大數據-Flume採集文件到HDFS

2.2. 採集案例

2.2.4. 採集文件到HDFS

需求
好比業務系統使用log4j生成的日誌，日誌內容不斷增長，須要把追加到日誌文件中的數據實時採集到 hdfs

分析
根據需求，首先定義如下3大要素

• 採集源，即source——監控文件內容更新 : exec ‘tail -F file’
• 下沉目標，即sink——HDFS文件系統 : hdfs sink
• Source和sink之間的傳遞通道——channel，可用file channel 也能夠用 內存channel

Step 1: 定義 Flume 配置文件

cd /export/servers/apache-flume-1.8.0-bin/conf 
vim tail-file.conf

agent1.sources = source1 
agent1.sinks = sink1 
agent1.channels = channel1 
# Describe/configure tail -F source1 
agent1.sources.source1.type = exec 
agent1.sources.source1.command = tail -F /export/servers/taillogs/access_log 
agent1.sources.source1.channels = channel1 
# Describe sink1 
agent1.sinks.sink1.type = hdfs 
#a1.sinks.k1.channel = c1 
agent1.sinks.sink1.hdfs.path = hdfs://node01:8020/weblog/flume-collection/%y-%m-%d/%H-% 
agent1.sinks.sink1.hdfs.filePrefix = access_log 
agent1.sinks.sink1.hdfs.maxOpenFiles = 5000 
agent1.sinks.sink1.hdfs.batchSize= 100 
agent1.sinks.sink1.hdfs.fileType = DataStream 
agent1.sinks.sink1.hdfs.writeFormat =Text 
agent1.sinks.sink1.hdfs.round = true 
agent1.sinks.sink1.hdfs.roundValue = 10 
agent1.sinks.sink1.hdfs.roundUnit = minute 
agent1.sinks.sink1.hdfs.useLocalTimeStamp = true 
# Use a channel which buffers events in memory 
agent1.channels.channel1.type = memory 
agent1.channels.channel1.keep-alive = 120 
agent1.channels.channel1.capacity = 500000 
agent1.channels.channel1.transactionCapacity = 600 
# Bind the source and sink to the channel 
agent1.sources.source1.channels = channel1 
agent1.sinks.sink1.channel = channel1

Step 2: 啓動 Flume

cd /export/servers/apache-flume-1.6.0-cdh5.14.0-bin bin/flume-ng agent -c conf -f conf/tail-file.conf -n agent1

Step 3: 開發 Shell 腳本定時追加文件內容

mkdir -p /export/servers/shells/ 
cd /export/servers/shells/ 
vim tail-file.sh

#!/bin/bash 
while true dodate >> /export/servers/taillogs/access_log; sleep 0.5; done

Step 4: 啓動腳本

# 建立文件夾 
mkdir -p /export/servers/taillogs 
# 啓動腳本 
sh /export/servers/shells/tail-file.sh

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