前言
最近有个想法想整理一个内容比较完整springboot项目初始化Demo。
SpringBoot使用Redis 缓存数据
一、 pom引入依赖
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>31.0.1-jre</version>
</dependency>
二、 application-dev.yaml 增加redis 连接配置
spring:
datasource:
driver-class-name: oracle.jdbc.OracleDriver
url: jdbc:oracle:thin:@//127.0.0.1:1521/orcl2
username: murg_demo
password: 654321
hikari:
connection-test-query: SELECT 1 FROM DUAL
minimum-idle: 10
maximum-pool-size: 50
idle-timeout: 1200000
max-lifetime: 1800000
connection-timeout: 180000
cache:
redis:
time-to-live: 1800s
redis:
host: 127.0.0.1
port: 6379
password: admin
logging:
level:
org.springframework.security: debug
三、创建RedisConfig类，规定序列化格式
package com.murg.bootdemo.config;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.serializer.RedisSerializer;
import org.springframework.data.redis.serializer.StringRedisSerializer;
@Configuration
public class RedisConfig {
//redisTemplate注入到Spring容器
@Bean
public RedisTemplate<String,String> redisTemplate(RedisConnectionFactory factory){
RedisTemplate<String,String> redisTemplate=new RedisTemplate<>();
//自定义序列化方式使用String序列化：可以简化操作并提高查找效率。
RedisSerializer<String> redisSerializer = new StringRedisSerializer();
redisTemplate.setConnectionFactory(factory);
//key序列化
redisTemplate.setKeySerializer(redisSerializer);
//value序列化
redisTemplate.setValueSerializer(redisSerializer);
//value hashmap序列化
redisTemplate.setHashKeySerializer(redisSerializer);
//key hashmap序列化
redisTemplate.setHashValueSerializer(redisSerializer);
return redisTemplate;
}
}
四、创建RedisUtils 工具类
package com.murg.bootdemo.util;
import com.google.common.collect.HashMultimap;
import org.springframework.context.annotation.Bean;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.core.*;
import org.springframework.stereotype.Component;
import java.util.*;
import java.util.concurrent.TimeUnit;
/**
* @description: Redis工具类
*/
@Component
public class RedisUtils {
private static StringRedisTemplate redisTemplate;
public RedisUtils(StringRedisTemplate redisTemplate) {
this.redisTemplate = redisTemplate;
}
/**
* 写入缓存
*
* @param key redis键
* @param value redis值
* @return 是否成功
*/
public static boolean set(final String key, String value) {
boolean result = false;
try {
ValueOperations<String, String> operations = redisTemplate.opsForValue();
operations.set(key, value);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 写入缓存设置时效时间
*
* @param key redis键
* @param value redis值
* @return 是否成功
*/
public static boolean set(final String key, String value, Long expireTime) {
boolean result = false;
try {
ValueOperations<String, String> operations = redisTemplate.opsForValue();
operations.set(key, value);
redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);
result = true;
} catch (Exception e) {
e.printStackTrace();
}
return result;
}
/**
* 批量删除对应的键值对
*
* @param keys Redis键名数组
*/
public static void removeByKeys(final String... keys) {
for (String key : keys) {
remove(key);
}
}
/**
* 批量删除Redis key
*
* @param pattern 键名包含字符串（如：myKey*）
*/
public static void removePattern(final String pattern) {
Set<String> keys = redisTemplate.keys(pattern);
if (keys != null && keys.size() > 0)
redisTemplate.delete(keys);
}
/**
* 删除key,也删除对应的value
*
* @param key Redis键名
*/
public static void remove(final String key) {
if (exists(key)) {
redisTemplate.delete(key);
}
}
/**
* 判断缓存中是否有对应的value
*
* @param key Redis键名
* @return 是否存在
*/
public static Boolean exists(final String key) {
return redisTemplate.hasKey(key);
}
/**
* 读取缓存
*
* @param key Redis键名
* @return 是否存在
*/
public static String get(final String key) {
String result = null;
ValueOperations<String, String> operations = redisTemplate.opsForValue();
result = operations.get(key);
return result;
}
/**
* 哈希 添加
*
* @param key Redis键
* @param hashKey 哈希键
* @param value 哈希值
*/
public static void hmSet(String key, String hashKey, String value) {
