5、自定义Source

自定义Source说明

Source是负责接收数据到Flume Agent的组件。Source组件可以处理各种类型、各种格式的日志数据,包括avro、thrift、exec、jms、spooling directory、netcat、sequence generator、syslog、http、legacy。官方提供的source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source。
如:实时监控MySQL,从MySQL中获取数据传输到HDFS或者其他存储框架,所以此时需要我们自己实现MySQLSource。
官方也提供了自定义source的接口:
官网说明:https://flume.apache.org/FlumeDeveloperGuide.html#source

自定义MySQLSource步骤

根据官方说明自定义mysqlsource需要继承AbstractSource类并实现Configurable和PollableSource接口。
实现相应方法:
getBackOffSleepIncrement()//暂不用
getMaxBackOffSleepInterval()//暂不用
configure(Context context)//初始化context
process()//获取数据(从mysql获取数据,业务处理比较复杂,所以我们定义一个专门的类,SQLSourceHelper来处理跟mysql的交互),封装成event并写入channel,这个方法被循环调用
stop()//关闭相关的资源

代码实现

  1. 相关属性说明
属性 说明(括号中为默认值)
runQueryDelay 查询时间间隔(10000)
batchSize 缓存大小(100)
startFrom 查询语句开始id(0)
currentIndex 查询语句当前id,每次查询之前需要查元数据表
recordSixe 查询返回条数
table 监控的表名
columnsToSelect 查询字段(*)
customQuery 用户传入的查询语句
query 查询语句
defaultCharsetResultSet 编码格式(UTF-8)
  1. 方法说明
方法 说明
SQLSourceHelper(Context context) 构造方法,初始化属性及获取JDBC连接
InitConnection(String url, String user, String pw) 获取JDBC连接
checkMandatoryProperties() 校验相关属性是否设置(实际开发中可增加内容)
buildQuery() 根据实际情况构建sql语句,返回值String
executeQuery() 执行sql语句的查询操作,返回值List>
getAllRows(List> queryResult) 将查询结果转换为String,方便后续操作
updateOffset2DB(int size) 根据每次查询结果将offset写入元数据表
execSql(String sql) 具体执行sql语句方法
getStatusDBIndex(int startFrom) 获取元数据表中的offset
queryOne(String sql) 获取元数据表中的offset实际sql语句执行方法
close() 关闭资源
  1. 导入pom依赖

        
            org.apache.flume
            flume-ng-core
            1.7.0
        
        
            mysql
            mysql-connector-java
            5.1.27
        
        
            org.apache.logging.log4j
            log4j-core
            2.11.0
        
    
  1. 添加配置信息
    在classpath下添加jdbc.properties和log4j. properties
dbDriver=com.mysql.jdbc.Driver
dbUrl=jdbc:mysql://hadoop-100:3306/mysqlsource?useUnicode=true&characterEncoding=utf-8
dbUser=root
dbPassword=zhaojun
#--------console-----------
log4j.rootLogger=info,myconsole,myfile
log4j.appender.myconsole=org.apache.log4j.ConsoleAppender
log4j.appender.myconsole.layout=org.apache.log4j.SimpleLayout
#log4j.appender.myconsole.layout.ConversionPattern =%d [%t] %-5p [%c] - %m%n

#log4j.rootLogger=error,myfile
log4j.appender.myfile=org.apache.log4j.DailyRollingFileAppender
log4j.appender.myfile.File=/tmp/flume.log
log4j.appender.myfile.layout=org.apache.log4j.PatternLayout
log4j.appender.myfile.layout.ConversionPattern =%d [%t] %-5p [%c] - %m%n

  1. SQLSourceHelper代码实现
package com.zj;

import org.apache.flume.Context;
import org.apache.flume.conf.ConfigurationException;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.IOException;
import java.sql.*;
import java.text.ParseException;
import java.util.ArrayList;
import java.util.List;
import java.util.Properties;


public class SQLSourceHelper {
    private static final Logger LOG = LoggerFactory.getLogger(SQLSourceHelper.class);

    private int runQueryDelay, //两次查询的时间间隔
            startFrom,            //开始id
            currentIndex,        //当前id
            recordSixe = 0,      //每次查询返回结果的条数
            maxRow;                //每次查询的最大条数


    private String table,       //要操作的表
            columnsToSelect,     //用户传入的查询的列
            customQuery,          //用户传入的查询语句
            query,                 //构建的查询语句
            defaultCharsetResultSet;//编码集

