storm_jdbc 最完整的版本

开头：我这里是根据bolt与trident进行分类的，写入和读取的方法可能会在同一个类中，最后会展示一个测试的类来说明怎么用。

JdbcSpout:这个类是我写入数据和读取数据的公用spout，细节注释里说的比较详细。

import org.apache.storm.spout.SpoutOutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseRichSpout;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Values;

import com.google.common.collect.Lists;

import java.util.List;
import java.util.Map;
import java.util.Random;
/**
 * @author cwc
 * @date 2018年5月31日  
 * @description:存储数据的spout,我的读与写共用的这一个spout,用于测试
 * @version 1.0.0 
 */
public class JdbcSpout extends BaseRichSpout {
	public static Random random =new Random();
	private static final long serialVersionUID = 1L;
	private SpoutOutputCollector collector;
	//模拟数据
	public static final List<Values> rows = Lists.newArrayList(
	            new Values("peter",random.nextInt(80),1),
	            new Values("bob",random.nextInt(60),2),
	            new Values("alice",random.nextInt(100),2));

	@Override
	public void nextTuple() {
		  Random rand = new Random();
	      Values row = rows.get(rand.nextInt(rows.size() - 1));
	      
//	      this.collector.emit(new Values("bob"));//用于占位符查询的字段
	      this.collector.emit(row);//用于存储写入
	      System.out.println(row);
	      Thread.yield();
	}

	
	@Override
	public void open(Map arg0, TopologyContext arg1, SpoutOutputCollector collector) {
		this.collector =collector;
	}

	@Override
	public void declareOutputFields(OutputFieldsDeclarer declarer) {
		 declarer.declare(new Fields("name","age","sex"));//用于存储写入
//		 declarer.declare(new Fields("name"));//用于占位符查询的字段
	}

}

　　

Jdbc_bolt类：注意看注释

import java.util.List;
import java.util.Objects;

import org.apache.storm.jdbc.bolt.JdbcInsertBolt;
import org.apache.storm.jdbc.bolt.JdbcLookupBolt;
import org.apache.storm.jdbc.common.Column;
import org.apache.storm.jdbc.common.ConnectionProvider;
import org.apache.storm.jdbc.mapper.JdbcMapper;
import org.apache.storm.jdbc.mapper.SimpleJdbcLookupMapper;
import org.apache.storm.jdbc.mapper.SimpleJdbcMapper;
import org.apache.storm.tuple.Fields;

import com.sunsheen.jfids.bigdata.storm.common.CustomConnectionUtils;

import parquet.org.slf4j.Logger;
import parquet.org.slf4j.LoggerFactory;

/**
 * @author cwc
 * @date 2018年9月28日  
 * @version 1.0.0 
 * @description:jdbc对数据库的操作 
 *                 向jdbc中写入数据，分别由sql写入和全表写入两种bolt方式
 *                 jdbc通过字段与sql语句占位符的方式查询数据
 */
public class JdbcOperationBolt {
    private static ConnectionProvider cp=CustomConnectionUtils.getConnectionProvider();
    
    private static Logger logger = LoggerFactory.getLogger(JdbcOperationBolt.class);
    
    /**
     * jdbc 根据字段向数据库写入数据
     * 传入两个参数，根据占位符sql插入数据 
     * @param columnSchema 列名
     * @param sqlString sql
     * @return
     */
    public static JdbcInsertBolt getInsertBolt(List<Column> columnSchema,String sqlString){
        if((columnSchema!=null||columnSchema.size()>0) && (sqlString!=null||!Objects.equals(sqlString, ""))){
            JdbcMapper simpleJdbcMapper = new SimpleJdbcMapper(columnSchema);
            JdbcInsertBolt PersistanceBolt = new JdbcInsertBolt(cp, simpleJdbcMapper)
                    .withInsertQuery(sqlString)
                    .withQueryTimeoutSecs(30);  
            return PersistanceBolt;
        }
        logger.error("列名或sql语句不能为空！");
        return null;
    }
    
    
    /**
     * jdbc 根据表名向数据库写入数据
     * 传一个表名参数，进入全表写入
     * 注意，storm中传入的
     * @param tableName 表名
     * @return
     */
    public static JdbcInsertBolt getInsertBolt(String tableName){
        if(tableName!=null||!Objects.equals(tableName, "")){
            JdbcMapper simpleJdbcMapper = new SimpleJdbcMapper(tableName,CustomConnectionUtils.getConnectionProvider());
            JdbcInsertBolt PersistanceBolt = new JdbcInsertBolt(cp, simpleJdbcMapper)
                    .withTableName(tableName)
                    .withQueryTimeoutSecs(30);  
            return PersistanceBolt;
        }
        logger.error("表名不能为空！");
        return null;
    }
    
