Spring Boot + Redis 實現(xiàn)各種操作，寫得太好了吧！
https://blog.csdn.net/qq_42105629/article/details/102589319
一、Jedis,Redisson,Lettuce 三者的區(qū)別
共同點：都提供了基于 Redis 操作的 Java API，只是封裝程度，具體實現(xiàn)稍有不同。
不同點：
1.1、Jedis
是 Redis 的 Java 實現(xiàn)的客戶端。支持基本的數(shù)據(jù)類型如：String、Hash、List、Set、Sorted Set。
特點：使用阻塞的 I/O，方法調(diào)用同步，程序流需要等到 socket 處理完 I/O 才能執(zhí)行，不支持異步操作。Jedis 客戶端實例不是線程安全的，需要通過連接池來使用 Jedis。
1.1、Redisson
優(yōu)點點：分布式鎖，分布式集合，可通過 Redis 支持延遲隊列。
1.3、 Lettuce
用于線程安全同步，異步和響應使用，支持集群，Sentinel，管道和編碼器。
基于 Netty 框架的事件驅(qū)動的通信層，其方法調(diào)用是異步的。Lettuce 的 API 是線程安全的，所以可以操作單個 Lettuce 連接來完成各種操作。
二、Jedis
三、RedisTemplate
3.1、使用配置
maven 配置引入，（要加上版本號，我這里是因為 Parent 已聲明）
org.springframework.boot
spring-boot-starter-data-redis
application-dev.yml
spring:
redis:
host: 192.168.1.140
port: 6379
password:
database: 15 # 指定redis的分庫（共16個0到15）
3.2、使用示例
@Resource
private StringRedisTemplate stringRedisTemplate;
@Override
public CustomersEntity findById(Integer id) {
// 需要緩存
// 所有涉及的緩存都需要刪除，或者更新
try {
String toString = stringRedisTemplate.opsForHash().get(REDIS_CUSTOMERS_ONE, id + "").toString();
if (toString != null) {
return JSONUtil.toBean(toString, CustomersEntity.class);
}
} catch (Exception e) {
e.printStackTrace();
}
// 緩存為空的時候，先查,然后緩存redis
Optional byId = customerRepo.findById(id);
if (byId.isPresent()) {
CustomersEntity customersEntity = byId.get();
try {
stringRedisTemplate.opsForHash().put(REDIS_CUSTOMERS_ONE, id + "", JSONUtil.toJsonStr(customersEntity));
} catch (Exception e) {
e.printStackTrace();
}
return customersEntity;
}
return null;
}
3.3、擴展
3.3.1、spring-boot-starter-data-redis 的依賴包
3.3.2、stringRedisTemplate API（部分展示）
opsForHash --> hash 操作
opsForList --> list 操作
opsForSet --> set 操作
opsForValue --> string 操作
opsForZSet --> Zset 操作
3.3.3 StringRedisTemplate 默認序列化機制
public class StringRedisTemplate extends RedisTemplate<String, String> {
/**
* Constructs a new StringRedisTemplate instance. {@link #setConnectionFactory(RedisConnectionFactory)}
* and {@link #afterPropertiesSet()} still need to be called.
*/
public StringRedisTemplate() {
RedisSerializer stringSerializer = new StringRedisSerializer();
setKeySerializer(stringSerializer);
setValueSerializer(stringSerializer);
setHashKeySerializer(stringSerializer);
setHashValueSerializer(stringSerializer);
}
}
四、RedissonClient 操作示例
4.1 基本配置
4.1.1、Maven pom 引入
org.springframework.boot
spring-boot-starter-data-redis
org.redisson
redisson
3.8.2
true
org.redisson
redisson-spring-boot-starter
LATEST
4.1.2、添加配置文件 Yaml 或者 json 格式
redisson-config.yml
# Redisson 配置
singleServerConfig:
address: "redis://192.168.1.140:6379"
password: null
clientName: null
database: 15 #選擇使用哪個數(shù)據(jù)庫0~15
idleConnectionTimeout: 10000
pingTimeout: 1000
connectTimeout: 10000
timeout: 3000
retryAttempts: 3
retryInterval: 1500
reconnectionTimeout: 3000
failedAttempts: 3
subscriptionsPerConnection: 5
subscriptionConnectionMinimumIdleSize: 1
subscriptionConnectionPoolSize: 50
connectionMinimumIdleSize: 32
connectionPoolSize: 64
dnsMonitoringInterval: 5000
#dnsMonitoring: false
threads: 0
nettyThreads: 0
codec:
class: "org.redisson.codec.JsonJacksonCodec"
transportMode: "NIO"
或者，配置 redisson-config.json
{
"singleServerConfig": {
"idleConnectionTimeout": 10000,
"pingTimeout": 1000,
"connectTimeout": 10000,
"timeout": 3000,
"retryAttempts": 3,
"retryInterval": 1500,
"reconnectionTimeout": 3000,
"failedAttempts": 3,
"password": null,
"subscriptionsPerConnection": 5,
"clientName": null,
"address": "redis://192.168.1.140:6379",
"subscriptionConnectionMinimumIdleSize": 1,
"subscriptionConnectionPoolSize": 50,
"connectionMinimumIdleSize": 10,
"connectionPoolSize": 64,
"database": 0,
"dnsMonitoring": false,
"dnsMonitoringInterval": 5000
},
"threads": 0,
"nettyThreads": 0,
"codec": null,
