流畅的orm让我发现我抵触的是mybatis而不是java
流畅的orm让我发现我抵触的是mybatis而不是java
背景介绍
开发.net 也快10年了,到第三年的时候我已经渐渐瓶颈了,于是我在网上找各种资料但是大部分c#资料全是皮毛资料，稍微深一点点就再讲表达式expression,感觉完全没有那个深度,但是同时期的java讲解的都是基本原理,和框架思想，所以遇到瓶颈了我就会看java,我也是那个时候渐渐地掌握了两门语言,对我而言我学的是java的思想（计算机的思想）主要是数据结构和算法思想，这在同时期的c#资料是很难找到相同价值的。但是在使用java的3-4年时间里面那种恶心的orm让我也渐渐对其产生厌恶，因为java在那个时期对orm的需求仅仅只是能实现功能和结果集转对象，更多的精力都是在大数据方向上，所以对我们这些crud仔而言orm及其不友好，尤其是用过c#的orm后，但是在工作不久后除了mybatis就是mybatis-plus，这让业务开发的效率大大降低，bug率大大提升（c#的orm转到java的orm而言），强类型和复杂sql不能共存仿佛成为了javaer口中的理所应当。
经过不断的努力终于在今年4月份正式发布easy-query orm，这款orm参考了大量的c#的orm框架 efcore、freesql、sqlsugar等，也参考了大量的java的orm框架。站在各位大佬的肩膀上让这个orm的开发周期大大降低，虽然java没有c#的expression(非官方的有但是稳定性和安全性等堪忧),但是通过另辟蹊径我也是找到了一条新的出路也算是让java在编写业务的时候可以流畅一把。
框架介绍
`easy-query`一款轻量级、高性能、强类型、易扩展符合C#开发者的JAVA自研ORM,拥有动态条件动态排序，自定义软删除，自定义条件拦截，单表多表，自定义sql，自定义函数，差异更新，分表分库（支持跨库跨表聚合查询），支持高性能加密解密字段模糊搜索等一系列功能
github地址 easy-query https://github.com/xuejmnet/easy-query
gitee地址 easy-query https://gitee.com/xuejm/easy-query
api预览
新版本api entity-query拥有非常流畅和语义化的api,并且继承所有之前的api可用,配合插件做到无需apt既可以动态变更代理对象实现无感开发编程
数据库对象
@Data
@Table("t_topic")
@EntityFileProxy
public class Topic implements ProxyEntityAvailable<Topic , TopicProxy> {
@Column(primaryKey = true)
private String id;
private Integer stars;
private String title;
private LocalDateTime createTime;
@Override
public Class<TopicProxy> proxyTableClass() {
return TopicProxy.class;
}
}
按id查询
Topic topic = entityQuery.queryable(Topic.class)
.whereById("1").firstOrNull();
==> Preparing: SELECT `id`,`stars`,`title`,`create_time` FROM `t_topic` WHERE `id` = ? LIMIT 1
==> Parameters: 1(String)
自定义条件查询
List<Topic> list = entityQuery.queryable(Topic.class)
.where(o -> {
o.id().eq("1");
o.createTime().le(LocalDateTime.now());
})
.toList();
==> Preparing: SELECT `id`,`stars`,`title`,`create_time` FROM `t_topic` WHERE `id` = ? AND `create_time` <= ?
==> Parameters: 1(String),2023-12-16T14:17:04.065(LocalDateTime)
count查询
long count = entityQuery.queryable(Topic.class)
.where(o -> {
o.title().like("11");
o.createTime().le(LocalDateTime.now());
}).count();
==> Preparing: SELECT COUNT(*) FROM `t_topic` WHERE `title` LIKE ? AND `create_time` <= ?
==> Parameters: %11%(String),2023-12-16T14:17:04.065(LocalDateTime)
返回自定义列
List<Topic> list = entityQuery.queryable(Topic.class)
.where(o->{
o.title().like("123");
o.createTime().ge(LocalDateTime.of(2022,2,1,3,4));
})
.orderBy(o -> {
o.id().asc();
o.createTime().desc();
})
.select(o->o.FETCHER.id().title())//仅返回id和title
.toList();
==> Preparing: SELECT t.`id`,t.`title` FROM `t_topic` t WHERE t.`title` LIKE ? AND t.`create_time` >= ? ORDER BY t.`id` ASC,t.`create_time` DESC
==> Parameters: %123%(String),2022-02-01T03:04(LocalDateTime)
List<Topic> list = entityQuery.queryable(Topic.class)
.where(o->{
o.title().like("123");
o.createTime().ge(LocalDateTime.of(2022,2,1,3,4));
})
.orderBy(o -> {
o.id().asc();
o.createTime().desc();
})
.select(o->o.FETCHER.allFieldsExclude(o.id()))//返回所有字段除了id
.toList();
==> Preparing: SELECT t.`stars`,t.`title`,t.`create_time` FROM `t_topic` t WHERE t.`title` LIKE ? AND t.`create_time` >= ? ORDER BY t.`id` ASC,t.`create_time` DESC
==> Parameters: %123%(String),2022-02-01T03:04(LocalDateTime)
分组
List<Topic> list = entityQuery.queryable(Topic.class)
.where(o->{
o.title().like("123");
o.createTime().ge(LocalDateTime.of(2022,2,1,3,4));
})
.groupBy(o-> o.id())//多个用GroupBy.of(.....)
.select(Topic.class,(o,tr)->Select.of(
o.id(),
o.id().count().as(tr.stars())//count(id) as stars
))
.toList();
==> Preparing: SELECT t.`id`,COUNT(t.`id`) AS `stars` FROM `t_topic` t WHERE t.`title` LIKE ? AND t.`create_time` >= ? GROUP BY t.`id`
==> Parameters: %123%(String),2022-02-01T03:04(LocalDateTime)
分页
EasyPageResult<Topic> pageResult = entityQuery.queryable(Topic.class)
.where(o -> {
o.title().like("123");
o.createTime().ge(LocalDateTime.of(2022, 2, 1, 3, 4));
})
.orderBy(o -> {
o.id().asc();
o.createTime().desc();
})
.select(o -> o.FETCHER.id().title())
.toPageResult(1, 20);
==> Preparing: SELECT COUNT(*) FROM `t_topic` t WHERE t.`title` LIKE ? AND t.`create_time` >= ?
==> Parameters: %123%(String),2022-02-01T03:04(LocalDateTime)
<== Time Elapsed: 2(ms)
<== Total: 1
==> Preparing: SELECT t.`id`,t.`title` FROM `t_topic` t WHERE t.`title` LIKE ? AND t.`create_time` >= ? ORDER BY t.`id` ASC,t.`create_time` DESC LIMIT 20
==> Parameters: %123%(String),2022-02-01T03:04(LocalDateTime)
<== Time Elapsed: 3(ms)
<== Total: 20
join多表查询
List<Topic> list = entityQuery.queryable(Topic.class)
.leftJoin(Topic.class, (t, t1) -> {//第一个参数t表示第一个表,第二个参数t1表示第二个表
t.id().eq(t1.id());
})
.where((t, t1) -> {
t.title().like("11");
t1.createTime().le(LocalDateTime.of(2021, 1, 1, 1, 1));
}).select(Topic.class, (t, t1, tr) -> Select.of(//t表示sql的第一个表,t1表示第二个表,tr表示返回的结果匿名表
t.FETCHER.id().stars(),//这两者写法是一样的`FETCHER`是为了链式你也可以不用fetcher
t1.FETCHER.id().as(tr.title())
)).toList();
==> Preparing: SELECT t.`id`,t.`stars`,t1.`id` AS `title` FROM `t_topic` t LEFT JOIN `t_topic` t1 ON t.`id` = t1.`id` WHERE t.`title` LIKE ? AND t1.`create_time` <= ?
