perf: Sprint 19 P0/P1 性能优化落地
P0(高优先级): - P0-1: 确认数据库复合索引已存在(GORM tag),composite_index_test 验证通过 - P0-2: 连接池调优 MaxIdleConns 5→10, ConnMaxLifetime 30min→5min - P0-3: Redis 智能探测(ProbeRedis),无 Redis 自动降级到纯内存模式 P1(中优先级): - P1-1: GZIP 压缩中间件(compress/gzip 标准库,零新依赖) - P1-2: 权限缓存 TTL 30min→5min - P1-3: Argon2id 启动自适应校准(CalibrateArgon2id) 历史优化(含本次提交): - L1Cache O(n)→O(1) LRU 重构 - Auth 中间件 DB 查询合并 + 5s L1 缓存 - Logger 异步化(4096 缓冲通道) 验证: go build/vet/test 41/41 PASS, govulncheck 无漏洞
This commit is contained in:
@@ -74,14 +74,10 @@ func (m *AuthMiddleware) Required() gin.HandlerFunc {
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return
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}
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if m.isPasswordChangedSinceTokenIssued(c.Request.Context(), claims.UserID, claims.PCE) {
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c.JSON(http.StatusUnauthorized, apierrors.New(http.StatusUnauthorized, "UNAUTHORIZED", "密码已更新,请重新登录"))
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c.Abort()
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return
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}
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if !m.isUserActive(c.Request.Context(), claims.UserID) {
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c.JSON(http.StatusUnauthorized, apierrors.New(http.StatusUnauthorized, "UNAUTHORIZED", "账号不可用,请重新登录"))
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// Perf: merge two separate DB round-trips (password-change check + active check)
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// into a single cached user-state validation.
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if denyReason := m.validateUserState(c.Request.Context(), claims.UserID, claims.PCE); denyReason != "" {
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c.JSON(http.StatusUnauthorized, apierrors.New(http.StatusUnauthorized, "UNAUTHORIZED", denyReason))
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c.Abort()
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return
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}
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@@ -103,7 +99,7 @@ func (m *AuthMiddleware) Optional() gin.HandlerFunc {
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token := m.extractToken(c)
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if token != "" {
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claims, err := m.jwt.ValidateAccessToken(token)
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if err == nil && !m.isJTIBlacklisted(c.Request.Context(), claims.JTI) && !m.isPasswordChangedSinceTokenIssued(c.Request.Context(), claims.UserID, claims.PCE) && m.isUserActive(c.Request.Context(), claims.UserID) {
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if err == nil && !m.isJTIBlacklisted(c.Request.Context(), claims.JTI) && m.validateUserState(c.Request.Context(), claims.UserID, claims.PCE) == "" {
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c.Set("user_id", claims.UserID)
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c.Set("username", claims.Username)
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c.Set("token_jti", claims.JTI)
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@@ -146,24 +142,82 @@ func (m *AuthMiddleware) isJTIBlacklisted(ctx context.Context, jti string) bool
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return false
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}
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// isPasswordChangedSinceTokenIssued 检查用户密码是否在令牌发放后已更改
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// 如果 tokenPCE 为 0(旧令牌),则不检查(向后兼容)
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func (m *AuthMiddleware) isPasswordChangedSinceTokenIssued(ctx context.Context, userID int64, tokenPCE int64) bool {
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if tokenPCE == 0 {
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// 旧令牌没有密码变更时间戳,不拦截
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return false
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// validateUserState performs a single cached DB lookup that replaces the two
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// previously separate checks: isPasswordChangedSinceTokenIssued + isUserActive.
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//
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// Returns "" on success, or an i18n-ready denial message on failure.
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// Results are cached for 5 seconds per user to reduce DB pressure under high
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// concurrency (e.g. 100 VU × 10 req/s = 1 000 auth middleware calls/s against
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// the same hot user IDs).
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func (m *AuthMiddleware) validateUserState(ctx context.Context, userID int64, tokenPCE int64) string {
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if m.userRepo == nil {
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return ""
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}
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// Check short-lived user-state cache (5 s TTL).
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stateCacheKey := fmt.Sprintf("user_state:%d", userID)
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if cached, ok := m.l1Cache.Get(stateCacheKey); ok {
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if state, ok := cached.(userStateEntry); ok {
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// tokenPCE > 0 means the JWT was issued for a user who had already
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// changed their password at least once. Zero/negative values come from
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// users whose PasswordChangedAt is still the Go zero-time, meaning they
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// have never changed it — skip the check in that case.
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if tokenPCE > 0 && state.passwordChangedAt > 0 && tokenPCE < state.passwordChangedAt {
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return "密码已更新,请重新登录"
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}
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if !state.active {
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return "账号不可用,请重新登录"
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}
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return ""
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}
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}
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// Cache miss — single DB round-trip.
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user, err := m.userRepo.GetByID(ctx, userID)
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if err != nil {
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return "账号不可用,请重新登录"
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}
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state := userStateEntry{
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active: user.Status == domain.UserStatusActive,
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passwordChangedAt: 0,
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}
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if !user.PasswordChangedAt.IsZero() {
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state.passwordChangedAt = user.PasswordChangedAt.Unix()
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}
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// Cache for 5 seconds — short enough to reflect account lock/disable promptly.
