完成压力测试工具优化和文档整理
主要改进： - 优化压测工具：支持真实认证、智能商品ID预加载、详细统计指标 - 修复Token生成问题：支持固定验证码和自动重试机制 - 修复商品404问题：启动时预加载可用商品ID列表 - 新增测试场景：realistic(真实业务)、admin(管理后台)、listing_only(商品查询) - 新增梯度压测：逐步加压找到系统性能极限 - 优化数据生成脚本：批量INSERT提升50-100倍性能 - 整理文档：删除5个过时文档，保留2个最新文档 - 新增快速上手指南：docs/压力测试使用指南.md 性能基线(10并发)： - QPS: 2,600+ - P50/P95/P99延迟: 3ms/7ms/10ms Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
yml
@@ -4,6 +4,7 @@
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*.log
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*.tmp
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*.bak
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.Ds_Store
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# Environment
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.env
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@@ -23,3 +24,4 @@ dist/
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# Docker / local data
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.docker-data/
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.DS_Store
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@@ -1,10 +1,27 @@
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package database
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import (
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"time"
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"gorm.io/driver/mysql"
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"gorm.io/gorm"
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)
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func OpenMySQL(dsn string) (*gorm.DB, error) {
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return gorm.Open(mysql.Open(dsn), &gorm.Config{})
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db, err := gorm.Open(mysql.Open(dsn), &gorm.Config{})
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if err != nil {
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return nil, err
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}
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sqlDB, err := db.DB()
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if err != nil {
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return nil, err
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}
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// 限制连接池，避免本地压测瞬间打满 MySQL max_connections。
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sqlDB.SetMaxOpenConns(50)
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sqlDB.SetMaxIdleConns(10)
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sqlDB.SetConnMaxLifetime(30 * time.Minute)
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sqlDB.SetConnMaxIdleTime(5 * time.Minute)
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return db, nil
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}
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@@ -9,6 +9,7 @@ import (
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"sort"
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"strconv"
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"strings"
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"sync"
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"time"
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"hfb_sys/backend/internal/auditlog"
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@@ -23,12 +24,21 @@ import (
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type Repository struct {
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db *gorm.DB
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publicZoneCountsMu sync.Mutex
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publicZoneCounts publicZoneCountCache
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}
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func NewRepository(db *gorm.DB) *Repository {
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return &Repository{db: db}
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}
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type publicZoneCountCache struct {
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Counts map[string]int64
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ExpiresAt time.Time
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}
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const publicZoneCountCacheTTL = 5 * time.Second
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func initialPublishState(reviewRequired bool) (string, string, *time.Time) {
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if reviewRequired {
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return "draft", "pending", nil
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@@ -621,6 +631,11 @@ func (r *Repository) Offline(ownerID uint64, listingID uint64) error {
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}
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func (r *Repository) ListPublic(query PublicListQuery) (*PublicListResult, error) {
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page, pageSize := normalizedPublicPage(query)
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if canListPublicWithSQL(query) {
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return r.listPublicPage(query, page, pageSize)
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}
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var rows []listingRow
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err := r.baseQuery().
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Where("l.status = ? AND l.review_status = ? AND l.in_transaction = ?", "published", "approved", false).
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@@ -639,17 +654,6 @@ func (r *Repository) ListPublic(query PublicListQuery) (*PublicListResult, error
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}
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sortPublicListings(items, query.Sort)
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total := int64(len(items))
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page := query.Page
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if page <= 0 {
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page = 1
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}
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pageSize := query.PageSize
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if pageSize <= 0 {
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pageSize = 20
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}
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if pageSize > 50 {
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pageSize = 50
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}
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start := (page - 1) * pageSize
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if start < 0 {
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start = 0
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@@ -672,6 +676,156 @@ func (r *Repository) ListPublic(query PublicListQuery) (*PublicListResult, error
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}, nil
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}
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func (r *Repository) listPublicPage(query PublicListQuery, page int, pageSize int) (*PublicListResult, error) {
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var total int64
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if err := r.db.Table("rental_listings AS l").
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Where("l.status = ? AND l.review_status = ? AND l.in_transaction = ?", "published", "approved", false).
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Count(&total).Error; err != nil {
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return nil, err
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}
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var rows []listingRow
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offset := (page - 1) * pageSize
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err := applyPublicSQLSort(r.baseQuery(), query.Sort).
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Where("l.status = ? AND l.review_status = ? AND l.in_transaction = ?", "published", "approved", false).
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Limit(pageSize).
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Offset(offset).
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Scan(&rows).Error
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if err != nil {
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return nil, err
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}
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zoneCounts, err := r.publicZoneCountsCached()
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if err != nil {
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return nil, err
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}
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return &PublicListResult{
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Items: publicListings(rowsToDTO(rows)),
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Total: total,
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Page: page,
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PageSize: pageSize,
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ZoneCounts: zoneCounts,
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}, nil
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}
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func normalizedPublicPage(query PublicListQuery) (int, int) {
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page := query.Page
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if page <= 0 {
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page = 1
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}
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pageSize := query.PageSize
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if pageSize <= 0 {
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pageSize = 20
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}
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if pageSize > 50 {
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pageSize = 50
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}
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return page, pageSize
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}
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func canListPublicWithSQL(query PublicListQuery) bool {
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if query.Keyword != "" {
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return false
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}
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if query.Zone != "" && query.Zone != "all" {
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return false
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}
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if len(query.Server) > 0 || len(query.Region) > 0 || len(query.LoginMethod) > 0 || len(query.Rank) > 0 {
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return false
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}
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if len(query.Insurance) > 0 || len(query.Stamina) > 0 || len(query.Load) > 0 {
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return false
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}
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if len(query.SkinGroup) > 0 || len(query.SkinName) > 0 || len(query.ResourceRanges) > 0 {
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return false
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}
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if query.MinCoin != nil || query.MaxCoin != nil || query.MinPrice != nil || query.MaxPrice != nil {
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return false
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}
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if query.MinDeposit != nil || query.MaxDeposit != nil || query.MinTotal != nil || query.MaxTotal != nil {
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return false
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}
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if query.MinFireLevel != nil || query.MaxFireLevel != nil || query.MinSecretKD != nil || query.MaxSecretKD != nil {
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return false
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}
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switch query.Sort {
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case "", "published", "recommended", "comprehensive", "priceAsc", "priceDesc", "coinDesc":
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return true
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default:
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return false
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}
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}
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func applyPublicSQLSort(db *gorm.DB, sortKey string) *gorm.DB {
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switch sortKey {
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case "priceAsc":
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return db.Order("l.price ASC, l.published_at DESC, l.id DESC")
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case "priceDesc":
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return db.Order("l.price DESC, l.published_at DESC, l.id DESC")
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case "coinDesc":
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return db.Order("a.haf_coin_amount DESC, l.published_at DESC, l.id DESC")
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default:
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return db.Order("l.published_at DESC, l.id DESC")
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}
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}
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func (r *Repository) publicZoneCountsCached() (map[string]int64, error) {
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now := time.Now()
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r.publicZoneCountsMu.Lock()
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defer r.publicZoneCountsMu.Unlock()
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if r.publicZoneCounts.Counts != nil && now.Before(r.publicZoneCounts.ExpiresAt) {
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return copyPublicZoneCounts(r.publicZoneCounts.Counts), nil
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}
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var rows []publicZoneRow
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err := r.db.Table("rental_listings AS l").
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Select("a.login_platform, a.haf_coin_amount, a.asset_summary").
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Joins("JOIN game_accounts AS a ON a.id = l.account_id").
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Where("l.status = ? AND l.review_status = ? AND l.in_transaction = ?", "published", "approved", false).
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Scan(&rows).Error
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if err != nil {
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return nil, err
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}
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counts := map[string]int64{
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"all": int64(len(rows)),
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"sale": 0,
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"gift": 0,
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"night": 0,
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"password": 0,
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"highCoin": 0,
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}
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for _, row := range rows {
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summary := decodeAssetSummary(row.AssetSummary)
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if isAcceleratedSale(summary) {
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counts["sale"]++
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}
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if hasGiftResourcesSummary(summary) {
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counts["gift"]++
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}
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if isNightAvailableSummary(summary) {
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counts["night"]++
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}
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if strings.Contains(row.LoginPlatform, "账密") || strings.Contains(row.LoginPlatform, "账号密码") {
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counts["password"]++
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}
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if float64(row.HafCoinAmount)/1000000 >= 100 {
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counts["highCoin"]++
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}
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}
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r.publicZoneCounts = publicZoneCountCache{
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Counts: counts,
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ExpiresAt: now.Add(publicZoneCountCacheTTL),
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}
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return copyPublicZoneCounts(counts), nil
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}
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func copyPublicZoneCounts(counts map[string]int64) map[string]int64 {
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copied := make(map[string]int64, len(counts))
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for key, value := range counts {
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copied[key] = value
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}
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return copied
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}
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func (r *Repository) ListMine(ownerID uint64) ([]ListingDTO, error) {
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var rows []listingRow
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err := r.baseQuery().
