use of org.apache.flink.table.data.binary.BinaryRowData in project flink by apache.
the class BinaryHashTableTest method testBucketsNotFulfillSegment.
@Test
public void testBucketsNotFulfillSegment() throws Exception {
final int numKeys = 10000;
final int buildValsPerKey = 3;
final int probeValsPerKey = 10;
// create a build input that gives 30000 pairs with 3 values sharing the same key
MutableObjectIterator<BinaryRowData> buildInput = new UniformBinaryRowGenerator(numKeys, buildValsPerKey, false);
// create a probe input that gives 100000 pairs with 10 values sharing a key
MutableObjectIterator<BinaryRowData> probeInput = new UniformBinaryRowGenerator(numKeys, probeValsPerKey, true);
// allocate the memory for the HashTable
MemoryManager memManager = MemoryManagerBuilder.newBuilder().setMemorySize(35 * PAGE_SIZE).build();
// ----------------------------------------------------------------------------------------
final BinaryHashTable table = new BinaryHashTable(conf, new Object(), this.buildSideSerializer, this.probeSideSerializer, new MyProjection(), new MyProjection(), memManager, 35 * PAGE_SIZE, ioManager, 24, 200000, true, HashJoinType.INNER, null, false, new boolean[] { true }, false);
// For FLINK-2545, the buckets data may not fulfill it's buffer, for example, the buffer may
// contains 256 buckets,
// while hash table only assign 250 bucket on it. The unused buffer bytes may contains
// arbitrary data, which may
// influence hash table if forget to skip it. To mock this, put the invalid bucket
// data(partition=1, inMemory=true, count=-1)
// at the end of buffer.
int totalPages = table.getInternalPool().freePages();
for (int i = 0; i < totalPages; i++) {
MemorySegment segment = table.getInternalPool().nextSegment();
int newBucketOffset = segment.size() - 128;
// initialize the header fields
segment.put(newBucketOffset, (byte) 0);
segment.put(newBucketOffset + 1, (byte) 0);
segment.putShort(newBucketOffset + 2, (short) -1);
segment.putLong(newBucketOffset + 4, ~0x0L);
table.returnPage(segment);
}
int numRecordsInJoinResult = join(table, buildInput, probeInput);
Assert.assertEquals("Wrong number of records in join result.", numKeys * buildValsPerKey * probeValsPerKey, numRecordsInJoinResult);
table.close();
table.free();
}
use of org.apache.flink.table.data.binary.BinaryRowData in project flink by apache.
the class BinaryHashTableTest method testSpillingHashJoinOneRecursionPerformance.
@Test
public void testSpillingHashJoinOneRecursionPerformance() throws IOException {
final int numKeys = 1000000;
final int buildValsPerKey = 3;
final int probeValsPerKey = 10;
// create a build input that gives 3 million pairs with 3 values sharing the same key
MutableObjectIterator<BinaryRowData> buildInput = new UniformBinaryRowGenerator(numKeys, buildValsPerKey, false);
// create a probe input that gives 10 million pairs with 10 values sharing a key
MutableObjectIterator<BinaryRowData> probeInput = new UniformBinaryRowGenerator(numKeys, probeValsPerKey, true);
// allocate the memory for the HashTable
MemoryManager memManager = MemoryManagerBuilder.newBuilder().setMemorySize(200 * PAGE_SIZE).setPageSize(PAGE_SIZE).build();
final BinaryHashTable table = newBinaryHashTable(this.buildSideSerializer, this.probeSideSerializer, new MyProjection(), new MyProjection(), memManager, 100 * PAGE_SIZE, ioManager);
// ----------------------------------------------------------------------------------------
int numRecordsInJoinResult = join(table, buildInput, probeInput);
Assert.assertEquals("Wrong number of records in join result.", numKeys * buildValsPerKey * probeValsPerKey, numRecordsInJoinResult);
table.close();
// ----------------------------------------------------------------------------------------
table.free();
}
use of org.apache.flink.table.data.binary.BinaryRowData in project flink by apache.
the class BinaryHashTableTest method testHashWithBuildSideOuterJoin2.
@Test
public void testHashWithBuildSideOuterJoin2() throws Exception {
final int numKeys = 40000;
final int buildValsPerKey = 2;
final int probeValsPerKey = 1;
// The keys of probe and build sides are overlapped, so there would be none unmatched build
// elements
// after probe phase, make sure build side outer join works well in this case.
