MySQL redis learning and application-Mysql Tutorial-php.cn

Relational databases such as mysql have limited read and write performance when data is stored in high concurrency situations. Nosql (non-relational database) emerged as the times require to make up for the problem. overcome the shortcomings of relational databases.

【Introduction】

## redis is a key-value storage form Nosql database is widely used. It supports master-slave replication, transaction processing, optimistic locking, complex transaction control, persistence, publishing and subscribing messages and other features.

##[Introduction to data types]

The data type of redis is simpler than that of relational database, and is divided into 5 major types: string, hashs, lists, sets, and sorted set.

1. The string type is a binary, safe data type that can store jps images or serialized pairs. Commonly used redis database commands are:

  a. Set name lijie ----设置name=lijie b. Setnx 设置如果name存在，则返回0，设置不成功（nx--not exit） c. Setex 指定有效期：set haircolor 10 red --10秒失效 d. Setrange name 6 gmail.com ----从第6个开始设置 e. Mset key1 lijie1 key2 lijei2 key3 lijie3 --设置多个键值对 f. get --获得字符 g. Getrange eamil 0 5 从下标为0到5的值 h. Mget--批量返回 i. Incr key6 --自增 j. Incrby key5 6--以6来进行自增 k. Decr/decrby l. Append key1 .net 在key1后面增加.net m. Strlen--返回长度

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2. The hash type takes up less memory, commonly used commands:

a. Hset--hset user:001 name lijie b. Hsetnx--hsetnx user:002 name lamp c. Hmset---hmset user:003 name lijie age 20 sex 1 d. Hincrby--自增 e. Hexists--判断是否存在 hexits user:002 name f. Hlen----返回所有键数量 g. Hdel--hdel user:003 age h. Hkeys --hkeys user:001 i. Hvals---hvals user:003 j. Hgetall---获取所有fileds和value

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3. The lists data type is divided into two data structures: linked list structure and queue. Common commands:

a. Lpush--从头部压入元素：lpush list1 "hello"--栈 b. Lrang myliist 0 -1 从头部一直去不到尾部 c. Rpush---rpush list2 "hello"---队列 d. Linsert---linsert list2 before hello word e. Lset--指定下标赋值：lset list2 1 my f. Lrem--从list 中删除n个和value相同的值 g. Ipop从头弹出元素 h. Rpop 从尾部 i. Rpoplpush j. Lindex---lindex list2 2 k. Llen---返回长度

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4. The sets type supports union, intersection, cross set and other operations. Use the command:

a. Sadd--sadd myset1 one b. Smembers--查看 c. Srem --srem myset2 "one" d. Spop--随机弹出 e. Sdiff--两个集合的差集 f. Sdiffstor---叉集存储到指定sets里面：sdiffstore myset4 myset2 myset3 g. Siner--返回交集/sinnerstore h. Sunion--并集/ i. Smove---将第一个set中元素剪切到第二个set中 smove myset1 myset8 three j. Scard --查看个数 k. Sismemeber---测试元素是不是set中元素 l. Srandmember--随机返回元素不会删除

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5. Sort set is an ordered set:

a. Zadd---zadd myzset “one” b. 取值：zrange myzet 0 -1 withscores（显示顺序） c. Zrem--zrem myzset two d. Zincrby--zincrby sset1 2 one--对顺序号进行增加 e. Zrank--返回 索引：zrank myset3 two f. Zrevrank g. Zrerange--降序排序 h. Zrangebyscore--按照范围返回：zrangebyscore sset2 2 4 with scores i. Zcount--返回数量 zcount seet2 2 4 j. Zcard --返回 k. Zremrangebyrank--按照索引删除 l. Zremrangebyscore--按照顺序删除

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【java application】

Redis in Java needs to introduce jar package: Import Redis.clients.jedis.jedis;# Use directly in the code: Jedis client=new Jedis("ip address",6379);, which can realize redis connection. When using the connection pool, create a connection pool class:

package com.tgb.itoo.exam.students.controller; import java.util.ResourceBundle; import org.springframework.util.Assert; import redis.clients.jedis.Jedis; import redis.clients.jedis.JedisPool; import redis.clients.jedis.JedisPoolConfig; public class JedisPoolTest { private static JedisPool jedisPool; private static JedisPoolConfig initPoolConfig(){ JedisPoolConfig jedisPoolConfig = new JedisPoolConfig(); // 控制一个pool最多有多少个可用的的jedis实例 // jedisPoolConfig.setMaxActive(1000); // 最大能够保持空闲状态的对象数 jedisPoolConfig.setMaxIdle(300); // 超时时间 jedisPoolConfig.setMaxWaitMillis(1000); // 在borrow一个jedis实例时，是否提前进行alidate操作；如果为true，则得到的jedis实例均是可用的； jedisPoolConfig.setTestOnBorrow(true); // 在还会给pool时，是否提前进行validate操作 jedisPoolConfig.setTestOnReturn(true); return jedisPoolConfig; } /** * 初始化jedis连接池 * 
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 */ public static void before() { JedisPoolConfig jedisPoolConfig = initPoolConfig(); // 属性文件读取参数信息 ResourceBundle bundle = ResourceBundle.getBundle("redis_config"); String host = bundle.getString("redis.host"); int port = Integer.valueOf(bundle.getString("redis.port")); int timeout = Integer.valueOf(bundle.getString("redis.timeout")); String password = bundle.getString("redis.password"); // 构造连接池 jedisPool = new JedisPool(jedisPoolConfig, host, port, timeout, password); } public void testSet() { Jedis jedis = null; // 从池中获取一个jedis实例 try { jedis = jedisPool.getResource(); jedis.set("blog_pool", "java2000_wl"); } catch (Exception e) { // 销毁对象 jedisPool.returnBrokenResource(jedis); // Assert.fail(e.getMessage()); } finally { // 还会到连接池 jedisPool.returnResource(jedis); } } }

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Pipeline Technology Application

##redis When performing continuous write operations , in order to reduce the number of times the database is opened and closed, creating a pipeline can improve performance. Actual use:

Pipeline pipeline=client.pipelined(); for (TemplateDetail templateDetail : templateDetails) { List questionMains=templateDetail.getQuestionMainList(); for (QuestionMain questionMain : questionMains) { if(null!=questionMain){ String redisKey=studenInfo.getStudentId()+"_"+studenInfo.getExamination_id()+"_"+questionMain.getId()+"_exam"; try { pipeline.lpush(redisKey,JsonUtils.objectToJson(questionMain)); pipeline.expire(redisKey, 7200); } catch (IOException e) { e.printStackTrace(); } } } } pipeline.sync();//管道执行

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