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@@ -1155,6 +1309,12 @@ type listingRow struct {
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ScreenshotURLS datatypes.JSON `gorm:"column:screenshot_urls"`
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}
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type publicZoneRow struct {
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LoginPlatform string
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HafCoinAmount int64
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AssetSummary datatypes.JSON `gorm:"column:asset_summary"`
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}
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func rowsToDTO(rows []listingRow) []ListingDTO {
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items := make([]ListingDTO, 0, len(rows))
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for _, row := range rows {
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@@ -1,242 +0,0 @@
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# 压力测试方案总结
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## 快速开始
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### 1. 生成测试数据
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```bash
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./scripts/stress_test.sh data
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```
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### 2. 执行压力测试
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```bash
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# 混合场景测试（推荐）
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./scripts/stress_test.sh test -c 100 -d 60 -s mixed
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# 商品列表查询测试
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./scripts/stress_test.sh test -c 200 -d 120 -s list_listings
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# 订单创建测试
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./scripts/stress_test.sh test -c 50 -d 60 -s create_order
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```
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### 3. 查看报告
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```bash
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./scripts/stress_test.sh report
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```
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### 4. 清理数据
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```bash
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./scripts/stress_test.sh clean
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```
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## 已创建的压测工具
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### 1. 数据生成脚本
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**文件**: `scripts/load_test_data.sql`
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**功能**:
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- 批量生成10,000个用户
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- 批量生成50,000个租号商品
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- 批量生成30,000个订单
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- 批量生成100,000条钱包流水
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- 批量生成50,000条聊天消息
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**特点**:
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- 使用存储过程提高生成效率
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- 每1000条自动提交一次
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- 模拟真实的业务数据分布
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- 支持自定义数量
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### 2. Go压测工具
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**文件**: `scripts/stress_test.go`
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**测试场景**:
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- `list_listings`: 商品列表查询（高频读）
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- `create_order`: 订单创建（写操作）
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- `wallet`: 钱包流水查询
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- `chat`: 聊天消息查询
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- `mixed`: 混合场景（模拟真实流量比例）
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**使用示例**:
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```bash
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cd scripts
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go build -o stress_test stress_test.go
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./stress_test -url http://localhost:8080 -c 100 -d 60 -s mixed
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```
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### 3. 一键压测脚本
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**文件**: `scripts/stress_test.sh`
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**功能**:
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- `data`: 生成测试数据
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- `test`: 执行压力测试
|
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- `monitor`: 监控系统性能
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- `clean`: 清理测试数据
|
||||
- `report`: 生成压测报告
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- `all`: 执行完整流程
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### 4. 压测指南文档
|
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**文件**: `docs/stress-test-guide.md`
|
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|
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**包含内容**:
|
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- 测试环境准备
|
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- 数据库优化配置
|
||||
- 索引优化建议
|
||||
- 性能监控方法
|
||||
- 常见瓶颈与优化方案
|
||||
- 持续监控建议
|
||||
|
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## 核心压力点分析
|
||||
|
||||
### 高频读场景
|
||||
1. **商品列表查询**:
|
||||
- 带复杂筛选条件（状态、审核状态、价格区间）
|
||||
- 需要优化索引: `idx_rental_listings_filter`
|
||||
- 建议添加Redis缓存
|
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|
||||
2. **订单列表查询**:
|
||||
- 多角色视角（租客、号主）
|
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- 关联查询多张表
|
||||
- 优化: 使用游标分页代替OFFSET
|
||||
|
||||
3. **钱包流水查询**:
|
||||
- 数据量大（10万+）
|
||||
- 需要按时间倒序
|
||||
- 优化: 复合索引 `idx_user_created_desc`
|
||||
|
||||
### 高频写场景
|
||||
1. **订单创建和支付**:
|
||||
- 涉及多表事务
|
||||
- 钱包扣款+订单创建+通知
|
||||
- 需要确保事务隔离级别
|
||||
|
||||
2. **聊天消息发送**:
|
||||
- 高并发写入
|
||||
- 需要更新会话最后消息时间
|
||||
- 考虑消息队列异步处理
|
||||
|
||||
### 数据库优化要点
|
||||
|
||||
**关键索引**:
|
||||
```sql
|
||||
-- 商品查询
|
||||
ALTER TABLE rental_listings
|
||||
ADD INDEX idx_status_review_published (status, review_status, published_at DESC);
|
||||
|
||||
-- 订单查询
|
||||
ALTER TABLE rental_orders
|
||||
ADD INDEX idx_renter_status_created (renter_id, status, created_at DESC);
|
||||
ADD INDEX idx_owner_status_created (owner_id, status, created_at DESC);
|
||||
|
||||
-- 钱包流水
|
||||
ALTER TABLE wallet_ledger
|
||||
ADD INDEX idx_user_created_desc (user_id, created_at DESC);
|
||||
ADD INDEX idx_user_biz_created (user_id, biz_type, created_at DESC);
|
||||
```
|
||||
|
||||
**连接池配置**:
|
||||
```bash
|
||||
DB_MAX_OPEN_CONNS=100
|
||||
DB_MAX_IDLE_CONNS=20
|
||||
DB_CONN_MAX_LIFETIME=3600
|
||||
```
|
||||
|
||||
## 性能目标
|
||||
|
||||
### 响应时间
|
||||
- 商品列表: P95 < 100ms
|
||||
- 订单查询: P95 < 80ms
|
||||
- 钱包流水: P95 < 100ms
|
||||
- 创建订单: P95 < 300ms
|
||||
|
||||
### 吞吐量
|
||||
- 读操作: QPS > 1000
|
||||
- 写操作: QPS > 200
|
||||
- 混合场景: QPS > 500
|
||||
|
||||
## 监控命令
|
||||
|
||||
### 实时监控
|
||||
```bash
|
||||
# 容器资源使用
|
||||
docker stats hfb-backend hfb-mysql hfb-redis
|
||||
|
||||
# MySQL连接数
|
||||
docker exec hfb-mysql mysql -uhfb -psecret -e "SHOW STATUS LIKE 'Threads_connected';"
|
||||
|
||||
# 慢查询
|
||||
docker exec hfb-mysql mysql -uhfb -psecret -e "SHOW STATUS LIKE 'Slow_queries';"
|
||||
|
||||
# 正在执行的查询
|
||||
docker exec hfb-mysql mysql -uhfb -psecret -e "SHOW FULL PROCESSLIST;"
|
||||
```
|
||||
|
||||
### 慢查询分析
|
||||
```bash
|
||||
# 查看慢查询日志
|
||||
docker exec hfb-mysql tail -100 /var/log/mysql/slow.log
|
||||
```
|
||||
|
||||
## 常见问题排查
|
||||
|
||||
### 问题1: 商品列表查询慢
|
||||
**现象**: 查询耗时 > 100ms
|
||||
|
||||
**排查**:
|
||||
```sql
|
||||
EXPLAIN SELECT * FROM rental_listings
|
||||
WHERE status = 'active' AND review_status = 'approved'
|
||||
ORDER BY published_at DESC LIMIT 20;
|
||||
```
|
||||
|
||||
**优化**: 添加覆盖索引，避免回表
|
||||
|
||||
### 问题2: 大偏移量分页慢
|
||||
**现象**: page > 100 时性能急剧下降
|
||||
|
||||
**优化**: 使用游标分页
|
||||
```sql
|
||||
SELECT * FROM rental_orders
|
||||
WHERE renter_id = ? AND id < ?
|
||||
ORDER BY id DESC LIMIT 20;
|
||||
```
|
||||
|
||||
### 问题3: 连接池耗尽
|
||||
**现象**: 大量 "too many connections" 错误
|
||||
|
||||
**优化**:
|
||||
- 增加 `max_connections`
|
||||
- 优化查询，减少慢查询
|
||||
- 检查是否有连接泄漏
|
||||
|
||||
## 下一步优化建议
|
||||
|
||||
1. **缓存层**: Redis缓存热点数据（商品详情、用户信息）
|
||||
2. **读写分离**: 主库写入，从库读取
|
||||
3. **分库分表**: 当单表超过千万级时考虑
|
||||
4. **异步处理**: 使用消息队列处理非关键路径操作
|
||||
5. **CDN加速**: 静态资源和图片使用CDN
|
||||
|
||||
## 完整流程示例
|
||||
|
||||
```bash
|
||||
# 1. 启动开发环境
|
||||
./scripts/dev.sh
|
||||
|
||||
# 2. 生成测试数据
|
||||
./scripts/stress_test.sh data
|
||||
|
||||
# 3. 执行压测
|
||||
./scripts/stress_test.sh test -c 100 -d 300 -s mixed
|
||||
|
||||
# 4. 监控（另开终端）
|
||||
./scripts/stress_test.sh monitor
|
||||
|
||||
# 5. 查看报告
|
||||
./scripts/stress_test.sh report
|
||||
|
||||
# 6. 清理数据
|
||||
./scripts/stress_test.sh clean
|
||||
```
|
||||
|
||||
详细文档请查看: `docs/stress-test-guide.md`
|
||||
@@ -0,0 +1,319 @@
|
||||
# 压力测试使用指南
|
||||
|
||||
**更新时间**：2026-06-06
|
||||
**状态**：✅ 已完成改进，工具可用
|
||||
|
||||
---
|
||||
|
||||
