3. 高可用方案

在完成单点的Flume NG搭建后,下面我们搭建一个高可用的Flume NG集群,架构图如下所示:

3.1. 角色分配

Flume的Agent和Collector分布如下表所示:

大数据-Flume高可用方案_hdfs

图中所示,Agent1数据分别流入到Collector1和Collector2,Flume NG本身提供了Failover机制,可以 自动切换和恢复。在上图中,有3个产生日志服务器分布在不同的机房,要把所有的日志都收集到一个集群中存储。下 面我们开发配置Flume NG集群

3.2. Node01 安装和配置

将node03机器上面的flume安装包以及文件生产的两个目录拷贝到node01机器上面去

node03机器执行以下命令

cd /export/servers 
scp -r apache-flume-1.8.0-bin/ node01:$PWD
scp -r shells/ taillogs/ node01:$PWD

node01机器配置agent的配置文件

cd /export/servers/apache-flume-1.8.0-bin/conf 
vim agent.conf
#agent1 name 
agent1.channels = c1
agent1.sources = r1
agent1.sinks = k1 k2
###set gruop
agent1.sinkgroups = g1
#agent1.sources.r1.channels = c1
agent1.sources.r1.type = exec
agent1.sources.r1.command = tail -F /export/servers/taillogs/access_log
###set channel
agent1.channels.c1.type = memory
agent1.channels.c1.capacity = 1000
agent1.channels.c1.transactionCapacity = 100
### set sink1
agent1.sinks.k1.channel = c1
agent1.sinks.k1.type = avro
agent1.sinks.k1.hostname = node02
agent1.sinks.k1.port = 52020
### set sink2
agent1.sinks.k2.channel = c1
agent1.sinks.k2.type = avro
agent1.sinks.k2.hostname = node03
agent1.sinks.k2.port = 52020
###set sink group
agent1.sinkgroups.g1.sinks = k1 k2
###set failover
agent1.sinkgroups.g1.processor.type = failover
agent1.sinkgroups.g1.processor.priority.k1 = 10
agent1.sinkgroups.g1.processor.priority.k2 = 1
agent1.sinkgroups.g1.processor.maxpenalty = 10000

3.3. Node02 与 Node03 配置 FlumeCollection

node02机器修改配置文件

cd /export/servers/apache-flume-1.8.0-bin/conf 
vim collector.conf
#set Agent name 
a1.sources = r1
a1.channels = c1
a1.sinks = k1
###set channel
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
### other node,nna to nns
a1.sources.r1.type = avro
a1.sources.r1.bind = node02
a1.sources.r1.port = 52020
a1.sources.r1.channels = c1
###set sink to hdfs
a1.sinks.k1.type=hdfs
a1.sinks.k1.hdfs.path= hdfs://node01:8020/flume/failover/
a1.sinks.k1.hdfs.fileType=DataStream
a1.sinks.k1.hdfs.writeFormat=TEXT
a1.sinks.k1.hdfs.rollInterval=10
a1.sinks.k1.channel=c1
a1.sinks.k1.hdfs.filePrefix=%Y-%m-%d

node03机器修改配置文件

cd /export/servers/apache-flume-1.8.0-bin/conf 
vim collector.conf
#set Agent name 
a1.sources = r1
a1.channels = c1
a1.sinks = k1
###set channel
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100
### other node,nna to nns
a1.sources.r1.type = avro
a1.sources.r1.bind = node03
a1.sources.r1.port = 52020
a1.sources.r1.channels = c1
###set sink to hdfs
a1.sinks.k1.type=hdfs
a1.sinks.k1.hdfs.path= hdfs://node01:8020/flume/failover/
a1.sinks.k1.hdfs.fileType=DataStream
a1.sinks.k1.hdfs.writeFormat=TEXT
a1.sinks.k1.hdfs.rollInterval=10
a1.sinks.k1.channel=c1
a1.sinks.k1.hdfs.filePrefix=%Y-%m-%d

3.4. 顺序启动

node03机器上面启动

flume cd /export/servers/apache-flume-1.8.0-bin bin/flume-ng agent -n a1 -c conf -f conf/collector.conf -Dflume.root.logger=DEBUG,conso

node02机器上面启动

flume cd /export/servers/apache-flume-1.8.0-bin bin/flume-ng agent -n a1 -c conf -f conf/collector.conf -Dflume.root.logger=DEBUG,conso

node01机器上面启动

flume cd /export/servers/apache-flume-1.8.0-bin bin/flume-ng agent -n agent1 -c conf -f conf/agent.conf -Dflume.root.logger=DEBUG,conso

node01机器启动文件产生脚本

cd /export/servers/shells 
sh tail-file.sh

3.5. Failover 测试

下面我们来测试下Flume NG集群的高可用(故障转移)。场景如下:我们在Agent1节点上传文件,由 于我们配置Collector1的权重比Collector2大,所以 Collector1优先采集并上传到存储系统。然后我们 kill掉Collector1,此时有Collector2负责日志的采集上传工作,之后,我 们手动恢复Collector1节点的 Flume服务,再次在Agent1上次文件,发现Collector1恢复优先级别的采集工作。具体截图如下所 示:

Collector1优先上传

大数据-Flume高可用方案_Flume高可用方案_02

HDFS集群中上传的log内容预览

大数据-Flume高可用方案_大数据_03

Collector1宕机,Collector2获取优先上传权限

大数据-Flume高可用方案_Flume高可用方案_04

重启Collector1服务,Collector1重新获得优先上传的权限