代码中的redisClientTemplate 封装的redisClient，与Jedis中的jedis类似，详见上一篇博客：http://blog.csdn.net/lsblsb/article/details/53770983
我跑的单元测试：可以在tearDown的时候，清空reids数据，做测试使用，如果redis提供服务，那么可以删除对应的测试key的value值。
键操作
/**
* 键操作
*/
public void testKey() throws Exception {
String key = "keyname";
System.out.println("判断某个键是否存在：" + redisClientTemplate.exists(key));
System.out.println("新增<'keyname','zzh'>的键值对：" + redisClientTemplate.set(key, "niepeng"));
System.out.println("判断某个键是否存在：" + redisClientTemplate.exists(key));
System.out.println("新增<'psw','pwsvalue'>的键值对：" + redisClientTemplate.set("psw", "pswvalue"));
System.out.print("系统中所有的键如下：");
System.out.println("删除键psw:" + redisClientTemplate.del("psw"));
System.out.println("判断键psw是否存在：" + redisClientTemplate.exists("psw"));
System.out.println("设置键keyname的过期时间为5s:" + redisClientTemplate.expire(key, 5));
TimeUnit.SECONDS.sleep(2);
System.out.println("查看键keyname的剩余生存时间：" + redisClientTemplate.ttl(key));
System.out.println("移除键keyname的生存时间：" + redisClientTemplate.persist(key));
System.out.println("查看键keyname的剩余生存时间：" + redisClientTemplate.ttl(key));
System.out.println("查看键keyname所存储的值的类型：" + redisClientTemplate.type(key));
}
输出结果：
判断某个键是否存在：true
新增<'keyname','zzh'>的键值对：OK
判断某个键是否存在：true
新增<'psw','pwsvalue'>的键值对：OK
系统中所有的键如下：删除键psw:1
判断键psw是否存在：false
设置键keyname的过期时间为5s:1
查看键keyname的剩余生存时间：3
移除键keyname的生存时间：1
查看键keyname的剩余生存时间：-1
查看键keyname所存储的值的类型：string
字符串操作
/**
* 字符串操作
*/
public void testString() throws Exception {
System.out.println("===========增加数据===========");
System.out.println(redisClientTemplate.set("key1", "value1"));
System.out.println(redisClientTemplate.set("key2", "value2"));
System.out.println(redisClientTemplate.set("key3", "value3"));
System.out.println("删除键key2:" + redisClientTemplate.del("key2"));
System.out.println("获取键key2:" + redisClientTemplate.get("key2"));
System.out.println("修改key1:" + redisClientTemplate.set("key1", "value1Changed"));
System.out.println("获取key1的值：" + redisClientTemplate.get("key1"));
System.out.println("key3的值：" + redisClientTemplate.get("key3"));
System.out.println("在key3后面加入值：" + redisClientTemplate.append("key3", "End"));
System.out.println("key3的值：" + redisClientTemplate.get("key3"));
System.out.println("===========新增键值对防止覆盖原先值==============");
System.out.println(redisClientTemplate.setnx("key1", "value1"));
System.out.println(redisClientTemplate.setnx("key2", "value2"));
System.out.println(redisClientTemplate.setnx("key2", "value2-new"));
System.out.println("key1的值："+redisClientTemplate.get("key1"));
System.out.println("key2的值："+redisClientTemplate.get("key2"));
System.out.println("===========新增键值对并设置有效时间=============");
System.out.println(redisClientTemplate.setex("key3", 2, "value3"));
System.out.println(redisClientTemplate.get("key3"));
TimeUnit.SECONDS.sleep(3);
System.out.println(redisClientTemplate.get("key3"));
System.out.println("===========获取原值，更新为新值==========");
// GETSET is an atomic set this value and return the old value command.