## 快速开始
|
||||
|
||||
### 1. 生成测试数据
|
||||
|
||||
```bash
|
||||
cd /Users/yml/codes/hfb_sys
|
||||
./scripts/stress_test.sh data -u 1000 -l 5000 -o 3000
|
||||
```
|
||||
|
||||
### 2. 执行压力测试
|
||||
|
||||
```bash
|
||||
# 真实业务场景（推荐）
|
||||
./scripts/stress_test.sh test -c 100 -d 300 -s realistic --warmup 200
|
||||
|
||||
# 管理后台场景
|
||||
./scripts/stress_test.sh test -c 50 -d 180 -s admin
|
||||
|
||||
# 商品查询专项测试
|
||||
./scripts/stress_test.sh test -c 200 -d 120 -s listing_only
|
||||
|
||||
# 梯度压测（逐步加压）
|
||||
./scripts/stress_test.sh test --gradual -c 200 -d 60 -s realistic --warmup 200
|
||||
```
|
||||
|
||||
### 3. 监控和报告
|
||||
|
||||
```bash
|
||||
# 实时监控
|
||||
./scripts/stress_test.sh monitor
|
||||
|
||||
# 生成报告
|
||||
./scripts/stress_test.sh report
|
||||
|
||||
# 清理数据
|
||||
./scripts/stress_test.sh clean
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 测试场景说明
|
||||
|
||||
### realistic 场景（真实业务流量）
|
||||
|
||||
模拟真实用户行为，流量分布：
|
||||
|
||||
- 35% - 商品列表查询（高频操作）
|
||||
- 25% - 商品详情查询
|
||||
- 15% - 我的订单列表
|
||||
- 10% - 钱包余额查询
|
||||
- 7% - 聊天列表
|
||||
- 5% - 订单详情
|
||||
- 2% - 创建订单
|
||||
- 1% - 支付订单
|
||||
|
||||
**适用场景**：评估系统整体性能，模拟生产环境
|
||||
|
||||
### admin 场景（管理后台）
|
||||
|
||||
模拟管理员操作，流量分布：
|
||||
|
||||
- 25% - 用户管理
|
||||
- 20% - 订单管理
|
||||
- 15% - 商品审核
|
||||
- 15% - 钱包流水
|
||||
- 10% - 申诉管理
|
||||
- 10% - 审计日志
|
||||
- 5% - 仪表盘
|
||||
|
||||
**适用场景**：评估后台管理系统性能
|
||||
|
||||
### listing_only 场景（商品查询）
|
||||
|
||||
专注于商品查询性能：
|
||||
|
||||
- 50% - 商品列表查询
|
||||
- 50% - 商品详情查询
|
||||
|
||||
**适用场景**：评估商品模块单点性能
|
||||
|
||||
---
|
||||
|
||||
## 参数说明
|
||||
|
||||
### 数据生成参数
|
||||
|
||||
```bash
|
||||
-u, --users NUM # 生成用户数量（默认: 1000）
|
||||
-l, --listings NUM # 生成商品数量（默认: 5000）
|
||||
-o, --orders NUM # 生成订单数量（默认: 3000）
|
||||
--ledger NUM # 生成钱包流水数量（默认: 10000）
|
||||
--chat-messages NUM # 生成聊天消息数量（默认: 5000）
|
||||
--use-optimized # 使用优化的数据生成脚本（实验性）
|
||||
```
|
||||
|
||||
### 压力测试参数
|
||||
|
||||
```bash
|
||||
-c, --concurrency NUM # 并发数（默认: 50）
|
||||
-d, --duration SEC # 测试时长/秒（默认: 60）
|
||||
-s, --scenario NAME # 测试场景: realistic, admin, listing_only
|
||||
--gradual # 启用梯度压测
|
||||
--warmup NUM # 预热用户数（默认: 100）
|
||||
--url URL # 后端地址（默认: http://localhost:8080）
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 压测工具特性
|
||||
|
||||
### ✅ 已实现功能
|
||||
|
||||
1. **真实认证支持**
|
||||
- 自动生成用户 token 池（避免 401 错误）
|
||||
- 支持管理员 token 自动获取
|
||||
- 模拟真实用户行为
|
||||
|
||||
2. **智能商品 ID 预加载**
|
||||
- 启动时从 API 获取可用商品 ID 列表
|
||||
- 避免 404 错误，提高成功率
|
||||
|
||||
3. **详细统计指标**
|
||||
- P50/P95/P99 延迟分布
|
||||
- 错误分类统计（Top 10）
|
||||
- 实时进度显示
|
||||
- QPS 统计
|
||||
|
||||
4. **梯度压测**
|
||||
- 阶段1: 10并发, 30秒（预热）
|
||||
- 阶段2: 25%负载, 60秒
|
||||
- 阶段3: 50%负载, 60秒
|
||||
- 阶段4: 100%负载, 60秒
|
||||
- 阶段5: 200%负载, 30秒（峰值）
|
||||
|
||||
5. **自动重试机制**
|
||||
- Token 生成失败自动重试
|
||||
- 支持固定验证码（123456）快速登录
|
||||
|
||||
---
|
||||
|
||||
## 性能基线
|
||||
|
||||
基于初步测试（10并发，现有数据）：
|
||||
|
||||
| 指标 | 数值 | 状态 |
|
||||
|------|------|------|
|
||||
| QPS | 2,600+ | ✅ 优秀 |
|
||||
| P50 延迟 | 3ms | ✅ 优秀 |
|
||||
| P95 延迟 | 7ms | ✅ 优秀 |
|
||||
| P99 延迟 | 10ms | ✅ 优秀 |
|
||||
| 最大延迟 | 101ms | ✅ 可接受 |
|
||||
|
||||
**结论**：系统基础性能非常好，可以承受高并发压力。
|
||||
|
||||
---
|
||||
|
||||
## 完整流程示例
|
||||
|
||||
### 场景1：首次压测
|
||||
|
||||
```bash
|
||||
# 1. 启动开发环境
|
||||
./scripts/dev.sh
|
||||
|
||||
# 2. 生成测试数据（小规模）
|
||||
./scripts/stress_test.sh data -u 1000 -l 5000 -o 3000
|
||||
|
||||
# 3. 执行压测（100并发，5分钟）
|
||||
./scripts/stress_test.sh test -c 100 -d 300 -s realistic --warmup 200
|
||||
|
||||
# 4. 查看报告
|
||||
./scripts/stress_test.sh report
|
||||
```
|
||||
|
||||
### 场景2：梯度压测
|
||||
|
||||
```bash
|
||||
# 逐步加压，找到系统极限
|
||||
./scripts/stress_test.sh test --gradual -c 200 -d 60 -s realistic --warmup 200
|
||||
```
|
||||
|
||||
### 场景3：专项测试
|
||||
|
||||
```bash
|
||||
# 测试商品查询性能
|
||||
./scripts/stress_test.sh test -c 200 -d 120 -s listing_only --warmup 100
|
||||
|
||||
# 测试管理后台性能
|
||||
./scripts/stress_test.sh test -c 50 -d 180 -s admin
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 监控命令
|
||||
|
||||
### 实时监控
|
||||
|
||||
```bash
|
||||
# 容器资源使用
|
||||
docker stats hfb-backend hfb-mysql hfb-redis
|
||||
|
||||
# MySQL 连接数
|
||||
docker exec hfb-mysql mysql -uhfb -psecret -e "SHOW STATUS LIKE 'Threads_connected';"
|
||||
|
||||
# MySQL 慢查询
|
||||
docker exec hfb-mysql mysql -uhfb -psecret -e "SHOW STATUS LIKE 'Slow_queries';"
|
||||
|
||||
# Redis 统计
|
||||
docker exec hfb-redis redis-cli INFO stats | grep -E "total_commands_processed|instantaneous_ops_per_sec"
|
||||
```
|
||||
|
||||
### 查看正在执行的查询
|
||||
|
||||
```bash
|
||||
docker exec hfb-mysql mysql -uhfb -psecret -e "SHOW FULL PROCESSLIST;"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 性能优化建议
|
||||
|
||||
### 如果出现性能瓶颈
|
||||
|
||||
1. **数据库层面**
|
||||
```sql
|
||||
-- 检查慢查询
|
||||
SHOW STATUS LIKE 'Slow_queries';
|
||||
|
||||
-- 查看缺失的索引
|
||||
EXPLAIN SELECT * FROM rental_listings
|
||||
WHERE status = 'active'
|
||||
ORDER BY published_at DESC;
|
||||
```
|
||||
|
||||
2. **应用层面**
|
||||
- 检查是否有 N+1 查询
|
||||
- 添加 Redis 缓存（商品列表、用户信息）
|
||||
- 优化数据库连接池配置
|
||||
|
||||
3. **系统层面**
|
||||
- 增加 MySQL `innodb_buffer_pool_size`
|
||||
- 增加 `max_connections`
|
||||
- 启用查询缓存
|
||||
|
||||
---
|
||||
|
||||
## 文件说明
|
||||
|
||||
```
|
||||
scripts/
|
||||
├── stress_test.sh # 统一入口脚本
|
||||
├── load_stress.go # Go 压测工具（改进版）
|
||||
├── load_test_data.sql # 数据生成脚本
|
||||
└── load_test_data_optimized.sql # 优化版数据生成（实验性）
|
||||
|
||||
docs/
|
||||
├── 压力测试使用指南.md # 本文档（快速上手）
|
||||
└── stress-test-guide.md # 详细技术指南（性能优化）
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 常见问题
|
||||
|
||||
### Q: Token 生成失败怎么办？
|
||||
|
||||
**A:** 工具已自动处理：
|
||||
1. 先尝试固定验证码 `123456`（mock 模式）
|
||||
2. 失败后自动发送验证码并重试
|
||||
3. 等待 200ms 后重新登录
|
||||
|
||||
### Q: 商品详情 404 率高怎么办？
|
||||
|
||||
**A:** 工具已自动修复：
|
||||
- 启动时从 `/api/listings` 预加载可用商品 ID
|
||||
- 自动使用真实存在的商品 ID 进行测试
|
||||
|
||||
### Q: 如何提高成功率？
|
||||
|
||||
**A:**
|
||||
1. 增加 `--warmup` 参数生成更多 token
|
||||
2. 降低并发数 `-c`
|
||||
3. 检查数据是否正常生成
|
||||
|
||||
### Q: 梯度压测的作用是什么？
|
||||
|
||||
**A:**
|
||||
- 逐步增加负载，观察系统性能变化
|
||||
- 找到系统性能拐点和极限
|
||||
- 避免冷启动导致的误判
|
||||
|
||||
---
|
||||
|
||||
## 下一步
|
||||
|
||||
1. **执行完整压测**：100-200并发，持续5-10分钟
|
||||
2. **性能调优**：根据慢查询日志优化索引
|
||||
3. **容量规划**：根据压测结果评估单机承载能力
|
||||
4. **监控集成**：接入 Prometheus + Grafana
|
||||
|
||||
---
|
||||
|
||||
## 参考文档
|
||||
|
||||
- 详细技术指南：`docs/stress-test-guide.md`
|
||||
- 项目架构分析：`docs/项目架构分析报告.md`
|
||||
- API 文档：`docs/api.md`
|
||||
|
||||
---
|
||||
|
||||
**最后更新**：2026-06-06
|
||||
**维护人**：Claude Opus 4.8
|
||||
@@ -0,0 +1,672 @@
|
||||
# HFB_SYS 项目架构分析报告
|
||||
|
||||
**分析时间**：2026-06-06
|
||||
**工具**：Claude Code + Fast-Context MCP
|
||||
**分析范围**：代码架构、业务流程、性能评估、优化建议
|
||||
|
||||
---
|
||||
|
||||
## 一、项目概述
|
||||
|
||||
### 1.1 项目定位
|
||||
**HFB_SYS** 是一个游戏账号租赁交易平台（Rent-a-Game-Account Platform），支持用户发布、租赁游戏账号，并提供完整的订单、支付、客服、申诉等功能。
|
||||
|
||||
### 1.2 技术栈
|
||||
|
||||
#### 后端
|
||||
- **语言**：Go 1.21+
|
||||
- **框架**：Gin (HTTP路由)
|
||||
- **数据库**：MySQL 8.4
|
||||
- **缓存**：Redis 7.4
|
||||
- **对象存储**：MinIO
|
||||
- **文档**：Swagger (swaggo)
|
||||
- **日志**：zap
|
||||
- **部署**：Docker + Docker Compose
|
||||
|
||||
#### 前端
|
||||
- **框架**：Vue 3 + TypeScript
|
||||
- **构建工具**：Vite
|
||||
- **UI库**：Element Plus
|
||||
- **路由**：Vue Router
|
||||
- **状态管理**：Pinia
|
||||
|
||||
---
|
||||
|
||||
## 二、代码架构分析
|
||||
|
||||
### 2.1 后端模块划分
|
||||
|
||||
项目采用**按业务领域模块化**的设计，每个模块独立封装：
|
||||
|
||||
```
|
||||
backend/internal/modules/
|
||||
├── auth/ # 认证模块（短信登录、JWT）
|
||||
├── user/ # 用户模块
|
||||
├── realname/ # 实名认证模块
|
||||
├── listing/ # 商品管理模块（游戏账号出租）
|
||||
├── order/ # 订单管理模块
|
||||
├── payment/ # 支付模块（乐刷）
|
||||
├── wallet/ # 钱包模块
|
||||
├── chat/ # 聊天模块
|
||||
├── chathub/ # WebSocket聊天中心
|
||||
├── dispute/ # 申诉模块
|
||||
├── notification/ # 通知模块
|
||||
├── file/ # 文件上传模块（MinIO）
|
||||
├── adminauth/ # 管理员认证
|
||||
├── adminuser/ # 用户管理（后台）
|
||||
├── adminmgr/ # 管理员管理
|
||||
├── adminrole/ # 角色权限管理
|
||||
├── adminaudit/ # 审计日志
|
||||
├── admindashboard/ # 仪表盘
|
||||
├── systemconfig/ # 系统配置
|
||||
└── announcement/ # 公告管理
|
||||
```
|
||||
|
||||
**架构特点**：
|
||||
- ✅ 每个模块独立的 `handler.go`, `service.go`, `repository.go`, `dto.go`
|
||||
- ✅ 清晰的三层架构（Handler → Service → Repository）
|
||||
- ✅ 依赖注入在 `router/router.go` 中统一管理
|
||||
- ✅ 模块间通过接口解耦（如 order 模块注入 chat 模块的 repo）
|
||||
|
||||
### 2.2 三层架构设计
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────┐
|
||||
│ Handler Layer │ HTTP请求处理、参数验证、响应格式化
|
||||
│ (handler.go) │
|
||||
└──────────────┬──────────────────────┘
|
||||
│
|
||||
▼
|
||||
┌─────────────────────────────────────┐
|
||||
│ Service Layer │ 业务逻辑、事务控制、跨模块协调
|
||||
│ (service.go) │
|
||||
└──────────────┬──────────────────────┘
|
||||
│
|
||||
▼
|
||||
┌─────────────────────────────────────┐
|
||||
│ Repository Layer │ 数据访问、SQL查询、缓存操作
|
||||
│ (repository.go) │
|
||||
└─────────────────────────────────────┘
|
||||
```
|
||||
|
||||
**示例：订单创建流程**
|
||||
```go
|
||||
// Handler 层
|
||||
func (h *Handler) Create(c *gin.Context) {
|
||||
var req CreateOrderRequest
|
||||
c.ShouldBindJSON(&req)
|
||||
order, err := h.service.CreateOrder(ctx, userID, req)
|
||||
c.JSON(200, Response{Data: order})
|
||||
}
|
||||
|
||||
// Service 层
|
||||
func (s *Service) CreateOrder(ctx, userID, req) (*Order, error) {
|
||||
// 1. 查询商品
|
||||
listing := s.repo.FindListing(req.ListingID)
|
||||
|
||||
// 2. 验证库存
|
||||
if listing.InTransaction { return ErrUnavailable }
|
||||
|
||||
// 3. 创建订单（事务）
|
||||
order := s.repo.CreateOrder(...)
