大数据之Flume搭建

一、搭建

1、解压

tar -zxf /opt/software/apache-flume-1.9.0-bin.tar.gz -C /opt/module/
mv /opt/module/apache-flume-1.9.0-bin /opt/module/flume

2、删除不兼容包

rm /opt/module/flume/lib/guava-11.0.2.jar

3、测试

1、安装nc

yum install -y nc

2、创建agent配置文件

cd /opt/module/flume/job
vim flume-netcat-logger.conf
# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444

# Describe the sink
a1.sinks.k1.type = logger

# Use a channel which buffers events in memory
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.sinks.k1.channel = c1

3、启动

vi flume.sh
/opt/module/flume/bin/flume-ng agent --conf /opt/module/flume/conf/ --name a1 --conf-file /opt/module/flume/job/flume-netcat-logger.conf -Dflume.root.logger=INFO,console
sh flume.sh

参数说明:

–conf/-c:表示配置文件存储在conf/目录

–name/-n:表示给agent起名为a1

–conf-file/-f:flume本次启动读取的配置文件是在job文件夹下的flume-telnet.conf文件。

-Dflume.root.logger=INFO,console :-D表示flume运行时动态修改flume.root.logger参数属性值,并将控制台日志打印级别设置为INFO级别。日志级别包括:log、info、warn、error。

4、启动nc输入数据

nc localhost 44444

5、检查数据

二、使用

1、Flume数据输出到HDFS

1、flume文本

 vim flume-file-hdfs.conf
# Name the components on this agent
a2.sources = r2
a2.sinks = k2
a2.channels = c2

# Describe/configure the source
a2.sources.r2.type = exec
a2.sources.r2.command = tail -F /opt/module/hive/logs/hive.log

# Describe the sink
a2.sinks.k2.type = hdfs
a2.sinks.k2.hdfs.path = hdfs://bigdata:9820/flume/%Y%m%d/%H
#上传文件的前缀
a2.sinks.k2.hdfs.filePrefix = logs-
#是否按照时间滚动文件夹
a2.sinks.k2.hdfs.round = true
#多少时间单位创建一个新的文件夹
a2.sinks.k2.hdfs.roundValue = 1
#重新定义时间单位
a2.sinks.k2.hdfs.roundUnit = hour
#是否使用本地时间戳
a2.sinks.k2.hdfs.useLocalTimeStamp = true
#积攒多少个Event才flush到HDFS一次
a2.sinks.k2.hdfs.batchSize = 100
#设置文件类型,可支持压缩
a2.sinks.k2.hdfs.fileType = DataStream
#多久生成一个新的文件
a2.sinks.k2.hdfs.rollInterval = 60
#设置每个文件的滚动大小
a2.sinks.k2.hdfs.rollSize = 134217700
#文件的滚动与Event数量无关
a2.sinks.k2.hdfs.rollCount = 0

# Use a channel which buffers events in memory
a2.channels.c2.type = memory
a2.channels.c2.capacity = 1000
a2.channels.c2.transactionCapacity = 100

# Bind the source and sink to the channel
a2.sources.r2.channels = c2
a2.sinks.k2.channel = c2

2、启动脚本

vim  flume-file-hdfs.sh
/opt/module/flume/bin/flume-ng agent --conf /opt/module/flume/conf/ --name a2 --conf-file /opt/module/flume/job/flume-file-hdfs.conf -Dflume.root.logger=INFO,console
sh flume-file-hdfs.sh

3、hdfs页面验证数据

2、Flume监听整个目录的实时追加文件,并上传至HDFS

1、flume文本

vim flume-taildir-hdfs.conf
a3.sources = r3
a3.sinks = k3
a3.channels = c3

# Describe/configure the source
a3.sources.r3.type = TAILDIR
a3.sources.r3.positionFile = /opt/module/flume/tail_dir.json
a3.sources.r3.filegroups = f1 f2
a3.sources.r3.filegroups.f1 = /opt/module/flume/files/.*file.*
a3.sources.r3.filegroups.f2 = /opt/module/flume/files2/.*log.*

# Describe the sink
a3.sinks.k3.type = hdfs
a3.sinks.k3.hdfs.path = hdfs://bigdata:9820/flume/upload2/%Y%m%d/%H
#上传文件的前缀
a3.sinks.k3.hdfs.filePrefix = upload-
#是否按照时间滚动文件夹
a3.sinks.k3.hdfs.round = true
#多少时间单位创建一个新的文件夹
a3.sinks.k3.hdfs.roundValue = 1
#重新定义时间单位
a3.sinks.k3.hdfs.roundUnit = hour
#是否使用本地时间戳
a3.sinks.k3.hdfs.useLocalTimeStamp = true
#积攒多少个Event才flush到HDFS一次
a3.sinks.k3.hdfs.batchSize = 100
#设置文件类型,可支持压缩
a3.sinks.k3.hdfs.fileType = DataStream
#多久生成一个新的文件
a3.sinks.k3.hdfs.rollInterval = 60
#设置每个文件的滚动大小大概是128M
a3.sinks.k3.hdfs.rollSize = 134217700
#文件的滚动与Event数量无关
a3.sinks.k3.hdfs.rollCount = 0

# Use a channel which buffers events in memory
a3.channels.c3.type = memory
a3.channels.c3.capacity = 1000
a3.channels.c3.transactionCapacity = 100

# Bind the source and sink to the channel
a3.sources.r3.channels = c3
a3.sinks.k3.channel = c3

2、启动脚本

vi flume-taildir-hdfs.sh 
/opt/module/flume/bin/flume-ng agent --conf /opt/module/flume/conf/ --name a3 --conf-file /opt/module/flume/job/flume-taildir-hdfs.conf -Dflume.root.logger=INFO,console
sh flume-taildir-hdfs.sh

3、测试验证数据

在/opt/module/flume目录下创建files和files2文件夹

在files下

echo hello >> file1.txt
echo hello >> file2.txt

在files2下

echo hello >> log1.txt
echo hello >> log2.txt

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