SpringCloud Gateway 路由转发性能优化

接上篇,通过测试验证,发现随着路由增长,路由性能会严重下降。
本篇,针对采用 Path 方式路由的进行性能优化,注意该【优化】仅适用于特定场景,不具备普适性。
查阅源码
通过阅读
RoutePredicateHandlerMapping.java
这个类是 SpringCloud Gateway 接收 Web 请求,并查找匹配路由,具体方法为:
protected Mono<Route> lookupRoute(ServerWebExchange exchange) { return this.routeLocator.getRoutes() // individually filter routes so that filterWhen error delaying is not a // problem .concatMap(route -> Mono.just(route).filterWhen(r -> { // add the current route we are testing exchange.getAttributes().put(GATEWAY_PREDICATE_ROUTE_ATTR, r.getId()); return r.getPredicate().apply(exchange); }) // instead of immediately stopping main flux due to error, log and // swallow it .doOnError(e -> logger.error("Error applying predicate for route: " + route.getId(), e)) .onErrorResume(e -> Mono.empty())) // .defaultIfEmpty() put a static Route not found // or .switchIfEmpty() // .switchIfEmpty(Mono.<Route>empty().log("noroute")) .next() // TODO: error handling .map(route -> { if (logger.isDebugEnabled()) { logger.debug("Route matched: " + route.getId()); } validateRoute(route, exchange); return route; }); /* * TODO: trace logging if (logger.isTraceEnabled()) { * logger.trace("RouteDefinition did not match: " + routeDefinition.getId()); } */}如果对源码简单做一下修改,比如,Path 匹配 /mock/** 则对路由查找结果进行缓存(注意这里缓存策略和方式仅仅是举例,根据实际需求情况来做)
public static final String MOCK_PATCH = "/mock/**";private Map<String, Route> hashCache = new ConcurrentHashMap<>(1024);
protected Mono<Route> lookupRoute(ServerWebExchange exchange) { String path = exchange.getRequest().getPath().subPath(0).value(); //符合Path规则,优先从缓存Map获取,时间复杂度近似于O(1) if (pathMatcher.match(MOCK_PATCH, path)) { return Mono.justOrEmpty(hashCache.get(path)) .switchIfEmpty(getRouteMono(exchange, path)); } return getRouteMono(exchange, path);}
private Mono<Route> getRouteMono(ServerWebExchange exchange, String path) { return this.routeLocator.getRoutes() // individually filter routes so that filterWhen error delaying is not a // problem .concatMap(route -> Mono.just(route).filterWhen(r -> { // add the current route we are testing exchange.getAttributes().put(GATEWAY_PREDICATE_ROUTE_ATTR, r.getId()); return r.getPredicate().apply(exchange); }) // instead of immediately stopping main flux due to error, log and // swallow it .doOnError(e -> logger.error("Error applying predicate for route: " + route.getId(), e)) .onErrorResume(e -> Mono.empty())) // .defaultIfEmpty() put a static Route not found // or .switchIfEmpty() // .switchIfEmpty(Mono.<Route>empty().log("noroute")) .next() // TODO: error handling .map(route -> { if (logger.isDebugEnabled()) { logger.debug("Route matched: " + route.getId()); } validateRoute(route, exchange); //符合Path规则,缓存路由 if (pathMatcher.match(MOCK_PATCH, path)) { hashCache.put(path, route); } return route; });}继续翻阅源码,找到RoutePredicateHandlerMapping 是如何装配的。
在GatewayAutoConfiguration 中实现了 SpringCloud Gateway 内部组件的自动装配,RoutePredicateHandlerMapping 也在其中,代码入下:
@Beanpublic RoutePredicateHandlerMapping routePredicateHandlerMapping(FilteringWebHandler webHandler, RouteLocator routeLocator, GlobalCorsProperties globalCorsProperties, Environment environment) { return new RoutePredicateHandlerMapping(webHandler, routeLocator, globalCorsProperties, environment);}很遗憾,官方没有给这个自动装配添加条件,我们无法自行装配替代默认装配。
我们只能采取以下步骤:
在 Springboot 启动类上增加排除 GatewayAutoConfiguration 的自动装配配置;
继承 GatewayAutoConfiguration 并完全拷贝其装配条件;
覆盖父类 routePredicateHandlerMapping 方法,给装配添加条件;
继承RoutePredicateHandlerMapping ,覆盖其 lookupRoute 方法,符合一定条件的请求,优先从缓存中查找路由。
改造 Gateway
修改启动类
@SpringBootApplication(exclude = GatewayConfiguration.class)public class GatewayApplication { public static void main(String[] args) { SpringApplication.run(GatewayApplication.class, args); }}继承 GatewayAutoConfiguration
@Configuration(proxyBeanMethods = false)@ConditionalOnProperty(name = "spring.cloud.gateway.enabled", matchIfMissing = true)@EnableConfigurationProperties@AutoConfigureBefore({HttpHandlerAutoConfiguration.class, WebFluxAutoConfiguration.class})@AutoConfigureAfter({GatewayLoadBalancerClientAutoConfiguration.class, GatewayClassPathWarningAutoConfiguration.class})@ConditionalOnClass(DispatcherHandler.class)public class CustomGatewayAutoConfiguration extends GatewayAutoConfiguration { // 实现自定义的RoutePredicateHandlerMapping装配 @Bean public CustomRoutePredicateHandlerMapping customRoutePredicateHandlerMapping( // 通过@Qualifier 制定装配的缓存管理器 @Qualifier("routeCacheManager") CacheManager routeCacheManager, FilteringWebHandler webHandler, RouteLocator routeLocator, GlobalCorsProperties globalCorsProperties, Environment environment) { return new CustomRoutePredicateHandlerMapping( cacheManager, webHandler, routeLocator, globalCorsProperties, environment); } // 覆盖父类同名方法,增加使之失效的条件 @Bean @ConditionalOnMissingBean(RoutePredicateHandlerMapping.class) public RoutePredicateHandlerMapping routePredicateHandlerMapping(FilteringWebHandler webHandler, RouteLocator routeLocator, GlobalCorsProperties globalCorsProperties, Environment environment) { return new RoutePredicateHandlerMapping(webHandler, routeLocator, globalCorsProperties, environment); }}继承 RoutePredicateHandlerMapping
