springboot集成redis(二)各种类型数据的操作
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springboot集成redis数据的插入和查询
1. SpringDataRedis操作String类型数据
@Test
public void testString() {
ValueOperations<String, Object> valueOperations = redisTemplate.opsForValue();
// 添加一条数据
valueOperations.set("username", "zhangsan");
valueOperations.set("age", "18");
// redis中以层级关系、目录形式存储数据
valueOperations.set("user:01", "lisi");
valueOperations.set("user:02", "wangwu");
// 添加多条数据
Map<String, String> userMap = new HashMap<>();
userMap.put("address", "bj");
userMap.put("sex", "1");
valueOperations.multiSet(userMap);
// 获取一条数据
Object username = valueOperations.get("username");
System.out.println(username);
// 获取多条数据
List<String> keys = new ArrayList<>();
keys.add("username");
keys.add("age");
keys.add("address");
keys.add("sex");
List<Object> resultList = valueOperations.multiGet(keys);
for (Object str : resultList) {
System.out.println(str);
}
// 删除
redisTemplate.delete("username");
}
插入:
void set(K key, V value);
查询:
V get(Object key);
批量查询:
List
删除:(redisTemplate实例)
Boolean delete(K key);
2. SpringDataRedis操作hash数据类型
@Test
public void testHash() {
HashOperations<String, String, String> hashOperations = redisTemplate.opsForHash();
/*
*
添加一条数据
*
参数一:redis的key
*
参数二:hash的key
*
参数三:hash的value
*/
hashOperations.put("userInfo","name","lisi");
// 添加多条数据
Map<String, String> map = new HashMap();
map.put("age", "20");
map.put("sex", "1");
hashOperations.putAll("userInfo", map);
// 获取一条数据
String name = hashOperations.get("userInfo", "name");
System.out.println(name);
// 获取多条数据
List<String> keys = new ArrayList<>();
keys.add("age");
keys.add("sex");
List<String> resultlist =hashOperations.multiGet("userInfo", keys);
for (String str : resultlist) {
System.out.println(str);
}
// 获取Hash类型所有的数据
Map<String, String> userMap = hashOperations.entries("userInfo");
for (Entry<String, String> userInfo : userMap.entrySet()) {
System.out.println(userInfo.getKey() + "--" + userInfo.getValue());
}
// 删除 用于删除hash类型数据
hashOperations.delete("userInfo", "name");
}
插入:
void put(H key, HK hashKey, HV value);
void putAll(H key, Map<? extends HK, ? extends HV> m);
查询:
HV get(H key, Object hashKey);
批量查询:
List
Map
删除:
Long delete(H key, Object... hashKeys);
3. SpringDataRedis操作List类型数据
@Test
public void testList() {
ListOperations<String, Object> listOperations = redisTemplate.opsForList();
// 左添加(上)
// listOperations.leftPush("students", "Wang Wu");
// listOperations.leftPush("students", "Li Si");
// 左添加(上) 把value值放到key对应列表中pivot值的左面,如果pivot值存在的话
//listOperations.leftPush("students", "Wang Wu", "Li Si");
// 右添加(下)
// listOperations.rightPush("students", "Zhao Liu");
// 获取 start起始下标 end结束下标 包含关系
List<Object> students = listOperations.range("students", 0,2);
for (Object stu : students) {
System.out.println(stu);
}
// 根据下标获取
Object stu = listOperations.index("students", 1);
System.out.println(stu);
// 获取总条数
Long total = listOperations.size("students");
System.out.println("总条数:" + total);
// 删除单条 删除列表中存储的列表中几个出现的Li Si。
listOperations.remove("students", 1, "Li Si");
// 删除多条
redisTemplate.delete("students");
}
左添加:
leftPush()
右添加:
rightPush()
根据下标获取:
index(key,index)
获取总条数:
size(key)
删除:
remove(key,count,value)
4. SpringDataRedis操作set类型数据
@Test
public void testSet() {
SetOperations<String, Object> setOperations = redisTemplate.opsForSet();
// 添加数据
String[] letters = new String[]{"aaa", "bbb", "ccc", "ddd", "eee"};
//setOperations.add("letters", "aaa", "bbb", "ccc", "ddd", "eee");
setOperations.add("letters", letters);
// 获取数据
Set<Object> let = setOperations.members("letters");
for (Object letter: let) {
System.out.println(letter);
}
// 删除
setOperations.remove("letters", "aaa", "bbb");
}
添加:
add(key,value)
获取:
members(key)
5. SpringDataRedis操作sorted set类型数据
@Test
public void testSortedSet() {
ZSetOperations<String, Object> zSetOperations = redisTemplate.opsForZSet();
ZSetOperations.TypedTuple<Object> objectTypedTuple1 = new DefaultTypedTuple<Object>("zhangsan", 7D);
ZSetOperations.TypedTuple<Object> objectTypedTuple2 = new DefaultTypedTuple<Object>("lisi", 3D);
ZSetOperations.TypedTuple<Object> objectTypedTuple3 = new DefaultTypedTuple<Object>("wangwu", 5D);
ZSetOperations.TypedTuple<Object> objectTypedTuple4 = new DefaultTypedTuple<Object>("zhaoliu", 6D);
ZSetOperations.TypedTuple<Object> objectTypedTuple5 = new DefaultTypedTuple<Object>("tianqi", 2D);
Set<ZSetOperations.TypedTuple<Object>> tuples = new HashSet<ZSetOperations.TypedTuple<Object>>();
tuples.add(objectTypedTuple1);
tuples.add(objectTypedTuple2);
tuples.add(objectTypedTuple3);
tuples.add(objectTypedTuple4);
tuples.add(objectTypedTuple5);
// 添加数据
zSetOperations.add("score", tuples);
// 获取数据
Set<Object> scores = zSetOperations.range("score", 0, 4);
for (Object score: scores) {
System.out.println(score);
}
// 获取总条数
Long total = zSetOperations.size("score");
System.out.println("总条数:" + total);
// 删除
zSetOperations.remove("score", "zhangsan", "lisi");
}
添加数据:
add(key,score,value)
查询:
range(key,start,end)
6. SpringDataRedis获取所有key和设置key失效时间
1. 获取所有key
@Test
public void testAllKeys() {
// 当前库key的名称
Set<String> keys = redisTemplate.keys("*");
for (String key: keys) {
System.out.println(key);
}
}
2. 设置key的失效时间
@Test
public void testEx() {
ValueOperations<String, Object> valueOperations = redisTemplate.opsForValue();
// 方法一:插入一条数据并设置失效时间
valueOperations.set("code", "abcd", 180, TimeUnit.SECONDS);
// 方法二:给已存在的key设置失效时间
boolean flag = redisTemplate.expire("code", 180, TimeUnit.SECONDS);
// 获取指定key的失效时间
Long l = redisTemplate.getExpire("code");
}
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- 本文标签: Spring Boot redis
- 本文链接: https://blog.wangqi2020.top/article/27
- 版权声明: 本文由王祁原创发布,转载请遵循《署名-非商业性使用-相同方式共享 4.0 国际 (CC BY-NC-SA 4.0)》许可协议授权