"useLinuxNativeEpoll": false
}
4.1.3、讀取配置
新建讀取配置類
@Configuration
public class RedissonConfig {
@Bean
public RedissonClient redisson() throws IOException {
// 兩種讀取方式，Config.fromYAML 和 Config.fromJSON
// Config config = Config.fromJSON(RedissonConfig.class.getClassLoader().getResource("redisson-config.json"));
Config config = Config.fromYAML(RedissonConfig.class.getClassLoader().getResource("redisson-config.yml"));
return Redisson.create(config);
}
}
或者，在 application.yml 中配置如下
spring:
redis:
redisson:
config: classpath:redisson-config.yaml
4.2 使用示例
@RestController
@RequestMapping("/")
public class TeController {
@Autowired
private RedissonClient redissonClient;
static long i = 20;
static long sum = 300;
// ========================== String =======================
@GetMapping("/set/{key}")
public String s1(@PathVariable String key) {
// 設置字符串
RBucket keyObj = redissonClient.getBucket(key);
keyObj.set(key + "1-v1");
return key;
}
@GetMapping("/get/{key}")
public String g1(@PathVariable String key) {
// 設置字符串
RBucket keyObj = redissonClient.getBucket(key);
String s = keyObj.get();
return s;
}
// ========================== hash =======================-=
@GetMapping("/hset/{key}")
public String h1(@PathVariable String key) {
Ur ur = new Ur();
ur.setId(MathUtil.randomLong(1,20));
ur.setName(key);
// 存放 Hash
RMap ss = redissonClient.getMap("UR");
ss.put(ur.getId().toString(), ur);
return ur.toString();
}
@GetMapping("/hget/{id}")
public String h2(@PathVariable String id) {
// hash 查詢
RMap ss = redissonClient.getMap("UR");
Ur ur = ss.get(id);
return ur.toString();
}
// 查詢所有的 keys
@GetMapping("/all")
public String all(){
RKeys keys = redissonClient.getKeys();
Iterable keys1 = keys.getKeys();
keys1.forEach(System.out::println);
return keys.toString();
}
// ================== ==============讀寫鎖測試 =============================
@GetMapping("/rw/set/{key}")
public void rw_set(){
// RedissonLock.
RBucket ls_count = redissonClient.getBucket("LS_COUNT");
ls_count.set("300",360000000l, TimeUnit.SECONDS);
}
// 減法運算
@GetMapping("/jf")
public void jf(){
String key = "S_COUNT";
// RAtomicLong atomicLong = redissonClient.getAtomicLong(key);
// atomicLong.set(sum);
// long l = atomicLong.decrementAndGet();
// System.out.println(l);
RAtomicLong atomicLong = redissonClient.getAtomicLong(key);
if (!atomicLong.isExists()) {
atomicLong.set(300l);
}
while (i == 0) {
if (atomicLong.get() > 0) {
long l = atomicLong.getAndDecrement();
try {
Thread.sleep(1000l);
} catch (InterruptedException e) {
e.printStackTrace();
}
i --;
System.out.println(Thread.currentThread().getName() + "->" + i + "->" + l);
}
}
}
@GetMapping("/rw/get")
public String rw_get(){
String key = "S_COUNT";
Runnable r = new Runnable() {
@Override
public void run() {
RAtomicLong atomicLong = redissonClient.getAtomicLong(key);
if (!atomicLong.isExists()) {
atomicLong.set(300l);
}
if (atomicLong.get() > 0) {
long l = atomicLong.getAndDecrement();
i --;
System.out.println(Thread.currentThread().getName() + "->" + i + "->" + l);
}
}
};
while (i != 0) {
new Thread(r).start();
// new Thread(r).run();
// new Thread(r).run();
// new Thread(r).run();
// new Thread(r).run();
}
RBucket bucket = redissonClient.getBucket(key);
String s = bucket.get();
System.out.println("================線程已結(jié)束================================" + s);
return s;
}
}
4.3 擴展
4.3.1 豐富的 jar 支持，尤其是對 Netty NIO 框架
4.3.2 豐富的配置機制選擇，這里是詳細的配置說明
關于序列化機制中，就有很多
4.3.3 API 支持（部分展示），具體的 Redis --> RedissonClient ,?可查看這里
4.3.4 輕便的豐富的鎖機制的實現(xiàn)
4.3.4.1 Lock
4.3.4.2 Fair Lock
4.3.4.3 MultiLock
4.3.4.4 RedLock
4.3.4.5 ReadWriteLock
4.3.4.6 Semaphore
4.3.4.7 PermitExpirableSemaphore
4.3.4.8 CountDownLatch
五、基于注解實現(xiàn)的 Redis 緩存
5.1 Maven 和 YML 配置
參考 RedisTemplate 配置
另外，還需要額外的配置類
// todo 定義序列化，解決亂碼問題
@EnableCaching
