一、 Redis简单介绍

REmote DIctionary Server(Redis) 是一个由Salvatore Sanfilippo写的key-value存储系统。
Redis是一个开源的使用ANSI C语言编写、遵守BSD协议、支持网络、可基于内存亦可持久化的日志型、Key-Value数据库,并提供多种语言的API。
它通常被称为数据结构服务器,因为值(value)可以是 字符串(String), 哈希(Hash), 列表(list), 集合(sets) 和 有序集合(sorted sets)等类型。

https://redis.io/

二、 Redis的安装

https://www.cnblogs.com/it-cen/p/4295984.html

https://www.cnblogs.com/peteremperor/p/6635767.html

三、 Redis的简单入门

https://www.cnblogs.com/wxd0108/p/5729739.html

https://blog.csdn.net/u011277123/article/details/78692603/

https://blog.csdn.net/zlc3323/article/details/80836881

https://www.cnblogs.com/mengqingjian/archive/2018/03/02/8491710.html

MSOpenTech Redis 3.2 Release Notes

Welcome to the binary release of Redis from Microsoft Open Technologies, Inc.

- Redis on UNIX release notes: https://raw.githubusercontent.com/antirez/redis/3.2/00-RELEASENOTES

- Redis on Windows release notes: https://raw.githubusercontent.com/MSOpenTech/redis/3.2/Redis%20on%20Windows%20Release%20Notes.md

MSOpenTech’s Redis on Windows

We strive to have a stable, functionally equivalent and comparably performing version of Redis on Windows. We have achieved performance nearly identical to the POSIX version running head-to-head on identical hardware across the network. Aside from feature differences that help Redis take advantage of the Windows infrastructure, our version of Redis should work in most situations with the identical setup and configuration that one would use on a POSIX operating system.

How is Redis on Windows implemented?

Redis is a C code base that compiles under Visual Studio. Most of the code compiles with only minor changes (due to syntactical differences between compilers and low-level API differences on Windows). There are a few areas where there are significant differences in how efficient Windows programs operate relative to POSIX programs. We have encapsulated most these differences in a platform specific library. The areas where there are significant differences are:

  • Networking APIs
  • POSIX File Descriptors
  • POSIX fork()
  • Logging
  • Windows Services API

Networking Differences

The Windows networking stack is split between user mode code and kernel mode code. Transitions between user and kernel mode are expensive operations. The POSIX networking APIs on Windows utilize a programming model that incurs significant performance loss due to the kernel/user mode transitions. Efficient Windows networking code instead uses the IO Completion Port model to reduce the impact of this behavior. The APIs used and the programming model for IO Completion is different enough that we were forced to implement a new networking layer in Redis.

File Descriptors

In a POSIX operating system, all data sources (files, pipes, sockets, mail slots, etc.) are referenced in code with a handle called a file descriptor. These are low value integers that increment by one with each successive file descriptor creation. All POSIX APIs that work with file descriptors will function without the programmer having to know what kind of data source a file descriptor represents. On Windows, each kind of data source has a separate kind of HANDLE. APIs that work with one HANDLE type will not work with another kind of HANDLE. In order to make Redis operate with its assumptions about file descriptor values and data source agnosticism, we implemented a Redis File Descriptor API layer.

fork()

The POSIX version of Redis uses the fork() API. There is no equivalent in Windows, and it is an exceedingly difficult API to completely simulate. For most of the uses of fork() we have used Windows specific programming idioms to bypass the need to use a fork()-like API. The one case where we could not do so was with the point-in-time heap snapshot behavior that the Redis persistence model is based on. We tried several different approaches to work around the need for a fork()-like API, but always ran into significant performance penalties and stability issues.

Our current approach is to simulate the point-in-time snapshot behavior aspect of fork() without doing a complete simulation of fork(). We do this with the system-paging file that contains the Redis heap. When a fork() operation is required we do the following:

  • Mark every page in the heap with the Copy on Write page protection
  • Start a child process and pass it the handle to the heap mapped to the system-paging file
  • Signal the child to start the AOF or RDB persistence process on the memory shared via the system-paging file
  • Wait (asynchronously) for the child process to finish
  • Map the changes in the Redis heap that occurred during the fork() operation back into the parent process heap.

