Flume 如何自定义 Mysql Sink？

前言

本文隶属于专栏《1000个问题搞定大数据技术体系》，该专栏为笔者原创，引用请注明来源，不足和错误之处请在评论区帮忙指出，谢谢！

本专栏目录结构和参考文献请见1000个问题搞定大数据技术体系

正文

场景描述

官方提供的sink类型已经很多，但是有时候并不能满足实际开发当中的需求，此时我们就需要根据实际需求自定义某些sink。

如：需要把接受到的数据按照规则进行过滤之后写入到某张mysql表中，所以此时需要我们自己实现MySQLSink。

自定义 Mysql Sink 步骤

• 1、根据官方说明自定义 MysqlSink 需要继承 AbstractSink 类并实现 Configurable

• 2、实现对应的方法

  • configure(Context context)
    • 初始化context
  • start()
    • 启动准备操作
  • process()
    • 从channel获取数据，然后解析之后，保存在mysql表中
  • stop()
    • 关闭相关资源

实践

1. 创建 mysql 数据库以及 mysql 数据库表

--创建一个数据库
CREATE
DATABASE IF NOT EXISTS mysqlsource DEFAULT CHARACTER SET utf8 ;

--创建一个表，用户保存拉取目标表位置的信息
CREATE TABLE mysqlsource.flume2mysql
(
    id         int(11) NOT NULL AUTO_INCREMENT,
    createTime varchar(64)  NOT NULL,
    content    varchar(255) NOT NULL,
    PRIMARY KEY (id)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

2. 构建maven工程，添加依赖

    <properties>
        <flume.version>1.9.0flume.version>
        <mysql.version>8.0.24mysql.version>
    properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.flumegroupId>
            <artifactId>flume-ng-coreartifactId>
            <version>${flume.version}version>
        dependency>
        <dependency>
            <groupId>mysqlgroupId>
            <artifactId>mysql-connector-javaartifactId>
            <version>${mysql.version}version>
        dependency>
        <dependency>
            <groupId>org.apache.commonsgroupId>
            <artifactId>commons-lang3artifactId>
            <version>3.12.0version>
        dependency>
    dependencies>

3. 定义 MysqlSink 类

package com.shockang.study.bigdata.flume;

import org.apache.flume.Channel;
import org.apache.flume.Context;
import org.apache.flume.Event;
import org.apache.flume.Transaction;
import org.apache.flume.conf.Configurable;
import org.apache.flume.sink.AbstractSink;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;
import java.text.SimpleDateFormat;
import java.util.Date;

/**
 * 自定义MysqlSink
 */
public class MysqlSink extends AbstractSink implements Configurable {
    private String mysqlurl = "";
    private String username = "";
    private String password = "";
    private String tableName = "";

    Connection con = null;

    @Override
    public Status process() {
        Status status = null;
        // Start transaction
        Channel ch = getChannel();
        Transaction txn = ch.getTransaction();
        txn.begin();
        try {
            Event event = ch.take();

            if (event != null) {
                //获取body中的数据
                String body = new String(event.getBody(), "UTF-8");

                //如果日志中有以下关键字的不需要保存，过滤掉
                if (body.contains("delete") || body.contains("drop") || body.contains("alert")) {
                    status = Status.BACKOFF;
                } else {

                    //存入Mysql
                    SimpleDateFormat df = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
                    String createtime = df.format(new Date());

                    PreparedStatement stmt = con.prepareStatement("insert into " + tableName + " (createtime, content) values (?, ?)");
                    stmt.setString(1, createtime);
                    stmt.setString(2, body);
                    stmt.execute();
                    stmt.close();
                    status = Status.READY;
                }
            } else {
                status = Status.BACKOFF;
            }

            txn.commit();
        } catch (Throwable t) {
            txn.rollback();
            t.getCause().printStackTrace();
            status = Status.BACKOFF;
        } finally {
            txn.close();
        }

        return status;
    }

    /**
     * 获取配置文件中指定的参数
     *
     * @param context
     */
    @Override
    public void configure(Context context) {
        mysqlurl = context.getString("mysqlurl");
        username = context.getString("username");
        password = context.getString("password");
        tableName = context.getString("tablename");
    }

    @Override
    public synchronized void start() {
        try {
            //初始化数据库连接
            con = DriverManager.getConnection(mysqlurl, username, password);
            super.start();
            System.out.println("finish start");
        } catch (Exception ex) {
            ex.printStackTrace();
        }
    }

    @Override
    public synchronized void stop() {
        try {
            con.close();
        } catch (SQLException e) {
            e.printStackTrace();
        }
        super.stop();
    }

}

4. 测试

① 程序打成jar包，上传jar包到flume的lib目录下

② 配置文件准备

vim mysqlsink.conf

a1.sources = r1
a1.sinks = k1
a1.channels = c1

#配置source
a1.sources.r1.type = exec
a1.sources.r1.command = tail -F /opt/bigdata/flumeData/data.log
a1.sources.r1.channels = c1

#配置channel
a1.channels.c1.type = memory
a1.channels.c1.capacity = 1000
a1.channels.c1.transactionCapacity = 100

#配置sink
a1.sinks.k1.channel = c1
a1.sinks.k1.type = com.shockang.study.bigdata.flume.MysqlSink
a1.sinks.k1.mysqlurl=jdbc:mysql://node1:3306/mysqlsource?useSSL=false
a1.sinks.k1.username=root
a1.sinks.k1.password=123456
a1.sinks.k1.tablename=flume2mysql

③ 启动flume配置

flume-ng agent -n a1 -c /opt/bigdata/flume/myconf -f /opt/bigdata/flume/myconf/mysqlsink.conf -Dflume.root.logger=info,console

④ 最后向文件中添加数据，观察mysql表中的数据