    //上下文,用来获取配置文件
    private Context context;

    //为定义的变量赋值(默认值),可在flume任务的配置文件中修改
    private static final int DEFAULT_QUERY_DELAY = 10000;
    private static final int DEFAULT_START_VALUE = 0;
    private static final int DEFAULT_MAX_ROWS = 2000;
    private static final String DEFAULT_COLUMNS_SELECT = "*";
    private static final String DEFAULT_CHARSET_RESULTSET = "UTF-8";

    private static Connection conn = null;
    private static PreparedStatement ps = null;
    private static String connectionURL, connectionUserName, connectionPassword;

    //加载静态资源
    static {
        Properties p = new Properties();
        try {
            p.load(SQLSourceHelper.class.getClassLoader().getResourceAsStream("jdbc.properties"));
            connectionURL = p.getProperty("dbUrl");
            connectionUserName = p.getProperty("dbUser");
            connectionPassword = p.getProperty("dbPassword");
            Class.forName(p.getProperty("dbDriver"));
        } catch (IOException | ClassNotFoundException e) {
            LOG.error(e.toString());
        }
    }

    //获取JDBC连接
    private static Connection InitConnection(String url, String user, String pw) {
        try {
            Connection conn = DriverManager.getConnection(url, user, pw);
            if (conn == null) {
                throw new SQLException();
            }
            return conn;
        } catch (SQLException e) {
            e.printStackTrace();
        }
        return null;
    }

    //构造方法
    SQLSourceHelper(Context context) throws ParseException {
        //初始化上下文
        this.context = context;

        //有默认值参数:获取flume任务配置文件中的参数,读不到的采用默认值
        this.columnsToSelect = context.getString("columns.to.select", DEFAULT_COLUMNS_SELECT);
        this.runQueryDelay = context.getInteger("run.query.delay", DEFAULT_QUERY_DELAY);
        this.startFrom = context.getInteger("start.from", DEFAULT_START_VALUE);
        this.defaultCharsetResultSet = context.getString("default.charset.resultset", DEFAULT_CHARSET_RESULTSET);

        //无默认值参数:获取flume任务配置文件中的参数
        this.table = context.getString("table");
        this.customQuery = context.getString("custom.query");
        connectionURL = context.getString("connection.url");
        connectionUserName = context.getString("connection.user");
        connectionPassword = context.getString("connection.password");
        conn = InitConnection(connectionURL, connectionUserName, connectionPassword);

        //校验相应的配置信息,如果没有默认值的参数也没赋值,抛出异常
        checkMandatoryProperties();
        //获取当前的id
        currentIndex = getStatusDBIndex(startFrom);
        //构建查询语句
        query = buildQuery();
    }

    //校验相应的配置信息(表,查询语句以及数据库连接的参数)
    private void checkMandatoryProperties() {
        if (table == null) {
            throw new ConfigurationException("property table not set");
        }
        if (connectionURL == null) {
            throw new ConfigurationException("connection.url property not set");
        }
        if (connectionUserName == null) {
            throw new ConfigurationException("connection.user property not set");
        }
        if (connectionPassword == null) {
            throw new ConfigurationException("connection.password property not set");
        }
    }

    //构建sql语句
    private String buildQuery() {
        String sql = "";
        //获取当前id
        currentIndex = getStatusDBIndex(startFrom);
        LOG.info(currentIndex + "");
        if (customQuery == null) {
            sql = "SELECT " + columnsToSelect + " FROM " + table;
        } else {
            sql = customQuery;
        }
        StringBuilder execSql = new StringBuilder(sql);
        //以id作为offset
        if (!sql.contains("where")) {
            execSql.append(" where ");
            execSql.append("id").append(">").append(currentIndex);
            return execSql.toString();
        } else {
            int length = execSql.toString().length();
            return execSql.toString().substring(0, length - String.valueOf(currentIndex).length()) + currentIndex;
        }
    }