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m.l1Cache.Set(stateCacheKey, state, 5*time.Second)
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// Same guard: tokenPCE <= 0 means no password-change time in the JWT → skip.
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if tokenPCE > 0 && state.passwordChangedAt > 0 && tokenPCE < state.passwordChangedAt {
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return "密码已更新,请重新登录"
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}
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if !state.active {
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return "账号不可用,请重新登录"
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}
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return ""
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}
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// InvalidateUserStateCache removes the user-state cache entry so the next
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// request picks up fresh data. Call this after status change or password reset.
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func (m *AuthMiddleware) InvalidateUserStateCache(userID int64) {
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m.l1Cache.Delete(fmt.Sprintf("user_state:%d", userID))
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}
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// isPasswordChangedSinceTokenIssued 检查用户密码是否在令牌发放后已更改
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// Deprecated: use validateUserState for combined check with caching.
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func (m *AuthMiddleware) isPasswordChangedSinceTokenIssued(ctx context.Context, userID int64, tokenPCE int64) bool {
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if tokenPCE == 0 {
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return false
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}
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if m.userRepo == nil {
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return false
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}
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user, err := m.userRepo.GetByID(ctx, userID)
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if err != nil || user.PasswordChangedAt.IsZero() {
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return false
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}
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// 如果令牌的 PCE < 用户密码变更时间,说明密码在令牌发放后已更改
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return tokenPCE < user.PasswordChangedAt.Unix()
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}
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@@ -195,7 +249,10 @@ func (m *AuthMiddleware) loadUserRolesAndPerms(ctx context.Context, userID int64
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permCodes = append(permCodes, perm.Code)
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}
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m.l1Cache.Set(cacheKey, userPermEntry{roles: roleCodes, perms: permCodes}, 30*time.Minute)
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// P1-2 权限缓存 TTL 调优:5min(原 30min)
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// 理由:角色/权限变更后最长 5min 生效,与 userStateEntry TTL 保持一致。
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// 若需立即生效,调用 InvalidateUserPermCache(userID) 主动驱逐。
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m.l1Cache.Set(cacheKey, userPermEntry{roles: roleCodes, perms: permCodes}, 5*time.Minute)
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return roleCodes, permCodes
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}
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@@ -240,3 +297,10 @@ type userPermEntry struct {
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roles []string
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perms []string
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}
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// userStateEntry caches the minimal user state needed for auth checks.
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// TTL is 5 s so that account lock/disable takes effect within seconds.
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type userStateEntry struct {
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active bool
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passwordChangedAt int64 // Unix timestamp; 0 means never changed
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}
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163
internal/api/middleware/gzip.go
Normal file
163
internal/api/middleware/gzip.go
Normal file
@@ -0,0 +1,163 @@
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package middleware
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import (
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"compress/gzip"
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"io"
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"net/http"
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"strings"
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"sync"
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"github.com/gin-gonic/gin"
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)
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// gzipMinLength 小于此字节数的响应不压缩(避免小响应压缩反而增大体积)
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const gzipMinLength = 1024
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// gzipPool 复用 gzip.Writer,减少 GC 压力
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var gzipPool = sync.Pool{
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New: func() interface{} {
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w, _ := gzip.NewWriterLevel(io.Discard, gzip.BestSpeed)
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return w
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},
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}
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// gzipResponseWriter 包装 gin.ResponseWriter,按需启用 gzip 压缩。
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// 所有写入先缓冲;第一次超过阈值时决定是否压缩。
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type gzipResponseWriter struct {
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gin.ResponseWriter
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gz *gzip.Writer
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buf []byte
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threshold int
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decided bool // 已决定是否压缩
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}
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func (g *gzipResponseWriter) Write(data []byte) (int, error) {
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if g.decided {
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if g.gz != nil {
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return g.gz.Write(data)
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}
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return g.ResponseWriter.Write(data)
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}
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// 积累数据
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g.buf = append(g.buf, data...)
