查询
方法名 查询记录总数
/**
* 查询总记录数
*
* @see Wrappers#emptyWrapper()
*/
default long count() {
return count(Wrappers.emptyWrapper());
}
方法实现
@Test
public void testGetCount(){
long count = userService.count();
System.out.println("总记录数:" + count);
}
实现的sql
==> Preparing: SELECT COUNT( * ) FROM t_user WHERE is_deleted=0
==> Parameters:
<== Columns: COUNT( * )
<== Row: 12
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@329a1f8d]
总记录数:12
根据ID查询
/**
* 根据 ID 查询
*
* @param id 主键ID
*/
default T getById(Serializable id) {
return getBaseMapper().selectById(id);
}
方法实现
@Test
public void testGetById() {
// 假设这里有一个有效的用户 ID,你可以根据实际情况修改
Long validUserId = 6L;
User user = userService.getById(validUserId);
System.out.println("查询到的用户信息: " + user);
}
sql的实现
==> Preparing: SELECT uid AS id,name,age,email,is_deleted,sex FROM t_user WHERE uid=? AND is_deleted=0
==> Parameters: 6(Long)
<== Columns: id, name, age, email, is_deleted, sex
<== Row: 6, dadaw, 18, user@qcby.com, 0, null
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@474c9131]
查询到的用户信息: User{id=6, name='dadaw', age=18, email='user@qcby.com', isDeleted=0, sex=null}
批量查询
/**
* 查询(根据ID 批量查询)
*
* @param idList 主键ID列表
*/
default List<T> listByIds(Collection<? extends Serializable> idList) {
return getBaseMapper().selectBatchIds(idList);
}
方法实现
@Test
public void testListByIds() {
// 准备要查询的主键 ID 列表
List<Long> idList = Arrays.asList(1L, 2L); // 假设这些是有效的主键值
// 调用 listByIds 方法查询用户列表
List<User> userList = userService.listByIds(idList);
// 输出结果
System.out.println("根据 ID 列表查询到的用户列表:");
userList.forEach(System.out::println);
}
sql的实现
==> Preparing: SELECT uid AS id,name,age,email,is_deleted,sex FROM t_user WHERE uid IN ( ? , ? ) AND is_deleted=0
==> Parameters: 1(Long), 2(Long)
<== Total: 0
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@3c0bbc9f]
根据 ID 列表查询到的用户列表:
根据条件进行查询
/**
* 查询(根据 columnMap 条件)
*
* @param columnMap 表字段 map 对象
*/
default List<T> listByMap(Map<String, Object> columnMap) {
return getBaseMapper().selectByMap(columnMap);
}
实现方法
@Test
public void testListByMap() {
// 准备查询条件
Map<String, Object> columnMap = new HashMap<>();
columnMap.put("age", 22);
columnMap.put("name", "admin");
// 调用 listByMap 方法查询用户列表
List<User> userList = userService.listByMap(columnMap);
// 输出结果
System.out.println("根据 Map 条件查询到的用户列表:");
userList.forEach(System.out::println);
}
sql
==> Preparing: SELECT uid AS id,name,age,email,is_deleted,sex FROM t_user WHERE name = ? AND age = ? AND is_deleted=0
==> Parameters: admin(String), 22(Integer)
<== Total: 0
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@3cb8c8ce]
根据 Map 条件查询到的用户列表:
查询并封装Map
/**
* 根据 Wrapper,查询一条记录
*
* @param queryWrapper 实体对象封装操作类 {@link com.baomidou.mybatisplus.core.conditions.query.QueryWrapper}
*/
Map<String, Object> getMap(Wrapper<T> queryWrapper);
实现
@Test
public void testGetMap() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
queryWrapper.eq("name", "admin"); // 假设数据库中有 name 为 admin 的记录
Map<String, Object> map = userService.getMap(queryWrapper);
System.out.println("查询到的 Map 信息: " + map);
}
sql
==> Preparing: SELECT uid,name,age,email,is_deleted,sex FROM t_user WHERE is_deleted=0 AND (name = ?)
