springboot2.X 使用spring-data组件对MongoDB做CURD

2022-09-01 16:30:39

springboot2.X 使用spring-data组件对MongoDB做CURD

使用背景

基于快速开发,需求不稳定的情况, 我决定使用MongoDB作为存储数据库,搭配使用spring-data

因为快速开发,使用spring data可以直接在类上建表等其他操作,而且对于复合数据模型,MongoDB可以直接存储

代码地址

gitee

github

入门普通级别

1.引入maven依赖

<dependencies>
        <!--###############时间日期操作################-->
        <dependency>
            <groupId>joda-time</groupId>
            <artifactId>joda-time</artifactId>
        </dependency>


        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-mongodb</artifactId>
        </dependency>

        <dependency>
            <groupId>cn.hutool</groupId>
            <artifactId>hutool-all</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
        </dependency>
        <!--###############springboot-aop模块################-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-aop</artifactId>
        </dependency>
        <!--###############test模块################-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!--###############web模块################-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <!--###############lombok################-->
        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
        </dependency>

        <!--fast json-->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
        </dependency>

        <dependency>
            <groupId>com.google.guava</groupId>
            <artifactId>guava</artifactId>
        </dependency>

</dependencies>

基于maven dependencyManagement 版本控制如下:

    <dependencyManagement>
        <dependencies>
            <dependency>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-dependencies</artifactId>
                <version>2.1.2.RELEASE</version>
                <type>pom</type>
                <scope>import</scope>
            </dependency>

            <!-- https://mvnrepository.com/artifact/mysql/mysql-connector-java -->
            <dependency>
                <groupId>mysql</groupId>
                <artifactId>mysql-connector-java</artifactId>
                <version>5.1.48</version>
            </dependency>

            <dependency>
                <groupId>cn.hutool</groupId>
                <artifactId>hutool-all</artifactId>
                <version>4.5.16</version>
            </dependency>

            <!--mybatis-->
            <dependency>
                <groupId>org.mybatis.spring.boot</groupId>
                <artifactId>mybatis-spring-boot-starter</artifactId>
                <version>2.0.0</version>
            </dependency>

            <!--fast json-->
            <dependency>
                <groupId>com.alibaba</groupId>
                <artifactId>fastjson</artifactId>
                <version>1.2.56</version>
            </dependency>

            <!-- druid -->
            <dependency>
                <groupId>com.alibaba</groupId>
                <artifactId>druid-spring-boot-starter</artifactId>
                <version>1.1.9</version>
            </dependency>

            <dependency>
                <groupId>com.google.guava</groupId>
                <artifactId>guava</artifactId>
                <version>19.0</version>
            </dependency>
        </dependencies>
    </dependencyManagement>

2.使用docker启动MongoDB

docker run --restart="always" \
          -d \
          --name mongo\
          -p 27017:27017\
          -v /docker/mongo/data/db:/data/db\
          mongo:latest --storageEngine wiredTiger

3.创建Mongo的实体类

@Document(collection="female")
设置id: @Id
设置属性
构建索引
getter/setter

Female.java

@Document(collection = "female")
@Data
public class Female {
    /**
     * 主键
     */
    @Id
    private String id;

    /**
     * 姓名
     */
    private String name;

    /**
     * 年龄
     */
    private String age;

    /**
     * 哪种类型的女人;FemaleTypeEnums
     */
    private Integer type;

    /**
     * 舔狗
     */
    private List<Male> dogs;

    /**
     * 男朋友们
     */
    @Indexed
    private List<Male> boyFriends;

    /**
     * 男神们
     */
    @Indexed
    private List<Male> dreamers;

    /**
     * 创建时间
     */
    @Indexed
    private Date createTime;

    /**
     * 修改时间
     */
    private Date modifiedTime;
}

4.创建Dao层

创建Repository 继承于MongoRepository
根据规则来编写接口方法, spring data mongodb的dao 方法规则详细查看点这里,理论上用idea会提示出来的.
编写单元测试方法

创建Repository 继承于MongoRepository,编写接口方法

FemaleRepository.java

public interface FemaleRepository extends MongoRepository<Female,String> {
    Page<Female> findAllByCreateTimeBetweenAndNameContaining(Date createTime, Date createTime2, String name, Pageable pageable);

    Page<Female> findAllByCreateTimeBefore(Date createTime, Pageable pageable);

    Page<Female> findAllByCreateTimeAfter(Date createTime, Pageable pageable);

    Page<Female> findAllByCreateTimeBetween(Date start, Date end, PageRequest pageRequest);
}

单元测试方法

FemaleRepositoryTest.java

    /**
     * description: 添加测试数据
     * author: suwenguang
     * date: 2019-09-01
     */
    @Test
    public void addTestData() {
        for (int i = 0; i < 1000; i++) {
            Female entity = new Female();
            entity.setName(RandomUtil.randomString(12));
            LocalDate now = LocalDate.now();
            LocalDate localDate = now.minusDays(RandomUtil.randomInt(4));
            entity.setCreateTime(localDate.toDate());
            femaleRepository.save(entity);
        }
    }

