leetcode-problemset/leetcode-cn/originData/confirmation-rate.json

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        "question": {
            "questionId": "2087",
            "questionFrontendId": "1934",
            "categoryTitle": "Database",
            "boundTopicId": 878355,
            "title": "Confirmation Rate",
            "titleSlug": "confirmation-rate",
            "content": "<p>Table: <code>Signups</code></p>\n\n<pre>\n+----------------+----------+\n| Column Name    | Type     |\n+----------------+----------+\n| user_id        | int      |\n| time_stamp     | datetime |\n+----------------+----------+\nuser_id is the column of unique values for this table.\nEach row contains information about the signup time for the user with ID user_id.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>Table: <code>Confirmations</code></p>\n\n<pre>\n+----------------+----------+\n| Column Name    | Type     |\n+----------------+----------+\n| user_id        | int      |\n| time_stamp     | datetime |\n| action         | ENUM     |\n+----------------+----------+\n(user_id, time_stamp) is the primary key (combination of columns with unique values) for this table.\nuser_id is a foreign key (reference column) to the Signups table.\naction is an ENUM (category) of the type (&#39;confirmed&#39;, &#39;timeout&#39;)\nEach row of this table indicates that the user with ID user_id requested a confirmation message at time_stamp and that confirmation message was either confirmed (&#39;confirmed&#39;) or expired without confirming (&#39;timeout&#39;).\n</pre>\n\n<p>&nbsp;</p>\n\n<p>The <strong>confirmation rate</strong> of a user is the number of <code>&#39;confirmed&#39;</code> messages divided by the total number of requested confirmation messages. The confirmation rate of a user that did not request any confirmation messages is <code>0</code>. Round the confirmation rate to <strong>two decimal</strong> places.</p>\n\n<p>Write a solution to find the <strong>confirmation rate</strong> of each user.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nSignups table:\n+---------+---------------------+\n| user_id | time_stamp          |\n+---------+---------------------+\n| 3       | 2020-03-21 10:16:13 |\n| 7       | 2020-01-04 13:57:59 |\n| 2       | 2020-07-29 23:09:44 |\n| 6       | 2020-12-09 10:39:37 |\n+---------+---------------------+\nConfirmations table:\n+---------+---------------------+-----------+\n| user_id | time_stamp          | action    |\n+---------+---------------------+-----------+\n| 3       | 2021-01-06 03:30:46 | timeout   |\n| 3       | 2021-07-14 14:00:00 | timeout   |\n| 7       | 2021-06-12 11:57:29 | confirmed |\n| 7       | 2021-06-13 12:58:28 | confirmed |\n| 7       | 2021-06-14 13:59:27 | confirmed |\n| 2       | 2021-01-22 00:00:00 | confirmed |\n| 2       | 2021-02-28 23:59:59 | timeout   |\n+---------+---------------------+-----------+\n<strong>Output:</strong> \n+---------+-------------------+\n| user_id | confirmation_rate |\n+---------+-------------------+\n| 6       | 0.00              |\n| 3       | 0.00              |\n| 7       | 1.00              |\n| 2       | 0.50              |\n+---------+-------------------+\n<strong>Explanation:</strong> \nUser 6 did not request any confirmation messages. The confirmation rate is 0.\nUser 3 made 2 requests and both timed out. The confirmation rate is 0.\nUser 7 made 3 requests and all were confirmed. The confirmation rate is 1.\nUser 2 made 2 requests where one was confirmed and the other timed out. The confirmation rate is 1 / 2 = 0.5.\n</pre>\n",
            "translatedTitle": "确认率",
            "translatedContent": "<p>表: <code>Signups</code></p>\n\n<pre>\n+----------------+----------+\n| Column Name    | Type     |\n+----------------+----------+\n| user_id        | int      |\n| time_stamp     | datetime |\n+----------------+----------+\nUser_id是该表的主键。\n每一行都包含ID为user_id的用户的注册时间信息。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>表: <code>Confirmations</code></p>\n\n<pre>\n+----------------+----------+\n| Column Name    | Type     |\n+----------------+----------+\n| user_id        | int      |\n| time_stamp     | datetime |\n| action         | ENUM     |\n+----------------+----------+\n(user_id, time_stamp)是该表的主键。\nuser_id是一个引用到注册表的外键。\naction是类型为('confirmed'， 'timeout')的ENUM\n该表的每一行都表示ID为user_id的用户在time_stamp请求了一条确认消息，该确认消息要么被确认('confirmed')，要么被过期('timeout')。\n</pre>\n\n<p>&nbsp;</p>\n\n<p>用户的 <strong>确认率</strong>&nbsp;是 <code>'confirmed'</code>&nbsp;消息的数量除以请求的确认消息的总数。没有请求任何确认消息的用户的确认率为&nbsp;<code>0</code> 。确认率四舍五入到 <strong>小数点后两位</strong> 。</p>\n\n<p>编写一个SQL查询来查找每个用户的 确认率 。