    /**
     * jdbc 读取数据
     * 根据sql与列名读取数据库数据
     * @param outputFields 声明要输出的字段
     * @param queryParamColumns 传入占位符的字段
     * @param sqlString 查询sql
     * @return
     */
    public static JdbcLookupBolt getJdbcLookupBolt(Fields outputFields,List<Column> queryParamColumns,String sqlString){
        if(outputFields!=null&&queryParamColumns!=null&&sqlString!=null&&outputFields.size()>0&&queryParamColumns.size()>0&&Objects.equals(sqlString,"")){
            SimpleJdbcLookupMapper lookupMapper = new SimpleJdbcLookupMapper(outputFields, queryParamColumns);
            JdbcLookupBolt JdbcLookupBolt = new JdbcLookupBolt(cp, sqlString, lookupMapper)
                    .withQueryTimeoutSecs(30);
            return JdbcLookupBolt;
        }
        logger.error("输出字段，输入字段集合，sql查询语句都不能为空！");
        return null;
    }
}

我将上面获取数据库连接的代码单独贴出来，因为封装的比较深。

/**
     * 获取Jdbc需要得ConnectionProvider相关配置
     * @return
     */
    public static ConnectionProvider getConnectionProvider(){
        Map<String,Object> hikariConfigMap = new HashMap<String, Object>(){{
            put("dataSourceClassName", JdbcClassName);
            put("dataSource.url", JdbcdbUrl);
            put("dataSource.user", JdbcUserName);
            put("dataSource.password", JdbcPassWord);}};
            ConnectionProvider connectionProvider = new HikariCPConnectionProvider(hikariConfigMap);
        return connectionProvider;
    }

Jdbc_trident 类

import java.util.List;
import java.util.Objects;

import org.apache.storm.jdbc.common.Column;
import org.apache.storm.jdbc.common.ConnectionProvider;
import org.apache.storm.jdbc.mapper.JdbcMapper;
import org.apache.storm.jdbc.mapper.SimpleJdbcLookupMapper;
import org.apache.storm.jdbc.mapper.SimpleJdbcMapper;
import org.apache.storm.jdbc.trident.state.JdbcState;
import org.apache.storm.jdbc.trident.state.JdbcStateFactory;
import org.apache.storm.tuple.Fields;

import com.sunsheen.jfids.bigdata.storm.common.CustomConnectionUtils;
import parquet.org.slf4j.Logger;
import parquet.org.slf4j.LoggerFactory;

/**
 * @author cwc
 * @date 2018年9月28日  
 * @version 1.0.0 
 * @description:jdbc Trident 类
 */
public class JdbcTridentStates {

    private static ConnectionProvider cp=CustomConnectionUtils.getConnectionProvider();
    
    private static Logger logger = LoggerFactory.getLogger(JdbcTridentStates.class);
    
    /**
     * jdbc Trident 根据字段向数据库写入数据
     * 传入两个参数，根据占位符sql插入数据 
     * @param columnSchema 列名
     * @param sqlString sql
     * @return
     */
    public static JdbcStateFactory getJdbcStateFactory (List<Column> columnSchema,String sqlString){
        if((columnSchema!=null||columnSchema.size()>0) && (sqlString!=null||!Objects.equals(sqlString, ""))){
            JdbcMapper simpleJdbcMapper = new SimpleJdbcMapper(columnSchema);
            JdbcState.Options options = new JdbcState.Options()
                    .withConnectionProvider(cp)
                    .withMapper(simpleJdbcMapper)
                    .withInsertQuery(sqlString)
                    .withQueryTimeoutSecs(200);
            JdbcStateFactory jdbcStateFactory =new JdbcStateFactory(options);
            return jdbcStateFactory;
        }
        logger.error("列名或sql为空！");
        return null;
    }
    
    /**
     * jdbc Trident 根据表名向数据库写入数据
     * 传一个表名参数，进入全表写入
     * 注意，storm中传入的
     * @param tableName 表名
     * @return
     */
    public static JdbcStateFactory getJdbcStateFactory(String tableName){
        if(tableName!=null||!Objects.equals(tableName, "")){
            JdbcMapper simpleJdbcMapper = new SimpleJdbcMapper(tableName,CustomConnectionUtils.getConnectionProvider());
            JdbcState.Options options = new JdbcState.Options()
                    .withConnectionProvider(cp)
                    .withMapper(simpleJdbcMapper)
                    .withTableName(tableName)
                    .withQueryTimeoutSecs(200);
            JdbcStateFactory jdbcStateFactory =new JdbcStateFactory(options);
            return jdbcStateFactory;
        }
        logger.error("表名为空！");
        return null;
    }
    