System.out.println(redisClientTemplate.getSet("key2", "key2GetSet"));
System.out.println(redisClientTemplate.get("key2"));
System.out.println("获得key2的值的字串：" + redisClientTemplate.getrange("key2", 2, 4));
}
输出结果：
===========增加数据===========
OK
OK
OK
删除键key2:1
获取键key2:null
修改key1:OK
获取key1的值：value1Changed
key3的值：value3
在key3后面加入值：9
key3的值：value3End
===========新增键值对防止覆盖原先值==============
0
1
0
key1的值：value1Changed
key2的值：value2
===========新增键值对并设置有效时间=============
OK
value3
null
===========获取原值，更新为新值==========
value2
key2GetSet
获得key2的值的字串：y2G
整数和浮点数
/**
* 整数和浮点数
*/
public void testIntFloat() {
redisClientTemplate.set("key1", "1");
redisClientTemplate.set("key2", "2");
redisClientTemplate.set("key3", "2.3");
System.out.println("key1的值：" + redisClientTemplate.get("key1"));
System.out.println("key2的值：" + redisClientTemplate.get("key2"));
System.out.println("key1的值加1：" + redisClientTemplate.incr("key1"));
System.out.println("获取key1的值：" + redisClientTemplate.get("key1"));
System.out.println("key2的值减1：" + redisClientTemplate.decr("key2"));
System.out.println("获取key2的值：" + redisClientTemplate.get("key2"));
System.out.println("将key1的值加上整数5：" + redisClientTemplate.incrBy("key1", 5));
System.out.println("获取key1的值：" + redisClientTemplate.get("key1"));
System.out.println("将key2的值减去整数5：" + redisClientTemplate.decrBy("key2", 5));
System.out.println("获取key2的值：" + redisClientTemplate.get("key2"));
}输出结果：
key1的值：1
key2的值：2
key1的值加1：2
获取key1的值：2
key2的值减1：1
获取key2的值：1
将key1的值加上整数5：7
获取key1的值：7
将key2的值减去整数5：-4
获取key2的值：-4
列表
/**
* 列表
*/
public void testList() {
System.out.println("===========添加一个list===========");
redisClientTemplate.lpush("collections", "ArrayList", "Vector", "Stack", "HashMap", "WeakHashMap", "LinkedHashMap");
redisClientTemplate.lpush("collections", "HashSet");
redisClientTemplate.lpush("collections", "TreeSet");
redisClientTemplate.lpush("collections", "TreeMap");
// -1代表倒数第一个元素，-2代表倒数第二个元素
System.out.println("collections的内容：" + redisClientTemplate.lrange("collections", 0, -1));
System.out.println("collections区间0-3的元素：" + redisClientTemplate.lrange("collections", 0, 3));
System.out.println("===============================");
// 删除列表指定的值 ，第二个参数为删除的个数（有重复时），后add进去的值先被删，类似于出栈
System.out.println("删除指定元素个数：" + redisClientTemplate.lrem("collections", 2, "HashMap"));
System.out.println("collections的内容：" + redisClientTemplate.lrange("collections", 0, -1));
System.out.println("删除下表0-3区间之外的元素：" + redisClientTemplate.ltrim("collections", 0, 3));
System.out.println("collections的内容：" + redisClientTemplate.lrange("collections", 0, -1));
System.out.println("collections列表出栈（左端）：" + redisClientTemplate.lpop("collections"));
System.out.println("collections的内容：" + redisClientTemplate.lrange("collections", 0, -1));
System.out.println("collections添加元素，从列表右端，与lpush相对应：" + redisClientTemplate.rpush("collections", "EnumMap"));
System.out.println("collections的内容：" + redisClientTemplate.lrange("collections", 0, -1));
System.out.println("collections列表出栈（右端）：" + redisClientTemplate.rpop("collections"));
