final int REPEATED_VALUE_COUNT_BUILD = 200000;
final int REPEATED_VALUE_COUNT_PROBE = 5;
final int NUM_KEYS = 1000000;
final int BUILD_VALS_PER_KEY = 3;
final int PROBE_VALS_PER_KEY = 10;
// create a build input that gives 3 million pairs with 3 values sharing the same key, plus
// 400k pairs with two colliding keys
MutableObjectIterator<Record> build1 = new UniformRecordGenerator(NUM_KEYS, BUILD_VALS_PER_KEY, false);
MutableObjectIterator<Record> build2 = new ConstantsKeyValuePairsIterator(REPEATED_VALUE_1, 17, REPEATED_VALUE_COUNT_BUILD);
MutableObjectIterator<Record> build3 = new ConstantsKeyValuePairsIterator(REPEATED_VALUE_2, 23, REPEATED_VALUE_COUNT_BUILD);
List<MutableObjectIterator<Record>> builds = new ArrayList<MutableObjectIterator<Record>>();
builds.add(build1);
builds.add(build2);
builds.add(build3);
MutableObjectIterator<Record> buildInput = new UnionIterator<Record>(builds);
// create a probe input that gives 10 million pairs with 10 values sharing a key
MutableObjectIterator<Record> probe1 = new UniformRecordGenerator(NUM_KEYS, PROBE_VALS_PER_KEY, true);
MutableObjectIterator<Record> probe2 = new ConstantsKeyValuePairsIterator(REPEATED_VALUE_1, 17, 5);
MutableObjectIterator<Record> probe3 = new ConstantsKeyValuePairsIterator(REPEATED_VALUE_2, 23, 5);
List<MutableObjectIterator<Record>> probes = new ArrayList<MutableObjectIterator<Record>>();
probes.add(probe1);
probes.add(probe2);
probes.add(probe3);
MutableObjectIterator<Record> probeInput = new UnionIterator<Record>(probes);
// allocate the memory for the HashTable
List<MemorySegment> memSegments;
try {
memSegments = this.memManager.allocatePages(MEM_OWNER, 896);
} catch (MemoryAllocationException maex) {
fail("Memory for the Join could not be provided.");
return;
}
// create the map for validating the results
HashMap<Integer, Long> map = new HashMap<Integer, Long>(NUM_KEYS);
// ----------------------------------------------------------------------------------------
final MutableHashTable<Record, Record> join = new MutableHashTable<Record, Record>(this.recordBuildSideAccesssor, this.recordProbeSideAccesssor, this.recordBuildSideComparator, this.recordProbeSideComparator, this.pactRecordComparator, memSegments, ioManager);
join.open(buildInput, probeInput);
Record record;
final Record recordReuse = new Record();
while (join.nextRecord()) {
int numBuildValues = 0;
final Record probeRec = join.getCurrentProbeRecord();
int key = probeRec.getField(0, IntValue.class).getValue();
MutableObjectIterator<Record> buildSide = join.getBuildSideIterator();
if ((record = buildSide.next(recordReuse)) != null) {
numBuildValues = 1;
Assert.assertEquals("Probe-side key was different than build-side key.", key, record.getField(0, IntValue.class).getValue());
} else {
fail("No build side values found for a probe key.");
}
while ((record = buildSide.next(recordReuse)) != null) {
numBuildValues++;
Assert.assertEquals("Probe-side key was different than build-side key.", key, record.getField(0, IntValue.class).getValue());
}
Long contained = map.get(key);
if (contained == null) {
contained = Long.valueOf(numBuildValues);
} else {
contained = Long.valueOf(contained.longValue() + numBuildValues);
}
map.put(key, contained);
}
join.close();
Assert.assertEquals("Wrong number of keys", NUM_KEYS, map.size());
for (Map.Entry<Integer, Long> entry : map.entrySet()) {
long val = entry.getValue();
int key = entry.getKey();
Assert.assertEquals("Wrong number of values in per-key cross product for key " + key, (key == REPEATED_VALUE_1 || key == REPEATED_VALUE_2) ? (PROBE_VALS_PER_KEY + REPEATED_VALUE_COUNT_PROBE) * (BUILD_VALS_PER_KEY + REPEATED_VALUE_COUNT_BUILD) : PROBE_VALS_PER_KEY * BUILD_VALS_PER_KEY, val);
}
// ----------------------------------------------------------------------------------------
this.memManager.release(join.getFreedMemory());
}
use of org.apache.flink.util.MutableObjectIterator in project flink by apache.
the class CompactingHashTableTest method testHashTableGrowthWithInsert.