    //执行查询
    List> executeQuery() {
        try {
            //每次执行查询时都要重新生成sql,因为id不同
            customQuery = buildQuery();
            //存放结果的集合
            List> results = new ArrayList<>();
            if (ps == null) {
                //
                ps = conn.prepareStatement(customQuery);
            }
            ResultSet result = ps.executeQuery(customQuery);
            while (result.next()) {
                //存放一条数据的集合(多个列)
                List row = new ArrayList<>();
                //将返回结果放入集合
                for (int i = 1; i <= result.getMetaData().getColumnCount(); i++) {
                    row.add(result.getObject(i));
                }
                results.add(row);
            }
            LOG.info("execSql:" + customQuery + "\nresultSize:" + results.size());
            return results;
        } catch (SQLException e) {
            LOG.error(e.toString());
            // 重新连接
            conn = InitConnection(connectionURL, connectionUserName, connectionPassword);
        }
        return null;
    }

    //将结果集转化为字符串,每一条数据是一个list集合,将每一个小的list集合转化为字符串
    List getAllRows(List> queryResult) {
        List allRows = new ArrayList<>();
        if (queryResult == null || queryResult.isEmpty()) {
            return allRows;
        }
        StringBuilder row = new StringBuilder();
        for (List rawRow : queryResult) {
            Object value = null;
            for (Object aRawRow : rawRow) {
                value = aRawRow;
                if (value == null) {
                    row.append(",");
                } else {
                    row.append(aRawRow.toString()).append(",");
                }
            }
            allRows.add(row.toString());
            row = new StringBuilder();
        }
        return allRows;
    }

    //更新offset元数据状态,每次返回结果集后调用。必须记录每次查询的offset值,为程序中断续跑数据时使用,以id为offset
    void updateOffset2DB(int size) {
        //以source_tab做为KEY,如果不存在则插入,存在则更新(每个源表对应一条记录)
        String sql = "insert into flume_meta(source_tab,currentIndex) VALUES('"
                + this.table
                + "','" + (recordSixe += size)
                + "') on DUPLICATE key update source_tab=values(source_tab),currentIndex=values(currentIndex)";
        LOG.info("updateStatus Sql:" + sql);
        execSql(sql);
    }

    //执行sql语句
    private void execSql(String sql) {
        try {
            ps = conn.prepareStatement(sql);
            LOG.info("exec::" + sql);
            ps.execute();
        } catch (SQLException e) {
            e.printStackTrace();
        }
    }

    //获取当前id的offset
    private Integer getStatusDBIndex(int startFrom) {
        //从flume_meta表中查询出当前的id是多少
        String dbIndex = queryOne("select currentIndex from flume_meta where source_tab='" + table + "'");
        if (dbIndex != null) {
            return Integer.parseInt(dbIndex);
        }
        //如果没有数据,则说明是第一次查询或者数据表中还没有存入数据,返回最初传入的值
        return startFrom;
    }

    //查询一条数据的执行语句(当前id)
    private String queryOne(String sql) {
        ResultSet result = null;
        try {
            ps = conn.prepareStatement(sql);
            result = ps.executeQuery();
            while (result.next()) {
                return result.getString(1);
            }
        } catch (SQLException e) {
            e.printStackTrace();
        }
        return null;
    }

    //关闭相关资源
    void close() {
        try {
            ps.close();
            conn.close();
        } catch (SQLException e) {
            e.printStackTrace();
        }
    }

    int getCurrentIndex() {
        return currentIndex;
    }

    void setCurrentIndex(int newValue) {
        currentIndex = newValue;
    }

    int getRunQueryDelay() {
        return runQueryDelay;
    }

    String getQuery() {
        return query;
    }

    String getConnectionURL() {
        return connectionURL;
    }

    private boolean isCustomQuerySet() {
        return (customQuery != null);
    }

    Context getContext() {
        return context;
    }

    public String getConnectionUserName() {
        return connectionUserName;
    }

    public String getConnectionPassword() {
        return connectionPassword;
    }

    String getDefaultCharsetResultSet() {
        return defaultCharsetResultSet;
    }
}
 