The upside with this implementation is that our performance and stability is now on par with the POSIX version of Redis. The down side is that we have a runtime system-paging file space requirement for Redis. A system-paging file at least of the size of physical memory is suggested.

The default configuration of Windows allows the page file to grow to 3.5 times the size of physical memory.  There are scenarios where 3rd party programs also compete for system paging file space at runtime.

Logging

In addition to file-based logging, the POSIX version of Redis supports logging via the syslog facility. The equivalent in Windows is the Event Log. With the addition of the Windows Service code we have added support for logging to the Event Log. We have mapped the –syslogxxxx flags for this purpose.

Windows Service

In version 2.8.9 we added support to make Redis operate as a service. See the “Windows Service Documentation.docx” file included with the GitHub binary distribution for a description of the service commands available.

Redis on Windows Best Practices

Binary Distributions

The GitHub repository should be considered a work in progress until we release the NuGet and Chocolatey packages and tag the repository at that released version.

For instance, the Windows Service feature has taken many iterations with community input to get right. Since the initial Windows service code was checked we have added the following to the service based on community input:

  • Self-elevation of the Redis executable so that service commands would work from a non-elevated command prompt.
  • Service naming so that multiple instances of the Redis service could be installed on one machine.
  • Automatically adjusting folder permissions so that when Redis is run under the NETWORK SERVICE account it could modify the files in the installation directory.
  • Moved all of the pre-main() error reporting code (service and quasi-fork code) that could write errors to stdout to use the Redis logging code. This allows service initialization errors to reach the Event Log. This required intercepting all of the command line and conf file arguments before main() in order to properly initialize the logging engine. There were several fixes related to the intricacies of how to interpret the arguments passed to Redis.

Heap Sizing

Native heaps are prone to fragmentation. If we are not able to allocate more heap space due to fragmentation, Redis will flag the problem and exit. Unlike the POSIX version of Redis, our heap size is constrained by the system-paging file space. It is important to consider how much data you are expecting to put into Redis, and how much fragmentation you are likely to see in the Redis heap. High levels of fragmentation of the heap may cause to run into an out of heap space. In this case, an increase of the size of the system-paging file may solve the problem.

Installation and Maintenance

Since Redis uses the system-paging file, the most stable configurations will only have Redis running on essentially a virgin operating system install.

Redis is xcopy deployable. There should be no problem upgrading versions by simply copying new binaries over old ones (assuming they are not currently in use).

Service Account

When using Redis as a Windows service, the default installation configures Redis to run under the system’s NETWORK SERVICE account. There are some environments where another account must be used (perhaps a domain service account). Configuration of this account needs to be done manually at this point with the service control manager. If this is done, it is also important to give read/write/create permission to the folder that the Redis executable is in to this user identity.

Redis notes的更多相关文章

  1. django celery redis 定时任务

    0.目的 在开发项目中,经常有一些操作时间比较长(生产环境中超过了nginx的timeout时间),或者是间隔一段时间就要执行的任务. 在这种情况下,使用celery就是一个很好的选择.   cele ...

  2. django+celery+redis实现运行定时任务

    0.目的 在开发项目中,经常有一些操作时间比较长(生产环境中超过了nginx的timeout时间),或者是间隔一段时间就要执行的任务. 在这种情况下,使用celery就是一个很好的选择.   cele ...

  3. 从零搭建springboot服务03-redis消息订阅

    愿历尽千帆,归来仍是少年 1.所需依赖 <!-- Redis依赖 --> <dependency> <groupId>org.springframework.boo ...

  4. Redis 5.0.0 releases notes

    Redis 5.0 release notes ======================= ---------------------------------------------------- ...