==> Parameters: admin(String)
<== Columns: uid, name, age, email, is_deleted, sex
<== Row: 4, admin, 25, user@qcby.com, 0, null
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@2af4129d]
查询到的 Map 信息: {uid=4, is_deleted=false, name=admin, age=25, email=user@qcby.com}
根据Wraper查询一条记录
/**
* 根据 Wrapper,查询一条记录 <br/>
* <p>结果集,如果是多个会抛出异常,随机取一条加上限制条件 wrapper.last("LIMIT 1")</p>
*
* @param queryWrapper 实体对象封装操作类 {@link com.baomidou.mybatisplus.core.conditions.query.QueryWrapper}
*/
default T getOne(Wrapper<T> queryWrapper) {
return getOne(queryWrapper, true);
}
方法实现
@Test
public void testGetOne() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
queryWrapper.eq("name", "admin"); // 假设数据库中有 name 为 admin 的记录
User user = userService.getOne(queryWrapper);
System.out.println("查询到的用户信息: " + user);
}
sql执行
==> Preparing: SELECT uid AS id,name,age,email,is_deleted,sex FROM t_user WHERE is_deleted=0 AND (name = ?)
==> Parameters: admin(String)
<== Columns: id, name, age, email, is_deleted, sex
<== Row: 4, admin, 25, user@qcby.com, 0, null
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@2b289ac9]
查询到的用户信息: User{id=4, name='admin', age=25, email='user@qcby.com', isDeleted=0, sex=null}
查询一条,有多个抛出异常
/**
* 根据 Wrapper,查询一条记录
*
* @param queryWrapper 实体对象封装操作类 {@link com.baomidou.mybatisplus.core.conditions.query.QueryWrapper}
* @param throwEx 有多个 result 是否抛出异常
*/
T getOne(Wrapper<T> queryWrapper, boolean throwEx);
实现
@Test
public void testGetOneWithThrowEx() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
queryWrapper.eq("name", "admin"); // 假设数据库中有 name 为 admin 的记录
User user = userService.getOne(queryWrapper, true);
System.out.println("查询到的用户信息: " + user);
}
sql
==> Preparing: SELECT uid,name,age,email,is_deleted,sex FROM t_user WHERE is_deleted=0 AND (name = ?)
==> Parameters: admin(String)
<== Columns: uid, name, age, email, is_deleted, sex
<== Row: 4, admin, 25, user@qcby.com, 0, null
<== Total: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@36c0d0bd]
查询到的用户信息: User{uid=4, name='admin', age=25, email='user@qcby.com', isDeleted=0, sex=null}
查询所有
/**
* 查询所有
*
* @see Wrappers#emptyWrapper()
*/
default List<T> list() {
return list(Wrappers.emptyWrapper());
}
实现方法
@Test
public void testList() {
List<User> userList = userService.list();
System.out.println("查询到的用户列表信息: " + userList);
}
sql
==> Preparing: SELECT uid AS id,name,age,email,is_deleted,sex FROM t_user WHERE is_deleted=0
==> Parameters:
<== Columns: id, name, age, email, is_deleted, sex
<== Row: 3, Tom, 35, new_email@example.com, 0, null
<== Row: 4, admin, 25, user@qcby.com, 0, null
<== Row: 5, Billie, 24, test5@baomidou.com, 0, null
<== Row: 6, dadaw, 18, user@qcby.com, 0, null
<== Row: 7, bygnyn, 43, frefr@cweew.com, 0, null
<== Row: 10, 更新后的新用户, 29, updatednewuser@example.com, 0, null
<== Row: 13, szy0, 20, null, 0, null
<== Row: 14, szy1, 21, null, 0, null
<== Row: 15, szy2, 22, null, 0, null
<== Row: 16, szy3, 23, null, 0, null
<== Row: 17, szy4, 24, null, 0, null
<== Row: 18, 张三, 23, zhangsan@qcby.com, 0, null
<== Total: 12
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@407873d3]