public class CustomRoutePredicateHandlerMapping extends RoutePredicateHandlerMapping {
private final Cache specialCache;
public CustomRoutePredicateHandlerMapping( CacheManager cacheManager, FilteringWebHandler webHandler, RouteLocator routeLocator, GlobalCorsProperties globalCorsProperties, Environment environment) { super(webHandler, routeLocator, globalCorsProperties, environment); specialCache = cacheManager.getCache("specialRouteCache"); }
@Override protected Mono<Route> lookupRoute(ServerWebExchange exchange) { //1. 从exchange中获取请求特征,如path //2. 如果符合特征 则使用缓存,从缓存获取,如果缓存未命中, // 调用 super.lookupRoute(exchange) 并加入缓存 //3. 不符合特征的,直接调用
// 下面演示使用 caffeine 缓存的方式 String specialPath = exchange.getRequest().getPath().subPath(0).value(); // 判断path是否符合缓存规则(一般而言用于仅采用Path断言,或简单结合header或query的情况,下面以只有path为例) if (checkPath(specialPath)) { return CacheMono // 查找缓存 .lookup( key -> Mono.justOrEmpty(specialCache.get(key, Route.class)).map(Signal::next), toKey(specialPath)) // 未命中直接查找路由表 .onCacheMissResume( () -> super.lookupRoute(exchange)) // 然后写到缓存 .andWriteWith( (key, signal) -> Mono.fromRunnable( () -> Optional.ofNullable(signal.get()) .ifPresent(value -> specialCache.put(key, value)) )); } return super.lookupRoute(exchange); }
/** * 校验请求特征的方法,此处仅是举例 */ private boolean checkPath(String path) { return true; }
/** * 生成cacheKey的方式,此处仅是举例 */ private String toKey(String specialPath) { return specialPath; }}缓存管理配置
@Configuration@AutoConfigureBefore(CustomGatewayAutoConfiguration.class)public class CacheManagerConfiguration {
@Bean @Primary public CacheManager defaultCacheManager() { CaffeineCacheManager cacheManager = new CaffeineCacheManager(); CaffeineSpec spec = CaffeineSpec .parse("initialCapacity=64,maximumSize=512,expireAfterWrite=300s"); cacheManager.setCacheNames(null); return cacheManager; }
@Bean public CacheManager routeCacheManager() { CaffeineCacheManager cacheManager = new CaffeineCacheManager(); CaffeineSpec spec = CaffeineSpec .parse("initialCapacity=512,maximumSize=2048,expireAfterWrite=3000s"); cacheManager.setCacheNames(null); return cacheManager; }}以上就简单实现了对 Gateway 的改造,结合业务场景进行具体的性能优化即可,优化后,在路由表较大时(大于 5000 条)能较为明显的提升网关路由性能。
备用改造方案(不推荐该方式)
查阅GatewayAutoConfiguration 源码,类定义头部有一个装配条件:
@Configuration(proxyBeanMethods = false)// 该条件可以作为装配点@ConditionalOnProperty(name = "spring.cloud.gateway.enabled", matchIfMissing = true)@EnableConfigurationProperties@AutoConfigureBefore({ HttpHandlerAutoConfiguration.class, WebFluxAutoConfiguration.class })@AutoConfigureAfter({ GatewayReactiveLoadBalancerClientAutoConfiguration.class, GatewayClassPathWarningAutoConfiguration.class })@ConditionalOnClass(DispatcherHandler.class)public class GatewayAutoConfiguration可以在配置文件中配置
spring.cloud.gateway.enabled=false然后将GatewayAutoConfiguration 拷贝到我们自己的工程中,去掉装配条件
// @ConditionalOnProperty(name = "spring.cloud.gateway.enabled", matchIfMissing = true)同样的,我们需要找到所有依赖此条件装配的类,进行上述操作
至此修改完成,可以进行下一步测试验证。
测试结果
通过以上图表对比,可以发现,改造后,路由转发性能与路由表大小没有直接关联关系了,性能得到了较大提升。
源码下载
https://gitee.com/eblog/scgw-benchmark-all
https://gitee.com/eblog/scg-dynamic-route
测试记录
直连对照组
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 990.298 ± 219.989 ops/sMyBenchmark.testMethod avgt 20 0.002 ± 0.001 s/opMyBenchmark.testMethod sample 20205 0.002 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.001 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.002 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.003 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.003 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.011 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.017 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.017 s/opMyBenchmark.testMethod ss 20 0.002 ± 0.001 s/op100 条路由(老版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 769.948 ± 112.572 ops/sMyBenchmark.testMethod avgt 20 0.003 ± 0.001 s/opMyBenchmark.testMethod sample 15364 0.003 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.002 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.002 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.008 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.015 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.015 s/opMyBenchmark.testMethod ss 20 0.003 ± 0.001 s/op100 条路由(新版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 769.099 ± 110.400 ops/sMyBenchmark.testMethod avgt 20 0.003 ± 0.001 s/opMyBenchmark.testMethod sample 15541 0.003 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.002 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.002 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.003 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.008 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.012 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.012 s/opMyBenchmark.testMethod ss 20 0.003 ± 0.001 s/op1K 条路由(老版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 759.265 ± 106.047 ops/sMyBenchmark.testMethod avgt 20 0.003 ± 0.001 s/opMyBenchmark.testMethod sample 15245 0.003 