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初始化数据字典
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parent
15e2c0945d
commit
0439a5505a
2
pom.xml
2
pom.xml
@ -19,7 +19,7 @@
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<url>https://github.com/YunaiV/ruoyi-vue-pro</url>
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<properties>
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<revision>1.0.0</revision>
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<revision>1.0.0-snapshot</revision>
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<!-- Maven 相关 -->
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<java.version>1.8</java.version>
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<maven.compiler.source>${java.version}</maven.compiler.source>
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@ -167,7 +167,7 @@ public class SysUserController {
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@PreAuthorize("@ss.hasPermission('system:user:import')")
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public CommonResult<SysUserImportRespVO> importExcel(@RequestParam("file") MultipartFile file,
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@RequestParam(value = "updateSupport", required = false, defaultValue = "false") Boolean updateSupport) throws Exception {
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List<SysUserImportExcelVO> list = ExcelUtils.raed(file, SysUserImportExcelVO.class);
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List<SysUserImportExcelVO> list = ExcelUtils.read(file, SysUserImportExcelVO.class);
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return success(userService.importUsers(list, updateSupport));
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}
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@ -14,7 +14,7 @@
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<url>https://github.com/YunaiV/ruoyi-vue-pro</url>
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<properties>
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<revision>1.0.0</revision>
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<revision>1.1.0-snapshot</revision>
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<!-- 统一依赖管理 -->
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<spring.boot.version>2.4.5</spring.boot.version>
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<!-- Web 相关 -->
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@ -39,7 +39,7 @@ public class ExcelUtils {
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response.setContentType("application/vnd.ms-excel;charset=UTF-8");
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}
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public static <T> List<T> raed(MultipartFile file, Class<T> head) throws IOException {
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public static <T> List<T> read(MultipartFile file, Class<T> head) throws IOException {
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return EasyExcel.read(file.getInputStream(), head, null)
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.autoCloseStream(false) // 不要自动关闭,交给 Servlet 自己处理
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.doReadAllSync();
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@ -1,14 +1,9 @@
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package cn.iocoder.yudao.userserver;
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import cn.iocoder.yudao.framework.dict.config.YudaoDictAutoConfiguration;
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import cn.iocoder.yudao.framework.security.config.YudaoSecurityAutoConfiguration;
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import cn.iocoder.yudao.framework.security.config.YudaoWebSecurityConfigurerAdapter;
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import org.springframework.boot.SpringApplication;
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import org.springframework.boot.autoconfigure.SpringBootApplication;
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@SpringBootApplication(exclude = {
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YudaoDictAutoConfiguration.class,
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})
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@SpringBootApplication
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public class UserServerApplication {
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public static void main(String[] args) {
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@ -0,0 +1,20 @@
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package cn.iocoder.yudao.userserver.modules.system.convert.dict;
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import cn.iocoder.yudao.framework.dict.core.dto.DictDataRespDTO;
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import cn.iocoder.yudao.userserver.modules.system.dal.dataobject.dict.SysDictDataDO;
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import org.mapstruct.Mapper;
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import org.mapstruct.factory.Mappers;
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import java.util.Collection;
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import java.util.List;
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@Mapper
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public interface SysDictDataConvert {
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SysDictDataConvert INSTANCE = Mappers.getMapper(SysDictDataConvert.class);
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DictDataRespDTO convert02(SysDictDataDO bean);
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List<DictDataRespDTO> convertList03(Collection<SysDictDataDO> list);
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}
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@ -0,0 +1 @@
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package cn.iocoder.yudao.userserver.modules.system.convert;
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@ -0,0 +1,54 @@
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package cn.iocoder.yudao.userserver.modules.system.dal.dataobject.dict;
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import cn.iocoder.yudao.framework.common.enums.CommonStatusEnum;
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import cn.iocoder.yudao.framework.mybatis.core.dataobject.BaseDO;
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import com.baomidou.mybatisplus.annotation.TableId;
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import com.baomidou.mybatisplus.annotation.TableName;
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import lombok.Data;
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import lombok.EqualsAndHashCode;
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/**
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* 字典数据表
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*
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* @author ruoyi
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*/
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@TableName("sys_dict_data")
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@Data
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@EqualsAndHashCode(callSuper = true)
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public class SysDictDataDO extends BaseDO {
