1
0

Support union mode in HoodieRealtimeRecordReader for pure insert workloads

Also Replace BufferedIteratorPayload abstraction with function passing
This commit is contained in:
Balaji Varadarajan
2018-04-26 10:18:05 -07:00
committed by vinoth chandar
parent 93f345a032
commit dfc0c61eb7
44 changed files with 2545 additions and 1179 deletions

View File

@@ -16,39 +16,35 @@
package com.uber.hoodie.func;
import static com.uber.hoodie.func.LazyInsertIterable.getTransformFunction;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;
import com.uber.hoodie.common.HoodieTestDataGenerator;
import com.uber.hoodie.common.model.HoodieRecord;
import com.uber.hoodie.common.table.timeline.HoodieActiveTimeline;
import com.uber.hoodie.common.util.queue.BoundedInMemoryQueueConsumer;
import com.uber.hoodie.config.HoodieWriteConfig;
import java.util.List;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.function.Function;
import java.util.Optional;
import org.apache.avro.generic.IndexedRecord;
import org.junit.After;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import scala.Tuple2;
public class TestBufferedIteratorExecutor {
public class TestBoundedInMemoryExecutor {
private final HoodieTestDataGenerator hoodieTestDataGenerator = new HoodieTestDataGenerator();
private final String commitTime = HoodieActiveTimeline.createNewCommitTime();
private ExecutorService executorService = null;
@Before
public void beforeTest() {
this.executorService = Executors.newFixedThreadPool(1);
}
private SparkBoundedInMemoryExecutor<HoodieRecord,
Tuple2<HoodieRecord, Optional<IndexedRecord>>, Integer> executor = null;
@After
public void afterTest() {
if (this.executorService != null) {
this.executorService.shutdownNow();
this.executorService = null;
if (this.executor != null) {
this.executor.shutdownNow();
this.executor = null;
}
}
@@ -59,21 +55,32 @@ public class TestBufferedIteratorExecutor {
HoodieWriteConfig hoodieWriteConfig = mock(HoodieWriteConfig.class);
when(hoodieWriteConfig.getWriteBufferLimitBytes()).thenReturn(1024);
BufferedIteratorExecutor bufferedIteratorExecutor = new BufferedIteratorExecutor(hoodieWriteConfig,
hoodieRecords.iterator(), LazyInsertIterable.bufferedItrPayloadTransform(HoodieTestDataGenerator.avroSchema),
executorService);
Function<BufferedIterator, Integer> function = (bufferedIterator) -> {
Integer count = 0;
while (bufferedIterator.hasNext()) {
count++;
bufferedIterator.next();
}
return count;
};
Future<Integer> future = bufferedIteratorExecutor.start(function);
BoundedInMemoryQueueConsumer<Tuple2<HoodieRecord, Optional<IndexedRecord>>, Integer> consumer =
new BoundedInMemoryQueueConsumer<Tuple2<HoodieRecord, Optional<IndexedRecord>>, Integer>() {
private int count = 0;
@Override
protected void consumeOneRecord(Tuple2<HoodieRecord, Optional<IndexedRecord>> record) {
count++;
}
@Override
protected void finish() {
}
@Override
protected Integer getResult() {
return count;
}
};
executor = new SparkBoundedInMemoryExecutor(hoodieWriteConfig,
hoodieRecords.iterator(), consumer, getTransformFunction(HoodieTestDataGenerator.avroSchema));
int result = executor.execute();
// It should buffer and write 100 records
Assert.assertEquals((int) future.get(), 100);
Assert.assertEquals(result, 100);
// There should be no remaining records in the buffer
Assert.assertFalse(bufferedIteratorExecutor.isRemaining());
