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Maven Apache 2 jdk-8 jdk-11 jdk-17

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📚 文档

🐧 QQ群:170029046

依赖

使用属性

<properties>
  <easy-query.version>last-version</easy-query.version>
</properties>
<!--<dependency>-->
<!--  <groupId>com.easy-query</groupId>-->
<!--  <artifactId>sql-core</artifactId>-->
<!--  <version>${easy-query.version}</version>-->
<!--</dependency>-->
<!--sql-mysql已经包含sql-core-->
<dependency>
<groupId>com.easy-query</groupId>
<artifactId>sql-mysql</artifactId>
<version>${easy-query.version}</version>
</dependency>

使用表达式

<properties>
  <easy-query.version>last-version</easy-query.version>
</properties>
<dependency>
<groupId>com.easy-query</groupId>
<artifactId>sql-api4j</artifactId>
<version>${easy-query.version}</version>
</dependency>
<dependency>
<groupId>com.easy-query</groupId>
<artifactId>sql-mysql</artifactId>
<version>${easy-query.version}</version>
</dependency>

使用代理

entity对象添加注解 @EntityProxy 然后build project apt 将会自动生成代理对象的java代码

<properties>
  <easy-query.version>last-version</easy-query.version>
</properties>
<dependency>
<groupId>com.easy-query</groupId>
<artifactId>sql-api-proxy</artifactId>
<version>${easy-query.version}</version>
</dependency>
<dependency>
<groupId>com.easy-query</groupId>
<artifactId>sql-mysql</artifactId>
<version>${easy-query.version}</version>
</dependency>

🚀 介绍

使用介绍

easy-query 🚀 一款高性能、轻量级、多功能的Java/Kotlin对象查询ORM框架支持分库分表读写分离

简介

easy-query是一款无任何依赖的JAVA/Kotlin ORM 框架，十分轻量，拥有非常高的性能，支持单表查询、多表查询、union、子查询、分页、动态表名、VO对象查询返回、逻辑删、全局拦截、数据库列加密( 支持高性能like查询)、数据追踪差异更新、乐观锁、多租户、自动分库、自动分表、读写分离，支持框架全功能外部扩展定制，拥有强类型表达式。

如何获取最新版本

https://central.sonatype.com/ 搜索com.easy-query获取最新安装包

安装

以下是spring-boot环境和控制台模式的安装

spring-boot

<properties>
  <easy-query.version>last-version</easy-query.version>
</properties>
<dependency>
    <groupId>com.easy-query</groupId>
    <artifactId>sql-springboot-starter</artifactId>
    <version>${easy-query.version}</version>
</dependency>

console

以mysql为例

<properties>
  <easy-query.version>last-version</easy-query.version>
</properties>
        <!--  not required support proxy 非必须  提供了代理模式支持apt模式以非lambda形式的强类型sql语法 -->
<dependency>
<groupId>com.easy-query</groupId>
<artifactId>sql-api-proxy</artifactId>
<version>${easy-query.version}</version>
</dependency>
        <!--  not required support labda  提供了以java语法强类型,如果不引用也可以使用只是无法使用lambda表达式来表示属性只能用字符串 -->
<dependency>
<groupId>com.easy-query</groupId>
<artifactId>sql-api4j</artifactId>
<version>${easy-query.version}</version>
</dependency>
        <!-- required databaase sql  这边以mysql为例 其实不需要添加下面的包也可以运行,指示默认的个别数据库行为语句没办法生成 -->
<dependency>
<groupId>com.easy-query</groupId>
<artifactId>sql-mysql</artifactId>
<version>${easy-query.version}</version>
</dependency>