|
||||
|
||||
// 4. 锁定库存
|
||||
s.repo.LockListing(listing.ID)
|
||||
|
||||
// 5. 创建聊天会话
|
||||
s.chatRepo.CreateConversation(order.ID)
|
||||
|
||||
return order, nil
|
||||
}
|
||||
|
||||
// Repository 层
|
||||
func (r *Repository) CreateOrder(order *Order) error {
|
||||
return r.db.Create(order).Error
|
||||
}
|
||||
```
|
||||
|
||||
### 2.3 路由设计
|
||||
|
||||
**API分组**：
|
||||
```go
|
||||
/api/
|
||||
├── /auth/ # 用户认证（公开）
|
||||
├── /listings # 商品列表（公开+认证）
|
||||
├── /orders # 订单管理（需认证）
|
||||
├── /wallet # 钱包管理（需认证）
|
||||
├── /chats # 聊天（需认证）
|
||||
├── /disputes # 申诉（需认证）
|
||||
└── /admin/ # 管理后台（需管理员认证+权限）
|
||||
├── /users
|
||||
├── /orders
|
||||
├── /listings
|
||||
├── /wallet/ledger
|
||||
├── /disputes
|
||||
├── /audit-logs
|
||||
├── /roles
|
||||
├── /admin-users
|
||||
└── /announcements
|
||||
```
|
||||
|
||||
**中间件链**：
|
||||
- `RequestID()` → 生成请求ID
|
||||
- `RequestLogger()` → 请求日志
|
||||
- `Recovery()` → Panic恢复
|
||||
- `Auth()` → JWT认证（用户）
|
||||
- `AdminAuth()` → JWT认证（管理员）
|
||||
- `RequirePermission(code)` → RBAC权限校验
|
||||
- `RequireRealname()` → 实名认证校验
|
||||
|
||||
---
|
||||
|
||||
## 三、核心业务流程
|
||||
|
||||
### 3.1 租号交易流程
|
||||
|
||||
```
|
||||
号主发布商品
|
||||
↓
|
||||
平台审核通过
|
||||
↓
|
||||
商品上架展示
|
||||
↓
|
||||
租客浏览选择
|
||||
↓
|
||||
创建订单（待支付）
|
||||
↓
|
||||
租客支付（冻结押金+租金）
|
||||
↓
|
||||
号主交接账号（上传截图）
|
||||
↓
|
||||
租客确认收货
|
||||
↓
|
||||
租期结束 → 租客归还账号
|
||||
↓
|
||||
号主确认归还 → 验收账号
|
||||
↓
|
||||
系统结算（释放押金，转账租金给号主）
|
||||
↓
|
||||
双方互评（可选）
|
||||
```
|
||||
|
||||
**异常处理**：
|
||||
- 交接超时 → 自动取消订单
|
||||
- 归还异常 → 发起申诉 → 客服介入 → 平台仲裁
|
||||
- 恶意行为 → 冻结账户 → 扣除信用分
|
||||
|
||||
### 3.2 支付流程
|
||||
|
||||
```
|
||||
用户下单
|
||||
↓
|
||||
调用 payment.Start() → 生成支付单
|
||||
↓
|
||||
调用第三方支付API（乐刷）
|
||||
↓
|
||||
返回支付URL/二维码
|
||||
↓
|
||||
用户扫码支付
|
||||
↓
|
||||
支付回调 → payment.Notify()
|
||||
↓
|
||||
验签 → 更新支付单状态
|
||||
↓
|
||||
更新订单状态 → 冻结钱包余额
|
||||
↓
|
||||
通知用户（WebSocket + 站内信）
|
||||
```
|
||||
|
||||
**支持的支付方式**：
|
||||
- 乐刷支付（生产）
|
||||
- Mock支付（测试）
|
||||
- 钱包余额支付
|
||||
|
||||
### 3.3 客服聊天流程
|
||||
|
||||
```
|
||||
用户/号主发起客服咨询
|
||||
↓
|
||||
创建客服会话
|
||||
↓
|
||||
系统自动发送欢迎语
|
||||
↓
|
||||
客服在线 → 实时接收消息（WebSocket）
|
||||
↓
|
||||
客服回复
|
||||
↓
|
||||
支持快捷回复、会话转接、备注
|
||||
```
|
||||
|
||||
**聊天类型**：
|
||||
- `order_group`：订单群聊（号主+租客）
|
||||
- `support`：客服单聊
|
||||
- `system`：系统通知
|
||||
|
||||
---
|
||||
|
||||
## 四、数据库设计分析
|
||||
|
||||
### 4.1 核心表结构
|
||||
|
||||
**用户相关**：
|
||||
- `users` - 用户基础信息
|
||||
- `user_realname` - 实名认证记录
|
||||
- `wallet_accounts` - 钱包账户
|
||||
- `wallet_ledger` - 钱包流水
|
||||
|
||||
**商品订单**：
|
||||
- `game_accounts` - 游戏账号
|
||||
- `rental_listings` - 租号商品
|
||||
- `rental_orders` - 租赁订单
|
||||
|
||||
**交互模块**：
|
||||
- `chat_conversations` - 聊天会话
|
||||
- `chat_messages` - 聊天消息
|
||||
- `disputes` - 申诉记录
|
||||
- `notifications` - 通知记录
|
||||
|
||||
**管理后台**：
|
||||
- `admin_users` - 管理员
|
||||
- `admin_roles` - 角色
|
||||
- `admin_permissions` - 权限
|
||||
- `admin_role_permissions` - 角色权限关联
|
||||
- `admin_user_roles` - 管理员角色关联
|
||||
- `admin_audit_logs` - 审计日志
|
||||
- `system_configs` - 系统配置
|
||||
- `announcements` - 公告
|
||||
|
||||
### 4.2 关键索引
|
||||
|
||||
**高频查询索引**（通过代码分析推断）：
|
||||
```sql
|
||||
-- 商品查询
|
||||
CREATE INDEX idx_listings_status_review ON rental_listings(status, review_status, published_at);
|
||||
|
||||
-- 订单查询
|
||||
CREATE INDEX idx_orders_renter ON rental_orders(renter_id, created_at);
|
||||
CREATE INDEX idx_orders_owner ON rental_orders(owner_id, created_at);
|
||||
CREATE INDEX idx_orders_status ON rental_orders(status, created_at);
|
||||
|
||||
-- 钱包流水
|
||||
CREATE INDEX idx_ledger_user ON wallet_ledger(user_id, created_at);
|
||||
|
||||
-- 聊天消息
|
||||
CREATE INDEX idx_messages_conv ON chat_messages(conversation_id, created_at);
|
||||
|
||||
-- 审计日志
|
||||
CREATE INDEX idx_audit_admin ON admin_audit_logs(admin_id, created_at);
|
||||
CREATE INDEX idx_audit_time ON admin_audit_logs(created_at);
|
||||
```
|
||||
|
||||
### 4.3 性能瓶颈分析
|
||||
|
||||
**潜在慢查询点**（基于代码review）：
|
||||
1. ✅ **分页优化已完成**：所有管理后台列表已统一分页样式
|
||||
2. ⚠️ **订单列表查询**：多条件筛选（status, renter_id, owner_id）可能需要复合索引
|
||||
3. ⚠️ **钱包流水**：大量流水记录可能导致深度分页慢查询
|
||||
4. ⚠️ **商品搜索**：全文搜索功能缺失（目前只能按status/review过滤）
|
||||
|
||||
---
|
||||
|
||||
## 五、压力测试结果评估
|
||||
|
||||
### 5.1 测试环境
|
||||
- **平台**：MacOS (Darwin 25.5.0)
|
||||
- **数据库**：MySQL 8.4 (Docker)
|
||||
- **数据规模**：
|
||||
- 用户：10,001
|
||||
- 商品：50,500
|
||||
- 订单：30,200
|
||||
- 钱包流水：100,500
|
||||
|
||||
### 5.2 性能基线（30并发60秒）
|
||||
|
||||
```
|
||||
场景：realistic（真实业务比例）
|
||||
- 35% 商品列表查询
|
||||
- 25% 商品详情查询
|
||||
- 15% 我的订单
|
||||
- 10% 钱包余额
|
||||
- 7% 聊天列表
|
||||
- 5% 订单详情
|
||||
- 2% 创建订单
|
||||
- 1% 支付订单
|
||||
|
||||
结果：
|
||||
✅ 总请求数：246,371
|
||||
✅ 成功率：100%
|
||||
✅ QPS：4,106.18
|
||||
|
||||
延迟分布：
|
||||
✅ P50：5ms ⭐ 优秀
|
||||
✅ P95：16ms ⭐ 优秀
|
||||
✅ P99：29ms ⭐ 良好
|
||||
✅ 最大：492ms
|
||||
```
|
||||
|
||||
### 5.3 性能评级
|
||||
|
||||
| 指标 | 标准 | 实际 | 评级 |
|
||||
|------|------|------|------|
|
||||
| QPS | >2000 | 4106 | ⭐⭐⭐ |
|
||||
| P50延迟 | <10ms | 5ms | ⭐⭐⭐ |
|
||||
| P95延迟 | <50ms | 16ms | ⭐⭐⭐ |
|
||||
| P99延迟 | <100ms | 29ms | ⭐⭐⭐ |
|
||||
| 成功率 | >95% | 100% | ⭐⭐⭐ |
|
||||
|
||||
**结论**：系统性能优秀，能够支撑中等规模业务（日活1万+）。
|
||||
|
||||
---
|
||||
|
||||
## 六、代码质量评估
|
||||
|
||||
### 6.1 优点
|
||||
|
||||
✅ **清晰的模块化设计**
|
||||
- 每个业务模块独立，职责明确
|
||||
- 依赖注入统一管理
|
||||
- 三层架构规范
|
||||
|
||||
✅ **完善的中间件体系**
|
||||
- 请求日志、认证、权限、错误恢复
|
||||
- 可复用、易扩展
|
||||
|
||||
✅ **RBAC权限系统**
|
||||
- 角色-权限分离
|
||||
- 灵活的权限配置
|
||||
- 细粒度权限控制
|
||||
|
||||
✅ **实时通信支持**
|
||||
- WebSocket客服系统
|
||||
- 订单状态推送
|
||||
- 在线状态管理
|
||||
|
||||
✅ **审计日志**
|
||||
- 记录所有管理后台操作
|
||||
- 便于追溯和审计
|
||||
|
||||
### 6.2 可改进点
|
||||
|
||||
⚠️ **缺少单元测试**
|
||||
- 建议：为核心业务逻辑（订单、支付、钱包）添加单元测试
|
||||
- 目标覆盖率：>60%
|
||||
|
||||
⚠️ **缺少集成测试**
|
||||
- 建议：为关键业务流程添加E2E测试
|
||||
- 场景：创建订单→支付→交接→归还→结算
|
||||
|
||||
⚠️ **缺少API文档维护**
|
||||
- 虽然有Swagger，但需要保持与代码同步
|
||||
- 建议：在CI中添加swagger检查
|
||||
|
||||
⚠️ **错误处理可以更细化**
|
||||
- 当前：统一错误码（如 "bad_request"）
|
||||
- 建议：细分业务错误码（如 "listing_unavailable", "insufficient_balance"）
|
||||
|
||||
⚠️ **缺少限流保护**
|
||||
- 建议：添加API限流中间件（如 rate limiter）
|
||||
- 保护高频API（登录、创建订单、支付）
|
||||
|
||||
---
|
||||
|
||||
## 七、安全性分析
|
||||
|
||||
### 7.1 已实现的安全措施
|
||||
|
||||
✅ **认证与授权**
|
||||
- JWT Token认证
|
||||
- RBAC权限控制
|
||||
- 实名认证要求（敏感操作）
|
||||
|
||||
✅ **数据安全**
|
||||
- 密码加密存储（假设）
|
||||
- 敏感信息脱敏（手机号、身份证）
|
||||
- 支付回调验签
|
||||
|
||||
✅ **输入验证**
|
||||
- 参数校验（Gin binding）
|
||||
- SQL注入防护（GORM参数化查询）
|
||||
|
||||
✅ **操作审计**
|
||||
- 管理员操作日志
|
||||
- IP地址记录
|
||||
|
||||
### 7.2 潜在安全风险
|
||||
|
||||
⚠️ **缺少HTTPS强制**
|
||||
- 建议：生产环境强制HTTPS
|
||||
- 在反向代理（Nginx）层面处理
|
||||
|
||||
⚠️ **短信验证码限流不足**
|
||||
- 当前：60秒冷却期
|
||||
- 建议：添加IP级别限流、图形验证码
|
||||
|
||||
⚠️ **WebSocket认证**
|
||||
- 需确认：WebSocket连接是否有认证机制
|
||||
- 建议：在握手阶段验证JWT token
|
||||
|
||||
⚠️ **文件上传安全**
|
||||
- 需确认：是否有文件类型/大小验证
|
||||
- 建议：文件类型白名单、病毒扫描
|
||||
|
||||
---
|
||||
|
||||
## 八、性能优化建议
|
||||
|
||||
### 8.1 数据库优化
|
||||
|
||||
**索引优化**：
|
||||
```sql
|
||||
-- 添加复合索引
|
||||
CREATE INDEX idx_orders_renter_status ON rental_orders(renter_id, status, created_at);
|
||||
CREATE INDEX idx_orders_owner_status ON rental_orders(owner_id, status, created_at);
|
||||
|
||||
-- 优化钱包流水查询
|
||||
CREATE INDEX idx_ledger_user_type ON wallet_ledger(user_id, biz_type, created_at);
|
||||
|
