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fix: Optimization of Rate Limiting Logic for Cluster, AI Token and WASM Plugin (#2997)
This commit is contained in:
@@ -46,17 +46,30 @@ func init() {
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const (
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// RedisKeyPrefix 集群限流插件在 Redis 中 key 的统一前缀
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RedisKeyPrefix = "higress-cluster-key-rate-limit"
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// ClusterGlobalRateLimitFormat 全局限流模式 redis key 为 RedisKeyPrefix:限流规则名称:global_threshold:时间窗口:窗口内限流数
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ClusterGlobalRateLimitFormat = RedisKeyPrefix + ":%s:global_threshold:%d:%d"
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// ClusterRateLimitFormat 规则限流模式 redis key 为 RedisKeyPrefix:限流规则名称:限流类型:时间窗口:窗口内限流数:限流key名称:限流key对应的实际值
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ClusterRateLimitFormat = RedisKeyPrefix + ":%s:%s:%d:%d:%s:%s"
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// ClusterGlobalRateLimitFormat 全局限流模式 redis key 为 RedisKeyPrefix:限流规则名称:global_threshold:时间窗口
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ClusterGlobalRateLimitFormat = RedisKeyPrefix + ":%s:global_threshold:%d"
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// ClusterRateLimitFormat 规则限流模式 redis key 为 RedisKeyPrefix:限流规则名称:限流类型:时间窗口:限流key名称:限流key对应的实际值
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ClusterRateLimitFormat = RedisKeyPrefix + ":%s:%s:%d:%s:%s"
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FixedWindowScript = `
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local ttl = redis.call('ttl', KEYS[1])
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if ttl < 0 then
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redis.call('set', KEYS[1], ARGV[1] - 1, 'EX', ARGV[2])
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return {ARGV[1], ARGV[1] - 1, ARGV[2]}
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end
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return {ARGV[1], redis.call('incrby', KEYS[1], -1), ttl}
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local key = KEYS[1]
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local threshold = tonumber(ARGV[1])
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local window = tonumber(ARGV[2])
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local current = tonumber(redis.call('get', key) or "0")
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-- 只有超过阈值时才停止累加,达到阈值时仍允许(此时是最后一次允许)
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if current > threshold then
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return {threshold, current, redis.call('ttl', key)}
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end
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-- 计数未超过阈值,执行累加
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current = redis.call('incr', key)
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-- 第一次累加时设置过期时间
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if current == 1 then
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redis.call('expire', key, window)
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end
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return {threshold, current, redis.call('ttl', key)}
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`
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LimitContextKey = "LimitContext" // 限流上下文信息
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@@ -92,7 +105,7 @@ func onHttpRequestHeaders(ctx wrapper.HttpContext, cfg config.ClusterKeyRateLimi
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if cfg.GlobalThreshold != nil {
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// 全局限流模式
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limitKey = fmt.Sprintf(ClusterGlobalRateLimitFormat, cfg.RuleName, cfg.GlobalThreshold.TimeWindow, cfg.GlobalThreshold.Count)
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limitKey = fmt.Sprintf(ClusterGlobalRateLimitFormat, cfg.RuleName, cfg.GlobalThreshold.TimeWindow)
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count = cfg.GlobalThreshold.Count
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timeWindow = cfg.GlobalThreshold.TimeWindow
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} else {
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@@ -103,7 +116,7 @@ func onHttpRequestHeaders(ctx wrapper.HttpContext, cfg config.ClusterKeyRateLimi
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return types.ActionContinue
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}
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limitKey = fmt.Sprintf(ClusterRateLimitFormat, cfg.RuleName, ruleItem.LimitType, configItem.TimeWindow, configItem.Count, ruleItem.Key, val)
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limitKey = fmt.Sprintf(ClusterRateLimitFormat, cfg.RuleName, ruleItem.LimitType, configItem.TimeWindow, ruleItem.Key, val)
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count = configItem.Count
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timeWindow = configItem.TimeWindow
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}
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@@ -118,12 +131,15 @@ func onHttpRequestHeaders(ctx wrapper.HttpContext, cfg config.ClusterKeyRateLimi
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proxywasm.ResumeHttpRequest()
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return
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}
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// 获取限流结果
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threshold, current, ttl := resultArray[0].Integer(), resultArray[1].Integer(), resultArray[2].Integer()
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context := LimitContext{
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count: resultArray[0].Integer(),
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remaining: resultArray[1].Integer(),
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reset: resultArray[2].Integer(),
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count: threshold,
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remaining: threshold - current,
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reset: ttl,
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}
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if context.remaining < 0 {
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if current > threshold {
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// 触发限流
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rejected(cfg, context)
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} else {
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@@ -15,10 +15,11 @@
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package main
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import (
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"cluster-key-rate-limit/config"
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"encoding/json"
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"testing"
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"cluster-key-rate-limit/config"
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"github.com/higress-group/proxy-wasm-go-sdk/proxywasm/types"
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"github.com/higress-group/wasm-go/pkg/test"
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"github.com/stretchr/testify/require"
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@@ -527,9 +528,16 @@ func TestOnHttpRequestHeaders(t *testing.T) {
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require.Equal(t, types.HeaderStopAllIterationAndWatermark, action)
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// 模拟 Redis 调用响应(触发限流)
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resp := test.CreateRedisRespArray([]interface{}{1000, -1, 60})
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// 当前请求数(1001)超过阈值(1000),触发限流
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resp := test.CreateRedisRespArray([]interface{}{1000, 1001, 60})
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host.CallOnRedisCall(0, resp)
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// 检查是否发送了限流响应
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localResponse := host.GetLocalResponse()
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require.NotNil(t, localResponse)
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require.Equal(t, uint32(429), localResponse.StatusCode)
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require.Contains(t, string(localResponse.Data), "Too many requests")
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host.CompleteHttp()
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})
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})
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@@ -641,7 +649,7 @@ func TestCompleteFlow(t *testing.T) {
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require.Equal(t, types.HeaderStopAllIterationAndWatermark, action)
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// 2. 模拟 Redis 调用响应
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resp := test.CreateRedisRespArray([]interface{}{1000, 999, 60})
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resp := test.CreateRedisRespArray([]interface{}{1000, 1, 60})
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host.CallOnRedisCall(0, resp)
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// 3. 处理响应头
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