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Flume之HelloWorld

标签:
大数据

本文按照官方文档指引完成Flume的HelloWorld例子:

概述

本例使用Netcat TCP类型的source获取网络数据,通过Logger类型的sink的打印数据,两者通过Memory Channel绑定,如下图所示。

image

其中,Netcat TCP SourceLogger SinkMemory Channel 的说明请参见官方描述:

NetCat TCP Source

A netcat-like source that listens on a given port and turns each line of text into an event. Acts like nc -k -l [host] [port]. In other words, it opens a specified port and listens for data. The expectation is that the supplied data is newline separated text. Each line of text is turned into a Flume event and sent via the connected channel.

Logger Sink

Logs event at INFO level. Typically useful for testing/debugging purpose. This sink is the only exception which doesn’t require the extra configuration explained in the Logging raw data section.

Memory Channel

The events are stored in an in-memory queue with configurable max size. It’s ideal for flows that need higher throughput and are prepared to lose the staged data in the event of a agent failures.

配置

配置文件如下:

# helloworld.conf: A single-node Flume configuration

# Name the components on this agent
a1.sources = r1
a1.sinks = k1
a1.channels = c1

# Describe/configure the source
a1.sources.r1.type = netcat
a1.sources.r1.bind = localhost
a1.sources.r1.port = 44444

# Describe the sink
a1.sinks.k1.type = logger

# 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

该配置文件中,分别定义了:

  • 名为a1的agent;
  • 名为r1类型为netcat的source,在本机44444端口监听;
  • 名为c1类型为memory的channel,该channel在内存中缓存event数据;
  • 名为k1类型为loger的sink,该sink将event数据打印到控制台;

在单个配置文件中可以定义多个agent,在启动flume进程时,可通过传参指定要启动的agent。

启动

启动flume之前,需先修改flume-env.sh 配置文件。在conf目录中,将flume-env.sh.template文件重命名,并新增JAVA_HOME参数:

# If this file is placed at FLUME_CONF_DIR/flume-env.sh, it will be sourced
# during Flume startup.

# Enviroment variables can be set here.
# export JAVA_HOME=/usr/lib/jvm/java-8-oracle
export JAVA_HOME=/usr/local/jdk1.8.0_202

进入flume目录,通过以下命令,启动配置文件中名为a1的agent:

# bin/flume-ng agent --conf conf --conf-file conf/helloworld.conf --name a1 -Dflume.root.logger=INFO,console

其中:

  • --conf=<conf-dir>指定flume-env.sh配置文件和log4j文件所在目录

部分输出如下:

Info: Sourcing environment configuration script /usr/local/flume-1.9.0/conf/flume-env.sh
Info: Including Hadoop libraries found via (/usr/local/hadoop-3.2.2/bin/hadoop) for HDFS access
Info: Including Hive libraries found via () for Hive access

--- 省略若干行

2022-01-19 13:48:47,256 (lifecycleSupervisor-1-5) [INFO - org.apache.flume.source.NetcatSource.start(NetcatSource.java:166)] Created serverSocket:sun.nio.ch.ServerSocketChannelImpl[/127.0.0.1:44444]

可以看到,source、channel、sink均创建并启动,同时socket server在本机44444端口开启监听。

have a try

使用telnet向本机44444端口发送测试数据:

[root@bukp4 ~]# telnet localhost 44444
Trying ::1...
telnet: connect to address ::1: Connection refused
Trying 127.0.0.1...
Connected to localhost.
Escape character is '^]'.
linchao
OK
bukp.net
OK

观察控制台,可看到数据输出:

2022-01-19 14:08:51,744 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:95)] Event: { headers:{} body: 6C 69 6E 63 68 61 6F 0D                         linchao. }
2022-01-19 14:09:38,724 (SinkRunner-PollingRunner-DefaultSinkProcessor) [INFO - org.apache.flume.sink.LoggerSink.process(LoggerSink.java:95)] Event: { headers:{} body: 62 75 6B 70 2E 6E 65 74 0D                      bukp.net. }

至此,HelloWorld级别的Flume示例完成。

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