System.out.println("collections的内容：" + redisClientTemplate.lrange("collections", 0, -1));
System.out.println("修改collections指定下标1的内容：" + redisClientTemplate.lset("collections", 1, "LinkedArrayList"));
System.out.println("collections的内容：" + redisClientTemplate.lrange("collections", 0, -1));
System.out.println("===============================");
System.out.println("collections的长度：" + redisClientTemplate.llen("collections"));
System.out.println("获取collections下标为2的元素：" + redisClientTemplate.lindex("collections", 2));
System.out.println("===============================");
redisClientTemplate.lpush("sortedList", "3", "6", "2", "0", "7", "4");
System.out.println("sortedList排序前：" + redisClientTemplate.lrange("sortedList", 0, -1));
System.out.println(redisClientTemplate.sort("sortedList"));
System.out.println("sortedList排序后：" + redisClientTemplate.lrange("sortedList", 0, -1));
}输出结果：
===========添加一个list===========
collections的内容：[TreeMap, TreeSet, HashSet, LinkedHashMap, WeakHashMap, HashMap, Stack, Vector, ArrayList]
collections区间0-3的元素：[TreeMap, TreeSet, HashSet, LinkedHashMap]
===============================
删除指定元素个数：1
collections的内容：[TreeMap, TreeSet, HashSet, LinkedHashMap, WeakHashMap, Stack, Vector, ArrayList]
删除下表0-3区间之外的元素：OK
collections的内容：[TreeMap, TreeSet, HashSet, LinkedHashMap]
collections列表出栈（左端）：TreeMap
collections的内容：[TreeSet, HashSet, LinkedHashMap]
collections添加元素，从列表右端，与lpush相对应：4
collections的内容：[TreeSet, HashSet, LinkedHashMap, EnumMap]
collections列表出栈（右端）：EnumMap
collections的内容：[TreeSet, HashSet, LinkedHashMap]
修改collections指定下标1的内容：OK
collections的内容：[TreeSet, LinkedArrayList, LinkedHashMap]
===============================
collections的长度：3
获取collections下标为2的元素：LinkedHashMap
===============================
sortedList排序前：[4, 7, 0, 2, 6, 3]
[0, 2, 3, 4, 6, 7]
sortedList排序后：[4, 7, 0, 2, 6, 3]
集合（Set）
/**
* 集合
*/
public void testSet() {
System.out.println("============向集合中添加元素============");
System.out.println(redisClientTemplate.sadd("eleSet", "e1", "e2", "e4", "e3", "e0", "e8", "e7", "e5"));
System.out.println(redisClientTemplate.sadd("eleSet", "e6"));
System.out.println(redisClientTemplate.sadd("eleSet", "e6"));
System.out.println("eleSet的所有元素为：" + redisClientTemplate.smembers("eleSet"));
System.out.println("删除一个元素e0：" + redisClientTemplate.srem("eleSet", "e0"));
System.out.println("eleSet的所有元素为：" + redisClientTemplate.smembers("eleSet"));
System.out.println("删除两个元素e7和e6：" + redisClientTemplate.srem("eleSet", "e7", "e6"));
System.out.println("eleSet的所有元素为：" + redisClientTemplate.smembers("eleSet"));
System.out.println("随机的移除集合中的一个元素：" + redisClientTemplate.spop("eleSet"));
System.out.println("随机的移除集合中的一个元素：" + redisClientTemplate.spop("eleSet"));
System.out.println("eleSet的所有元素为：" + redisClientTemplate.smembers("eleSet"));
System.out.println("eleSet中包含元素的个数：" + redisClientTemplate.scard("eleSet"));
System.out.println("e3是否在eleSet中：" + redisClientTemplate.sismember("eleSet", "e3"));
System.out.println("e1是否在eleSet中：" + redisClientTemplate.sismember("eleSet", "e1"));
