flume---高级配置5种



1-01  //以varo 形式接收的数据

1)Replicating Channel Selector
Flume支持Fan out流从一个源到多个通道。有两种模式的Fan out，分别是复制和复用。在复制的情况下，流的事件被发送到所有的配置通道。
在复用的情况下，事件被发送到可用的渠道中的一个子集。Fan out流需要指定源和Fan out通道的规则。
这次我们需要用到master,slave1两台机器。


//将数据发送给两台机器  05 机 将数据发送给06和04机器
*******************************************************************************
vim  05机

[root@linux05 conf]# vim replicate.conf

//将下面数据放入

a1.sources = r1
a1.channels = c1 c2
a1.sinks = k1 k2

# Describe/configure the source
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir=/flime

a1.sources.r1.channels = c1 c2
a1.sources.r1.selector.type = replicating

# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = linux04
a1.sinks.k1.port = 5555

a1.sinks.k2.type = avro
a1.sinks.k2.channel = c2
a1.sinks.k2.hostname = linux06
a1.sinks.k2.port = 5555

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

a1.channels.c2.type = memory
a1.channels.c2.capacity = 1000
a1.channels.c2.transactionCapacity = 100

********************************************************************************
//05配置好以后 
配置04和06的  vim avro.conf  
//在04和06机器 启动

vim 06机器
****************************

[root@linux06 conf]# vim avro.conf

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

a1.sources.r1.type=avro
a1.sources.r1.bind=linux06
a1.sources.r1.port=5555

a1.sinks.k1.type=logger

a1.channels.c1.type=memory
a1.channels.c1.capacity=1000
a1.channels.c1.tranactionCapacity=100

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

//配置好以后

//输入启动命令

[root@linux04 conf]# flume-ng agent -c . -f avro.conf -n a1 -Dflume.root.logger=info,console

*********************************************************

//分发到第一台机器中

[root@linux06 Downloads]# scp -r apache-flume-1.6.0-bin root@linux04:`pwd`

//安装成以后

[root@linux04 apache-flume-1.6.0-bin]# cd conf

**************************

//将下面内容放入

[root@linux04 conf]# vim avro.conf

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

a1.sources.r1.type=avro
a1.sources.r1.bind=linux04
a1.sources.r1.port=5555

a1.sinks.k1.type=logger

a1.channels.c1.type=memory
a1.channels.c1.capacity=1000
a1.channels.c1.tranactionCapacity=100

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

*****************************************

//配置好以后

//输入启动命令

[root@linux04 conf]# flume-ng agent -c . -f avro.conf -n a1 -Dflume.root.logger=info,console

========================================================================================================================
//两台都启动好以后  注意：检查两台必须都启动
//将05机器 也启动

flume-ng agent -c . -f replicate.conf -n a1 -Dflume.root.logger=info,console

1-02 //以varo 形式接收的数据

[root@linux05 conf]# vim replicate1.conf

//将下面的文件放入

a1.sources = r1
a1.channels = c1 c2
a1.sinks = k1 k2

# Describe/configure the source
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir=/flime

a1.sources.r1.channels = c1 c2
a1.sources.r1.selector.type = replicating

# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = linux04
a1.sinks.k1.port = 5555

a1.sinks.k2.type=logger
a1.sinks.k2.channel = c2
# Use a channel which buffers events in memory
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

a1.channels.c2.type = memory
a1.channels.c2.capacity = 1000
a1.channels.c2.transactionCapacity = 100

**********************************************************************************
//执行命令

[root@linux05 conf]# flume-ng agent -c . -f replicate1.conf -n a1 -Dflume.root.logger=info,console

//

[root@linux05 /]# mkdir flime
[root@linux05 /]# cd /flime/
[root@linux05 flime]# echo "ccccccc ">>a1.txt
[root@linux05 flime]#

//看下面图监控

2. http 进行分类接收数据

将数据分类 multiplexing

将一个source端采集的数据给两个channel

根据header 头

不是副本形式是header头是那个给那个

vim complex.conf

//将下面配置放入

a1.sources = s1
a1.channels = c1 c2
a1.sinks = k1 k2

# For each one of the sources, the type is defined
a1.sources.s1.type = org.apache.flume.source.http.HTTPSource
a1.sources.s1.port = 8887
a1.sources.s1.channels = c1 c2
a1.sources.s1.selector.type = multiplexing

a1.sources.s1.selector.header = company
a1.sources.s1.selector.mapping.ali = c1
a1.sources.s1.selector.mapping.baidu = c2
a1.sources.s1.selector.default = c2

# Each sink's type must be defined
a1.sinks.k1.type = avro
a1.sinks.k1.hostname = linux04
a1.sinks.k1.port = 5555
a1.sinks.k1.channel = c1

a1.sinks.k2.type = avro
a1.sinks.k2.hostname = linux06
a1.sinks.k2.port = 5555
a1.sinks.k2.channel = c2

# Each channel's type is defined.
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

a1.channels.c2.type = memory
a1.channels.c2.capacity = 1000
a1.channels.c2.transactionCapacity = 100

//将其他两台机器都开启  
否则连接不上

//输入命令

[root@linux05 conf]# flume-ng agent -c . -f complex.conf -n a1 -Dflume.root.logger=info,console


