MyBatis第N+1种分页方式,全新的MyBatis分页-CFANZ编程社区

在MyBatis的世界里,原生的分页基于RowBounds,虽然能达到分页的目的,但是使用起来还是不那么方便.后面开发者又添加了流式查询方式,虽然可以解决部分问题,但感觉还是不是想要的分页方式.另一方面,Java界程序员大佬给出了很多优秀的分页方案,比如Mybatis-PageHelper. 世界因不一样而精彩,今天带来一种新的分页方式.希望带给使用者一种新的api使用方式.

mybatis-nosugar

得益于JDK1.8的函数式接口,新的分页方式才得以使用.

分页Api

Api定义最多支持五个参数,多于5个的可以使用类型强制转换.或者自己扩展.
支持原Mapper已定义的查询方法.

Page<T> page = mapper.selectPagePX(Page<T>, mapper::原查询方法的lambda引用, 原参数列表...);

简单示例

Page<Movie> page = mapper.selectPageP2(new PageImpl<>(2, 5), mapper::findByLocationAndScoreGreaterThan, "US", 9.0);

使用方式

引入 Maven依赖

<dependency>
    <groupId>com.nosugarice</groupId>
    <artifactId>mybatis-nosugar-spring</artifactId>
    <version>${nosugar.version}</version>
</dependency>

在原来Mybatis-Spring配置的基础上把factoryBean替换成NoSugar中的MybatisMapperFactoryBean

@MapperScan(basePackages = {"com.xxx"}, factoryBean = MybatisMapperFactoryBean.class)
public class MyBatisConfiguration {
}

继承接口BaseMapper<T, ID>

public interface MovieMapper extends BaseMapper<Movie, Integer> {
}

示例数据

实体类

@Table(name = "movie")
public class Movie implements Serializable {

    private static final long serialVersionUID = -8793166370987026047L;

    /** 主键 */
    @Id
    @Column(name = "id", nullable = false)
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Integer id;

    /** 名称 */
    @Column(name = "name", nullable = false)
    private String name;

    /** 地区 */
    @Column(name = "location", nullable = false)
    private String location;

    /** 时长 */
    @Column(name = "length", nullable = false)
    private Integer length;

    /** 发行日期 */
    @Column(name = "release_date", nullable = false)
    private LocalDate releaseDate;

    /** 名次 */
    @Column(name = "ordinal", nullable = false)
    private Integer ordinal;

    /** 评分 */
    @Column(name = "score", nullable = false)
    private Double score;

    /** 类别 */
    @Column(name = "category", nullable = false)
    private String category;

    ...
}

Mapper接口

public interface MovieMapper extends BaseMapper<Movie, Integer> {

    List<Movie> findByCategoryIsNotNull();

    List<Movie> findByLocation(String location);

    List<Movie> findByLocationAndScoreGreaterThan(String location, Double score);

    List<Movie> findByLocationAndScoreGreaterThanAndCategoryContains(String location, Double score, String category);

}

数据库初始化SQL

DROP TABLE movie IF EXISTS;
CREATE TABLE movie
(
    id           INTEGER GENERATED BY DEFAULT AS IDENTITY,
    name         VARCHAR(100) NOT NULL,
    location     VARCHAR(100) NOT NULL,
    length       INTEGER      NOT NULL,
    release_date DATE         NOT NULL,
    ordinal      INTEGER      NOT NULL,
    score        DOUBLE       NOT NULL,
    category     VARCHAR(20)  NULL,
    PRIMARY KEY (id)
);

