When we use the cache, whether it is Redis or memcached, we basically encounter the following three issues: Cache-through-cache concurrency cache invalidation
First, the cache penetrates
Note:What's wrong with the above three graphs?
Our use of caching in our projects is
Preface
To design a caching system, the problem that has to be considered is: cache penetration, cache breakdown and failure of avalanche effect.Cache Penetration
Cache penetration means querying a data that does not exist, because the cache is written passively when it is not hit, and for fault tolerance, if no data
Level 1 cache and level 2 Cache
A. level 1 cache (Session-level cache): load the same object twice in a session. During load, Hibernate first searches for the object in the session cache, load data to the database if not found. Therefore, when an object is loaded twice in th
In "MVC cache 01, use controller cache or data layer cache", you can set useful cache time in the data layer. However, this is not "intelligent". It is often expected to invalidate the cache and load new data when it is modified or created.
□Ideas
1. the
Several caches, need to use the front-end configuration, plus a backend instance withFragment cache:Public Function indexaction () { //render page $this->view->settemplateafter (' common '); Cache fragments Front-end configuration $frontcache = new \phalcon\cache\frontend\output (Array ( "lifetime" = 86400 );Back-end processing $
The cache memory is a temporary memory located between the CPU and memory. It has much smaller capacity than the memory, but the switching speed is much faster than the memory. The emergence of cache mainly aims to solve the conflict between the CPU operation speed and the memory read/write speed, because the CPU operation speed is much faster than the memory read/write speed, this will take the CPU a long
Preface
I believe most developers are familiar with caching. Many developers use predefined or custom caching in software development and obtain the expected applications.ProgramPerformance improvement. This article and subsequentArticleThis section describes and discusses in detail the cache implementation mechanism under the. NET system, and discusses its advantages and disadvantages.
Actual value of Using Cache:InKevinhoffman,LonnykrugerW
Browser HTTP cache mechanism and cache rule parsing, cache mechanism rule Parsing
When a static file (image, css, js) is requested, these files are stored as files that do not change frequently, the client is a method to optimize user browsing experience. So this is the significance of the client cache.
The Http
In the previous section, we implemented the random cache algorithm and the FIFO cache algorithm. Now, we will continue to implement two other famous cache algorithms: LFU and LRU. Once again, this code is only used for demonstration. If you want to use it in an application, you need to add additional work.Let's look at the implementation of the LFU
Explore ASP. NET MVC5 series ~~~ 5. cache (page cache + secondary cache), asp. netmvc5
In fact, any knowledge points in any materials do not matter, it is not important, the important thing is the learning method, self-exploration process (if not, please correct me)
Summary:Http://www.cnblogs.com/dunitian/p/4822808.html#mvc
Demo in this Chapter: Bytes
This is a
Overview:
The client cache mechanism is a very important task in Android Application Development. Using the cache mechanism can not only save 3G traffic for users, but also provide a good choice for user experience.
The cache mechanism is divided into two parts: Text cache and multimedia file
In pediy.com sent a translation, simply reproduced here.The cache manager is a tightly integrated software component of the NT Memory manager that integrates the file system cache data with the virtual memory system.The advantage is that the use of physical memory and the file cache and the system run program are balanced for application under the
This article is very interesting.ProgramThe interview started with an interesting introduction to cache-related topics. This series of articles is very interesting. I happen to have a plan to learn cache this month, so I am going to translate this series of articles. It is a translation, but it is only translated according to your own understanding. If it is inaccurate, please forgive me. If you are also in
Http://zeroq.me/p/279
I. cache penetration
When cache is used in projects, the app first checks whether the cache exists. If cache content exists, the app directly queries the database and then caches the query result and returns it. At this time, if a piece of data we query does not exist in the
Reference article: Cache penetration, Cache breakdown, Cache avalanche concepts and solutions I. Cache Breakdown 1. ConceptCache breakdown refers to a high concurrency situation in the cache when the resource does not exist , causing the
HTML config no-cache (memo)No-cache ConfigurationThe HTML table header is as follows
Meta http-equiv= "content-type" content= "text/html; Charset=utf-8 " />
Meta http-equiv= "pragma" content="No-cache">
Meta http-equiv= "cache-control" content="No-ca
Cache breakdown
Definition: the cache key generally has an expiration time. If a key expires, when a large number of concurrent requests access this key, all these requests will reach the DB, this results in a high load on the database in an instant.
Solution: 1. Set mutex and mutex. When the cache is invalid, access the database immediately from time to time, bu
Cache invalidation :The main factor that causes this is high concurrency, we generally set a cache expiration time, there may be some will set 5 minutes ah, 10 minutes of these; High concurrency may occur at a time when a lot of cache is generated, and the expiry time at the same time, this time can be raised-when the expiration time , these caches are invalidate
1, first for the local memory cache, is to cache the data in the native memory, as shown in 1:2, distributed cache mechanism: There may be cross-process, access to cache data across domainsFor distributed caches, because the cached data is placed in the cache server, or, at
First, cache penetration
Our use of caching in projects is usually the app that checks for the existence of the cache, and if there is a direct return of cached content, query the database directly if it does not exist and then cache the query results back. This time if we query a certain data in the cache does not ex
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