gaoyutao
280 lines
10 KiB
XML
280 lines
10 KiB
XML
<?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.ruoyi.system.mapper.EpsInitialTrafficDataMapper">
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<update id="createEpsTrafficTable">
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CREATE TABLE IF NOT EXISTS ${tableName} (
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id BIGINT(20) AUTO_INCREMENT COMMENT '唯一标识ID',
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`name` VARCHAR(100) COMMENT '接口名称',
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`mac` VARCHAR(50) COMMENT 'MAC地址',
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`status` VARCHAR(20) COMMENT '运行状态',
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`type` VARCHAR(30) COMMENT '接口类型',
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ipV4 VARCHAR(20) COMMENT 'IPv4地址',
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`in_dropped` DECIMAL(20,2) COMMENT '入站丢包率(%)',
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`out_dropped` DECIMAL(20,2) COMMENT '出站丢包率(%)',
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`in_speed` varchar(50) COMMENT '接收带宽(bit)',
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`out_speed` varchar(50) COMMENT '发送带宽(bit)',
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`machine_flow` varchar(50) COMMENT '金山带宽(bit)',
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`speed` varchar(100) COMMENT '协商速度',
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`duplex` varchar(100) COMMENT '工作模式',
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business_id varchar(50) COMMENT '业务代码',
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business_name varchar(200) COMMENT '业务名称',
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service_sn varchar(64) COMMENT '服务器SN',
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node_name varchar(200) COMMENT '服务器名称',
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revenue_method varchar(10) COMMENT '收益方式(1.流量,2包端)',
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package_bandwidth DECIMAL(10,2) COMMENT '包端带宽值',
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create_time DATETIME COMMENT '创建时间',
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update_time DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '修改时间',
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create_by VARCHAR(50) COMMENT '创建人',
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update_by VARCHAR(50) COMMENT '修改人',
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client_id VARCHAR(255) COMMENT '设备唯一标识',
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PRIMARY KEY (id),
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UNIQUE KEY uk_client_mac_name_time (client_id, mac, name, create_time),
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INDEX idx_name_time (`name`,create_time),
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INDEX idx_revenue_method (revenue_method),
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INDEX idx_service_sn (service_sn)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='EPS设备流量初始数据表';
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</update>
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<update id="createEpsInitialTrafficTable">
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CREATE TABLE IF NOT EXISTS ${tableName} (
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id BIGINT(20) AUTO_INCREMENT COMMENT '唯一标识ID',
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`name` VARCHAR(100) COMMENT '接口名称',
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`mac` VARCHAR(20) COMMENT 'MAC地址',
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`status` VARCHAR(20) COMMENT '运行状态',
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`type` VARCHAR(30) COMMENT '接口类型',
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ipV4 VARCHAR(20) COMMENT 'IPv4地址',
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`in_dropped` DECIMAL(20,2) COMMENT '入站丢包率(%)',
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`out_dropped` DECIMAL(20,2) COMMENT '出站丢包率(%)',
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`in_speed` VARCHAR(50) COMMENT '接收带宽(Mbps)',
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`out_speed` VARCHAR(50) COMMENT '发送带宽(Mbps)',
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`speed` varchar(100) COMMENT '协商速度',
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`duplex` varchar(100) COMMENT '工作模式',
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create_time DATETIME COMMENT '创建时间',
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update_time DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '修改时间',
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create_by VARCHAR(50) COMMENT '创建人',
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update_by VARCHAR(50) COMMENT '修改人',
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client_id VARCHAR(255) COMMENT '设备唯一标识',
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PRIMARY KEY (id),
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UNIQUE KEY uk_client_mac_name_time (client_id, mac, name, create_time),
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INDEX idx_name_time (`name`,create_time)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='初始带宽流量表';
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</update>
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<!-- 单条插入语句 -->
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<insert id="insert">
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INSERT INTO ${tableName} (
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`name`,
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`mac`,
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`status`,
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`type`,
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ipV4,
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`in_dropped`,
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`out_dropped`,
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`in_speed`,
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`out_speed`,
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`speed`,
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`duplex`,
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business_id,
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business_name,
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service_sn,
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node_name,
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revenue_method,
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package_bandwidth,
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create_by,
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update_by,
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client_id
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) VALUES (
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#{name},
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#{mac},
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#{status},
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#{type},
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#{ipV4},
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#{inDropped},
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#{outDropped},
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#{inSpeed},
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#{outSpeed},
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#{speed},
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#{duplex},
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#{businessId},
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#{businessName},
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#{serviceSn},
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#{nodeName},
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#{revenueMethod},
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#{packageBandwidth},
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#{createBy},
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#{updateBy},
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#{clientId}
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)
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</insert>
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<!-- 批量插入语句 -->
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<insert id="batchInsert">
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INSERT IGNORE INTO ${tableName} (
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id,
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`name`,
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`mac`,
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`status`,
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`type`,
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ipV4,
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`in_dropped`,
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`out_dropped`,
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`in_speed`,
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`out_speed`,
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`speed`,
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`duplex`,
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business_id,
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business_name,
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service_sn,
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node_name,
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revenue_method,
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package_bandwidth,
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create_time,
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update_time,
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create_by,
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update_by,
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client_id
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) VALUES
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<foreach collection="dataList" item="data" separator=",">
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(
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#{data.id,jdbcType=BIGINT},
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#{data.name,jdbcType=VARCHAR},
