Apache Flume 安装文档、日志收集
简介：官网 http://flume.apache.org
文档 https://flume.apache.org/FlumeUserGuide.html
hadoop 生态系统中，flume 的职责是收集数据，一般用作收集各种日志数据。
Source -> Channel -> Sink 这是一个基本的工作流程。
Source 定义了数据从哪里来，Channel 是一个数据暂存的位置 ( disk / mem )，Sink 定义将数据流向哪里！
一、flume 安装
shell > yum -y install jdk1.8.0_111# java 环境必不可少
shell
> java -version
java version
"1.8.0_111"
Java(TM) SE Runtime Environment (build
1.8.0_111-b14)
Java HotSpot(TM)
64-Bit Server VM (build 25.111-b14, mixed mode)
shell
> cd /usr/local/src
shell
> wget http://www.apache.org/dyn/closer.lua/flume/1.7.0/apache-flume-1.7.0-bin.tar.gz
shell > tar zxf apache-flume-1.7.0-bin.tar.gz -C /usr/local
二、httpd ( 模拟一个日志源 )
shell > yum -y install httpd
shell
> /etc/init.d/httpd start
三、flume 基本配置
1、修改 flume 环境变量配置文件
shell > cd /usr/local/apache-flume-1.7.0-bin
shell
> cp conf/flume-env.sh.template conf/flume-env.sh
shell
> vim conf/flume-env.sh
# 定义 JAVA_HOME
export JAVA_HOME
=/usr/java/default
2、修改 flume 配置文件
shell > vim conf/flume-conf.properties
# 定义 sources、channels、sinks
flumeAgent.sources
= r_log
flumeAgent.channels
= c_memory
flumeAgent.sinks
= s_logger
# Source
flumeAgent.sources.r_log.type
= exec
flumeAgent.sources.r_log.channels
= c_memory
flumeAgent.sources.r_log.command
= tail -F /var/log/httpd/access_log
# Channel
flumeAgent.channels.c_memory.type
= memory
flumeAgent.channels.c_memory.capacity
= 1000
flumeAgent.channels.c_memory.transactionCapacity
= 100
# Sink
flumeAgent.sinks.s_logger.type
= logger
flumeAgent.sinks.s_logger.channel
= c_memory
# 这是一个测试的配置文件，flume 监听 access_log 并输出到 logger
# flumeAgent.channels.c_memory.capacityChannel 存储事件的最大数
# flumeAgent.channels.c_memory.transactionCapacity从 Source 到 Sink每传输事物中的最大事件数
四、flume 启动
shell > sh bin/flume-ng agent -c conf -f conf/flume-conf.properties -n flumeAgent -Dflume.root.logger=INFO,console
# 启动一个 agent，
-c 指定配置文件目录，-f 指定配置文件，-n 指定 agent 名称，-D 指定日志级别、输出位置
# 当 access_log 有新记录时，就会有事件输出到终端
五、flume 收集日志写入 hdfs
shell > cd /usr/local/apache-flume-1.7.0-bin
shell
> vim conf/flume-conf.properties
# 定义 sources、channels、sinks
flumeAgent.sources
= r_log
flumeAgent.channels
= c_file
flumeAgent.sinks
= s_hdfs
# Source
flumeAgent.sources.r_log.type
= taildir
flumeAgent.sources.r_log.channels
= c_file
flumeAgent.sources.r_log.filegroups
= f1
flumeAgent.sources.r_log.filegroups.f1
= /var/log/httpd/access_log
flumeAgent.sources.r_log.positionFile
= /data/flume/taildir_position_log.json
flumeAgent.sources.r_log.skipToEnd
= true
# Channel
flumeAgent.channels.c_file.type
= file
flumeAgent.channels.c_file.checkpointDir
= /data/flume/check
flumeAgent.channels.c_file.useDualCheckpoints
= true
flumeAgent.channels.c_file.backupCheckpointDir
= /data/flume/backup
flumeAgent.channels.c_file.dataDirs
= /data/flume/data
flumeAgent.channels.c_file.keep
-alive = 10
flumeAgent.channels.c_file.