Assert.assertFalse(executor.isRemaining());
}
}

View File

@@ -0,0 +1,336 @@
/*
* Copyright (c) 2018 Uber Technologies, Inc. (hoodie-dev-group@uber.com)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.uber.hoodie.func;
import static com.uber.hoodie.func.LazyInsertIterable.getTransformFunction;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;
import com.uber.hoodie.common.HoodieTestDataGenerator;
import com.uber.hoodie.common.model.HoodieRecord;
import com.uber.hoodie.common.table.timeline.HoodieActiveTimeline;
import com.uber.hoodie.common.util.DefaultSizeEstimator;
import com.uber.hoodie.common.util.SizeEstimator;
import com.uber.hoodie.common.util.queue.BoundedInMemoryQueue;
import com.uber.hoodie.common.util.queue.BoundedInMemoryQueueProducer;
import com.uber.hoodie.common.util.queue.FunctionBasedQueueProducer;
import com.uber.hoodie.common.util.queue.IteratorBasedQueueProducer;
import com.uber.hoodie.exception.HoodieException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.Semaphore;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
import org.apache.avro.generic.IndexedRecord;
import org.apache.commons.io.FileUtils;
import org.junit.After;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
import scala.Tuple2;
public class TestBoundedInMemoryQueue {
private final HoodieTestDataGenerator hoodieTestDataGenerator = new HoodieTestDataGenerator();
private final String commitTime = HoodieActiveTimeline.createNewCommitTime();
private ExecutorService executorService = null;
@Before
public void beforeTest() {
this.executorService = Executors.newFixedThreadPool(2);
}
@After
public void afterTest() {
if (this.executorService != null) {
this.executorService.shutdownNow();
this.executorService = null;
}
}
// Test to ensure that we are reading all records from queue iterator in the same order
// without any exceptions.
@SuppressWarnings("unchecked")
@Test(timeout = 60000)
public void testRecordReading() throws Exception {
final int numRecords = 128;
final List<HoodieRecord> hoodieRecords = hoodieTestDataGenerator.generateInserts(commitTime, numRecords);
final BoundedInMemoryQueue<HoodieRecord,
Tuple2<HoodieRecord, Optional<IndexedRecord>>> queue = new BoundedInMemoryQueue(FileUtils.ONE_KB,
getTransformFunction(HoodieTestDataGenerator.avroSchema));
// Produce
Future<Boolean> resFuture =
executorService.submit(() -> {
new IteratorBasedQueueProducer<>(hoodieRecords.iterator()).produce(queue);
queue.close();
return true;
});
final Iterator<HoodieRecord> originalRecordIterator = hoodieRecords.iterator();
int recordsRead = 0;
while (queue.iterator().hasNext()) {
final HoodieRecord originalRecord = originalRecordIterator.next();
final Optional<IndexedRecord> originalInsertValue = originalRecord.getData()
.getInsertValue(HoodieTestDataGenerator.avroSchema);
final Tuple2<HoodieRecord, Optional<IndexedRecord>> payload = queue.iterator().next();
// Ensure that record ordering is guaranteed.
Assert.assertEquals(originalRecord, payload._1());
// cached insert value matches the expected insert value.
Assert.assertEquals(originalInsertValue,
payload._1().getData().getInsertValue(HoodieTestDataGenerator.avroSchema));
recordsRead++;
}
Assert.assertFalse(queue.iterator().hasNext() || originalRecordIterator.hasNext());
// all the records should be read successfully.
Assert.assertEquals(numRecords, recordsRead);
// should not throw any exceptions.