==> Parameters: %11%(String),2021-01-01T01:01(LocalDateTime)
可能第一眼觉得select过于复杂
List<Topic> list = entityQuery.queryable(Topic.class)
.leftJoin(Topic.class, (t, t1) -> {
t.id().eq(t1.id());
})
.where((t, t1) -> {
t.title().like("11");
t1.createTime().le(LocalDateTime.of(2021, 1, 1, 1, 1));
}).select(Topic.class, (t, t1, tr) -> Select.of(
t.id(),//不使用`FETCHER`直接返回也是可以的
t1.stars(),
t1.id().as(tr.title())
)).toList();
排序
List<Topic> list = entityQuery.queryable(Topic.class)
.leftJoin(Topic.class, (t, t1) -> {
t.id().eq(t1.id());
})
.orderBy((t, t1) -> {
t.id().asc();
t1.createTime().desc();
})
//查询t表的所有除了id和title,并且返回t1的title取别名为id
.select(Topic.class,(t,t1,tr)->t.allFieldsExclude(t.id(),t.title())._concat(t1.title().as(tr.id())))
.toList();
==> Preparing: SELECT t.`stars`,t.`create_time`,t1.`title` AS `id` FROM `t_topic` t LEFT JOIN `t_topic` t1 ON t.`id` = t1.`id` ORDER BY t.`id` ASC,t1.`create_time` DESC
<== Time Elapsed: 6(ms)
<== Total: 101
子表统计查询
List<BlogEntity> list = entityQuery.queryable(BlogEntity.class)
.where(o -> {
//先对createTime进行格式化之后进行左匹配
o.createTime().dateTimeFormat("yyyy-MM-dd").likeMatchLeft("2023");
})
.select(o -> {
//构建子表统计
SQLSelectAsExpression subQuery = Select.subQueryAs(() -> {
return entityQuery.queryable(BlogEntity.class)
.where(x -> {
x.id().eq(o.id());//条件就是主表的id和自己一样
})
.select(x -> x.id().count());
}, o.createTime());//别名
return Select.of(
o.FETCHER.allFieldsExclude(o.title(), o.top()),
subQuery
);
}).toList();
生成的sql
-- 第1条sql数据
SELECT
t.`id`,
t.`create_time`,
t.`update_time`,
t.`create_by`,
t.`update_by`,
t.`deleted`,
t.`content`,
t.`url`,
t.`star`,
t.`publish_time`,
t.`score`,
t.`status`,
t.`order`,
t.`is_top`,
(SELECT
COUNT(t1.`id`)
FROM
`t_blog` t1
WHERE
t1.`deleted` = false
AND t1.`id` = t.`id`) AS `create_time`
FROM
`t_blog` t
WHERE
t.`deleted` = false
AND DATE_FORMAT(t.`create_time`,'%Y-%m-%d') LIKE '2023%'
动态条件动态排序
后端管理往往需要复杂的动态条件组合和动态排序,稍不注意就会产生sql注入等问题
本框架给大伙带来的动态解决方案可以说非常完美，支持单表，多表，单字段排序，多字段排序，并且不会出现sql注入等一系列问题
动态查询1
//前段上传的json对象
@Data
public class SysUserQueryRequest {
private String name;
private String account;
private String departName;
private String phone;
private LocalDateTime createTimeBegin;
private LocalDateTime createTimeEnd;
}
//由前端上传json
SysUserQueryRequest sysUserQueryRequest = new SysUserQueryRequest();
sysUserQueryRequest.setName("小明");
sysUserQueryRequest.setCreateTimeBegin(LocalDateTime.now().plusDays(-10));
sysUserQueryRequest.setCreateTimeEnd(LocalDateTime.now());
sysUserQueryRequest.setPhone("180");
//快速实现分页查询 条件过滤默认非null不加入条件如果是字符串还需满足非空
List<SysUser> pageResult = entityQuery.queryable(SysUser.class)
.filterConfigure(NotNullOrEmptyValueFilter.DEFAULT)//非null并且字符串非空即加入条件
.where(o -> {
o.name().like(sysUserQueryRequest.getName());
o.account().like(sysUserQueryRequest.getAccount());
o.phone().like(sysUserQueryRequest.getPhone());
o.departName().like(sysUserQueryRequest.getDepartName());
o.createTime().rangeClosed(sysUserQueryRequest.getCreateTimeBegin(), sysUserQueryRequest.getCreateTimeEnd());
})
.toList();
==> Preparing: SELECT `id`,`name`,`account`,`depart_name`,`phone`,`create_time` FROM `t_sys_user` WHERE `name` LIKE ? AND `phone` LIKE ? AND `create_time` >= ? AND `create_time` <= ? LIMIT 10
==> Parameters: %小明%(String),%180%(String),2023-11-11T21:51:34.740(LocalDateTime),2023-11-21T21:51:34.740(LocalDateTime)
动态查询2
@Data
public class SysUserQueryRequest {
@EasyWhereCondition
private String name;
@EasyWhereCondition
private String account;
@EasyWhereCondition
private String departName;