查询到的用户列表信息: [User{id=3, name='Tom', age=35, email='new_email@example.com', isDeleted=0, sex=null}, User{id=4, name='admin', age=25, email='user@qcby.com', isDeleted=0, sex=null}, User{id=5, name='Billie', age=24, email='test5@baomidou.com', isDeleted=0, sex=null}, User{id=6, name='dadaw', age=18, email='user@qcby.com', isDeleted=0, sex=null}, User{id=7, name='bygnyn', age=43, email='frefr@cweew.com', isDeleted=0, sex=null}, User{id=10, name='更新后的新用户', age=29, email='updatednewuser@example.com', isDeleted=0, sex=null}, User{id=13, name='szy0', age=20, email='null', isDeleted=0, sex=null}, User{id=14, name='szy1', age=21, email='null', isDeleted=0, sex=null}, User{id=15, name='szy2', age=22, email='null', isDeleted=0, sex=null}, User{id=16, name='szy3', age=23, email='null', isDeleted=0, sex=null}, User{id=17, name='szy4', age=24, email='null', isDeleted=0, sex=null}, User{id=18, name='张三', age=23, email='zhangsan@qcby.com', isDeleted=0, sex=null}]
链式查询
/**
* 链式查询 普通
*
* @return QueryWrapper 的包装类
*/
default QueryChainWrapper<T> query() {
return ChainWrappers.queryChain(getBaseMapper());
}
实现方法
//链式查询
@Test
public void testQuery() {
QueryChainWrapper<User> queryChainWrapper = userService.query();
List<User> userList = queryChainWrapper.list();
System.out.println("链式查询结果: " + userList);
}
sql
==> Preparing: SELECT uid AS id,name,age,email,is_deleted,sex FROM t_user WHERE is_deleted=0
==> Parameters:
<== Columns: id, name, age, email, is_deleted, sex
<== Row: 3, Tom, 35, new_email@example.com, 0, null
<== Row: 4, admin, 25, user@qcby.com, 0, null
<== Row: 5, Billie, 24, test5@baomidou.com, 0, null
<== Row: 6, dadaw, 18, user@qcby.com, 0, null
<== Row: 7, bygnyn, 43, frefr@cweew.com, 0, null
<== Row: 10, 更新后的新用户, 29, updatednewuser@example.com, 0, null
<== Row: 13, szy0, 20, null, 0, null
<== Row: 14, szy1, 21, null, 0, null
<== Row: 15, szy2, 22, null, 0, null
<== Row: 16, szy3, 23, null, 0, null
<== Row: 17, szy4, 24, null, 0, null
<== Row: 18, 张三, 23, zhangsan@qcby.com, 0, null
<== Total: 12
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@4743a322]
链式查询结果: [User{id=3, name='Tom', age=35, email='new_email@example.com', isDeleted=0, sex=null}, User{id=4, name='admin', age=25, email='user@qcby.com', isDeleted=0, sex=null}, User{id=5, name='Billie', age=24, email='test5@baomidou.com', isDeleted=0, sex=null}, User{id=6, name='dadaw', age=18, email='user@qcby.com', isDeleted=0, sex=null}, User{id=7, name='bygnyn', age=43, email='frefr@cweew.com', isDeleted=0, sex=null}, User{id=10, name='更新后的新用户', age=29, email='updatednewuser@example.com', isDeleted=0, sex=null}, User{id=13, name='szy0', age=20, email='null', isDeleted=0, sex=null}, User{id=14, name='szy1', age=21, email='null', isDeleted=0, sex=null}, User{id=15, name='szy2', age=22, email='null', isDeleted=0, sex=null}, User{id=16, name='szy3', age=23, email='null', isDeleted=0, sex=null}, User{id=17, name='szy4', age=24, email='null', isDeleted=0, sex=null}, User{id=18, name='张三', age=23, email='zhangsan@qcby.com', isDeleted=0, sex=null}]
链式查询Wrapper
/**
* 链式查询 lambda 式
* <p>注意:不支持 Kotlin </p>
*
* @return LambdaQueryWrapper 的包装类
*/
default LambdaQueryChainWrapper<T> lambdaQuery() {
return ChainWrappers.lambdaQueryChain(getBaseMapper());
}
实现方法
@Test
public void testLambdaQuery() {
LambdaQueryChainWrapper<User> lambdaQueryChainWrapper = userService.lambdaQuery();
List<User> userList = lambdaQueryChainWrapper.list();
System.out.println("Lambda 链式查询结果: " + userList);
}
sql
