一、首先介紹一下Redis
Redis是目前業界使用最廣泛的內存數據存儲。相比memcached,Redis支持更豐富的數據結構,例如hashes, lists, sets等,同時支持數據持久化。除此之外,Redis還提供一些類數據庫的特性,比如事務,HA,主從庫。可以說Redis兼具了緩存系統和數據庫的一些特性,因此有着豐富的應用場景。本文介紹Redis在Spring Boot中典型的應用場景。
Redis緩存數據類型有5種,分別是String(字符串)、List(列表)、Hash(哈希)、Set(無序,不重復集合)、ZSet(sorted set:有序,不重復集合)。
二、先下載redis 我這里使用的是window64 版本
這是教程鏈接: http://blog.csdn.net/jinwufeiyang/article/details/52156817
Redis 下載鏈接 :https://github.com/MicrosoftArchive/redis/releases

雙擊圖上的標記的 ,如成功便如圖下

三、下面介紹java如何配置
這是我的項目結構

首先pom中引入jar包
<!--共享Session-spring-session-data-redis分布式系統中,
sessiong共享有很多的解決方案,其中托管到緩存中應該是最常用的方案之一-->
<dependency>
<groupId>org.springframework.session</groupId>
<artifactId>spring-session-data-redis</artifactId>
</dependency>
application.properties 配置
# default-store in spring session. it will be set in redis only outside. spring.session.store-type=none # REDIS (RedisProperties) # Redis數據庫索引(默認為0) spring.redis.database=0 # Redis服務器地址 spring.redis.host=127.0.0.1 # Redis服務器連接端口 spring.redis.port=6379 # Redis服務器連接密碼(默認為空) spring.redis.password= # 連接池最大連接數(使用負值表示沒有限制) spring.redis.pool.max-active=8 # 連接池最大阻塞等待時間(使用負值表示沒有限制) spring.redis.pool.max-wait=-1 # 連接池中的最大空閑連接 spring.redis.pool.max-idle=8 # 連接池中的最小空閑連接 spring.redis.pool.min-idle=0 # 連接超時時間(毫秒) spring.redis.timeout=0
RedisController 配置
@RestController public class RedisController { @Autowired private RedisServiceImpl service; //添加 @RequestMapping(value = "/add", method = RequestMethod.GET) public void test() { System.out.println("start....."); RedisModel m = new RedisModel(); m.setName("張三"); m.setTel("1111"); m.setAddress("深圳1"); m.setRedisKey("zhangsanKey01"); service.put(m.getRedisKey(), m, -1); RedisModel m2 = new RedisModel(); m2.setName("張三2"); m2.setTel("2222"); m2.setAddress("深圳2"); m2.setRedisKey("zhangsanKey02"); service.put(m2.getRedisKey(), m2, -1); RedisModel m3 = new RedisModel(); m3.setName("張三3"); m3.setTel("2222"); m3.setAddress("深圳2"); m3.setRedisKey("zhangsanKey03"); service.put(m3.getRedisKey(), m3, -1); System.out.println("add success end..."); } //查詢所有對象 @RequestMapping(value = "/getAll", method = RequestMethod.GET) @ResponseBody public Object getAll() { return service.getAll(); } //查詢所有key @RequestMapping(value = "/getKeys", method = RequestMethod.GET) @ResponseBody public Object getKeys() { return service.getKeys(); } //根據key查詢 @RequestMapping(value = "/get", method = RequestMethod.GET) public Object get(String key) { RedisModel m = new RedisModel(); m.setRedisKey(key); return service.get(m.getRedisKey()); } //刪除 @RequestMapping(value = "/remove", method = RequestMethod.GET) @ResponseBody public void remove() { RedisModel m = new RedisModel(); m.setRedisKey("zhangsanKey01"); service.remove(m.getRedisKey()); } //判斷key是否存在 @RequestMapping(value = "/isKeyExists", method = RequestMethod.GET) @ResponseBody public void isKeyExists() { RedisModel m = new RedisModel(); m.setRedisKey("zhangsanKey01"); boolean flag = service.isKeyExists(m.getRedisKey()); System.out.println("zhangsanKey01 是否存在: "+flag); } //查詢當前緩存的數量 @RequestMapping(value = "/count", method = RequestMethod.GET) @ResponseBody public Object count() { return service.count(); } //清空所有key @RequestMapping(value = "/empty", method = RequestMethod.GET) @ResponseBody public void empty() { service.empty(); }
IRedisService 配置
public abstract class IRedisService<T> { @Autowired protected RedisTemplate<String, Object> redisTemplate; @Resource protected HashOperations<String, String, T> hashOperations; /** * 存入redis中的key * * @return */ protected abstract String getRedisKey(); /** * 添加 * * @param key key * @param doamin 對象 * @param expire 過期時間(單位:秒),傳入 -1 時表示不設置過期時間 */ public void put(String key, T doamin, long expire) { hashOperations.put(getRedisKey(), key, doamin); if (expire != -1) { redisTemplate.expire(getRedisKey(), expire, TimeUnit.SECONDS); } } /** * 刪除 * * @param key 傳入key的名稱 */ public void remove(String key) { hashOperations.delete(getRedisKey(), key); } /** * 查詢 * * @param key 查詢的key * @return */ public T get(String key) { return