ALTER TABLE shopping_cart ADD INDEX c_all(cart_id,product_id,sku_id,user_id,cart_num,cart_time,product_price,sku_props) ALTER TABLE product_img ADD INDEX itemidx (item_id)
SELECT c.cart_id ,c.product_id ,c.sku_id, c.user_id,c.cart_num ,c.cart_time,c.product_price, c.sku_props,s.original_price,s.sell_price,s.sku_name, p.product_name,i.url,s.stock FROM shopping_cart c INNER JOIN product p INNER JOIN product_img i INNER JOIN product_sku s ON s.sku_id=c.sku_id AND p.product_id=c.product_id AND i.item_id=c.product_id WHERE i.is_main=1 AND c.cart_id IN(76,77)
动态sql的编写
Sercive层实现类
@Override public ResultVo getshopcartsbyCartids(String cids) {//从前端传入到后端的是字符串, // 在service层进行拼接 String[] arr = cids.split(","); ListcartIds=new ArrayList<>(); for (String s : arr) { cartIds.add(Integer.parseInt(s)); } List shoppingCartList = shoppingCartMapper.selectShoppingCartByICartIds(cartIds); return new ResultVo(ResStatus.OK,"success",shoppingCartList); }
本文介绍了一种适用于多核环境的大规模线性分类问题的并行对偶坐标下降算法。该方法通过优化计算资源的分配,显著提高了处理效率和模型性能。论文《Parallel Dual Coordinate Descent Method for Large-scale Linear Classification in Multi-core Environments》详细探讨了这一算法,并提供了实验验证。 ...
[详细]