
Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.
The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.
This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.
Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.
The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.
Given a
Weather
table, write a SQL query to find all dates' Ids with higher temperature compared to its previous (yesterday's) dates.For example, return the following Ids for the above Weather table:
这道题给了我们一个Weather表,让我们找出比前一天温度高的Id,由于Id的排列未必是按顺序的,所以我们要找前一天就得根据日期来找,我们可以使用MySQL的函数Datadiff来计算两个日期的差值,我们的限制条件是温度高且日期差1,参见代码如下:
解法一:
下面这种解法我们使用了MySQL的TO_DAYS函数,用来将日期换算成天数,其余跟上面相同:
解法二:
我们也可以使用Subdate函数,来实现日期减1,参见代码如下:
解法三:
最后来一种完全不一样的解法,使用了两个变量pre_t和pre_d分别表示上一个温度和上一个日期,然后当前温度要大于上一温度,且日期差为1,满足上述两条件的话选出来为Id,否则为NULL,然后更新pre_t和pre_d为当前的值,最后选出的Id不为空即可:
解法四:
参考资料:
https://leetcode.com/discuss/33641/two-solutions
https://leetcode.com/discuss/52370/my-simple-solution-using-inner-join
https://leetcode.com/discuss/86435/a-simple-straightforward-solution-and-its-very-fast
LeetCode All in One 题目讲解汇总(持续更新中...)
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