單資料來源多出口案例(Sink 組)

單 Source、Channel 多 Sink(負載均衡)如圖 7-3 所示。

圖 7-3 單 Source、Channel 多 Sink 1）案例需求：使用 Flume-1 監控檔案變動，Flume-1 將變動內容傳遞給 Flume-2，Flume-2負責儲存到 HDFS。同時 Flume-1 將變動內容傳遞給 Flume-3，Flume-3 也負責儲存到 HDFS 2）需求分析： 3）實現步驟： 0．準備工作 在/opt/module/flume/job 目錄下建立 group2 資料夾

[atguigu@hadoop102 job]$ cd group2/

1．建立 flume-netcat-flume.conf 配 置 1 個接收 日 志 文 件 的 source 和 1 個 channel、 兩 個 sink ， 分 別 輸 送 給flume-flume-console1 和 flume-flume-console2。 建立配置檔案並開啟

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

新增如下內容

# 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 創始人 Doug Cutting 建立的一種語言無關的資料序列化和 RPC 框架。 注：RPC（Remote Procedure Call）—遠端過程呼叫，它是一種通過網路從遠端計算機程式上請求服務，而不需要了解底層網路技術的協議。 2．建立 flume-flume-console1.conf 配置上級 Flume 輸出的 Source，輸出是到本地控制檯。 建立配置檔案並開啟

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

新增如下內容

# 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．建立 flume-flume-console2.conf 配置上級 Flume 輸出的 Source，輸出是到本地控制檯。 建立配置檔案並開啟

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

新增如下內容

# 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．執行配置檔案 分別開啟對應配置檔案：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

5. 使用 telnet 工具向本機的 44444 埠傳送內容

$ telnet localhost 44444

6. 檢視 Flume2 及 Flume3 的控制檯列印日誌