write-timeout = 10
# Sink
flumeAgent.sinks.s_hdfs.type
= hdfs
flumeAgent.sinks.s_hdfs.channel
= c_file
flumeAgent.sinks.s_hdfs.hdfs.path
= hdfs://master.hadoop/webroot/logs
flumeAgent.sinks.s_hdfs.hdfs.filePrefix = api
flumeAgent.sinks.s_hdfs.hdfs.rollInterval = 0
flumeAgent.sinks.s_hdfs.hdfs.rollSize = 0
flumeAgent.sinks.s_hdfs.hdfs.rollCount = 0
flumeAgent.sinks.s_hdfs.hdfs.batchSize = 500
flumeAgent.sinks.s_hdfs.hdfs.fileType = DataStream
flumeAgent.sinks.s_hdfs.hdfs.writeFormat = Text
flumeAgent.sinks.s_hdfs.hdfs.threadsPoolSize = 10
flumeAgent.sinks.s_hdfs.hdfs.round = true
flumeAgent.sinks.s_hdfs.hdfs.roundValue = 24
flumeAgent.sinks.s_hfds.hdfs.roundUnit = hour
flumeAgent.sinks.s_hdfs.hdfs.useLocalTimeStamp = true
# 注意：上述配置文件中涉及到的所有目录都会自动生成，不需要手动创建 ( 当然也可以手动创建 )
shell > sh bin/flume-ng agent -c conf -f conf/flume-conf.properties -n flumeAgent -Dflume.root.logger=INFO,console
# 启动 Agent
shell > tree /data/flume
/data/flume
├── backup
│ ├── backupComplete
│ ├── checkpoint
│ ├── checkpoint.meta
│ ├── inflightputs
│ └── inflighttakes
├── check
│ ├── checkpoint
│ ├── checkpoint.meta
│ ├── inflightputs
│ ├── inflighttakes
│ └── queueset
├── data
│ ├── log
-1
│ ├── log
-1.meta
│ ├── log
-2
│ └── log
-2.meta
└── taildir_position_log.json
# 这便是配置中的所需目录及文件
shell > su - hadoop
hadoop shell
> hdfs dfs -ls /webroot/logs
-rw-r--r-- 3 root supergroup 73322 2017-04-21 19:02 /webroot/logs/api.1492772551751.tmp
hadoop shell
> hdfs dfs -tail -f /webroot/logs/api.1492772551751.tmp
192.168.1.246 - - "GET /icons/apache_pb.gif HTTP/1.1" 304 - "http://192.168.1.25/" "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.221 Safari/537.36 SE 2.X MetaSr 1.0"
192.168.1.246 - - "GET /icons/poweredby.png HTTP/1.1" 304 - "http://192.168.1.25/" "Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.221 Safari/537.36 SE 2.X MetaSr 1.0"
# 可以看到数据正被写入 hdfs ( 注意：是从日志文件头部读取 )
报错管理：
1、hdfs 权限拒绝
2017-04-21 18:24:59,939 (SinkRunner-PollingRunner-DefaultSinkProcessor) HDFS IO error
org.apache.hadoop.security.AccessControlException: Permission denied: user
=root, access=WRITE, inode="/webroot/logs":hadoop:supergroup:drwxr-xr-x at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:
310) at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:
219) at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:
189) at org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:
1654) at org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:
1638) at org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkAncestorAccess(FSDirectory.java:
1597) at org.apache.hadoop.hdfs.server.namenode.FSDirWriteFileOp.resolvePathForStartFile(FSDirWriteFileOp.java:
293) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFileInt(FSNamesystem.java:
2211) at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.startFile(FSNamesystem.java:
2154) at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.create(NameNodeRpcServer.java:
727) at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.create(ClientNamenodeProtocolServerSideTranslatorPB.java:
409)
解决方法：
shell > su - hadoop
hadoop shell
> vim /usr/local/hadoop-2.8.0/etc/hadoop/hdfs-site.xml
<property> <name>dfs.permissions.enabled</name>
<value>false</value>
</property>
# 暂时关闭了权限验证，还没找到更好的方法 ( 开放 hdfs / 权限，跟关闭权限验证没啥区别 )
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