hashOperations.get(getRedisKey(), key); } /** * 獲取當前redis庫下所有對象 * * @return */ public List<T> getAll() { return hashOperations.values(getRedisKey()); } /** * 查詢查詢當前redis庫下所有key * * @return */ public Set<String> getKeys() { return hashOperations.keys(getRedisKey()); } /** * 判斷key是否存在redis中 * * @param key 傳入key的名稱 * @return */ public boolean isKeyExists(String key) { return hashOperations.hasKey(getRedisKey(), key); } /** * 查詢當前key下緩存數量 * * @return */ public long count() { return hashOperations.size(getRedisKey()); } /** * 清空redis */ public void empty() { Set<String> set = hashOperations.keys(getRedisKey()); set.stream().forEach(key -> hashOperations.delete(getRedisKey(),key)); }
RedisServiceImpl 配置
@Service public class RedisServiceImpl extends IRedisService<RedisModel> { private static final String REDIS_KEY = "TEST_REDIS_KEY"; @Override protected String getRedisKey() { return this.REDIS_KEY; } }
RedisModel 配置
public class RedisModel implements Serializable { private String redisKey;//redis中的key private String name;//姓名 private String tel;//電話 private String address;//住址 public String getRedisKey() { return redisKey; } public void setRedisKey(String redisKey) { this.redisKey = redisKey; } public String getName() { return name; } public void setName(String name) { this.name = name; } public String getTel() { return tel; } public void setTel(String tel) { this.tel = tel; } public String getAddress() { return address; } public void setAddress(String address) { this.address = address; }
RedisConfig配置
@Configuration public class RedisConfig { /** * 注入 RedisConnectionFactory */ @Autowired RedisConnectionFactory redisConnectionFactory; /** * 實例化 RedisTemplate 對象 * * @return */ @Bean public RedisTemplate<String, Object> functionDomainRedisTemplate() { RedisTemplate<String, Object> redisTemplate = new RedisTemplate<>(); initDomainRedisTemplate(redisTemplate, redisConnectionFactory); return redisTemplate; } /** * 設置數據存入 redis 的序列化方式 * * @param redisTemplate * @param factory */ private void initDomainRedisTemplate(RedisTemplate<String, Object> redisTemplate, RedisConnectionFactory factory) { redisTemplate.setKeySerializer(new StringRedisSerializer()); redisTemplate.setHashKeySerializer(new StringRedisSerializer()); redisTemplate.setHashValueSerializer(new JdkSerializationRedisSerializer()); redisTemplate.setValueSerializer(new JdkSerializationRedisSerializer()); redisTemplate.setConnectionFactory(factory); } /** * 實例化 HashOperations 對象,可以使用 Hash 類型操作 * * @param redisTemplate * @return */ @Bean public HashOperations<String, String, Object> hashOperations(RedisTemplate<String, Object> redisTemplate) { return redisTemplate.opsForHash(); } /** * 實例化 ValueOperations 對象,可以使用 String 操作 * * @param redisTemplate * @return */ @Bean public ValueOperations<String, Object> valueOperations(RedisTemplate<String, Object> redisTemplate) { return redisTemplate.opsForValue(); } /** * 實例化 ListOperations 對象,可以使用 List 操作 * * @param redisTemplate * @return */ @Bean public ListOperations<String, Object> listOperations(RedisTemplate<String, Object> redisTemplate) { return redisTemplate.opsForList(); } /** * 實例化 SetOperations 對象,可以使用 Set 操作 * * @param redisTemplate * @return */ @Bean public SetOperations<String, Object> setOperations(RedisTemplate<String, Object> redisTemplate) { return redisTemplate.opsForSet(); } /** * 實例化 ZSetOperations 對象,可以使用 ZSet 操作 * * @param redisTemplate * @return */ @Bean public ZSetOperations<String, Object> zSetOperations(RedisTemplate<String, Object> redisTemplate) { return redisTemplate.opsForZSet(); }
Redis 實現session 共享 sessionConfig 配置
@Configuration @EnableRedisHttpSession(maxInactiveIntervalInSeconds = 86400*30) public class SessionConfig { }
調用方法
HttpSession session;
session.setAttribute("data", "Session 共享 9966"); String name = "端口號:9966========="+ session.getAttribute("data");
分別運行兩個一樣的配置 session 就共享了
源碼 良心制作 :https://gitee.com/xdymemory00/FuZaiJunHeng_Redis_session-GongXiang
nginx +Redis window64 版本工具:https://gitee.com/xdymemory00/Redis_Nginx-GongJu.git
運行之后收工!!!!!!!!!!
