select a.*, b.id style_id, b.name style_name, b.goods_id style_goods_id, c.id sku_id, c.sku_name, c.sku_image, c.stock sku_stock, c.sku_volume, c.original_price sku_original_price, c.present_price sku_present_price, c.style_id sku_style_id, c.goods_id sku_goods_id from mall_goods a left join mall_goods_style b on a.id = b.goods_id left join mall_goods_sku c on b.id=c.style_id where a.id=#{id} select * from ( select a.id, a.goods_name, a.goods_introdution goodsIntroduction, a.thumb, a.original_price, a.present_price, a.score, a.is_hot, min(b.id) skuId, min(b.present_price) price, sum(b.stock) stock, sum(b.sku_volume) saleVolume from mall_goods a left join mall_goods_sku b on a.id=b.goods_id left join mall_goods_category c on a.category_id=c.id a.is_sale=1 and a.is_hot = #{record.isHot} and a.is_normal = #{record.isNormal} and a.goods_type = #{record.goodsType} and a.present_price != 0 and a.present_price = 0 and (c.id = #{record.categoryId} or c.parent_id=#{record.categoryId}) and a.goods_name like CONCAT('%', CONCAT(#{record.query}, '%')) group by a.id order by a.id desc ) a order by a.is_hot, a.saleVolume desc, a.id order by a.saleVolume desc order by a.price order by a.price desc order by a.id desc select a.id, a.goods_name, a.goods_no, a.goods_introdution, a.unit, a.thumb, a.goods_details, a.is_sale, a.original_price, a.present_price, a.is_hot, a.score, a.is_normal, b.name categaryName, IFNULL(sum(c.sku_volume), a.volume) skuVolume, IFNULL(sum(c.stock), a.stock) stock from mall_goods a left join mall_goods_category b on b.id = a.category_id left join mall_goods_sku c on c.goods_id = a.id and a.goods_name like CONCAT('%', CONCAT(#{record.goodsName}, '%')) and a.goods_type=#{record.goodsType} group by a.id order by a.created_time desc select count(id) from mall_goods a where a.goods_name = #{goodsName} select count(id) from mall_goods a where a.goods_name = #{goodsName} and a.id != #{id} select count(id) from mall_goods a where a.goods_no = #{goodsNo} select count(id) from mall_goods a where a.goods_no = #{goodsNo} and a.id != #{id} select * from mall_goods a where a.id = #{id} select sum(stock) stock, sum(sku_volume) volume from mall_goods_sku where goods_id=#{id} select * from mall_goods a where a.category_id = #{categaryId} select * from mall_goods a where a.id = #{id} select a.id goodsId, a.goods_name goodsName from mall_goods a select a.*,c.order_no from mall_goods a inner join mall_order_item b on a.id=b.goods_id inner join mall_order_info c on b.order_id=c.ID where c.status in (2, 3, 4) and b.is_normal=2 and c.member_id=#{memberId} and date_format(c.pay_time, '%Y-%m-%d') = date_format(#{date}, '%Y-%m-%d') select a.*, b.name name, b.avatar avatar from mall_goods_comment a left join mall_member b on b.id = a.member_id and a.goods_id=#{record.goodsId} and a.star ]]> 4 and (a.star = ]]> 3 and a.star 4) and (a.star 3 ) group by a.id order by a.created_time desc SELECT a.* FROM data_dictionary_custom a where a.type = 'HOME_DELIVERY_SETTING' GROUP BY a.id ORDER BY a.CREATED_TIME asc select (select count(z.id) from mall_goods_comment z where z.goods_id = #{id} and z.star ]]> 4) greatNum, (select count(z.id) from mall_goods_comment z where z.goods_id = #{id} and (z.star = ]]> 3 and z.star 4)) goodNum, (select count(z.id) from mall_goods_comment z where z.goods_id = #{id} and (z.star 3 )) badNum from mall_goods_comment a limit 1 update mall_goods set stock = stock - #{cnt}, volume = volume + #{cnt} where id=#{id} and stock - #{cnt} = ]]> 0 update mall_goods set stock = stock + #{cnt}, volume = volume - #{cnt} where id=#{id} and volume - #{cnt} = ]]> 0