use of java.util.Random in project flink by apache.
the class ExternalSortLargeRecordsITCase method testSortWithLongAndShortRecordsMixed.
@Test
public void testSortWithLongAndShortRecordsMixed() {
try {
final int NUM_RECORDS = 1000000;
final int LARGE_REC_INTERVAL = 100000;
final TypeInformation<?>[] types = new TypeInformation<?>[] { BasicTypeInfo.LONG_TYPE_INFO, new ValueTypeInfo<SomeMaybeLongValue>(SomeMaybeLongValue.class) };
final TupleTypeInfo<Tuple2<Long, SomeMaybeLongValue>> typeInfo = new TupleTypeInfo<Tuple2<Long, SomeMaybeLongValue>>(types);
final TypeSerializer<Tuple2<Long, SomeMaybeLongValue>> serializer = typeInfo.createSerializer(new ExecutionConfig());
final TypeComparator<Tuple2<Long, SomeMaybeLongValue>> comparator = typeInfo.createComparator(new int[] { 0 }, new boolean[] { false }, 0, new ExecutionConfig());
MutableObjectIterator<Tuple2<Long, SomeMaybeLongValue>> source = new MutableObjectIterator<Tuple2<Long, SomeMaybeLongValue>>() {
private final Random rnd = new Random(145610843608763871L);
private int num = -1;
@Override
public Tuple2<Long, SomeMaybeLongValue> next(Tuple2<Long, SomeMaybeLongValue> reuse) {
return next();
}
@Override
public Tuple2<Long, SomeMaybeLongValue> next() {
if (++num < NUM_RECORDS) {
long val = rnd.nextLong();
return new Tuple2<Long, SomeMaybeLongValue>(val, new SomeMaybeLongValue((int) val, num % LARGE_REC_INTERVAL == 0));
} else {
return null;
}
}
};
@SuppressWarnings("unchecked") Sorter<Tuple2<Long, SomeMaybeLongValue>> sorter = new UnilateralSortMerger<Tuple2<Long, SomeMaybeLongValue>>(this.memoryManager, this.ioManager, source, this.parentTask, new RuntimeSerializerFactory<Tuple2<Long, SomeMaybeLongValue>>(serializer, (Class<Tuple2<Long, SomeMaybeLongValue>>) (Class<?>) Tuple2.class), comparator, 1.0, 1, 128, 0.7f, true, /*use large record handler*/
true);
// check order
MutableObjectIterator<Tuple2<Long, SomeMaybeLongValue>> iterator = sorter.getIterator();
Tuple2<Long, SomeMaybeLongValue> val = serializer.createInstance();
long prevKey = Long.MAX_VALUE;
for (int i = 0; i < NUM_RECORDS; i++) {
val = iterator.next(val);
assertTrue("Sort order violated", val.f0 <= prevKey);
assertEquals("Serialization of test data type incorrect", val.f0.intValue(), val.f1.val());
}
assertNull(iterator.next(val));
sorter.close();
testSuccess = true;
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
use of java.util.Random in project flink by apache.
the class ExternalSortLargeRecordsITCase method testSortWithShortMediumAndLargeRecords.
@Test
public void testSortWithShortMediumAndLargeRecords() {
try {
final int NUM_RECORDS = 50000;
final int LARGE_REC_INTERVAL = 10000;
final int MEDIUM_REC_INTERVAL = 500;
final TypeInformation<?>[] types = new TypeInformation<?>[] { BasicTypeInfo.LONG_TYPE_INFO, new ValueTypeInfo<SmallOrMediumOrLargeValue>(SmallOrMediumOrLargeValue.class) };
final TupleTypeInfo<Tuple2<Long, SmallOrMediumOrLargeValue>> typeInfo = new TupleTypeInfo<Tuple2<Long, SmallOrMediumOrLargeValue>>(types);
final TypeSerializer<Tuple2<Long, SmallOrMediumOrLargeValue>> serializer = typeInfo.createSerializer(new ExecutionConfig());
final TypeComparator<Tuple2<Long, SmallOrMediumOrLargeValue>> comparator = typeInfo.createComparator(new int[] { 0 }, new boolean[] { false }, 0, new ExecutionConfig());
MutableObjectIterator<Tuple2<Long, SmallOrMediumOrLargeValue>> source = new MutableObjectIterator<Tuple2<Long, SmallOrMediumOrLargeValue>>() {
private final Random rnd = new Random(1456108743687167086L);
private int num = -1;
@Override
public Tuple2<Long, SmallOrMediumOrLargeValue> next(Tuple2<Long, SmallOrMediumOrLargeValue> reuse) {
return next();
}
@Override
public Tuple2<Long, SmallOrMediumOrLargeValue> next() {
if (++num < NUM_RECORDS) {
int size;
if (num % LARGE_REC_INTERVAL == 0) {
size = SmallOrMediumOrLargeValue.LARGE_SIZE;
} else if (num % MEDIUM_REC_INTERVAL == 0) {
size = SmallOrMediumOrLargeValue.MEDIUM_SIZE;
} else {
size = SmallOrMediumOrLargeValue.SMALL_SIZE;
}
long val = rnd.nextLong();
return new Tuple2<Long, SmallOrMediumOrLargeValue>(val, new SmallOrMediumOrLargeValue((int) val, size));
} else {
return null;
}
}
};
@SuppressWarnings("unchecked") Sorter<Tuple2<Long, SmallOrMediumOrLargeValue>> sorter = new UnilateralSortMerger<Tuple2<Long, SmallOrMediumOrLargeValue>>(this.memoryManager, this.ioManager, source, this.parentTask, new RuntimeSerializerFactory<Tuple2<Long, SmallOrMediumOrLargeValue>>(serializer, (Class<Tuple2<Long, SmallOrMediumOrLargeValue>>) (Class<?>) Tuple2.class), comparator, 1.0, 1, 128, 0.7f, true, /*use large record handler*/
false);
// check order
MutableObjectIterator<Tuple2<Long, SmallOrMediumOrLargeValue>> iterator = sorter.getIterator();
Tuple2<Long, SmallOrMediumOrLargeValue> val = serializer.createInstance();
long prevKey = Long.MAX_VALUE;
for (int i = 0; i < NUM_RECORDS; i++) {
val = iterator.next(val);
assertTrue(val.f0 <= prevKey);
assertTrue(val.f0.intValue() == val.f1.val());
}
assertNull(iterator.next(val));
sorter.close();
testSuccess = true;
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
use of java.util.Random in project flink by apache.