resFuture.get();
}
/**
* Test to ensure that we are reading all records from queue iterator when we have multiple producers
*/
@SuppressWarnings("unchecked")
@Test(timeout = 60000)
public void testCompositeProducerRecordReading() throws Exception {
final int numRecords = 1000;
final int numProducers = 40;
final List<List<HoodieRecord>> recs = new ArrayList<>();
final BoundedInMemoryQueue<HoodieRecord, Tuple2<HoodieRecord, Optional<IndexedRecord>>> queue =
new BoundedInMemoryQueue(FileUtils.ONE_KB, getTransformFunction(HoodieTestDataGenerator.avroSchema));
// Record Key to <Producer Index, Rec Index within a producer>
Map<String, Tuple2<Integer, Integer>> keyToProducerAndIndexMap = new HashMap<>();
for (int i = 0; i < numProducers; i++) {
List<HoodieRecord> pRecs = hoodieTestDataGenerator.generateInserts(commitTime, numRecords);
int j = 0;
for (HoodieRecord r : pRecs) {
Assert.assertTrue(!keyToProducerAndIndexMap.containsKey(r.getRecordKey()));
keyToProducerAndIndexMap.put(r.getRecordKey(), new Tuple2<>(i, j));
j++;
}
recs.add(pRecs);
}
List<BoundedInMemoryQueueProducer<HoodieRecord>> producers = new ArrayList<>();
for (int i = 0; i < recs.size(); i++) {
final List<HoodieRecord> r = recs.get(i);
// Alternate between pull and push based iterators
if (i % 2 == 0) {
producers.add(new IteratorBasedQueueProducer<>(r.iterator()));
} else {
producers.add(new FunctionBasedQueueProducer<HoodieRecord>((buf) -> {
Iterator<HoodieRecord> itr = r.iterator();
while (itr.hasNext()) {
try {
buf.insertRecord(itr.next());
} catch (Exception e) {
throw new HoodieException(e);
}
}
return true;
}));
}
}
final List<Future<Boolean>> futureList = producers.stream().map(producer -> {
return executorService.submit(() -> {
producer.produce(queue);
return true;
});
}).collect(Collectors.toList());
// Close queue
Future<Boolean> closeFuture = executorService.submit(() -> {
try {
for (Future f : futureList) {
f.get();
}
queue.close();
} catch (Exception e) {
throw new RuntimeException(e);
}
return true;
});
// Used to ensure that consumer sees the records generated by a single producer in FIFO order
Map<Integer, Integer> lastSeenMap = IntStream.range(0, numProducers).boxed()
.collect(Collectors.toMap(Function.identity(), x -> -1));
Map<Integer, Integer> countMap = IntStream.range(0, numProducers).boxed()
.collect(Collectors.toMap(Function.identity(), x -> 0));
// Read recs and ensure we have covered all producer recs.
while (queue.iterator().hasNext()) {
final Tuple2<HoodieRecord, Optional<IndexedRecord>> payload = queue.iterator().next();
final HoodieRecord rec = payload._1();
Tuple2<Integer, Integer> producerPos = keyToProducerAndIndexMap.get(rec.getRecordKey());
Integer lastSeenPos = lastSeenMap.get(producerPos._1());
countMap.put(producerPos._1(), countMap.get(producerPos._1()) + 1);
lastSeenMap.put(producerPos._1(), lastSeenPos + 1);
// Ensure we are seeing the next record generated
Assert.assertEquals(lastSeenPos + 1, producerPos._2().intValue());
}
for (int i = 0; i < numProducers; i++) {
// Ensure we have seen all the records for each producers
Assert.assertEquals(Integer.valueOf(numRecords), countMap.get(i));
}
//Ensure Close future is done
closeFuture.get();
}
// Test to ensure that record queueing is throttled when we hit memory limit.
@SuppressWarnings("unchecked")
@Test(timeout = 60000)
public void testMemoryLimitForBuffering() throws Exception {
final int numRecords = 128;
final List<HoodieRecord> hoodieRecords = hoodieTestDataGenerator.generateInserts(commitTime, numRecords);
// maximum number of records to keep in memory.
final int recordLimit = 5;
final SizeEstimator<Tuple2<HoodieRecord, Optional<IndexedRecord>>> sizeEstimator =
new DefaultSizeEstimator<>();
final long objSize = sizeEstimator.sizeEstimate(
getTransformFunction(HoodieTestDataGenerator.avroSchema).apply(hoodieRecords.get(0)));
final long memoryLimitInBytes = recordLimit * objSize;
final BoundedInMemoryQueue<HoodieRecord, Tuple2<HoodieRecord, Optional<IndexedRecord>>> queue =
new BoundedInMemoryQueue(memoryLimitInBytes,
getTransformFunction(HoodieTestDataGenerator.avroSchema));
// Produce
Future<Boolean> resFuture = executorService.submit(() -> {
new IteratorBasedQueueProducer<>(hoodieRecords.iterator()).produce(queue);
return true;
});
// waiting for permits to expire.
while (!isQueueFull(queue.rateLimiter)) {
Thread.sleep(10);
}
Assert.assertEquals(0, queue.rateLimiter.availablePermits());
Assert.assertEquals(recordLimit, queue.currentRateLimit);
Assert.assertEquals(recordLimit, queue.size());
Assert.assertEquals(recordLimit - 1, queue.samplingRecordCounter.get());
// try to read 2 records.
