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server:
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port: 8081
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spring:
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datasource:
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type: com.alibaba.druid.pool.DruidDataSource
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driverClassName: com.mysql.cj.jdbc.Driver
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url: jdbc:mysql://localhost:3306/G3-Email?useUnicode=true&characterEncoding=utf8&zeroDateTimeBehavior=convertToNull&useSSL=true&serverTimezone=GMT%2B8
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username: root
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password: root
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# druid 连接池管理
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druid:
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# 初始化时建立物理连接的个数
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initial-size: 5
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# 连接池的最小空闲数量
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min-idle: 5
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# 连接池最大连接数量
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max-active: 20
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# 获取连接时最大等待时间，单位毫秒
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max-wait: 60000
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# 申请连接的时候检测，如果空闲时间大于timeBetweenEvictionRunsMillis，执行validationQuery检测连接是否有效。
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test-while-idle: true
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# 既作为检测的间隔时间又作为testWhileIdel执行的依据
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time-between-eviction-runs-millis: 60000
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# 销毁线程时检测当前连接的最后活动时间和当前时间差大于该值时，关闭当前连接(配置连接在池中的最小生存时间)
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min-evictable-idle-time-millis: 30000
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# 用来检测数据库连接是否有效的sql 必须是一个查询语句(oracle中为 select 1 from dual) validation-query: select 'x'
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# 申请连接时会执行validationQuery检测连接是否有效,开启会降低性能,默认为true
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test-on-borrow: false
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# 归还连接时会执行validationQuery检测连接是否有效,开启会降低性能,默认为true
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test-on-return: false
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# 是否缓存preparedStatement, 也就是PSCache,PSCache对支持游标的数据库性能提升巨大，比如说oracle,在mysql下建议关闭。
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pool-prepared-statements: false
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# 置监控统计拦截的filters，去掉后监控界面sql无法统计，stat: 监控统计、Slf4j:日志记录、waLL: 防御sqL注入
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filters: stat,wall,slf4j
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# 要启用PSCache，必须配置大于0，当大于0时，poolPreparedStatements自动触发修改为true。在Druid中，不会存在Oracle下PSCache占用内存过多的问题，可以把这个数值配置大一些，比如说100
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max-pool-prepared-statement-per-connection-size: -1
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# 合并多个DruidDataSource的监控数据
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use-global-data-source-stat: true
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# 通过connectProperties属性来打开mergeSql功能；慢SQL记录
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connect-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
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stat-view-servlet:
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# 是否启用StatViewServlet默认值true
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enabled: true
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# 访问路径为/druid时，跳转到StatViewServlet
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url-pattern: /druid/*
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# 是否能够重置数据
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reset-enable: false
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# 需要账号密码才能访问控制台，默认为root
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login-username: root
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login-password: root
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# IP白名单
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allow: 127.0.0.1
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# IP黑名单（共同存在时，deny优先于allow）
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deny:
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@@ -0,0 +1,55 @@
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server:
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port: 8081
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spring:
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datasource:
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type: com.alibaba.druid.pool.DruidDataSource
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driver-class-name: net.sourceforge.jtds.jdbc.Driver
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url: jdbc:jtds:sqlserver://192.168.1.176:1433;databaseName=G3-Email
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username: sa
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password: "sa"
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# druid 连接池管理
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druid:
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# 初始化时建立物理连接的个数
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initial-size: 5
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# 连接池的最小空闲数量
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min-idle: 5
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# 连接池最大连接数量
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max-active: 20
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# 获取连接时最大等待时间，单位毫秒
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max-wait: 60000
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# 申请连接的时候检测，如果空闲时间大于timeBetweenEvictionRunsMillis，执行validationQuery检测连接是否有效。
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test-while-idle: true
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# 既作为检测的间隔时间又作为testWhileIdel执行的依据
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time-between-eviction-runs-millis: 60000
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# 销毁线程时检测当前连接的最后活动时间和当前时间差大于该值时，关闭当前连接(配置连接在池中的最小生存时间)
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min-evictable-idle-time-millis: 30000
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# 用来检测数据库连接是否有效的sql 必须是一个查询语句(oracle中为 select 1 from dual) validation-query: select 'x'
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# 申请连接时会执行validationQuery检测连接是否有效,开启会降低性能,默认为true
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test-on-borrow: false
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# 归还连接时会执行validationQuery检测连接是否有效,开启会降低性能,默认为true
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test-on-return: false
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# 是否缓存preparedStatement, 也就是PSCache,PSCache对支持游标的数据库性能提升巨大，比如说oracle,在mysql下建议关闭。
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pool-prepared-statements: false
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# 置监控统计拦截的filters，去掉后监控界面sql无法统计，stat: 监控统计、Slf4j:日志记录、waLL: 防御sqL注入
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filters: stat,wall,slf4j
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# 要启用PSCache，必须配置大于0，当大于0时，poolPreparedStatements自动触发修改为true。在Druid中，不会存在Oracle下PSCache占用内存过多的问题，可以把这个数值配置大一些，比如说100
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max-pool-prepared-statement-per-connection-size: -1
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# 合并多个DruidDataSource的监控数据
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use-global-data-source-stat: true
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# 通过connectProperties属性来打开mergeSql功能；慢SQL记录
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connect-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
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stat-view-servlet:
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# 是否启用StatViewServlet默认值true
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enabled: true
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# 访问路径为/druid时，跳转到StatViewServlet
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url-pattern: /druid/*