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.001 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.003 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.003 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.007 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.014 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.015 s/opMyBenchmark.testMethod ss 20 0.003 ± 0.001 s/op1K 条路由(新版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 772.978 ± 102.976 ops/sMyBenchmark.testMethod avgt 20 0.003 ± 0.001 s/opMyBenchmark.testMethod sample 15101 0.003 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.002 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.003 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.003 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.007 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.016 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.016 s/opMyBenchmark.testMethod ss 20 0.003 ± 0.001 s/op5K 条路由(老版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 232.624 ± 3.330 ops/sMyBenchmark.testMethod avgt 20 0.008 ± 0.001 s/opMyBenchmark.testMethod sample 4734 0.009 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.008 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.008 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.009 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.009 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.011 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.015 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.016 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.016 s/opMyBenchmark.testMethod ss 20 0.009 ± 0.001 s/op5K 条路由(新版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 783.074 ± 112.114 ops/sMyBenchmark.testMethod avgt 20 0.003 ± 0.001 s/opMyBenchmark.testMethod sample 15318 0.003 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.001 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.002 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.007 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.017 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.017 s/opMyBenchmark.testMethod ss 20 0.003 ± 0.001 s/op1W 条路由(老版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 122.122 ± 1.789 ops/sMyBenchmark.testMethod avgt 20 0.016 ± 0.001 s/opMyBenchmark.testMethod sample 2464 0.016 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.015 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.016 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.017 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.018 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.018 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.029 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.030 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.030 s/opMyBenchmark.testMethod ss 20 0.017 ± 0.001 s/op1W 条路由(新版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 775.200 ± 121.410 ops/sMyBenchmark.testMethod avgt 20 0.003 ± 0.001 s/opMyBenchmark.testMethod sample 15261 0.003 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.001 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.003 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.003 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.007 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.014 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.014 s/opMyBenchmark.testMethod ss 20 0.003 ± 0.001 s/op10W 条路由(老版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 12.765 ± 0.338 ops/sMyBenchmark.testMethod avgt 20 0.159 ± 0.006 s/opMyBenchmark.testMethod sample 260 0.153 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.147 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.152 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.157 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.159 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.163 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.167 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.167 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.167 s/opMyBenchmark.testMethod ss 20 0.155 ± 0.002 s/op10W 条路由(新版本)
Benchmark Mode Cnt Score Error UnitsMyBenchmark.testMethod thrpt 20 774.979 ± 115.501 ops/sMyBenchmark.testMethod avgt 20 0.003 ± 0.001 s/opMyBenchmark.testMethod sample 15422 0.003 ± 0.001 s/opMyBenchmark.testMethod:testMethod·p0.00 sample 0.002 s/opMyBenchmark.testMethod:testMethod·p0.50 sample 0.002 s/opMyBenchmark.testMethod:testMethod·p0.90 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.95 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.99 sample 0.004 s/opMyBenchmark.testMethod:testMethod·p0.999 sample 0.005 s/opMyBenchmark.testMethod:testMethod·p0.9999 sample 0.011 s/opMyBenchmark.testMethod:testMethod·p1.00 sample 0.012 s/opMyBenchmark.testMethod ss 20 0.003 ± 0.001 s/op版权声明: 本文为 InfoQ 作者【Aaron】的原创文章。
原文链接:【http://xie.infoq.cn/article/bebacc42bad0712638ba3231e】。文章转载请联系作者。
Aaron
老骥伏枥 2019.06.29 加入
一个立志做一辈子程序员的搬砖工人。











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