kafka LogAndFailExceptionHandler 源码
kafka LogAndFailExceptionHandler 代码
文件路径：/streams/src/main/java/org/apache/kafka/streams/errors/LogAndFailExceptionHandler.java
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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.apache.kafka.streams.errors;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.streams.processor.ProcessorContext;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.Map;
/**
* Deserialization handler that logs a deserialization exception and then
* signals the processing pipeline to stop processing more records and fail.
*/
public class LogAndFailExceptionHandler implements DeserializationExceptionHandler {
private static final Logger log = LoggerFactory.getLogger(LogAndFailExceptionHandler.class);
@Override
public DeserializationHandlerResponse handle(final ProcessorContext context,
final ConsumerRecord<byte[], byte[]> record,
final Exception exception) {
log.error("Exception caught during Deserialization, " +
"taskId: {}, topic: {}, partition: {}, offset: {}",
context.taskId(), record.topic(), record.partition(), record.offset(),
exception);
return DeserializationHandlerResponse.FAIL;
}
@Override
public void configure(final Map<String, ?> configs) {
// ignore
}
}
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