<br />\n<br />\n以 任意顺序&nbsp;返回结果表。<br />\n<br />\n查询结果格式如下所示。<br />\n<br />\n<strong>示例1:</strong></p>\n\n<pre>\n<b>输入：</b>\nSignups 表:\n+---------+---------------------+\n| user_id | time_stamp          |\n+---------+---------------------+\n| 3       | 2020-03-21 10:16:13 |\n| 7       | 2020-01-04 13:57:59 |\n| 2       | 2020-07-29 23:09:44 |\n| 6       | 2020-12-09 10:39:37 |\n+---------+---------------------+\nConfirmations 表:\n+---------+---------------------+-----------+\n| user_id | time_stamp          | action    |\n+---------+---------------------+-----------+\n| 3       | 2021-01-06 03:30:46 | timeout   |\n| 3       | 2021-07-14 14:00:00 | timeout   |\n| 7       | 2021-06-12 11:57:29 | confirmed |\n| 7       | 2021-06-13 12:58:28 | confirmed |\n| 7       | 2021-06-14 13:59:27 | confirmed |\n| 2       | 2021-01-22 00:00:00 | confirmed |\n| 2       | 2021-02-28 23:59:59 | timeout   |\n+---------+---------------------+-----------+\n<strong>输出:</strong> \n+---------+-------------------+\n| user_id | confirmation_rate |\n+---------+-------------------+\n| 6       | 0.00              |\n| 3       | 0.00              |\n| 7       | 1.00              |\n| 2       | 0.50              |\n+---------+-------------------+\n<strong>解释:\n</strong>用户 6 没有请求任何确认消息。确认率为 0。\n用户 3 进行了 2 次请求，都超时了。确认率为 0。\n用户 7 提出了 3 个请求，所有请求都得到了确认。确认率为 1。\n用户 2 做了 2 个请求，其中一个被确认，另一个超时。确认率为 1 / 2 = 0.5。</pre>\n",
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                    "code": "import pandas as pd\n\ndef confirmation_rate(signups: pd.DataFrame, confirmations: pd.DataFrame) -> pd.DataFrame:\n    ",
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            "sampleTestCase": "{\"headers\": {\"Signups\": [\"user_id\", \"time_stamp\"], \"Confirmations\": [\"user_id\", \"time_stamp\", \"action\"]}, \"rows\": {\"Signups\": [[3, \"2020-03-21 10:16:13\"], [7, \"2020-01-04 13:57:59\"], [2, \"2020-07-29 23:09:44\"], [6, \"2020-12-09 10:39:37\"]], \"Confirmations\": [[3, \"2021-01-06 03:30:46\", \"timeout\"], [3, \"2021-07-14 14:00:00\", \"timeout\"], [7, \"2021-06-12 11:57:29\", \"confirmed\"], [7, \"2021-06-13 12:58:28\", \"confirmed\"], [7, \"2021-06-14 13:59:27\", \"confirmed\"], [2, \"2021-01-22 00:00:00\", \"confirmed\"], [2, \"2021-02-28 23:59:59\", \"timeout\"]]}}",
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                "Create table If Not Exists Signups (user_id int, time_stamp datetime)",
                "Create table If Not Exists Confirmations (user_id int, time_stamp datetime, action ENUM('confirmed','timeout'))",
                "Truncate table Signups",
                "insert into Signups (user_id, time_stamp) values ('3', '2020-03-21 10:16:13')",
                "insert into Signups (user_id, time_stamp) values ('7', '2020-01-04 13:57:59')",
                "insert into Signups (user_id, time_stamp) values ('2', '2020-07-29 23:09:44')",
                "insert into Signups (user_id, time_stamp) values ('6', '2020-12-09 10:39:37')",
                "Truncate table Confirmations",
                "insert into Confirmations (user_id, time_stamp, action) values ('3', '2021-01-06 03:30:46', 'timeout')",
                "insert into Confirmations (user_id, time_stamp, action) values ('3', '2021-07-14 14:00:00', 'timeout')",
                "insert into Confirmations (user_id, time_stamp, action) values ('7', '2021-06-12 11:57:29', 'confirmed')",
                "insert into Confirmations (user_id, time_stamp, action) values ('7', '2021-06-13 12:58:28', 'confirmed')",
                "insert into Confirmations (user_id, time_stamp, action) values ('7', '2021-06-14 13:59:27', 'confirmed')",
                "insert into Confirmations (user_id, time_stamp, action) values ('2', '2021-01-22 00:00:00', 'confirmed')",
                "insert into Confirmations (user_id, time_stamp, action) values ('2', '2021-02-28 23:59:59', 'timeout')"
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            "exampleTestcases": "{\"headers\": {\"Signups\": [\"user_id\", \"time_stamp\"], \"Confirmations\": [\"user_id\", \"time_stamp\", \"action\"]}, \"rows\": {\"Signups\": [[3, \"2020-03-21 10:16:13\"], [7, \"2020-01-04 13:57:59\"], [2, \"2020-07-29 23:09:44\"], [6, \"2020-12-09 10:39:37\"]], \"Confirmations\": [[3, \"2021-01-06 03:30:46\", \"timeout\"], [3, \"2021-07-14 14:00:00\", \"timeout\"], [7, \"2021-06-12 11:57:29\", \"confirmed\"], [7, \"2021-06-13 12:58:28\", \"confirmed\"], [7, \"2021-06-14 13:59:27\", \"confirmed\"], [2, \"2021-01-22 00:00:00\", \"confirmed\"], [2, \"2021-02-28 23:59:59\", \"timeout\"]]}}",
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