尚硅谷大数据技术之Flume(新)第3章 企业开发案例

3.创建flume-flume-dir.conf

配置上级Flume输出的Source,输出是到本地目录的Sink。

创建配置文件并打开

[atguigu@hadoop102 group1]$ touch flume-flume-dir.conf

[atguigu@hadoop102 group1]$ vim flume-flume-dir.conf

添加如下内容

# Name the components on this agent

a3.sources = r1

a3.sinks = k1

a3.channels = c2

 

# Describe/configure the source

a3.sources.r1.type = avro

a3.sources.r1.bind = hadoop102

a3.sources.r1.port = 4142

 

# Describe the sink

a3.sinks.k1.type = file_roll

a3.sinks.k1.sink.directory = /opt/module/datas/flume3

 

# Describe the channel

a3.channels.c2.type = memory

a3.channels.c2.capacity = 1000

a3.channels.c2.transactionCapacity = 100

 

# Bind the source and sink to the channel

a3.sources.r1.channels = c2

a3.sinks.k1.channel = c2

提示:输出的本地目录必须是已经存在的目录,如果该目录不存在,并不会创建新的目录。

4.执行配置文件

分别开启对应配置文件:flume-flume-dir,flume-flume-hdfs,flume-file-flume。

[atguigu@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a3 –conf-file job/group1/flume-flume-dir.conf

 

[atguigu@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a2 –conf-file job/group1/flume-flume-hdfs.conf

 

[atguigu@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a1 –conf-file job/group1/flume-file-flume.conf

5.启动Hadoop和Hive

[atguigu@hadoop102 hadoop-2.7.2]$ sbin/start-dfs.sh

[atguigu@hadoop103 hadoop-2.7.2]$ sbin/start-yarn.sh

 

[atguigu@hadoop102 hive]$ bin/hive

hive (default)>

6.检查HDFS上数据

7检查/opt/module/datas/flume3目录中数据

[atguigu@hadoop102 flume3]$ ll

总用量 8

-rw-rw-r–. 1 atguigu atguigu 5942 5月  22 00:09 1526918887550-3

3.5 单数据源多出口案例(Sink)

单Source、Channel多Sink(负载均衡)如图7-3所示。

1)案例需求:使用Flume-1监控文件变动,Flume-1将变动内容传递给Flume-2,Flume-2负责存储到HDFS。同时Flume-1将变动内容传递给Flume-3,Flume-3也负责存储到HDFS

2)需求分析:

3)实现步骤:

0.准备工作

在/opt/module/flume/job目录下创建group2文件夹

[atguigu@hadoop102 job]$ cd group2/

1.创建flume-netcat-flume.conf

配置1个接收日志文件的source和1个channel、两个sink,分别输送给flume-flume-console1和flume-flume-console2。

创建配置文件并打开

[atguigu@hadoop102 group2]$ touch flume-netcat-flume.conf

[atguigu@hadoop102 group2]$ vim flume-netcat-flume.conf

添加如下内容

# Name the components on this agent

a1.sources = r1

a1.channels = c1

a1.sinkgroups = g1

a1.sinks = k1 k2

 

# Describe/configure the source

a1.sources.r1.type = netcat

a1.sources.r1.bind = localhost

a1.sources.r1.port = 44444

 

a1.sinkgroups.g1.processor.type = load_balance

a1.sinkgroups.g1.processor.backoff = true

a1.sinkgroups.g1.processor.selector = round_robin

a1.sinkgroups.g1.processor.selector.maxTimeOut=10000

 

# Describe the sink

a1.sinks.k1.type = avro

a1.sinks.k1.hostname = hadoop102

a1.sinks.k1.port = 4141

 

a1.sinks.k2.type = avro

a1.sinks.k2.hostname = hadoop102

a1.sinks.k2.port = 4142

 

# Describe the channel

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.sinkgroups.g1.sinks = k1 k2

a1.sinks.k1.channel = c1

a1.sinks.k2.channel = c1

注:Avro是由Hadoop创始人Doug Cutting创建的一种语言无关的数据序列化和RPC框架。

注:RPC(Remote Procedure Call)—远程过程调用,它是一种通过网络从远程计算机程序上请求服务,而不需要了解底层网络技术的协议。

2.创建flume-flume-console1.conf

配置上级Flume输出的Source,输出是到本地控制台。

创建配置文件并打开

[atguigu@hadoop102 group2]$ touch flume-flume-console1.conf

[atguigu@hadoop102 group2]$ vim flume-flume-console1.conf

添加如下内容

# Name the components on this agent

a2.sources = r1

a2.sinks = k1

a2.channels = c1

 

# Describe/configure the source

a2.sources.r1.type = avro

a2.sources.r1.bind = hadoop102

a2.sources.r1.port = 4141

 

# Describe the sink

a2.sinks.k1.type = logger

 

# Describe the channel

a2.channels.c1.type = memory

a2.channels.c1.capacity = 1000

a2.channels.c1.transactionCapacity = 100

 

# Bind the source and sink to the channel

a2.sources.r1.channels = c1

a2.sinks.k1.channel = c1

3.创建flume-flume-console2.conf

配置上级Flume输出的Source,输出是到本地控制台。

创建配置文件并打开

[atguigu@hadoop102 group2]$ touch flume-flume-console2.conf

[atguigu@hadoop102 group2]$ vim flume-flume-console2.conf

添加如下内容

# Name the components on this agent

a3.sources = r1

a3.sinks = k1

a3.channels = c2

 

# Describe/configure the source

a3.sources.r1.type = avro

a3.sources.r1.bind = hadoop102

a3.sources.r1.port = 4142

 

# Describe the sink

a3.sinks.k1.type = logger

 

# Describe the channel

a3.channels.c2.type = memory

a3.channels.c2.capacity = 1000

a3.channels.c2.transactionCapacity = 100

 

# Bind the source and sink to the channel

a3.sources.r1.channels = c2

a3.sinks.k1.channel = c2

4.执行配置文件

分别开启对应配置文件:flume-flume-console2,flume-flume-console1,flume-netcat-flume。

[atguigu@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a3 –conf-file job/group2/flume-flume-console2.conf -Dflume.root.logger=INFO,console

 

[atguigu@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a2 –conf-file job/group2/flume-flume-console1.conf -Dflume.root.logger=INFO,console

 

[atguigu@hadoop102 flume]$ bin/flume-ng agent –conf conf/ –name a1 –conf-file job/group2/flume-netcat-flume.conf

  1. 使用telnet工具向本机的44444端口发送内容

$ telnet localhost 44444

  1. 查看Flume2及Flume3的控制台打印日志

 

 


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