System.out.println("e1是否在eleSet中：" + redisClientTemplate.sismember("eleSet", "e5"));
System.out.println("=================================");
Jedis jedis = redisClientTemplate.getOneJedis();
System.out.println(jedis.sadd("eleSet1", "e1", "e2", "e4", "e3", "e0", "e8", "e7", "e5"));
System.out.println(jedis.sadd("eleSet2", "e1", "e2", "e4", "e3", "e0", "e8"));
System.out.println("将eleSet1中删除e1并存入eleSet3中：" + jedis.smove("eleSet1", "eleSet3", "e1"));
System.out.println("eleSet1的所有元素为：" + jedis.smembers("eleSet1"));
System.out.println("eleSet3的所有元素为：" + jedis.smembers("eleSet3"));
System.out.println("将eleSet1中删除e2并存入eleSet3中：" + jedis.smove("eleSet1", "eleSet3", "e2"));
System.out.println("eleSet1中的元素：" + jedis.smembers("eleSet1"));
System.out.println("eleSet3中的元素：" + jedis.smembers("eleSet3"));
System.out.println("============集合运算=================");
System.out.println("eleSet1中的元素：" + jedis.smembers("eleSet1"));
System.out.println("eleSet2中的元素：" + jedis.smembers("eleSet2"));
System.out.println("eleSet1和eleSet2的交集:" + jedis.sinter("eleSet1", "eleSet2"));
System.out.println("eleSet1和eleSet2的并集:" + jedis.sunion("eleSet1", "eleSet2"));
// eleSet1中有，eleSet2中没有
System.out.println("eleSet1和eleSet2的差集:" + jedis.sdiff("eleSet1", "eleSet2"));
jedis.close();
}
输出结果：
============向集合中添加元素============
8
1
0
eleSet的所有元素为：[e5, e1, e3, e0, e7, e2, e8, e4, e6]
删除一个元素e0：1
eleSet的所有元素为：[e7, e2, e8, e4, e3, e1, e5, e6]
删除两个元素e7和e6：2
eleSet的所有元素为：[e4, e3, e1, e5, e2, e8]
随机的移除集合中的一个元素：e8
随机的移除集合中的一个元素：e2
eleSet的所有元素为：[e4, e3, e1, e5]
eleSet中包含元素的个数：4
e3是否在eleSet中：true
e1是否在eleSet中：true
e1是否在eleSet中：true
=================================
8
6
将eleSet1中删除e1并存入eleSet3中：1
eleSet1的所有元素为：[e4, e5, e3, e0, e7, e2, e8]
eleSet3的所有元素为：[e1]
将eleSet1中删除e2并存入eleSet3中：1
eleSet1中的元素：[e4, e5, e3, e0, e7, e8]
eleSet3中的元素：[e2, e1]
============集合运算=================
eleSet1中的元素：[e4, e5, e3, e0, e7, e8]
eleSet2中的元素：[e3, e2, e1, e4, e0, e8]
eleSet1和eleSet2的交集:[e4, e3, e0, e8]
eleSet1和eleSet2的并集:[e4, e1, e5, e3, e0, e2, e8, e7]
eleSet1和eleSet2的差集:[e5, e7]
散列
/**
* 散列
*/
public void testHash() {
Map<String, String> map = new HashMap<String, String>();
map.put("key1", "value1");
map.put("key2", "value2");
map.put("key3", "value3");
map.put("key4", "value4");
redisClientTemplate.hmset("hash", map);
redisClientTemplate.hset("hash", "key5", "value5");
// return Map<String,String>
System.out.println("散列hash的所有键值对为：" + redisClientTemplate.hgetAll("hash"));
// return Set<String>
System.out.println("散列hash的所有键为：" + redisClientTemplate.hkeys("hash"));
// return List<String>
System.out.println("散列hash的所有值为：" + redisClientTemplate.hvals("hash"));
System.out.println("将key6保存的值加上一个整数，如果key6不存在则添加key6：" + redisClientTemplate.hincrBy("hash", "key6", 6));
System.out.println("散列hash的所有键值对为：" + redisClientTemplate.hgetAll("hash"));
System.out.println("将key6保存的值加上一个整数，如果key6不存在则添加key6：" + redisClientTemplate.hincrBy("hash", "key6", 3));
System.out.println("散列hash的所有键值对为：" + redisClientTemplate.hgetAll("hash"));
System.out.println("删除一个或者多个键值对：" + redisClientTemplate.hdel("hash", "key2"));
