flume 读取kafka 数据
本文介绍flume读取kafka数据的方法代码：
/*******************************************************************************
* 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.flume.source.kafka;
import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import kafka.message.Message;
import kafka.message.MessageAndMetadata;
import org.apache.flume.*;
import org.apache.flume.conf.Configurable;
import org.apache.flume.conf.ConfigurationException;
import org.apache.flume.event.SimpleEvent;
import org.apache.flume.source.AbstractSource;
import org.apache.flume.source.SyslogParser;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* A Source for Kafka which reads messages from kafka. I use this in company production environment
* and its performance is good. Over 100k messages per second can be read from kafka in one source.<p>
* <tt>zookeeper.connect: </tt> the zookeeper ip kafka use.<p>
* <tt>topic: </tt> the topic to read from kafka.<p>
* <tt>group.id: </tt> the groupid of consumer group.<p>
*/
public class KafkaSource extends AbstractSource implements Configurable, PollableSource {
private static final Logger log = LoggerFactory.getLogger(KafkaSource.class);
private ConsumerConnector consumer;
private ConsumerIterator<byte[], byte[]> it;
private String topic;
public Status process() throws EventDeliveryException {
List<Event> eventList = new ArrayList<Event>();
MessageAndMetadata<byte[],byte[]> message;
Event event;
Map<String, String> headers;
String strMessage;
try {
if(it.hasNext()) {
message = it.next();
event = new SimpleEvent();
headers = new HashMap<String, String>();
headers.put("timestamp", String.valueOf(System.currentTimeMillis()));
strMessage =String.valueOf(System.currentTimeMillis()) + "|" + new String(message.message());
log.debug("Message: {}", strMessage);
event.setBody(strMessage.getBytes());
//event.setBody(message.message());
event.setHeaders(headers);
eventList.add(event);
}
getChannelProcessor().processEventBatch(eventList);
return Status.READY;
} catch (Exception e) {
log.error("KafkaSource EXCEPTION, {}", e.getMessage());
return Status.BACKOFF;
}
}
public void configure(Context context) {
topic = context.getString("topic");
if(topic == null) {
throw new ConfigurationException("Kafka topic must be specified.");
}
try {
this.consumer = KafkaSourceUtil.getConsumer(context);
} catch (IOException e) {
log.error("IOException occur, {}", e.getMessage());
} catch (InterruptedException e) {
log.error("InterruptedException occur, {}", e.getMessage());
}
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(topic, new Integer(1));
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);
if(consumerMap == null) {
throw new ConfigurationException("topicCountMap is null");
}
List<KafkaStream<byte[], byte[]>> topicList = consumerMap.get(topic);
if(topicList == null || topicList.isEmpty()) {
throw new ConfigurationException("topicList is null or empty");
}
KafkaStream<byte[], byte[]> stream =topicList.get(0);
it = stream.iterator();
}
@Override
public synchronized void stop() {
consumer.shutdown();
super.stop();
}
}
/*******************************************************************************
* 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.flume.source.kafka;
import java.io.IOException;
import java.util.Map;
import java.util.Properties;
import com.google.common.collect.ImmutableMap;
import kafka.consumer.Consumer;
import kafka.consumer.ConsumerConfig;
import kafka.javaapi.consumer.ConsumerConnector;
import org.apache.flume.Context;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class KafkaSourceUtil {
private static final Logger log = LoggerFactory.getLogger(KafkaSourceUtil.class);
public static Properties getKafkaConfigProperties(Context context) {
log.info("context={}",context.toString());
Properties props = new Properties();
ImmutableMap<String, String> contextMap = context.getParameters();
for (Map.Entry<String,String> entry : contextMap.entrySet()) {
String key = entry.getKey();
if (!key.equals("type") && !key.equals("channel")) {
props.setProperty(entry.getKey(), entry.getValue());
log.info("key={},value={}", entry.getKey(), entry.getValue());
}
}
return props;
}
public static ConsumerConnector getConsumer(Context context) throws IOException, InterruptedException {
ConsumerConfig consumerConfig = new ConsumerConfig(getKafkaConfigProperties(context));
ConsumerConnector consumer = Consumer.createJavaConsumerConnector(consumerConfig);
return consumer;
}
}
配置文件：（ /etc/flume/conf/flume-kafka-file.properties）
agent_log.sources = kafka0
agent_log.channels = ch0
agent_log.sinks = sink0
agent_log.sources.kafka0.channels = ch0
agent_log.sinks.sink0.channel = ch0
agent_log.sources.kafka0.type = org.apache.flume.source.kafka.KafkaSource
agent_log.sources.kafka0.zookeeper.connect = node3:2181,node4:2181,node5:2181
agent_log.sources.kafka0.topic = kkt-test-topic
agent_log.sources.kafka0.group.id= test
agent_log.channels.ch0.type = memory
agent_log.channels.ch0.capacity = 2048
agent_log.channels.ch0.transactionCapacity = 1000
agent_log.sinks.sink0.type=file_roll
agent_log.sinks.sink0.sink.directory=/data/flumeng/data/test
agent_log.sinks.sink0.sink.rollInterval=300
启动脚本：
sudo su-l -s /bin/bashflume-c '/usr/lib/flume/bin/flume-ng agent --conf /etc/flume/conf --conf-file /etc/flume/conf/flume-kafka-file.properties -name agent_log -Dflume.root.logger=INFO,console '
注意： 红色字体的功能是对原来数据加入时间戳
版本 flume-1.4.0.2.1.1.0 + kafka2.8.0-0.8.0
参考资料：https://github.com/baniuyao/flume-kafka
编译用到的库：
flume-ng-configuration-1.4.0.2.1.1.0-385
flume-ng-core-1.4.0.2.1.1.0-385
flume-ng-sdk-1.4.0.2.1.1.0-385
flume-tools-1.4.0.2.1.1.0-385
guava-11.0.2
kafka_2.8.0-0.8.0
log4j-1.2.15
scala-compiler
scala-library
slf4j-api-1.6.1
slf4j-log4j12-1.6.1
zkclient-0.3
zookeeper-3.3.4
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