每日学习Java之一万个为什么

Mybatis 分步查询

如果有下一步查询计划,resultType需要改为resultMap,(只要这张表的查询大于1就用Map)并在Map中配置下一步计划在本计划中的实体类,查询列名,下一步计划方法路径。

当然,在分步查询sql设计前后我们需要设计分步查询实体类。

<resultMap id="map6" type="Score">
        <id column="cid" property="cid"/>
        <result column="cname" property="cname"/>
        <result column="uid"  property="uid"/>

        <association property="student" javaType="Student" column="sid"
                     select="com.qxy.mapper.StudentMapper.getStudentById"/>
    </resultMap>
    <select id ="getScoreByUid" resultMap="map6">
        select * from t_score where uid = #{id};
    </select>

分步查询和JOIN哪个更好?

参考

分步查询的延迟加载

lazyLoadingEnabled 延迟加载的全局开关。当开启时,所有关联对象都会延迟加载。 特定关联关系中可通过设置 fetchType 属性来覆盖该项的开关状态。 true | false false

aggressiveLazyLoading 开启时,任一方法的调用都会加载该对象的所有延迟加载属性。 否则,每个延迟加载属性会按需加载(参考 lazyLoadTriggerMethods)。 true | false false (在 3.4.1 及之前的版本中默认为 true)

动态SQL实现(一个接口有多种SQL格式)

建议 看 官网 ,非常详细

分别有 if choose where set 以及 foreach 等

批量插入传参细节

parameterType中的值 java.util.List类 和 员工类 都可以使用,但是collection的值必须与@Param别名一致。

public void testAdds(){
        SqlSession sqlSession = CreateSqlSession.getSqlSession();
        EmployeeMapper mapper = sqlSession.getMapper(EmployeeMapper.class);
        employees.add(employee1);
        employees.add(employee2);
        employees.add(employee3);
        employees.add(employee4);
        Integer i = mapper.addEmps(employees);
        sqlSession.rollback();
        Integer j = mapper.addEmps(employees);
        sqlSession.commit();
        sqlSession.close();
    }

执行上述代码后,主键是从+5开始的

public void testAdds(){
        SqlSession sqlSession = CreateSqlSession.getSqlSession();
        EmployeeMapper mapper = sqlSession.getMapper(EmployeeMapper.class);
        employees.add(employee1);
        employees.add(employee2);
        employees.add(employee3);
        employees.add(employee4);
        Integer i = mapper.addEmps(employees);
        /*sqlSession.rollback();
        Integer j = mapper.addEmps(employees);*/
        sqlSession.commit();
        sqlSession.close();
    }

如果第一次插入只做回滚并提交,,第二次批量插入还是从+5开始为什么呢?因为无论事务是否被提交,只要执行过,自增值就不会被回收。
但是通过日志有一个很有意思的新报告:

Rolling back JDBC Connection [com.mysql.cj.jdbc.ConnectionImpl@2807bdeb]
Resetting autocommit to true on JDBC Connection [com.mysql.cj.jdbc.ConnectionImpl@2807bdeb]
Closing JDBC Connection [com.mysql.cj.jdbc.ConnectionImpl@2807bdeb]
Returned connection 671596011 to pool.

commit后reset AutoCommit True以及 连接ID重复

首先Mybatis

Settings 为 true的默认值

  • cacheEnabled
  • mutipleResultSetsEnabled
  • useColumnLabel
  • safeResultHandlerEnabled
  • useActualParamName