@EasyWhereCondition
private String phone;
@EasyWhereCondition(type = EasyWhereCondition.Condition.RANGE_LEFT_CLOSED,propName = "createTime" )
private LocalDateTime createTimeBegin;
@EasyWhereCondition(type = EasyWhereCondition.Condition.RANGE_RIGHT_CLOSED,propName = "createTime" )
private LocalDateTime createTimeEnd;
}
//由前端上传json
SysUserQueryRequest sysUserQueryRequest = new SysUserQueryRequest();
sysUserQueryRequest.setName("小明");
sysUserQueryRequest.setCreateTimeBegin(LocalDateTime.now().plusDays(-10));
sysUserQueryRequest.setCreateTimeEnd(LocalDateTime.now());
sysUserQueryRequest.setPhone("180");
//快速实现分页查询 动态对象条件
EasyPageResult<SysUser> pageResult = entityQuery.queryable(SysUser.class)
.whereObject(sysUserQueryRequest)
.toPageResult(1, 10);
==> Preparing: SELECT `id`,`name`,`account`,`depart_name`,`phone`,`create_time` FROM `t_sys_user` WHERE `name` LIKE ? AND `phone` LIKE ? AND `create_time` >= ? AND `create_time` <= ? LIMIT 10
==> Parameters: %小明%(String),%180%(String),2023-11-11T21:51:34.740(LocalDateTime),2023-11-21T21:51:34.740(LocalDateTime)
动态查询3
最原始的方法
//由前端上传json
SysUserQueryRequest sysUserQueryRequest = new SysUserQueryRequest();
sysUserQueryRequest.setName("小明");
sysUserQueryRequest.setCreateTimeBegin(LocalDateTime.now().plusDays(-10));
sysUserQueryRequest.setCreateTimeEnd(LocalDateTime.now());
sysUserQueryRequest.setPhone("180");
//快速实现分页查询 手动处理是否需要添加到查询条件中
List<SysUser> pageResult = entityQuery.queryable(SysUser.class)
.where(o -> {//条件里面判断是否要继续
o.name().like(EasyStringUtil.isNotBlank(sysUserQueryRequest.getName()),sysUserQueryRequest.getName());
o.account().like(EasyStringUtil.isNotBlank(sysUserQueryRequest.getAccount()),sysUserQueryRequest.getAccount());
o.phone().like(EasyStringUtil.isNotBlank(sysUserQueryRequest.getPhone()),sysUserQueryRequest.getPhone());
o.departName().like(EasyStringUtil.isNotBlank(sysUserQueryRequest.getDepartName()),sysUserQueryRequest.getDepartName());
o.createTime().rangeClosed(sysUserQueryRequest.getCreateTimeBegin() != null,sysUserQueryRequest.getCreateTimeBegin(),sysUserQueryRequest.getCreateTimeEnd() != null, sysUserQueryRequest.getCreateTimeEnd());
})
.toList();
动态排序
public class UISort implements ObjectSort {
private final Map<String, Boolean> sort;
public UISort(Map<String,Boolean> sort){
this.sort = sort;
}
@Override
public void configure(ObjectSortBuilder builder) {
for (Map.Entry<String, Boolean> s : sort.entrySet()) {
//自行判断key和value是否为null 因为是包装类型可能会出现npe
// key为需要排序的属性,value表示需要排序是不是asc
builder.orderBy(s.getKey(),s.getValue());
}
}
}
HashMap<String, Boolean> propertySortMap = new HashMap<String, Boolean>() {{
put("id", true);//id正序
put("title", false);//标题倒序
}};
String sql = easyQuery.queryable(BlogEntity.class)
.orderByObject(new UISort(propertySortMap))
.toSQL();
Assert.assertEquals("SELECT `id`,`create_time`,`update_time`,`create_by`,`update_by`,`deleted`,`title`,`content`,`url`,`star`,`publish_time`,`score`,`status`,`order`,`is_top`,`top` FROM `t_blog` WHERE `deleted` = ? ORDER BY `id` ASC,`title` DESC",sql);
whereObject配合orderByObject将form表单查询的难度降低到了一个人人可用的水平
最后
可能有很多小伙伴会推荐我jpa或者jooq我想说如果我没能力那么我可能会选择他们,如果他们支持国产数据库我可能会选择他们,但是你我更愿意推荐easy-query因为我会聆听开发者的声音起码你叫的动我,我是一个在crud混的菜鸟开发,crud的困难，orm的困难必须是一个混迹在业务开发的程序员才能开发出来的好框架，在没开发出这个api的时候已经有很多小伙伴使用lambda的api进行了开发反向非常不错，期待您的使用。
easy-query
文档地址 https://xuejm.gitee.io/easy-query-doc/
GITHUB地址 https://github.com/xuejmnet/easy-query
GITEE地址 https://gitee.com/xuejm/easy-query
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