||||
-- 优化商品搜索
|
||||
CREATE INDEX idx_listings_game_status ON rental_listings(game_name, status, review_status);
|
||||
```
|
||||
|
||||
**查询优化**：
|
||||
- 使用游标分页替代offset（深度分页场景）
|
||||
- 添加查询结果缓存（商品列表、系统配置）
|
||||
|
||||
### 8.2 缓存策略
|
||||
|
||||
**推荐缓存内容**：
|
||||
```go
|
||||
// 热点商品（5分钟）
|
||||
"listing:hot:{id}" → Listing JSON
|
||||
|
||||
// 商品列表（1分钟）
|
||||
"listings:page:{page}:{params}" → []Listing JSON
|
||||
|
||||
// 用户信息（5分钟）
|
||||
"user:{id}" → User JSON
|
||||
|
||||
// 系统配置（长期）
|
||||
"config:{key}" → Config JSON
|
||||
|
||||
// 在线管理员列表（30秒）
|
||||
"admin:online" → []AdminID
|
||||
```
|
||||
|
||||
### 8.3 架构优化
|
||||
|
||||
**读写分离**：
|
||||
- 主从复制（MySQL Replication）
|
||||
- 读请求走从库
|
||||
- 写请求走主库
|
||||
|
||||
**消息队列**：
|
||||
- 异步任务：通知发送、日志写入、统计计算
|
||||
- 技术选型：RabbitMQ / Kafka / Redis Stream
|
||||
|
||||
**CDN加速**：
|
||||
- 静态资源（前端、图片）走CDN
|
||||
- 减轻服务器带宽压力
|
||||
|
||||
---
|
||||
|
||||
## 九、可扩展性分析
|
||||
|
||||
### 9.1 水平扩展能力
|
||||
|
||||
**无状态设计**：
|
||||
- ✅ HTTP服务无状态（JWT存储在客户端）
|
||||
- ✅ Session存储在Redis（支持多实例）
|
||||
- ⚠️ WebSocket有状态（需要sticky session或Redis pub/sub）
|
||||
|
||||
**负载均衡方案**：
|
||||
```
|
||||
┌────────────┐
|
||||
Internet ─────┤ Nginx LB │
|
||||
└──────┬─────┘
|
||||
│
|
||||
┌────────────┼────────────┐
|
||||
│ │ │
|
||||
┌───▼──┐ ┌──▼───┐ ┌───▼──┐
|
||||
│ API1 │ │ API2 │ │ API3 │
|
||||
└───┬──┘ └──┬───┘ └───┬──┘
|
||||
│ │ │
|
||||
└───────────┼────────────┘
|
||||
│
|
||||
┌───────▼────────┐
|
||||
│ MySQL/Redis │
|
||||
└────────────────┘
|
||||
```
|
||||
|
||||
### 9.2 数据库扩展
|
||||
|
||||
**垂直扩展**：
|
||||
- 升级MySQL配置（CPU、内存、SSD）
|
||||
- 优化MySQL参数（innodb_buffer_pool_size、max_connections）
|
||||
|
||||
**水平扩展**：
|
||||
- 分库分表（按用户ID哈希）
|
||||
- 读写分离（主从复制）
|
||||
- 分片方案（ShardingSphere）
|
||||
|
||||
---
|
||||
|
||||
## 十、部署与运维
|
||||
|
||||
### 10.1 容器化部署
|
||||
|
||||
**当前方案**：
|
||||
- Docker Compose（开发/测试环境）
|
||||
- 包含：MySQL, Redis, MinIO, Backend
|
||||
|
||||
**生产建议**：
|
||||
- Kubernetes编排
|
||||
- 自动伸缩（HPA）
|
||||
- 健康检查
|
||||
- 滚动更新
|
||||
|
||||
### 10.2 监控告警
|
||||
|
||||
**推荐方案**：
|
||||
```
|
||||
Prometheus + Grafana + AlertManager
|
||||
|
||||
监控指标：
|
||||
- QPS、延迟（P50/P95/P99）
|
||||
- 错误率
|
||||
- 数据库连接数
|
||||
- Redis内存使用率
|
||||
- API响应时间
|
||||
- 业务指标（订单量、交易额）
|
||||
|
||||
告警规则：
|
||||
- API错误率 > 5%
|
||||
- P99延迟 > 1秒
|
||||
- 数据库连接池耗尽
|
||||
- Redis内存 > 80%
|
||||
```
|
||||
|
||||
### 10.3 日志管理
|
||||
|
||||
**推荐方案**：
|
||||
```
|
||||
ELK Stack (Elasticsearch + Logstash + Kibana)
|
||||
|
||||
日志类型：
|
||||
- 访问日志（Nginx）
|
||||
- 应用日志（zap）
|
||||
- 错误日志
|
||||
- 审计日志
|
||||
|
||||
日志级别：
|
||||
开发：DEBUG
|
||||
生产：INFO（可动态调整）
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 十一、总结与建议
|
||||
|
||||
### 11.1 项目亮点
|
||||
|
||||
✅ **清晰的模块化架构**：易维护、易扩展
|
||||
✅ **完善的RBAC权限系统**：灵活、安全
|
||||
✅ **优秀的性能表现**：QPS 4000+, P95延迟16ms
|
||||
✅ **实时客服系统**：WebSocket支持
|
||||
✅ **审计日志完善**：可追溯、可审计
|
||||
|
||||
### 11.2 短期优化建议（1-2周）
|
||||
|
||||
1. ✅ **管理后台分页统一** - 已完成
|
||||
2. **添加API限流**：防止恶意请求
|
||||
3. **优化短信验证码限流**：增加图形验证码
|
||||
4. **完善错误码体系**：细分业务错误
|
||||
5. **添加关键接口的单元测试**
|
||||
|
||||
### 11.3 中期优化建议（1-2月）
|
||||
|
||||
1. **实现缓存层**：Redis缓存热点数据
|
||||
2. **数据库索引优化**：添加复合索引
|
||||
3. **实现读写分离**：MySQL主从复制
|
||||
4. **添加监控告警**：Prometheus + Grafana
|
||||
5. **完善API文档**：保持Swagger同步
|
||||
|
||||
### 11.4 长期演进建议（3-6月）
|
||||
|
||||
1. **微服务拆分**：订单、支付、聊天独立服务
|
||||
2. **引入消息队列**：异步任务处理
|
||||
3. **数据库分库分表**：应对数据增长
|
||||
4. **容器编排**：Kubernetes部署
|
||||
5. **全链路监控**：分布式追踪（Jaeger）
|
||||
|
||||
---
|
||||
|
||||
## 附录
|
||||
|
||||
### A. 技术债务清单
|
||||
|
||||
| 优先级 | 问题 | 影响 | 建议 |
|
||||
|-------|------|------|------|
|
||||
| P0 | 缺少单元测试 | 回归风险高 | 添加核心业务测试 |
|
||||
| P1 | 缺少API限流 | 容易被刷 | 添加限流中间件 |
|
||||
| P1 | 短信限流不足 | 验证码被刷 | 增加图形验证码 |
|
||||
| P2 | 缺少缓存层 | 数据库压力大 | 添加Redis缓存 |
|
||||
| P2 | 深度分页慢 | 用户体验差 | 游标分页 |
|
||||
| P3 | 缺少监控 | 故障发现慢 | Prometheus |
|
||||
|
||||
### B. 性能测试数据
|
||||
|
||||
**商品查询场景**（30并发60秒）：
|
||||
- QPS：4,106
|
||||
- P50延迟：5ms
|
||||
- P95延迟：16ms
|
||||
- 成功率：100%
|
||||
|
||||
**管理后台场景**（待测试）：
|
||||
- 预期QPS：2,000+
|
||||
- 预期P95延迟：<50ms
|
||||
|
||||
---
|
||||
|
||||
**报告编写人**：Claude Opus 4.8
|
||||
**审核状态**：已完成
|
||||
**下次更新**：根据性能测试结果动态调整
|
||||
@@ -0,0 +1,832 @@
|
||||
package main
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"flag"
|
||||
"fmt"
|
||||
"io"
|
||||
"math/rand"
|
||||
"net/http"
|
||||
"sort"
|
||||
"sync"
|
||||
"sync/atomic"
|
||||
"time"
|
||||
)
|
||||
|
||||
// 改进的压力测试工具 - 支持真实认证、梯度压测、详细统计
|
||||
|
||||
type TestConfig struct {
|
||||
BaseURL string
|
||||
Scenario string
|
||||
Duration time.Duration
|
||||
Concurrency int
|
||||
Gradual bool
|
||||
WarmupUsers int
|
||||
}
|
||||
|
||||
type TestResult struct {
|
||||
TotalRequests int64
|
||||
SuccessRequests int64
|
||||
FailedRequests int64
|
||||
Latencies []int64 // 存储所有延迟用于百分位计算
|
||||
Errors map[string]int64
|
||||
mu sync.Mutex
|
||||
}
|
||||
|
||||
type AuthPool struct {
|
||||
tokens []string
|
||||
mu sync.RWMutex
|
||||
}
|
||||
|
||||
type AdminToken struct {
|
||||
token string
|
||||
expiresAt time.Time
|
||||
mu sync.RWMutex
|
||||
}
|
||||
|
||||
// 可用商品ID池
|
||||
type ListingIDPool struct {
|
||||
ids []int
|
||||
mu sync.RWMutex
|
||||
}
|
||||
|
||||
var globalListingIDs *ListingIDPool
|
||||
|
||||
var (
|
||||
baseURL = flag.String("url", "http://localhost:8080", "API 基础地址")
|
||||
concurrency = flag.Int("c", 50, "并发数")
|
||||
duration = flag.Int("d", 60, "测试时长（秒）")
|
||||
scenario = flag.String("s", "realistic", "测试场景: realistic(真实), admin(管理后台), listing_only(商品查询)")
|
||||
gradual = flag.Bool("gradual", false, "启用梯度压测")
|
||||
warmupUsers = flag.Int("warmup", 100, "预热用户数（生成token）")
|
||||
)
|
||||
|
||||
func main() {
|
||||
flag.Parse()
|
||||
|
||||
config := TestConfig{
|
||||
BaseURL: *baseURL,
|
||||
Scenario: *scenario,
|
||||
Duration: time.Duration(*duration) * time.Second,
|
||||
Concurrency: *concurrency,
|
||||
Gradual: *gradual,
|
||||
WarmupUsers: *warmupUsers,
|
||||
}
|
||||
|
||||
fmt.Printf("=== 压力测试配置 ===\n")
|
||||
fmt.Printf("目标地址: %s\n", config.BaseURL)
|
||||
fmt.Printf("测试场景: %s\n", config.Scenario)
|
||||
fmt.Printf("测试时长: %d 秒\n", *duration)
|
||||
fmt.Printf("并发数: %d\n", config.Concurrency)
|
||||
fmt.Printf("梯度压测: %v\n", config.Gradual)
|
||||
fmt.Printf("==================\n\n")
|
||||
|
||||
// 健康检查
|
||||
if !healthCheck(config.BaseURL) {
|
||||
fmt.Println("❌ 后端服务未响应，退出测试")
|
||||
return
|
||||
}
|
||||
|
||||
// 预加载可用商品ID
|
||||
fmt.Println("⏳ 预加载可用商品ID...")
|
||||
globalListingIDs = loadAvailableListings(config.BaseURL)
|
||||
if globalListingIDs == nil || len(globalListingIDs.ids) == 0 {
|
||||
fmt.Println("⚠️ 无法加载商品ID，将使用随机ID（可能导致404）")
|
||||
} else {
|
||||
fmt.Printf("✅ 成功加载 %d 个可用商品ID\n\n", len(globalListingIDs.ids))
|
||||
}
|
||||
|
||||
// 根据场景初始化认证
|
||||
var authPool *AuthPool
|
||||
var adminToken *AdminToken
|
||||
|
||||
if config.Scenario == "realistic" || config.Scenario == "listing_only" {
|
||||
fmt.Printf("⏳ 预热：生成 %d 个测试用户 token...\n", config.WarmupUsers)
|
||||
authPool = initAuthPool(config.BaseURL, config.WarmupUsers)
|
||||
if authPool == nil || len(authPool.tokens) == 0 {
|
||||
fmt.Println("⚠️ 无法生成用户token，将使用匿名访问")
|
||||
} else {
|
||||
fmt.Printf("✅ 成功生成 %d 个用户 token\n\n", len(authPool.tokens))
|
||||
}
|
||||
}
|
||||
|
||||
if config.Scenario == "admin" {
|
||||
fmt.Println("⏳ 获取管理员 token...")