//初始化连接池
 HikariDataSource dataSource=new HikariDataSource();
         dataSource.setJdbcUrl("jdbc:mysql://127.0.0.1:3306/easy-query-test?serverTimezone=GMT%2B8&characterEncoding=utf-8&useSSL=false&allowMultiQueries=true&rewriteBatchedStatements=true");
         dataSource.setUsername("root");
         dataSource.setPassword("root");
         dataSource.setDriverClassName("com.mysql.cj.jdbc.Driver");
         dataSource.setMaximumPoolSize(20);
//非强类型api
         EasyQueryClient easyQueryClient=EasyQueryBootstrapper.defaultBuilderConfiguration()
         .setDataSource(dataSource)
         .useDatabaseConfigure(new MySQLDatabaseConfiguration())
         .build();
//强类型api
         EasyQuery easyQuery=new DefaultEasyQuery(easyQueryClient);

开始

sql脚本

create table t_topic
(
  id varchar(32) not null comment '主键ID'primary key,
  stars int not null comment '点赞数',
  title varchar(50) null comment '标题',
  create_time datetime not null comment '创建时间'
)comment '主题表';

create table t_blog
(
  id varchar(32) not null comment '主键ID'primary key,
  deleted tinyint(1) default 0 not null comment '是否删除',
  create_by varchar(32) not null comment '创建人',
  create_time datetime not null comment '创建时间',
  update_by varchar(32) not null comment '更新人',
  update_time datetime not null comment '更新时间',
  title varchar(50) not null comment '标题',
  content varchar(256) null comment '内容',
  url varchar(128) null comment '博客链接',
  star int not null comment '点赞数',
  publish_time datetime null comment '发布时间',
  score decimal(18, 2) not null comment '评分',
  status int not null comment '状态',
  `order` decimal(18, 2) not null comment '排序',
  is_top tinyint(1) not null comment '是否置顶',
  top tinyint(1) not null comment '是否置顶'
)comment '博客表';

查询对象

@Data
public class BaseEntity implements Serializable {
  private static final long serialVersionUID = -4834048418175625051L;

  @Column(primaryKey = true)
  private String id;
  /**
   * 创建时间;创建时间
   */
  private LocalDateTime createTime;
  /**
   * Update时间;Update时间
   */
  private LocalDateTime updateTime;
  /**
   * 创建人;创建人
   */
  private String createBy;
  /**
   * Update人;Update人
   */
  private String updateBy;
  /**
   * 是否Delete;是否Delete
   */
  @LogicDelete(strategy = LogicDeleteStrategyEnum.BOOLEAN)
  private Boolean deleted;
}


@Data
@Table("t_topic")
@EntityProxy //or @EntityFileProxy
@ToString
public class Topic implements ProxyEntityAvailable<Topic , TopicProxy> {

  @Column(primaryKey = true)
  private String id;
  private Integer stars;
  private String title;
  private LocalDateTime createTime;

}

//The ProxyEntityAvailable interface can be quickly generated using the IDEA plugin EasyQueryAssistant.


@Data
@Table("t_blog")
@EntityProxy //or @EntityFileProxy
public class BlogEntity extends BaseEntity implements ProxyEntityAvailable<BlogEntity , BlogEntityProxy>{

  /**
   * 标题
   */
  private String title;
  /**
   * 内容
   */
  private String content;
  /**
   * 博客链接
   */
  private String url;
  /**
   * 点赞数
   */
  private Integer star;
  /**
   * 发布时间
   */
  private LocalDateTime publishTime;
  /**
   * 评分
   */
  private BigDecimal score;
  /**
   * 状态
   */
  private Integer status;
  /**
   * 排序
   */
  private BigDecimal order;
  /**
   * 是否置顶
   */
  private Boolean isTop;
  /**
   * 是否置顶
   */
  private Boolean top;

}

单表查询

Topic topic = easyEntityQuery
                .queryable(Topic.class)
                .where(o -> o.id().eq("3"))
                .firstOrNull();        
==> Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic` t WHERE t.`id` = ? LIMIT 1
==> Parameters: 3(String)
<== Time Elapsed: 15(ms)
<== Total: 1

多表查询

Topic topic = entityQuery
               .queryable(Topic.class)
               .leftJoin(BlogEntity.class, (t, t1) -> t.id().eq(t1.id()))
               .where(o -> {
                    o.id().eq("3");
                    o.title().eq("4");
                })
               .firstOrNull();
==> Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic` t LEFT JOIN `t_blog` t1 ON t1.`deleted` = ? AND t.`id` = t1.`id` WHERE t.`id` = ? LIMIT 1
==> Parameters: false(Boolean),3(String)
<== Time Elapsed: 2(ms)
<== Total: 1