System.out.println("散列hash的所有键值对为：" + redisClientTemplate.hgetAll("hash"));
System.out.println("散列hash中键值对的个数：" + redisClientTemplate.hlen("hash"));
System.out.println("判断hash中是否存在key2：" + redisClientTemplate.hexists("hash", "key2"));
System.out.println("判断hash中是否存在key3：" + redisClientTemplate.hexists("hash", "key3"));
System.out.println("获取hash中的值：" + redisClientTemplate.hmget("hash", "key3"));
System.out.println("获取hash中的值：" + redisClientTemplate.hmget("hash", "key3", "key4"));
}输出结果：
散列hash的所有键值对为：{key1=value1, key2=value2, key5=value5, key3=value3, key4=value4}
散列hash的所有键为：[key1, key2, key5, key3, key4]
散列hash的所有值为：[value4, value2, value3, value1, value5]
将key6保存的值加上一个整数，如果key6不存在则添加key6：6
散列hash的所有键值对为：{key1=value1, key2=value2, key5=value5, key6=6, key3=value3, key4=value4}
将key6保存的值加上一个整数，如果key6不存在则添加key6：9
散列hash的所有键值对为：{key1=value1, key2=value2, key5=value5, key6=9, key3=value3, key4=value4}
删除一个或者多个键值对：1
散列hash的所有键值对为：{key1=value1, key5=value5, key6=9, key3=value3, key4=value4}
散列hash中键值对的个数：5
判断hash中是否存在key2：false
判断hash中是否存在key3：true
获取hash中的值：[value3]
获取hash中的值：[value3, value4]
有序集合
/**
* 有序集合
*/
public void testSortSet() {
Map<String, Double> map = new HashMap<String, Double>();
map.put("key2", 1.2);
map.put("key3", 4.0);
map.put("key4", 5.0);
map.put("key5", 0.2);
System.out.println(redisClientTemplate.zadd("zset", 3, "key1"));
System.out.println(redisClientTemplate.zadd("zset", map));
System.out.println("zset中的所有元素：" + redisClientTemplate.zrange("zset", 0, -1));
System.out.println("zset中的所有元素：" + redisClientTemplate.zrangeWithScores("zset", 0, -1));
// score范围是1~100的筛选出来，并展示key
System.out.println("zset中的所有元素：" + redisClientTemplate.zrangeByScore("zset", 1, 100));
// score范围是1~100的筛选出来，并展示key2和value
System.out.println("zset中的所有元素：" + redisClientTemplate.zrangeByScoreWithScores("zset", 1, 100));
System.out.println("zset中key2的分值：" + redisClientTemplate.zscore("zset", "key2"));
// 排名是从0开始的
System.out.println("zset中key2的排名：" + redisClientTemplate.zrank("zset", "key2"));
System.out.println("删除zset中的元素key3：" + redisClientTemplate.zrem("zset", "key3"));
System.out.println("zset中的所有元素：" + redisClientTemplate.zrange("zset", 0, -1));
System.out.println("zset中元素的个数：" + redisClientTemplate.zcard("zset"));
System.out.println("zset中分值在1-4之间的元素的个数：" + redisClientTemplate.zcount("zset", 1, 4));
System.out.println("key2的分值加上5：" + redisClientTemplate.zincrby("zset", 5, "key2"));
System.out.println("key3的分值加上4：" + redisClientTemplate.zincrby("zset", 4, "key3"));
System.out.println("zset中的所有元素：" + redisClientTemplate.zrange("zset", 0, -1));
}输出结果：
1
4
zset中的所有元素：[key5, key2, key1, key3, key4]
zset中的所有元素：[[[107, 101, 121, 53],0.2], [[107, 101, 121, 50],1.2], [[107, 101, 121, 49],3.0], [[107, 101, 121, 51],4.0], [[107, 101, 121, 52],5.0]]
zset中的所有元素：[key2, key1, key3, key4]
zset中的所有元素：[[[107, 101, 121, 50],1.2], [[107, 101, 121, 49],3.0], [[107, 101, 121, 51],4.0], [[107, 101, 121, 52],5.0]]
zset中key2的分值：1.2
zset中key2的排名：1
删除zset中的元素key3：1
zset中的所有元素：[key5, key2, key1, key4]
zset中元素的个数：4
zset中分值在1-4之间的元素的个数：2
