memcached

How to update expiration time in MemCached using Dalli?

由 空扰寡人 提交于 2019-12-13 01:54:18
问题 I'm using Ruby on Rails (v3.2.13), Dalli (v2.6.4) and MemCached (v1.4.13). I do caching like this: result = Rails.cache.fetch("test_key", :expires_in => 1.week) do get_data() # slow call, result of which should be cached end I want to update cache expiration date based on the data, since some of my data can be kept longer. Right now the following code does the job: if keep_longer(result) Rails.cache.write("test_key", result, :expires_in => 6.months) end I know that MemCached supports "touch"

memcached python客户端编写实践

由 倖福魔咒の 提交于 2019-12-12 23:10:27
【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> Memcached Python Client 本小菜刚学完python，想写点小东西练练手，然后看到memcached这个东东熟悉了下，感觉自己还能实现一点基本的功能（对于memcached这种分布式靠客户端来实现的神器，一些最重要的功能我都是还没有实现的。。。这个。。。），于是写了如下拙劣的代码，请各位大牛拍砖。。。 #!/usr/bin/env python ''' This is a fake memcached client. Overview ======== Cachedog use python native socket APIs to access memcached server. It is inspired by python-memcached. This stuff is aim to be familiar with Python language, for the author is a beginner for python. Commands ======== Standard Protocol: command <key> <flags> <expiration time> <bytes> <value> The "standard protocol stuff" of

repcached实现memcached主备

由 一个人想着一个人 提交于 2019-12-12 22:41:22
【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> 介绍 repcached是日本人开发的基于Memcached的一个patch，实现Memcached的复制功能，它支持多个Memcached之间相互复制（双向复制，主备都是可读可写的），可以解决Memcached的容灾问题。我们主要是用作Memcached的主备。 安装 repcached 的安装非常简单，首先确定是否已经安装： yum install libevent-devel -y 之后就开始安装repcached ： wget http://downloads.sourceforge.net/repcached/memcached-1.2.8-repcached-2.2.tar.gz tar -zxf memcached-1.2.8-repcached-2.2.tar.gz cd memcached-1.2.8-repcached-2.2 ./configure --enable-replication --program-transform-name=s/memcached/repcached/ make && make install 程序安装在/usr/local/bin目录下。 至此，repcached安装完成。 启动 root用户启动要加参数-u root，非root用户不需要 参数说明：

Python-memcached的基本使用

由 一世执手 提交于 2019-12-12 22:41:12
【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> 想学Python，又想研究下memcached的客户端，于是拿Python-memcached研究研究~~~ 1.memcached的安装 请参考本博另一文章《 Linux下安装memcached 》 启动一个memcached实例： memcached -m 10 -p 12000 2.Python-memcached安装 到 ftp://ftp.tummy.com/pub/python-memcached/ 下载最新版本的API，并解压tar包 输入 python setup.py install 命令进行安装 3.小例子演示 将memcached.pyc拷贝到工作目录 #!/usr/bin/env python import memcache mc = memcache.Client(['127.0.0.1:12000'],debug=0) mc.set("foo","bar") value = mc.get("foo") print value 输出得到bar 4.Python-memcached API总结 整个memcache.py只有1241行，相当精简 主要方法如下： @set(key,val,time=0,min_compress_len=0) 无条件键值对的设置，其中的time用于设置超时

Python中类的属性及方法的总结及python改写memocache启动脚本举例

由 China☆狼群 提交于 2019-12-12 22:40:56
【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> 1.类的属性总结 类属性，也是公有属性， 类的私有属性， 对象的共有属性， 对象的私有属性， 内置属性， 函数的局部变量， 全局变量， #/usr/bin/env python # -*- coding:utf-8 -*- class MyClass(object): var1 = '类属性，类的公有属性 var1' __var2 = '类的私有属性 __var2' def func1(self): self.var3 = '对象的公有属性 var3' self.__var4 = '对象的私有属性 __var4' var5 = '函数的局部变量' mc = MyClass() mc.func1() #调用后才测打印出var3 print mc.var1 print mc._MyClass__var2 print mc.var3 mc1 = MyClass() # mc1.func1() #mc1没有调用方法 print mc1.var3 通过类访问： #/usr/bin/env python # -*- coding:utf-8 -*- # @time :2018/1/2 21:06 # @Author :FengXiaoqing # @file :__init__.py.py # var6 = '全局变量 '

python访问memcached

由 旧城冷巷雨未停 提交于 2019-12-12 22:31:20
【推荐】2019 Java 开发者跳槽指南.pdf(吐血整理) >>> python访问memcached memcached介绍 Memcached 是一个高性能的分布式内存对象缓存系统，用于动态Web应用以减轻数据库负载。它通过在内存中缓存数据和对象来减少读取数据库的次数，从而提高动态、数据库驱动网站的速度。Memcached基于一个存储键/值对的hashmap。其守护进程（daemon ）是用C写的，但是客户端可以用任何语言来编写，并通过memcached协议与守护进程通信。 memcached在实现分布式群集部署时，memcached服务之间是不能进行通讯的，分布式也是通过客户端的算法把数据保存在不同的memcached中。magent是一款开源的代理服务软件，我们可以通过它来实现缓存数据的同步。magent还可以使用keepalived来实现高可用。 memcached安装 安装 在linux下安装 安装libevent Libevent 是一个异步事件处理软件函式库，以 BSD 许可证释出。Memcached 依赖 Libevent，因此必须先安装 Libevent。 1 yum install libevent-devel 安装memcached 1 2 3 4 5 6 cd /usr/local/src wget http://memcached.org

Access ElastiCache memcache instance from local development environment

由 ＊爱你＆永不变心＊ 提交于 2019-12-12 20:53:43
问题 Is there any way to access cache nodes from local development environment? Although the same cache nodes are accessible from EC2 instance. I'm using Enyim memcache client library with C#. I found few article saying this is not possible then what should be best approach. Should i need to setup memcache locally for development work? 回答1: When you create your Elastic Cache cluster, you have to define a Security Group. A Security group is a set of rules that define what IP addresses are

How to store a database intensive page into cache from a background process in rails

由 独自空忆成欢 提交于 2019-12-12 20:01:57
问题 In my website i have a database intensive page which i cache for 5 mins. But still the performance is hit when the cache expires and the page has to be rendered freshly. I was thinking why not compute the page from a background process(like workling) once in 5 mins and store it in the cache and let the user request be serve from the cache everytime. And as a result no user have to wait for this page to be rendered. Is there a efficient way to do it? Any help very much appreciated. Thanks, 回答1

How is JPA and Memcached different?

由 血红的双手。 提交于 2019-12-12 19:17:45
问题 I am trying to figure out the difference between Memcached and JPA, this is what I infer from the information I have Memcached: Cache data and objects in memory, like an on the fly database to quickly access the data. This layer is just above the actual db (say my sql). It has its own columns and rows, where can you keep some temporary data (hot data). A small database, in RAM. JPA: manage relational data (data which should go in database), developed to make life easy, i.e. we don't have to

Can a Memcached daemon ever free() unused memory, without terminating the process?

由 一曲冷凌霜 提交于 2019-12-12 18:24:37
问题 I believe that you can't force a running Memcached instance to de-allocate memory, short of terminating that Memcached instance (and freeing all of the memory it held). Does anyone know of a definitive piece of documentation, or even a mailing list or blog posting from a reliable source, that can confirm or deny this impression? As I understand it, a Memcached process initially allocates a chunk of memory (the exact initial allocation size is configurable), and then monotonically increases
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