复杂查询

join + group +分页

EasyPageResult<BlogEntity> page = easyEntityQuery
        .queryable(Topic.class)
        .innerJoin(BlogEntity.class,(t1,t2)->t1.id().eq(t2.id()))
        .where((t1,t2)->t2.title().isNotNull())
        .groupBy((t1,t2)->GroupKeys.TABLE2.of(t2.id()))
        .select(g->{
              BlogEntityProxy r = new BlogEntityProxy();
              r.id().set(g.key1());
              r.score().set(g.sum(g.group().t2.score()));
              return r;
        })
        .toPageResult(1, 20);
==> Preparing: SELECT COUNT(*) FROM (SELECT t1.`id` AS `id`,SUM(t1.`score`) AS `score` FROM `t_topic` t INNER JOIN `t_blog` t1 ON t1.`deleted` = ? AND t.`id` = t1.`id` WHERE t1.`title` IS NOT NULL GROUP BY t1.`id`) t2
  ==> Parameters: false(Boolean)
<== Time Elapsed: 4(ms)
<== Total: 1
==> Preparing: SELECT t1.`id` AS `id`,SUM(t1.`score`) AS `score` FROM `t_topic` t INNER JOIN `t_blog` t1 ON t1.`deleted` = ? AND t.`id` = t1.`id` WHERE t1.`title` IS NOT NULL GROUP BY t1.`id` LIMIT 20
==> Parameters: false(Boolean)
<== Time Elapsed: 2(ms)
<== Total: 20

动态表名

easyEntityQuery.queryable(BlogEntity.class)
        .asTable(a->"aa_bb_cc")
        .where(o -> o.id().eq("123"))
        .toList();
     
 SELECT t.`id`,t.`create_time`,t.`update_time`,t.`create_by`,t.`update_by`,t.`deleted`,t.`title`,t.`content`,t.`url`,t.`star`,t.`publish_time`,t.`score`,t.`status`,t.`order`,t.`is_top`,t.`top` FROM `aa_bb_cc` t WHERE t.`deleted` = ? AND t.`id` = ?

新增

Topic topic = new Topic();
topic.setId(String.valueOf(0));
topic.setStars(100);
topic.setTitle("标题0");
topic.setCreateTime(LocalDateTime.now().plusDays(i));

long rows = easyEntityQuery.insertable(topic).executeRows();
//返回结果rows为1
==> Preparing: INSERT INTO `t_topic` (`id`,`stars`,`title`,`create_time`) VALUES (?,?,?,?) 
==> Parameters: 0(String),100(Integer),标题0(String),2023-03-16T21:34:13.287(LocalDateTime)
<== Total: 1

修改

//实体更新
 Topic topic = easyEntityQuery.queryable(Topic.class)
        .where(o -> o.id().eq("7")).firstNotNull("未找到对应的数据");
        String newTitle = "test123" + new Random().nextInt(100);
        topic.setTitle(newTitle);

long rows=easyQuery.updatable(topic).executeRows();
==> Preparing: UPDATE t_topic SET `stars` = ?,`title` = ?,`create_time` = ? WHERE `id` = ?
==> Parameters: 107(Integer),test12364(String),2023-03-27T22:05:23(LocalDateTime),7(String)
<== Total: 1
//表达式更新
long rows = easyEntityQuery.updatable(Topic.class)
                    .setColumns(o->{
                        o.stars().set(12);
                    })
                    .where(o->o.id().eq("2"))
                    .executeRows();
//rows为1
easyEntityQuery.updatable(Topic.class)
        .setColumns(o->{
            o.stars().set(12);
        })
        .where(o->o.id().eq("2"))
                    .executeRows(1,"更新失败");
//判断受影响行数并且进行报错,如果当前操作不在事务内执行那么会自动开启事务!!!会自动开启事务!!!会自动开启事务!!!来实现并发更新控制,异常为:EasyQueryConcurrentException 
//抛错后数据将不会被更新
==> Preparing: UPDATE t_topic SET `stars` = ? WHERE `id` = ?
==> Parameters: 12(Integer),2(String)
<== Total: 1