Assert.assertEquals(hoodieRecords.get(0), queue.iterator().next()._1());
Assert.assertEquals(hoodieRecords.get(1), queue.iterator().next()._1());
// waiting for permits to expire.
while (!isQueueFull(queue.rateLimiter)) {
Thread.sleep(10);
}
// No change is expected in rate limit or number of queued records. We only expect
// queueing thread to read
// 2 more records into the queue.
Assert.assertEquals(0, queue.rateLimiter.availablePermits());
Assert.assertEquals(recordLimit, queue.currentRateLimit);
Assert.assertEquals(recordLimit, queue.size());
Assert.assertEquals(recordLimit - 1 + 2, queue.samplingRecordCounter.get());
}
// Test to ensure that exception in either queueing thread or BufferedIterator-reader thread
// is propagated to
// another thread.
@SuppressWarnings("unchecked")
@Test(timeout = 60000)
public void testException() throws Exception {
final int numRecords = 256;
final List<HoodieRecord> hoodieRecords = hoodieTestDataGenerator.generateInserts(commitTime, numRecords);
final SizeEstimator<Tuple2<HoodieRecord, Optional<IndexedRecord>>> sizeEstimator =
new DefaultSizeEstimator<>();
// queue memory limit
final long objSize = sizeEstimator.sizeEstimate(
getTransformFunction(HoodieTestDataGenerator.avroSchema).apply(hoodieRecords.get(0)));
final long memoryLimitInBytes = 4 * objSize;
// first let us throw exception from queueIterator reader and test that queueing thread
// stops and throws
// correct exception back.
BoundedInMemoryQueue<HoodieRecord, Tuple2<HoodieRecord, Optional<IndexedRecord>>> queue1 =
new BoundedInMemoryQueue(memoryLimitInBytes, getTransformFunction(HoodieTestDataGenerator.avroSchema));
// Produce
Future<Boolean> resFuture = executorService.submit(() -> {
new IteratorBasedQueueProducer<>(hoodieRecords.iterator()).produce(queue1);
return true;
});
// waiting for permits to expire.
while (!isQueueFull(queue1.rateLimiter)) {
Thread.sleep(10);
}
// notify queueing thread of an exception and ensure that it exits.
final Exception e = new Exception("Failing it :)");
queue1.markAsFailed(e);
try {
resFuture.get();
Assert.fail("exception is expected");
} catch (ExecutionException e1) {
Assert.assertEquals(HoodieException.class, e1.getCause().getClass());
Assert.assertEquals(e, e1.getCause().getCause());
}
// second let us raise an exception while doing record queueing. this exception should get
// propagated to
// queue iterator reader.
final RuntimeException expectedException = new RuntimeException("failing record reading");
final Iterator<HoodieRecord> mockHoodieRecordsIterator = mock(Iterator.class);
when(mockHoodieRecordsIterator.hasNext()).thenReturn(true);
when(mockHoodieRecordsIterator.next()).thenThrow(expectedException);
BoundedInMemoryQueue<HoodieRecord, Tuple2<HoodieRecord, Optional<IndexedRecord>>> queue2 =
new BoundedInMemoryQueue(memoryLimitInBytes, getTransformFunction(HoodieTestDataGenerator.avroSchema));
// Produce
Future<Boolean> res = executorService.submit(() -> {
try {
new IteratorBasedQueueProducer<>(mockHoodieRecordsIterator).produce(queue2);
} catch (Exception ex) {
queue2.markAsFailed(ex);
throw ex;
}
return true;
});
try {
queue2.iterator().hasNext();
Assert.fail("exception is expected");
} catch (Exception e1) {
Assert.assertEquals(expectedException, e1.getCause());
}
// queueing thread should also have exited. make sure that it is not running.
