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https://gitee.com/coder-xiaomo/leetcode-problemset
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@@ -12,12 +12,12 @@
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"translatedContent": "<p><code>Employees</code> 表:</p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| id | int |\n| name | varchar |\n+---------------+---------+\n在 SQL 中,id 是这张表的主键。\n这张表的每一行分别代表了某公司其中一位员工的名字和 ID 。\n</pre>\n\n<p> </p>\n\n<p><code>EmployeeUNI</code> 表:</p>\n\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| id | int |\n| unique_id | int |\n+---------------+---------+\n在 SQL 中,(id, unique_id) 是这张表的主键。\n这张表的每一行包含了该公司某位员工的 ID 和他的唯一标识码(unique ID)。\n</pre>\n\n<p> </p>\n\n<p>展示每位用户的<strong> 唯一标识码(unique ID )</strong>;如果某位员工没有唯一标识码,使用 null 填充即可。</p>\n\n<p>你可以以<strong> 任意</strong> 顺序返回结果表。</p>\n\n<p>返回结果的格式如下例所示。</p>\n\n<p> </p>\n\n<p><strong class=\"example\">示例 1:</strong></p>\n\n<pre>\n<code><strong>输入:</strong>\nEmployees</code> 表:\n+----+----------+\n| id | name |\n+----+----------+\n| 1 | Alice |\n| 7 | Bob |\n| 11 | Meir |\n| 90 | Winston |\n| 3 | Jonathan |\n+----+----------+\n<code>EmployeeUNI</code> 表:\n+----+-----------+\n| id | unique_id |\n+----+-----------+\n| 3 | 1 |\n| 11 | 2 |\n| 90 | 3 |\n+----+-----------+\n<strong>输出:</strong>\n+-----------+----------+\n| unique_id | name |\n+-----------+----------+\n| null | Alice |\n| null | Bob |\n| 2 | Meir |\n| 3 | Winston |\n| 1 | Jonathan |\n+-----------+----------+\n<strong>解释:</strong>\nAlice and Bob 没有唯一标识码, 因此我们使用 null 替代。\nMeir 的唯一标识码是 2 。\nWinston 的唯一标识码是 3 。\nJonathan 唯一标识码是 1 。</pre>\n",
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"isPaidOnly": false,
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"difficulty": "Easy",
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"similarQuestions": "[]",
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{
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"name": "Database",
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@@ -40,6 +40,12 @@
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"code": "/* Write your T-SQL query statement below */",
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},
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"lang": "PostgreSQL",
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"langSlug": "oraclesql",
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@@ -51,15 +57,9 @@
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef replace_employee_id(employees: pd.DataFrame, employee_uni: pd.DataFrame) -> pd.DataFrame:\n ",
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below",
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"status": null,
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