网站建设时怎么赚钱的,深圳app制作公司,代理公司注册的价格,网站后台如何做下载连接1 日志服务器上配置Flume,采集本地日志文件#xff0c;发送到172.19.115.96 的flume上进行聚合#xff0c;如日志服务器有多组#xff0c;则在多台服务器上配置相同的配置
# Name the components on this agent
a1.sources r1
a1.sinks k1
a1.channels c1# Describe/con…1 日志服务器上配置Flume,采集本地日志文件发送到172.19.115.96 的flume上进行聚合如日志服务器有多组则在多台服务器上配置相同的配置
# Name the components on this agent
a1.sources r1
a1.sinks k1
a1.channels c1# Describe/configure the source
a1.sources.r1.type TAILDIR
a1.sources.r1.filegroups f1
#通配符是以.*为标识的如采集所有文件则.*,此处表示采集.log结尾的文件
a1.sources.r1.filegroups.f1 /home/admin/app/api/logs/.*log
#a1.sources.r1.filegroups f1 f2
#a1.sources.r1.filegroups.f2 /usr/local/flume-1.9.0/files2/.*
a1.sources.r1.positionFile /usr/local/flume-1.9.0/taildir_position.json# Describe the sink
a1.sinks.k1.type avro
a1.sinks.k1.hostname 172.19.115.96
a1.sinks.k1.port 4141# Use a channel which buffers events in memory
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.sinks.k1.channel c1
2 hdfs服务器上配置flume
# Name the components on this agent
a1.sources r1
a1.sinks k1
a1.channels c1# Describe/configure the source
a1.sources.r1.type avro
a1.sources.r1.bind 172.19.115.96
a1.sources.r1.port 4141# Describe the sink
a1.sinks.k1.type hdfs
a1.sinks.k1.hdfs.path hdfs://localhost:8020/test/%Y%m%d
#生成的hdfs文件名的前缀
a1.sinks.k1.hdfs.filePrefix logs-
#指定滚动时间默认是30秒设置为0表示禁用该策略 生产调整为3600
a1.sinks.k1.hdfs.rollInterval 10
#指定滚动大小设置为0表示禁用该策略,128M
a1.sinks.k1.hdfs.rollSize 134217700
#指定滚动条数
a1.sinks.k1.hdfs.rollCount 0
#a1.sinks.k1.hdfs.batchSize 100
a1.sinks.k1.hdfs.useLocalTimeStamp true
#生成的文件类型默认是Sequencefile可用DataStream则为普通文本
a1.sinks.k1.hdfs.fileType DataStream# Use a channel which buffers events in memory
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.sinks.k1.channel c13 在hdfs服务器上启动HDFS
start-dfs.sh
4 先启动hdfs服务器上的flume bin/flume-ng agent -c conf/ -f job/avro-flume-hdfs.conf -n a1后台运行 nohup ./bin/flume-ng agent -c conf/ -f job/avro-flume-hdfs.conf -n a1 5 再启动日志服务器上的flume
bin/flume-ng agent -c conf/ -f job/file-flume-avro.conf -n a1
后台运行
nohup ./bin/flume-ng agent -c conf/ -f job/file-flume-avro.conf -n a1