删除

long l = easyQuery.deletable(Topic.class)
                    .where(o->o.title().eq("title998"))
                    .executeRows();
==> Preparing: DELETE FROM t_topic WHERE `title` = ?
==> Parameters: title998(String)
<== Total: 1
Topic topic = easyQuery.queryable(Topic.class).whereId("997").firstNotNull("未找到当前主题数据");
long l = easyQuery.deletable(topic).executeRows();
==> Preparing: DELETE FROM t_topic WHERE `id` = ?
==> Parameters: 997(String)
<== Total: 1

联合查询

Queryable<Topic> q1 = easyQuery
                .queryable(Topic.class);
Queryable<Topic> q2 = easyQuery
        .queryable(Topic.class);
Queryable<Topic> q3 = easyQuery
        .queryable(Topic.class);
List<Topic> list = q1.union(q2, q3).where(o -> o.eq(Topic::getId, "123321")).toList();
==> Preparing: SELECT t1.`id`,t1.`stars`,t1.`title`,t1.`create_time` FROM (SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic` t UNION SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic` t UNION SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic` t) t1 WHERE t1.`id` = ?
==> Parameters: 123321(String)
<== Time Elapsed: 19(ms)
<== Total: 0

子查询

in子查询

EntityQueryable<StringProxy, String> idQuery = easyEntityQuery.queryable(BlogEntity.class)
        .where(o -> o.id().eq("1" ))
        .select(o -> new StringProxy(o.id()));

        List<Topic> list1 = easyEntityQuery.queryable(Topic.class)
        .where(o -> o.id().in(idQuery))
        .toList();
==> Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic` t WHERE t.`id` IN (SELECT t1.`id` FROM `t_blog` t1 WHERE t1.`deleted` = ? AND t1.`id` = ?)
  ==> Parameters: false(Boolean),1(String)
<== Time Elapsed: 6(ms)
<== Total: 1

exists子查询

EntityQueryable<BlogEntityProxy, BlogEntity> where = easyEntityQuery.queryable(BlogEntity.class)
        .where(o -> o.id().eq("1" ));

List<Topic> list2 = easyEntityQuery.queryable(Topic.class)
        .where(o -> {
        o.exists(() -> where.where(q -> q.id().eq(o.id())));
        }).toList();
==> Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic` t WHERE EXISTS (SELECT 1 FROM `t_blog` t1 WHERE t1.`deleted` = ? AND t1.`id` = ? AND t1.`id` = t.`id`)
==> Parameters: false(Boolean),1(String)
<== Time Elapsed: 2(ms)
<== Total: 1

分片

easy-query支持分表、分库、分表+分库

分表

//创建分片对象
@Data
@Table(value = "t_topic_sharding_time",shardingInitializer = TopicShardingTimeShardingInitializer.class)
@ToString
public class TopicShardingTime {

    @Column(primaryKey = true)
    private String id;
    private Integer stars;
    private String title;
    @ShardingTableKey
    private LocalDateTime createTime;
}
//分片初始化器很简单 假设我们是2020年1月到2023年5月也就是当前时间进行分片那么要生成对应的分片表每月一张
public class TopicShardingTimeShardingInitializer extends AbstractShardingMonthInitializer<TopicShardingTime> {

    @Override
    protected LocalDateTime getBeginTime() {
        return LocalDateTime.of(2020, 1, 1, 1, 1);
    }

    @Override
    protected LocalDateTime getEndTime() {
        return LocalDateTime.of(2023, 5, 1, 0, 0);
    }


    @Override
    public void configure0(ShardingEntityBuilder<TopicShardingTime> builder) {

