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批量更新数据
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@@ -12,12 +12,12 @@
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"translatedContent": "表:<code>Stadium</code>\n<pre>\n+---------------+---------+\n| Column Name | Type |\n+---------------+---------+\n| id | int |\n| visit_date | date |\n| people | int |\n+---------------+---------+\nvisit_date 是该表中具有唯一值的列。\n每日人流量信息被记录在这三列信息中:<strong>序号</strong> (id)、<strong>日期</strong> (visit_date)、 <strong>人流量</strong> (people)\n每天只有一行记录,日期随着 id 的增加而增加\n</pre>\n\n<p> </p>\n\n<p>编写解决方案找出每行的人数大于或等于 <code>100</code> 且 <code>id</code> 连续的三行或更多行记录。</p>\n\n<p>返回按 <code>visit_date</code> <strong>升序排列</strong> 的结果表。</p>\n\n<p>查询结果格式如下所示。</p>\n\n<p> </p>\n\n<p><strong>示例 1:</strong></p>\n\n<pre>\n<code><strong>输入:</strong>\nStadium</code> 表:\n+------+------------+-----------+\n| id | visit_date | people |\n+------+------------+-----------+\n| 1 | 2017-01-01 | 10 |\n| 2 | 2017-01-02 | 109 |\n| 3 | 2017-01-03 | 150 |\n| 4 | 2017-01-04 | 99 |\n| 5 | 2017-01-05 | 145 |\n| 6 | 2017-01-06 | 1455 |\n| 7 | 2017-01-07 | 199 |\n| 8 | 2017-01-09 | 188 |\n+------+------------+-----------+\n<strong>输出:</strong>\n+------+------------+-----------+\n| id | visit_date | people |\n+------+------------+-----------+\n| 5 | 2017-01-05 | 145 |\n| 6 | 2017-01-06 | 1455 |\n| 7 | 2017-01-07 | 199 |\n| 8 | 2017-01-09 | 188 |\n+------+------------+-----------+\n<strong>解释:\nid</strong> 为 5、6、7、8 的四行 id 连续,并且每行都有 >= 100 的人数记录。\n请注意,即使第 7 行和第 8 行的 visit_date 不是连续的,输出也应当包含第 8 行,因为我们只需要考虑 id 连续的记录。\n不输出 id 为 2 和 3 的行,因为至少需要三条 id 连续的记录。</pre>\n",
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@@ -80,7 +80,7 @@
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"insert into Stadium (id, visit_date, people) values ('8', '2017-01-09', '188')"
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