快速学习-Flume高级之自定义MySQL Source

第5章 Flume高级之自定义MySQL Source

5.1 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

5.3 自定义MySQLSource组成

5.2 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

5.4 代码实现

5.4.1 导入Pom依赖

<dependencies>
    <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>
</dependencies>

5.4.2 添加配置信息

在ClassPath下添加jdbc.properties和log4j. properties

jdbc.properties:
dbDriver=com.mysql.jdbc.Driver
dbUrl=jdbc:mysql://hadoop102:3306/mysqlsource?useUnicode=true&characterEncoding=utf-8
dbUser=root
dbPassword=000000
log4j. properties:
#--------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

5.4.3 SQLSourceHelper

1）属性说明：

2）方法说明：

3）代码分析

4）代码实现：

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<List<Object>> 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<List<Object>> 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<Object> 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<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;
    }

    //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;
    }
}

5.4.4 MySQLSource

代码实现：

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<List<Object>> result = sqlSourceHelper.executeQuery();

            //存放event的集合
            List<Event> events = new ArrayList<>();

            //存放event头集合
            HashMap<String, String> header = new HashMap<>();

            //如果有返回数据，则将数据封装为event
            if (!result.isEmpty()) {

                List<String> 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();
        }
    }
}

5.5 测试

5.5.1 Jar包准备

1. 将MySql驱动包放入Flume的lib目录下

[atguigu@hadoop102 flume]$ cp \
/opt/sorfware/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

5.5.2 配置文件准备

1）创建配置文件并打开

[atguigu@hadoop102 job]$ touch mysql.conf
[atguigu@hadoop102 job]$ vim mysql.conf 

2）添加如下内容

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

# Describe/configure the source
a1.sources.r1.type = com.atguigu.source.SQLSource  
a1.sources.r1.connection.url = jdbc:mysql://192.168.9.102:3306/mysqlsource
a1.sources.r1.connection.user = root  
a1.sources.r1.connection.password = 000000  
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

5.5.3 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`)
);

3. 向数据表中添加数据
   1 zhangsan
   2 lisi
   3 wangwu
   4 zhaoliu

5.5.4测试并查看结果

1. 任务执行

[atguigu@hadoop102 flume]$ bin/flume-ng agent --conf conf/ --name a1 \
--conf-file job/mysql.conf -Dflume.root.logger=INFO,console

结果展示，如图6-2所示：