HashOperations<String, String, String> hash = redisTemplate.opsForHash();
hash.put(key, hashKey, value);
}
/**
* 哈希获取数据
*
* @param key Redis键
* @param hashKey 哈希键
* @return 哈希值
*/
public static String hmGet(String key, String hashKey) {
HashOperations<String, String, String> hash = redisTemplate.opsForHash();
return hash.get(key, hashKey);
}
/**
* 判断hash是否存在键
*
* @param key Redis键
* @param hashKey 哈希键
* @return 是否存在
*/
public static boolean hmHasKey(String key, String hashKey) {
HashOperations<String, String, String> hash = redisTemplate.opsForHash();
return hash.hasKey(key, hashKey);
}
/**
* 删除hash中一条或多条数据
*
* @param key Redis键
* @param hashKeys 哈希键名数组
* @return 删除数量
*/
public static long hmRemove(String key, String... hashKeys) {
HashOperations<String, String, String> hash = redisTemplate.opsForHash();
return hash.delete(key, hashKeys);
}
/**
* 获取所有哈希键值对
*
* @param key Redis键名
* @return 哈希Map
*/
public static Map<String, String> hashMapGet(String key) {
HashOperations<String, String, String> hash = redisTemplate.opsForHash();
return hash.entries(key);
}
/**
* 保存Map到哈希
*
* @param key Redis键名
* @param map 哈希Map
*/
public static void hashMapSet(String key, Map<String, String> map) {
HashOperations<String, String, String> hash = redisTemplate.opsForHash();
hash.putAll(key, map);
}
/**
* 列表-追加值
*
* @param key Redis键名
* @param value 列表值
*/
public static void lPush(String key, String value) {
ListOperations<String, String> list = redisTemplate.opsForList();
list.leftPush(key, value);
}
/**
* 列表-删除值
*
* @param key Redis键名
* @param value 列表值
*/
public static void lRemove(String key, String value) {
ListOperations<String, String> list = redisTemplate.opsForList();
list.remove(key, 0, value);
}
/**
* 列表-获取指定范围数据
*
* @param key Redis键名
* @param start 开始行号（start:0，end:-1查询所有值）
* @param end 结束行号
* @return 列表
*/
public static List<String> lRange(String key, long start, long end) {
ListOperations<String, String> list = redisTemplate.opsForList();
return list.range(key, start, end);
}
/**
* 集合添加
*
* @param key Redis键名
* @param value 值
*/
public static void add(String key, String value) {
SetOperations<String, String> set = redisTemplate.opsForSet();
set.add(key, value);
}
/**
* 集合获取
*
* @param key Redis键名
* @return 集合
*/
public static Set<String> setMembers(String key) {
SetOperations<String, String> set = redisTemplate.opsForSet();
return set.members(key);
}
/**
* 有序集合添加
*
* @param key Redis键名
* @param value 值
* @param score 排序号
*/
public static void zAdd(String key, String value, double score) {
ZSetOperations<String, String> zSet = redisTemplate.opsForZSet();
zSet.add(key, value, score);
}
/**
* 有序集合-获取指定范围
*
* @param key Redis键
* @param startScore 开始序号
* @param endScore 结束序号
* @return 集合
*/
public static Set<String> rangeByScore(String key, double startScore, double endScore) {
ZSetOperations<String, String> zset = redisTemplate.opsForZSet();
return zset.rangeByScore(key, startScore, endScore);
}
/**
* 模糊查询Redis键名
*
* @param pattern 键名包含字符串（如：myKey*）
* @return 集合
*/
public static Set<String> keys(String pattern) {
return redisTemplate.keys(pattern);
}
/**
* 获取多个hashMap
*
* @param keySet
* @return List<Map < String, String>> hashMap列表
*/
public static List hashMapList(Collection<String> keySet) {
return redisTemplate.executePipelined(new SessionCallback<String>() {
@Override
public <K, V> String execute(RedisOperations<K, V> operations) throws DataAccessException {
HashOperations hashOperations = operations.opsForHash();
for (String key : keySet) {
hashOperations.entries(key);
}
return null;
}
});
}
/**
* 保存多个哈希表（HashMap）(Redis键名可重复)
*
* @param batchMap Map<Redis键名,Map<键,值>>
*/
public static void batchHashMapSet(HashMultimap<String, Map<String, String>> batchMap) {
// 设置5秒超时时间
redisTemplate.expire("max", 25, TimeUnit.SECONDS);