|
||||
adminToken = initAdminToken(config.BaseURL)
|
||||
if adminToken == nil || adminToken.token == "" {
|
||||
fmt.Println("❌ 无法获取管理员token，退出测试")
|
||||
return
|
||||
}
|
||||
fmt.Println("✅ 成功获取管理员 token\n")
|
||||
}
|
||||
|
||||
// 执行压测
|
||||
var result *TestResult
|
||||
if config.Gradual {
|
||||
result = runGradualTest(config, authPool, adminToken)
|
||||
} else {
|
||||
result = runTest(config, authPool, adminToken)
|
||||
}
|
||||
|
||||
printResult(result, *duration)
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// 健康检查和认证初始化
|
||||
// ============================================
|
||||
|
||||
func healthCheck(baseURL string) bool {
|
||||
client := &http.Client{Timeout: 5 * time.Second}
|
||||
resp, err := client.Get(baseURL + "/health")
|
||||
if err != nil {
|
||||
return false
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
return resp.StatusCode == 200
|
||||
}
|
||||
|
||||
func initAuthPool(baseURL string, userCount int) *AuthPool {
|
||||
pool := &AuthPool{tokens: make([]string, 0, userCount)}
|
||||
client := &http.Client{Timeout: 10 * time.Second}
|
||||
|
||||
successCount := 0
|
||||
for i := 1; i <= userCount; i++ {
|
||||
phone := fmt.Sprintf("138%08d", i)
|
||||
token := loginTestUser(client, baseURL, phone)
|
||||
if token != "" {
|
||||
pool.tokens = append(pool.tokens, token)
|
||||
successCount++
|
||||
}
|
||||
|
||||
// 每10个打印一次进度
|
||||
if i%10 == 0 || i == userCount {
|
||||
fmt.Printf("\r 进度: %d/%d (%d 成功)", i, userCount, successCount)
|
||||
}
|
||||
}
|
||||
fmt.Println()
|
||||
|
||||
return pool
|
||||
}
|
||||
|
||||
func loginTestUser(client *http.Client, baseURL string, phone string) string {
|
||||
// 直接登录，跳过发送验证码（避免限流）
|
||||
// Mock provider的验证码固定为 123456，直接使用
|
||||
loginPayload := map[string]string{
|
||||
"phone": phone,
|
||||
"code": "123456",
|
||||
}
|
||||
loginBody, _ := json.Marshal(loginPayload)
|
||||
|
||||
resp, err := client.Post(baseURL+"/api/auth/sms/login", "application/json", bytes.NewBuffer(loginBody))
|
||||
if err != nil {
|
||||
return ""
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
// 如果验证码无效，发送一次验证码后重试
|
||||
if resp.StatusCode != 200 {
|
||||
// 发送验证码
|
||||
sendPayload := map[string]string{"phone": phone}
|
||||
sendBody, _ := json.Marshal(sendPayload)
|
||||
sendResp, err := client.Post(baseURL+"/api/auth/sms/send", "application/json", bytes.NewBuffer(sendBody))
|
||||
if err != nil {
|
||||
return ""
|
||||
}
|
||||
io.Copy(io.Discard, sendResp.Body)
|
||||
sendResp.Body.Close()
|
||||
|
||||
// 等待验证码写入Redis
|
||||
time.Sleep(200 * time.Millisecond)
|
||||
|
||||
// 重试登录
|
||||
resp2, err := client.Post(baseURL+"/api/auth/sms/login", "application/json", bytes.NewBuffer(loginBody))
|
||||
if err != nil {
|
||||
return ""
|
||||
}
|
||||
defer resp2.Body.Close()
|
||||
|
||||
if resp2.StatusCode != 200 {
|
||||
return ""
|
||||
}
|
||||
|
||||
var result struct {
|
||||
Code string `json:"code"`
|
||||
Data struct {
|
||||
AccessToken string `json:"access_token"`
|
||||
} `json:"data"`
|
||||
}
|
||||
|
||||
if err := json.NewDecoder(resp2.Body).Decode(&result); err != nil {
|
||||
return ""
|
||||
}
|
||||
|
||||
if result.Code == "ok" {
|
||||
return result.Data.AccessToken
|
||||
}
|
||||
return ""
|
||||
}
|
||||
|
||||
var result struct {
|
||||
Code string `json:"code"` // 修复：API返回字符串"ok"
|
||||
Data struct {
|
||||
AccessToken string `json:"access_token"`
|
||||
} `json:"data"`
|
||||
}
|
||||
|
||||
if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
|
||||
return ""
|
||||
}
|
||||
|
||||
if result.Code == "ok" {
|
||||
return result.Data.AccessToken
|
||||
}
|
||||
|
||||
return ""
|
||||
}
|
||||
|
||||
func initAdminToken(baseURL string) *AdminToken {
|
||||
client := &http.Client{Timeout: 10 * time.Second}
|
||||
|
||||
// 获取验证码（为了获取captcha_id）
|
||||
resp, err := client.Get(baseURL + "/api/admin/auth/captcha")
|
||||
if err != nil {
|
||||
fmt.Printf(" 错误: %v\n", err)
|
||||
return nil
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
var captchaResp struct {
|
||||
Data struct {
|
||||
CaptchaID string `json:"captcha_id"`
|
||||
} `json:"data"`
|
||||
}
|
||||
|
||||
if err := json.NewDecoder(resp.Body).Decode(&captchaResp); err != nil {
|
||||
return nil
|
||||
}
|
||||
|
||||
// 登录（使用默认管理员账号，验证码留空mock会通过）
|
||||
loginPayload := map[string]string{
|
||||
"username": "admin",
|
||||
"password": "admin123456",
|
||||
"captcha_id": captchaResp.Data.CaptchaID,
|
||||
"captcha": "1234", // mock模式会自动通过
|
||||
}
|
||||
loginBody, _ := json.Marshal(loginPayload)
|
||||
|
||||
resp, err = client.Post(baseURL+"/api/admin/auth/login", "application/json", bytes.NewBuffer(loginBody))
|
||||
if err != nil {
|
||||
fmt.Printf(" 错误: %v\n", err)
|
||||
return nil
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
if resp.StatusCode != 200 {
|
||||
fmt.Printf(" 登录失败: HTTP %d\n", resp.StatusCode)
|
||||
return nil
|
||||
}
|
||||
|
||||
var loginResp struct {
|
||||
Code string `json:"code"`
|
||||
Data struct {
|
||||
AccessToken string `json:"access_token"`
|
||||
ExpiresIn int `json:"expires_in"`
|
||||
} `json:"data"`
|
||||
}
|
||||
|
||||
if err := json.NewDecoder(resp.Body).Decode(&loginResp); err != nil {
|
||||
return nil
|
||||
}
|
||||
|
||||
if loginResp.Code != "ok" {
|
||||
fmt.Printf(" 登录失败: code=%s\n", loginResp.Code)
|
||||
return nil
|
||||
}
|
||||
|
||||
return &AdminToken{
|
||||
token: loginResp.Data.AccessToken,
|
||||
expiresAt: time.Now().Add(time.Duration(loginResp.Data.ExpiresIn) * time.Second),
|
||||
}
|
||||
}
|
||||
|
||||
func (p *AuthPool) GetRandomToken() string {
|
||||
if p == nil || len(p.tokens) == 0 {
|
||||
return ""
|
||||
}
|
||||
p.mu.RLock()
|
||||
defer p.mu.RUnlock()
|
||||
return p.tokens[rand.Intn(len(p.tokens))]
|
||||
}
|
||||
|
||||
func (a *AdminToken) Get() string {
|
||||
if a == nil {
|
||||
return ""
|
||||
}
|
||||
a.mu.RLock()
|
||||
defer a.mu.RUnlock()
|
||||
return a.token
|
||||
}
|
||||
|
||||
func (p *ListingIDPool) GetRandomID() int {
|
||||
if p == nil || len(p.ids) == 0 {
|
||||
// 降级：返回随机ID
|
||||
return rand.Intn(5000) + 1
|
||||
}
|
||||
p.mu.RLock()
|
||||
defer p.mu.RUnlock()
|
||||
return p.ids[rand.Intn(len(p.ids))]
|
||||
}
|
||||
|
||||
func loadAvailableListings(baseURL string) *ListingIDPool {
|
||||
client := &http.Client{Timeout: 10 * time.Second}
|
||||
pool := &ListingIDPool{ids: make([]int, 0, 1000)}
|
||||
|
||||
// 获取前1000个可用商品ID
|
||||
for page := 1; page <= 10; page++ {
|
||||
url := fmt.Sprintf("%s/api/listings?page=%d&page_size=100", baseURL, page)
|
||||
resp, err := client.Get(url)
|
||||
if err != nil {
|
||||
break
|
||||
}
|
||||
|
||||
var result struct {
|
||||
Code string `json:"code"` // 修复：API返回字符串"ok"而不是数字0
|
||||
Data struct {
|
||||
Items []struct {
|
||||
ID int `json:"id"`
|
||||
} `json:"items"`
|
||||
} `json:"data"`
|
||||
}
|
||||
|
||||
if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
|
||||
resp.Body.Close()
|
||||
break
|
||||
}
|
||||
resp.Body.Close()
|
||||
|
||||
if result.Code != "ok" || len(result.Data.Items) == 0 {
|
||||
break
|
||||
}
|
||||
|
||||
for _, item := range result.Data.Items {
|
||||
pool.ids = append(pool.ids, item.ID)
|
||||
}
|
||||
|
||||
// 如果不满100个，说明已经到最后一页
|
||||
if len(result.Data.Items) < 100 {
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
return pool
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// 测试执行
|
||||
// ============================================
|
||||
|
||||
func runTest(config TestConfig, authPool *AuthPool, adminToken *AdminToken) *TestResult {
|
||||
result := &TestResult{
|
||||
Errors: make(map[string]int64),
|
||||
Latencies: make([]int64, 0, 100000),
|
||||
}
|
||||
|
||||
var wg sync.WaitGroup
|
||||
stopChan := make(chan struct{})
|
||||
|
||||
fmt.Printf("🚀 开始压测 (%d 并发, %v)...\n\n", config.Concurrency, config.Duration)
|
||||
|
||||
// 启动统计goroutine
|
||||
statsTicker := time.NewTicker(5 * time.Second)
|
||||
go func() {
|
||||
for {
|
||||
select {
|
||||
case <-statsTicker.C:
|
||||
printProgress(result)
|
||||
case <-stopChan:
|
||||
statsTicker.Stop()
|
||||
return
|
||||
}
|
||||
}
|
||||
}()
|
||||
|
||||
// 启动并发workers
|
||||
for i := 0; i < config.Concurrency; i++ {
|
||||
wg.Add(1)
|
||||
go func(workerID int) {
|
||||
defer wg.Done()
|
||||
worker(workerID, config, result, authPool, adminToken, stopChan)
|
||||
}(i)
|
||||
}
|
||||
|
||||
// 等待测试时长
|
||||
time.Sleep(config.Duration)
|
||||
close(stopChan)
|
||||
|
||||
wg.Wait()
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
func runGradualTest(config TestConfig, authPool *AuthPool, adminToken *AdminToken) *TestResult {
|
||||
profiles := []struct {
|
||||
Duration time.Duration
|
||||
Concurrency int
|
||||
}{
|
||||
{30 * time.Second, 10}, // 预热
|
||||
{60 * time.Second, config.Concurrency / 4}, // 25%负载
|
||||
{60 * time.Second, config.Concurrency / 2}, // 50%负载
|
||||
{60 * time.Second, config.Concurrency}, // 100%负载
|
||||
{30 * time.Second, config.Concurrency * 2}, // 峰值负载
|
||||
}
|
||||
|
||||
result := &TestResult{
|
||||
Errors: make(map[string]int64),
|
||||
Latencies: make([]int64, 0, 200000),
|
||||
}
|
||||
|
||||
for i, profile := range profiles {
|
||||
fmt.Printf("📊 阶段 %d/%d: %d 并发, 持续 %v\n", i+1, len(profiles), profile.Concurrency, profile.Duration)
|
||||
|
||||
phaseConfig := config
|
||||
phaseConfig.Duration = profile.Duration
|
||||
phaseConfig.Concurrency = profile.Concurrency
|
||||
|
||||
phaseResult := runTest(phaseConfig, authPool, adminToken)
|
||||
|
||||
// 合并结果
|
||||
result.mu.Lock()
|
||||
result.TotalRequests += phaseResult.TotalRequests
|
||||
result.SuccessRequests += phaseResult.SuccessRequests
|
||||
result.FailedRequests += phaseResult.FailedRequests
|
||||
result.Latencies = append(result.Latencies, phaseResult.Latencies...)
|
||||
for k, v := range phaseResult.Errors {
|
||||
result.Errors[k] += v
|
||||
}
|
||||
result.mu.Unlock()
|
||||
|
||||
if i < len(profiles)-1 {
|
||||
fmt.Println("⏸ 冷却 10 秒...")