@Configuration
@ConfigurationProperties(prefix = "spring.cache.redis")
public class RedisCacheConfig {
private Duration timeToLive = Duration.ZERO;
public void setTimeToLive(Duration timeToLive) {
this.timeToLive = timeToLive;
}
@Bean
public CacheManager cacheManager(RedisConnectionFactory factory) {
RedisSerializer redisSerializer = new StringRedisSerializer();
Jackson2JsonRedisSerializer jackson2JsonRedisSerializer = new Jackson2JsonRedisSerializer(Object.class);
// 解決查詢緩存轉(zhuǎn)換異常的問題
ObjectMapper om = new ObjectMapper();
om.setVisibility(PropertyAccessor.ALL, JsonAutoDetect.Visibility.ANY);
om.enableDefaultTyping(ObjectMapper.DefaultTyping.NON_FINAL);
jackson2JsonRedisSerializer.setObjectMapper(om);
// 配置序列化（解決亂碼的問題）
RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(timeToLive)
.serializeKeysWith(RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer))
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(jackson2JsonRedisSerializer))
.disableCachingNullValues();
RedisCacheManager cacheManager = RedisCacheManager.builder(factory)
.cacheDefaults(config)
.build();
return cacheManager;
}
}
5.2 使用示例
@Transactional
@Service
public class ReImpl implements RedisService {
@Resource
private CustomerRepo customerRepo;
@Resource
private StringRedisTemplate stringRedisTemplate;
public static final String REDIS_CUSTOMERS_ONE = "Customers";
public static final String REDIS_CUSTOMERS_ALL = "allList";
// =====================================================================使用Spring cahce 注解方式實現(xiàn)緩存
// ==================================單個操作
@Override
@Cacheable(value = "cache:customer", unless = "null == #result",key = "#id")
public CustomersEntity cacheOne(Integer id) {
final Optional byId = customerRepo.findById(id);
return byId.isPresent() ? byId.get() : null;
}
@Override
@Cacheable(value = "cache:customer", unless = "null == #result", key = "#id")
public CustomersEntity cacheOne2(Integer id) {
final Optional byId = customerRepo.findById(id);
return byId.isPresent() ? byId.get() : null;
}
// todo 自定義redis緩存的key,
@Override
@Cacheable(value = "cache:customer", unless = "null == #result", key = "#root.methodName + '.' + #id")
public CustomersEntity cacheOne3(Integer id) {
final Optional byId = customerRepo.findById(id);
return byId.isPresent() ? byId.get() : null;
}
// todo 這里緩存到redis，還有響應頁面是String（加了很多轉(zhuǎn)義符\,），不是Json格式
@Override
@Cacheable(value = "cache:customer", unless = "null == #result", key = "#root.methodName + '.' + #id")
public String cacheOne4(Integer id) {
final Optional byId = customerRepo.findById(id);
return byId.map(JSONUtil::toJsonStr).orElse(null);
}
// todo 緩存json，不亂碼已處理好,調(diào)整序列化和反序列化
@Override
@Cacheable(value = "cache:customer", unless = "null == #result", key = "#root.methodName + '.' + #id")
public CustomersEntity cacheOne5(Integer id) {
Optional byId = customerRepo.findById(id);
return byId.filter(obj -> !StrUtil.isBlankIfStr(obj)).orElse(null);
}
// ==================================刪除緩存
@Override
@CacheEvict(value = "cache:customer", key = "'cacheOne5' + '.' + #id")
public Object del(Integer id) {
// 刪除緩存后的邏輯
return null;
}
@Override
@CacheEvict(value = "cache:customer",allEntries = true)
public void del() {
}
@CacheEvict(value = "cache:all",allEntries = true)
public void delall() {
}
// ==================List操作
@Override
@Cacheable(value = "cache:all")
public List cacheList() {
List all = customerRepo.findAll();
return all;
}
// todo 先查詢緩存，再校驗是否一致，然后更新操作，比較實用，要清楚緩存的數(shù)據(jù)格式（明確業(yè)務和緩存模型數(shù)據(jù)）
@Override
@CachePut(value = "cache:all",unless = "null == #result",key = "#root.methodName")
public List cacheList2() {
List all = customerRepo.findAll();
return all;
}
}
5.3 擴展
基于 spring 緩存實現(xiàn)
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