Rumah >pangkalan data >Redis >Cara menggunakan AOP+redis+lua untuk pengehadan semasa
Syarikat menggunakan kaedah OneByOne untuk memadamkan data Untuk mengelakkan terlalu banyak data daripada dipadamkan dalam tempoh masa, izinkan saya membuat had semasa antara muka di sini melebihi ambang tertentu, pengecualian akan dilaporkan dan ditamatkan operasi pemadaman.
Buat anotasi tersuai
@limit
untuk membolehkan pengguna mengkonfigurasicount(一定时间内最多访问次数)
danperiod(给定的时间范围)
jika perlu, iaitu kekerapan akses. Kemudian memintas permintaan kaedah melaluiLimitInterceptor
, dan mengawal kekerapan akses melalui skrip redis+lua.
Digunakan untuk mengkonfigurasi kiraan kekerapan akses dan tempoh kaedah
import javax.validation.constraints.Min; import java.lang.annotation.*; @Target({ElementType.METHOD, ElementType.TYPE}) @Retention(RetentionPolicy.RUNTIME) @Inherited @Documented public @interface Limit { /** * key */ String key() default ""; /** * Key的前缀 */ String prefix() default ""; /** * 一定时间内最多访问次数 */ @Min(1) int count(); /** * 给定的时间范围 单位(秒) */ @Min(1) int period(); /** * 限流的类型(用户自定义key或者请求ip) */ LimitType limitType() default LimitType.CUSTOMER; }
digunakan untuk menandakan parameter sebagai sebahagian daripada nilai kunci redis
import java.lang.annotation.ElementType; import java.lang.annotation.Retention; import java.lang.annotation.RetentionPolicy; import java.lang.annotation.Target; @Target(ElementType.PARAMETER) @Retention(RetentionPolicy.RUNTIME) public @interface LimitKey { }
penghitungan, jenis nilai kunci redis , menyokong penyesuaian Dapatkan kunci daripada kunci, ip dan methodName
public enum LimitType { /** * 自定义key */ CUSTOMER, /** * 请求者IP */ IP, /** * 方法名称 */ METHOD_NAME; }
Mulakan redisTemplate Bean yang digunakan untuk mengehadkan semasa
import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.StringRedisTemplate; import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.StringRedisSerializer; import java.io.Serializable; @Configuration public class RedisLimiterHelper { @Bean public RedisTemplate<String, Serializable> limitRedisTemplate(@Qualifier("defaultStringRedisTemplate") StringRedisTemplate redisTemplate) { RedisTemplate<String, Serializable> template = new RedisTemplate<String, Serializable>(); template.setKeySerializer(new StringRedisSerializer()); template.setValueSerializer(new GenericJackson2JsonRedisSerializer()); template.setConnectionFactory(redisTemplate.getConnectionFactory()); return template; } }
import com.google.common.collect.ImmutableList; import com.yxt.qida.api.bean.service.xxv2.openapi.anno.Limit; import com.yxt.qida.api.bean.service.xxv2.openapi.anno.LimitKey; import com.yxt.qida.api.bean.service.xxv2.openapi.anno.LimitType; import lombok.extern.slf4j.Slf4j; import org.apache.commons.lang3.ArrayUtils; import org.apache.commons.lang3.StringUtils; import org.aspectj.lang.ProceedingJoinPoint; import org.aspectj.lang.annotation.Around; import org.aspectj.lang.annotation.Aspect; import org.aspectj.lang.reflect.MethodSignature; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.context.annotation.Configuration; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.script.DefaultRedisScript; import org.springframework.data.redis.core.script.RedisScript; import org.springframework.web.context.request.RequestContextHolder; import org.springframework.web.context.request.ServletRequestAttributes; import javax.servlet.http.HttpServletRequest; import java.io.Serializable; import java.lang.annotation.Annotation; import java.lang.reflect.Method; @Slf4j @Aspect @Configuration public class LimitInterceptor { private static final String UNKNOWN = "unknown"; private final RedisTemplate<String, Serializable> limitRedisTemplate; @Autowired public