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/**
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* 字典数据编号
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*/
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@TableId
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private Long id;
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/**
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* 字典排序
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*/
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private Integer sort;
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/**
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* 字典标签
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*/
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private String label;
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/**
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* 字典值
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*/
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private String value;
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/**
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* 字典类型
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*
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* 冗余 {@link SysDictDataDO#getDictType()}
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*/
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private String dictType;
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/**
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* 状态
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*
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* 枚举 {@link CommonStatusEnum}
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*/
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private Integer status;
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/**
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* 备注
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*/
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private String remark;
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}
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@ -0,0 +1 @@
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package cn.iocoder.yudao.userserver.modules.system.dal.dataobject;
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@ -0,0 +1,28 @@
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package cn.iocoder.yudao.userserver.modules.system.dal.mysql.dict;
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import cn.iocoder.yudao.framework.mybatis.core.mapper.BaseMapperX;
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import cn.iocoder.yudao.userserver.modules.system.dal.dataobject.dict.SysDictDataDO;
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import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
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import org.apache.ibatis.annotations.Mapper;
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import java.util.Date;
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@Mapper
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public interface SysDictDataMapper extends BaseMapperX<SysDictDataDO> {
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default SysDictDataDO selectByDictTypeAndValue(String dictType, String value) {
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return selectOne(new QueryWrapper<SysDictDataDO>().eq("dict_type", dictType)
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.eq("value", value));
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}
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default int selectCountByDictType(String dictType) {
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return selectCount("dict_type", dictType);
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}
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default boolean selectExistsByUpdateTimeAfter(Date maxUpdateTime) {
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return selectOne(new QueryWrapper<SysDictDataDO>().select("id")
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.gt("update_time", maxUpdateTime).last("LIMIT 1")) != null;
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}
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}
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@ -0,0 +1 @@
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package cn.iocoder.yudao.userserver.modules.system.dal.mysql;
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package cn.iocoder.yudao.userserver.modules.system.dict;
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import cn.iocoder.yudao.framework.dict.core.service.DictDataFrameworkService;
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/**
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* 字典数据 Service 接口
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*
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* @author ruoyi
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*/
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public interface SysDictDataService extends DictDataFrameworkService {
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/**
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* 初始化字典数据的本地缓存
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*/
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void initLocalCache();
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}
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@ -0,0 +1,122 @@
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package cn.iocoder.yudao.userserver.modules.system.dict.impl;
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import cn.hutool.core.collection.CollUtil;
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import cn.iocoder.yudao.framework.dict.core.dto.DictDataRespDTO;
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import cn.iocoder.yudao.framework.mybatis.core.dataobject.BaseDO;
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import cn.iocoder.yudao.userserver.modules.system.convert.dict.SysDictDataConvert;
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import cn.iocoder.yudao.userserver.modules.system.dal.dataobject.dict.SysDictDataDO;
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import cn.iocoder.yudao.userserver.modules.system.dal.mysql.dict.SysDictDataMapper;
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import cn.iocoder.yudao.userserver.modules.system.dict.SysDictDataService;
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import com.google.common.collect.ImmutableTable;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.scheduling.annotation.Scheduled;
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import org.springframework.stereotype.Service;
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import javax.annotation.PostConstruct;
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import javax.annotation.Resource;
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import java.util.Comparator;
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import java.util.Date;
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import java.util.List;
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/**
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* 字典数据 Service 实现类
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*