  5. Redis Cluster Notes

    Redis Cluster Goal:     1. 最大支持1000个节点的高性能.可线性扩展集群:集群架构中无Proxy层,主从间采用异步同步机制(replication),无merge层(不支持 ...

  6. Day12-mysql&&redis

    1. 数据库介绍 什么是数据库? 数据库(Database)是按照数据结构来组织.存储和管理数据的仓库,每个数据库都有一个或多个不同的API用于创建,访问,管理,搜索和复制所保存的数据.我们也可以将数 ...

  7. 转载----How fast is Redis?

    How fast is Redis? Redis includes the redis-benchmark utility that simulates running commands done b ...

  8. Redis安装配置与Jedis访问数据库

    一.NOSQL概要 NoSQL(NoSQL = Not Only SQL ),意即“不仅仅是SQL”,泛指非关系型的数据库.NoSQL数据库的四大分类 键值(Key-Value)存储数据库 这一类数据 ...

  9. Redis/SSDB+Twemproxy的配置与使用(Mac/Linux平台)

    对于redis而已,相信不少的后台开发人员一直都在使用,相比memcache而已,redis不仅可以作为key-value缓存使用,而且提供了丰富的数据结构如set.list.map等,能够实现很多复 ...

随机推荐

  1. Cent Linux启动tomcat慢的问题

    Tomcat7的session id的生成主要通过java.security.SecureRandom生成随机数来实现,随机数算法使用的是”SHA1PRNG”. 是因为一个JDK一个bug,在这个bu ...

  2. linux下SVN忽略指定文件/文件夹

    http://www.cnblogs.com/fjping0606/p/4743009.html 1.配置SVN默认编辑器vi ~/.bash_profile最后一行加上:export SVN_EDI ...

  3. Spring Boot 2 (七):Spring Boot 如何解决项目启动时初始化资源

    Spring Boot 2 (七):Spring Boot 如何解决项目启动时初始化资源 在项目启动的时候需要做一些初始化的操作,比如初始化线程池,提前加载好加密证书等.今天就给大家介绍一个 Spri ...

  4. oracle orion hugepages_settings.sh(支持OEL 7,4.1内核)

    orion需要首先配置hugepage,否则会出现下列错误. [root@yyxxdb01 ~]# /opt/app/11.2.0/grid_home/bin/orion -run oltp -tes ...

  5. Python之字符编码(一)

    一.了解字符编码的知识储备? 1.计算机基础知识? 计算机中所有的软件文件(包括:操作系统)都存储在硬盘,启动计算机,计算机需要把系统文件都去到内存中. 2.文本编辑器存取文件的原理(nodepad+ ...

  6. 为什么不应该使用ZooKeeper做服务发现

    [编者的话]本文作者通过ZooKeeper与Eureka作为Service发现服务(注:WebServices体系中的UDDI就是个发现服务)的优劣对比,分享了Knewton在云计算平台部署服务的经验 ...

  7. spring boot 结合Redis 实现工具类

    自己整理了 spring boot 结合 Redis 的工具类引入依赖 <dependency> <groupId>org.springframework.boot</g ...

  8. 【4opencv】求解向量和轮廓的交点

    在“学习OpenCV3"的QQ群众,网友且行且珍惜针对前期博客(https://www.cnblogs.com/jsxyhelu/p/9345590.html)中的内容提出了以下问题: 比如 ...

  9. 20145221高其_Final

    20145221高其_Final 免考题目 密码保密与信息安全大赛--网络攻防 免考内容 CTF简介 CTF(Capture The Flag)中文一般译作夺旗赛,在网络安全领域中指的是网络安全技术人 ...

  10. UVa Live 4670 Dominating Patterns - Aho-Corasick自动机

    题目传送门 快速的通道I 快速的通道II 题目大意 给定一堆短串,和一个文本串,问哪些短串在文本串中出现的次数最多. 我觉得刘汝佳的做法,时间复杂度有问题.只是似乎这道题短串串长太短不好卡.比如给出的 ...