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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负责输出到Local FileSystem。 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group1文件夹

[hadoop@hadoop101 job]$ cd group1/

在/opt/module/data/目录下创建flume3文件夹

[hadoop@hadoop101 datas]$ mkdir flume3

1．创建flume-file-flume.conf

配置1个接收日志文件的source和两个channel、两个sink，分别输送给flume-flume-hdfs和flume-flume-dir。 编辑配置文件

[hadoop@hadoop101 group1]$ vim flume-file-flume.conf

添加如下内容

# Name the components on this agenta1.sources = r1a1.sinks = k1 k2a1.channels = c1 c2# 将数据流复制给所有channela1.sources.r1.selector.type = replicating# Describe/configure the sourcea1.sources.r1.type = execa1.sources.r1.command = tail -F /opt/module/hive/logs/hive.loga1.sources.r1.shell = /bin/bash -c# Describe the sink# sink端的avro是一个数据发送者a1.sinks.k1.type = avroa1.sinks.k1.hostname = hadoop101 a1.sinks.k1.port = 4141a1.sinks.k2.type = avroa1.sinks.k2.hostname = hadoop101a1.sinks.k2.port = 4142# Describe the channela1.channels.c1.type = memorya1.channels.c1.capacity = 10000a1.channels.c1.transactionCapacity = 1000a1.channels.c2.type = memorya1.channels.c2.capacity = 10000a1.channels.c2.transactionCapacity = 1000# Bind the source and sink to the channela1.sources.r1.channels = c1 c2a1.sinks.k1.channel = c1a1.sinks.k2.channel = c2

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。 编辑配置文件

[hadoop@hadoop101 group1]$ vim flume-flume-dir.conf

添加如下内容

# Name the components on this agenta2.sources = r1a2.sinks = k1a2.channels = c1# Describe/configure the source# source端的avro是一个数据接收服务a2.sources.r1.type = avroa2.sources.r1.bind = hadoop101a2.sources.r1.port = 4141# Describe the sinka2.sinks.k1.type = hdfsa2.sinks.k1.hdfs.path = hdfs://hadoop101:9000/flume2/%Y%m%d/%H#上传文件的前缀a2.sinks.k1.hdfs.filePrefix = flume2-#是否按照时间滚动文件夹a2.sinks.k1.hdfs.round = true#多少时间单位创建一个新的文件夹a2.sinks.k1.hdfs.roundValue = 1#重新定义时间单位a2.sinks.k1.hdfs.roundUnit = hour#是否使用本地时间戳a2.sinks.k1.hdfs.useLocalTimeStamp = true#积攒多少个Event才flush到HDFS一次a2.sinks.k1.hdfs.batchSize = 100#设置文件类型，可支持压缩a2.sinks.k1.hdfs.fileType = DataStream#多久生成一个新的文件a2.sinks.k1.hdfs.rollInterval = 600#设置每个文件的滚动大小大概是128Ma2.sinks.k1.hdfs.rollSize = 134217700#文件的滚动与Event数量无关a2.sinks.k1.hdfs.rollCount = 0# Describe the channela2.channels.c1.type = memorya2.channels.c1.capacity = 10000a2.channels.c1.transactionCapacity = 1000# Bind the source and sink to the channela2.sources.r1.channels = c1a2.sinks.k1.channel = c13.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。编辑配置文件[hadoop@hadoop101 group1]$ vim flume-flume-dir.conf添加如下内容# Name the components on this agenta3.sources = r1a3.sinks = k1a3.channels = c2# Describe/configure the sourcea3.sources.r1.type = avroa3.sources.r1.bind = hadoop101a3.sources.r1.port = 4142# Describe the sinka3.sinks.k1.type = file_rolla3.sinks.k1.sink.directory = /opt/module/data/flume3# Describe the channela3.channels.c2.type = memorya3.channels.c2.capacity = 10000a3.channels.c2.transactionCapacity = 1000# Bind the source and sink to the channela3.sources.r1.channels = c2a3.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 分别启动对应的flume进程：flume-flume-dir，flume-flume-hdfs，flume-file-flume。

[hadoop@hadoop101 flume]$ bin/flume-ng agent -c conf/ -n a3 -f job/group1/flume-flume-dir.conf[hadoop@hadoop101 flume]$ bin/flume-ng agent -c conf/ -n a2 -f job/group1/flume-flume-hdfs.conf[hadoop@hadoop101 flume]$ bin/flume-ng agent -c conf/ -n a1 -f job/group1/flume-file-flume.conf

5.启动Hadoop和Hive

[hadoop@hadoop101 hadoop-2.7.2]$ sbin/start-dfs.sh[hadoop@hadoop102 hadoop-2.7.2]$ sbin/start-yarn.sh[hadoop@hadoop101 hive]$ bin/hivehive (default)>

6.检查HDFS上数据

7.检查/opt/module/data/flume3目录中数据

[[hadoop@hadoop101 flume3]$ ll

总用量 64

-rw-rw-r–. 1 hadoop hadoop 0 6月 22 18:53 1592823192120-1 -rw-rw-r–. 1 hadoop hadoop 0 6月 22 18:57 1592823192120