监控端口数据官方案例

Posted 2021-02-18 xjqi

 1 1:监控端口数据官方案例
 2 vim flume-netcat-logger.conf
 3 添加内容如下：
 4 # Name the components on this agent
 5 a1.sources = r1
 6 a1.sinks = k1
 7 a1.channels = c1
 8 
 9 # Describe/configure the source
10 a1.sources.r1.type = netcat
11 a1.sources.r1.bind = localhost
12 a1.sources.r1.port = 44444
13 
14 # Describe the sink
15 a1.sinks.k1.type = logger
16 
17 # Use a channel which buffers events in memory
18 a1.channels.c1.type = memory
19 a1.channels.c1.capacity = 1000
20 a1.channels.c1.transactionCapacity = 100
21 
22 # Bind the source and sink to the channel
23 a1.sources.r1.channels = c1
24 a1.sinks.k1.channel = c1

2:实时监控单个追加文件
vim flume-file-hdfs.conf
# Name the components on this agent
a2.sources = r2
a2.sinks = k2
a2.channels = c2

# Describe/configure the source
a2.sources.r2.type = exec
a2.sources.r2.command = tail -F /opt/module/datas/A.log
a2.sources.r2.shell = /bin/bash -c

# Describe the sink
a2.sinks.k2.type = hdfs
a2.sinks.k2.hdfs.path = hdfs://hadoop102:9000/flume/%Y%m%d/%H
#上传文件的前缀
a2.sinks.k2.hdfs.filePrefix = logs-
#是否按照时间滚动文件夹
a2.sinks.k2.hdfs.round = true
#多少时间单位创建一个新的文件夹
a2.sinks.k2.hdfs.roundValue = 1
#重新定义时间单位
a2.sinks.k2.hdfs.roundUnit = hour
#是否使用本地时间戳
a2.sinks.k2.hdfs.useLocalTimeStamp = true
#积攒多少个Event才flush到HDFS一次
a2.sinks.k2.hdfs.batchSize = 1000
#设置文件类型，可支持压缩 DataStream为数据流，没有使用压缩
a2.sinks.k2.hdfs.fileType = DataStream
#多久生成一个新的文件 60秒
a2.sinks.k2.hdfs.rollInterval = 60
#设置每个文件的滚动大小 128M
a2.sinks.k2.hdfs.rollSize = 134217700
#文件的滚动与Event数量无关
a2.sinks.k2.hdfs.rollCount = 0

# Use a channel which buffers events in memory
a2.channels.c2.type = memory
a2.channels.c2.capacity = 1000
a2.channels.c2.transactionCapacity = 100