    /**
     * description: 测试查询构造器
     * author: suwenguang
     * date: 2019-09-01
     */
    public void  matching(){
        //精确匹配和模糊匹配
        Female probe = new Female();
        ExampleMatcher matching = ExampleMatcher.matching()
            .withMatcher("name", ExampleMatcher.GenericPropertyMatcher.of(ExampleMatcher.StringMatcher.CONTAINING))//模糊匹配
            .withIgnorePaths("id")//忽略匹配id
            ;
        PageRequest of = PageRequest.of(0, 10);
        Page<Female> all = femaleRepository.findAll(Example.of(probe, matching), of);
        System.out.println(JSON.toJSONString(all));
    }

    /**
     * description: 测试范围查询
     * author: suwenguang
     * date: 2019-09-01
     */
    @Test
    public void findAllByCreateTimeAfter() {
        LocalDate yesteday = new LocalDate().minusDays(3);
        PageRequest of = PageRequest.of(0, 10);
        List<Female> byCreateTimeAfter = femaleRepository.findAllByCreateTimeAfter(yesteday.toDate(), of);
        System.out.println(JSON.toJSONString(byCreateTimeAfter));
    }

    /**
     * description: 测试范围查询
     * author: suwenguang
     * date: 2019-09-01
     */
    @Test
    public void findByCreateTimeBetween() {
        LocalDate localDate = new LocalDate();
        Page<Female> byCreateTimeBetween = femaleRepository.findByCreateTimeBetween(localDate.minusDays(2).toDate(), localDate.toDate(), PageRequest.of(0, 10));
        System.out.println(JSON.toJSONString(byCreateTimeBetween.getContent()));
    }

进阶Querydsl扩展复杂查询

(基于单表的复杂查询,多表复杂查询暂时不纳入讨论范围)

如果按照以上的用法,动态扩展多条件查询仍然不能够完美支持,会导致代码冗余,当然你如果使用mongoTemlate进行自己封装,另当别论.

那么为了实现动态扩展多条件查询,我去查看对应版本的官方文档,跳转点这里,看到可以集成querydsl作为扩展.

步骤

整合querydsl
使用dsl

1.整合querydsl

1.Querydsl官网

2.querydsl集成文档

pom.xml配置引入依赖

       <!--###############复杂查询querydsl jpa################-->
        <dependency>
            <groupId>com.querydsl</groupId>
            <artifactId>querydsl-apt</artifactId>
            <version>${querydsl.version}</version>
            <scope>provided</scope>
        </dependency>

        <dependency>
            <groupId>com.querydsl</groupId>
            <artifactId>querydsl-jpa</artifactId>
            <version>${querydsl.version}</version>
        </dependency>

<!--        <dependency>-->
<!--            <groupId>org.slf4j</groupId>-->
<!--            <artifactId>slf4j-log4j12</artifactId>-->
<!--            <version>1.6.1</version>-->
<!--        </dependency>-->

为什么要注释掉slf4j?

因为我的springboot项目已经引入了slf4j,没必要重复声明,自己可以通过idea的maven dependence查看是否有引入,没有则需要重新引入

2.使用dsl

在dao的repository中继承QuerydslPredicateExecutor<T>

public interface FemaleRepository extends MongoRepository<Female,String>, QuerydslPredicateExecutor<Female> {

}

编写单元测试FemaleRepositoryTest.java

  /**
   * description: 多条件
   * author: suwenguang
   * date: 2019-09-01
   */
  @Test
  public void querydsl() {
      PageRequest of = PageRequest.of(0, 10);
      QFemale female = QFemale.female;
      BooleanExpression createTimeBetween = female.createTime.between(LocalDate.now().minusDays(2).toDate(), LocalDate.now().minusDays(1).toDate());
      BooleanBuilder builder = new BooleanBuilder(createTimeBetween);
      BooleanExpression contains = female.name.contains("3");
      builder.and(contains);
      Page<Female> all = femaleRepository.findAll(builder,of);
      System.out.println(all.getTotalElements());
      System.out.println(JSON.toJSONString(all.getContent()));
  }

如上所示, 这样子可以动态构造所需要的条件,多个范围查询也可以支持了!!!那么对于后台的搜索数据只需要一个接口就可以了

至于怎么实现,后面再继续整合 X-admin 2.2这个后端模板, 另外出一篇文章吧.

如果对上诉代码有问题或者有其他的扩展性问题,欢迎留下你的评论.

补充

BooleanBuilder的类图, 可以通过idea查看,因为findAll是通过父类继承下来的接口, 里面的Predicate也是一个接口,而BooleanExpression和BooleanBuilder都是实现了Predicate的;

码农公寓

springboot2.X 使用spring-data组件对MongoDB做CURD

使用背景

代码地址

入门普通级别

1.引入maven依赖

2.使用docker启动MongoDB

3.创建Mongo的实体类

4.创建Dao层

进阶Querydsl扩展复杂查询

步骤

1.整合querydsl

2.使用dsl

补充

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