flume 整合 kafka

flume 整合 kafka:
  • flume:高可用的,高可靠的,分布式的海量日志采集、聚合和传输的系统。
  • kafka:分布式的流数据平台。
  • flume 采集业务日志,发送到 kafka
一、安装部署Kafka

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1.0.0 is the latest release. The current stable version is 1.0.0.
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1.0.0

We build for multiple versions of Scala. This only matters if you are using Scala and you want a version built for the same Scala version you use. Otherwise any version should work (2.11 is recommended).
 

1、解压:

2、部署目录:

mv kafka_2.12-1.0.0 /usr/local/kafka2.12

3、启动zookeeper

.... 

4、启动kafka:

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

5、创建topic:

#bin/kafka-topics.sh --create --zookeeper localhost:2181 --partitions 1 --replication-factor 1 --topic test
Created topic "test".

6、查看topic:

# bin/kafka-topics.sh --list --zookeeper localhost:2181
__consumer_offsets
test

7.测试发送数据

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

8.测试消费消息:

#bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic test --from-beginning
 
二、安装部署flume
 
flume下载:

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Apache Flume binary (tar.gz) apache-flume-1.8.0-bin.tar.gz apache-flume-1.8.0-bin.tar.gz.md5 apache-flume-1.8.0-bin.tar.gz.sha1 apache-flume-1.8.0-bin.tar.gz.asc
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1、下载:

2、解压:

tar zxvf apache-flume-1.8.0-bin.tar.gz

3、设置目录:

mv apache-flume-1.8.0-bin /usr/local/flume1.8

4、准备工作:

安装java并设置java环境变量,flume环境变量,在`/etc/profile`中加入
 
export JAVA_HOME=/usr/java/jdk1.8.0_65
export FLUME_HOME=/usr/local/flume1.8
export PATH=$PATH:$JAVA_HOME/bin:$FLUME_HOME
 
执行:source /etc/profile 生效变量

5、建立log采集目录:

/tmp/logs/kafka.log

6、配置

拷贝配置模板:
# cp conf/flume-conf.properties.template conf/flume-conf.properties
# cp conf/flume-env.properties.template conf/flume-env.properties
编辑配置如下:
agent.sources = s1                                                                                                                  
agent.channels = c1                                                                                                                 
agent.sinks = k1                                                                                                                    
                                                                                                                                      
agent.sources.s1.type=exec                                     
#日志采集位置                                                                     
agent.sources.s1.command=tail -F /tmp/logs/kafka.log                                                                                
agent.sources.s1.channels=c1                                                                                                        
agent.channels.c1.type=memory                                                                                                       
agent.channels.c1.capacity=10000                                                                                                    
agent.channels.c1.transactionCapacity=100                                                                                           
                                                                                                                                      
agent.sinks.k1.type= org.apache.flume.sink.kafka.KafkaSink    
#kafka 地址                                                                      
agent.sinks.k1.brokerList=localhost:9092   
#kafka topic                                                                                         
agent.sinks.k1.topic=test                                                                                                      
agent.sinks.k1.serializer.class=kafka.serializer.StringEncoder                                                                      
                                                                                                                                      
agent.sinks.k1.channel=c1
 
功能验证

7、启动服务

# bin/flume-ng agent --conf ./conf/ -f conf/kafka.properties -Dflume.root.logger=DEBUG,console -n agent
运行日志位于logs目录,或者启动时添加-Dflume.root.logger=INFO,console 选项前台启动,输出打印日志,查看具体运行日志,服务异常时查原因。

8、创建测试日志生成:log_producer_test.sh

for((i=0;i<=1000;i++));
do echo "kafka_flume_test-"+$i>>/tmp/logs/kafka.log;
do

9、生成日志:

./log_producer_test.sh
 
观察kafka日志消费情况。。。
原文地址:https://www.cnblogs.com/niejunlei/p/7879657.html