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* @author ruoyi
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*/
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@Service
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@Slf4j
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public class SysDictDataServiceImpl implements SysDictDataService {
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/**
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* 定时执行 {@link #schedulePeriodicRefresh()} 的周期
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* 因为已经通过 Redis Pub/Sub 机制,所以频率不需要高
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*/
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private static final long SCHEDULER_PERIOD = 5 * 60 * 1000L;
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/**
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* 字典数据缓存,第二个 key 使用 label
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*
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* key1:字典类型 dictType
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* key2:字典标签 label
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*/
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private ImmutableTable<String, String, SysDictDataDO> labelDictDataCache;
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/**
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* 字典数据缓存,第二个 key 使用 value
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*
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* key1:字典类型 dictType
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* key2:字典值 value
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*/
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private ImmutableTable<String, String, SysDictDataDO> valueDictDataCache;
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/**
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* 缓存字典数据的最大更新时间,用于后续的增量轮询,判断是否有更新
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*/
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private volatile Date maxUpdateTime;
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@Resource
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private SysDictDataMapper dictDataMapper;
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@Override
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@PostConstruct
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public synchronized void initLocalCache() {
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// 获取字典数据列表,如果有更新
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List<SysDictDataDO> dataList = this.loadDictDataIfUpdate(maxUpdateTime);
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if (CollUtil.isEmpty(dataList)) {
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return;
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}
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// 构建缓存
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ImmutableTable.Builder<String, String, SysDictDataDO> labelDictDataBuilder = ImmutableTable.builder();
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ImmutableTable.Builder<String, String, SysDictDataDO> valueDictDataBuilder = ImmutableTable.builder();
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dataList.forEach(dictData -> {
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labelDictDataBuilder.put(dictData.getDictType(), dictData.getLabel(), dictData);
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valueDictDataBuilder.put(dictData.getDictType(), dictData.getValue(), dictData);
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});
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labelDictDataCache = labelDictDataBuilder.build();
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valueDictDataCache = valueDictDataBuilder.build();
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assert dataList.size() > 0; // 断言,避免告警
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maxUpdateTime = dataList.stream().max(Comparator.comparing(BaseDO::getUpdateTime)).get().getUpdateTime();
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log.info("[initLocalCache][缓存字典数据,数量为:{}]", dataList.size());
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}
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@Scheduled(fixedDelay = SCHEDULER_PERIOD, initialDelay = SCHEDULER_PERIOD)
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public void schedulePeriodicRefresh() {
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initLocalCache();
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}
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/**
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* 如果字典数据发生变化,从数据库中获取最新的全量字典数据。
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* 如果未发生变化,则返回空
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*
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* @param maxUpdateTime 当前字典数据的最大更新时间
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* @return 字典数据列表
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*/
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private List<SysDictDataDO> loadDictDataIfUpdate(Date maxUpdateTime) {
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// 第一步,判断是否要更新。
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if (maxUpdateTime == null) { // 如果更新时间为空,说明 DB 一定有新数据
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log.info("[loadDictDataIfUpdate][首次加载全量字典数据]");
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} else { // 判断数据库中是否有更新的字典数据
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if (!dictDataMapper.selectExistsByUpdateTimeAfter(maxUpdateTime)) {
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return null;
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}
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log.info("[loadDictDataIfUpdate][增量加载全量字典数据]");
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}
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// 第二步,如果有更新,则从数据库加载所有字典数据
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return dictDataMapper.selectList();
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}
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@Override
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public DictDataRespDTO getDictDataFromCache(String type, String value) {
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return SysDictDataConvert.INSTANCE.convert02(valueDictDataCache.get(type, value));
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}
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@Override
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public DictDataRespDTO parseDictDataFromCache(String type, String label) {
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return SysDictDataConvert.INSTANCE.convert02(labelDictDataCache.get(type, label));
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}
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@Override
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public List<DictDataRespDTO> listDictDatasFromCache(String type) {
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return SysDictDataConvert.INSTANCE.convertList03(labelDictDataCache.row(type).values());
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}
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}
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