Umengday07-flume、kafka与hdfs日志流转

flume、kafka与hdfs日志流转

版权声明：原创作品，谢绝转载！否则将追究法律责任。个人学习工作中的一些笔记和Demo，后期会继续补充和完善. 作者：Steven(丁振春)

学习六重：重目标，重思路，重方法，重实践，重习惯，重总结。

1、启动kafka集群

$>xkafka.sh start

3、创建kafka主题

kafka-topics.sh --zookeeper s102:2181 
				--create 
				--topic topic-umeng-raw-logs2
				--replication-factor 3 
				--partitions 4

注意：kafka主题不要使用“_”，可以使用“-”。

4、配置flume，收集日志到kafka

在nginx web服务器节点（这里是s101和s102）上安装flume软件，编写配置文件。

在/soft/flume/conf下创建umeng_nginx_to_kafka.conf文件，内容如下：

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

a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /usr/local/openresty/nginx/logs/access.log

a1.channels.c1.type = memory
a1.channels.c1.capacity = 10000

a1.sinks.k1.type = org.apache.flume.sink.kafka.KafkaSink
a1.sinks.k1.kafka.topic = topic-umeng-raw-logs2
a1.sinks.k1.kafka.bootstrap.servers = s102:9092
a1.sinks.k1.kafka.flumeBatchSize = 20
a1.sinks.k1.kafka.producer.acks = 1
a1.sinks.k1.kafka.producer.linger.ms = 0

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

5、启动flume进程

$>flume-ng agent -f /soft/flume/conf/umeng_nginx_to_kafka.conf -n a1

6、启动kafka控制条消费者，查看是否能够接收到日志

$>kafka-console-consumer.sh --zookeeper s102:2181 --topic topic-umeng-raw-logs2

7、配置flume，收集kafka消息到hdfs

创建/soft/flume/conf/umeng-kakfa-to-hdfs.conf文件，内容如下：

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

a1.sources.r1.type = org.apache.flume.source.kafka.KafkaSource
a1.sources.r1.batchSize = 5000
a1.sources.r1.batchDurationMillis = 2000
a1.sources.r1.kafka.bootstrap.servers = s102:9092
a1.sources.r1.kafka.topics = topic-umeng-raw-logs2
a1.sources.r1.kafka.consumer.group.id = g10

a1.channels.c1.type=memory

a1.sinks.k1.type = hdfs
a1.sinks.k1.hdfs.path = /user/centos/umeng_big11/raw-logs/%Y%m/%d/%H%M
a1.sinks.k1.hdfs.filePrefix = events-
#round控制目录
a1.sinks.k1.hdfs.round = true
a1.sinks.k1.hdfs.roundValue = 1
a1.sinks.k1.hdfs.roundUnit = minute
#控制文件
a1.sinks.k1.hdfs.rollInterval = 30
a1.sinks.k1.hdfs.rollSize = 10240
a1.sinks.k1.hdfs.rollCount = 500
a1.sinks.k1.hdfs.useLocalTimeStamp = true
a1.sinks.k1.hdfs.fileType = DataStream

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

8、启动flume进程，收集kafka消息到hdfs

8.1 启动hdfs集群

$>start-dfs.sh

8.2 启动flume，指定收集文件

$>flume-ng agent -f /soft/flume/conf/umeng-kafka-to-hdfs.conf -n a1

9、启动手机端程序发送日志，观察kafka是否接收到