memcached

Application cache v.s. hibernate second level cache, which to use? [closed]

由 限于喜欢 提交于 2020-01-13 06:57:49
问题 Closed . This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 5 years ago . I have a choice to use application cache, that is manually cache objects to a distribute memcached/redis cluster OR let hibernate second level cache to do the cache work (for those application object). which to use is better? 回答1: It really depends on your application

Memcached查看和清理

由 谁说胖子不能爱 提交于 2020-01-12 07:13:06
1.一种 telnet localhost 11211 #登陆 stats #查看状态 flush_all #清理 quit #退出 2.又学到一个: echo 'flush_all' | nc localhost 11211 3. 1、数据存储(假设key为test,value为12345) printf "set test 0 1 5\r\n12345\r\n" | nc localhost 11211 STORED 2.数据取回(假设key为test) printf "get test\r\n" | nc localhost 11211 VALUE test 0 5 12345 END 3.数据增加1(假设key为test并且value为正整数) printf "incr test 1\r\n" | nc localhost 11211 123456 4.数值减少3(假设key为test,并且value为正整数) printf "decr test 3\r\n" | nc localhost 11211 5.数据删除(假设key为test) printf "delete test\r\n" | nc localhost 11211 DELETED 6.查看Memcached状态 printf "stats\r\n" | nc localhost 11211 7.模拟top命令

Performance issues with App Engine memcache / ndb.get_multi

由 ♀尐吖头ヾ 提交于 2020-01-12 01:47:06
问题 I'm seeing very poor performance when fetching multiple keys from Memcache using ndb.get_multi() in App Engine (Python). I am fetching ~500 small objects, all of which are in memcache. If I do this using ndb.get_multi(keys) , it takes 1500ms or more. Here is typical output from App Stats: and As you can see, all the data is served from memcache. Most of the time is reported as being outside of RPC calls. However, my code is about as minimal as you can get, so if the time is spent on CPU it

memcached查看和清理

由 妖精的绣舞 提交于 2020-01-11 23:21:26
1.一种 　　telnet localhost 200001 #登陆 　　stats #查看状态 　　flush_all #清理 　　quit #退出 　　2.又学到一个： 　　echo 'flush_all' | nc localhost 200001 　　3. 　　1、数据存储（假设key为test，value为12345） 　　printf "set test 0 0 5\r\n12345\r\n" | nc 127.0.0.1 200001 　　STORED 　　2、数据取回（假设key为test） 　　printf "get test\r\n" | nc 127.0.0.1 200001 　　VALUE test 0 5 　　12345 　　END 　　3、数值增加1（假设key为test，并且value为正整数） 　　printf "incr test 1\r\n" | nc 127.0.0.1 200001 　　12346 　　4、数值减少3（假设key为test，并且value为正整数） 　　printf "decr test 3\r\n" | nc 127.0.0.1 200001 　　12343 　　5、数据删除（假设key为test） 　　printf "delete test\r\n" | nc 127.0.0.1 11211 　　DELETED 　　6

redis测试题

由 [亡魂溺海] 提交于 2020-01-10 10:06:36
1、什么是Redis？ Redis本质上是一个Key-Value类型的内存数据库，很像memcached，整个数据库统统加载在内存当中进行操作，定期通过异步操作把数据库数据flush到硬盘上进行保存。因为是纯内存操作，Redis的性能非常出色，每秒可以处理超过 10万次读写操作，是已知性能最快的Key-Value DB。 Redis的出色之处不仅仅是性能，Redis最大的魅力是支持保存多种数据结构，此外单个value的最大限制是1GB，不像 memcached只能保存1MB的数据，因此Redis可以用来实现很多有用的功能，比方说用他的List来做FIFO双向链表，实现一个轻量级的高性 能消息队列服务，用他的Set可以做高性能的tag系统等等。另外Redis也可以对存入的Key-Value设置expire时间，因此也可以被当作一 个功能加强版的memcached来用。 Redis的主要缺点是数据库容量受到物理内存的限制，不能用作海量数据的高性能读写，因此Redis适合的场景主要局限在较小数据量的高性能操作和运算上。 2、Redis相比memcached有哪些优势？ (1) memcached所有的值均是简单的字符串，redis作为其替代者， 支持更为丰富的数据类型 (2) redis的速度比memcached快很多 (3) redis可以持久化其数据 3、Redis支持哪几种数据类型

Hibernate EHCache vs MemCache

由 こ雲淡風輕ζ 提交于 2020-01-10 08:26:07
问题 I would like to use caching in my web application which will be scalable and distributed as well. I have used EHCache and MemCache both in small-small web application separately. Have googled and got mixed review about both, hence would like to get some help and strong features of each, so i can decided which framework is suitable for my web application. Let me know if need further details. Thanks !! 回答1: EHCache is very easy to integrate with Hibernate applications (web apps that use

Cache a django view that has URL parameters

由 孤者浪人 提交于 2020-01-10 08:24:23
问题 I have recently implemented Django's excellent cache framework. However from what I understand Django will not cache a view that is passed parameters in a get request. I have an Ajax view that is passed get parameters that I would like to cache for X seconds, what would be an easy way to do this? In psuedo code I currently have a URL: http://mysites/ajaxthing/?user=foo&items=10 I would like to cache any this url as long as it has the same get parameters. I'm currently using the cache

Memcached: How to break the limitation when retrieving all keys

由 ≯℡__Kan透↙ 提交于 2020-01-10 05:09:35
问题 Due to the fact I could not find any reliable program in the net which retrieves all memcache keys once the key count in a slab > 500k I wanted to write my own program in PHP. Then I realized there is a reason why all of the programs did not really work for this high amount of keys. When I read the keys with stats cachedump <slab-id> <limit> it returns only a certain amount of keys which ends - in my case - by around 30k. How can I get at least these 500k which may be in one slab? All the

Memcached: How to break the limitation when retrieving all keys

由 自古美人都是妖i 提交于 2020-01-10 05:09:25
问题 Due to the fact I could not find any reliable program in the net which retrieves all memcache keys once the key count in a slab > 500k I wanted to write my own program in PHP. Then I realized there is a reason why all of the programs did not really work for this high amount of keys. When I read the keys with stats cachedump <slab-id> <limit> it returns only a certain amount of keys which ends - in my case - by around 30k. How can I get at least these 500k which may be in one slab? All the

TTserver

由 会有一股神秘感。 提交于 2020-01-10 04:07:50
简介 ttserver是一款 DBM 数据库，该数据库读写非常快，哈希模式写入100万条数据只需0.643秒，读取100万条数据只需0.773秒 利用Tokyo Tyrant构建兼容Memcached协议、支持故障转移、高并发的分布式key-value持久 存储系统 。key-value 分布式存储系统 查 询速度快、存放数据量大、支持高并发，非常适合通过主键进行查询，但不能进行复杂的条件查询。 安装 https://blog.csdn.net/pwlazy/article/details/5313405 — 此文是安装 有lua 安装软件在硬盘的ttserver中 安装存储引擎tokyo cabinet https://fallabs.com/tokyocabinet/tokyocabinet-1.4.48.tar.gz tar -zxvf tokyocabinet-1.4.48.tar.gz cd tokyocabinet-1.4.48 ./configure --prefix=/usr/local/src/tokyocabinet make make install 安装 toyko tyrant wget https://fallabs.com/tokyotyrant/tokyotyrant-1.1.41.tar.gz ./configure --prefix=/usr
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