=> Preparing: SELECT uid AS id,name,age,email,is_deleted,sex FROM t_user WHERE is_deleted=0
==> Parameters:
<== Columns: id, name, age, email, is_deleted, sex
<== Row: 3, Tom, 35, new_email@example.com, 0, null
<== Row: 4, admin, 25, user@qcby.com, 0, null
<== Row: 5, Billie, 24, test5@baomidou.com, 0, null
<== Row: 6, dadaw, 18, user@qcby.com, 0, null
<== Row: 7, bygnyn, 43, frefr@cweew.com, 0, null
<== Row: 10, 更新后的新用户, 29, updatednewuser@example.com, 0, null
<== Row: 13, szy0, 20, null, 0, null
<== Row: 14, szy1, 21, null, 0, null
<== Row: 15, szy2, 22, null, 0, null
<== Row: 16, szy3, 23, null, 0, null
<== Row: 17, szy4, 24, null, 0, null
<== Row: 18, 张三, 23, zhangsan@qcby.com, 0, null
<== Total: 12
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@4743a322]
Lambda 链式查询结果: [User{id=3, name='Tom', age=35, email='new_email@example.com', isDeleted=0, sex=null}, User{id=4, name='admin', age=25, email='user@qcby.com', isDeleted=0, sex=null}, User{id=5, name='Billie', age=24, email='test5@baomidou.com', isDeleted=0, sex=null}, User{id=6, name='dadaw', age=18, email='user@qcby.com', isDeleted=0, sex=null}, User{id=7, name='bygnyn', age=43, email='frefr@cweew.com', isDeleted=0, sex=null}, User{id=10, name='更新后的新用户', age=29, email='updatednewuser@example.com', isDeleted=0, sex=null}, User{id=13, name='szy0', age=20, email='null', isDeleted=0, sex=null}, User{id=14, name='szy1', age=21, email='null', isDeleted=0, sex=null}, User{id=15, name='szy2', age=22, email='null', isDeleted=0, sex=null}, User{id=16, name='szy3', age=23, email='null', isDeleted=0, sex=null}, User{id=17, name='szy4', age=24, email='null', isDeleted=0, sex=null}, User{id=18, name='张三', age=23, email='zhangsan@qcby.com', isDeleted=0, sex=null}]
增
批量插入
/**
* 插入(批量)
*
* @param entityList 实体对象集合
*/
@Transactional(rollbackFor = Exception.class)
default boolean saveBatch(Collection<T> entityList) {
return saveBatch(entityList, DEFAULT_BATCH_SIZE);
}
方法实现
@Test
public void testSaveBatch(){
// SQL长度有限制,海量数据插入单条SQL无法实行,
// 因此MP将批量插入放在了通用Service中实现,而不是通用Mapper
ArrayList<User> users = new ArrayList<>();
for (int i = 0; i < 5; i++) {
User user = new User();
user.setName("szy" + i);
user.setAge(20 + i);
users.add(user);
}
//SQL:INSERT INTO t_user ( username, age ) VALUES ( ?, ? )
userService.saveBatch(users);
}
sql
Preparing: INSERT INTO t_user ( name, age ) VALUES ( ?, ? )
==> Parameters: szy0(String), 20(Integer)
==> Parameters: szy1(String), 21(Integer)
==> Parameters: szy2(String), 22(Integer)
==> Parameters: szy3(String), 23(Integer)
==> Parameters: szy4(String), 24(Integer)
插入单条数据
/**
* 插入一条记录(选择字段,策略插入)
*
* @param entity 实体对象
*/
default boolean save(T entity) {
return SqlHelper.retBool(getBaseMapper().insert(entity));
}
方法实现
@Test
// 插入一条数据
public void addUser(){
User user = new User();
user.setName("老王");
user.setAge(45);
userService.save(user);
}
sql
==> Preparing: INSERT INTO t_user ( name, age ) VALUES ( ?, ? )
==> Parameters: 老王(String), 45(Integer)
<== Updates: 1
批量插入修改
/**
* 批量修改插入
*
* @param entityList 实体对象集合
* @param batchSize 每次的数量
*/
boolean saveOrUpdateBatch(Collection<T> entityList, int batchSize);
方法使用
@Test
public void updateBatch(){
ArrayList<User> users = new ArrayList<>();
// 修改已有的用户数据
User user1 = new User();
user1.setName("Updated Name 1");
user1.setAge(25);
users.add(user1);
