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gitlab跨版本升级到14.6.2
10.0.0 -> 10.8.7 -> 11.11.8 -> 12.0.12 -> 12.1.17 -> 12.10.14 -> 13.0.14 -> 13.1.11 -> 13.8.8 -> 13.12.15 -> 14.0.12 -> l14.1.8 -> 14.2.7 -> 14.3.4 -> 14.4.2 -> 14.5.3 -> 14.6.2 原来的gitlab是直接安装到系统里的 备份后还原到do最新macOS 11.4+Xcode 12.5+iOS 14.6 编译安装WebDriverAgent填坑记
最近要使用腾讯的GAutomator2来进行iOS端的unity游戏UI自动化测试，于是在配置环境阶段需要将WebDriverAgent编译安装到iOS设备上。 我有随时更新系统的习惯，Mac系统不能降级，iPhone系统不能降级。这整个的过程真是一个坑接着一个坑，接下来记录下自己填坑的过程吧。 我的Mac系统是现在Apple Music 推出空间音频和无损音频
Apple在 WWDC 上宣布，将向iOS 14.6、iPadOS 14.6、macOS 11.4 和tvOS 14.6及以上的用户提供空间音频和无损音频。 Apple 表示，在发布时将会提供超过 2000 万首无损质量的歌曲，到 2021 年底，整个 Apple Music 目录中将会提供超过 7500 万首无损音频。无损音频是 Apple Music 独有的，需免费绕过工具iFRPFILE All in One 2.4，支持iOS 12.5.3~14.6
支持iPhone5s~X的所有型号，支持iPad5/6/7、iPad Air1/2、iPad mini2/3/4 支持iOS 12.5.3~14.5.1系统版本 工具的特点： 支持Hello界面三网MEID，完美绕过当游戏机玩，支持iCloud登录 支持停用界面的机器完美绕，支持电话、短信、4G上网。Beta冲刺总结随笔
这个作业属于哪个课程 https://edu.cnblogs.com/campus/fzzcxy/2018SE1/ 这个作业要求在哪里 https://edu.cnblogs.com/campus/fzzcxy/2018SE1/homework/11616 这个作业的目标 Beta冲刺总结 作业正文 如下 其他参考文献 无 项目预期计划 我们项目预期在Beta冲刺计2020-11-29-骑行日记-14.6公里-清源公园
ubuntu---TeamViewer安装
参考图文教程@https://blog.csdn.net/wu_l_v/article/details/79184923 1、sudo dpkg -i teamviewer_14.6.2452_amd64.deb 2、安装出错，一行语句搞定依赖关系 sudo apt-get install -f 3、再次安装 sudo dpkg -i teamviewer_14.6.2452_amd64.deb14.6.12Configuring Optimizer Statistics for InnoDB
14.6.12.1 Configuring Persistent Optimizer Statistics Parameters14.6.12.2 Configuring Non-Persistent Optimizer Statistics Parameters14.6.12.3 Estimating ANALYZE TABLE Complexity for InnoDB TablesThis section describes how to configure persistent and non-p14.6.12.1 Configuring Persistent Optimizer Statist
The persistent optimizer statistics feature improves plan stability by storing statistics to disk and making them persistent across server restarts so that the optimizer is more likely to make consistent choices each time for a given query.持久化优化器统计功能14.6.6 Configuring Thread Concurrency for InnoDB
InnoDB uses operating system threads to process requests from user transactions. (Transactions may issue many requests to InnoDB before they commit or roll back.) On modern operating systems and servers with multi-core processors, where context switching14.6.3.7 Fine-tuning InnoDB Buffer Pool Flushing
The configuration options innodb_flush_neighbors and innodb_lru_scan_depth let you fine-tune aspects of the flushing process for the InnoDB buffer pool.配置选项innodb_flush_neighbors和innodb_lru_scan_depth允许您微调InnoDB 缓冲池的刷新过程的各个方面。 innodb_f14.6.3.3 Configuring Multiple Buffer Pool Instance
For systems with buffer pools in the multi-gigabyte range, dividing the buffer pool into separate instances can improve concurrency, by reducing contention as different threads read and write to cached pages. This feature is typically intended for systems14.6.3.4 Making the Buffer Pool Scan Resistant
Rather than using a strict LRU algorithm, InnoDB uses a technique to minimize the amount of data that is brought into the buffer pool and never accessed again. The goal is to make sure that frequently accessed (“hot”) pages remain in the buffer pool, even14.6.3.5 Configuring InnoDB Buffer Pool Prefetchin
A read-ahead request is an I/O request to prefetch multiple pages in the buffer pool asynchronously, in anticipation that these pages will be needed soon. The requests bring in all the pages in one extent. InnoDB uses two read-ahead algorithms to improve14.6.3.6 Configuring InnoDB Buffer Pool Flushing
InnoDB performs certain tasks in the background, including flushing of dirty pages (those pages that have been changed but are not yet written to the database files) from the buffer pool.InnoDB在后台执行某些任务，包括从缓冲池中刷新脏页（已更改但尚未写入数据库文件14.6.3 InnoDB Buffer Pool Configuration
14.6.3.1 The InnoDB Buffer Pool14.6.3.2 Configuring InnoDB Buffer Pool Size14.6.3.3 Configuring Multiple Buffer Pool Instances14.6.3.4 Making the Buffer Pool Scan Resistant14.6.3.5 Configuring InnoDB Buffer Pool Prefetching (Read-Ahead)14.6.3.6 Configurin14.6.3.1 The InnoDB Buffer Pool
InnoDB maintains a storage area called the buffer pool for caching data and indexes in memory. Knowing how the InnoDB buffer pool works, and taking advantage of it to keep frequently accessed data in memory, is an important aspect of MySQL tuning. For inf14.4.1 Buffer Pool
The buffer pool is an area in main memory where InnoDB caches table and index data as data is accessed. The buffer pool allows frequently used data to be processed directly from memory, which speeds up processing. On dedicated database servers, up to 80%14.6 socket跨域
socket.html <script> // 高级api 不兼容 socket.io // http单向的，socket是双向的，传输都靠tcp let socket = new WebSocket('ws://localhost:3000') socket.onopen = () => { // 多个页面通信就是 先发给服务器，服务器再发给另一个页面 socket.send('我