INSERT INTO movie VALUES (0, '肖申克的救赎', 'US', 142, '1994-09-23', 1, 9.7, '剧情');
INSERT INTO movie VALUES (1, '霸王别姬', 'CHN', 171, '1993-07-26', 2, 9.6, '剧情');
INSERT INTO movie VALUES (2, '阿甘正传 ', 'US', 142, '1994-06-23', 3, 9.5, '剧情');
INSERT INTO movie VALUES (3, '美丽人生 ', 'IT', 116, '1997-12-20', 4, 9.6, '');
INSERT INTO movie VALUES (4, '千与千寻 ', 'JP', 125, '2001-07-20', 5, 9.4, '奇幻');
INSERT INTO movie VALUES (5, '泰坦尼克号 ', 'US', 194, '1997-12-19', 6, 9.4, '爱情');
INSERT INTO movie VALUES (6, '这个杀手不太冷', 'FR', 133, '1994-09-14', 7, 9.4, '犯罪');
INSERT INTO movie VALUES (7, '星际穿越', 'US', 169, '2014-11-12', 8, 9.4, '科幻');
INSERT INTO movie VALUES (8, '无间道', 'CHN', 101, '2003-09-05', 9, 9.3, '犯罪');
INSERT INTO movie VALUES (9, '疯狂动物城', 'US', 109, '2016-03-04', 10, 9.2, '喜剧');
INSERT INTO movie VALUES (10, '机器人总动员', 'US', 98, '2008-06-27', 11, 9.3, '动画');
INSERT INTO movie VALUES (11, '罗马假日', 'US', 118, '1953-08-20', 12, 9.1, '爱情');
INSERT INTO movie VALUES (12, '大话西游之大圣娶亲', 'CHN', 95, '1995-02-04', 13, 9.2, '剧情');
INSERT INTO movie VALUES (13, '大话西游之月光宝盒', 'CHN', 87, '1995-01-21', 14, 9.0, '喜剧');
INSERT INTO movie VALUES (14, '指环王3', 'US', 201, '2003-12-17', 15, 9.3, null);

基于0个参数的分页示例

Page<Movie> page = mapper.selectPageP0(new PageImpl<>(2, 5), mapper::findByCategoryIsNotNull);

MovieMapper.adapterCount   : ==>  Preparing: SELECT COUNT(*) FROM movie WHERE category IS NOT NULL
MovieMapper.adapterCount   : ==> Parameters: 
MovieMapper.adapterCount   : <==      Total: 1
MovieMapper.adapterPage    : ==>  Preparing: SELECT id AS "id", name AS "name", location AS "location", length AS "length", release_date AS "releaseDate", ordinal AS "ordinal", score AS "score", category AS "category" FROM movie WHERE category IS NOT NULL OFFSET 5 LIMIT 5
MovieMapper.adapterPage    : ==> Parameters: 
MovieMapper.adapterPage    : <==      Total: 5

基于三个参数的分页示例

Page<Movie> page = mapper.selectPageP3(new PageImpl<>(2, 2), mapper::findByLocationAndScoreGreaterThanAndCategoryContains, "US", 9.0, "情");

MovieMapper.adapterCount   : ==>  Preparing: SELECT COUNT(*) FROM movie WHERE location = ? AND score > ? AND category LIKE ?
MovieMapper.adapterCount   : ==> Parameters: US(String), 9.0(Double), %情%(String)
MovieMapper.adapterCount   : <==      Total: 1
MovieMapper.adapterPage    : ==>  Preparing: SELECT id AS "id", name AS "name", location AS "location", length AS "length", release_date AS "releaseDate", ordinal AS "ordinal", score AS "score", category AS "category" FROM movie WHERE location = ? AND score > ? AND category LIKE ? OFFSET 2 LIMIT 2
MovieMapper.adapterPage    : ==> Parameters: US(String), 9.0(Double), %情%(String)
MovieMapper.adapterPage    : <==      Total: 2

全新Count查询

基于`SelectMapper#adapterCount`

在原查询方法上开启Count查询.

示例

long count=mapper.countP3(mapper::findByLocationAndScoreGreaterThanAndCategoryContains, "US", 9.0, "情");

注意

调用的方法除第一个方法引用参数外其他的参数类型要和原方法对应.

全新exists查询

基于`SelectMapper#adapterExists`

在原查询方法上开启Exists查询.

示例

Optional<Integer> optional = mapper.existsP3(mapper::findByLocationAndScoreGreaterThanAndCategoryContains, "US", 9.0, "情");
Assertions.assertTrue(optional.isPresent());