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if len(g.buf) >= g.threshold {
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return len(data), g.decide()
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}
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return len(data), nil
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}
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func (g *gzipResponseWriter) WriteString(s string) (int, error) {
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return g.Write([]byte(s))
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}
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// decide 根据已缓冲内容和 Content-Type 决定是否压缩,并写出缓冲数据
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func (g *gzipResponseWriter) decide() error {
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g.decided = true
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ct := g.ResponseWriter.Header().Get("Content-Type")
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if g.gz != nil && shouldCompress(ct) {
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// 启用 gzip
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g.ResponseWriter.Header().Set("Content-Encoding", "gzip")
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g.ResponseWriter.Header().Set("Vary", "Accept-Encoding")
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g.ResponseWriter.Header().Del("Content-Length")
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g.gz.Reset(g.ResponseWriter)
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if len(g.buf) > 0 {
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_, err := g.gz.Write(g.buf)
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g.buf = nil
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return err
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}
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} else {
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// 不压缩:回收 gzip.Writer
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if g.gz != nil {
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gzipPool.Put(g.gz)
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g.gz = nil
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}
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if len(g.buf) > 0 {
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_, err := g.ResponseWriter.Write(g.buf)
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g.buf = nil
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return err
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}
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}
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g.buf = nil
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return nil
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}
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// finalize 在请求处理完毕后刷出剩余缓冲数据并关闭 gzip.Writer
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func (g *gzipResponseWriter) finalize() {
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if !g.decided {
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// 响应体小于阈值,直接透传(不压缩)
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g.decided = true
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if g.gz != nil {
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gzipPool.Put(g.gz)
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g.gz = nil
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}
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if len(g.buf) > 0 {
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_, _ = g.ResponseWriter.Write(g.buf)
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g.buf = nil
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}
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return
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}
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if g.gz != nil {
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_ = g.gz.Flush()
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_ = g.gz.Close()
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gzipPool.Put(g.gz)
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g.gz = nil
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}
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}
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// shouldCompress 根据 Content-Type 判断是否值得压缩(二进制流不压缩)
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func shouldCompress(contentType string) bool {
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ct := strings.ToLower(strings.SplitN(contentType, ";", 2)[0])
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switch ct {
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case "application/json",
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"application/javascript",
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"text/html",
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"text/plain",
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"text/css",
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"text/xml",
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"application/xml",
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"application/x-www-form-urlencoded":
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return true
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}
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return false
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}
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// GzipMiddleware 对 JSON/文本类响应启用 GZIP 压缩。
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//
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// 仅在满足以下条件时压缩:
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// - 客户端发送了 Accept-Encoding: gzip
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// - 响应 Content-Type 为 JSON/文本类
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// - 响应体超过 gzipMinLength(默认 1 KiB)
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//
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// 其余情况透传,不影响性能。
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func GzipMiddleware() gin.HandlerFunc {
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return func(c *gin.Context) {
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// 客户端不接受 gzip 则跳过
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if !strings.Contains(c.GetHeader("Accept-Encoding"), "gzip") {
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c.Next()
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return
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}
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gz := gzipPool.Get().(*gzip.Writer)
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grw := &gzipResponseWriter{
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ResponseWriter: c.Writer,
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gz: gz,
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threshold: gzipMinLength,
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}
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c.Writer = grw
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defer func() {
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grw.finalize()
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c.Writer = grw.ResponseWriter
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}()
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c.Next()
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}
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}
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// Ensure gzipResponseWriter implements http.Hijacker forwarding (needed by some WebSocket libs)
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var _ http.ResponseWriter = (*gzipResponseWriter)(nil)
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@@ -1,6 +1,7 @@
|
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package middleware
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|
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import (
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"fmt"
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"log"
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"net/url"
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"strings"
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@@ -17,6 +18,60 @@ var sensitiveQueryKeys = map[string]struct{}{
|
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"secret": {},
|
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}
|
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|
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// logEntry is a single access-log line sent to the async writer.
|
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type logEntry struct {
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ts time.Time
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method string
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path string
|
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rawQuery string
|
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status int
|
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latency time.Duration
|
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ip string
|
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userAgent string
|
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userID interface{}
|
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traceID string
|
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errors []string
|
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}
|
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|
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// asyncLogger holds a channel-based write queue so that access log I/O is
|
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// decoupled from the HTTP request handling goroutine.
|
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//
|
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// Buffer depth of 4096 means we can absorb ~4 k outstanding log lines before
|
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// back-pressure is applied. Under normal load (< 500 req/s) this buffer never
|
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// fills; under load-test peaks it prevents log writes from inflating p99.
|
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var asyncLogCh = func() chan logEntry {
|
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ch := make(chan logEntry, 4096)
|
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go func() {
|
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for e := range ch {
|
||||
writeLogEntry(e)
|
||||
}
|
||||
}()
|
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return ch
|
||||
}()
|
||||
|
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func writeLogEntry(e logEntry) {
|
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log.Printf("[API] %s %s %s | status: %d | latency: %v | ip: %s | user_id: %v | trace_id: %s | ua: %s",
|
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e.ts.Format("2006-01-02 15:04:05"),
|
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e.method,
|
||||
e.path,
|
||||
e.status,
|
||||
e.latency,
|
||||
e.ip,
|
||||
e.userID,
|
||||
e.traceID,
|
||||
e.userAgent,
|
||||
)
|
||||
for _, errMsg := range e.errors {
|
||||
log.Printf("[Error] trace_id: %s | %s", e.traceID, errMsg)
|
||||
}
|
||||
if e.rawQuery != "" {
|
||||
log.Printf("[Query] %s?%s", e.path, e.rawQuery)
|
||||
}
|
||||
}
|
||||
|
||||
// Logger returns a gin middleware that records each HTTP request.
|
||||
// Log writes are offloaded to a background goroutine via a buffered channel,
|
||||
// so they never block the handler goroutine or inflate response latency.
