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命令模式在Spring源码中是如何使用的?

命令模式在Spring源码中是如何使用的?
  • 📋 模式定义
  • 🏗️ UML类图
  • 🌟 Spring中的命令模式
    • 1. `JdbcTemplate` 回调(Command对象)
    • 2. `TaskExecutor` / `AsyncTaskExecutor` - 异步命令
    • 3. `Runnable`事务命令
    • 4. `Action` / `Callback` 命令
    • 5. `ResourceEditor` / `PropertyEditor` - 属性编辑命令
  • 🔄 命令 vs 策略
  • 练习
    • 练习1:自定义JdbcTemplate
    • 练习2:命令队列
  • 下一步
  • 参考

📋 模式定义

将请求封装为对象,从而使你可以用不同的请求对客户端进行参数化,并支持请求的队列、记录和撤销操作。

Spring核心应用:JdbcTemplate回调、TaskExecutorAsyncRestTemplate


🏗️ UML类图

classDiagram
    class Command {
        <<interface>>
        +execute() void
        +undo() void
    }
    class ConcreteCommand {
        -receiver: Receiver
        +execute() void
        +undo() void
    }
    class Invoker {
        -command: Command
        +set_command(cmd) void
        +execute() void
    }
    class Receiver {
        +action() void
        +undo_action() void
    }

    Command <|-- ConcreteCommand : 实现
    ConcreteCommand --> Receiver : 持有
    Invoker --> Command : 调用

🌟 Spring中的命令模式

1. JdbcTemplate 回调(Command对象)

// JdbcTemplate将SQL操作封装为Command对象(回调)

// Command接口
publicinterfacePreparedStatementCallback<T{
doInPreparedStatement(PreparedStatement ps)throws SQLException, DataAccessException;
}

publicinterfaceRowMapper<T{
mapRow(ResultSet rs, int rowNum)throws SQLException;
}

publicinterfaceResultSetExtractor<T{
extractData(ResultSet rs)throws SQLException, DataAccessException;
}

// ConcreteCommand: PreparedStatementCreator
publicinterfacePreparedStatementCreator{
PreparedStatement createPreparedStatement(Connection con)throws SQLException;
}

// 使用:JdbcTemplate执行(Invoker)
jdbcTemplate.query(
"SELECT * FROM users WHERE age > ? AND status = ?",
new PreparedStatementSetter() {
@Override
publicvoidsetValues(PreparedStatement ps)throws SQLException {
            ps.setInt(118);
            ps.setString(2"ACTIVE");
        }
    },
new RowMapper<User>() {
@Override
public User mapRow(ResultSet rs, int rowNum)throws SQLException {
returnnew User(rs.getLong("id"), rs.getString("name"));
        }
    }
);

// 内部执行流程:
// 1. JdbcTemplate(Invoker)接收回调对象(Command)
// 2. 获取Connection
// 3. 执行PreparedStatementCallback(执行Command)
// 4. 返回结果

// ✅ Client(调用方)只需提供回调对象(Command),不关心执行流程
// ✅ JdbcTemplate统一管理连接、异常、资源(Invoker职责)

JdbcTemplate核心方法:

publicclassJdbcTemplate{
public <T> query(String sql, RowMapper<T> rowMapper){
return query(sql, (ResultSet rs) -> {
            List<T> results = new ArrayList<>();
int rowNum = 0;
while (rs.next()) {
                results.add(rowMapper.mapRow(rs, rowNum++));
            }
return results;
        });
    }

public <T> query(String sql, ResultSetExtractor<T> rse){
return execute(con -> {
            PreparedStatement ps = con.prepareStatement(sql);
try {
                ResultSet rs = ps.executeQuery();
try {
return rse.extractData(rs);
                } finally {
                    DataSourceUtils.closeResultSet(rs);
                }
            } finally {
                DataSourceUtils.closeStatement(ps);
            }
        });
    }

public <T> execute(PreparedStatementCallback<T> action){
        DataSource ds = getDataSource();
        Connection con = DataSourceUtils.getConnection(ds);
try {
            PreparedStatement ps = con.prepareStatement(sql);
try {
return action.doInPreparedStatement(ps);  // 调用Command
            } finally {
                DataSourceUtils.closeStatement(ps);
            }
        } finally {
            DataSourceUtils.releaseConnection(con, ds);
        }
    }
}