the class ExternalSortLargeRecordsITCase method testSortWithMediumRecordsOnly.
@Test
public void testSortWithMediumRecordsOnly() {
try {
final int NUM_RECORDS = 70;
final TypeInformation<?>[] types = new TypeInformation<?>[] { BasicTypeInfo.LONG_TYPE_INFO, new ValueTypeInfo<SmallOrMediumOrLargeValue>(SmallOrMediumOrLargeValue.class) };
final TupleTypeInfo<Tuple2<Long, SmallOrMediumOrLargeValue>> typeInfo = new TupleTypeInfo<Tuple2<Long, SmallOrMediumOrLargeValue>>(types);
final TypeSerializer<Tuple2<Long, SmallOrMediumOrLargeValue>> serializer = typeInfo.createSerializer(new ExecutionConfig());
final TypeComparator<Tuple2<Long, SmallOrMediumOrLargeValue>> comparator = typeInfo.createComparator(new int[] { 0 }, new boolean[] { false }, 0, new ExecutionConfig());
MutableObjectIterator<Tuple2<Long, SmallOrMediumOrLargeValue>> source = new MutableObjectIterator<Tuple2<Long, SmallOrMediumOrLargeValue>>() {
private final Random rnd = new Random(62360187263087678L);
private int num = -1;
@Override
public Tuple2<Long, SmallOrMediumOrLargeValue> next(Tuple2<Long, SmallOrMediumOrLargeValue> reuse) {
return next();
}
@Override
public Tuple2<Long, SmallOrMediumOrLargeValue> next() {
if (++num < NUM_RECORDS) {
long val = rnd.nextLong();
return new Tuple2<Long, SmallOrMediumOrLargeValue>(val, new SmallOrMediumOrLargeValue((int) val, SmallOrMediumOrLargeValue.MEDIUM_SIZE));
} else {
return null;
}
}
};
@SuppressWarnings("unchecked") Sorter<Tuple2<Long, SmallOrMediumOrLargeValue>> sorter = new UnilateralSortMerger<Tuple2<Long, SmallOrMediumOrLargeValue>>(this.memoryManager, this.ioManager, source, this.parentTask, new RuntimeSerializerFactory<Tuple2<Long, SmallOrMediumOrLargeValue>>(serializer, (Class<Tuple2<Long, SmallOrMediumOrLargeValue>>) (Class<?>) Tuple2.class), comparator, 1.0, 1, 128, 0.7f, true, /*use large record handler*/
true);
// check order
MutableObjectIterator<Tuple2<Long, SmallOrMediumOrLargeValue>> iterator = sorter.getIterator();
Tuple2<Long, SmallOrMediumOrLargeValue> val = serializer.createInstance();
long prevKey = Long.MAX_VALUE;
for (int i = 0; i < NUM_RECORDS; i++) {
val = iterator.next(val);
assertTrue(val.f0 <= prevKey);
assertTrue(val.f0.intValue() == val.f1.val());
}
assertNull(iterator.next(val));
sorter.close();
testSuccess = true;
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
use of java.util.Random in project flink by apache.
the class ExternalSortLargeRecordsITCase method testSortWithLongRecordsOnly.