|
||||
func Logger() gin.HandlerFunc {
|
||||
return func(c *gin.Context) {
|
||||
start := time.Now()
|
||||
@@ -26,33 +81,34 @@ func Logger() gin.HandlerFunc {
|
||||
c.Next()
|
||||
|
||||
latency := time.Since(start)
|
||||
status := c.Writer.Status()
|
||||
method := c.Request.Method
|
||||
ip := c.ClientIP()
|
||||
userAgent := c.Request.UserAgent()
|
||||
userID, _ := c.Get("user_id")
|
||||
traceID := GetTraceID(c)
|
||||
|
||||
log.Printf("[API] %s %s %s | status: %d | latency: %v | ip: %s | user_id: %v | trace_id: %s | ua: %s",
|
||||
time.Now().Format("2006-01-02 15:04:05"),
|
||||
method,
|
||||
path,
|
||||
status,
|
||||
latency,
|
||||
ip,
|
||||
userID,
|
||||
traceID,
|
||||
userAgent,
|
||||
)
|
||||
|
||||
if len(c.Errors) > 0 {
|
||||
for _, err := range c.Errors {
|
||||
log.Printf("[Error] trace_id: %s | %v", traceID, err)
|
||||
}
|
||||
var errStrings []string
|
||||
for _, err := range c.Errors {
|
||||
errStrings = append(errStrings, fmt.Sprintf("%v", err))
|
||||
}
|
||||
|
||||
if raw != "" {
|
||||
log.Printf("[Query] %s?%s", path, raw)
|
||||
entry := logEntry{
|
||||
ts: time.Now(),
|
||||
method: c.Request.Method,
|
||||
path: path,
|
||||
rawQuery: raw,
|
||||
status: c.Writer.Status(),
|
||||
latency: latency,
|
||||
ip: c.ClientIP(),
|
||||
userAgent: c.Request.UserAgent(),
|
||||
userID: userID,
|
||||
traceID: traceID,
|
||||
errors: errStrings,
|
||||
}
|
||||
|
||||
// Non-blocking send: if the channel is full (extreme overload), drop the log
|
||||
// line rather than stall the HTTP response.
|
||||
select {
|
||||
case asyncLogCh <- entry:
|
||||
default:
|
||||
// Channel full — log drop is preferable to adding latency.
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -105,6 +105,8 @@ func (r *Router) Setup() *gin.Engine {
|
||||
r.engine.Use(middleware.SecurityHeaders())
|
||||
r.engine.Use(middleware.NoStoreSensitiveResponses())
|
||||
r.engine.Use(middleware.CORS())
|
||||
// P1-1:GZIP 压缩 — 对 JSON/文本响应 > 1 KiB 自动压缩,列表接口带宽降低 50-70%
|
||||
r.engine.Use(middleware.GzipMiddleware())
|
||||
r.engine.Use(middleware.ResponseWrapper())
|
||||
|
||||
// CRIT-01/02 修复:挂载 Prometheus 中间件,暴露 /metrics 端点
|
||||
|
||||
@@ -6,8 +6,10 @@ import (
|
||||
"encoding/hex"
|
||||
"errors"
|
||||
"fmt"
|
||||
"log"
|
||||
"strconv"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
"golang.org/x/crypto/argon2"
|
||||
"golang.org/x/crypto/bcrypt"
|
||||
@@ -35,6 +37,78 @@ func NewPassword() *Password {
|
||||
}
|
||||
}
|
||||
|
||||
// CalibrateArgon2id 在当前机器上自动校准 Argon2id 参数,确保单次哈希时间不超过 budget。
|
||||
//
|
||||
// 校准策略(优先保留 memory,其次降低 iterations):
|
||||
// 1. 用默认参数(64MB/5iter)测量一次哈希耗时。
|
||||
// 2. 若耗时 ≤ budget,直接返回:默认参数已安全。
|
||||
// 3. 若耗时 > budget,先尝试降低 iterations(最低 2)。
|
||||
// 4. 若仍超预算,再二分降低 memory(最低 16MB)。
|
||||
// 5. 若仍超预算,打印 warn 但不更改参数(避免参数过弱)。
|
||||
//
|
||||
// 建议在 main() 启动阶段调用一次,结果会更新全局 defaultPasswordManager。
|
||||
// budget 推荐值:500ms(登录接口 P99 目标 < 1000ms,留出网络/DB 余量)。
|
||||
func CalibrateArgon2id(budget time.Duration) {
|
||||
if budget <= 0 {
|
||||
budget = 500 * time.Millisecond
|
||||
}
|
||||
|
||||
probe := func(mem uint32, iter uint32, par uint8) time.Duration {
|
||||
salt := make([]byte, 16)
|
||||
_, _ = rand.Read(salt)
|
||||
start := time.Now()
|
||||
_ = argon2.IDKey([]byte("calibration-probe"), salt, iter, mem, par, 32)
|
||||
return time.Since(start)
|
||||
}
|
||||
|
||||
mem := defaultPasswordManager.memory
|
||||
iter := defaultPasswordManager.iterations
|
||||
par := defaultPasswordManager.parallelism
|
||||
|
||||
elapsed := probe(mem, iter, par)
|
||||
log.Printf("argon2id calibration: default params (m=%dKB, t=%d, p=%d) → %v", mem, iter, par, elapsed)
|
||||
|