LimitInterceptor(RedisTemplate<String, Serializable> limitRedisTemplate) { this.limitRedisTemplate = limitRedisTemplate; } @Around("execution(public * *(..)) && @annotation(com.yxt.qida.api.bean.service.xxv2.openapi.anno.Limit)") public Object interceptor(ProceedingJoinPoint pjp) { MethodSignature signature = (MethodSignature) pjp.getSignature(); Method method = signature.getMethod(); Limit limitAnnotation = method.getAnnotation(Limit.class); LimitType limitType = limitAnnotation.limitType(); int limitPeriod = limitAnnotation.period(); int limitCount = limitAnnotation.count(); /** * 根据限流类型获取不同的key ,如果不传我们会以方法名作为key */ String key; switch (limitType) { case IP: key = getIpAddress(); break; case CUSTOMER: key = limitAnnotation.key(); break; case METHOD_NAME: String methodName = method.getName(); key = StringUtils.upperCase(methodName); break; default: throw new RuntimeException("limitInterceptor - 无效的枚举值"); } /** * 获取注解标注的 key,这个是优先级最高的,会覆盖前面的 key 值 */ Object[] args = pjp.getArgs(); Annotation[][] paramAnnoAry = method.getParameterAnnotations(); for (Annotation[] item : paramAnnoAry) { int paramIndex = ArrayUtils.indexOf(paramAnnoAry, item); for (Annotation anno : item) { if (anno instanceof LimitKey) { Object arg = args[paramIndex]; if (arg instanceof String && StringUtils.isNotBlank((String) arg)) { key = (String) arg; break; } } } } if (StringUtils.isBlank(key)) { throw new RuntimeException("limitInterceptor - key值不能为空"); } String prefix = limitAnnotation.prefix(); String[] keyAry = StringUtils.isBlank(prefix) ? new String[]{"limit", key} : new String[]{"limit", prefix, key}; ImmutableList<String> keys = ImmutableList.of(StringUtils.join(keyAry, "-")); try { String luaScript = buildLuaScript(); RedisScript<Number> redisScript = new DefaultRedisScript<Number>(luaScript, Number.class); Number count = limitRedisTemplate.execute(redisScript, keys, limitCount, limitPeriod); if (count != null && count.intValue() <= limitCount) { return pjp.proceed(); } else { String classPath = method.getDeclaringClass().getName() + "." + method.getName(); throw new RuntimeException("limitInterceptor - 限流被触发:" + "class:" + classPath + ", keys:" + keys + ", limitcount:" + limitCount + ", limitPeriod:" + limitPeriod + "s"); } } catch (Throwable e) { if (e instanceof RuntimeException) { throw new RuntimeException(e.getLocalizedMessage()); } throw new RuntimeException("limitInterceptor - 限流服务异常"); } } /** * lua 脚本,为了保证执行 redis 命令的原子性 */ public String buildLuaScript() { StringBuilder lua = new StringBuilder(); lua.append("local c"); lua.append("\nc = redis.call('get',KEYS[1])"); // 调用不超过最大值,则直接返回 lua.append("\nif c and tonumber(c) > tonumber(ARGV[1]) then"); lua.append("\nreturn c;"); lua.append("\nend"); // 执行计算器自加 lua.append("\nc = redis.call('incr',KEYS[1])"); lua.append("\nif tonumber(c) == 1 then"); // 从第一次调用开始限流,设置对应键值的过期 lua.append("\nredis.call('expire',KEYS[1],ARGV[2])"); lua.append("\nend"); lua.append("\nreturn c;"); return lua.toString(); } public String getIpAddress() { HttpServletRequest request = ((ServletRequestAttributes) RequestContextHolder.getRequestAttributes()).getRequest(); String ip = request.getHeader("x-forwarded-for"); if (ip == null || ip.length() == 0 || UNKNOWN.equalsIgnoreCase(ip)) { ip = request.getHeader("Proxy-Client-IP"); } if (ip == null || ip.length() == 0 || UNKNOWN.equalsIgnoreCase(ip)) { ip = request.getHeader("WL-Proxy-Client-IP"); } if (ip == null || ip.length() == 0 || UNKNOWN.equalsIgnoreCase(ip)) { ip = request.getRemoteAddr(); } return ip; } }
Gunakan aop untuk memintas permintaan dan mengawal kekerapan akses
@Limit(period = 10, count = 10) public String delUserByUrlTest(@LimitKey String token, String thirdId, String url) throws IOException { return "success"; }
rreeeContoh penggunaan
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