# Bind the source and sink to the channel
a2.sources.r2.channels = c2
a2.sinks.k2.channel = c2

 1 3:实时监控目录下多个新文件
 2 vim flume-dir-hdfs.conf
 3 a3.sources = r3
 4 a3.sinks = k3
 5 a3.channels = c3
 6 
 7 # Describe/configure the source
 8 a3.sources.r3.type = spooldir
 9 a3.sources.r3.spoolDir = /opt/module/flume-1.7.0/upload
10 a3.sources.r3.fileSuffix = .COMPLETED
11 a3.sources.r3.fileHeader = true
12 #忽略所有以.tmp结尾的文件，不上传
13 a3.sources.r3.ignorePattern = ([^ ]*.tmp)
14 
15 # Describe the sink
16 a3.sinks.k3.type = hdfs
17 a3.sinks.k3.hdfs.path = hdfs://hadoop102:9000/flume/upload/%Y%m%d/%H
18 #上传文件的前缀
19 a3.sinks.k3.hdfs.filePrefix = upload-
20 #是否按照时间滚动文件夹
21 a3.sinks.k3.hdfs.round = true
22 #多少时间单位创建一个新的文件夹
23 a3.sinks.k3.hdfs.roundValue = 1
24 #重新定义时间单位
25 a3.sinks.k3.hdfs.roundUnit = hour
26 #是否使用本地时间戳
27 a3.sinks.k3.hdfs.useLocalTimeStamp = true
28 #积攒多少个Event才flush到HDFS一次
29 a3.sinks.k3.hdfs.batchSize = 100
30 #设置文件类型，可支持压缩
31 a3.sinks.k3.hdfs.fileType = DataStream
32 #多久生成一个新的文件
33 a3.sinks.k3.hdfs.rollInterval = 60
34 #设置每个文件的滚动大小大概是128M
35 a3.sinks.k3.hdfs.rollSize = 134217700
36 #文件的滚动与Event数量无关
37 a3.sinks.k3.hdfs.rollCount = 0
38 
39 # Use a channel which buffers events in memory
40 a3.channels.c3.type = memory
41 a3.channels.c3.capacity = 1000
42 a3.channels.c3.transactionCapacity = 100
43 
44 # Bind the source and sink to the channel
45 a3.sources.r3.channels = c3
46 a3.sinks.k3.channel = c3
47 
48 实时读取目录文件到HDFS案例
49 
50 2.启动监控文件夹命令
51 [root@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name a3 --conf-file job/flume-dir-hdfs.conf
52 说明：在使用Spooling Directory Source时
53 不要在监控目录中创建并持续修改文件
54 上传完成的文件会以.COMPLETED结尾
55 被监控文件夹每500毫秒扫描一次文件变动
56 3. 向upload文件夹中添加文件
57 在/opt/module/flume目录下创建upload文件夹
58 [root@hadoop102 flume]$ mkdir upload
59 向upload文件夹中添加文件
60 [root@hadoop102 upload]$ touch bawei.txt
61 [root@hadoop102 upload]$ touch bawei.tmp
62 [root@hadoop102 upload]$ touch bawei.log

 1 4: 实时监控目录下的多个追加文件
 2 vim flume-taildir-hdfs.conf
 3 a3.sources = r3
 4 a3.sinks = k3
 5 a3.channels = c3
 6 
 7 # Describe/configure the source
 8 a3.sources.r3.type = TAILDIR
 9 a3.sources.r3.positionFile = /opt/module/flume-1.7.0/tail_dir.json
10 a3.sources.r3.filegroups = f1 f2
11 a3.sources.r3.filegroups.f1 = /opt/module/flume-1.7.0/files/.*file.*
12 a3.sources.r3.filegroups.f2 = /opt/module/flume-1.7.0/files/.*log.*
13 
14 # Describe the sink
15 a3.sinks.k3.type = hdfs
16 a3.sinks.k3.hdfs.path = hdfs://hadoop102:9000/flume/upload2/%Y%m%d/%H
17 #上传文件的前缀
18 a3.sinks.k3.hdfs.filePrefix = upload-
19 #是否按照时间滚动文件夹
20 a3.sinks.k3.hdfs.round = true
21 #多少时间单位创建一个新的文件夹
22 a3.sinks.k3.hdfs.roundValue = 1
23 #重新定义时间单位
24 a3.sinks.k3.hdfs.roundUnit = hour
25 #是否使用本地时间戳
26 a3.sinks.k3.hdfs.useLocalTimeStamp = true
27 #积攒多少个Event才flush到HDFS一次
28 a3.sinks.k3.hdfs.batchSize = 100
29 #设置文件类型，可支持压缩
30 a3.sinks.k3.hdfs.fileType = DataStream
31 #多久生成一个新的文件
32 a3.sinks.k3.hdfs.rollInterval = 60
33 #设置每个文件的滚动大小大概是128M
34 a3.sinks.k3.hdfs.rollSize = 134217700
35 #文件的滚动与Event数量无关
36 a3.sinks.k3.hdfs.rollCount = 0
37 
38 # Use a channel which buffers events in memory
39 a3.channels.c3.type = memory
40 a3.channels.c3.capacity = 1000
41 a3.channels.c3.transactionCapacity = 100
42 
43 # Bind the source and sink to the channel
44 a3.sources.r3.channels = c3
45 a3.sinks.k3.channel = c3