1、完整DQL语句

/**
* 使用QueryWrapper构建超复杂SQL语句
*/
@Test
public void testQueryWrapper1() {
QueryWrapper wrapper = QueryWrapper.create()
.select(SYS_USER_ENTITY.ALL_COLUMNS, SYS_ROLE_ENTITY.ALL_COLUMNS, SYS_MENU_ENTITY.ALL_COLUMNS)
.from(SYS_USER_ENTITY)
.leftJoin(SYS_USER_ROLE_ENTITY).on(SYS_USER_ENTITY.ID.eq(SYS_USER_ROLE_ENTITY.USER_ID))
.leftJoin(SYS_ROLE_ENTITY).on(SYS_ROLE_ENTITY.ID.eq(SYS_USER_ROLE_ENTITY.ROLE_ID))
.leftJoin(SYS_ROLE_MENU_ENTITY).on(SYS_ROLE_ENTITY.ID.eq(SYS_ROLE_MENU_ENTITY.ROLE_ID))
.leftJoin(SYS_MENU_ENTITY).on(SYS_ROLE_MENU_ENTITY.MENU_ID.eq(SYS_MENU_ENTITY.ID))
.where(SYS_USER_ENTITY.ID.gt(0))
.groupBy(SYS_USER_ENTITY.USERNAME)
.having(SYS_USER_ENTITY.USERNAME.like("a"))
.orderBy(SYS_USER_ENTITY.PASSWORD.desc())
.union(QueryWrapper.create().from(ACCOUNT))
.limit(3);
printSql(wrapper);
}

结果

SELECT
` sys_user `.*,
` sys_role `.*,
` sys_menu `.*
FROM
` sys_user `
LEFT JOIN ` sys_user_role ` ON ` sys_user `.` id ` = ` sys_user_role `.` user_id `
LEFT JOIN ` sys_role ` ON ` sys_role `.` id ` = ` sys_user_role `.` role_id `
LEFT JOIN ` sys_role_menu ` ON ` sys_role `.` id ` = ` sys_role_menu `.` role_id `
LEFT JOIN ` sys_menu ` ON ` sys_role_menu `.` menu_id ` = ` sys_menu `.` id `
WHERE
` sys_user `.` id ` > 0
GROUP BY
` sys_user `.` username `
HAVING
` sys_user `.` username ` LIKE '%a%'
ORDER BY
` sys_user `.` password ` DESC

2、动态条件

/**
* 动态条件
*/
@Test
public void testDynamic() {
// 例如;
QueryWrapper wrapper = QueryWrapper.create().select(SYS_USER_ENTITY.ALL_COLUMNS).from(SYS_USER_ENTITY); String name = "";
boolean flag = name != null && !name.trim().isEmpty(); // 方式一:为null或""不拼接条件
wrapper.where(flag ? SYS_USER_ENTITY.NAME.eq(name) : QueryMethods.noCondition());
// 方式二
wrapper.and(qw -> {
qw.or(SYS_USER_ENTITY.NAME.eq(name).when(flag)).or(SYS_USER_ENTITY.USERNAME.eq(name).when(StringUtil.isNotBlank(name)));
});
// 方式三
wrapper.where(SYS_USER_ENTITY.NAME.eq(name).when(If::hasText));
wrapper.and(SYS_USER_ENTITY.NAME.eq(name).when(StringUtil.isNotBlank(name)));
// 方式四
wrapper.where(SYS_USER_ENTITY.NAME.eq(name, If::hasText)); printSql(wrapper);
}

结果

SELECT
*
FROM
` sys_user `
WHERE
` name ` = 'zs'
AND ` name ` = 'zs'
AND ` name ` = 'zs'
AND (
` name ` = 'zs'
OR ` username ` = 'zs'
)
AND ` name ` = 'zs'

3、SQL函数

官方说明select function

/**
* sql函数
*/
@Test
public void testSqlFunction1() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.ID, ACCOUNT.USER_NAME,
QueryMethods.max(ACCOUNT.BIRTHDAY),
QueryMethods.avg(ACCOUNT.AGE).as("avgAge"))
.from(ACCOUNT);
printSql(wrapper);
/**
* SELECT
* ` id `,
* ` user_name `,
* MAX(` birthday `),
* AVG(` age `) AS ` avgAge `
* FROM
* ` tb_account `
*/
} @Test
public void testSqlFunction2() {
QueryWrapper wrapper = QueryWrapper.create()
.select(concat(ACCOUNT.USER_NAME, string("ly")))
.from(ACCOUNT)
.where(not(ACCOUNT.AGE.eq(3)));
printSql(wrapper);
/**
* SELECT
* CONCAT(` user_name `, 'ly')
* FROM
* ` tb_account `
* WHERE
* NOT (` age ` = 3)
*/
}

4、Lambda 扩展

@Test
public void testLambda() {
QueryWrapper wrapper = QueryWrapper.create()
.from(Account.class)
.select(Account::getId, Account::getUserName)
.where(Account::getAge).gt(20)
.or(Account::getUserName).like("ly")
.or(Account::getBirthday).between(DateUtil.parseDate("2023-08-10"), DateUtil.parseDate("2023-08-16"));
printSql(wrapper);
}

结果

SELECT
` id `,
` user_name `
FROM
` tb_account `
WHERE
` age ` > 20
OR ` user_name ` LIKE '%ly%'
OR ` birthday ` BETWEEN '2023-08-10 00:00:00' AND '2023-08-16 00:00:00'

5、字符串扩展

前面的所有操作都可以使用字符串的形式进行拼接,当然混着用也是可以的

/**
* 字符串扩展
*/
@Test
public void testString() {
long id = 1L;
QueryWrapper wrapper = QueryWrapper.create()
.select("id", "user_name", "age")
.from("tb_account")
.where("id = ?", id);
printSql(wrapper);
}

结果

SELECT
id,
user_name,
age
FROM
` tb_account `
WHERE
id = 1

6、CPI工具

用于设置修改QueryWrapper相关属性信息

@Test
public void testCPI() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.ALL_COLUMNS)
.from(ACCOUNT)
.where(ACCOUNT.AGE.gt(10))
.limit(10);
CPI.setLimitRows(wrapper, 1L); printSql(wrapper);
}

7、QueryWrapper方法全解

(1) select *

查询所有列

  • SQL
SELECT * FROM ` tb_account `
  • MF
/**
* select *
*/
@Test
public void testSelectAll() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.ALL_COLUMNS)
.from(ACCOUNT);
printSql(wrapper);
}
(2) select as

给某些列取别名

  • SQL
SELECT ` user_name ` AS ` user_name ` FROM ` tb_account `
  • MF
/**
* select as
*/
@Test
public void testSelectAs() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.USER_NAME.as(Account::getUserName))
.from(ACCOUNT);
printSql(wrapper);
}
(3) select multi table

查询多张表

  • SQL
SELECT
` T1 `.*,
` T2 `.*
FROM
` tb_user ` AS ` T1 `,
` tb_card ` AS ` T2 `
WHERE ` T1 `.` id ` = ` T2 `.` user_id `
  • MF
/**
* select multi-table
*/
@Test
public void testSelectMultiTableColumn() {
QueryWrapper wrapper = QueryWrapper.create()
.select(USER.ALL_COLUMNS, CARD.ALL_COLUMNS)
.from(USER.as("T1"), CARD.as("T2"))
.where(USER.ID.eq(CARD.USER_ID));
printSql(wrapper);
}
(4) select function

查询时使用函数

  • SQL
SELECT
MAX(` age `),
AVG(` age `),
MIN(` age `) AS ` age_avg `
FROM
` tb_user `
  • MF
/**
* select function
*/
@Test
public void testSelectFunction() {
QueryWrapper wrapper = QueryWrapper.create()
.select(max(USER.AGE), avg(USER.AGE), min(USER.AGE).as("age_avg"))
.from(USER);
printSql(wrapper);
}

所有函数参考官网AllFunction

(5) 列计算

在列上做一些计算操作

  • SQL
SELECT
(` age ` + 10) AS ` age `,
SUM(` id ` * ` age `) AS ` total `
FROM
` tb_account `
  • MF
/**
* select 列计算
*/
@Test
public void testColumnCalculation() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.AGE.add(10).as("age"),
sum(ACCOUNT.ID.multiply(ACCOUNT.AGE)).as("total"))
.from(ACCOUNT);
printSql(wrapper);
}
(6) select case...when

case ... when条件语句

  • SQL
 SELECT
` user_name `,
(
CASE
WHEN ` age ` >= 18 THEN '青年'
WHEN ` age ` >= 30 THEN '中年'
WHEN ` age ` >= 60 THEN '老年'
ELSE '其他'
END
) AS ` desc `
FROM
` tb_account `
  • MF
/**
* select case...when
*/
@Test
public void selectCaseWhen() {
QueryWrapper wrapper = QueryWrapper.create()
.from(ACCOUNT)
.select(ACCOUNT.USER_NAME,
case_().when(ACCOUNT.AGE.ge(18))
.then("青年")
.when(ACCOUNT.AGE.ge(30))
.then("中年")
.when(ACCOUNT.AGE.ge(60))
.then("老年")
.else_("其他")
.end().as("desc")
);
printSql(wrapper);
}
(7) where 条件

查询条件

  • SQL
SELECT
` id `,
` age `,
` birthday `,
` user_name `
FROM
` tb_account `
WHERE
(
` id ` <= 3
OR ` age ` >= 10
)
AND ` user_name ` LIKE '张%'
  • MF
/**
* where 条件
*/
@Test
public void testWhere() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.DEFAULT_COLUMNS)
.from(ACCOUNT)
.where(ACCOUNT.ID.le(3).or(ACCOUNT.AGE.ge(10)))
.and(ACCOUNT.USER_NAME.likeLeft("张"));
printSql(wrapper);
}
(8) dynamic where 条件

动态查询条件

  • SQL
SELECT
` id `,
` age `,
` birthday `,
` user_name `
FROM
` tb_account `
WHERE
` user_name ` LIKE 'zhang%'
  • MF
/**
* dynamic where 条件
*/
@Test
public void testDynamicWhere1() {
boolean flag = false;
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.DEFAULT_COLUMNS)
.from(ACCOUNT)
.where(flag ? ACCOUNT.AGE.gt(10) : noCondition())
.and(ACCOUNT.USER_NAME.likeLeft("zhang"));
printSql(wrapper);
}
 @Test
public void testDynamicWhere2() {
String name = "";
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.ALL_COLUMNS)
.from(ACCOUNT)
.where(ACCOUNT.USER_NAME.like(name).when(StringUtil.isNotBlank(name)));
printSql(wrapper);
}
@Test
public void testDynamicWhere3() {
String name = "aaa";
QueryWrapper wrapper = QueryWrapper.create()
.from(ACCOUNT)
.where(ACCOUNT.USER_NAME.like(name).when(If.hasText(name)))
.and(ACCOUNT.AGE.ge(10));
/**
*SELECT
* *
* FROM
* ` tb_account `
* WHERE
* ` user_name ` LIKE '%aaa%'
* AND ` age ` >= 10
*/
printSql(wrapper);
}
@Test
public void testDynamicWhere4() {
String name = "aaa";
QueryWrapper wrapper = QueryWrapper.create()
.select()
.from(ACCOUNT)
.where(ACCOUNT.ID.ge(2))
.or(ACCOUNT.USER_NAME.like(name, StringUtil.isNotBlank(name)));
/**
*SELECT
* *
* FROM
* ` tb_account `
* WHERE
* ` id ` >= 2
* OR ` user_name ` LIKE '%aaa%'
*/
printSql(wrapper);
}
(9) where select 子查询

子查询

  • SQL
SELECT
*
FROM
` tb_account `
WHERE
` id ` >= (
SELECT
` id `
FROM
` tb_account `
WHERE
` birthday ` >= '2023-08-29 15:29:15'
)
  • MF
/**
* where select 类似子查询
*/
@Test
public void testWhereSelect() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.ALL_COLUMNS)
.from(ACCOUNT)
.where(ACCOUNT.ID.ge(
select(ACCOUNT.ID).from(ACCOUNT).where(ACCOUNT.BIRTHDAY.ge(new Date()))
));
printSql(wrapper);
}
(10) where exists, not exists 条件

存在|不存在

  • SQL
SELECT
*
FROM
` tb_account `
WHERE
` id ` >= 100
AND EXISTS (
SELECT
1
FROM
` tb_account `
WHERE
` id ` = 1
)
  • MF
/**
* where exists, not exists
*/
@Test
public void testWhereExistsAndNotExists() {
QueryWrapper wrapper = QueryWrapper.create()
.from(ACCOUNT)
.where(ACCOUNT.ID.ge(100))
.and(exists( // notExists
selectOne().from(ACCOUNT).where(ACCOUNT.ID.eq(1))
));
printSql(wrapper);
}
(11) and (...) or (...)

条件连接and|or

  • SQL
SELECT
*
FROM
` tb_account `
WHERE
` id ` >= 1
AND (
` age ` >= 18
OR ` user_name ` LIKE '%zs%'
)
OR (
` age ` IN (20, 21, 22)
AND ` user_name ` LIKE '%a'
)
  • MF
/**
* and (...) or (...)
*/
@Test
public void testAndOr() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.ALL_COLUMNS)
.from(ACCOUNT)
.where(ACCOUNT.ID.ge(1))
.and(ACCOUNT.AGE.ge(18).or(ACCOUNT.USER_NAME.like("zs")))
.or(ACCOUNT.AGE.in(20, 21, 22).and(ACCOUNT.USER_NAME.likeRight("a")));
printSql(wrapper);
}
(12) group by

分组

  • SQL
SELECT
*
FROM
` tb_account `
GROUP BY
` user_name `
  • MF
/**
* group by
*/
@Test
public void testGroupBy() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.ALL_COLUMNS)
.from(ACCOUNT)
.groupBy(ACCOUNT.USER_NAME);
printSql(wrapper);
}
(13) having

分组后筛选

  • SQL
SELECT
*
FROM
` tb_account `
GROUP BY
` age `
HAVING
` age ` > 18
  • MF
/**
* having
*/
@Test
public void testHaving() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.ALL_COLUMNS)
.from(ACCOUNT)
.groupBy(ACCOUNT.AGE)
.having(ACCOUNT.AGE.gt(18));
printSql(wrapper);
}
(14) join (inner join、left join、right join、full join)

连接查询

  • SQL
SELECT
` T1 `.` id `,
` T1 `.` age `,
` T1 `.` email `,
` T1 `.` dept_id `,
` T1 `.` user_name `,
` T1 `.` gmt_create `,
` T1 `.` gmt_modified `,
` T2 `.` id ` AS ` tb_card $ id `,
` T2 `.` card_no `,
` T2 `.` user_id `,
` T2 `.` content `
FROM
` tb_user ` AS ` T1 `
INNER JOIN ` tb_card ` AS ` T2 ` ON ` T1 `.` id ` = ` T2 `.` user_id `
LEFT JOIN ` tb_card ` ON ` T1 `.` id ` = ` T2 `.` user_id `
RIGHT JOIN ` tb_card ` ON ` T2 `.` user_id ` = ` T1 `.` id `
FULL JOIN ` tb_card ` ON ` T1 `.` id ` = ` T2 `.` user_id `
WHERE
` T1 `.` age ` > 18
  • MF
/**
* test join (inner join、left join、right join、full join)
*/
@Test
public void testJoin() {
QueryWrapper wrapper = QueryWrapper.create()
.select(USER.DEFAULT_COLUMNS, CARD.DEFAULT_COLUMNS)
.from(USER).as("T1")
// inner join
.innerJoin(CARD).as("T2")
.on(USER.ID.eq(CARD.USER_ID))
// left join
.leftJoin(CARD)
.on(USER.ID.eq(CARD.USER_ID))
// right join
.rightJoin(CARD)
.on(CARD.USER_ID.eq(USER.ID))
// full join
.fullJoin(CARD)
.on(USER.ID.eq(CARD.USER_ID))
.where(USER.AGE.gt(18));
printSql(wrapper);
}
(15) join on 多个条件

链表查询on多个条件

  • SQL
SELECT
` tb_user `.` id `,
` tb_user `.` age `,
` tb_user `.` email `,
` tb_user `.` dept_id `,
` tb_user `.` user_name `,
` tb_user `.` gmt_create `,
` tb_user `.` gmt_modified `
FROM
` tb_user `
LEFT JOIN ` tb_card ` ON ` tb_user `.` id ` = ` tb_card `.` user_id `
AND ` tb_user `.` id ` >= 3
WHERE
` tb_card `.` id ` > 5
  • MF
/**
* join on 多个条件
*/
@Test
public void testJoinOn() {
QueryWrapper wrapper = QueryWrapper.create()
.select(USER.DEFAULT_COLUMNS)
.from(USER)
.leftJoin(CARD)
.on(
USER.ID.eq(CARD.USER_ID)
.and(USER.ID.ge(3))
).where(CARD.ID.gt(5));
printSql(wrapper);
}
(16) join select

join中嵌套子查询,类似产生一张中间表

  • SQL

SELECT
` tb_user `.` id `,
` tb_user `.` age `,
` tb_user `.` email `,
` tb_user `.` dept_id `,
` tb_user `.` user_name `,
` tb_user `.` gmt_create `,
` tb_user `.` gmt_modified `
FROM
` tb_user `
LEFT JOIN (
SELECT
` user_id `
FROM
` tb_card ` AS ` temp `
WHERE
` id ` > 3
) ON ` tb_user `.` id ` = 'temp.user_id'
WHERE
` tb_user `.` age ` > 18
GROUP BY
` tb_user `.` user_name `
HAVING
` tb_user `.` user_name ` LIKE '%Z'
  • MF
/**
* join select
*/
@Test
public void testJoinSelect() {
QueryWrapper wrapper = QueryWrapper.create()
.select(USER.DEFAULT_COLUMNS)
.from(USER)
.leftJoin(
select(CARD.USER_ID).from(CARD).where(CARD.ID.gt(3)).as("temp")
).on(USER.ID.eq("temp.user_id"))
.where(USER.AGE.gt(18))
.groupBy(USER.USER_NAME)
.having(USER.USER_NAME.likeRight("Z"));
printSql(wrapper);
}
(17) limit... offset

分页

limit... offset MyBatis-Flex 能够自动识别当前数据库,并根据数据库的类型生成不同的 SQL,用户也可以很轻易的通过 DialectFactory 注册(新增或改写)自己的实现方言。

  • SQL
SELECT
` id `,
` age `,
` birthday `,
` user_name `
FROM
` tb_account `
WHERE
` id ` > 1
ORDER BY
` id ` DESC,
` age ` ASC
LIMIT
0, 10
  • MF
/**
* limit... offset MyBatis-Flex 能够自动识别当前数据库,
* 并根据数据库的类型生成不同的 SQL,用户也可以很轻易的通过 DialectFactory 注册(新增或改写)自己的实现方言。
*/
@Test
public void testLimitOffset() {
QueryWrapper wrapper = QueryWrapper.create()
.select(ACCOUNT.DEFAULT_COLUMNS)
.from(ACCOUNT)
.where(ACCOUNT.ID.gt(1))
.orderBy(ACCOUNT.ID.desc(), ACCOUNT.AGE.asc())
.limit(10)
.offset(0);
printSql(wrapper);
}
(18) Entity 转化为 QueryWrapper

让实体属性值直接作为查询条件

  • SQL
 SELECT
` id `,
` user_name `,
` age `,
` birthday `
FROM
` tb_account `
WHERE
` user_name ` = 'ly'
AND ` age ` = 18
  • MF
/**
* Entity 转化为 QueryWrapper
* 这种方式,默认通过"and"进行连接
*/
@Test
public void testEntityToQueryWrapper() {
Account account = new Account();
account.setAge(18);
account.setUserName("ly"); QueryWrapper wrapper = QueryWrapper.create(account)
.from(ACCOUNT);
printSql(wrapper);
}
(19) 自定义操作符

自定义操作符,让实体属性值通过and|or...进行连接

  • SQL
SELECT
` id `,
` user_name `,
` age `,
` birthday `
FROM
` tb_account `
WHERE
` user_name ` LIKE '%ly%'
AND ` age ` >= 18
  • MF
/**
* 自定义操作符
*/
@Test
public void testEntityToQueryWrapper2() {
Account account = new Account();
account.setAge(18);
account.setUserName("ly");
SqlOperators operators = SqlOperators.of()
.set(Account::getUserName, SqlOperator.LIKE)
.set(Account::getAge, SqlOperator.GE);
QueryWrapper wrapper = QueryWrapper.create(account,operators)
.from(ACCOUNT);
printSql(wrapper);
}
(20) 注意点

在 QueryWrapper 的条件构建中,如果传入 null 值,则自动忽略该条件,

这有许多的好处,不需要额外的通过 when() 方法判断。

但是也带来一些额外的知识记忆点, 因此,正对这一点需要特别注意一下

  • SQL
SELECT
*
FROM
` tb_account `
WHERE
` id ` > 1
  • MF
/**
* 在 QueryWrapper 的条件构建中,如果传入 null 值,则自动忽略该条件,
* 这有许多的好处,不需要额外的通过 when() 方法判断。
* 但是也带来一些额外的知识记忆点, 因此,正对这一点需要特别注意一下
*/
@Test
public void testQeuryWrapperIgnoreNull() {
String name = null;
Integer age = null;
QueryWrapper wrapper = QueryWrapper.create()
.from(ACCOUNT)
.where(ACCOUNT.AGE.eq(age))
.and(ACCOUNT.USER_NAME.like(name))
.and(ACCOUNT.ID.gt(1));
printSql(wrapper);
}

Mybatis-Flex之QueryWrapper的更多相关文章

  1. MyBatis:条件构造器QueryWrapper方法详解

    QueryWrapper 说明:      继承自 AbstractWrapper ,自身的内部属性 entity 也用于生成 where 条件及 LambdaQueryWrapper, 可以通过 n ...

  2. 整合spring roo,maven,mybatis,spring-flex,blazeds,mysql

    1.      下载spring roo,设置环境变量ROO_HOME,和path,classpath. 使用CMD命令行找到工作区间,新建工程目录转到工程目录:mkdir ten-minutes $ ...

  3. spring整合flex

    在常规的开发中只是用flex二不和后台交互是不可能的,为此flex也提供了和后台交互的2种解决方案一种是Data Services另一种是BlazeDs,本篇博客是用的是后一种,我的开发步骤如下: 1 ...

  4. Flex入门(三)——微架构之Cairngorm

    大家都知道我们在开发后台的时候,都会使用MVC,三层等分层架构,使后台代码达到职责更为分明单一,高内聚低耦合,比如,Dao层仅仅是进行和数据库打交道,负责处理数据:Service(B层)仅仅是进行逻辑 ...

  5. Java和Flex整合报错(四)

    1.错误描述 usage: java org.apache.catalina.startup.Catalina [ -config {pathname} ] [ -nonaming ] { -help ...

  6. Java和Flex整合报错(三)

    1.错误描述 信息: Initializing Spring FrameworkServlet 'mvc' 11-13 23:43:42 INFO [localhost-startStop-1] or ...

  7. Java和Flex整合报错(二)

    1.错误原因 usage: java org.apache.catalina.startup.Catalina [ -config {pathname} ] [ -nonaming ] { -help ...

  8. Vue+SpringBoot+Mybatis的简单员工管理项目

    本文项目参考自:https://github.com/boylegu/SpringBoot-vue 为了完成此项目你需要会springBoot,mybatis的一些基本操作 运行界面 第一步:搭建前端 ...

  9. 使用mybatis plus 操作数据库

    mybatis plus 是基于mybatis 的一个增强包,比 mybatis 更加容易使用. 特点: 1.分页支持 2.支持自定义查询. 3.简单的情况下,不需要写map.xml 文件 4.支持租 ...

  10. Spring security + oauth2.0 + redis + mybatis plus 搭建微服务

    上个星期一个朋友请求帮忙,让我搭建一个分布式授权中心的微服务,之前我也没搭建过,在网上撸了几天前辈们写的技术博客,搞出个模型,分享给大家: 前辈们博客地址: OAuth2.0 原理:https://b ...

随机推荐

  1. Jitpack发布Android库带文档和源码

    原文地址: Jitpack发布Android库带文档和源码 - Stars-One的杂货小窝 忽然发现自己发布的xAndroidUtil库 写代码的时候看方法注释都看不到,研究了下如何让Jitpack ...

  2. SonarQube系列-认证&授权的配置

    参考文档:https://docs.sonarqube.org/latest/instance-administration/security/ 概述 SonarQube具有许多全局安全功能: 认证和 ...

  3. Python比较字符串格式类型时间大小

    已知的格式是 06/24/2021 15:47:01.491 时间比较的思路是,把数据转换成时间戳比较: 第一步是把 06/24/2021 15:47:01.491 格式转换称 2021-06-24 ...

  4. 漏洞扫描与安全加固之Apache Axis组件

    一.Apache Axis组件高危漏洞自查及整改 Apache Axis组件存在由配置不当导致的远程代码执行风险. 1. 影响版本 Axis1 和Axis2各版本均受影响 2. 处置建议 1)禁用此服 ...

  5. CF1575I Illusions of the Desert

    prologue 还是太菜了,这个 154 行的树剖 20min 才敲完. analysis 首先,处理这个给到我们的这个式子. \[\max(| a _ u + a _ v |, | a _ u - ...

  6. Go方法特性详解:简单性和高效性的充分体现

    本文深入探讨了Go语言中方法的各个方面,包括基础概念.定义与声明.特性.实战应用以及性能考量.文章充满技术深度,通过实例和代码演示,力图帮助读者全面理解Go方法的设计哲学和最佳实践. 关注[TechL ...

  7. HBuilderX内置终端无法使用不能输入

    找到HBuilderX的目录打开plugins\builtincef3terminal\script找到main.js用记事本或其他什么打开他 把这部分代码替换成这个再重启hbuilderX就可以了 ...

  8. CF276C

    题目简化和分析: 属于一种贪心思维,我们想如果要使得和最大,那么就必须保证最大的数乘的次数越多越好,并且排序没有限制,快速累加每个位置出现的次数,所以应该使用线段树差分. 然后排序最大乘最大累加. S ...

  9. 深入理解 Python 虚拟机:进程、线程和协程

    深入理解 Python 虚拟机:进程.线程和协程 在本篇文章当中深入分析在 Python 当中 进程.线程和协程的区别,这三个概念会让人非常迷惑.如果没有深入了解这三者的实现原理,只是看一些文字说明, ...

  10. 虹科喜报 | 虹科技术工程师【国内首批】拿下Redis认证开发者证书!

    要说虹科数据库技术工程师有多强悍,认证考试2022年12月上线,次年2月就以全国首批速度强势通过考试,并于两周后正式收到[Redis认证开发人员]证书! 虹科小云忍不住浅浅炫耀一下: 或许大家对Red ...