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存量题库数据更新
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@@ -6,13 +6,13 @@
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"boundTopicId": null,
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"title": "User Activity for the Past 30 Days I",
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"titleSlug": "user-activity-for-the-past-30-days-i",
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"content": "<p>Table: <code>Activity</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| user_id | int |\n| session_id | int |\n| activity_date | date |\n| activity_type | enum |\n+---------------+---------+\nThere is no primary key for this table, it may have duplicate rows.\nThe activity_type column is an ENUM of type ('open_session', 'end_session', 'scroll_down', 'send_message').\nThe table shows the user activities for a social media website. \nNote that each session belongs to exactly one user.\n</pre>\n\n<p> </p>\n\n<p>Write an SQL query to find the daily active user count for a period of <code>30</code> days ending <code>2019-07-27</code> inclusively. A user was active on someday if they made at least one activity on that day.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The query result format is in the following example.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nActivity table:\n+---------+------------+---------------+---------------+\n| user_id | session_id | activity_date | activity_type |\n+---------+------------+---------------+---------------+\n| 1 | 1 | 2019-07-20 | open_session |\n| 1 | 1 | 2019-07-20 | scroll_down |\n| 1 | 1 | 2019-07-20 | end_session |\n| 2 | 4 | 2019-07-20 | open_session |\n| 2 | 4 | 2019-07-21 | send_message |\n| 2 | 4 | 2019-07-21 | end_session |\n| 3 | 2 | 2019-07-21 | open_session |\n| 3 | 2 | 2019-07-21 | send_message |\n| 3 | 2 | 2019-07-21 | end_session |\n| 4 | 3 | 2019-06-25 | open_session |\n| 4 | 3 | 2019-06-25 | end_session |\n+---------+------------+---------------+---------------+\n<strong>Output:</strong> \n+------------+--------------+ \n| day | active_users |\n+------------+--------------+ \n| 2019-07-20 | 2 |\n| 2019-07-21 | 2 |\n+------------+--------------+ \n<strong>Explanation:</strong> Note that we do not care about days with zero active users.\n</pre>\n",
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"content": "<p>Table: <code>Activity</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| user_id | int |\n| session_id | int |\n| activity_date | date |\n| activity_type | enum |\n+---------------+---------+\nThis table may have duplicate rows.\nThe activity_type column is an ENUM (category) of type ('open_session', 'end_session', 'scroll_down', 'send_message').\nThe table shows the user activities for a social media website. \nNote that each session belongs to exactly one user.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to find the daily active user count for a period of <code>30</code> days ending <code>2019-07-27</code> inclusively. A user was active on someday if they made at least one activity on that day.</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> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nActivity table:\n+---------+------------+---------------+---------------+\n| user_id | session_id | activity_date | activity_type |\n+---------+------------+---------------+---------------+\n| 1 | 1 | 2019-07-20 | open_session |\n| 1 | 1 | 2019-07-20 | scroll_down |\n| 1 | 1 | 2019-07-20 | end_session |\n| 2 | 4 | 2019-07-20 | open_session |\n| 2 | 4 | 2019-07-21 | send_message |\n| 2 | 4 | 2019-07-21 | end_session |\n| 3 | 2 | 2019-07-21 | open_session |\n| 3 | 2 | 2019-07-21 | send_message |\n| 3 | 2 | 2019-07-21 | end_session |\n| 4 | 3 | 2019-06-25 | open_session |\n| 4 | 3 | 2019-06-25 | end_session |\n+---------+------------+---------------+---------------+\n<strong>Output:</strong> \n+------------+--------------+ \n| day | active_users |\n+------------+--------------+ \n| 2019-07-20 | 2 |\n| 2019-07-21 | 2 |\n+------------+--------------+ \n<strong>Explanation:</strong> Note that we do not care about days with zero active users.\n</pre>\n",
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": false,
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"difficulty": "Easy",
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"likes": 121,
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"dislikes": 116,
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"likes": 545,
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"dislikes": 707,
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"isLiked": null,
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"similarQuestions": "[]",
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"exampleTestcases": "{\"headers\":{\"Activity\":[\"user_id\",\"session_id\",\"activity_date\",\"activity_type\"]},\"rows\":{\"Activity\":[[1,1,\"2019-07-20\",\"open_session\"],[1,1,\"2019-07-20\",\"scroll_down\"],[1,1,\"2019-07-20\",\"end_session\"],[2,4,\"2019-07-20\",\"open_session\"],[2,4,\"2019-07-21\",\"send_message\"],[2,4,\"2019-07-21\",\"end_session\"],[3,2,\"2019-07-21\",\"open_session\"],[3,2,\"2019-07-21\",\"send_message\"],[3,2,\"2019-07-21\",\"end_session\"],[4,3,\"2019-06-25\",\"open_session\"],[4,3,\"2019-06-25\",\"end_session\"]]}}",
