spring-kafka FallbackBatchErrorHandler 源码
spring-kafka FallbackBatchErrorHandler 代码
文件路径:/spring-kafka/src/main/java/org/springframework/kafka/listener/FallbackBatchErrorHandler.java
/*
* Copyright 2020-2022 the original author or authors.
*
* 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
*
* https://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 org.springframework.kafka.listener;
import java.util.Collection;
import java.util.function.BiConsumer;
import org.apache.commons.logging.LogFactory;
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.common.TopicPartition;
import org.springframework.core.log.LogAccessor;
import org.springframework.lang.Nullable;
import org.springframework.util.backoff.BackOff;
import org.springframework.util.backoff.FixedBackOff;
/**
* A batch error handler that invokes the listener according to the supplied
* {@link BackOff}. The consumer is paused/polled/resumed before each retry in order to
* avoid a rebalance. If/when retries are exhausted, the provided
* {@link ConsumerRecordRecoverer} is invoked for each record in the batch. If the
* recoverer throws an exception, or the thread is interrupted while sleeping, seeks are
* performed so that the batch will be redelivered on the next poll.
*
* @author Gary Russell
* @since 2.3.7
*
*/
@SuppressWarnings("deprecation")
class FallbackBatchErrorHandler extends KafkaExceptionLogLevelAware
implements ListenerInvokingBatchErrorHandler {
private final LogAccessor logger = new LogAccessor(LogFactory.getLog(getClass()));
private final BackOff backOff;
private final BiConsumer<ConsumerRecords<?, ?>, Exception> recoverer;
@SuppressWarnings("deprecation")
private final CommonErrorHandler seeker = new ErrorHandlerAdapter(new SeekToCurrentBatchErrorHandler());
private boolean ackAfterHandle = true;
private boolean retrying;
/**
* Construct an instance with a default {@link FixedBackOff} (unlimited attempts with
* a 5 second back off).
*/
FallbackBatchErrorHandler() {
this(new FixedBackOff(), null);
}
/**
* Construct an instance with the provided {@link BackOff} and
* {@link ConsumerRecordRecoverer}. If the recoverer is {@code null}, the discarded
* records (topic-partition{@literal @}offset) will be logged.
* @param backOff the back off.
* @param recoverer the recoverer.
*/
FallbackBatchErrorHandler(BackOff backOff, @Nullable ConsumerRecordRecoverer recoverer) {
this.backOff = backOff;
this.recoverer = (crs, ex) -> {
if (recoverer == null) {
this.logger.error(ex, () -> "Records discarded: " + ErrorHandlingUtils.recordsToString(crs));
}
else {
crs.spliterator().forEachRemaining(rec -> recoverer.accept(rec, ex));
}
};
}
@Override
public boolean isAckAfterHandle() {
return this.ackAfterHandle;
}
@Override
public void setAckAfterHandle(boolean ackAfterHandle) {
this.ackAfterHandle = ackAfterHandle;
}
@Override
public void handle(Exception thrownException, @Nullable ConsumerRecords<?, ?> records,
Consumer<?, ?> consumer, MessageListenerContainer container, Runnable invokeListener) {
if (records == null || records.count() == 0) {
this.logger.error(thrownException, "Called with no records; consumer exception");
return;
}
this.retrying = true;
ErrorHandlingUtils.retryBatch(thrownException, records, consumer, container, invokeListener, this.backOff,
this.seeker, this.recoverer, this.logger, getLogLevel());
this.retrying = false;
}
public void onPartitionsAssigned(Consumer<?, ?> consumer, Collection<TopicPartition> partitions) {
if (this.retrying) {
consumer.pause(consumer.assignment());
}
}
}
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