分页插件PageHelper

第三方工具包,帮助你更便捷实现分页查询

需要在plugin中配置

ORM思想

从数据库表映射到Java实体类

Mybatis逆向工程及其插件MybatisX

可以帮助我们生成实体类表

jdbc-mybatis

参考

连接池的常见参数

基于线程池,一般有最大最小连接数,初始化连接,空闲连接数,超时时间,生命周期,验证查询。

线程池常见参数

核心线程,最大线程,存活时间,拒绝策略,任务队列

实现一个线程池

import java.util.concurrent.BlockingQueue;
import java.util.concurrent.RejectedExecutionHandler;

public interface SimpleThreadPool {
    void execute(Runnable task);
    void shutdown();
}
import java.util.HashSet;
import java.util.Set;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.LinkedBlockingQueue;
import java.util.concurrent.RejectedExecutionHandler;
import java.util.concurrent.TimeUnit;

public class SimpleThreadPoolImpl implements SimpleThreadPool {
    private final int corePoolSize;
    private final int maximumPoolSize;
    private final long keepAliveTime;
    private final TimeUnit unit;
    private final BlockingQueue<Runnable> workQueue;
    private final RejectedExecutionHandler handler;
    private final Set<Worker> workers = new HashSet<>();

    public SimpleThreadPoolImpl(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue, RejectedExecutionHandler handler) {
        this.corePoolSize = corePoolSize;
        this.maximumPoolSize = maximumPoolSize;
        this.keepAliveTime = keepAliveTime;
        this.unit = unit;
        this.workQueue = workQueue;
        this.handler = handler;
    }

    @Override
    public void execute(Runnable task) {
        if (task == null) throw new NullPointerException();

        synchronized (workers) {
            if (workers.size() < corePoolSize) {
                addWorker(task);
            } else if (!workQueue.offer(task)) {
                if (workers.size() < maximumPoolSize) {
                    addWorker(task);
                } else {
                    handler.rejectedExecution(task, this);
                }
            }
        }
    }

    private void addWorker(Runnable firstTask) {
        Worker worker = new Worker(firstTask);
        workers.add(worker);
        worker.start();
    }

    @Override
    public void shutdown() {
        for (Worker worker : workers) {
            worker.interrupt();
        }
    }

    private class Worker extends Thread {
        private Runnable firstTask;

        public Worker(Runnable firstTask) {
            this.firstTask = firstTask;
        }

        @Override
        public void run() {
            try {
                Runnable task = firstTask;
                while (task != null || !Thread.currentThread().isInterrupted()) {
                    if (task == null) {
                        task = workQueue.poll(keepAliveTime, unit);
                    }
                    if (task != null) {
                        task.run();
                        task = null;
                    }
                }
            } catch (InterruptedException e) {
                Thread.currentThread().interrupt(); // Restore interrupt status
            } finally {
                workers.remove(this);
            }
        }
    }
}
public class AbortPolicy implements RejectedExecutionHandler {
    @Override
    public void rejectedExecution(Runnable r, SimpleThreadPool executor) {
        throw new RejectedExecutionException("Task " + r.toString() + " rejected from " + executor.toString());
    }
}
import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.TimeUnit;

public class SimpleThreadPoolDemo {
    public static void main(String[] args) {
        // 配置参数
        int corePoolSize = 5;
        int maximumPoolSize = 10;
        long keepAliveTime = 60; // 秒
        BlockingQueue<Runnable> workQueue = new ArrayBlockingQueue<>(100);
        RejectedExecutionHandler handler = new AbortPolicy();

        // 创建线程池
        SimpleThreadPool threadPool = new SimpleThreadPoolImpl(
            corePoolSize,
            maximumPoolSize,
            keepAliveTime,
            TimeUnit.SECONDS,
            workQueue,
            handler
        );

        // 提交多个任务到线程池
        for (int i = 0; i < 50; i++) {
            final int taskId = i;
            threadPool.execute(() -> {
                System.out.println("Task " + taskId + " started by " + Thread.currentThread().getName());
                try {
                    // 模拟任务执行时间
                    Thread.sleep((long) (Math.random() * 5000)); // 随机睡眠0-5秒
                } catch (InterruptedException e) {
                    Thread.currentThread().interrupt();
                    System.out.println("Task " + taskId + " interrupted");
                }
                System.out.println("Task " + taskId + " completed by " + Thread.currentThread().getName());
            });
        }

        // 关闭线程池
        threadPool.shutdown();
    }
}
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