User user2 = new User();
user2.setName("Updated Name 2");
user2.setAge(22);
users.add(user2);
userService.saveOrUpdateBatch(users,5);
}
sql
==> Preparing: INSERT INTO t_user ( name, age ) VALUES ( ?, ? )
==> Parameters: Updated Name 1(String), 25(Integer)
==> Parameters: Updated Name 2(String), 22(Integer)
如果有修改,没有则插入
/**
* TableId 注解存在更新记录,否插入一条记录
*
* @param entity 实体对象
*/
boolean saveOrUpdate(T entity);
实现
@Test
public void testSaveOrUpdateEntity() {
// 测试插入操作,创建一个没有设置 id 的 User 对象
User insertUser = new User(null, "新用户", 28, "newuser@example.com");
boolean insertResult = userService.saveOrUpdate(insertUser);
System.out.println("插入新用户操作是否成功:" + insertResult);
// 测试更新操作,创建一个设置了 id 的 User 对象(假设该 id 存在于数据库中)
Long newUid = 7L;
// 先设置 insertUser 的 uid
insertUser.setUid(newUid);
// 使用 insertUser 修改后的属性创建新对象
User updateUser = new User(insertUser.getUid(), "更新后的新用户", 29, "updatednewuser@example.com");
boolean updateResult = userService.saveOrUpdate(updateUser);
System.out.println("更新用户操作是否成功:" + updateResult);
}
sql
INSERT INTO t_user ( name, age, email ) VALUES ( ?, ?, ? )
==> Parameters: 新用户(String), 28(Integer), newuser@example.com(String)
<== Updates: 1
Preparing: SELECT uid,name,age,email,is_deleted,sex FROM t_user WHERE uid=? AND is_deleted=0
==> Parameters: 7(Long)
<== Columns: uid, name, age, email, is_deleted, sex
<== Row: 7, 更新后的新用户, 29, updatednewuser@example.com, 0, null
<== Total: 1
改
根据Warpper更改
/**
* 根据 whereEntity 条件,更新记录
*
* @param entity 实体对象
* @param updateWrapper 实体对象封装操作类 {@link com.baomidou.mybatisplus.core.conditions.update.UpdateWrapper}
*/
default boolean update(T entity, Wrapper<T> updateWrapper) {
return SqlHelper.retBool(getBaseMapper().update(entity, updateWrapper));
}
实现
@Test
public void testUpdateWithWrapper() {
// 创建更新对象
User user = new User();
user.setAge(35);
user.setEmail("new_email@example.com");
// 创建更新条件
UpdateWrapper<User> updateWrapper = new UpdateWrapper<>();
updateWrapper.eq("name", "Tom");
// 调用 update 方法
boolean result = userService.update(user, updateWrapper);
// 输出结果
System.out.println("更新操作是否成功:" + result);
assertEquals(true, result);
}
sql
==> Preparing: UPDATE t_user SET age=?, email=? WHERE is_deleted=0 AND (name = ?)
==> Parameters: 35(Integer), new_email@example.com(String), Tom(String)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@76db540e]
更新操作是否成功:true
链式修改
/**
* 更新数据
*
* @return 是否成功
*/
default boolean update() {
return update(null);
}
实现
//Lambda 链式更新
@Test
public void testLambdaUpdate() {
LambdaUpdateChainWrapper<User> lambdaUpdateChainWrapper = userService.lambdaUpdate();
boolean result = lambdaUpdateChainWrapper.set(User::getAge, 25).eq(User::getName, "admin").update();
System.out.println("Lambda 链式更新操作是否成功: " + result);
}
sql
==> Preparing: UPDATE t_user SET age=? WHERE is_deleted=0 AND (name = ?)
==> Parameters: 25(Integer), admin(String)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@760245e1]
Lambda 链式更新操作是否成功: true
实现
//Lambda 链式更新
@Test
public void testLambdaUpdate() {
LambdaUpdateChainWrapper<User> lambdaUpdateChainWrapper = userService.lambdaUpdate();
boolean result = lambdaUpdateChainWrapper.set(User::getAge, 25).eq(User::getName, "admin").update();
System.out.println("Lambda 链式更新操作是否成功: " + result);
}
sql
==> Preparing: UPDATE t_user SET age=? WHERE is_deleted=0 AND (name = ?)