// 匿名内部类实现Command
jdbcTemplate.execute((PreparedStatementCallback<Boolean>) ps -> {
    ps.setString(1"test");
return ps.execute();
});

2. TaskExecutor / AsyncTaskExecutor - 异步命令

// Spring任务执行:将任务封装为Command执行

// Command: Runnable/Callable
Runnable task = () -> {
// 任务逻辑
    System.out.println("执行任务");
};

// Invoker: TaskExecutor
TaskExecutor executor = new SimpleAsyncTaskExecutor();
executor.execute(task);  // 异步执行

// 更丰富的Command
Callable<String> callable = () -> {
    Thread.sleep(1000);
return"任务完成";
};

Future<String> future = executor.submit(callable);  // 执行命令
String result = future.get();  // 获取结果(阻塞)

// AsyncTaskExecutor支持Callable
publicinterfaceAsyncTaskExecutorextendsTaskExecutor{
    <T> Future<T> submit(Callable<T> task);
    <T> Future<T> submit(Runnable task, T result);
}

// ThreadPoolTaskExecutor实现
publicclassThreadPoolTaskExecutorextendsExecutorConfigurationSupport
implementsAsyncListenableTaskExecutorScopedTaskExecutor
{
private ThreadPoolExecutor threadPoolExecutor;

@Override
publicvoidexecute(Runnable task){
this.threadPoolExecutor.execute(task);  // 池中执行
    }

@Override
public <T> Future<T> submit(Callable<T> task){
returnthis.threadPoolExecutor.submit(task);
    }
}

// 使用:Spring @Async注解(@Async → AsyncAnnotationBeanPostProcessor → 代理 → TaskExecutor)
@Service
publicclassEmailService{
@Async// 声明式异步命令
public CompletableFuture<Void> sendEmail(String to, String content){
// 该方法被包装为AsyncTaskExecutor.execute()
        mailSender.send(to, content);
return CompletableFuture.completedFuture(null);
    }
}

// 异步命令流程:
// 1. EmailService被代理(SimpleAsyncTaskExecutor#submit
// 2. @Async方法提交到线程池
// 3. 主线程立即返回CompletableFuture
// 4. 工作线程执行sendEmail()

3. Runnable事务命令

// Spring事务模板:TransactionTemplate使用Command模式

// Command: TransactionCallback
publicinterfaceTransactionCallback<T{
doInTransaction(TransactionStatus status);
}

// 使用
TransactionTemplate template = new TransactionTemplate(transactionManager);
String result = template.execute(status -> {
// Command执行体
    jdbcTemplate.update("INSERT INTO orders ...");
    jdbcTemplate.update("INSERT INTO order_items ...");
return"订单创建成功";
});

// 支持回滚:throw RuntimeException自动回滚
String result = template.execute(status -> {
try {
        jdbcTemplate.update("UPDATE inventory SET count = count - 1");
int rows = jdbcTemplate.update("INSERT INTO orders ...");
if (rows == 0) {
thrownew RuntimeException("创建订单失败");
        }
return"OK";
    } catch (Exception e) {
        status.setRollbackOnly();  // 命令内部明确回滚
throw e;
    }
});

4. Action / Callback 命令

// Spring Boot Actuator:HealthIndicator命令模式

// Command: HealthIndicator
publicinterfaceHealthIndicator{
Health health();
}

// 具体命令:DataSourceHealthIndicator
@Component
publicclassDataSourceHealthIndicatorextendsAbstractRelationalHealthIndicator{
@Override
protectedvoiddoHealthCheck(Builder builder)throws Exception {
        DataSource dataSource = getDataSource();
try (Connection conn = DataSourceUtils.getConnection(dataSource)) {
            DatabaseMetaData metaData = conn.getMetaData();
            builder.up()
                .withDetail("database", metaData.getDatabaseProductName())
                .withDetail("version", metaData.getDatabaseProductVersion());
        }
    }
}

// 具体命令:RedisHealthIndicator
@Component
publicclassRedisHealthIndicatorextendsAbstractHealthIndicator{
@Override
protectedvoiddoHealthCheck(Builder builder)throws Exception {
        RedisConnectionFactory factory = getRedisConnectionFactory();
try (RedisConnection conn = factory.getConnection()) {
            String info = conn.info();
            builder.up().withDetail("info", info);
        }
    }
}

// Invoker: HealthEndpoint
@Component
publicclassHealthEndpoint{
privatefinal Map<String, HealthIndicator> indicators;

@Autowired
publicHealthEndpoint(List<HealthIndicator> indicatorList){
this.indicators = new LinkedHashMap<>();
for (HealthIndicator indicator : indicatorList) {
            String name = indicator.getClass().getSimpleName().replace("HealthIndicator""").toLowerCase();
this.indicators.put(name, indicator);
        }
    }

public Health health(){
        HealthAggregator aggregator = new SimpleHealthAggregator();
return aggregator.aggregate(this.indicators);
    }

public Health healthForPath(String path){
        HealthIndicator indicator = this.indicators.get(path);
if (indicator != null) {
return indicator.health();
        }
return health();
    }
}

// 使用:/actuator/health触发所有HealthIndicator命令
// GET /actuator/health/datasource → DataSourceHealthIndicator.health()
// GET /actuator/health/redis → RedisHealthIndicator.health()

5. ResourceEditor / PropertyEditor - 属性编辑命令

// 类型转换:String → Object(命令模式)

// Command: PropertyEditor
publicinterfacePropertyEditor{
voidsetAsText(String text)throws IllegalArgumentException;
String getAsText();
voidsetValue(Object value);
Object getValue();
}

// 具体命令:CustomDateEditor
publicclassCustomDateEditorextendsPropertyEditorSupportimplementsPropertyEditor{
privatefinal DateFormat dateFormat;
privatefinalboolean allowEmpty;

@Override
publicvoidsetAsText(String text)throws IllegalArgumentException {
if (this.allowEmpty && !StringUtils.hasText(text)) {
            setValue(null);
        } else {
try {
                setValue(this.dateFormat.parse(text));
            } catch (ParseException ex) {
thrownew IllegalArgumentException("无效日期格式: " + text, ex);
            }
        }
    }

@Override
public String getAsText(){
        Object value = getValue();
return (value instanceof Date ? this.dateFormat.format((Date) value) : "");
    }
}

// 具体命令:StringTrimmerEditor
publicclassStringTrimmerEditorextendsPropertyEditorSupport{
@Override
publicvoidsetAsText(String text)throws IllegalArgumentException {
if (text == null) {
            setValue(null);
        } else {
            String trimmed = text.trim();
            setValue(trimmed.isEmpty() ? null : trimmed);
        }
    }
}

// Invoker: BeanWrapperImpl
publicclassBeanWrapperImpl{
private PropertyEditorRegistry registry;

publicvoidsetPropertyValue(String propertyName, String value){
        PropertyEditor editor = findCustomEditor(propertyType);
if (editor != null) {
            editor.setAsText(value);  // 执行命令:String → Object
            setPropertyValue(propertyName, editor.getValue());
        }
    }
}

// 使用:Spring自动转换参数
@GetMapping("/users")
public String createUser(@RequestParam @DateTimeFormat(pattern = "yyyy-MM-dd") Date birth) {
// String "1990-01-01" → Date 通过CustomDateEditor(命令)
}

🔄 命令 vs 策略

对比项
命令模式
策略模式
目的
封装操作(支持队列、撤销)
封装算法(运行时切换)
方法
execute() + 可选undo()
algorithm()
状态
通常包含Receiver
无Receiver,纯算法
Spring应用
Runnable
CallablePreparedStatementCallback
Sort
CacheResolver