// --------------------------------------------------------------------------------------------
@Test
public void testSortWithLongRecordsOnly() {
try {
final int NUM_RECORDS = 10;
final TypeInformation<?>[] types = new TypeInformation<?>[] { BasicTypeInfo.LONG_TYPE_INFO, new ValueTypeInfo<SomeMaybeLongValue>(SomeMaybeLongValue.class) };
final TupleTypeInfo<Tuple2<Long, SomeMaybeLongValue>> typeInfo = new TupleTypeInfo<Tuple2<Long, SomeMaybeLongValue>>(types);
final TypeSerializer<Tuple2<Long, SomeMaybeLongValue>> serializer = typeInfo.createSerializer(new ExecutionConfig());
final TypeComparator<Tuple2<Long, SomeMaybeLongValue>> comparator = typeInfo.createComparator(new int[] { 0 }, new boolean[] { false }, 0, new ExecutionConfig());
MutableObjectIterator<Tuple2<Long, SomeMaybeLongValue>> source = new MutableObjectIterator<Tuple2<Long, SomeMaybeLongValue>>() {
private final Random rnd = new Random(457821643089756298L);
private int num = 0;
@Override
public Tuple2<Long, SomeMaybeLongValue> next(Tuple2<Long, SomeMaybeLongValue> reuse) {
return next();
}
@Override
public Tuple2<Long, SomeMaybeLongValue> next() {
if (num++ < NUM_RECORDS) {
long val = rnd.nextLong();
return new Tuple2<Long, SomeMaybeLongValue>(val, new SomeMaybeLongValue((int) val));
} else {
return null;
}
}
};
@SuppressWarnings("unchecked") Sorter<Tuple2<Long, SomeMaybeLongValue>> sorter = new UnilateralSortMerger<Tuple2<Long, SomeMaybeLongValue>>(this.memoryManager, this.ioManager, source, this.parentTask, new RuntimeSerializerFactory<Tuple2<Long, SomeMaybeLongValue>>(serializer, (Class<Tuple2<Long, SomeMaybeLongValue>>) (Class<?>) Tuple2.class), comparator, 1.0, 1, 128, 0.7f, true, /* use large record handler */
false);
// check order
MutableObjectIterator<Tuple2<Long, SomeMaybeLongValue>> iterator = sorter.getIterator();
Tuple2<Long, SomeMaybeLongValue> val = serializer.createInstance();
long prevKey = Long.MAX_VALUE;
for (int i = 0; i < NUM_RECORDS; i++) {
val = iterator.next(val);
assertTrue(val.f0 <= prevKey);
assertTrue(val.f0.intValue() == val.f1.val());
}
assertNull(iterator.next(val));
sorter.close();
testSuccess = true;
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
}
}
use of java.util.Random in project flink by apache.
the class LargeRecordHandlerITCase method fileTest.
@Test
public void fileTest() {
final IOManager ioMan = new IOManagerAsync();
final int PAGE_SIZE = 4 * 1024;
final int NUM_PAGES = 4;
final int NUM_RECORDS = 10;
FileIOChannel.ID channel = null;
try {
final MemoryManager memMan = new MemoryManager(NUM_PAGES * PAGE_SIZE, 1, PAGE_SIZE, MemoryType.HEAP, true);
final AbstractInvokable owner = new DummyInvokable();
final List<MemorySegment> memory = memMan.allocatePages(owner, NUM_PAGES);
final TypeInformation<?>[] types = new TypeInformation<?>[] { BasicTypeInfo.LONG_TYPE_INFO, new ValueTypeInfo<SomeVeryLongValue>(SomeVeryLongValue.class), BasicTypeInfo.BYTE_TYPE_INFO };
final TupleTypeInfo<Tuple3<Long, SomeVeryLongValue, Byte>> typeInfo = new TupleTypeInfo<Tuple3<Long, SomeVeryLongValue, Byte>>(types);
final TypeSerializer<Tuple3<Long, SomeVeryLongValue, Byte>> serializer = typeInfo.createSerializer(new ExecutionConfig());
channel = ioMan.createChannel();
FileChannelOutputView out = new FileChannelOutputView(ioMan.createBlockChannelWriter(channel), memMan, memory, PAGE_SIZE);
// add the test data
Random rnd = new Random();
List<Long> offsets = new ArrayList<Long>();
for (int i = 0; i < NUM_RECORDS; i++) {
offsets.add(out.getWriteOffset());
long val = rnd.nextLong();
Tuple3<Long, SomeVeryLongValue, Byte> next = new Tuple3<Long, SomeVeryLongValue, Byte>(val, new SomeVeryLongValue((int) val), (byte) val);
serializer.serialize(next, out);
}
out.close();
for (int i = 1; i < offsets.size(); i++) {
assertTrue(offsets.get(i) > offsets.get(i - 1));
}
memMan.allocatePages(owner, memory, NUM_PAGES);
SeekableFileChannelInputView in = new SeekableFileChannelInputView(ioMan, channel, memMan, memory, out.getBytesInLatestSegment());
for (int i = 0; i < NUM_RECORDS; i++) {
in.seek(offsets.get(i));
Tuple3<Long, SomeVeryLongValue, Byte> next = serializer.deserialize(in);
// key and value must be equal
assertTrue(next.f0.intValue() == next.f1.val());
assertTrue(next.f0.byteValue() == next.f2);
}
in.closeAndDelete();
} catch (Exception e) {
e.printStackTrace();
fail(e.getMessage());
} finally {
if (channel != null) {
try {
ioMan.deleteChannel(channel);
} catch (IOException ignored) {
}
}
ioMan.shutdown();
}
}
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