flume读取日志数据写入kafka

最新推荐文章于 2025-04-25 10:09:47 发布

huguoping830623

最新推荐文章于 2025-04-25 10:09:47 发布

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分类专栏： flume_kafka

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本文详细介绍了如何使用Flume收集日志数据并将其发送至Kafka作为产品，以及通过Java代码实现Kafka消费者进行数据消费的过程。

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一、flume配置

flume要求1.6以上版本

flume-conf.properties文件配置内容，sinks的输出作为kafka的product

a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /home/airib/work/log.log

# Describe the sink
#a1.sinks.k1.type = logger
a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.k1.topic = test
a1.sinks.k1.brokerList = localhost:9092
a1.sinks.k1.requiredAcks = 1
a1.sinks.k1.batchSize = 20

# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

# Bind the source and sink to the channel
a1.sources.r1.channels = c1
a1.sinks.k1.channel = c1

flume启动

bin/flume-ng agent --conf conf --conf-file conf/flume-conf.properties --name a1 -Dflume.root.logger=INFO,console

二 kafka的消费者java源代码

package com.hgp.kafka.kafka;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;

import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import kafka.serializer.StringDecoder;
import kafka.utils.VerifiableProperties;

public class KafkaConsumer {

    private final ConsumerConnector consumer;

    private KafkaConsumer() {
        Properties props = new Properties();
        //zookeeper 配置
        props.put("zookeeper.connect", "localhost:2181");

        //group 代表一个消费组
        props.put("group.id", "jd-group");

        //zk连接超时
        props.put("zookeeper.session.timeout.ms", "4000");
        props.put("zookeeper.sync.time.ms", "200");
        props.put("auto.commit.interval.ms", "1000");
        props.put("auto.offset.reset", "smallest");
        //序列化类
        props.put("serializer.class", "kafka.serializer.StringEncoder");

        ConsumerConfig config = new ConsumerConfig(props);

        consumer = kafka.consumer.Consumer.createJavaConsumerConnector(config);
    }

    void consume() {
        Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
        topicCountMap.put("test", new Integer(1));

        StringDecoder keyDecoder = new StringDecoder(new VerifiableProperties());
        StringDecoder valueDecoder = new StringDecoder(new VerifiableProperties());

        Map<String, List<KafkaStream<String, String>>> consumerMap = 
                consumer.createMessageStreams(topicCountMap,keyDecoder,valueDecoder);
        KafkaStream<String, String> stream = consumerMap.get("test").get(0);
        ConsumerIterator<String, String> it = stream.iterator();
        while (it.hasNext())
            System.out.println(it.next().message());
    }

    public static void main(String[] args) {
        new KafkaConsumer().consume();
    }
}

kafka启动命令

启动Zookeeper server：

bin/zookeeper-server-start.sh config/zookeeper.properties &

启动Kafka server:

bin/kafka-server-start.sh config/server.properties &

运行producer：

bin/kafka-console-producer.sh --broker-list localhost:9092 --topic test

运行consumer：

bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning