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1、因存在count缓存、pageNo越界、查询count和查询记录的时间差等场景，导致totalCount跟pageNo、pageSize、rowSize的逻辑值差异，比如：totalCount=8，pageNo=2，rowSize=1，pageSize=10，应校正totalCount=11
<!-- 其他非spring框架可以基于sagacity-sqltoy 进行扩展 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<!-- jdk8 对应的版本号为：5.6.4.jre8 -->
<version>5.6.4</version>
</dependency>
<!-- 纯粹springboot项目只需引入sagacity-sqltoy-spring-starter依赖即可 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-spring-starter</artifactId>
<!-- jdk8 对应的版本号为：5.6.4.jre8 -->
<version>5.6.4</version>
</dependency>
<!-- solon 插件 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sqltoy-orm-solon-plugin</artifactId>
<!-- jdk8 对应的版本号为：5.6.4.jre8 -->
<version>5.6.4</version>
</dependency>
1、因分页取count会排除掉最外层的order by，而order by ？ ？模式需要排除掉动态参数
2、优化存储过程调用总记录数的日志输出
<!-- 其他非spring框架可以基于sagacity-sqltoy 进行扩展 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<!-- jdk8 对应的版本号为：5.6.3.jre8 -->
<version>5.6.3</version>
</dependency>
<!-- 纯粹springboot项目只需引入sagacity-sqltoy-spring-starter依赖即可 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-spring-starter</artifactId>
<!-- jdk8 对应的版本号为：5.6.3.jre8 -->
<version>5.6.3</version>
</dependency>
1、优化单笔记录插入PrepareStatement 未关闭的缺陷
感谢@legendary 的反馈
<!-- 其他非spring框架可以基于sagacity-sqltoy 进行扩展 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<!-- jdk8 对应的版本号为：5.6.2.jre8 -->
<version>5.6.2</version>
</dependency>
<!-- 纯粹springboot项目只需引入sagacity-sqltoy-spring-starter依赖即可 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-spring-starter</artifactId>
<!-- jdk8 对应的版本号为：5.6.2.jre8 -->
<version>5.6.2</version>
</dependency>
1、支持convertType别名@SqlToyFieldAlias双向PO<-->DTO 映射 (感谢 @gleam )
2、优化sql查询结果封装OneToOne，OneToMany 按照业务逻辑场景，而非存粹的数据库表主外键 (感谢 @俊华 )
感谢：@俊华、@Gleam 两位用户的反馈
<!-- 其他非spring框架可以基于sagacity-sqltoy 进行扩展 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<!-- jdk8 对应的版本号为：5.6.1.jre8 -->
<version>5.6.1</version>
</dependency>
<!-- 纯粹springboot项目只需引入sagacity-sqltoy-spring-starter依赖即可 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-spring-starter</artifactId>
<!-- jdk8 对应的版本号为：5.6.1.jre8 -->
<version>5.6.1</version>
</dependency>
1、拆分sqltoy-orm-core\sqltoy-orm-spring\sqltoy-orm-spring-starter 三个子项目，剥离对spring的依赖
2、分5.6.x 和 5.6.x.jre8 两个分支版本，5.6.x 以jdk17、springboot3.x 为起点
<!-- 其他非spring框架可以基于sagacity-sqltoy 进行扩展 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<!-- jdk8 对应的版本号为：5.6.0.jre8 -->
<version>5.6.0</version>
</dependency>
<!-- 纯粹springboot项目只需引入sagacity-sqltoy-spring-starter依赖即可 -->
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-spring-starter</artifactId>
<!-- jdk8 对应的版本号为：5.6.0.jre8 -->
<version>5.6.0</version>
</dependency>
3、传统spring项目只需引入sagacity-sqltoy-spring依赖
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-spring</artifactId>
<!-- jdk8 对应的版本号为：5.6.0.jre8 -->
<version>5.6.0</version>
</dependency>
<!-- spring sqltoy xml 配置-->
<!-- 配置sqltoy框架的上下文 -->
<bean id="sqlToyContext" class="org.sagacity.sqltoy.SqlToyContext"
init-method="initialize" destroy-method="destroy">
<!-- sqltoy5.6.x 传统spring项目需设置appContext、connectionFactory -->
<property name="appContext">
<bean class="org.sagacity.sqltoy.integration.impl.SpringAppContext"/>
</property>
<property name="connectionFactory">
<bean class="org.sagacity.sqltoy.integration.impl.SpringConnectionFactory"/>
</property>
<!-- 指定sql.xml 文件的路径实现目录的递归查找,多个路径则用逗号分隔 -->
<property name="sqlResourcesDir"
value="classpath:com/sqltoy/quickstart" />
<!--非必须属性:默认值为false -->
<property name="debug" value="${sqltoy.debug}" />
</bean>
1、优化@value(:param)输出，支持日期、数组、集合、枚举等类型
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.100</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.100</version>
</dependency>
1、修改org.sagacity.sqltoy.integration.impl.SpringAppContext 自动注入applictionContext，简化传统spring xml配置项目SqltoyContext实例创建
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.98</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.98</version>
</dependency>
1、优化英文日期星期二(Tues)、四（Thur）简写的解析缺陷，规范为(Tue、Thu)
感谢@兵兵 的反馈
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.96</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.96</version>
</dependency>
1、优化updateByQuery条件属性跟修改属性一致时的缺陷
感谢@俊华 的反馈
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.95</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.95</version>
</dependency>
1、优化安全脱敏邮件类型时maskCode非null判断
2、优化同比环比计算改用BIGDECIMAL进行计算保障精度
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.94</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.94</version>
</dependency>
1、修复@loop和sql日志中localDateTime纳秒输出缺陷
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.93</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.93</version>