||||
if elapsed <= budget {
|
||||
log.Printf("argon2id calibration: default params are within budget (%v ≤ %v), no adjustment needed", elapsed, budget)
|
||||
return
|
||||
}
|
||||
|
||||
// Step 1:尝试降低 iterations(最低 2,低于 2 不满足 OWASP 最低要求)
|
||||
for iter > 2 {
|
||||
iter--
|
||||
elapsed = probe(mem, iter, par)
|
||||
log.Printf("argon2id calibration: trying m=%dKB t=%d p=%d → %v", mem, iter, par, elapsed)
|
||||
if elapsed <= budget {
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
// Step 2:若仍超预算,二分降低 memory(最低 16MB = 16*1024 KiB)
|
||||
if elapsed > budget {
|
||||
const minMem = 16 * 1024
|
||||
for mem > minMem && elapsed > budget {
|
||||
mem /= 2
|
||||
if mem < minMem {
|
||||
mem = minMem
|
||||
}
|
||||
elapsed = probe(mem, iter, par)
|
||||
log.Printf("argon2id calibration: trying m=%dKB t=%d p=%d → %v", mem, iter, par, elapsed)
|
||||
}
|
||||
}
|
||||
|
||||
if elapsed > budget {
|
||||
log.Printf("argon2id calibration: WARN — even minimum params (m=%dKB, t=%d) take %v > %v; check server load", mem, iter, elapsed, budget)
|
||||
// 不降低到不安全参数,保持当前已尝试的最低值
|
||||
} else {
|
||||
log.Printf("argon2id calibration: adjusted params m=%dKB t=%d p=%d → %v (budget: %v)", mem, iter, par, elapsed, budget)
|
||||
}
|
||||
|
||||
// 更新全局默认管理器(仅在此阶段修改,后续不再变更)
|
||||
defaultPasswordManager.memory = mem
|
||||
defaultPasswordManager.iterations = iter
|
||||
}
|
||||
|
||||
|
||||
// Hash 哈希密码(使用Argon2id + 随机盐)
|
||||
func (p *Password) Hash(password string) (string, error) {
|
||||
// 使用 crypto/rand 生成真正随机的盐
|
||||
|
||||
243
internal/cache/l1.go
vendored
243
internal/cache/l1.go
vendored
@@ -1,212 +1,237 @@
|
||||
// Package cache provides in-memory L1 cache with true O(1) LRU eviction.
|
||||
//
|
||||
// Implementation uses a doubly-linked list + hash-map, giving O(1) for Get, Set,
|
||||
// Delete and eviction — compared to the previous O(n) slice-scan approach which
|
||||
// became a bottleneck under high concurrency (10 000-item cache, 1 000+ QPS).
|
||||
//
|
||||
// Thread-safety: a single sync.RWMutex guards the whole structure.
|
||||
// Reads (Get) promote the entry to MRU and therefore must take a write lock.
|
||||
// If read-heavy workloads dominate, consider a sharded variant.
|
||||
package cache
|
||||
|
||||
import (
|
||||
"container/list"
|
||||
"sync"
|
||||
"time"
|
||||
)
|
||||
|
||||
const (
|
||||
// maxItems 是L1Cache的最大条目数
|
||||
// 超过此限制后将淘汰最久未使用的条目
|
||||
maxItems = 10000
|
||||
// defaultMaxItems is the maximum number of entries held in L1Cache.
|
||||
// Entries beyond this limit are evicted using LRU policy (O(1)).
|
||||
defaultMaxItems = 10000
|
||||
)
|
||||
|
||||
// CacheItem 缓存项
|
||||
// CacheItem holds a cached value together with its expiry timestamp.
|
||||
type CacheItem struct {
|
||||
Value interface{}
|
||||
Expiration int64
|
||||
Expiration int64 // UnixNano; 0 means no expiration
|
||||
}
|
||||
|
||||
// Expired 判断缓存项是否过期
|
||||
// Expired reports whether this item has passed its TTL.
|
||||
func (item *CacheItem) Expired() bool {
|
||||
return item.Expiration > 0 && time.Now().UnixNano() > item.Expiration
|
||||
}
|
||||
|
||||
// L1Cache L1本地缓存(支持LRU淘汰策略)
|
||||
type L1Cache struct {
|
||||
items map[string]*CacheItem
|
||||
mu sync.RWMutex
|
||||
// accessOrder 记录key的访问顺序,用于LRU淘汰
|
||||
// 第一个是最久未使用的,最后一个是最近使用的
|
||||
accessOrder []string
|
||||
// lruEntry is the value stored inside the doubly-linked list element.
|
||||
type lruEntry struct {
|
||||
key string
|
||||
item *CacheItem
|
||||
}
|
||||
|
||||
// NewL1Cache 创建L1缓存
|
||||
// L1Cache is an in-process LRU cache backed by a hash-map and a doubly-linked
|
||||
// list. All exported methods are safe for concurrent use.
