四十、Flume自定义MySQLSource

忘是亡心i 2021-09-07 06:12 414阅读 0赞

上一篇文章我们通过自定义Source和Sink来实现了Flume的数据采集，本文我们再来看一个自定义MySQLSource的实例。关注专栏[《破茧成蝶——大数据篇》][Link 1]，查看更多相关的内容~

--------------------

**目录**

一、需求说明

二、编码实现

三、编写Flume配置文件

四、新建mysql表

五、测试自定义的MySQLSource

--------------------

# 一、需求说明 #

实时监控MySQL，从MySQL中获取数据实时的传输到控制台。

# 二、编码实现 #

2.1 首先需要导入相关的依赖包，如下所示。

<dependency>
                <groupId>org.apache.flume</groupId>
                <artifactId>flume-ng-core</artifactId>
                <version>1.7.0</version>
            </dependency>
    
            <dependency>
                <groupId>mysql</groupId>
                <artifactId>mysql-connector-java</artifactId>
                <version>5.1.27</version>
            </dependency>

2.2 在classpath下新建jdbc.properties和log4j.properties。

（1）jdbc.properties

dbDriver=com.mysql.jdbc.Driver
    dbUrl=jdbc:mysql://master:3306/xzw?useUnicode=true&characterEncoding=utf-8
    dbUser=username
    dbPassword=password

（2）log4j.properties

log4j.rootLogger=info,myconsole,myfile
    log4j.appender.myconsole=org.apache.log4j.ConsoleAppender
    log4j.appender.myconsole.layout=org.apache.log4j.SimpleLayout
    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

2.3 编写SQL Source Parse。

package com.xzw.utils;
    
    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.util.ArrayList;
    import java.util.List;
    import java.util.Properties;
    
    /**
     * @author: xzw
     * @create_date: 2021/1/20 14:32
     * @desc: SQL Source 解释器
     * @modifier:
     * @modified_date:
     * @desc:
     */
    public class SQLSourceParse {
        private static final Logger LOG = LoggerFactory.getLogger(SQLSourceParse.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,  //要查询的列
                customQuery,  //查询语句
                query,  //构建查询语句
                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，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 properties = new Properties();
            try {
                properties.load(SQLSourceParse.class.getClassLoader().getResourceAsStream("jdbc.properties"));
                connectionURL = properties.getProperty("dbUrl");
                connectionUserName = properties.getProperty("dbUser");
                connectionPassword = properties.getProperty("dbPassword");
                Class.forName(properties.getProperty("dbDriver"));
            } catch (IOException | ClassNotFoundException e) {
                LOG.error(e.toString());
            }
        }
    
        /**
         * 获取jdbc连接
         *
         * @param url
         * @param user
         * @param password
         * @return
         */
        private static Connection InitConnection(String url, String user, String password) {
            try {
                Connection conn = DriverManager.getConnection(url, user, password);
                if (conn == null)
                    throw new SQLException();
                return conn;
            } catch (SQLException e) {
                e.printStackTrace();
            }
            return null;
        }
    
        /**
         * 校验相应的配置信息
         *
         * @throws ConfigurationException
         */
        private void checkProps() throws ConfigurationException {
            if (table == null)
                throw new ConfigurationException("table is not exist!");
            if (connectionURL == null)
                throw new ConfigurationException("connection url is null!");
            if (connectionUserName == null)
                throw new ConfigurationException("connection username is null!");
            if (connectionPassword == null)
                throw new ConfigurationException("connection password is null!");
        }
    
        /**
         * 查询一条数据
         *
         * @param sql
         * @return
         */
        private String queryOne(String sql) {
            ResultSet resultSet = null;
            try {
                ps = conn.prepareStatement(sql);
                resultSet = ps.executeQuery();
                while (resultSet.next()) {
                    return resultSet.getString(1);
                }
            } catch (SQLException e) {
                e.printStackTrace();
            }
            return null;
        }
    
        /**
         * 获取当前id的offset
         *
         * @param startFrom
         * @return
         */
        private Integer getStatusDBIndex(int startFrom) {
            //从Flume的meta中获取当前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，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;
        }
    
        /**
         * 构建SQL语句
         *
         * @return
         */
        private String buildQuery() {
            String sql = "";
    
            //获取当前的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;
            }
        }
    
        /**
         * 构造方法
         *
         * @param context
         */
        public SQLSourceParse(Context context) throws ConfigurationException {
            //初始化上下文
            this.context = context;
    
            //默认值参数，获取Flume配置文件中的参数，读取不到的使用默认值
            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有赋值，抛出异常
            checkProps();
            //获取当前的id
            currentIndex = getStatusDBIndex(startFrom);
            //构建查询语句
            query = buildQuery();
    
        }
    
        /**
         * 执行查询
         *
         * @return
         */
        public List<List<Object>> execQuery() {
            try {
                //每次执行查询都要重新生成SQL，因为id不同
                customQuery = buildQuery();
                //存放结果的集合
                List<List<Object>> results = new ArrayList<>();
    
                if (ps == null)
                    ps = conn.prepareStatement(customQuery);
    
                ResultSet rs = ps.executeQuery(customQuery);
                while (rs.next()) {
                    //存放一条数据的集合
                    List<Object> row = new ArrayList<>();
                    //将返回结果放入集合
                    for (int i = 1; i < rs.getMetaData().getColumnCount(); i++) {
                        row.add(rs.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
         *
         * @param queryResult
         * @return
         */
        public List<String> getAllRows(List<List<Object>> queryResult) {
            List<String> allRows = new ArrayList<>();
            if (queryResult == null || queryResult.isEmpty())
                return allRows;
            StringBuilder row = new StringBuilder();
            for (List<Object> 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;
        }
    