// create a build input that gives 80000 pairs with 2 values sharing the same key
MutableObjectIterator<BinaryRowData> buildInput = new UniformBinaryRowGenerator(numKeys, buildValsPerKey, false);
// create a probe input that gives 40000 pairs with 1 values sharing a key
MutableObjectIterator<BinaryRowData> probeInput = new UniformBinaryRowGenerator(numKeys, probeValsPerKey, true);
// allocate the memory for the HashTable
MemoryManager memManager = MemoryManagerBuilder.newBuilder().setMemorySize(35 * PAGE_SIZE).build();
final BinaryHashTable table = newBinaryHashTable(this.buildSideSerializer, this.probeSideSerializer, new MyProjection(), new MyProjection(), memManager, 33 * PAGE_SIZE, ioManager);
// ----------------------------------------------------------------------------------------
int numRecordsInJoinResult = join(table, buildInput, probeInput, true);
Assert.assertEquals("Wrong number of records in join result.", numKeys * buildValsPerKey * probeValsPerKey, numRecordsInJoinResult);
table.close();
table.free();
}
use of org.apache.flink.table.data.binary.BinaryRowData in project flink by apache.
the class BinaryHashTableTest method testJoin.
private void testJoin(BinaryHashTable table, HashMap<Integer, Long> map) throws IOException {
BinaryRowData record;
int numBuildValues = 0;
final RowData probeRec = table.getCurrentProbeRow();
int key = probeRec.getInt(0);
RowIterator<BinaryRowData> buildSide = table.getBuildSideIterator();
if (buildSide.advanceNext()) {
numBuildValues = 1;
record = buildSide.getRow();
assertEquals("Probe-side key was different than build-side key.", key, record.getInt(0));
} else {
fail("No build side values found for a probe key.");
}
while (buildSide.advanceNext()) {
numBuildValues++;
record = buildSide.getRow();
assertEquals("Probe-side key was different than build-side key.", key, record.getInt(0));
}
Long contained = map.get(key);
if (contained == null) {
contained = (long) numBuildValues;
} else {
contained = contained + numBuildValues;
}
map.put(key, contained);
}
use of org.apache.flink.table.data.binary.BinaryRowData in project flink by apache.
the class LongHashTableTest method testSpillingHashJoinWithMassiveCollisions.
@Test
public void testSpillingHashJoinWithMassiveCollisions() throws IOException {
// the following two values are known to have a hash-code collision on the initial level.
// we use them to make sure one partition grows over-proportionally large
final int repeatedValue1 = 40559;
final int repeatedValue2 = 92882;
final int repeatedValueCountBuild = 200000;
final int repeatedValueCountProbe = 5;
final int numKeys = 1000000;
final int buildValsPerKey = 3;
final int probeValsPerKey = 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<BinaryRowData> build1 = new UniformBinaryRowGenerator(numKeys, buildValsPerKey, false);
MutableObjectIterator<BinaryRowData> build2 = new BinaryHashTableTest.ConstantsKeyValuePairsIterator(repeatedValue1, 17, repeatedValueCountBuild);
MutableObjectIterator<BinaryRowData> build3 = new BinaryHashTableTest.ConstantsKeyValuePairsIterator(repeatedValue2, 23, repeatedValueCountBuild);
List<MutableObjectIterator<BinaryRowData>> builds = new ArrayList<>();
builds.add(build1);
builds.add(build2);
builds.add(build3);
MutableObjectIterator<BinaryRowData> buildInput = new UnionIterator<>(builds);
// create a probe input that gives 10 million pairs with 10 values sharing a key
MutableObjectIterator<BinaryRowData> probe1 = new UniformBinaryRowGenerator(numKeys, probeValsPerKey, true);
MutableObjectIterator<BinaryRowData> probe2 = new BinaryHashTableTest.ConstantsKeyValuePairsIterator(repeatedValue1, 17, 5);
MutableObjectIterator<BinaryRowData> probe3 = new BinaryHashTableTest.ConstantsKeyValuePairsIterator(repeatedValue2, 23, 5);
List<MutableObjectIterator<BinaryRowData>> probes = new ArrayList<>();
probes.add(probe1);
probes.add(probe2);
probes.add(probe3);
MutableObjectIterator<BinaryRowData> probeInput = new UnionIterator<>(probes);
// create the map for validating the results
HashMap<Integer, Long> map = new HashMap<>(numKeys);
final MyHashTable table = new MyHashTable(896 * PAGE_SIZE);
BinaryRowData buildRow = buildSideSerializer.createInstance();
while ((buildRow = buildInput.next(buildRow)) != null) {
table.putBuildRow(buildRow);
}
table.endBuild();
BinaryRowData probeRow = probeSideSerializer.createInstance();
while ((probeRow = probeInput.next(probeRow)) != null) {
if (table.tryProbe(probeRow)) {
testJoin(table, map);
}
}
while (table.nextMatching()) {
testJoin(table, map);
}
table.close();
Assert.assertEquals("Wrong number of keys", numKeys, 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 == repeatedValue1 || key == repeatedValue2) ? (probeValsPerKey + repeatedValueCountProbe) * (buildValsPerKey + repeatedValueCountBuild) : probeValsPerKey * buildValsPerKey, val);
}
// ----------------------------------------------------------------------------------------
table.free();
}
Aggregations