key2的分值加上5：6.2
key3的分值加上4：4.0
zset中的所有元素：[key5, key1, key3, key4, key2]
排序sort
/**
* 排序sort
*/
public void testSort() {
redisClientTemplate.lpush("collections", "ArrayList", "Vector", "Stack", "HashMap", "WeakHashMap", "LinkedHashMap");
System.out.println("collections的内容：" + redisClientTemplate.lrange("collections", 0, -1));
SortingParams sortingParameters = new SortingParams();
System.out.println(redisClientTemplate.sort("collections", sortingParameters.alpha()));
System.out.println("===============================");
redisClientTemplate.lpush("sortedList", "3", "6", "2", "0", "7", "4");
System.out.println("sortedList排序前：" + redisClientTemplate.lrange("sortedList", 0, -1));
System.out.println("升序：" + redisClientTemplate.sort("sortedList", sortingParameters.asc()));
System.out.println("降序：" + redisClientTemplate.sort("sortedList", sortingParameters.desc()));
System.out.println("===============================");
redisClientTemplate.lpush("userlist", "33");
redisClientTemplate.lpush("userlist", "22");
redisClientTemplate.lpush("userlist", "55");
redisClientTemplate.lpush("userlist", "11");
redisClientTemplate.hset("user:66", "name", "66");
redisClientTemplate.hset("user:55", "name", "55");
redisClientTemplate.hset("user:33", "name", "33");
redisClientTemplate.hset("user:22", "name", "79");
redisClientTemplate.hset("user:11", "name", "24");
redisClientTemplate.hset("user:11", "add", "beijing");
redisClientTemplate.hset("user:22", "add", "shanghai");
redisClientTemplate.hset("user:33", "add", "guangzhou");
redisClientTemplate.hset("user:55", "add", "chongqing");
redisClientTemplate.hset("user:66", "add", "hangzhou");
sortingParameters = new SortingParams();
sortingParameters.get("user:*->name");
sortingParameters.get("user:*->add");
/*
* 根据userlist的值，排序得到11，22，33，55；
* 分别填充到sortingParameters.get("user:*->name")星号中，得到对应的值输出
*/
System.out.println(redisClientTemplate.sort("userlist", sortingParameters.asc()));
}输出j结果：
collections的内容：[LinkedHashMap, WeakHashMap, HashMap, Stack, Vector, ArrayList]
[ArrayList, HashMap, LinkedHashMap, Stack, Vector, WeakHashMap]
===============================
sortedList排序前：[4, 7, 0, 2, 6, 3]
升序：[0, 2, 3, 4, 6, 7]
降序：[7, 6, 4, 3, 2, 0]
===============================
[24, beijing, 79, shanghai, 33, guangzhou, 55, chongqing]
最后删除如上例子中的对redis的插入的数据，我是单元测试，放到tearDown中：
redisClientTemplate.del("key1");
redisClientTemplate.del("key2");
redisClientTemplate.del("key3");
redisClientTemplate.del("collections");
redisClientTemplate.del("sortedList");
redisClientTemplate.del("eleSet");
redisClientTemplate.del("eleSet1");
redisClientTemplate.del("eleSet2");
redisClientTemplate.del("eleSet3");
redisClientTemplate.del("hash");
redisClientTemplate.del("zset");
redisClientTemplate.del("collections");
redisClientTemplate.del("userlist");
redisClientTemplate.hdel("user:11", "name", "add");
redisClientTemplate.hdel("user:22", "name", "add");
redisClientTemplate.hdel("user:33", "name", "add");
redisClientTemplate.hdel("user:55", "name", "add");
redisClientTemplate.hdel("user:66", "name", "add");