        /**
         * 执行sql语句
         *
         * @param sql
         */
        private void execSql(String sql) {
            try {
                ps = conn.prepareStatement(sql);
                LOG.info("exec::" + sql);
                ps.execute();
            } catch (SQLException e) {
                e.printStackTrace();
            }
        }
    
        /**
         * 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
         *
         * @param size
         */
        public 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);
        }
    
        /**
         * 关闭相关资源
         */
        public void close() {
            try {
                ps.close();
                conn.close();
            } catch (SQLException e) {
                e.printStackTrace();
            }
        }
    
        public int getCurrentIndex() {
            return currentIndex;
        }
    
        public void setCurrentIndex(int newValue) {
            currentIndex = newValue;
        }
    
        public int getRunQueryDelay() {
            return runQueryDelay;
        }
    
        public String getQuery() {
            return query;
        }
    
        public String getConnectionURL() {
            return connectionURL;
        }
    
        public boolean isCustomQuerySet() {
            return (customQuery != null);
        }
    
        public Context getContext() {
            return context;
        }
    
        public String getConnectionUserName() {
            return connectionUserName;
        }
    
        public String getConnectionPassword() {
            return connectionPassword;
        }
    
        public String getDefaultCharsetResultSet() {
            return defaultCharsetResultSet;
        }
    }

2.4 编写MySQL Source。

package com.xzw.source;
    
    import com.xzw.utils.SQLSourceParse;
    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.conf.ConfigurationException;
    import org.apache.flume.event.SimpleEvent;
    import org.apache.flume.source.AbstractSource;
    import org.slf4j.Logger;
    import org.slf4j.LoggerFactory;
    
    import java.util.ArrayList;
    import java.util.HashMap;
    import java.util.List;
    
    /**
     * @author: xzw
     * @create_date: 2021/1/20 14:30
     * @desc: 自定义的MySQL Source
     * @modifier:
     * @modified_date:
     * @desc:
     */
    public class MySQLSource extends AbstractSource implements Configurable, PollableSource {
        //打印日志
        private static final Logger LOG = LoggerFactory.getLogger(MySQLSource.class);
        //定义parse
        private SQLSourceParse sqlSourceParse;
    
        @Override
        public Status process() throws EventDeliveryException {
            try {
                //查询数据表
                List<List<Object>> result = sqlSourceParse.execQuery();
                //存放event的集合
                List<Event> events = new ArrayList<>();
                //存放event头
                HashMap<String, String> header = new HashMap<>();
                //如果没有返回数据，则将数据封装为event
                if (!result.isEmpty()) {
                    List<String> allRows = sqlSourceParse.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
                    sqlSourceParse.updateOffset2DB(result.size());
                }
    
                //等待时长
                Thread.sleep(sqlSourceParse.getRunQueryDelay());
                return Status.READY;
            } catch (InterruptedException e) {
                LOG.error("Error procesing row", e);
                return Status.BACKOFF;
            }
        }
    
        @Override
        public long getBackOffSleepIncrement() {
            return 0;
        }
    
        @Override
        public long getMaxBackOffSleepInterval() {
            return 0;
        }
    
        @Override
        public void configure(Context context) {
            try {
                sqlSourceParse = new SQLSourceParse(context);
            } catch (ConfigurationException e) {
                e.printStackTrace();
            }
        }
    
        @Override
        public synchronized void stop() {
            LOG.info("Stopping sql source {} ...", getName());
            try {
                //关闭资源
                sqlSourceParse.close();
            } finally {
                super.stop();
            }
        }
    
        public static void main(String[] args) {
    
        }
    }

# 三、编写Flume配置文件 #

编写flume-mysqlsource.conf配置文件，具体内容如下所示：

a1.sources = r1
    a1.sinks = k1
    a1.channels = c1
    
    a1.sources.r1.type = com.xzw.source.MySQLSource
    a1.sources.r1.connection.url = jdbc:mysql://192.168.0.82:3306/xzw
    a1.sources.r1.connection.user = username
    a1.sources.r1.connection.password = password
    a1.sources.r1.table = people
    a1.sources.r1.columns.to.select = *
    #a1.sources.r1.custom.query = select * from people
    #a1.sources.r1.incremental.column.name = id
    #a1.sources.r1.incremental.value = 0
    a1.sources.r1.run.query.delay=5000
    
    a1.sinks.k1.type = logger
    
    a1.channels.c1.type = memory
    a1.channels.c1.capacity = 1000
    a1.channels.c1.transactionCapacity = 100
    
    a1.sources.r1.channels = c1
    a1.sinks.k1.channel = c1

# 四、新建mysql表 #

在MySQL中新建两个表，分别如下所示：

CREATE TABLE `people` (
    `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`)
    );

并向people表中插入数据：

insert into people values(1, 'xzw');
    insert into people values(2, 'lzq');
    insert into people values(3, 'yxy');
    insert into people values(4, 'lyq');

# 五、测试自定义的MySQLSource #

启动Flume，进行测试，命令如下：

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

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2dka3l4eTIwMTM_size_16_color_FFFFFF_t_70][]

本文相当于是在上一篇文章的基础上进行的一个简单延伸，本文就到这里了，实现过程相对简单。你们在此过程中遇到了什么问题，欢迎留言，让我看看你们都遇到了哪些问题~

[Link 1]: https://blog.csdn.net/gdkyxy2013/category_10006538.html
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2dka3l4eTIwMTM_size_16_color_FFFFFF_t_70]: /images/20210726/6cc477114f624428a45f57976fa5454f.png