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)。
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 } }
转载自:https://blog.csdn.net/weixin_37490221/article/details/78135202