网站做推广需要什么,黄岐建网站,广州网站建设设计平台,数据可视化网站模板文章目录 测试数据需求说明需求实现 前言#xff1a;本题制作参考牛客网进阶题目 —— SQL128 未完成试卷数大于1的有效用户 测试数据 -- 创建用户表 DROP TABLE IF EXISTS users; CREATE TABLE users (user_id INT,name STRING,age INT,gender STRING,register_date STRING… 文章目录 测试数据需求说明需求实现 前言本题制作参考牛客网进阶题目 —— SQL128 未完成试卷数大于1的有效用户 测试数据 -- 创建用户表 DROP TABLE IF EXISTS users; CREATE TABLE users (user_id INT,name STRING,age INT,gender STRING,register_date STRING );-- 插入用户数据 INSERT INTO users VALUES (1, Alice, 23, F, 2023-01-01), (2, Bob, 22, M, 2023-02-01), (3, Cathy, 24, F, 2023-03-01), (4, David, 23, M, 2023-04-01), (5, Eve, 25, F, 2023-05-01), (6, Frank, 26, M, 2023-06-01), (7, Grace, 27, F, 2023-07-01), (8, Hank, 28, M, 2023-08-01), (9, Ivy, 29, F, 2023-09-01), (10, Jack, 30, M, 2023-10-01);-- 创建订单表 DROP TABLE IF EXISTS orders; CREATE TABLE orders (order_id INT,user_id INT,product_id INT,order_date STRING,status STRING );-- 插入订单数据 INSERT INTO orders VALUES (101, 1, 1001, 2023-01-01, completed), (102, 1, 1002, 2023-01-01, pending), (103, 2, 1001, 2023-01-02, completed), (104, 3, 1001, 2023-01-03, pending), (105, 3, 1003, 2023-01-04, completed), (106, 4, 1002, 2023-01-02, completed), (107, 5, 1001, 2023-01-03, completed), (108, 5, 1002, 2023-01-04, pending), (109, 5, 1002, 2023-01-05, pending), (110, 5, 1003, 2023-01-06, pending), (111, 5, 1003, 2023-01-07, pending), (112, 6, 1001, 2023-01-08, completed), (113, 6, 1002, 2023-01-08, pending), (114, 6, 1003, 2023-01-08, pending), (115, 6, 1004, 2023-01-09, pending), (116, 6, 1005, 2023-01-10, completed), (117, 7, 1001, 2023-01-11, completed), (118, 7, 1002, 2023-01-11, pending), (119, 7, 1003, 2023-01-12, pending), (120, 7, 1004, 2023-01-12, pending), (121, 7, 1005, 2023-01-13, pending), (122, 8, 1001, 2023-01-14, completed), (123, 8, 1002, 2023-01-14, completed), (124, 8, 1003, 2023-01-15, completed), (125, 8, 1004, 2023-01-15, pending), (126, 8, 1005, 2023-01-16, pending), (127, 9, 1001, 2023-01-17, completed), (128, 9, 1002, 2023-01-17, completed), (129, 9, 1003, 2023-01-18, completed), (130, 9, 1004, 2023-01-18, completed), (131, 9, 1005, 2023-01-19, completed), (132, 10, 1001, 2023-01-20, pending), (133, 10, 1002, 2023-01-20, pending), (134, 10, 1003, 2023-01-21, pending), (135, 10, 1004, 2023-01-21, pending), (136, 10, 1005, 2023-01-22, pending);需求说明 统计 2023 年每个有效用户的数据有效用户指完成订单数至少为 1 且未完成订单数小于 5输出用户ID、用户名称、未完成订单数、完成订单数、购买过的商品ID集合按用户ID升序排列。 orders 表中的 status 列标识用户订单的状态共有两种 pending未完成 completed已完成。 结果示例 user_idnamepending_orderscompleted_ordersproduct_ids1Alice11[“2023-01-01:1001”,“2023-01-01:1002”]2Bob01[“2023-01-02:1001”]3Cathy11[“2023-01-03:1001”,“2023-01-04:1003”]4David01[“2023-01-02:1002”]5Eve41[“2023-01-03:1001”,“2023-01-04:1002”,“2023-01-05:1002”,“2023-01-06:1003”,“2023-01-07:1003”]6Frank32[“2023-01-08:1001”,“2023-01-08:1002”,“2023-01-08:1003”,“2023-01-09:1004”,“2023-01-10:1005”]7Grace41[“2023-01-11:1001”,“2023-01-11:1002”,“2023-01-12:1003”,“2023-01-12:1004”,“2023-01-13:1005”]8Hank23[“2023-01-14:1001”,“2023-01-14:1002”,“2023-01-15:1003”,“2023-01-15:1004”,“2023-01-16:1005”]9Ivy05[“2023-01-17:1001”,“2023-01-17:1002”,“2023-01-18:1003”,“2023-01-18:1004”,“2023-01-19:1005”] 其中 user_id用户IDname用户名pending_orders未完成订单数completed_orders完成订单数product_ids每个用户下单的所有日期和产品ID组成的列表。 需求实现 selectu.user_id,name,pending_orders,completed_orders,product_ids from(selectuser_id,sum(if(status pending,1,0)) pending_orders,sum(if(status completed,1,0)) completed_orders,collect_list(concat_ws(:,date_format(order_date,yyyy-MM-dd),cast(product_id as string))) product_idsfromorderswhereyear(order_date) 2023group byuser_id)t1joinusers uont1.user_id u.user_id wherecompleted_orders 1 and pending_orders 5 order byu.user_id;输出结果如下 范围筛选统计的需求比较简单只需要在分组的统计的时候进行判断即可。 本题稍有难度的地方在于如何将各个用户的下单日期与对应的产品ID进行组合形成列表也就是列转行。 在 Hive 中列转行有两个函数 collect_list传入一个参数字段根据分组对该字段进行聚合形成列表 collect_set和上面一样但它的不同之处在于会对组合的列表数据进行去重操作。 在 MySQL 中并没有这两个函数但是有和它们功能类似的函数 group_concat GROUP_CONCAT(expr SEPARATOR sep)-- 示例 group_concat(start_day SEPARATOR ;)其中expr 表示要连接的表达式可以是列名、常量或者更复杂的表达式。SEPARATOR sep 是一个可选参数用于指定连接字符串的分隔符默认为逗号。