// ------------------------------------------------------------------------
// tests
// ------------------------------------------------------------------------
/**
* This has to be duplicated in InPlaceMutableHashTableTest and CompactingHashTableTest because
* of the different constructor calls.
*/
@Test
public void testHashTableGrowthWithInsert() {
try {
final int numElements = 1000000;
List<MemorySegment> memory = getMemory(10000, 32 * 1024);
// we create a hash table that thinks the records are super large. that makes it choose
// initially
// a lot of memory for the partition buffers, and start with a smaller hash table. that
// way
// we trigger a hash table growth early.
CompactingHashTable<Tuple2<Long, String>> table = new CompactingHashTable<Tuple2<Long, String>>(tuple2LongStringSerializer, tuple2LongStringComparator, memory, 10000);
table.open();
for (long i = 0; i < numElements; i++) {
table.insert(new Tuple2<Long, String>(i, String.valueOf(i)));
}
// make sure that all elements are contained via the entry iterator
{
BitSet bitSet = new BitSet(numElements);
MutableObjectIterator<Tuple2<Long, String>> iter = table.getEntryIterator();
Tuple2<Long, String> next;
while ((next = iter.next()) != null) {
assertNotNull(next.f0);
assertNotNull(next.f1);
assertEquals(next.f0.longValue(), Long.parseLong(next.f1));
bitSet.set(next.f0.intValue());
}
assertEquals(numElements, bitSet.cardinality());
}
// make sure all entries are contained via the prober
{
CompactingHashTable<Tuple2<Long, String>>.HashTableProber<Long> proper = table.getProber(probeComparator, pairComparator);
for (long i = 0; i < numElements; i++) {
assertNotNull(proper.getMatchFor(i));
assertNull(proper.getMatchFor(i + numElements));
}
}
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
use of org.apache.flink.util.MutableObjectIterator in project flink by apache.
the class ReusingSortMergeInnerJoinIteratorITCase method testMergeWithHighNumberOfCommonKeys.
@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());
}
}
use of org.apache.flink.util.MutableObjectIterator in project flink by apache.
the class InPlaceMutableHashTableTest method testHashTableGrowthWithInsert.
/**
* This has to be duplicated in InPlaceMutableHashTableTest and CompactingHashTableTest because
* of the different constructor calls.
*/
@Test
public void testHashTableGrowthWithInsert() {
try {
final int numElements = 1000000;
List<MemorySegment> memory = getMemory(10000, 32 * 1024);
InPlaceMutableHashTable<Tuple2<Long, String>> table = new InPlaceMutableHashTable<Tuple2<Long, String>>(serializer, comparator, memory);
table.open();
for (long i = 0; i < numElements; i++) {
table.insert(new Tuple2<Long, String>(i, String.valueOf(i)));
}
// make sure that all elements are contained via the entry iterator
{
BitSet bitSet = new BitSet(numElements);
MutableObjectIterator<Tuple2<Long, String>> iter = table.getEntryIterator();
Tuple2<Long, String> next;
while ((next = iter.next()) != null) {
assertNotNull(next.f0);
assertNotNull(next.f1);
assertEquals(next.f0.longValue(), Long.parseLong(next.f1));
bitSet.set(next.f0.intValue());
}
assertEquals(numElements, bitSet.cardinality());
}
// make sure all entries are contained via the prober
{
InPlaceMutableHashTable<Tuple2<Long, String>>.HashTableProber<Long> proper = table.getProber(probeComparator, pairComparator);
Tuple2<Long, String> reuse = new Tuple2<>();
for (long i = 0; i < numElements; i++) {
assertNotNull(proper.getMatchFor(i, reuse));
assertNull(proper.getMatchFor(i + numElements, reuse));
}
}
table.close();
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
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