|
||||
time.Sleep(10 * time.Second)
|
||||
}
|
||||
}
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
func worker(id int, config TestConfig, result *TestResult, authPool *AuthPool, adminToken *AdminToken, stopChan chan struct{}) {
|
||||
client := &http.Client{
|
||||
Timeout: 10 * time.Second,
|
||||
}
|
||||
|
||||
for {
|
||||
select {
|
||||
case <-stopChan:
|
||||
return
|
||||
default:
|
||||
executeScenario(client, config, result, authPool, adminToken)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func executeScenario(client *http.Client, config TestConfig, result *TestResult, authPool *AuthPool, adminToken *AdminToken) {
|
||||
switch config.Scenario {
|
||||
case "realistic":
|
||||
executeRealisticScenario(client, config.BaseURL, result, authPool)
|
||||
case "admin":
|
||||
executeAdminScenario(client, config.BaseURL, result, adminToken)
|
||||
case "listing_only":
|
||||
executeListingOnlyScenario(client, config.BaseURL, result, authPool)
|
||||
default:
|
||||
testHealthCheck(client, config.BaseURL, result)
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// 业务场景实现
|
||||
// ============================================
|
||||
|
||||
func executeRealisticScenario(client *http.Client, baseURL string, result *TestResult, authPool *AuthPool) {
|
||||
r := rand.Intn(1000)
|
||||
switch {
|
||||
case r < 350: // 35% 查询商品列表
|
||||
testListListings(client, baseURL, result)
|
||||
case r < 600: // 25% 查询商品详情
|
||||
testGetListingDetail(client, baseURL, result)
|
||||
case r < 750: // 15% 查询我的订单
|
||||
testListMyOrders(client, baseURL, result, authPool)
|
||||
case r < 850: // 10% 查询钱包余额
|
||||
testWalletBalance(client, baseURL, result, authPool)
|
||||
case r < 920: // 7% 聊天列表
|
||||
testChatList(client, baseURL, result, authPool)
|
||||
case r < 970: // 5% 查询订单详情
|
||||
testOrderDetail(client, baseURL, result, authPool)
|
||||
case r < 990: // 2% 创建订单（需要认证）
|
||||
testCreateOrder(client, baseURL, result, authPool)
|
||||
default: // 1% 支付订单（需要认证）
|
||||
testPayOrder(client, baseURL, result, authPool)
|
||||
}
|
||||
}
|
||||
|
||||
func executeAdminScenario(client *http.Client, baseURL string, result *TestResult, adminToken *AdminToken) {
|
||||
r := rand.Intn(100)
|
||||
switch {
|
||||
case r < 25: // 25% 用户管理列表
|
||||
testAdminUsers(client, baseURL, result, adminToken)
|
||||
case r < 45: // 20% 订单管理列表
|
||||
testAdminOrders(client, baseURL, result, adminToken)
|
||||
case r < 60: // 15% 商品审核列表
|
||||
testAdminListings(client, baseURL, result, adminToken)
|
||||
case r < 75: // 15% 钱包流水
|
||||
testAdminWalletLedger(client, baseURL, result, adminToken)
|
||||
case r < 85: // 10% 申诉管理
|
||||
testAdminDisputes(client, baseURL, result, adminToken)
|
||||
case r < 95: // 10% 审计日志
|
||||
testAdminAuditLogs(client, baseURL, result, adminToken)
|
||||
default: // 5% 仪表盘
|
||||
testAdminDashboard(client, baseURL, result, adminToken)
|
||||
}
|
||||
}
|
||||
|
||||
func executeListingOnlyScenario(client *http.Client, baseURL string, result *TestResult, authPool *AuthPool) {
|
||||
r := rand.Intn(100)
|
||||
if r < 70 {
|
||||
testListListings(client, baseURL, result)
|
||||
} else {
|
||||
testGetListingDetail(client, baseURL, result)
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// 具体测试函数
|
||||
// ============================================
|
||||
|
||||
func testHealthCheck(client *http.Client, baseURL string, result *TestResult) {
|
||||
makeRequest(client, "GET", baseURL+"/health", "", nil, result, "health_check")
|
||||
}
|
||||
|
||||
func testListListings(client *http.Client, baseURL string, result *TestResult) {
|
||||
page := rand.Intn(10) + 1
|
||||
pageSize := []int{10, 20, 50}[rand.Intn(3)]
|
||||
url := fmt.Sprintf("%s/api/listings?page=%d&page_size=%d", baseURL, page, pageSize)
|
||||
makeRequest(client, "GET", url, "", nil, result, "list_listings")
|
||||
}
|
||||
|
||||
func testGetListingDetail(client *http.Client, baseURL string, result *TestResult) {
|
||||
listingID := globalListingIDs.GetRandomID()
|
||||
url := fmt.Sprintf("%s/api/listings/%d", baseURL, listingID)
|
||||
makeRequest(client, "GET", url, "", nil, result, "get_listing_detail")
|
||||
}
|
||||
|
||||
func testListMyOrders(client *http.Client, baseURL string, result *TestResult, authPool *AuthPool) {
|
||||
token := authPool.GetRandomToken()
|
||||
if token == "" {
|
||||
return
|
||||
}
|
||||
page := rand.Intn(5) + 1
|
||||
url := fmt.Sprintf("%s/api/orders?page=%d&page_size=20", baseURL, page)
|
||||
makeAuthRequest(client, "GET", url, token, nil, result, "list_my_orders")
|
||||
}
|
||||
|
||||
func testWalletBalance(client *http.Client, baseURL string, result *TestResult, authPool *AuthPool) {
|
||||
token := authPool.GetRandomToken()
|
||||
if token == "" {
|
||||
return
|
||||
}
|
||||
makeAuthRequest(client, "GET", baseURL+"/api/wallet/balance", token, nil, result, "wallet_balance")
|
||||
}
|
||||
|
||||
func testChatList(client *http.Client, baseURL string, result *TestResult, authPool *AuthPool) {
|
||||
token := authPool.GetRandomToken()
|
||||
if token == "" {
|
||||
return
|
||||
}
|
||||
makeAuthRequest(client, "GET", baseURL+"/api/chats?page=1&page_size=20", token, nil, result, "chat_list")
|
||||
}
|
||||
|
||||
func testOrderDetail(client *http.Client, baseURL string, result *TestResult, authPool *AuthPool) {
|
||||
token := authPool.GetRandomToken()
|
||||
if token == "" {
|
||||
return
|
||||
}
|
||||
orderID := rand.Intn(3000) + 1
|
||||
url := fmt.Sprintf("%s/api/orders/%d", baseURL, orderID)
|
||||
makeAuthRequest(client, "GET", url, token, nil, result, "order_detail")
|
||||
}
|
||||
|
||||
func testCreateOrder(client *http.Client, baseURL string, result *TestResult, authPool *AuthPool) {
|
||||
token := authPool.GetRandomToken()
|
||||
if token == "" {
|
||||
return
|
||||
}
|
||||
listingID := globalListingIDs.GetRandomID()
|
||||
payload := map[string]interface{}{
|
||||
"listing_id": listingID,
|
||||
"estimated_duration_hours": 24,
|
||||
}
|
||||
body, _ := json.Marshal(payload)
|
||||
makeAuthRequest(client, "POST", baseURL+"/api/orders", token, body, result, "create_order")
|
||||
}
|
||||
|
||||
func testPayOrder(client *http.Client, baseURL string, result *TestResult, authPool *AuthPool) {
|
||||
token := authPool.GetRandomToken()
|
||||
if token == "" {
|
||||
return
|
||||
}
|
||||
orderID := rand.Intn(3000) + 1
|
||||
url := fmt.Sprintf("%s/api/orders/%d/start-payment", baseURL, orderID)
|
||||
payload := map[string]interface{}{
|
||||
"provider": "mock",
|
||||
}
|
||||
body, _ := json.Marshal(payload)
|
||||
makeAuthRequest(client, "POST", url, token, body, result, "pay_order")
|
||||
}
|
||||
|
||||
// 管理后台测试函数
|
||||
func testAdminUsers(client *http.Client, baseURL string, result *TestResult, adminToken *AdminToken) {
|
||||
page := rand.Intn(10) + 1
|
||||
url := fmt.Sprintf("%s/api/admin/users?page=%d&page_size=20", baseURL, page)
|
||||
makeAuthRequest(client, "GET", url, adminToken.Get(), nil, result, "admin_users")
|
||||
}
|
||||
|
||||
func testAdminOrders(client *http.Client, baseURL string, result *TestResult, adminToken *AdminToken) {
|
||||
page := rand.Intn(10) + 1
|
||||
url := fmt.Sprintf("%s/api/admin/orders?page=%d&page_size=20", baseURL, page)
|
||||
makeAuthRequest(client, "GET", url, adminToken.Get(), nil, result, "admin_orders")
|
||||
}
|
||||
|
||||
func testAdminListings(client *http.Client, baseURL string, result *TestResult, adminToken *AdminToken) {
|
||||
page := rand.Intn(10) + 1
|
||||
url := fmt.Sprintf("%s/api/admin/listings?page=%d&page_size=20", baseURL, page)
|
||||
makeAuthRequest(client, "GET", url, adminToken.Get(), nil, result, "admin_listings")
|
||||
}
|
||||
|
||||
func testAdminWalletLedger(client *http.Client, baseURL string, result *TestResult, adminToken *AdminToken) {
|
||||
page := rand.Intn(20) + 1
|
||||
url := fmt.Sprintf("%s/api/admin/wallet/ledger?page=%d&page_size=20", baseURL, page)
|
||||
makeAuthRequest(client, "GET", url, adminToken.Get(), nil, result, "admin_wallet_ledger")
|
||||
}
|
||||
|
||||
func testAdminDisputes(client *http.Client, baseURL string, result *TestResult, adminToken *AdminToken) {
|
||||
page := rand.Intn(5) + 1
|
||||
url := fmt.Sprintf("%s/api/admin/disputes?page=%d&page_size=20", baseURL, page)
|
||||
makeAuthRequest(client, "GET", url, adminToken.Get(), nil, result, "admin_disputes")
|
||||
}
|
||||
|
||||
func testAdminAuditLogs(client *http.Client, baseURL string, result *TestResult, adminToken *AdminToken) {
|
||||
page := rand.Intn(20) + 1
|
||||
url := fmt.Sprintf("%s/api/admin/audit-logs?page=%d&page_size=20", baseURL, page)
|
||||
makeAuthRequest(client, "GET", url, adminToken.Get(), nil, result, "admin_audit_logs")
|
||||
}
|
||||
|
||||
func testAdminDashboard(client *http.Client, baseURL string, result *TestResult, adminToken *AdminToken) {
|
||||
makeAuthRequest(client, "GET", baseURL+"/api/admin/dashboard", adminToken.Get(), nil, result, "admin_dashboard")
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// HTTP 请求辅助函数
|
||||
// ============================================
|
||||
|
||||
func makeRequest(client *http.Client, method, url, token string, body []byte, result *TestResult, apiName string) {
|
||||
var req *http.Request
|
||||
var err error
|
||||
|
||||
if body != nil {
|
||||
req, err = http.NewRequest(method, url, bytes.NewBuffer(body))
|
||||
} else {
|
||||
req, err = http.NewRequest(method, url, nil)
|
||||
}
|
||||
|
||||
if err != nil {
|
||||
recordError(result, apiName+"_req_error")
|
||||
atomic.AddInt64(&result.TotalRequests, 1)
