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Kafka integrations component
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/*
* 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.opentable.kafka.client;
import java.util.Iterator;
import java.util.LinkedHashSet;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
import java.util.function.Supplier;
import javax.annotation.concurrent.GuardedBy;
import com.google.common.base.Throwables;
import com.google.common.base.Verify;
import org.apache.kafka.clients.producer.Callback;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
// TODO: this class probably wants to be smarter about thread safety.
// Initial synchronized implementation was observed to hold up fine in Buzzsaw
// at up to at least 80K msg/s but we can do better :)
public final class KafkaMessageSink implements MessageSink {
private static final Logger LOG = LoggerFactory.getLogger(KafkaMessageSink.class);
/** Maximum buffer of futures we will wait for. If this fills, forces a sync flush. */
private static final long OUTSTANDING_PANIC = 1_000_000;
@GuardedBy("this")
private final LinkedHashSet> outstandingSends = new LinkedHashSet<>();
private final Supplier> supplier;
private volatile KafkaProducer producer;
public static KafkaMessageSink of(Supplier> supplier) {
return new KafkaMessageSink<>(supplier);
}
private KafkaMessageSink(Supplier> supplier) {
this.supplier = supplier;
}
@Override
public synchronized void open() {
producer = supplier.get();
}
@Override
public synchronized void close() {
producer.close();
producer = null;
}
/**
* Flush outstanding messages. If we fail to do so, throw an exception
* and {@link #reset()} any other batched but uncommited messages. The caller
* should rewind and retry delivery.
*/
@Override
public synchronized void flush() {
try {
producer.flush();
for (Future f : outstandingSends) {
Verify.verify(f.isDone(), "kafka promised future would be done after flush()");
throwIfFailed(f);
}
} finally {
reset();
}
}
/** Forget any outstanding writes in the current batch. Used when reinitializing after an error. */
@Override
public synchronized void reset() {
outstandingSends.clear();
}
@Override
public void send(String topic, K key, V message, Callback callback) {
final Future result =
producer.send(
new ProducerRecord<>(topic, key, message),
callback);
trackResult(result);
}
private synchronized void trackResult(Future result) {
// Put future at tail
outstandingSends.add(result);
// Trim head of queue -- since delivery is in-order, so should acks
// If somehow we get ack'ed out of order that's okay, next flushSync call will fix it
final Iterator> iter = outstandingSends.iterator();
while (iter.hasNext()) {
Future> head = iter.next();
if (head.isDone()) {
iter.remove();
throwIfFailed(head);
} else {
break;
}
}
int size = outstandingSends.size();
if (size > OUTSTANDING_PANIC) {
// crazy -- did log rates go up? or do we actually have an hours' worth of messages?
LOG.error("{} messages have been queued but not awaited, forcing sync flush", size);
flush();
}
}
/** Throw if a future failed, otherwise discard result. */
private void throwIfFailed(Future> f) {
try {
f.get();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw new RuntimeException(e);
} catch (ExecutionException e) {
Throwables.throwIfUnchecked(e.getCause());
throw new RuntimeException(e);
}
}
}
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