//启动成功后 用java测试

package com.bw.tcp;

import java.io.BufferedOutputStream;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.io.PrintWriter;
import java.net.HttpURLConnection;
import java.net.InetSocketAddress;
import java.net.Socket;
import java.net.SocketAddress;
import java.net.URL;
import java.util.Date;

public class TcpTest {
    public static void main(String[] args) throws Exception {
        sendData();
    }

    public static void sendData() {
        try {
            URL url = new URL("http://linux05:8887");
            HttpURLConnection connection = (HttpURLConnection) url.openConnection();

            connection.setDoInput(true); // 设置可输入
            connection.setDoOutput(true); // 设置该连接是可以输出的
            connection.setRequestMethod("POST"); // 设置请求方式
            connection.setRequestProperty("Content-Type", "application/json;charset=UTF-8");

            PrintWriter pw = new PrintWriter(new BufferedOutputStream(connection.getOutputStream()));
            pw.write("[{ \"headers\" :{\"company\" : \"baidu\"},\"body\" : \"idoall_TEST1\"}]"); 
            pw.flush();                              //这里改百度 就是百度监控到了
            pw.close();                              //这里改阿里   就是另一台机器

            BufferedReader br = new BufferedReader(new InputStreamReader(connection.getInputStream(), "utf-8"));
            String line = null;
            StringBuilder result = new StringBuilder();
            while ((line = br.readLine()) != null) { // 读取数据
                result.append(line + "\n");
            }
            connection.disconnect();

            System.out.println(result.toString());
        } catch (Exception e) {
            e.printStackTrace();
        }

    }

}

一个failover给两台failover 默认只给一台当这台挂了给另一台不会坏高可靠性

[root@linux05 conf]# vim failover.conf

a1.sources = r1
a1.channels = c1 c2
a1.sinks = k1 k2

# Describe/configure the source
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir=/flime

a1.sources.r1.channels = c1 c2
a1.sources.r1.selector.type = replicating

# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sources = r1
a1.channels = c1 c2
a1.sinks = k1 k2

# Describe/configure the source
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir=/flime

a1.sources.r1.channels = c1 c2
a1.sources.r1.selector.type = replicating

# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sources = r1
a1.channels = c1 c2
a1.sinks = k1 k2

# Describe/configure the source
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir=/flime

a1.sources.r1.channels = c1 c2
a1.sources.r1.selector.type = replicating

# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sources = r1
a1.channels = c1 c2
a1.sinks = k1 k2

# Describe/configure the source
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir=/flime

a1.sources.r1.channels = c1 c2
a1.sources.r1.selector.type = replicating

# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = linux04
a1.sinks.k1.port = 5555


#这个是配置failover的关键，需要有一个sink group
a1.sinkgroups = g1
a1.sinkgroups.g1.sinks = k1 k2
##处理的类型是failover
a1.sinkgroups.g1.processor.type = failover
##优先级，数字越大优先级越高，每个sink的优先级必须不相同
a1.sinkgroups.g1.processor.priority.k1 = 5
a1.sinkgroups.g1.processor.priority.k2 = 10
##设置为10秒，当然可以根据你的实际状况更改成更快或者很慢
a1.sinkgroups.g1.processor.maxpenalty = 10000

a1.sinks.k2.type = avro
a1.sinks.k2.channel = c2
a1.sinks.k2.hostname = linux06
a1.sinks.k2.port = 5555

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

a1.channels.c2.type = memory
a1.channels.c2.capacity = 1000
a1.channels.c2.transactionCapacity = 100
**********************************************************************

//将前面两台机器启动
//输入命令

[root@linux05 conf]# flume-ng agent -c . -f failover.conf -n a1 -Dflume.root.logger=info,console







//监控文件夹
//查看监控

//默认给了06机器他的优先级高

//要是报错了就说明宕机了就给了另一台机器

5. 负载均衡也是两个sinks端组成一个组一个source 给一个channel 一个channel给两个sinks

[root@linux05 conf]# vim loadbalance.conf

a1.sources = r1
a1.channels = c1 
a1.sinks = k1 k2

# Describe/configure the source
a1.sources.r1.type = spooldir
a1.sources.r1.spoolDir=/flime

a1.sources.r1.channels = c1

# Describe the sink
a1.sinks.k1.type = avro
a1.sinks.k1.channel = c1
a1.sinks.k1.hostname = linux04
a1.sinks.k1.port = 5555

#这个是配置Load balancing的关键，需要有一个sink group
a1.sinkgroups = g1
a1.sinkgroups.g1.sinks = k1 k2
a1.sinkgroups.g1.processor.type = load_balance
a1.sinkgroups.g1.processor.backoff = true
a1.sinkgroups.g1.processor.selector = round_robin


a1.sinks.k2.type = avro
a1.sinks.k2.channel = c1
a1.sinks.k2.hostname = linux06
a1.sinks.k2.port = 5555

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

a1.channels.c2.type = memory
a1.channels.c2.capacity = 1000
a1.channels.c2.transactionCapacity = 100

***************************************************************
//先将别的两台启动 否则会报错
//在将05启动
[root@linux05 conf]# flume-ng agent -c . -f loadbalance.conf -n a1 -Dflume.root.logger=info,console

//三台都启动以后

//输入命令

posted @ 2019-05-15 11:10 lilixia 阅读(422) 评论(0) 编辑收藏举报

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flume---高级配置5种

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