122 lines
5.2 KiB
XML
122 lines
5.2 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
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<mapper namespace="com.rj.mapper.LbOrderRowMapper">
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<!-- 复合主键 (tenant_id, id)，按租户 + 订单 id upsert -->
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<insert id="upsertBatch">
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INSERT INTO lb_order_row (
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id, old_id, tenant_id, data_type,
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seller_id, seller_name, seller_phone,
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buyer_id, buyer_name, buyer_phone,
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order_sn, total_money,
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pay_time, pay_img, status, is_resell, is_show,
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consignee, phone, province, city, area, address,
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merchandise_id, confirm_time, buy_time, created_at, updated_at,
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today_total_money_sum, today_unresell_count, today_order_count, avg_amt
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) VALUES
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<foreach collection="list" item="item" separator=",">
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(
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#{item.id}, #{item.oldId}, #{item.tenantId}, #{item.dataType},
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#{item.sellerId}, #{item.sellerName}, #{item.sellerPhone},
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#{item.buyerId}, #{item.buyerName}, #{item.buyerPhone},
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#{item.orderSn}, #{item.totalMoney},
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#{item.payTime}, #{item.payImg}, #{item.status}, #{item.isResell}, #{item.isShow},
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#{item.consignee}, #{item.phone}, #{item.province}, #{item.city}, #{item.area}, #{item.address},
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#{item.merchandiseId}, #{item.confirmTime}, #{item.buyTime}, #{item.createdAt}, #{item.updatedAt},
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#{item.todayTotalMoneySum}, #{item.todayUnresellCount}, #{item.todayOrderCount}, #{item.avgAmt}
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)
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</foreach>
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ON DUPLICATE KEY UPDATE
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old_id = VALUES(old_id),
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tenant_id = VALUES(tenant_id),
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data_type = VALUES(data_type),
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seller_id = VALUES(seller_id),
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seller_name = VALUES(seller_name),
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seller_phone = VALUES(seller_phone),
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buyer_id = VALUES(buyer_id),
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buyer_name = VALUES(buyer_name),
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buyer_phone = VALUES(buyer_phone),
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order_sn = VALUES(order_sn),
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total_money = VALUES(total_money),
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pay_time = VALUES(pay_time),
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pay_img = VALUES(pay_img),
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status = VALUES(status),
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is_resell = VALUES(is_resell),
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is_show = VALUES(is_show),
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consignee = VALUES(consignee),
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phone = VALUES(phone),
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province = VALUES(province),
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city = VALUES(city),
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area = VALUES(area),
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address = VALUES(address),
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merchandise_id = VALUES(merchandise_id),
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confirm_time = VALUES(confirm_time),
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buy_time = VALUES(buy_time),
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created_at = VALUES(created_at),
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updated_at = VALUES(updated_at),
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today_total_money_sum = VALUES(today_total_money_sum),
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today_unresell_count = VALUES(today_unresell_count),
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today_order_count = VALUES(today_order_count),
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avg_amt = VALUES(avg_amt)
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</insert>
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<select id="selectLatestPaidStatsByTenantId" resultType="com.rj.dto.LbBuyerTradeStats">
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SELECT o.buyer_id AS buyerId,
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o.pay_time AS payTime,
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o.total_money AS totalMoney
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FROM lb_order_row o
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WHERE o.tenant_id = #{tenantId}
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AND o.data_type = #{dataType}
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AND o.buyer_id IS NOT NULL
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AND o.pay_time IS NOT NULL
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AND TRIM(o.pay_time) != ''
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AND NOT EXISTS (
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SELECT 1
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FROM lb_order_row o2
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WHERE o2.tenant_id = o.tenant_id
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AND o2.data_type = o.data_type
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AND o2.buyer_id = o.buyer_id
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AND o2.pay_time IS NOT NULL
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AND TRIM(o2.pay_time) != ''
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AND (
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o2.pay_time > o.pay_time
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OR (o2.pay_time = o.pay_time AND o2.id > o.id)
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)
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)
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</select>
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<select id="selectSumTotalMoneyByBuyerIdsAndTimeRange" resultType="java.math.BigDecimal">
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SELECT COALESCE(SUM(o.total_money), 0)
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FROM lb_order_row o
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WHERE o.tenant_id = #{tenantId}
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AND o.buyer_id IN
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<foreach collection="buyerIds" item="buyerId" open="(" separator="," close=")">
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#{buyerId}
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</foreach>
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<if test="buyStartTime != null and buyStartTime != ''">
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AND o.buy_time >= #{buyStartTime}
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</if>
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<if test="buyEndTime != null and buyEndTime != ''">
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AND o.buy_time <= #{buyEndTime}
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</if>
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</select>
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<select id="selectSumTotalMoneyGroupByBuyerIds" resultType="map">
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SELECT o.buyer_id AS buyerId, COALESCE(SUM(o.total_money), 0) AS totalMoney
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FROM lb_order_row o
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WHERE o.tenant_id = #{tenantId}
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AND o.buyer_id IN
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<foreach collection="buyerIds" item="buyerId" open="(" separator="," close=")">
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#{buyerId}
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</foreach>
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<if test="buyStartTime != null and buyStartTime != ''">
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AND o.buy_time >= #{buyStartTime}
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</if>
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<if test="buyEndTime != null and buyEndTime != ''">
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AND o.buy_time <= #{buyEndTime}
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</if>
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GROUP BY o.buyer_id
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</select>
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</mapper>
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