redmon安装
http://www.cr173.com/html/14775_1.html
failover
参考一点http://dmouse.iteye.com/blog/813026
redis支持master-slave模式,可以设置一个master,多个slave;采用读写分离的策略,master负责写数据,多个slave负责读数据,slave的数据是复制master上的,所以多个slave之间的数据是可以保持一致的,即便down了之后,也会通过加载dump数据的方式,重新加载会原来的缓存数据。
Fail-Tolerance
当前项目需要保证一个client连接到slave服务上读取数据,如果slave down 了之后,可以在不影响应用的情况下,自动切换到另外一个可用的slave
因为jredis不支持设置多个slave服务器,所以写了一个小工具类,目的是为了探测如果的当前正在使用的slave没有heartbeat之后,立马可以切换到一个可用的slave;这样可以保证one of slave down掉之后,不用missing-load也可及时切换到另外一个slave上读数据。
public class RedisFailToleranceUtil { private static JRedisService jredisService = null; private static ConnectionSpec defaultConnectionSpec = null; private static int current = 1; private static HashMap<String,ConnectionSpec> serverPools = new HashMap<String,ConnectionSpec>(); static{ ConnectionSpec connectionSpec1 = DefaultConnectionSpec.newSpec("192.168.1.238", 6380, 0,null); ConnectionSpec connectionSpec2 = DefaultConnectionSpec.newSpec("192.168.1.238", 6381, 0,null); serverPools.put("1", connectionSpec1); serverPools.put("2", connectionSpec2); } private String next(){ if(current>serverPools.size()){ current=1; } int nextIndex = current; current++; return nextIndex+""; } private ConnectionSpec getConnectionSpec(){ if(defaultConnectionSpec != null){ return defaultConnectionSpec; } jredisService = null; /** * we are working multiple servers * try different servers,util we fetch the first available server pool */ HashMap<String,ConnectionSpec> tryServers = new HashMap<String,ConnectionSpec>(serverPools); if(serverPools.size() == 1){ return (ConnectionSpec)serverPools.get("1"); } while(!tryServers.isEmpty()){ ConnectionSpec connectionSpec = tryServers.get(this.next()); if(isConnect(connectionSpec)){ return connectionSpec; } tryServers.remove(connectionSpec); if(tryServers.isEmpty()){ break; } } return null; } /** * try whether the server is available * @param connectionSpec * @return true or false */ private boolean isConnect(ConnectionSpec connectionSpec){ if(connectionSpec == null){ return false; } JRedis jredis = new JRedisClient(connectionSpec.getAddress().getHostAddress(), connectionSpec.getPort()); try{ jredis.ping(); jredis.quit(); }catch(Exception e){ return false; } return true; } public void initialize(){ defaultConnectionSpec = this.getConnectionSpec(); if(jredisService == null){ synchronized (RedisFailToleranceUtil.class) { jredisService = new JRedisService(defaultConnectionSpec,100); } } } public String getS(String key){ this.initialize(); String value = null; try { value = DefaultCodec.toStr(jredisService.get(key)); } catch (Exception e) { defaultConnectionSpec = null; this.initialize(); } return value; } public static void main(String args[]){ RedisFailToleranceUtil redis = new RedisFailToleranceUtil(); redis.getS("name"); try { Thread.sleep(10000); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } redis.getS("name"); try { Thread.sleep(30000); } catch (InterruptedException e) { // TODO Auto-generated catch block e.printStackTrace(); } redis.getS("name"); } }
改成jedis的
public class JedisPoolTest extends Assert { private static HostAndPort hnp = HostAndPortUtil.getRedisServers().get(0); private static HostAndPort hnp2 = HostAndPortUtil.getRedisServers().get(1); private static HashMap<String,JedisPool> serverPools = new HashMap<String,JedisPool>(); static{ JedisPool pool1 = new JedisPool(new JedisPoolConfig(), hnp.host, hnp.port, 2000); JedisPool pool2 = new JedisPool(new JedisPoolConfig(), hnp2.host, hnp2.port, 2000); serverPools.put("1", pool1); serverPools.put("2", pool2); } private static int current = 1; static Jedis jredisService=null; private static JedisPool defaultConnectionSpec = null; public void initialize(){ defaultConnectionSpec = this.getConnectionSpec(); if(jredisService == null){ synchronized (RedisFailToleranceUtil.class) { jredisService = defaultConnectionSpec.getResource(); } } } public String getS(String key){ this.initialize(); String value = null; try { value = jredisService.get(key); } catch (Exception e) { defaultConnectionSpec = null; this.initialize(); } return value; } public static void main(String[] args) { JedisPoolTest redis = new JedisPoolTest(); System.out.println("1 "+redis.getS("foo")); try { Thread.sleep(10000); } catch (InterruptedException e) { e.printStackTrace(); } System.out.println("2 "+redis.getS("foo")); try { Thread.sleep(10000); } catch (InterruptedException e) { e.printStackTrace(); } System.out.println("3 "+redis.getS("foo")); try { Thread.sleep(10000); } catch (InterruptedException e) { e.printStackTrace(); } System.out.println("4 "+redis.getS("foo")); try { Thread.sleep(10000); } catch (InterruptedException e) { e.printStackTrace(); } System.out.println("5 "+redis.getS("foo")); } private JedisPool getConnectionSpec(){ if(defaultConnectionSpec != null){ return defaultConnectionSpec; } HashMap<String,JedisPool> tryServers = new HashMap<String,JedisPool>(serverPools); System.out.println("tryServers:"+tryServers.size()); if(serverPools.size() == 1){ System.out.println("22222"); //jredisService=connectionSpec.getResource(); return (JedisPool)serverPools.get("2"); } while(!tryServers.isEmpty()){ JedisPool connectionSpec = tryServers.get("1"); if(isConnect(connectionSpec)){ System.out.println("1111"); jredisService=connectionSpec.getResource(); return connectionSpec; }else{ connectionSpec = tryServers.get("2"); jredisService=connectionSpec.getResource(); System.out.println("1111---2222"); serverPools.remove("1"); return connectionSpec; } } return null; } private boolean isConnect(JedisPool pool){ if(pool == null){ return false; } try{ Jedis jedis = pool.getResource(); jedis.ping(); pool.returnResource(jedis); }catch(Exception e){ return false; } return true; } }
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安装
jredis
https://github.com/alphazero/jredis/downloads
http://liuxinglanyue.iteye.com/blog/829428
参数说明
http://aronlulu.iteye.com/blog/1236773
appendonly 默认情况下,redis 会在后台异步的把数据库镜像备份到磁盘,但是该备份是非常耗时 的,而且备份也不能很频繁,如果发生诸如拉闸限电、拔插头等状况,那么将造成比较 大范围的数据丢失。所以 redis提供了另外一种更加高效的数据库备份及灾难恢复方式。 开启 append only 模式之后,redis 会把所接收到的每一次写操作请求都追加到 appendonly.aof 文件中,当redis重新启动时,会从该文件恢复出之前的状态。但是这样 会造成 appendonly.aof 文件过大,所以 redis 还支持了 BGREWRITEAOF 指令,对 appendonly.aof 进行重新整理。所以我认为推荐生产环境下的做法为关闭镜像,开启 appendonly.aof,同时可以选择在访问较少的时间每天对 appendonly.aof 进行重写一次
注意dump.rdb文件
默认在redis-server的同一个目录下
dir指定
官方文档
http://try.redis-db.com/
导出json
https://github.com/delano/redis-dump
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rais的安装
http://archive.cnblogs.com/a/1937602/
http://www.cnblogs.com/watir/archive/2011/01/17/1937602.html
为了装https://github.com/steelThread/redmon
redmon
sqlite3报错
http://blog.toolib.net/cnmahj/2011/09/rails3-1%E4%BD%BF%E7%94%A8sqlite%E6%97%B6%E2%80%9Csqlite3_int64-undeclared%E2%80%9D%E9%94%99%E8%AF%AF%E7%9A%84%E8%A7%A3%E5%86%B3%E6%96%B9%E6%B3%95/
i容量预计和估算
http://blog.nosqlfan.com/html/3430.html
u不过发现脚本执行几次,差值不一样
数据增量存储
http://www.hoterran.info/redis_persistence
源码分析
http://blog.nosqlfan.com/html/2949.html?ref=rediszt
资料总会专题
http://blog.nosqlfan.com/html/3537.html
Redis采用不同内存分配器碎片率对比
http://blog.nosqlfan.com/html/3490.html
目录
http://blog.nosqlfan.com/tags/redis
Redis复制与可扩展集群搭建
http://www.infoq.com/cn/articles/tq-redis-copy-build-scalable-cluster
测试,需要看valgrind
http://blog.nosqlfan.com/html/2383.html
容量
http://timyang.net/data/redis-capacity/
微波两个人
http://weibo.com/bachmozart?key_word=redis
http://weibo.com/tangfl?key_word=redis
lua
http://blog.nosqlfan.com/html/1658.html
ruby的监控
用最新版zlib问题
https://rvm.beginrescueend.com/rvm/install/
http://belmount.blog.51cto.com/1897431/766728
https://blog.johncheng.com/?p=1389
rvm
http://floger.iteye.com/blog/935374
不用openssl
最后那个运行下就行
rvm requirements
rvm install 1.9.3
rvm list
rvm alias create default ruby-1.9.3-p125
gem install bundler
rvm rubygems latest
rvm pkg install openssl
gem install rails
rvm gemset list
看rails的版本,然后
rvm gemset create rails3.2.1
rvm pkg install zlib ;
rvm pkg install readline;
rvm pkg install openssl;
rvm pkg install iconv;
rvm remove 1.9.3;
rvm install 1.9.3 --with-zlib-dir=$rvm_path/usr --with-openssl-dir=$rvm_path/usr --with-readline-dir=$rvm_path/usr --with-iconv-dir=$rvm_path/usr
rvm gemset create rails3.2.1
zlib
https://rvm.beginrescueend.com/packages/zlib/
Ruby 1.9.3-p0 makes psych—the replacement for 1.8.7’s YAML library,
http://www.cnblogs.com/qq78292959/archive/2011/12/15/2288567.html
rvm info
rvm requirements
rvm install 1.8.7
rvm list
rvm alias create default ruby-1.8.7-p358
ruby -v
gem install rails
rvm gemset list
rvm gemset list
rvm gemset create rails3.2.1
gem install jquery-rails
rails new demo1
集群
http://wenku.baidu.com/view/d9ac5ab9960590c69ec37683.html
cassandra
http://baike.baidu.com/view/1350234.htm
2.6 Redis集群功能说明
http://blog.nosqlfan.com/html/3302.html
ppt
http://blog.nosqlfan.com/html/1007.html
hash
http://emreyilmaz.me/implementing-consistent-hashing-into-your-redis