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@@ -45,14 +45,33 @@
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef user_activity(activity: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"stats": "{\"totalAccepted\": \"35.7K\", \"totalSubmission\": \"65.8K\", \"totalAcceptedRaw\": 35696, \"totalSubmissionRaw\": 65821, \"acRate\": \"54.2%\"}",
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"stats": "{\"totalAccepted\": \"152.4K\", \"totalSubmission\": \"319.2K\", \"totalAcceptedRaw\": 152440, \"totalSubmissionRaw\": 319175, \"acRate\": \"47.8%\"}",
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"hints": [],
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"solution": null,
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"solution": {
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"id": "1931",
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"canSeeDetail": true,
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"paidOnly": false,
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"hasVideoSolution": false,
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"paidOnlyVideo": true,
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"__typename": "ArticleNode"
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},
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Activity\":[\"user_id\",\"session_id\",\"activity_date\",\"activity_type\"]},\"rows\":{\"Activity\":[[1,1,\"2019-07-20\",\"open_session\"],[1,1,\"2019-07-20\",\"scroll_down\"],[1,1,\"2019-07-20\",\"end_session\"],[2,4,\"2019-07-20\",\"open_session\"],[2,4,\"2019-07-21\",\"send_message\"],[2,4,\"2019-07-21\",\"end_session\"],[3,2,\"2019-07-21\",\"open_session\"],[3,2,\"2019-07-21\",\"send_message\"],[3,2,\"2019-07-21\",\"end_session\"],[4,3,\"2019-06-25\",\"open_session\"],[4,3,\"2019-06-25\",\"end_session\"]]}}",
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"metaData": "{\n \"mysql\": [\n \"Create table If Not Exists Activity (user_id int, session_id int, activity_date date, activity_type ENUM('open_session', 'end_session', 'scroll_down', 'send_message'))\"\n ],\n \"mssql\": [\n \"create table Activity (user_id int, session_id int, activity_date date, activity_type varchar(15) not null check(activity_type in ('open_session', 'end_session', 'scroll_down', 'send_message')))\"\n ],\n \"oraclesql\": [\n \"create table Activity (user_id int, session_id int, activity_date date, activity_type varchar(15) not null check(activity_type in ('open_session', 'end_session', 'scroll_down', 'send_message')))\",\n \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"\n ],\n \"database\": true\n}",
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"metaData": "{\"mysql\": [\"Create table If Not Exists Activity (user_id int, session_id int, activity_date date, activity_type ENUM('open_session', 'end_session', 'scroll_down', 'send_message'))\"], \"mssql\": [\"create table Activity (user_id int, session_id int, activity_date date, activity_type varchar(15) not null check(activity_type in ('open_session', 'end_session', 'scroll_down', 'send_message')))\"], \"oraclesql\": [\"create table Activity (user_id int, session_id int, activity_date date, activity_type varchar(15) not null check(activity_type in ('open_session', 'end_session', 'scroll_down', 'send_message')))\", \"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"], \"database\": true, \"name\": \"user_activity\", \"pythondata\": [\"Activity = pd.DataFrame([], columns=['user_id', 'session_id', 'activity_date', 'activity_type']).astype({'user_id':'Int64', 'session_id':'Int64', 'activity_date':'datetime64[ns]', 'activity_type':'object'})\"], \"postgresql\": [\"Create table If Not Exists Activity (user_id int, session_id int, activity_date date, activity_type VARCHAR(20) CHECK (activity_type IN ('open_session', 'end_session', 'scroll_down', 'send_message')))\\n\"], \"database_schema\": {\"Activity\": {\"user_id\": \"INT\", \"session_id\": \"INT\", \"activity_date\": \"DATE\", \"activity_type\": \"ENUM('open_session', 'end_session', 'scroll_down', 'send_message')\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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@@ -73,7 +92,7 @@
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"]}",
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"envInfo": "{\"mysql\": [\"MySQL\", \"<p><code>MySQL 8.0</code>.</p>\"], \"mssql\": [\"MS SQL Server\", \"<p><code>mssql server 2019</code>.</p>\"], \"oraclesql\": [\"Oracle\", \"<p><code>Oracle Sql 11.2</code>.</p>\"], \"pythondata\": [\"Pandas\", \"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
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"libraryUrl": null,
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"adminUrl": null,
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"challengeQuestion": null,
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