    /**
     * jdbc Trident 读取数据
     * @param outputFields 输出列表
     * @param queryParamColumns    占位符字段
     * @param sqlString 查询语句
     * @return
     */
    public static JdbcStateFactory getJdbcSelectState(Fields outputFields,List<Column> queryParamColumns,String sqlString){
        if(outputFields!=null&&queryParamColumns!=null&&sqlString!=null&&outputFields.size()>0&&queryParamColumns.size()>0&&Objects.equals(sqlString,"")){
            SimpleJdbcLookupMapper lookupMapper = new SimpleJdbcLookupMapper(outputFields, queryParamColumns);
            JdbcState.Options options = new JdbcState.Options()
                    .withConnectionProvider(cp)
                    .withJdbcLookupMapper(lookupMapper)
                    .withSelectQuery(sqlString)
                    .withQueryTimeoutSecs(30);
            JdbcStateFactory jdbcStateFactory = new JdbcStateFactory(options);
            return jdbcStateFactory;
        }
        logger.error("输出字段，输入字段集合，sql查询语句都不能为空！");
        return null;
    }
    
}

测试类：

import java.util.List;
import java.util.UUID;

import org.apache.storm.Config;
import org.apache.storm.LocalCluster;
import org.apache.storm.jdbc.bolt.JdbcLookupBolt;
import org.apache.storm.jdbc.common.Column;
import org.apache.storm.jdbc.trident.state.JdbcStateFactory;
import org.apache.storm.jdbc.trident.state.JdbcUpdater;
import org.apache.storm.topology.TopologyBuilder;
import org.apache.storm.trident.Stream;
import org.apache.storm.trident.TridentState;
import org.apache.storm.trident.TridentTopology;
import org.apache.storm.tuple.Fields;
import java.sql.Types;
import com.google.common.collect.Lists;
import com.sunsheen.jfids.bigdata.storm.bolt.JdbcOperationBolt;
import com.sunsheen.jfids.bigdata.storm.trident.JdbcTridentStates;
/**
 * @author cwc
 * @date 2018年9月31日  
 * @description: storm集成Jdbc读写测试类
 * @version 3.0.0 
 */
public class JdbcMain {
    
    private static String insterSql=" insert into jdbc_test(name,age,sex) values (?,?,?) ";
    private static String selectSql="select age,sex from jdbc_test where name = ?";
    private static String tableName="jdbc_test";
    private static Fields outputFields = new Fields("age", "sex");//就是查询出的数据
    
    private static List<Column> queryParamColumns = Lists.newArrayList(new Column("name", Types.VARCHAR));//占位符的字段
    
    private static List<Column> columnSchema = Lists.newArrayList(
            new Column("name", java.sql.Types.VARCHAR),
            new Column("age", java.sql.Types.INTEGER),
             new Column("sex", java.sql.Types.INTEGER));
    
    
    public static void main(String[] args){
            JdbcWrite(columnSchema,insterSql,tableName);
            JdbcTrident(columnSchema,insterSql,tableName);
            JdbcRead(outputFields,queryParamColumns,selectSql);
            JdbcReadTrident(outputFields,queryParamColumns,selectSql);
    }
    
    /**
     * 通过jdbc的方式向数据库写数据
     * @param connectionProvider 连接数据库
     * @param columnSchema 需要插入的列名
     * @param sqlString 配合列名进行字段插入
     * @param tableName 通过表名整表插入
     */
    public static void JdbcWrite(List<Column> columnSchema,String sqlString,String tableName){
        Config conf = new Config();
        
        TopologyBuilder builder = new TopologyBuilder();
        builder.setSpout("jdbc-save", new JdbcSpout(), 2);
        builder.setBolt("save", JdbcOperationBolt.getInsertBolt(tableName), 1).shuffleGrouping("jdbc-save");//getInsertBolt根据参数的不同，切换字段或全表插入的模式
        
        LocalCluster cluster = new LocalCluster();
        cluster.submitTopology("test", conf, builder.createTopology());
        try {
            Thread.sleep(100000);
        } catch (InterruptedException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
        cluster.shutdown();
    }
    
    /**
     * 通过jdbc Trident的方式向数据库写数据
     * @param connectionProvider 连接数据库
     * @param columnSchema 需要插入的列名
     * @param sqlString 配合列名进行字段插入
     * @param tableName 通过表名整表插入
     */
    public static void  JdbcTrident(List<Column> columnSchema,String sqlString,String tableName){
        TridentTopology topology = new TridentTopology();
        Config config = new Config();
        
//        JdbcStateFactory jdbcStateFactory=JdbcTridentStates.getJdbcStateFactory(columnSchema, insterSql);//字段插入
        JdbcStateFactory jdbcStateFactory=JdbcTridentStates.getJdbcStateFactory(tableName);
        