  
  1. SQLSource代码实现
package com.zj;

import org.apache.flume.Context;
import org.apache.flume.Event;
import org.apache.flume.EventDeliveryException;
import org.apache.flume.PollableSource;
import org.apache.flume.conf.Configurable;
import org.apache.flume.event.SimpleEvent;
import org.apache.flume.source.AbstractSource;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.text.ParseException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;

public class SQLSource extends AbstractSource implements Configurable, PollableSource {

    //打印日志
    private static final Logger LOG = LoggerFactory.getLogger(SQLSource.class);
    //定义sqlHelper
    private SQLSourceHelper sqlSourceHelper;


    @Override
    public long getBackOffSleepIncrement() {
        return 0;
    }

    @Override
    public long getMaxBackOffSleepInterval() {
        return 0;
    }

    @Override
    public void configure(Context context) {
        try {
            //初始化
            sqlSourceHelper = new SQLSourceHelper(context);
        } catch (ParseException e) {
            e.printStackTrace();
        }
    }

    @Override
    public Status process() throws EventDeliveryException {
        try {
            //查询数据表
            List> result = sqlSourceHelper.executeQuery();
            //存放event的集合
            List events = new ArrayList<>();
            //存放event头集合
            HashMap header = new HashMap<>();
            //如果有返回数据,则将数据封装为event
            if (!result.isEmpty()) {
                List allRows = sqlSourceHelper.getAllRows(result);
                Event event = null;
                for (String row : allRows) {
                    event = new SimpleEvent();
                    event.setBody(row.getBytes());
                    event.setHeaders(header);
                    events.add(event);
                }
                //将event写入channel
                this.getChannelProcessor().processEventBatch(events);
                //更新数据表中的offset信息
                sqlSourceHelper.updateOffset2DB(result.size());
            }
            //等待时长
            Thread.sleep(sqlSourceHelper.getRunQueryDelay());
            return Status.READY;
        } catch (InterruptedException e) {
            LOG.error("Error procesing row", e);
            return Status.BACKOFF;
        }
    }

    @Override
    public synchronized void stop() {
        LOG.info("Stopping sql source {} ...", getName());
        try {
            //关闭资源
            sqlSourceHelper.close();
        } finally {
            super.stop();
        }
    }
}

测试

jar包准备

  1. 将mysql驱动包也放入flume的lib目录下
    cp /opt/software/mysql-libs/mysql-connector-java-5.1.27/mysql-connector-java-5.1.27-bin.jar /opt/module/flume/lib/
  2. 打包项目并将jar包放入flume的lib目录下

配置文件准备

在flume的job目录下创建mysql.conf,并输入以下内容

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

# Describe/configure the source
a1.sources.r1.type = com.zj.SQLSource  
a1.sources.r1.connection.url = jdbc:mysql://192.168.114.100:3306/mysqlsource
a1.sources.r1.connection.user = root  
a1.sources.r1.connection.password = zhaojun
a1.sources.r1.table = student  
a1.sources.r1.columns.to.select = *  
a1.sources.r1.incremental.column.name = id  
a1.sources.r1.incremental.value = 0  
a1.sources.r1.run.query.delay=5000

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

# Describe the channel
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

Mysql表准备

  1. 创建mysqlsource数据库
    CREATE DATABASE mysqlsource
  2. 在mysqlsource数据库下创建数据表student和元数据表flume_meta
    CREATE TABLE student (
    id int(11) NOT NULL AUTO_INCREMENT,
    name varchar(255) NOT NULL,
    PRIMARY KEY (id)
    );
    CREATE TABLE flume_meta (
    source_tab varchar(255) NOT NULL,
    currentIndex varchar(255) NOT NULL,
    PRIMARY KEY (source_tab)
    );

测试并查看结果

  1. 启动任务
    bin/flume-ng agent -c conf/ -f job/mysql.conf -n a1 -Dflume.root.logger=INFO,console
  2. 查看结果

     

    5、自定义Source_第1张图片

    自定义mysqlSource结果.png

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