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# 是否能够重置数据
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reset-enable: false
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# 需要账号密码才能访问控制台，默认为root
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login-username: root
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login-password: root
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# IP白名单
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allow: 127.0.0.1
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# IP黑名单（共同存在时，deny优先于allow）
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deny:
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@@ -0,0 +1,43 @@
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server:
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servlet:
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context-path: / # 应用的访问路径
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tomcat:
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uri-encoding: UTF-8 # URI编码
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accept-count: 1000 # 连接数满后的排队数
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threads:
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max: 800 # 最大线程数
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min-spare: 100 # 初始化的线程数
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spring:
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profiles:
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active: sqlServer
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jackson:
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date-format: yyyy-MM-dd HH:mm:ss
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time-zone: Asia/Shanghai # 你也可以根据需要设置为 UTC
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servlet:
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multipart:
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max-file-size: -1
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max-request-size: -1
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mybatis-plus:
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# 对应的 XML 文件位置
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mapperLocations: classpath*:mapper/**/*Mapper.xml
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# 实体扫描，多个package用逗号或者分号分隔
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typeAliasesPackage: com.email.domain
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# 主键类型 0:"数据库ID自增",1:"该类型为未设置主键类型", 2:"用户输入ID",3:"全局唯一ID (数字类型唯一ID)", 4:"全局唯一ID UUID",5:"字符串全局唯一ID (idWorker 的字符串表示)";
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global-config:
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db-config:
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id-type: ASSIGN_ID
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# 加载全局的配置文件
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# configLocation: classpath:mybatis/mybatis-config.xml
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configuration:
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cache-enabled: true
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use-generated-keys: true
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default-executor-type: simple
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# log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
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map-underscore-to-camel-case: true
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email:
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storage:
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base-path: D:/data/email
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static-path: /static/email
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server-url: http://127.0.0.1:8081
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+14
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<?xml version="1.0" encoding="UTF-8" ?>
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<!DOCTYPE mapper
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PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
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"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.email.mapper.EmailAddressMapper">
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<delete id="deleteByEmailIds" parameterType="map">
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DELETE FROM email_address
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WHERE email_id IN
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<foreach collection="emailIds" item="id" open="(" separator="," close=")">
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#{id}
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</foreach>
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</delete>
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</mapper>
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@@ -0,0 +1,15 @@
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<?xml version="1.0" encoding="UTF-8" ?>
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<!DOCTYPE mapper
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PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
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"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.email.mapper.EmailFileMapper">
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<update id="markAsTemporaryByEmailIds" parameterType="map">
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UPDATE email_file
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SET file_type = 0
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WHERE email_id IN
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<foreach collection="emailIds" item="id" open="(" separator="," close=")">
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#{id}
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</foreach>
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</update>
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</mapper>
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@@ -0,0 +1,31 @@
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<?xml version="1.0" encoding="UTF-8" ?>
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<!DOCTYPE mapper
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PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
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"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.email.mapper.EmailMapper">
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<select id="getSummaryPage" resultType="com.email.domain.vo.EmailSummaryVO">
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WITH EmailSummaryWithSender AS (
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SELECT
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es.id AS id,
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es.subject AS subject,
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es.sent_time AS sentTime,
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es.is_seen AS isSeen,
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es.create_time AS createTime,
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ea.address AS fromAddress,
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ea.address_name AS fromAddressName,
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ROW_NUMBER() OVER (ORDER BY es.sent_time DESC, es.create_time DESC) AS rn
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FROM email_summary es
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JOIN email_address ea ON es.id = ea.email_id
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WHERE es.folder_id = #{folderId} AND ea.address_type = 'FROM'
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)
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SELECT *
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FROM EmailSummaryWithSender
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WHERE rn BETWEEN #{startRow} AND #{endRow}
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</select>
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<select id="getSummaryTotal" resultType="java.lang.Long">
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SELECT COUNT(*) FROM email_summary WHERE folder_id = #{folderId}
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</select>
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</mapper>
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