        Stream stream = topology.newStream(UUID.randomUUID().toString(), new JdbcSpout());
        TridentState state = topology.newStaticState(jdbcStateFactory);
        
        //将数据更新插入数据库  jdbcStateFactory 根据设置的表名更新到对应的数据库 批处理 一批一批的插入
        stream.partitionPersist(jdbcStateFactory, new Fields("name", "age","sex"), new JdbcUpdater(), new Fields());
       
        LocalCluster cluster = new LocalCluster();
        cluster.submitTopology(UUID.randomUUID().toString(), config, topology.build());
        try {
            Thread.sleep(100000);
        } catch (InterruptedException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }//这个时为了防止你忘记关闭程序，造成内存爆炸，但是不要设置时间太小，太小程序没跑完就终止了，要报错。
        cluster.shutdown();
    }
    
    /**
     * 读数据
     * @param connectionProvider
     */
    public static void JdbcRead(Fields outputFields,List<Column> queryParamColumns,String selectSql){
        JdbcLookupBolt JdbcLookupBolt = JdbcOperationBolt.getJdbcLookupBolt(outputFields, queryParamColumns, selectSql);
        
        TopologyBuilder builder = new TopologyBuilder();
        builder.setSpout("jdbc-reader", new JdbcSpout(), 2);
        builder.setBolt("read",  JdbcLookupBolt, 1).shuffleGrouping("jdbc-reader");
        builder.setBolt("JdbcOutBolt",new JdbcOutBolt(), 1).shuffleGrouping("read");
        Config conf = new Config();
        
        LocalCluster cluster = new LocalCluster();
        cluster.submitTopology(UUID.randomUUID().toString(), conf, builder.createTopology());
        try {
            Thread.sleep(100000);
        } catch (InterruptedException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }//这个时为了防止你忘记关闭程序，造成内存爆炸，但是不要设置时间太小，太小程序没跑完就终止了，要报错。
            cluster.shutdown();        
    }
    
    /**
     * jdbc Trident 查询数据 
     * @param outputFields 要输出传递的字段，这里的字段是storm中随便命名的不是数据库字段
     * @param queryParamColumns 占位符的字段，也就是spout传出过来的字段，通过该字段查询数据
     * @param selectSql 查询语句，这里sql已经把字段名固定了，上面的字段名都是形参用于传输
     */
    public static void JdbcReadTrident(Fields outputFields,List<Column> queryParamColumns,String selectSql){
        TridentTopology topology = new TridentTopology();
        JdbcStateFactory jdbcStateFactory = JdbcTridentStates.getJdbcSelectState(outputFields, queryParamColumns, selectSql);
        
        Stream stream = topology.newStream(UUID.randomUUID().toString(), new JdbcSpout());
        TridentState state = topology.newStaticState(jdbcStateFactory);
//         stream.partitionPersist(jdbcStateFactory, outputFields, new JdbcUpdater(),outputFields);//这里可以根据自己需要进行处理
        
        Config conf = new Config();
        LocalCluster cluster = new LocalCluster();
        cluster.submitTopology(UUID.randomUUID().toString(), conf, topology.build());
        try {
            Thread.sleep(100000);
        } catch (InterruptedException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }//这个时为了防止你忘记关闭程序，造成内存爆炸，但是不要设置时间太小，太小程序没跑完就终止了，要报错。
            cluster.shutdown();        
    }
    
    
}

 补充：打印读取出来的数据

import java.util.Map;
import org.apache.storm.task.OutputCollector;
import org.apache.storm.task.TopologyContext;
import org.apache.storm.topology.OutputFieldsDeclarer;
import org.apache.storm.topology.base.BaseRichBolt;
import org.apache.storm.tuple.Fields;
import org.apache.storm.tuple.Tuple;

/**
 * @author cwc
 * @date 2018年5月30日  
 * @description:打印拿到的数据
 * @version 1.0.0 
 */
public class JdbcOutBolt extends BaseRichBolt{

    private OutputCollector collector;
    @Override
    public void execute(Tuple tuple) {
        
                Object str =tuple.getValue(0);
                Object str2 =tuple.getInteger(1);
                System.out.println(str+"-->"+str2);
                
    }

    @Override
    public void prepare(Map arg0, TopologyContext arg1, OutputCollector collector) {
        // TODO Auto-generated method stub
        this.collector=collector;
    }

    @Override
    public void declareOutputFields(OutputFieldsDeclarer declarer) {
        declarer.declare(new Fields("JdbcOutBolt"));
    }
    
    
}

主要内容大家看代码就清楚了，有问题大家可以在我博客下留言。