==> Parameters: 25(Integer), admin(String)
<== Updates: 1
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@4487c0c2]
Lambda 链式更新操作是否成功: true
删
删除多个字段
/**
* 删除(根据ID 批量删除)
*
* @param list 主键ID或实体列表
*/
default boolean removeByIds(Collection<?> list) {
if (CollectionUtils.isEmpty(list)) {
return false;
}
return SqlHelper.retBool(getBaseMapper().deleteBatchIds(list));
}
实现方法
//删除多个id字段
@Test
public void removeByIds(){
List<Long> idList = Arrays.asList(1903624308889583619L, 1903624308889583618L, 1903624308776337410L);
userService.removeByIds(idList);
}
sql
==> Preparing: UPDATE t_user SET is_deleted=1 WHERE uid IN ( ? , ? , ? ) AND is_deleted=0
==> Parameters: 1903624308889583619(Long), 1903624308889583618(Long), 1903624308776337410(Long)
<== Updates: 0
删除单个字段
/**
* 根据 ID 删除
*
* @param id 主键ID
*/
default boolean removeById(Serializable id) {
return SqlHelper.retBool(getBaseMapper().deleteById(id));
}
实现
@Test
public void removeById(){
boolean result = userService.removeById(28L);
//assertEquals 方法来判定 result 是否为 true。要是 result 的值为 true,测试就会通过;
// 若为 false,测试则会失败,同时会抛出 AssertionError 异常。
assertEquals(true, result);
}
sql
==> Preparing: UPDATE t_user SET is_deleted=1 WHERE uid=? AND is_deleted=0
==> Parameters: 28(Long)
<== Updates: 1
根据实体删除
/**
* 根据实体(ID)删除
*
* @param entity 实体
* @since 3.4.4
*/
default boolean removeById(T entity) {
return SqlHelper.retBool(getBaseMapper().deleteById(entity));
}
实现
@Test
public void testRemoveByIdWithEntity() {
// 创建一个 User 实体对象
User user = new User();
user.setUid(24L);
// 调用 removeById 方法
boolean result = userService.removeById(user);
// 验证结果
assertEquals(true, result);
}
sql
==> Preparing: UPDATE t_user SET is_deleted=1 WHERE uid=? AND is_deleted=0
==> Parameters: 24(Long)
<== Updates: 1
根据queryWrapper条件删除
/**
* 根据 entity 条件,删除记录
*
* @param queryWrapper 实体包装类 {@link com.baomidou.mybatisplus.core.conditions.query.QueryWrapper}
*/
default boolean remove(Wrapper<T> queryWrapper) {
return SqlHelper.retBool(getBaseMapper().delete(queryWrapper));
}
实现方法
@Test
public void testRemoveByWrapper() {
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
queryWrapper.gt("age", 25).eq("email", "test@example.com");
boolean result = userService.remove(queryWrapper);
System.out.println("删除操作是否成功:" + result);
assertEquals(true, result);
}
sql
==> Preparing: UPDATE t_user SET is_deleted=1 WHERE is_deleted=0 AND (age > ? AND email = ?)
==> Parameters: 25(Integer), test@example.com(String)
<== Updates: 0
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@2042ccce]
删除操作是否成功:false
逻辑删除
true是逻辑删除,false实体删除
/**
* 根据 ID 删除
*
* @param id 主键(类型必须与实体类型字段保持一致)
* @param useFill 是否启用填充(为true的情况,会将入参转换实体进行delete删除)
* @return 删除结果
* @since 3.5.0
*/
default boolean removeById(Serializable id, boolean useFill) {
throw new UnsupportedOperationException("不支持的方法!");
}
分页
/**
* 翻页查询
*
* @param page 翻页对象
* @param queryWrapper 实体对象封装操作类 {@link com.baomidou.mybatisplus.core.conditions.query.QueryWrapper}
*/
default <E extends IPage<T>> E page(E page, Wrapper<T> queryWrapper) {
return getBaseMapper().selectPage(page, queryWrapper);
}
实现
@Test
public void testPageWithWrapper() {
// 创建分页对象,查询第 1 页,每页 2 条记录
Page<User> page = new Page<>(1, 2);
// 创建查询条件
QueryWrapper<User> queryWrapper = new QueryWrapper<>();
queryWrapper.gt("age", 20);
IPage<User> userPage = userService.page(page, queryWrapper);
System.out.println("总记录数: " + userPage.getTotal());
System.out.println("当前页记录: " + userPage.getRecords());
}
sql
==> Parameters: 20(Integer), 2(Long)
<== Columns: uid, name, age, email, is_deleted, sex
<== Row: 3, Tom, 35, new_email@example.com, 0, null
<== Row: 4, admin, 25, user@qcby.com, 0, null
<== Total: 2
Closing non transactional SqlSession [org.apache.ibatis.session.defaults.DefaultSqlSession@5e1fc2aa]
总记录数: 17
当前页记录: [User{uid=3, name='Tom', age=35, email='new_email@example.com', isDeleted=0, sex=null}, User{uid=4, name='admin', age=25, email='user@qcby.com', isDeleted=0, sex=null}]
获取mapper
//获取mapper
@Test
public void testGetBaseMapper() {
BaseMapper<User> baseMapper = userService.getBaseMapper();
System.out.println("获取到的 BaseMapper: " + baseMapper);
}
//获取cl
获取class
@Test
public void testGetEntityClass() {
Class<User> entityClass = userService.getEntityClass();
System.out.println("获取到的实体类 Class: " + entityClass);
}