代码提交

liusheng

5 天以前 6659135780e718758417efde4c8c351c69e3755b

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
package com.ruoyi.framework.config;
 
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.script.DefaultRedisScript;
import org.springframework.data.redis.serializer.StringRedisSerializer;
 
import java.time.Duration;
import java.util.HashMap;
import java.util.Map;
 
/**
 * redis配置
 *
 * @author ruoyi
 */
@Configuration
@EnableCaching
public class RedisConfig extends CachingConfigurerSupport {
    @Bean
    @SuppressWarnings(value = {"unchecked", "rawtypes"})
    public RedisTemplate<Object, Object> redisTemplate(RedisConnectionFactory connectionFactory) {
        RedisTemplate<Object, Object> template = new RedisTemplate<>();
        template.setConnectionFactory(connectionFactory);
 
        FastJson2JsonRedisSerializer serializer = new FastJson2JsonRedisSerializer(Object.class);
 
        // 使用StringRedisSerializer来序列化和反序列化redis的key值
        template.setKeySerializer(new StringRedisSerializer());
        template.setValueSerializer(serializer);
 
        // Hash的key也采用StringRedisSerializer的序列化方式
        template.setHashKeySerializer(new StringRedisSerializer());
        template.setHashValueSerializer(serializer);
 
        template.afterPropertiesSet();
        return template;
    }
 
    @Bean
    public RedisCacheManager cacheManager(RedisConnectionFactory connectionFactory) {
        // 默认缓存配置（其他 cache 使用）
        RedisCacheConfiguration defaultConfig = RedisCacheConfiguration.defaultCacheConfig();
        // 单独为 sfStatistics 设置 20 分钟 TTL
        Map<String, RedisCacheConfiguration> configMap = new HashMap<>();
        configMap.put("sfStatistics", defaultConfig.entryTtl(Duration.ofMinutes(20)));
        configMap.put("sfStatisticsJoy", defaultConfig.entryTtl(Duration.ofMinutes(20)));
        configMap.put("selectPatMedOuthospList", defaultConfig.entryTtl(Duration.ofMinutes(20)));
        return RedisCacheManager.builder(connectionFactory).cacheDefaults(defaultConfig).withInitialCacheConfigurations(configMap).build();
    }
 
    @Bean
    public DefaultRedisScript<Long> limitScript() {
        DefaultRedisScript<Long> redisScript = new DefaultRedisScript<>();
        redisScript.setScriptText(limitScriptText());
        redisScript.setResultType(Long.class);
        return redisScript;
    }
 
    /**
     * 限流脚本
     */
    private String limitScriptText() {
        return "local key = KEYS[1]\n" + "local count = tonumber(ARGV[1])\n" + "local time = tonumber(ARGV[2])\n" + "local current = redis.call('get', key);\n" + "if current and tonumber(current) > count then\n" + "    return tonumber(current);\n" + "end\n" + "current = redis.call('incr', key)\n" + "if tonumber(current) == 1 then\n" + "    redis.call('expire', key, time)\n" + "end\n" + "return tonumber(current);";
    }
}