https://blog.youkuaiyun.com/weixin_37490221/article/details/78135202
引用:Redis的Set是string类型的无序集合。集合成员是唯一的,这就意味着集合中不能出现重复的数据,Redis 中 集合是通过哈希表实现的,所以添加,删除,查找的复杂度都是O(1)。此处我们使用redisTemplate,配置如下(详情请见链接:RedisTemplate访问Redis数据结构(前言))
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
<property name="connectionFactory" ref="jedisConnFactory"/>
<property name="keySerializer">
<bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
</property>
<property name="hashKeySerializer">
<bean class="org.springframework.data.redis.serializer.StringRedisSerializer"/>
</property>
<property name="valueSerializer">
<bean class="org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer"/>
</property>
<property name="hashValueSerializer">
<bean class="org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer"/>
</property>
</bean>
SetOperations提供了对无序集合的一系列操作。首先初始化spring工厂获得redisTemplate和opsForSet
private RedisTemplate<String,Object> redisTemplate;
private SetOperations<String, Object> opsForSet;
@SuppressWarnings("unchecked")
@Before
public void before(){
@SuppressWarnings("resource")
ApplicationContext context = new ClassPathXmlApplicationContext("/applicationContext.xml");
redisTemplate = (RedisTemplate<String,Object>)context.getBean("redisTemplate");
opsForSet = redisTemplate.opsForSet();
}
Long add(K key, V… values);
Long size(K key);
Set< V > members(K key);
@Test
public void testAddSizeAndMembers(){
redisTemplate.delete("zhou1");
//无序集合中添加元素,返回添加个数 也可以直接在add里面添加多个值
System.out.println(opsForSet.add("zhou1", "a"));//1
//无序集合的大小长度
System.out.println(opsForSet.size("zhou1"));//1
System.out.println(opsForSet.add("zhou1", "a","b","c","d","e"));//4
System.out.println(opsForSet.size("zhou1"));//5
System.out.println(opsForSet.add("zhou1", new Object[]{"f","g"}));//4
System.out.println(opsForSet.size("zhou1"));//7
//返回集合中的所有成员
System.out.println(opsForSet.members("zhou1"));//[f, g, d, a, e, b, c]
}
Long remove(K key, Object… values);
@Test
public void testRemove(){
redisTemplate.delete("zhou2");
User user = new User();
user.setId(1l);
opsForSet.add("zhou2", "a","b","c","d","e",user);
User user1 = new User();
//移除集合中一个或多个成员
System.out.println(opsForSet.remove("zhou2", "a","d","f",user1));//2
System.out.println(opsForSet.members("zhou2"));//[e, b, c]
}
V pop(K key);
@Test
public void testPop(){
redisTemplate.delete("zhou3");
opsForSet.add("zhou3", "a","b","c","d","e");
//移除并返回集合中的一个随机元素
System.out.println(opsForSet.pop("zhou3"));//e
System.out.println(opsForSet.members("zhou3"));//[d, a, b, c]
}
Boolean move(K key, V value, K destKey);
@Test
public void testMove(){
redisTemplate.delete("zhou4");
redisTemplate.delete("zhou5");
opsForSet.add("zhou4", "a","b");
//将 member 元素从 source 集合移动到 destination 集合
System.out.println(opsForSet.move("zhou4", "a", "zhou4"));//true
System.out.println(opsForSet.move("zhou4", "c", "zhou5"));//false
System.out.println(opsForSet.move("zhou4", "a", "zhou5"));//true
opsForSet.add("zhou5", "b");
System.out.println(opsForSet.move("zhou4", "b", "zhou5"));//true
}
Boolean isMember(K key, Object o);
@Test
public void testIsMember(){
//判断 member 元素是否是集合 key 的成员
System.out.println(opsForSet.isMember("zhou6", "a"));//false
}
Set< V > intersect(K key, K otherKey);
Set< V > intersect(K key, Collection< K > otherKeys);
Long intersectAndStore(K key, K otherKey, K destKey);
Long intersectAndStore(K key, Collection< K > otherKeys, K destKey);
@Test
public void testIntersect(){
redisTemplate.delete("zhou7");
redisTemplate.delete("zhou8");
redisTemplate.delete("zhou9");
redisTemplate.delete("zhou10");
redisTemplate.delete("zhou11");
opsForSet.add("zhou7", "a","b","c","d","e");
opsForSet.add("zhou8", "c","d","e","f","g");
//key对应的无序集合与otherKey对应的无序集合求交集
Set<Object> intersect = opsForSet.intersect("zhou7", "zhou8");
System.out.println(intersect);//[d, c, e]
opsForSet.add("zhou9", "c","h");
//key对应的无序集合与多个otherKey对应的无序集合求交集
