flume 对日志监控，和日志数据正则清洗最后实时集中到hbase中的示例
今天学习了flume的简单用法，顺便思考了一下，对标准日志格式的数据实时清洗和集中存储
今天介绍一下运用正则表达式对数据进行实时清洗，将数据存储到hbase中，前面简单的不分列的存储，就直接贴代码
1、运用flume的HBasesink--SimpleHbaseEventSerializer
代码如下
###define agent
a5_hbase.sources = r5
a5_hbase.channels = c5
a5_hbase.sinks = k5
#define sources
a5_hbase.sources.r5.type = exec
a5_hbase.sources.r5.command = tail -f /opt/module/cdh/hive-0.13.1-cdh5.3.6/logs/hive.log
a5_hbase.sources.r5.checkperiodic = 50
#define channels
a5_hbase.channels.c5.type = file
a5_hbase.channels.c5.checkpointDir = /opt/module/cdh/flume-1.5.0-cdh5.3.6/flume_file/checkpoint
a5_hbase.channels.c5.dataDirs = /opt/module/cdh/flume-1.5.0-cdh5.3.6/flume_file/data
#define sinks
a5_hbase.sinks.k5.type = org.apache.flume.sink.hbase.AsyncHBaseSink
a5_hbase.sinks.k5.table = flume_table5
a5_hbase.sinks.k5.columnFamily = hivelog_info
a5_hbase.sinks.k5.serializer = org.apache.flume.sink.hbase.SimpleAsyncHbaseEventSerializer
a5_hbase.sinks.k5.serializer.payloadColumn = hiveinfo
#bind
a5_hbase.sources.r5.channels = c5
a5_hbase.sinks.k5.channel = c5
可以对hive.log的日志更新，存储到hiveinfo这个列中，具体储存的值，可以运行几个hql,看看具体存储的值，以及对value是按照怎样的格式进行取值存储
2、利用RegexHbaseEventSerializer序列化模式，对日志数据进行解析
日志格式如下
抽取其中两条做实验
"27.38.5.159" "-" "31/Aug/2015:00:04:37 +0800" "GET /course/view.php?id=27 HTTP/1.1" "303" "440" - "http://www.ibeifeng.com/user.php?act=mycourse" "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36" "-" "learn.ibeifeng.com"
"27.38.5.159" "-" "31/Aug/2015:00:04:37 +0800" "GET /login/index.php HTTP/1.1" "303" "465" - "http://www.ibeifeng.com/user.php?act=mycourse" "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36" "-" "learn.ibeifeng.com"针对这个日志数据我们正则表达式如下所示
###define agent
a6_hive.sources = r6
a6_hive.channels = c6
a6_hive.sinks = k6
#define sources
a6_hive.sources.r6.type = exec
a6_hive.sources.r6.command = tail -f /opt/module/cdh/hive-0.13.1-cdh5.3.6/logs/hive.log
a6_hive.sources.r6.checkperiodic = 50
#define channels
a6_hive.channels.c6.type = file
a6_hive.channels.c6.checkpointDir = /opt/module/cdh/flume-1.5.0-cdh5.3.6/flume_file/checkpoint
a6_hive.channels.c6.dataDirs = /opt/module/cdh/flume-1.5.0-cdh5.3.6/flume_file/data
#define sinks
a6_hive.sinks.k6.type = org.apache.flume.sink.hbase.HBaseSink
#a6_hive.sinks.k6.type = hbase
a6_hive.sinks.k6.table = flume_table_regx2
a6_hive.sinks.k6.columnFamily = log_info
a6_hive.sinks.k6.serializer = org.apache.flume.sink.hbase.RegexHbaseEventSerializer
a6_hive.sinks.k6.serializer.regex = \\"(.*?)\\"\\ \\"(.*?)\\"\\ \\"(.*?)\\"\\ \\"(.*?)\\"\\ \\"(.*?)\\"\\ \\"(.*?)\\"\\ (.*?)\\ \\"(.*?)\\"\\ \\"(.*?)\\"\\ \\"(.*?)\\"\\ \\"(.*?)\\"
a6_hive.sinks.k6.serializer.colNames = ip,x1,date_now,web,statu1,statu2,user,web2,type,user2,web3
#bind
a6_hive.sources.r6.channels = c6
a6_hive.sinks.k6.channel = c6我们先启动flume的这个agent,打开监控页面
bin/flume-ng agent \
--name a6_hive \
--conf conf \
--conf-file conf/a6_hive.conf \
-Dflume.root.logger=DEBUG,console对hive.log数据进行更新
echo '"27.38.5.159" "-" "31/Aug/2015:00:04:37 +0800" "GET /login/index.php HTTP/1.1" "303" "465" - "http://www.ibeifeng.com/user.php?act=mycourse" "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/31.0.1650.63 Safari/537.36" "-" "learn.ibeifeng.com"' >> /opt/module/cdh/hive-0.13.1-cdh5.3.6/logs/hive.log我们可以看到监控页面的情况，在对数据进行解析
随后我们查看，hbase的表中的数据，如下，可以看到得到的数据是符合我们的要求的，只要在对其中的数据进行函数分析，就可以得到我们想要的结果，这个当然在 hive中完成，可以参考如下
https://blog.csdn.net/maketubu7/article/details/80513072
以上。