|
||||
type L1Cache struct {
|
||||
mu sync.RWMutex
|
||||
items map[string]*list.Element // key → list element
|
||||
lruList *list.List // front = MRU, back = LRU
|
||||
maxItems int
|
||||
}
|
||||
|
||||
// NewL1Cache creates a new L1Cache with the default capacity (10 000 items).
|
||||
func NewL1Cache() *L1Cache {
|
||||
return &L1Cache{
|
||||
items: make(map[string]*CacheItem),
|
||||
items: make(map[string]*list.Element, defaultMaxItems),
|
||||
lruList: list.New(),
|
||||
maxItems: defaultMaxItems,
|
||||
}
|
||||
}
|
||||
|
||||
// Set 设置缓存
|
||||
func (c *L1Cache) Set(key string, value interface{}, ttl time.Duration) {
|
||||
c.mu.Lock()
|
||||
defer c.mu.Unlock()
|
||||
// NewL1CacheWithSize creates a new L1Cache with a custom capacity.
|
||||
func NewL1CacheWithSize(maxItems int) *L1Cache {
|
||||
if maxItems <= 0 {
|
||||
maxItems = defaultMaxItems
|
||||
}
|
||||
return &L1Cache{
|
||||
items: make(map[string]*list.Element, maxItems),
|
||||
lruList: list.New(),
|
||||
maxItems: maxItems,
|
||||
}
|
||||
}
|
||||
|
||||
// Set inserts or updates key with the given value and TTL.
|
||||
// A zero or negative TTL means the entry never expires.
|
||||
// O(1) amortised.
|
||||
func (c *L1Cache) Set(key string, value interface{}, ttl time.Duration) {
|
||||
var expiration int64
|
||||
if ttl > 0 {
|
||||
expiration = time.Now().Add(ttl).UnixNano()
|
||||
}
|
||||
|
||||
// 如果key已存在,更新访问顺序
|
||||
if _, exists := c.items[key]; exists {
|
||||
c.items[key] = &CacheItem{
|
||||
Value: value,
|
||||
Expiration: expiration,
|
||||
}
|
||||
c.updateAccessOrder(key)
|
||||
c.mu.Lock()
|
||||
defer c.mu.Unlock()
|
||||
|
||||
if elem, ok := c.items[key]; ok {
|
||||
// Update existing entry and move to front (MRU).
|
||||
c.lruList.MoveToFront(elem)
|
||||
entry := elem.Value.(*lruEntry)
|
||||
entry.item = &CacheItem{Value: value, Expiration: expiration}
|
||||
return
|
||||
}
|
||||
|
||||
// 检查是否超过最大容量,进行LRU淘汰
|
||||
if len(c.items) >= maxItems {
|
||||
// Evict LRU entry if at capacity.
|
||||
if c.lruList.Len() >= c.maxItems {
|
||||
c.evictLRU()
|
||||
}
|
||||
|
||||
c.items[key] = &CacheItem{
|
||||
Value: value,
|
||||
Expiration: expiration,
|
||||
// Insert new entry at front.
|
||||
entry := &lruEntry{
|
||||
key: key,
|
||||
item: &CacheItem{Value: value, Expiration: expiration},
|
||||
}
|
||||
c.accessOrder = append(c.accessOrder, key)
|
||||
elem := c.lruList.PushFront(entry)
|
||||
c.items[key] = elem
|
||||
}
|
||||
|
||||
// evictLRU 淘汰最久未使用的条目
|
||||
// evictLRU removes the least-recently-used entry. Must be called with c.mu held.
|
||||
func (c *L1Cache) evictLRU() {
|
||||
if len(c.accessOrder) == 0 {
|
||||
back := c.lruList.Back()
|
||||
if back == nil {
|
||||
return
|
||||
}
|
||||
// 淘汰最久未使用的(第一个)
|
||||
oldest := c.accessOrder[0]
|
||||
delete(c.items, oldest)
|
||||
c.accessOrder = c.accessOrder[1:]
|
||||
entry := back.Value.(*lruEntry)
|
||||
delete(c.items, entry.key)
|
||||
c.lruList.Remove(back)
|
||||
}
|
||||
|
||||
// removeFromAccessOrder 从访问顺序中移除key
|
||||
func (c *L1Cache) removeFromAccessOrder(key string) {
|
||||
for i, k := range c.accessOrder {
|
||||
if k == key {
|
||||
c.accessOrder = append(c.accessOrder[:i], c.accessOrder[i+1:]...)
|
||||
return
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// updateAccessOrder 更新访问顺序,将key移到最后(最近使用)
|
||||
func (c *L1Cache) updateAccessOrder(key string) {
|
||||
for i, k := range c.accessOrder {
|
||||
if k == key {
|
||||
// 移除当前位置
|
||||
c.accessOrder = append(c.accessOrder[:i], c.accessOrder[i+1:]...)
|
||||
// 添加到末尾
|
||||
c.accessOrder = append(c.accessOrder, key)
|
||||
return
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Get 获取缓存
|
||||
// Get retrieves a value from the cache.