try {
res.get();
Assert.fail("exception is expected");
} catch (ExecutionException e2) {
Assert.assertEquals(expectedException, e2.getCause());
}
}
private boolean isQueueFull(Semaphore rateLimiter) {
return (rateLimiter.availablePermits() == 0 && rateLimiter.hasQueuedThreads());
}
}

View File

@@ -1,203 +0,0 @@
/*
* Copyright (c) 2018 Uber Technologies, Inc. (hoodie-dev-group@uber.com)
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.uber.hoodie.func;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;
import com.uber.hoodie.common.HoodieTestDataGenerator;
import com.uber.hoodie.common.model.HoodieRecord;
import com.uber.hoodie.common.table.timeline.HoodieActiveTimeline;
import com.uber.hoodie.exception.HoodieException;
import com.uber.hoodie.func.payload.AbstractBufferedIteratorPayload;
import com.uber.hoodie.func.payload.HoodieRecordBufferedIteratorPayload;
import java.io.IOException;
import java.util.Iterator;
import java.util.List;
import java.util.Optional;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.Semaphore;
import org.apache.avro.generic.IndexedRecord;
import org.apache.commons.io.FileUtils;
import org.apache.spark.util.SizeEstimator;
import org.junit.After;
import org.junit.Assert;
import org.junit.Before;
import org.junit.Test;
public class TestBufferedIterator {
private final HoodieTestDataGenerator hoodieTestDataGenerator = new HoodieTestDataGenerator();
private final String commitTime = HoodieActiveTimeline.createNewCommitTime();
private ExecutorService recordReader = null;
@Before
public void beforeTest() {
this.recordReader = Executors.newFixedThreadPool(1);
}
@After
public void afterTest() {
if (this.recordReader != null) {
this.recordReader.shutdownNow();
this.recordReader = null;
}
}
// Test to ensure that we are reading all records from buffered iterator in the same order
// without any exceptions.
@Test(timeout = 60000)
public void testRecordReading() throws IOException, ExecutionException, InterruptedException {
final int numRecords = 128;
final List<HoodieRecord> hoodieRecords = hoodieTestDataGenerator.generateInserts(commitTime, numRecords);
final BufferedIterator bufferedIterator = new BufferedIterator(hoodieRecords.iterator(), FileUtils.ONE_KB,
LazyInsertIterable.bufferedItrPayloadTransform(HoodieTestDataGenerator.avroSchema));
Future<Boolean> result = recordReader.submit(() -> {
bufferedIterator.startBuffering();
return true;
});
final Iterator<HoodieRecord> originalRecordIterator = hoodieRecords.iterator();
int recordsRead = 0;
while (bufferedIterator.hasNext()) {
final HoodieRecord originalRecord = originalRecordIterator.next();
final Optional<IndexedRecord> originalInsertValue = originalRecord.getData()
.getInsertValue(HoodieTestDataGenerator.avroSchema);
final HoodieRecordBufferedIteratorPayload payload = (HoodieRecordBufferedIteratorPayload) bufferedIterator.next();
// Ensure that record ordering is guaranteed.
Assert.assertEquals(originalRecord, payload.getInputPayload());
// cached insert value matches the expected insert value.
Assert.assertEquals(originalInsertValue,
((HoodieRecord) payload.getInputPayload()).getData().getInsertValue(HoodieTestDataGenerator.avroSchema));
recordsRead++;
}
Assert.assertFalse(bufferedIterator.hasNext() || originalRecordIterator.hasNext());
// all the records should be read successfully.
Assert.assertEquals(numRecords, recordsRead);
// should not throw any exceptions.
Assert.assertTrue(result.get());
}
// Test to ensure that record buffering is throttled when we hit memory limit.
@Test(timeout = 60000)
public void testMemoryLimitForBuffering() throws IOException, InterruptedException {
final int numRecords = 128;
final List<HoodieRecord> hoodieRecords = hoodieTestDataGenerator.generateInserts(commitTime, numRecords);
// maximum number of records to keep in memory.
final int recordLimit = 5;
final long memoryLimitInBytes = recordLimit * SizeEstimator.estimate(hoodieRecords.get(0));
final BufferedIterator<HoodieRecord, AbstractBufferedIteratorPayload> bufferedIterator =
new BufferedIterator(hoodieRecords.iterator(), memoryLimitInBytes,
LazyInsertIterable.bufferedItrPayloadTransform(HoodieTestDataGenerator.avroSchema));
Future<Boolean> result = recordReader.submit(() -> {
bufferedIterator.startBuffering();
return true;
});
// waiting for permits to expire.
while (!isQueueFull(bufferedIterator.rateLimiter)) {
Thread.sleep(10);
}
Assert.assertEquals(0, bufferedIterator.rateLimiter.availablePermits());
Assert.assertEquals(recordLimit, bufferedIterator.currentRateLimit);
Assert.assertEquals(recordLimit, bufferedIterator.size());
Assert.assertEquals(recordLimit - 1, bufferedIterator.samplingRecordCounter.get());
// try to read 2 records.