////以下条件可以选择配置也可以不配置用于优化分片性能
//        builder.paginationReverse(0.5,100)
//                .ascSequenceConfigure(new TableNameStringComparator())
//                .addPropertyDefaultUseDesc(TopicShardingTime::getCreateTime)
//                .defaultAffectedMethod(false, ExecuteMethodEnum.LIST,ExecuteMethodEnum.ANY,ExecuteMethodEnum.COUNT,ExecuteMethodEnum.FIRST)
//                .useMaxShardingQueryLimit(2,ExecuteMethodEnum.LIST,ExecuteMethodEnum.ANY,ExecuteMethodEnum.FIRST);

    }
}
//分片时间路由规则按月然后bean分片属性就是LocalDateTime也可以自定义实现
public class TopicShardingTimeTableRoute extends AbstractMonthTableRoute<TopicShardingTime> {

    @Override
    protected LocalDateTime convertLocalDateTime(Object shardingValue) {
        return (LocalDateTime)shardingValue;
    }
}

数据库脚本参考源码

其中shardingInitializer为分片初始化器用来初始化告诉框架有多少分片的表名(支持动态添加)

ShardingTableKey表示哪个字段作为分片键(分片键不等于主键)

执行sql

LocalDateTime beginTime = LocalDateTime.of(2021, 1, 1, 1, 1);
LocalDateTime endTime = LocalDateTime.of(2021, 5, 2, 1, 1);
Duration between = Duration.between(beginTime, endTime);
long days = between.toDays();
List<TopicShardingTime> list = easyQuery.queryable(TopicShardingTime.class)
        .where(o->o.rangeClosed(TopicShardingTime::getCreateTime,beginTime,endTime))
        .orderByAsc(o -> o.column(TopicShardingTime::getCreateTime))
        .toList();
==> SHARDING_EXECUTOR_2, name:ds2020, Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic_sharding_time_202101` t WHERE t.`create_time` >= ? AND t.`create_time` <= ? ORDER BY t.`create_time` ASC
==> SHARDING_EXECUTOR_3, name:ds2020, Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic_sharding_time_202102` t WHERE t.`create_time` >= ? AND t.`create_time` <= ? ORDER BY t.`create_time` ASC
==> SHARDING_EXECUTOR_2, name:ds2020, Parameters: 2021-01-01T01:01(LocalDateTime),2021-05-02T01:01(LocalDateTime)
==> SHARDING_EXECUTOR_3, name:ds2020, Parameters: 2021-01-01T01:01(LocalDateTime),2021-05-02T01:01(LocalDateTime)
<== SHARDING_EXECUTOR_3, name:ds2020, Time Elapsed: 3(ms)
<== SHARDING_EXECUTOR_2, name:ds2020, Time Elapsed: 3(ms)
==> SHARDING_EXECUTOR_2, name:ds2020, Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic_sharding_time_202103` t WHERE t.`create_time` >= ? AND t.`create_time` <= ? ORDER BY t.`create_time` ASC
==> SHARDING_EXECUTOR_3, name:ds2020, Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic_sharding_time_202104` t WHERE t.`create_time` >= ? AND t.`create_time` <= ? ORDER BY t.`create_time` ASC
==> SHARDING_EXECUTOR_2, name:ds2020, Parameters: 2021-01-01T01:01(LocalDateTime),2021-05-02T01:01(LocalDateTime)
==> SHARDING_EXECUTOR_3, name:ds2020, Parameters: 2021-01-01T01:01(LocalDateTime),2021-05-02T01:01(LocalDateTime)
<== SHARDING_EXECUTOR_3, name:ds2020, Time Elapsed: 2(ms)
<== SHARDING_EXECUTOR_2, name:ds2020, Time Elapsed: 2(ms)
==> main, name:ds2020, Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic_sharding_time_202105` t WHERE t.`create_time` >= ? AND t.`create_time` <= ? ORDER BY t.`create_time` ASC
==> main, name:ds2020, Parameters: 2021-01-01T01:01(LocalDateTime),2021-05-02T01:01(LocalDateTime)
<== main, name:ds2020, Time Elapsed: 2(ms)
<== Total: 122