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#{data.mac,jdbcType=VARCHAR},
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#{data.status,jdbcType=VARCHAR},
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#{data.type,jdbcType=VARCHAR},
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#{data.ipV4,jdbcType=VARCHAR},
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#{data.inDropped,jdbcType=DECIMAL},
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#{data.outDropped,jdbcType=DECIMAL},
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#{data.inSpeed,jdbcType=VARCHAR},
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#{data.outSpeed,jdbcType=VARCHAR},
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#{data.speed,jdbcType=VARCHAR},
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#{data.duplex,jdbcType=VARCHAR},
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#{data.businessId,jdbcType=VARCHAR},
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#{data.businessName,jdbcType=VARCHAR},
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#{data.serviceSn,jdbcType=VARCHAR},
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#{data.nodeName,jdbcType=VARCHAR},
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#{data.revenueMethod,jdbcType=VARCHAR},
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#{data.packageBandwidth,jdbcType=DECIMAL},
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#{data.createTime,jdbcType=TIMESTAMP},
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#{data.updateTime,jdbcType=TIMESTAMP},
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#{data.createBy,jdbcType=VARCHAR},
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#{data.updateBy,jdbcType=VARCHAR},
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#{data.clientId,jdbcType=VARCHAR}
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)
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</foreach>
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</insert>
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<!-- 条件查询 -->
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<select id="selectByCondition" resultType="EpsInitialTrafficData">
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SELECT
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id,
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`name` AS name,
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`mac` AS mac,
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`status` AS status,
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`type` AS type,
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`ipV4` AS ipV4,
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`in_dropped` AS inDropped,
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`out_dropped` AS outDropped,
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sum(ifnull(`in_speed`,0)) AS inSpeed,
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sum(ifnull(`out_speed`,0)) AS outSpeed,
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`machine_flow` AS machineFlow,
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`speed` AS speed,
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`duplex` AS duplex,
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business_id AS businessId,
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business_name AS businessName,
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service_sn AS serviceSn,
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node_name AS nodeName,
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revenue_method AS revenueMethod,
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package_bandwidth AS packageBandwidth,
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create_time AS createTime,
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update_time AS updateTime,
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create_by AS createBy,
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update_by AS updateBy,
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client_id AS clientId
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FROM ${tableName}
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<where>
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<if test="serviceSn != '' and serviceSn != null">
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and service_sn = #{serviceSn}
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</if>
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<if test="businessId != '' and businessId != null">
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and business_id = #{businessId}
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</if>
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<if test="clientId != '' and clientId != null">
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and client_id = #{clientId}
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</if>
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<if test="startTime != null">
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and create_time >= #{startTime}
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</if>
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<if test="endTime != null">
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and create_time <= #{endTime}
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</if>
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<if test="revenueMethod != null">
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and revenue_method = #{revenueMethod}
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</if>
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</where>
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group BY create_time desc
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</select>
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<!-- 条件查询 -->
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<select id="getAllTraficMsg" resultType="EpsInitialTrafficData">
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SELECT
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id,
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`name` AS name,
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`mac` AS mac,
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`status` AS status,
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`type` AS type,
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`ipV4` AS ipV4,
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`in_dropped` AS inDropped,
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`out_dropped` AS outDropped,
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`in_speed` AS inSpeed,
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`out_speed` AS outSpeed,
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`speed` AS speed,
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`duplex` AS duplex,
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create_time AS createTime,
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update_time AS updateTime,
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create_by AS createBy,
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update_by AS updateBy,
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client_id AS clientId
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FROM ${tableName}
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<where>
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<if test="startTime != null">
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and create_time >= #{startTime}
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</if>
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<if test="endTime != null">
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and create_time <= #{endTime}
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</if>
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</where>
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ORDER BY create_time desc
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</select>
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<update id="updateMachineTraffic" parameterType="EpsInitialTrafficData">
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update ${tableName} set machine_flow=#{machineFlow} where client_id=#{clientId} and create_time=#{createTime}
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</update>
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<select id="getTrafficListByClientIds" resultType="EpsInitialTrafficData">
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SELECT
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sum(ifnull(out_speed,0)) AS outSpeed,
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create_time AS createTime
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FROM ${tableName}
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<where>
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<if test="businessId != '' and businessId != null">
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and business_id = #{businessId}
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</if>
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<if test="startTime != null">
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and create_time >= #{startTime}
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</if>
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<if test="endTime != null">
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and create_time <= #{endTime}
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</if>
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<if test="clientIds != '' and clientIds != null">
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and client_id in
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<foreach collection="clientIds.split(',')" item="clientId" open="(" separator="," close=")">
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#{clientId}
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</foreach>
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</if>
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</where>
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group by create_time
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ORDER BY out_speed desc
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</select>
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</mapper> |