Assert.assertEquals(hoodieRecords.get(0), bufferedIterator.next().getInputPayload());
Assert.assertEquals(hoodieRecords.get(1), bufferedIterator.next().getInputPayload());
// waiting for permits to expire.
while (!isQueueFull(bufferedIterator.rateLimiter)) {
Thread.sleep(10);
}
// No change is expected in rate limit or number of buffered records. We only expect
// buffering thread to read
// 2 more records into the buffer.
Assert.assertEquals(0, bufferedIterator.rateLimiter.availablePermits());
Assert.assertEquals(recordLimit, bufferedIterator.currentRateLimit);
Assert.assertEquals(recordLimit, bufferedIterator.size());
Assert.assertEquals(recordLimit - 1 + 2, bufferedIterator.samplingRecordCounter.get());
}
// Test to ensure that exception in either buffering thread or BufferedIterator-reader thread
// is propagated to
// another thread.
@Test(timeout = 60000)
public void testException() throws IOException, InterruptedException {
final int numRecords = 256;
final List<HoodieRecord> hoodieRecords = hoodieTestDataGenerator.generateInserts(commitTime, numRecords);
// buffer memory limit
final long memoryLimitInBytes = 4 * SizeEstimator.estimate(hoodieRecords.get(0));
// first let us throw exception from bufferIterator reader and test that buffering thread
// stops and throws
// correct exception back.
BufferedIterator bufferedIterator1 = new BufferedIterator(hoodieRecords.iterator(), memoryLimitInBytes,
LazyInsertIterable.bufferedItrPayloadTransform(HoodieTestDataGenerator.avroSchema));
Future<Boolean> result = recordReader.submit(() -> {
bufferedIterator1.startBuffering();
return true;
});
// waiting for permits to expire.
while (!isQueueFull(bufferedIterator1.rateLimiter)) {
Thread.sleep(10);
}
// notify buffering thread of an exception and ensure that it exits.
final Exception e = new Exception("Failing it :)");
bufferedIterator1.markAsFailed(e);
try {
result.get();
Assert.fail("exception is expected");
} catch (ExecutionException e1) {
Assert.assertEquals(HoodieException.class, e1.getCause().getClass());
Assert.assertEquals(e, e1.getCause().getCause());
}
// second let us raise an exception while doing record buffering. this exception should get
// propagated to
// buffered iterator reader.
final RuntimeException expectedException = new RuntimeException("failing record reading");
final Iterator<HoodieRecord> mockHoodieRecordsIterator = mock(Iterator.class);
when(mockHoodieRecordsIterator.hasNext()).thenReturn(true);
when(mockHoodieRecordsIterator.next()).thenThrow(expectedException);
BufferedIterator bufferedIterator2 = new BufferedIterator(mockHoodieRecordsIterator, memoryLimitInBytes,
LazyInsertIterable.bufferedItrPayloadTransform(HoodieTestDataGenerator.avroSchema));
Future<Boolean> result2 = recordReader.submit(() -> {
bufferedIterator2.startBuffering();
return true;
});
try {
bufferedIterator2.hasNext();
Assert.fail("exception is expected");
} catch (Exception e1) {
Assert.assertEquals(expectedException, e1.getCause());
}
// buffering thread should also have exited. make sure that it is not running.
try {
result2.get();
Assert.fail("exception is expected");
} catch (ExecutionException e2) {
Assert.assertEquals(expectedException, e2.getCause());
}
}
private boolean isQueueFull(Semaphore rateLimiter) {
return (rateLimiter.availablePermits() == 0 && rateLimiter.hasQueuedThreads());
}
}