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/*
 * Copyright 2018 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
 *
 *      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 org.springframework.kafka.listener;

import java.util.HashSet;
import java.util.List;
import java.util.Set;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.common.TopicPartition;

/**
 * Default implementation of {@link AfterRollbackProcessor}. Seeks all
 * topic/partitions so the records will be re-fetched, including the failed
 * record.
 *
 * @param  the key type.
 * @param  the value type.
 *
 * @author Gary Russell
 * @author Artem Bilan
 *
 * @since 1.3.5
 *
 */
public class DefaultAfterRollbackProcessor implements AfterRollbackProcessor {

	private static final Log logger = LogFactory.getLog(DefaultAfterRollbackProcessor.class);

	@Override
	public void process(List> records, Consumer consumer) {
		Set seekOffsets = new HashSet<>();
		for (ConsumerRecord record : records) {
			TopicPartition topicPartition = new TopicPartition(record.topic(), record.partition());
			if (seekOffsets.add(topicPartition)) {
				try {
					consumer.seek(topicPartition, record.offset());
				}
				catch (Exception e) {
					logger.error("Failed to seek " + topicPartition + " to " + record.offset());
				}
			}
		}
	}

}




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