java中join的使用

java中join的使用

join()应该是我们在java中经常会用到的一个方法,它主要是将当前线程置为WAITTING状态,然后等待调用的线程执行完毕或被interrupted。

join()是Thread中定义的方法,我们看下他的定义:

   /**
     * Waits for this thread to die.
     *
     * <p> An invocation of this method behaves in exactly the same
     * way as the invocation
     *
     * <blockquote>
     * {@linkplain #join(long) join}{@code (0)}
     * </blockquote>
     *
     * @throws  InterruptedException
     *          if any thread has interrupted the current thread. The
     *          <i>interrupted status</i> of the current thread is
     *          cleared when this exception is thrown.
     */
    public final void join() throws InterruptedException {
        join(0);
    }

我们看下join是怎么使用的,通常我们需要在线程A中调用线程B.join():

public class JoinThread implements Runnable{
    public int processingCount = 0;

    JoinThread(int processingCount) {
        this.processingCount = processingCount;
        log.info("Thread Created");
    }

    @Override
    public void run() {
        log.info("Thread " + Thread.currentThread().getName() + " started");
        while (processingCount > 0) {
            try {
                Thread.sleep(1000);
            } catch (InterruptedException e) {
                log.info("Thread " + Thread.currentThread().getName() + " interrupted");
            }
            processingCount--;
        }
        log.info("Thread " + Thread.currentThread().getName() + " exiting");
    }

    @Test
    public void joinTest()
            throws InterruptedException {
        Thread t2 = new Thread(new JoinThread(1));
        t2.start();
        log.info("Invoking join");
        t2.join();
        log.info("Returned from join");
        log.info("t2 status {}",t2.isAlive());
    }
}

我们在主线程中调用了t2.join(),则主线程将会等待t2执行完毕,我们看下输出结果:

06:17:14.775 [main] INFO com.flydean.JoinThread - Thread Created
06:17:14.779 [main] INFO com.flydean.JoinThread - Invoking join
06:17:14.779 [Thread-0] INFO com.flydean.JoinThread - Thread Thread-0 started
06:17:15.783 [Thread-0] INFO com.flydean.JoinThread - Thread Thread-0 exiting
06:17:15.783 [main] INFO com.flydean.JoinThread - Returned from join
06:17:15.783 [main] INFO com.flydean.JoinThread - t2 status false

当线程已经执行完毕或者还没开始执行的时候,join()将会立即返回:

Thread t1 = new SampleThread(0);
t1.join();  //returns immediately

join还有两个带时间参数的方法:

public final void join(long millis) throws InterruptedException
public final void join(long millis,int nanos) throws InterruptedException

如果在给定的时间内调用的线程没有返回,则主线程将会继续执行:

    @Test
    public void testJoinTimeout()
            throws InterruptedException {
        Thread t3 =  new Thread(new JoinThread(10));
        t3.start();
        t3.join(1000);
        log.info("t3 status {}", t3.isAlive());
    }

上面的例子将会输出:

06:30:58.159 [main] INFO com.flydean.JoinThread - Thread Created
06:30:58.163 [Thread-0] INFO com.flydean.JoinThread - Thread Thread-0 started
06:30:59.172 [main] INFO com.flydean.JoinThread - t3 status true

Join()还有个happen-before的特性,这就是如果thread t1调用 t2.join(), 那么当t2返回时,所有t2的变动都会t1可见。

之前我们讲volatile关键词的时候也提到了这个happen-before规则。 我们看下例子:

    @Test
    public void testHappenBefore() throws InterruptedException {
        JoinThread t4 =  new JoinThread(10);
        t4.start();
        // not guaranteed to stop even if t4 finishes.
        do {
            log.info("inside the loop");
            Thread.sleep(1000);
        } while ( t4.processingCount > 0);
    }

我们运行下,可以看到while循环一直在进行中,即使t4中的变量已经变成了0。

所以如果我们需要在这种情况下使用的话,我们需要用到join(),或者其他的同步机制。

本文的例子可以参考https://github.com/ddean2009/learn-java-concurrency/tree/master/join

更多精彩内容且看:

更多教程请参考 flydean的博客

<think> 在Java使用INNER JOIN通常涉及两个层面:在SQL查询中直接使用JOIN语句,或者在应用层使用Java代码模拟JOIN操作。下面分别给出两种方式的示例和解释。 ### 1. 在SQL查询中使用INNER JOIN(推荐方式) 这是最高效的方式,直接让数据库执行JOIN操作。 ```java import java.sql.*; public class InnerJoinExample { public static void main(String[] args) { String url = "jdbc:mysql://localhost:3306/mydatabase"; String user = "username"; String password = "password"; String sql = "SELECT e.id, e.name, e.department_id, d.department_name " + "FROM employees e " + "INNER JOIN departments d ON e.department_id = d.id"; try (Connection conn = DriverManager.getConnection(url, user, password); Statement stmt = conn.createStatement(); ResultSet rs = stmt.executeQuery(sql)) { while (rs.next()) { int empId = rs.getInt("id"); String empName = rs.getString("name"); int deptId = rs.getInt("department_id"); String deptName = rs.getString("department_name"); System.out.println("ID: " + empId + ", Name: " + empName + ", Department ID: " + deptId + ", Department: " + deptName); } } catch (SQLException e) { e.printStackTrace(); } } } ``` **解释:** - 我们使用标准的SQL `INNER JOIN` 语法连接`employees`表和`departments`表。 - 连接条件是 `e.department_id = d.id`,即员工表中的部门ID与部门表的主键匹配。 - 在Java中,我们通过JDBC执行这个SQL查询,然后遍历结果集。 - 这种方式只需要一次数据库访问,效率高。 ### 2. 在应用层模拟INNER JOIN(不推荐,特殊场景使用) 当无法直接使用数据库JOIN(如分库分表)时,可以在应用层模拟JOIN操作。 ```java import java.sql.*; import java.util.*; public class ApplicationLayerJoin { public static void main(String[] args) { String url = "jdbc:mysql://localhost:3306/mydatabase"; String user = "username"; String password = "password"; // 第一步:获取所有部门 Map<Integer, String> departments = new HashMap<>(); String deptSql = "SELECT id, department_name FROM departments"; // 第二步:获取所有员工 List<Employee> employees = new ArrayList<>(); String empSql = "SELECT id, name, department_id FROM employees"; try (Connection conn = DriverManager.getConnection(url, user, password)) { // 获取部门数据 try (Statement deptStmt = conn.createStatement(); ResultSet deptRs = deptStmt.executeQuery(deptSql)) { while (deptRs.next()) { int id = deptRs.getInt("id"); String deptName = deptRs.getString("department_name"); departments.put(id, deptName); } } // 获取员工数据 try (Statement empStmt = conn.createStatement(); ResultSet empRs = empStmt.executeQuery(empSql)) { while (empRs.next()) { int id = empRs.getInt("id"); String name = empRs.getString("name"); int deptId = empRs.getInt("department_id"); employees.add(new Employee(id, name, deptId)); } } // 第三步:在应用层进行JOIN for (Employee emp : employees) { String deptName = departments.get(emp.getDepartmentId()); if (deptName != null) { // 相当于INNER JOIN,只关联存在的部门 System.out.println("ID: " + emp.getId() + ", Name: " + emp.getName() + ", Department ID: " + emp.getDepartmentId() + ", Department: " + deptName); } } } catch (SQLException e) { e.printStackTrace(); } } } class Employee { private int id; private String name; private int departmentId; public Employee(int id, String name, int departmentId) { this.id = id; this.name = name; this.departmentId = departmentId; } // Getters public int getId() { return id; } public String getName() { return name; } public int getDepartmentId() { return departmentId; } } ``` **解释:** - 这种方法需要两次数据库查询:第一次获取所有部门数据,第二次获取所有员工数据。 - 在内存中使用Map存储部门信息(以部门ID为键)。 - 遍历员工列表,通过部门ID在Map中查找对应的部门名称。 - 注意:这里只输出有对应部门的员工,模拟了INNER JOIN的行为。 - 缺点:当数据量很大时,内存消耗高,且需要两次数据库访问。 ## 使用JPA/Hibernate实现INNER JOIN 如果使用ORM框架(如Hibernate),可以通过实体关联和JPQL实现INNER JOIN。 ### 实体类示例 ```java @Entity @Table(name = "employees") public class Employee { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; private String name; @ManyToOne @JoinColumn(name = "department_id") private Department department; // getters and setters } @Entity @Table(name = "departments") public class Department { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; private String departmentName; // getters and setters } ``` ### JPQL查询 ```java public class EmployeeDAO { @PersistenceContext private EntityManager em; public List<Employee> getEmployeesWithDepartment() { String jpql = "SELECT e FROM Employee e INNER JOIN e.department d"; TypedQuery<Employee> query = em.createQuery(jpql, Employee.class); return query.getResultList(); } } ``` **解释:** - 通过`@ManyToOne`注解定义员工和部门之间的多对一关系。 - JPQL中使用`INNER JOIN`(可以省略INNER,因为默认就是INNER JOIN)。 - 框架会自动生成包含JOIN的SQL语句。 ## 总结 - **直接JDBC+SQL JOIN**:最高效,适用于性能要求高的场景。 - **应用层JOIN**:仅在无法使用数据库JOIN使用(如分库分表)。 - **ORM框架**:开发效率高,适合复杂对象关系映射。 在绝大多数情况下,优先选择在数据库层面使用INNER JOIN。 §§相关问题§§: 1. 在什么情况下应该避免使用INNER JOIN? 2. 如何优化大数据量下的INNER JOIN查询? 3. LEFT JOIN和INNER JOINJava中实现有什么不同? 4. 使用MyBatis如何实现复杂的多表JOIN查询? </think> # Java使用INNER JOIN的全面指南 在Java使用INNER JOIN通常涉及两种场景:直接在SQL查询中使用JOIN语句,或在应用层实现类似功能。下面我将详细介绍这两种方法并提供完整代码示例。 ## 方法1:直接在SQL中使用INNER JOIN(推荐) 这是最高效、最常用的方式,让数据库处理JOIN逻辑。 ```java import java.sql.*; public class InnerJoinExample { public static void main(String[] args) { String url = "jdbc:mysql://localhost:3306/your_database"; String user = "username"; String password = "password"; // 使用try-with-resources确保资源正确关闭 try (Connection conn = DriverManager.getConnection(url, user, password)) { // 包含INNER JOIN的SQL查询 String sql = "SELECT u.id, u.username, u.email, o.order_id, o.order_date, o.total_amount " + "FROM users u " + "INNER JOIN orders o ON u.id = o.user_id " + "WHERE u.account_status = 'ACTIVE'"; try (PreparedStatement stmt = conn.prepareStatement(sql); ResultSet rs = stmt.executeQuery()) { System.out.println("用户订单信息:"); System.out.println("ID\t用户名\t邮箱\t\t订单号\t订单日期\t\t订单金额"); while (rs.next()) { int userId = rs.getInt("id"); String username = rs.getString("username"); String email = rs.getString("email"); String orderId = rs.getString("order_id"); Date orderDate = rs.getDate("order_date"); double totalAmount = rs.getDouble("total_amount"); System.out.printf("%d\t%s\t%s\t%s\t%s\t%.2f%n", userId, username, email, orderId, orderDate, totalAmount); } } } catch (SQLException e) { System.err.println("数据库操作错误: " + e.getMessage()); e.printStackTrace(); } } } ``` **代码解释:** 1. 使用JDBC建立数据库连接 2. 创建包含INNER JOIN的SQL查询,连接`users`和`orders`表 3. 使用`PreparedStatement`防止SQL注入 4. 遍历`ResultSet`处理结果 5. 使用try-with-resources确保所有资源自动关闭 ## 方法2:应用层实现JOIN逻辑 当无法直接使用数据库JOIN(如分库分表)时,可在应用层实现类似功能: ```java import java.sql.*; import java.util.*; public class ApplicationLayerJoin { public static void main(String[] args) { String url = "jdbc:mysql://localhost:3306/your_database"; String user = "username"; String password = "password"; try (Connection conn = DriverManager.getConnection(url, user, password)) { // 第一步:获取所有用户 Map<Integer, User> userMap = new HashMap<>(); try (PreparedStatement userStmt = conn.prepareStatement("SELECT id, username, email FROM users"); ResultSet userRs = userStmt.executeQuery()) { while (userRs.next()) { int id = userRs.getInt("id"); userMap.put(id, new User( id, userRs.getString("username"), userRs.getString("email") )); } } // 第二步:获取所有订单 Map<Integer, List<Order>> ordersByUserId = new HashMap<>(); try (PreparedStatement orderStmt = conn.prepareStatement("SELECT order_id, user_id, order_date, total_amount FROM orders"); ResultSet orderRs = orderStmt.executeQuery()) { while (orderRs.next()) { int userId = orderRs.getInt("user_id"); Order order = new Order( orderRs.getString("order_id"), orderRs.getDate("order_date"), orderRs.getDouble("total_amount") ); ordersByUserId.computeIfAbsent(userId, k -> new ArrayList<>()).add(order); } } // 第三步:在应用层执行"JOIN" System.out.println("用户订单信息:"); for (Map.Entry<Integer, User> entry : userMap.entrySet()) { User user = entry.getValue(); List<Order> orders = ordersByUserId.getOrDefault(user.getId(), Collections.emptyList()); if (!orders.isEmpty()) { for (Order order : orders) { System.out.printf("用户: %s (%s), 订单: %s, 日期: %s, 金额: %.2f%n", user.getUsername(), user.getEmail(), order.getOrderId(), order.getOrderDate(), order.getTotalAmount()); } } } } catch (SQLException e) { System.err.println("数据库操作错误: " + e.getMessage()); e.printStackTrace(); } } } // 辅助类 class User { private int id; private String username; private String email; public User(int id, String username, String email) { this.id = id; this.username = username; this.email = email; } public int getId() { return id; } public String getUsername() { return username; } public String getEmail() { return email; } } class Order { private String orderId; private Date orderDate; private double totalAmount; public Order(String orderId, Date orderDate, double totalAmount) { this.orderId = orderId; this.orderDate = orderDate; this.totalAmount = totalAmount; } public String getOrderId() { return orderId; } public Date getOrderDate() { return orderDate; } public double getTotalAmount() { return totalAmount; } } ``` **代码解释:** 1. 分别查询用户表和订单表 2. 使用Map存储用户数据(键为用户ID) 3. 使用Map存储订单数据(键为用户ID,值为订单列表) 4. 在应用层遍历用户,查找对应的订单 5. 模拟INNER JOIN行为(只返回有订单的用户) ## 使用JPA/Hibernate实现INNER JOIN 如果你使用JPA(如Hibernate),可以这样实现: ```java import javax.persistence.*; import java.util.List; public class JpaJoinExample { public static void main(String[] args) { EntityManagerFactory emf = Persistence.createEntityManagerFactory("your-persistence-unit"); EntityManager em = emf.createEntityManager(); try { // 使用JPQL实现INNER JOIN String jpql = "SELECT u, o FROM User u INNER JOIN u.orders o WHERE u.accountStatus = 'ACTIVE'"; TypedQuery<Object[]> query = em.createQuery(jpql, Object[].class); List<Object[]> results = query.getResultList(); for (Object[] result : results) { User user = (User) result[0]; Order order = (Order) result[1]; System.out.printf("用户: %s (%s), 订单: %s, 金额: %.2f%n", user.getUsername(), user.getEmail(), order.getOrderId(), order.getTotalAmount()); } } finally { em.close(); emf.close(); } } } @Entity @Table(name = "users") class User { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; private String username; private String email; private String accountStatus; @OneToMany(mappedBy = "user") private List<Order> orders; // Getters and setters } @Entity @Table(name = "orders") class Order { @Id private String orderId; private Date orderDate; private double totalAmount; @ManyToOne @JoinColumn(name = "user_id") private User user; // Getters and setters } ``` ## 性能优化建议 1. **使用索引**:确保JOIN条件列有索引 ```sql CREATE INDEX idx_orders_user_id ON orders(user_id); ``` 2. **仅选择必要字段**:避免SELECT * ```java String sql = "SELECT u.id, u.username, o.order_id, o.total_amount ..."; ``` 3. **批量处理**:应用层JOIN使用批量查询 ```java List<Integer> userIds = new ArrayList<>(userMap.keySet()); String orderSql = "SELECT * FROM orders WHERE user_id IN (" + userIds.stream().map(String::valueOf).collect(Collectors.joining(",")) + ")"; ``` 4. **分页处理**:处理大量数据时分页查询 ```java String sql = "SELECT ... LIMIT 100 OFFSET 0"; ``` ## 决策指南 ```mermaid graph TD A[需要表连接] --> B{表在同一个数据库?} B -->|是| C[使用SQL INNER JOIN] B -->|否| D[应用层JOIN] C --> E{数据量<10万?} E -->|是| F[直接JOIN] E -->|否| G[分页JOIN] D --> H{数据量<1万?} H -->|是| I[应用层JOIN] H -->|否| J[批量查询+缓存] ``` ## 总结 在Java使用INNER JOIN的最佳实践: 1. **首选数据库层JOIN**:使用SQL的INNER JOIN语法(最高效) 2. **应用层JOIN用于特殊场景**:分库分表、异构数据源等 3. **ORM框架提供高级抽象**:使用JPA/Hibernate简化开发 4. **始终优化查询**:添加索引、限制字段、分页处理 对于大多数情况,直接在SQL中使用INNER JOIN是最佳选择,因为它: - 减少网络往返 - 利用数据库优化器 - 简化应用代码 - 保持数据一致性
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