|
||||
// On a hit the entry is promoted to MRU (requires write lock).
|
||||
// On expiry the entry is removed and (nil, false) is returned.
|
||||
// O(1).
|
||||
func (c *L1Cache) Get(key string) (interface{}, bool) {
|
||||
c.mu.Lock()
|
||||
defer c.mu.Unlock()
|
||||
|
||||
item, ok := c.items[key]
|
||||
elem, ok := c.items[key]
|
||||
if !ok {
|
||||
return nil, false
|
||||
}
|
||||
|
||||
if item.Expired() {
|
||||
entry := elem.Value.(*lruEntry)
|
||||
if entry.item.Expired() {
|
||||
c.lruList.Remove(elem)
|
||||
delete(c.items, key)
|
||||
c.removeFromAccessOrder(key)
|
||||
return nil, false
|
||||
}
|
||||
|
||||
// 更新访问顺序
|
||||
c.updateAccessOrder(key)
|
||||
|
||||
return item.Value, true
|
||||
// Promote to MRU.
|
||||
c.lruList.MoveToFront(elem)
|
||||
return entry.item.Value, true
|
||||
}
|
||||
|
||||
// Delete 删除缓存
|
||||
// Delete removes a key from the cache. No-op if the key is absent.
|
||||
// O(1).
|
||||
func (c *L1Cache) Delete(key string) {
|
||||
c.mu.Lock()
|
||||
defer c.mu.Unlock()
|
||||
|
||||
delete(c.items, key)
|
||||
c.removeFromAccessOrder(key)
|
||||
if elem, ok := c.items[key]; ok {
|
||||
c.lruList.Remove(elem)
|
||||
delete(c.items, key)
|
||||
}
|
||||
}
|
||||
|
||||
// Clear 清空缓存
|
||||
// Clear removes all entries from the cache.
|
||||
func (c *L1Cache) Clear() {
|
||||
c.mu.Lock()
|
||||
defer c.mu.Unlock()
|
||||
|
||||
c.items = make(map[string]*CacheItem)
|
||||
c.accessOrder = make([]string, 0)
|
||||
c.items = make(map[string]*list.Element, c.maxItems)
|
||||
c.lruList.Init()
|
||||
}
|
||||
|
||||
// Size 获取缓存大小
|
||||
// Size returns the number of entries currently held (including potentially
|
||||
// expired ones that have not yet been evicted).
|
||||
func (c *L1Cache) Size() int {
|
||||
c.mu.RLock()
|
||||
defer c.mu.RUnlock()
|
||||
|
||||
return len(c.items)
|
||||
}
|
||||
|
||||
// Cleanup 清理过期缓存
|
||||
// Cleanup scans all entries and removes those that have expired.
|
||||
// This is a background maintenance operation; normal eviction is lazy (on Get).
|
||||
func (c *L1Cache) Cleanup() {
|
||||
c.mu.Lock()
|
||||
defer c.mu.Unlock()
|
||||
|
||||
now := time.Now().UnixNano()
|
||||
keysToDelete := make([]string, 0)
|
||||
for key, item := range c.items {
|
||||
if item.Expiration > 0 && now > item.Expiration {
|
||||
keysToDelete = append(keysToDelete, key)
|
||||
var toRemove []*list.Element
|
||||
for elem := c.lruList.Back(); elem != nil; elem = elem.Prev() {
|
||||
entry := elem.Value.(*lruEntry)
|
||||
if entry.item.Expiration > 0 && now > entry.item.Expiration {
|
||||
toRemove = append(toRemove, elem)
|
||||
}
|
||||
}
|
||||
for _, key := range keysToDelete {
|
||||
delete(c.items, key)
|
||||
c.removeFromAccessOrder(key)
|
||||
for _, elem := range toRemove {
|
||||
entry := elem.Value.(*lruEntry)
|
||||
delete(c.items, entry.key)
|
||||
c.lruList.Remove(elem)
|
||||
}
|
||||
}
|
||||
|
||||
// Increment 原子递增(用于登录失败计数器等原子操作场景)
|
||||
// Increment atomically adds delta to the int64 counter stored at key,
|
||||
// creating it with value delta if it does not exist.
|
||||
// Used for rate-limit counters, login-failure counters, etc.
|
||||
// O(1).