</dependency>
1、修复含with as (select * from @fast( ... union all )) select * from table,极端场景下分页查询count未正确处理union 的缺陷
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.92</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.92</version>
</dependency>
1、修复updateByQuery中UnifyFieldsHandler未判null引发的空指针异常
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.91</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.91</version>
</dependency>
1、增强loop中LocalDateTime和LocalTime的输出精度
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.90</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.90</version>
</dependency>
1、优化数据库关键词设置顺序，提前到EntityManager.initialize()前面
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.89</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.88</version>
</dependency>
1、支持通过pojo自动生成表结构和自动建表（默认支持mysql、postgresql、oracle、sqlserver）
package org.sagacity.sqltoy.plugins.ddl;
import org.sagacity.sqltoy.model.TableMeta;
public interface DialectDDLGenerator {
/**
* @TODO 根据单个POJO产生创建表的sql
* @param tableMeta
* @param schema 仅针对sqlserver生成表或字段注释有效，其它数据库填null即可
* @param dbType
* @return
*/
public default String createTableSql(TableMeta tableMeta,String schema, int dbType) {
return null;
}
}
# 增加包扫描路径，打开autoDDL
spring:
sqltoy:
packagesToScan:
- com.sqltoy.quickstart.vo
autoDDL: true
#dialectDDLGenerator： com.xxxx.自定义扩展实现类
## 演示生成文件
@Test
public void testCreateSqlFile() {
String[] scanPackages = new String[] { "com.sqltoy.quickstart.vo" };
try {
DDLFactory.createSqlFile(scanPackages, "D://sqltoy.sql", DBType.POSTGRESQL,null, null);
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.88</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.88</version>
</dependency>
1、支持通过pojo自动生成表结构和自动建表（默认支持mysql、postgresql、oracle、sqlserver）
package org.sagacity.sqltoy.plugins.ddl;
import org.sagacity.sqltoy.model.TableMeta;
public interface DialectDDLGenerator {
/**
* @TODO 根据单个POJO产生创建表的sql
* @param tableMeta
* @param schema 仅针对sqlserver生成表或字段注释有效，其它数据库填null即可
* @param dbType
* @return
*/
public default String createTableSql(TableMeta tableMeta,String schema, int dbType) {
return null;
}
}
# 增加包扫描路径，打开autoDDL
spring:
sqltoy:
packagesToScan:
- com.sqltoy.quickstart.vo
autoDDL: true
#dialectDDLGenerator： com.xxxx.自定义扩展实现类
## 演示生成文件
@Test
public void testCreateSqlFile() {
String[] scanPackages = new String[] { "com.sqltoy.quickstart.vo" };
try {
DDLFactory.createSqlFile(scanPackages, "D://sqltoy.sql", DBType.POSTGRESQL,null, null);
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.88.RC5</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.88.RC5</version>
</dependency>
1、支持通过pojo自动生成表结构和自动建表（目前框架已经实现对mysql、postgresql的支持）
package org.sagacity.sqltoy.plugins.ddl;
import org.sagacity.sqltoy.model.TableMeta;
public interface DialectDDLGenerator {
/**
* @TODO 根据单个POJO产生创建表的sql
* @param tableMeta
* @param schema 仅针对sqlserver生成表或字段注释有效，其它数据库填null即可
* @param dbType
* @return
*/
public default String createTableSql(TableMeta tableMeta,String schema, int dbType) {
return null;
}
}
# 增加包扫描路径，打开autoDDL
spring:
sqltoy:
packagesToScan:
- com.sqltoy.quickstart.vo
autoDDL: true
#dialectDDLGenerator： com.xxxx.自定义扩展实现类
## 演示生成文件
@Test
public void testCreateSqlFile() {
String[] scanPackages = new String[] { "com.sqltoy.quickstart.vo" };
try {
DDLGenerator.createSqlFile(scanPackages, "D://sqltoy.sql", DBType.POSTGRESQL,null, null);
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.88.RC4</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.88.RC4</version>
</dependency>
1、支持通过pojo自动生成表结构和自动建表（目前框架已经实现对mysql、postgresql的支持）
package org.sagacity.sqltoy.plugins.ddl;
import org.sagacity.sqltoy.model.TableMeta;
public interface DialectDDLGenerator {
/**
* @TODO 根据单个POJO产生创建表的sql
* @param tableMeta
* @param schema 仅针对sqlserver生成表或字段注释有效，其它数据库填null即可
* @param dbType
* @return
*/
public default String createTableSql(TableMeta tableMeta,String schema, int dbType) {
return null;
}
}
# 增加包扫描路径，打开autoDDL
spring:
sqltoy:
packagesToScan:
- com.sqltoy.quickstart.vo
autoDDL: true
#dialectDDLGenerator： com.xxxx.自定义扩展实现类
## 演示生成文件
@Test
public void testCreateSqlFile() {
String[] scanPackages = new String[] { "com.sqltoy.quickstart.vo" };
try {
DDLGenerator.createSqlFile(scanPackages, "D://sqltoy.sql", DBType.POSTGRESQL,null, null);
} catch (Exception e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
}
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy</artifactId>
<version>5.2.88.RC2</version>
</dependency>
<dependency>
<groupId>com.sagframe</groupId>
<artifactId>sagacity-sqltoy-starter</artifactId>
<version>5.2.88.RC2</version>
</dependency>