redisTemplate.executePipelined(new RedisCallback<List<Map<String, String>>>() {
@Override
public List<Map<String, String>> doInRedis(RedisConnection connection) throws DataAccessException {
Iterator<Map.Entry<String, Map<String, String>>> iterator = batchMap.entries().iterator();
while (iterator.hasNext()) {
Map.Entry<String, Map<String, String>> hash = iterator.next();
// 哈希名,即表名
byte[] hashName = redisTemplate.getStringSerializer().serialize(hash.getKey());
Map<String, String> hashValues = hash.getValue();
Iterator<Map.Entry<String, String>> it = hashValues.entrySet().iterator();
// 将元素序列化后缓存，即表的多条哈希记录
Map<byte[], byte[]> hashes = new HashMap<byte[], byte[]>();
while (it.hasNext()) {
// hash中一条key-value记录
Map.Entry<String, String> entry = it.next();
byte[] key = redisTemplate.getStringSerializer().serialize(entry.getKey());
byte[] value = redisTemplate.getStringSerializer().serialize(entry.getValue());
hashes.put(key, value);
}
// 批量保存
connection.hMSet(hashName, hashes);
}
return null;
}
});
}
/**
* 保存多个哈希表（HashMap）(Redis键名不可以重复)
*
* @param dataMap Map<Redis键名,Map<哈希键,哈希值>>
*/
public static void batchHashMapSet(Map<String, Map<String, String>> dataMap) {
// 设置5秒超时时间
redisTemplate.expire("max", 25, TimeUnit.SECONDS);
redisTemplate.executePipelined(new RedisCallback<List<Map<String, String>>>() {
@Override
public List<Map<String, String>> doInRedis(RedisConnection connection) throws DataAccessException {
Iterator<Map.Entry<String, Map<String, String>>> iterator = dataMap.entrySet().iterator();
while (iterator.hasNext()) {
Map.Entry<String, Map<String, String>> hash = iterator.next();
// 哈希名,即表名
byte[] hashName = redisTemplate.getStringSerializer().serialize(hash.getKey());
Map<String, String> hashValues = hash.getValue();
Iterator<Map.Entry<String, String>> it = hashValues.entrySet().iterator();
// 将元素序列化后缓存，即表的多条哈希记录
Map<byte[], byte[]> hashes = new HashMap<byte[], byte[]>();
while (it.hasNext()) {
// hash中一条key-value记录
Map.Entry<String, String> entry = it.next();
byte[] key = redisTemplate.getStringSerializer().serialize(entry.getKey());
byte[] value = redisTemplate.getStringSerializer().serialize(entry.getValue());
hashes.put(key, value);
}
// 批量保存
connection.hMSet(hashName, hashes);
}
return null;
}
});
}
/**
* 保存多个哈希表（HashMap）列表（哈希map的Redis键名不能重复）
*
* @param list Map<Redis键名,Map<哈希键,哈希值>>
* @see RedisUtils*.batchHashMapSet()*
*/
public static void batchHashMapListSet(List<Map<String, Map<String, String>>> list) {
// 设置5秒超时时间
redisTemplate.expire("max", 25, TimeUnit.SECONDS);
redisTemplate.executePipelined(new RedisCallback<List<Map<String, String>>>() {
@Override
public List<Map<String, String>> doInRedis(RedisConnection connection) throws DataAccessException {
for (Map<String, Map<String, String>> dataMap : list) {
Iterator<Map.Entry<String, Map<String, String>>> iterator = dataMap.entrySet().iterator();
while (iterator.hasNext()) {
Map.Entry<String, Map<String, String>> hash = iterator.next();
// 哈希名,即表名
byte[] hashName = redisTemplate.getStringSerializer().serialize(hash.getKey());
Map<String, String> hashValues = hash.getValue();
Iterator<Map.Entry<String, String>> it = hashValues.entrySet().iterator();
// 将元素序列化后缓存，即表的多条哈希记录
Map<byte[], byte[]> hashes = new HashMap<byte[], byte[]>();
while (it.hasNext()) {
// hash中一条key-value记录
Map.Entry<String, String> entry = it.next();
byte[] key = redisTemplate.getStringSerializer().serialize(entry.getKey());
byte[] value = redisTemplate.getStringSerializer().serialize(entry.getValue());
hashes.put(key, value);
}
// 批量保存
connection.hMSet(hashName, hashes);
}
}
return null;
}
});
}
}
五、创建接口测试
TestRestController增加接口/testredis
@RequestMapping(value = "/testredis", method = RequestMethod.GET)
public WebResult testRedis() {
RedisUtils.set("test","aaaaa");
return WebResult.ok(RedisUtils.get("test"));
}