Spring Command:Spring将很多回调接口设计为命令模式 • Runnable/Callable - 任务命令

• PreparedStatementCallback - SQL命令

• RowMapper - 结果集映射命令

• HealthIndicator - 健康检查命令

• PropertyEditor - 类型转换命令


练习

练习1:自定义JdbcTemplate

// 简化版JdbcTemplate,练习命令模式

publicclassSimpleJdbcTemplate{
privatefinal DataSource dataSource;

public <T> query(String sql, RowCallback<T> callback){
try (Connection conn = dataSource.getConnection();
             PreparedStatement ps = conn.prepareStatement(sql);
             ResultSet rs = ps.executeQuery()) {

            T result = callback.doInRow(rs);
return result;

        } catch (SQLException e) {
thrownew DataAccessException("查询失败", e);
        }
    }
}

// 使用
SimpleJdbcTemplate template = new SimpleJdbcTemplate(dataSource);
List<User> users = template.query("SELECT * FROM users", rs -> {
    List<User> list = new ArrayList<>();
while (rs.next()) {
        list.add(new User(rs.getLong("id"), rs.getString("name")));
    }
return list;
});

练习2:命令队列

// 实现命令队列,支持批量执行和撤销

publicinterfaceCommand{
voidexecute();
voidundo();
}

publicclassCommandQueue{
privatefinal Stack<Command> history = new Stack<>();

publicvoidaddCommand(Command cmd){
        cmd.execute();
        history.push(cmd);
    }

publicvoidundoLast(){
if (!history.isEmpty()) {
            history.pop().undo();
        }
    }

publicvoidexecuteBatch(List<Command> commands){
for (Command cmd : commands) {
            cmd.execute();
            history.push(cmd);
        }
    }
}

下一步

✅ 掌握命令模式后,继续学习:

👉 解释器模式


参考

• 🌐 Spring Framework - PreparedStatementCallback

• 🌐 Spring Framework - TaskExecutor

• 🌐 Spring Framework - HealthIndicator

基本 文件 流程 错误 SQL 调试
  1. 请求信息 : 2026-05-22 16:10:06 HTTP/1.1 GET : https://www.yeyulingfeng.com/a/649436.html
  2. 运行时间 : 0.198727s [ 吞吐率:5.03req/s ] 内存消耗:4,772.49kb 文件加载:145
  3. 缓存信息 : 0 reads,0 writes
  4. 会话信息 : SESSION_ID=33590e043a4801cdd17f5e963fd330b2
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  1. CONNECT:[ UseTime:0.001052s ] mysql:host=127.0.0.1;port=3306;dbname=wenku;charset=utf8mb4
  2. SHOW FULL COLUMNS FROM `fenlei` [ RunTime:0.001975s ]
  3. SELECT * FROM `fenlei` WHERE `fid` = 0 [ RunTime:0.000649s ]
  4. SELECT * FROM `fenlei` WHERE `fid` = 63 [ RunTime:0.000537s ]
  5. SHOW FULL COLUMNS FROM `set` [ RunTime:0.001315s ]
  6. SELECT * FROM `set` [ RunTime:0.000452s ]
  7. SHOW FULL COLUMNS FROM `article` [ RunTime:0.001232s ]
  8. SELECT * FROM `article` WHERE `id` = 649436 LIMIT 1 [ RunTime:0.000988s ]
  9. UPDATE `article` SET `lasttime` = 1779437406 WHERE `id` = 649436 [ RunTime:0.005168s ]
  10. SELECT * FROM `fenlei` WHERE `id` = 64 LIMIT 1 [ RunTime:0.000775s ]
  11. SELECT * FROM `article` WHERE `id` < 649436 ORDER BY `id` DESC LIMIT 1 [ RunTime:0.001468s ]
  12. SELECT * FROM `article` WHERE `id` > 649436 ORDER BY `id` ASC LIMIT 1 [ RunTime:0.001240s ]
  13. SELECT * FROM `article` WHERE `id` < 649436 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.002472s ]
  14. SELECT * FROM `article` WHERE `id` < 649436 ORDER BY `id` DESC LIMIT 10,10 [ RunTime:0.001764s ]
  15. SELECT * FROM `article` WHERE `id` < 649436 ORDER BY `id` DESC LIMIT 20,10 [ RunTime:0.003729s ]
0.202657s