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Generative AI models have been co-opted to synthesize things from faces and apartments to butterflies, but a novel subcategory seeks to bring awareness to climate change by illustrating the consequences of catastrophic flooding. In an effort to establish a metric to quantify the veracity of these synthetic climate change images, researchers University of Montreal and Stanford University researchers recently detailed “several” evaluation methods in a preprint paper. They say that their work, while preliminary, begins to bridge the gap between automated and human-based generative quantification.

本篇介绍典型的基于SStable的存储。适用于与SSD一起使用。更多存储相关见： https://segmentfault.com/a/11... 。涉及到leveldb,rocksdb。基本上分布式都要单独做，重点是单机架构，数据写入，合并，ACID等功能和性能相关的。 先对性能有个直观认识： mysql写入千条/s，读万应该没问题。redis 写入 万条/s 7M/s(k+v 700bytes，双核)读是写入的1.4倍 mem 3gb 2核。这两个网上搜的，不保证正确，就看个大概吧。 SSD上 rocksdb随机和顺序的性能差不多，写要比读性能稍好。随机读写1.7万条/s 14M/s （32核）。batch_write/read下SSD单线程会好8倍。普通write只快1.2倍。 没有再一个机器上的对比。rocksdb在用SSD和batch-write/read下的读写性能还是可以的。 第一章 levelDb 架构图 读取过程 数据的读取是按照 MemTable、Immutable MemTable 以及不同层级的 SSTable 的顺序进行的，前两者都是在内存中，后面不同层级的 SSTable 都是以 *.ldb 文件的形式持久存储在磁盘上 写入过程 1.调用 MakeRoomForWrite 方法为即将进行的写入提供足够的空间； 在这个过程中，由于 memtable

Moving Tables Time Limit: 1000MS Memory Limit: 10000K Total Submissions: 32929 Accepted: 11032 Description The famous ACM (Advanced Computer Maker) Company has rented a floor of a building whose shape is in the following figure. The floor has 200 rooms each on the north side and south side along the corridor. Recently the Company made a plan to reform its system. The reform includes moving a lot of tables between rooms. Because the corridor is narrow and all the tables are big, only one table can pass through the corridor. Some plan is needed to make the moving efficient. The manager figured