System.out.println(opsForSet.intersect("zhou7", Arrays.asList("zhou8","zhou9")));//[c]
//key无序集合与otherkey无序集合的交集存储到destKey无序集合中
System.out.println(opsForSet.intersectAndStore("zhou7", "zhou8","zhou10"));//3
System.out.println(opsForSet.members("zhou10"));//[e, c, d]
//key对应的无序集合与多个otherKey对应的无序集合求交集存储到destKey无序集合中
System.out.println(opsForSet.intersectAndStore("zhou7", Arrays.asList("zhou8","zhou9"),"zhou11"));//1
System.out.println(opsForSet.members("zhou11"));//[c]
}
Set< V > union(K key, K otherKey);
Set< V > union(K key, Collection< K > otherKeys);
Long unionAndStore(K key, K otherKey, K destKey);
Long unionAndStore(K key, Collection otherKeys, K destKey);
@Test
public void testUnion(){
redisTemplate.delete("zhou12");
redisTemplate.delete("zhou13");
redisTemplate.delete("zhou14");
redisTemplate.delete("zhou15");
redisTemplate.delete("zhou16");
opsForSet.add("zhou12", "a","b","c","d","e");
opsForSet.add("zhou13", "c","d","e","f","g");
//key无序集合与otherKey无序集合的并集
Set<Object> union = opsForSet.union("zhou12", "zhou13");
System.out.println(union);//[f, g, d, a, e, c, b]
opsForSet.add("zhou14", "c","h");
//key无序集合与多个otherKey无序集合的并集
System.out.println(opsForSet.union("zhou12", Arrays.asList("zhou13","zhou14")));//[h, f, g, d, a, e, c, b]
//key无序集合与otherkey无序集合的并集存储到destKey无序集合中
System.out.println(opsForSet.unionAndStore("zhou12", "zhou13","zhou15"));//7
System.out.println(opsForSet.members("zhou15"));//[f, g, d, a, e, c, b]
//key无序集合与多个otherkey无序集合的并集存储到destKey无序集合中
System.out.println(opsForSet.unionAndStore("zhou12", Arrays.asList("zhou13","zhou14"),"zhou16"));//8
System.out.println(opsForSet.members("zhou16"));//[h, f, g, d, a, e, c, b]
}
Set difference(K key, K otherKey);
Set difference(K key, Collection otherKeys);
Long differenceAndStore(K key, K otherKey, K destKey);
Long differenceAndStore(K key, Collection otherKeys, K destKey);
@Test
public void testDifference(){
redisTemplate.delete("zhou17");
redisTemplate.delete("zhou18");
redisTemplate.delete("zhou19");
redisTemplate.delete("zhou20");
redisTemplate.delete("zhou21");
opsForSet.add("zhou17", "a","b","c","d","e");
opsForSet.add("zhou18", "c","d","e","f","g");
//key无序集合与otherKey无序集合的差集
Set<Object> difference = opsForSet.difference("zhou17", "zhou18");
System.out.println(difference);//[a, b]
opsForSet.add("zhou19", "c","h");
//key无序集合与多个otherKey无序集合的差集
System.out.println(opsForSet.difference("zhou17", Arrays.asList("zhou18","zhou19")));//[a, b]
//key无序集合与otherkey无序集合的差集存储到destKey无序集合中
System.out.println(opsForSet.differenceAndStore("zhou17", "zhou18","zhou20"));//2
System.out.println(opsForSet.members("zhou20"));//[a, b]
//key无序集合与多个otherkey无序集合的差集存储到destKey无序集合中
System.out.println(opsForSet.differenceAndStore("zhou17", Arrays.asList("zhou18","zhou19"),"zhou21"));//2
System.out.println(opsForSet.members("zhou21"));//[a, b]
}
V randomMember(K key);
@Test
public void testRandomMember(){
redisTemplate.delete("zhou22");
opsForSet.add("zhou22", "a","b","c","d","e");
//随机获取key无序集合中的一个元素
System.out.println(opsForSet.randomMember("zhou22"));//e
System.out.println(opsForSet.randomMember("zhou22"));//d
System.out.println(opsForSet.randomMember("zhou22"));//c
System.out.println(opsForSet.randomMember("zhou22"));//b
System.out.println(opsForSet.randomMember("zhou22"));//e
//获取多个key无序集合中的元素,count表示个数
System.out.println(opsForSet.randomMembers("zhou22",8));//[e, a, e, e, d, e, b, e]
System.out.println(opsForSet.randomMembers("zhou22",4));//[d, c, d, d]
//获取多个key无序集合中的元素(去重),count表示个数
System.out.println(opsForSet.distinctRandomMembers("zhou22",6));//[c, e, d, a, b]
System.out.println(opsForSet.distinctRandomMembers("zhou22",4));//c, b, e, d]
}
Cursor scan(K key, ScanOptions options);
@Test
public void testScan(){
redisTemplate.delete("zhou23");
opsForSet.add("zhou23", "a","b","c","d","e");
//遍历set,类似于Interator
Cursor<Object> curosr = opsForSet.scan("zhou23", ScanOptions.NONE);
while(curosr.hasNext()){
System.out.println(curosr.next());//e a d c b
}
}