springboot2.X 使用spring-data组件对MongoDB做CURD
- 2019 年 10 月 3 日
- 筆記
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
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
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@Document(collection="female")
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设置id: @Id
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设置属性
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构建索引
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getter/setter
@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
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创建Repository 继承于MongoRepository
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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.
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编写单元测试方法
创建Repository 继承于MongoRepository,编写接口方法
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
/** * 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
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整合querydsl
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使用dsl
1.整合querydsl
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
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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;