分库

@Data
@Table(value = "t_topic_sharding_ds",shardingInitializer = DataSourceAndTableShardingInitializer.class)
@ToString
public class TopicShardingDataSource {

    @Column(primaryKey = true)
    private String id;
    private Integer stars;
    private String title;
    @ShardingDataSourceKey
    private LocalDateTime createTime;
}
public class DataSourceShardingInitializer implements EntityShardingInitializer<TopicShardingDataSource> {
    @Override
    public void configure(ShardingEntityBuilder<TopicShardingDataSource> builder) {
        EntityMetadata entityMetadata = builder.getEntityMetadata();
        String tableName = entityMetadata.getTableName();
        List<String> tables = Collections.singletonList(tableName);
        LinkedHashMap<String, Collection<String>> initTables = new LinkedHashMap<String, Collection<String>>() {{
            put("ds2020", tables);
            put("ds2021", tables);
            put("ds2022", tables);
            put("ds2023", tables);
        }};
        builder.actualTableNameInit(initTables);


    }
}
//分库数据源路由规则
public class TopicShardingDataSourceRoute extends AbstractDataSourceRoute<TopicShardingDataSource> {
    @Override
    protected RouteFunction<String> getRouteFilter(TableAvailable table, Object shardingValue, ShardingOperatorEnum shardingOperator, boolean withEntity) {
        LocalDateTime createTime = (LocalDateTime) shardingValue;
        String dataSource = "ds" + createTime.getYear();
        switch (shardingOperator){
            case GREATER_THAN:
            case GREATER_THAN_OR_EQUAL:
                return ds-> dataSource.compareToIgnoreCase(ds)<=0;
            case LESS_THAN:
            {
                //如果小于月初那么月初的表是不需要被查询的
                LocalDateTime timeYearFirstDay = LocalDateTime.of(createTime.getYear(),1,1,0,0,0);
                if(createTime.isEqual(timeYearFirstDay)){
                    return ds->dataSource.compareToIgnoreCase(ds)>0;
                }
                return ds->dataSource.compareToIgnoreCase(ds)>=0;
            }
            case LESS_THAN_OR_EQUAL:
                return ds->dataSource.compareToIgnoreCase(ds)>=0;

            case EQUAL:
                return ds->dataSource.compareToIgnoreCase(ds)==0;
            default:return t->true;
        }
    }
}
LocalDateTime beginTime = LocalDateTime.of(2020, 1, 1, 1, 1);
LocalDateTime endTime = LocalDateTime.of(2023, 5, 1, 1, 1);
Duration between = Duration.between(beginTime, endTime);
long days = between.toDays();
EasyPageResult<TopicShardingDataSource> pageResult = easyQuery.queryable(TopicShardingDataSource.class)
        .orderByAsc(o -> o.column(TopicShardingDataSource::getCreateTime))
        .toPageResult(1, 33);
==> SHARDING_EXECUTOR_23, name:ds2022, Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic_sharding_ds` t ORDER BY t.`create_time` ASC LIMIT 33
==> SHARDING_EXECUTOR_11, name:ds2021, Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic_sharding_ds` t ORDER BY t.`create_time` ASC LIMIT 33
==> SHARDING_EXECUTOR_2, name:ds2020, Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic_sharding_ds` t ORDER BY t.`create_time` ASC LIMIT 33
==> SHARDING_EXECUTOR_4, name:ds2023, Preparing: SELECT t.`id`,t.`stars`,t.`title`,t.`create_time` FROM `t_topic_sharding_ds` t ORDER BY t.`create_time` ASC LIMIT 33
<== SHARDING_EXECUTOR_4, name:ds2023, Time Elapsed: 4(ms)
<== SHARDING_EXECUTOR_23, name:ds2022, Time Elapsed: 4(ms)
<== SHARDING_EXECUTOR_2, name:ds2020, Time Elapsed: 4(ms)
<== SHARDING_EXECUTOR_11, name:ds2021, Time Elapsed: 6(ms)
<== Total: 33

捐赠

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