1.简单介绍
redis 是基于C语言开发。
redis是一个key-value存储系统。和Memcached类似，它支持存储的value类型相对更多，包括string(字符串)、list(链表)、set(集合)、zset(sorted set --有序集合)和hash（哈希类型）。
redis 是一个 缓存数据库(片面的理解) 既可以做缓存，也可以将数据持久化到磁盘中！
2.pom.xml 引入相关jar （曾经因jar 版本问题出现报错，请注意）
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<
dependency
>
<
groupId
>org.apache.commons</
groupId
>
<
artifactId
>commons-pool2</
artifactId
>
<
version
>2.2</
version
>
</
dependency
>
<
dependency
>
<
groupId
>org.springframework.data</
groupId
>
<
artifactId
>spring-data-redis</
artifactId
>
<
version
>1.7.5.RELEASE</
version
>
</
dependency
>
<
dependency
>
<
groupId
>redis.clients</
groupId
>
<
artifactId
>jedis</
artifactId
>
<
version
>2.9.0</
version
>
</
dependency
>
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3.spring-redis.xml 配置文件，配置关键bean redisTemplate
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<?
xml
version
=
"1.0"
encoding
=
"UTF-8"
?>
<
beans
xmlns
=
"http://www.springframework.org/schema/beans"
xmlns:context
=
"http://www.springframework.org/schema/context"
xmlns:p
=
"http://www.springframework.org/schema/p"
xmlns:mvc
=
"http://www.springframework.org/schema/mvc"
xmlns:xsi
=
"http://www.w3.org/2001/XMLSchema-instance"
xmlns:tx
=
"http://www.springframework.org/schema/tx"
xmlns:util
=
"http://www.springframework.org/schema/util"
xmlns:aop
=
"http://www.springframework.org/schema/aop"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-3.0.xsd
http://www.springframework.org/schema/mvc
http://www.springframework.org/schema/mvc/spring-mvc-3.0.xsd
http://www.springframework.org/schema/tx
http://www.springframework.org/schema/tx/spring-tx-3.0.xsd
http://www.springframework.org/schema/aop
http://www.springframework.org/schema/aop/spring-aop-3.0.xsd
http://www.springframework.org/schema/util
http://www.springframework.org/schema/util/spring-util-3.0.xsd">
<!-- <context:property-placeholder location="classpath:redis-config.properties"/>
-->
<
bean
id
=
"jedisPoolConfig"
class
=
"redis.clients.jedis.JedisPoolConfig"
>
<
property
name
=
"maxIdle"
value
=
"${redis.maxIdle}"
/>
<
property
name
=
"maxTotal"
value
=
"${redis.maxTotal}"
/>
<
property
name
=
"blockWhenExhausted"
value
=
"true"
/>
<
property
name
=
"maxWaitMillis"
value
=
"${redis.maxWaitMillis}"
/>
<
property
name
=
"testOnBorrow"
value
=
"${redis.testOnBorrow}"
/>
</
bean
>
<
bean
id
=
"jedisConnectionFactory"
class
=
"org.springframework.data.redis.connection.jedis.JedisConnectionFactory"
>
<
property
name
=
"hostName"
value
=
"${redis.hostname}"
/>
<
property
name
=
"port"
value
=
"${redis.port}"
/>
<
property
name
=
"poolConfig"
ref
=
"jedisPoolConfig"
/>
<
property
name
=
"usePool"
value
=
"true"
/>
</
bean
>
<
bean
id
=
"redisTemplate"
class
=
"org.springframework.data.redis.core.RedisTemplate"
>
<
property
name
=
"connectionFactory"
ref
=
"jedisConnectionFactory"
/>
<
property
name
=
"keySerializer"
>
<
bean
class
=
"org.springframework.data.redis.serializer.StringRedisSerializer"
/>
</
property
>
<
property
name
=
"valueSerializer"
>
<
bean
class
=
"org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"
/>
</
property
>
<
property
name
=
"hashKeySerializer"
>
<
bean
class
=
"org.springframework.data.redis.serializer.StringRedisSerializer"
/>
</
property
>
<
property
name
=
"hashValueSerializer"
>
<
bean
class
=
"org.springframework.data.redis.serializer.JdkSerializationRedisSerializer"
/>
</
property
>
</
bean
>
</
beans
>
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上文中使用到的配置文件 redis-config.properteis
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redis.maxIdle=1
redis.maxTotal=5
redis.maxWaitMillis=30000
redis.testOnBorrow=true
redis.hostname=127.0.0.1
redis.port=6379
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4.redis 有4个关键的接口如下
private ValueOperations<K, V> valueOps;
private ListOperations<K, V> listOps;
private SetOperations<K, V> setOps;
private ZSetOperations<K, V> zSetOps;
分别对应redis的数据类型：string（字符串），hash（哈希），list（列表），set（集合）及zset(sorted set：有序集合)
具体使用如下，上代码：
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//添加字符串
ValueOperations<String, String> value =
this
.redisTemplate.opsForValue();
value.set(
"hello"
,
"讨厌"
);
System.out.println(value.get(
"hello"
));
//添加 一个 hash集合
HashOperations<String, Object, Object> hash =redisTemplate.opsForHash();
hash.put(
"沃尔玛"
,
"水果"
,
"苹果"
);
hash.put(
"沃尔玛"
,
"饮料"
,
"红牛"
);
System.out.println(hash.entries(
"沃尔玛"
));
//添加一个list 集合
ListOperations<String, Object> list = redisTemplate.opsForList();
list.rightPush(
"课程"
,
"chinese"
);
list.rightPush(
"课程"
,
"englise"
);
System.out.println(list.range(
"lpList"
,
0
,
1
));
//添加 一个 set 集合
SetOperations<String, Object> set = redisTemplate.opsForSet();
set.add(
"lpSet"
,
"lp"
);
set.add(
"lpSet"
,
"26"
);
set.add(
"lpSet"
,
"178cm"
);
//输出 set 集合
System.out.println(set.members(
"lpSet"
));
//添加有序的 set 集合
ZSetOperations<String, Object> zset = redisTemplate.opsForZSet();
zset.add(
"lpZset"
,
"lp"
,
0
);
zset.add(
"lpZset"
,
"26"
,
2
);
zset.add(
"lpZset"
,
"178cm"
,
1
);
//输出有序 set 集合
System.out.println(zset.rangeByScore(
"lpZset"
,
0
,
2
));
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本文转自布拉君君 51CTO博客，原文链接：http://blog.51cto.com/5148737/1976501，如需转载请自行联系原作者