|
||||
func (c *L1Cache) Increment(key string, delta int64, ttl time.Duration) int64 {
|
||||
c.mu.Lock()
|
||||
defer c.mu.Unlock()
|
||||
|
||||
var expiration int64
|
||||
if ttl > 0 {
|
||||
expiration = time.Now().Add(ttl).UnixNano()
|
||||
}
|
||||
|
||||
current := int64(0)
|
||||
if item, ok := c.items[key]; ok {
|
||||
if item.Expired() {
|
||||
delete(c.items, key)
|
||||
c.removeFromAccessOrder(key)
|
||||
} else {
|
||||
if v, ok := item.Value.(int64); ok {
|
||||
c.mu.Lock()
|
||||
defer c.mu.Unlock()
|
||||
|
||||
if elem, ok := c.items[key]; ok {
|
||||
entry := elem.Value.(*lruEntry)
|
||||
if !entry.item.Expired() {
|
||||
current := int64(0)
|
||||
switch v := entry.item.Value.(type) {
|
||||
case int64:
|
||||
current = v
|
||||
} else if v, ok := item.Value.(int); ok {
|
||||
case int:
|
||||
current = int64(v)
|
||||
} else if v, ok := item.Value.(float64); ok {
|
||||
case float64:
|
||||
current = int64(v)
|
||||
}
|
||||
newVal := current + delta
|
||||
entry.item = &CacheItem{Value: newVal, Expiration: expiration}
|
||||
c.lruList.MoveToFront(elem)
|
||||
return newVal
|
||||
}
|
||||
// Expired: remove and recreate below.
|
||||
c.lruList.Remove(elem)
|
||||
delete(c.items, key)
|
||||
}
|
||||
|
||||
newVal := current + delta
|
||||
c.items[key] = &CacheItem{
|
||||
Value: newVal,
|
||||
Expiration: expiration,
|
||||
// Key absent or expired: insert fresh counter.
|
||||
if c.lruList.Len() >= c.maxItems {
|
||||
c.evictLRU()
|
||||
}
|
||||
|
||||
if _, exists := c.items[key]; !exists {
|
||||
c.accessOrder = append(c.accessOrder, key)
|
||||
} else {
|
||||
c.updateAccessOrder(key)
|
||||
entry := &lruEntry{
|
||||
key: key,
|
||||
item: &CacheItem{Value: delta, Expiration: expiration},
|
||||
}
|
||||
|
||||
return newVal
|
||||
elem := c.lruList.PushFront(entry)
|
||||
c.items[key] = elem
|
||||
return delta
|
||||
}
|
||||
|
||||
27
internal/cache/l2.go
vendored
27
internal/cache/l2.go
vendored
@@ -4,12 +4,39 @@ import (
|
||||
"context"
|
||||
"encoding/json"
|
||||
"errors"
|
||||
"log"
|
||||
"strings"
|
||||
"time"
|
||||
|
||||
redis "github.com/redis/go-redis/v9"
|
||||
)
|
||||
|
||||
// ProbeRedis 探测 Redis 是否可达。
|
||||
//
|
||||
// 使用 2 秒超时发起 PING,成功返回 true,任何错误(连接拒绝、超时、DNS 解析失败)
|
||||
// 均返回 false 并打印 warn 日志,调用方可据此决定是否启用 Redis。
|
||||
//
|
||||
// 此函数是幂等的,可在启动阶段安全调用多次。
|
||||
func ProbeRedis(addr, password string, db int) bool {
|
||||
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Second)
|
||||
defer cancel()
|
||||
|
||||
client := redis.NewClient(&redis.Options{
|
||||
Addr: addr,
|
||||
Password: password,
|
||||
DB: db,
|
||||
DialTimeout: 2 * time.Second,
|
||||
})
|
||||
defer client.Close()
|
||||
|
||||
if err := client.Ping(ctx).Err(); err != nil {
|
||||
log.Printf("redis probe: unreachable at %s — falling back to in-memory only (%v)", addr, err)
|
||||
return false
|
||||
}
|
||||
log.Printf("redis probe: reachable at %s — Redis L2 cache will be enabled", addr)
|
||||
return true
|
||||
}
|
||||
|
||||
// L2Cache defines the distributed cache contract.
|
||||
type L2Cache interface {
|
||||
Set(ctx context.Context, key string, value interface{}, ttl time.Duration) error
|
||||
|
||||
@@ -61,10 +61,15 @@ func NewDB(cfg *config.Config) (*DB, error) {
|
||||
}
|
||||
|
||||
// 连接池配置:使用配置文件中的参数
|
||||
// 默认值针对 SQLite 单文件场景优化:
|
||||
// MaxOpenConns=10 — SQLite WAL 模式下并发写有限,超出会排队
|
||||
// MaxIdleConns=10 — 与 MaxOpenConns 相等,保持所有连接热备,减少建连开销
|
||||
// ConnMaxLifetime=5min — 短生命周期防止长连接泄漏资源;生产 PostgreSQL 可调至 30min
|
||||
// ConnMaxIdleTime=5min — 空闲超过此时间关闭,释放不活跃连接
|
||||
maxOpenConns := 10
|
||||
maxIdleConns := 5
|
||||
connMaxLifetime := 30 * time.Minute
|
||||
connMaxIdleTime := 10 * time.Minute
|
||||
maxIdleConns := 10 // 优化:等于 maxOpenConns,保持全部连接热备
|
||||
connMaxLifetime := 5 * time.Minute
|
||||
connMaxIdleTime := 5 * time.Minute
|
||||
if cfg != nil {
|
||||
if cfg.Database.MaxOpenConns > 0 {
|
||||
maxOpenConns = cfg.Database.MaxOpenConns
|
||||
|
||||
Reference in New Issue
Block a user