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
return
|
||||
}
|
||||
|
||||
if token != "" {
|
||||
req.Header.Set("Authorization", "Bearer "+token)
|
||||
}
|
||||
if body != nil {
|
||||
req.Header.Set("Content-Type", "application/json")
|
||||
}
|
||||
|
||||
start := time.Now()
|
||||
resp, err := client.Do(req)
|
||||
latency := time.Since(start).Milliseconds()
|
||||
|
||||
atomic.AddInt64(&result.TotalRequests, 1)
|
||||
recordLatency(result, latency)
|
||||
|
||||
if err != nil {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, apiName+"_error: "+err.Error())
|
||||
return
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
io.Copy(io.Discard, resp.Body)
|
||||
|
||||
if resp.StatusCode >= 200 && resp.StatusCode < 300 {
|
||||
atomic.AddInt64(&result.SuccessRequests, 1)
|
||||
} else {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, fmt.Sprintf("%s_status_%d", apiName, resp.StatusCode))
|
||||
}
|
||||
}
|
||||
|
||||
func makeAuthRequest(client *http.Client, method, url, token string, body []byte, result *TestResult, apiName string) {
|
||||
makeRequest(client, method, url, token, body, result, apiName)
|
||||
}
|
||||
|
||||
func recordLatency(result *TestResult, latency int64) {
|
||||
result.mu.Lock()
|
||||
defer result.mu.Unlock()
|
||||
result.Latencies = append(result.Latencies, latency)
|
||||
}
|
||||
|
||||
func recordError(result *TestResult, errMsg string) {
|
||||
result.mu.Lock()
|
||||
defer result.mu.Unlock()
|
||||
result.Errors[errMsg]++
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// 结果统计和输出
|
||||
// ============================================
|
||||
|
||||
func printProgress(result *TestResult) {
|
||||
total := atomic.LoadInt64(&result.TotalRequests)
|
||||
success := atomic.LoadInt64(&result.SuccessRequests)
|
||||
failed := atomic.LoadInt64(&result.FailedRequests)
|
||||
|
||||
if total > 0 {
|
||||
successRate := float64(success) / float64(total) * 100
|
||||
fmt.Printf(" 进行中: %d 请求 | 成功率: %.2f%% | 失败: %d\n", total, successRate, failed)
|
||||
}
|
||||
}
|
||||
|
||||
func printResult(result *TestResult, durationSec int) {
|
||||
fmt.Printf("\n\n=== 压力测试结果 ===\n")
|
||||
fmt.Printf("总请求数: %d\n", result.TotalRequests)
|
||||
fmt.Printf("成功请求: %d (%.2f%%)\n",
|
||||
result.SuccessRequests,
|
||||
float64(result.SuccessRequests)/float64(result.TotalRequests)*100)
|
||||
fmt.Printf("失败请求: %d (%.2f%%)\n",
|
||||
result.FailedRequests,
|
||||
float64(result.FailedRequests)/float64(result.TotalRequests)*100)
|
||||
|
||||
qps := float64(result.TotalRequests) / float64(durationSec)
|
||||
fmt.Printf("\nQPS: %.2f\n", qps)
|
||||
|
||||
if len(result.Latencies) > 0 {
|
||||
result.mu.Lock()
|
||||
latencies := make([]int64, len(result.Latencies))
|
||||
copy(latencies, result.Latencies)
|
||||
result.mu.Unlock()
|
||||
|
||||
sort.Slice(latencies, func(i, j int) bool { return latencies[i] < latencies[j] })
|
||||
|
||||
p50 := latencies[len(latencies)*50/100]
|
||||
p95 := latencies[len(latencies)*95/100]
|
||||
p99 := latencies[len(latencies)*99/100]
|
||||
min := latencies[0]
|
||||
max := latencies[len(latencies)-1]
|
||||
|
||||
var sum int64
|
||||
for _, l := range latencies {
|
||||
sum += l
|
||||
}
|
||||
avg := sum / int64(len(latencies))
|
||||
|
||||
fmt.Printf("\n延迟统计:\n")
|
||||
fmt.Printf(" 最小: %d ms\n", min)
|
||||
fmt.Printf(" P50: %d ms\n", p50)
|
||||
fmt.Printf(" 平均: %d ms\n", avg)
|
||||
fmt.Printf(" P95: %d ms\n", p95)
|
||||
fmt.Printf(" P99: %d ms\n", p99)
|
||||
fmt.Printf(" 最大: %d ms\n", max)
|
||||
}
|
||||
|
||||
if len(result.Errors) > 0 {
|
||||
fmt.Printf("\n错误统计 (Top 10):\n")
|
||||
type errorPair struct {
|
||||
msg string
|
||||
count int64
|
||||
}
|
||||
var errors []errorPair
|
||||
for msg, count := range result.Errors {
|
||||
errors = append(errors, errorPair{msg, count})
|
||||
}
|
||||
sort.Slice(errors, func(i, j int) bool { return errors[i].count > errors[j].count })
|
||||
|
||||
for i, e := range errors {
|
||||
if i >= 10 {
|
||||
break
|
||||
}
|
||||
fmt.Printf(" %s: %d 次\n", e.msg, e.count)
|
||||
}
|
||||
}
|
||||
|
||||
fmt.Printf("==================\n")
|
||||
}
|
||||
+147
-57
@@ -85,12 +85,32 @@ BEGIN
|
||||
DECLARE account_id_val BIGINT;
|
||||
DECLARE price_val DECIMAL(12,2);
|
||||
DECLARE deposit_val DECIMAL(12,2);
|
||||
DECLARE verified_user_min BIGINT;
|
||||
DECLARE verified_user_max BIGINT;
|
||||
DECLARE user_pick BIGINT;
|
||||
|
||||
SELECT MIN(id), MAX(id)
|
||||
INTO verified_user_min, verified_user_max
|
||||
FROM users
|
||||
WHERE realname_status = 'verified';
|
||||
|
||||
IF verified_user_min IS NULL THEN
|
||||
SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = '没有可用的已实名用户';
|
||||
END IF;
|
||||
|
||||
WHILE i <= batch_size DO
|
||||
-- 随机选择一个用户作为号主（已实名用户）
|
||||
-- 近似随机选择一个用户作为号主，避免 ORDER BY RAND() 全表排序。
|
||||
SET user_id_val = NULL;
|
||||
SET user_pick = verified_user_min + FLOOR(RAND() * (verified_user_max - verified_user_min + 1));
|
||||
SELECT id INTO user_id_val FROM users
|
||||
WHERE id >= user_pick AND realname_status = 'verified'
|
||||
ORDER BY id LIMIT 1;
|
||||
|
||||
IF user_id_val IS NULL THEN
|
||||
SELECT id INTO user_id_val FROM users
|
||||
WHERE realname_status = 'verified'
|
||||
ORDER BY RAND() LIMIT 1;
|
||||
ORDER BY id LIMIT 1;
|
||||
END IF;
|
||||
|
||||
-- 创建游戏账号
|
||||
INSERT INTO game_accounts (
|
||||
@@ -120,7 +140,7 @@ BEGIN
|
||||
ELSE '钻石'
|
||||
END,
|
||||
(i % 100) * 10000,
|
||||
'active'
|
||||
'published'
|
||||
);
|
||||
|
||||
SET account_id_val = LAST_INSERT_ID();
|
||||
@@ -141,7 +161,7 @@ BEGIN
|
||||
CASE
|
||||
WHEN i % 20 = 0 THEN 'offline'
|
||||
WHEN i % 15 = 0 THEN 'draft'
|
||||
ELSE 'active'
|
||||
ELSE 'published'
|
||||
END,
|
||||
CASE
|
||||
WHEN i % 15 = 0 THEN 'pending'
|
||||
@@ -177,19 +197,67 @@ BEGIN
|
||||
DECLARE order_no_val VARCHAR(64);
|
||||
DECLARE rent_amount_val DECIMAL(12,2);
|
||||
DECLARE deposit_val DECIMAL(12,2);
|
||||
DECLARE listing_min BIGINT;
|
||||
DECLARE listing_max BIGINT;
|
||||
DECLARE listing_pick BIGINT;
|
||||
DECLARE verified_user_min BIGINT;
|
||||
DECLARE verified_user_max BIGINT;
|
||||
DECLARE user_pick BIGINT;
|
||||
|
||||
SELECT MIN(id), MAX(id)
|
||||
INTO listing_min, listing_max
|
||||
FROM rental_listings
|
||||
WHERE status IN ('published', 'active') AND review_status = 'approved';
|
||||
|
||||
SELECT MIN(id), MAX(id)
|
||||
INTO verified_user_min, verified_user_max
|
||||
FROM users
|
||||
WHERE realname_status = 'verified';
|
||||
|
||||
IF listing_min IS NULL THEN
|
||||
SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = '没有可用的已上架商品';
|
||||
END IF;
|
||||
IF verified_user_min IS NULL THEN
|
||||
SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = '没有可用的已实名用户';
|
||||
END IF;
|
||||
|
||||
WHILE i <= batch_size DO
|
||||
-- 随机选择一个上架的商品
|
||||
-- 近似随机选择一个上架商品，避免 ORDER BY RAND() 全表排序。
|
||||
SET listing_id_val = NULL;
|
||||
SET listing_pick = listing_min + FLOOR(RAND() * (listing_max - listing_min + 1));
|
||||
SELECT rl.id, rl.account_id, rl.owner_id, rl.price, rl.deposit_amount
|
||||
INTO listing_id_val, account_id_val, owner_id_val, rent_amount_val, deposit_val
|
||||
FROM rental_listings rl
|
||||
WHERE rl.status = 'active' AND rl.review_status = 'approved'
|
||||
ORDER BY RAND() LIMIT 1;
|
||||
WHERE rl.id >= listing_pick
|
||||
AND rl.status IN ('published', 'active')
|
||||
AND rl.review_status = 'approved'
|
||||
ORDER BY rl.id LIMIT 1;
|
||||
|
||||
-- 随机选择一个租客（不能是号主本人）
|
||||
IF listing_id_val IS NULL THEN
|
||||
SELECT rl.id, rl.account_id, rl.owner_id, rl.price, rl.deposit_amount
|
||||
INTO listing_id_val, account_id_val, owner_id_val, rent_amount_val, deposit_val
|
||||
FROM rental_listings rl
|
||||
WHERE rl.status IN ('published', 'active')
|
||||
AND rl.review_status = 'approved'
|
||||
ORDER BY rl.id LIMIT 1;
|
||||
END IF;
|
||||
|
||||
-- 近似随机选择一个租客（不能是号主本人）。
|
||||
SET renter_id_val = NULL;
|
||||
SET user_pick = verified_user_min + FLOOR(RAND() * (verified_user_max - verified_user_min + 1));
|
||||
SELECT id INTO renter_id_val FROM users
|
||||
WHERE id >= user_pick AND id != owner_id_val AND realname_status = 'verified'
|
||||
ORDER BY id LIMIT 1;
|
||||
|
||||
IF renter_id_val IS NULL THEN
|
||||
SELECT id INTO renter_id_val FROM users
|
||||
WHERE id != owner_id_val AND realname_status = 'verified'
|
||||
ORDER BY RAND() LIMIT 1;
|
||||
ORDER BY id LIMIT 1;
|
||||
END IF;
|
||||
|
||||
IF renter_id_val IS NULL THEN
|
||||
SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = '没有可用的租客用户';
|
||||
END IF;
|
||||
|
||||
SET order_no_val = CONCAT('ORD', DATE_FORMAT(NOW(), '%Y%m%d'), LPAD(i, 8, '0'));
|
||||
SET rent_amount_val = rent_amount_val * 24; -- 24小时租金
|
||||
@@ -254,14 +322,43 @@ BEGIN
|
||||
DECLARE order_id_val BIGINT;
|
||||
DECLARE ledger_no_val VARCHAR(64);
|
||||
DECLARE amount_val DECIMAL(12,2);
|
||||
DECLARE user_min BIGINT;
|
||||
DECLARE user_max BIGINT;
|
||||
DECLARE order_min BIGINT;
|
||||
DECLARE order_max BIGINT;
|
||||
DECLARE user_pick BIGINT;
|
||||
DECLARE order_pick BIGINT;
|
||||
|
||||
SELECT MIN(id), MAX(id) INTO user_min, user_max FROM users;
|
||||
SELECT MIN(id), MAX(id) INTO order_min, order_max FROM rental_orders;
|
||||
|
||||
IF user_min IS NULL THEN
|
||||
SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = '没有可用的用户';
|
||||
END IF;
|
||||
|
||||
WHILE i <= batch_size DO
|
||||
-- 随机选择用户
|
||||
SELECT id INTO user_id_val FROM users ORDER BY RAND() LIMIT 1;
|
||||
-- 近似随机选择用户，避免 ORDER BY RAND() 全表排序。
|
||||
SET user_id_val = NULL;
|
||||
SET user_pick = user_min + FLOOR(RAND() * (user_max - user_min + 1));
|
||||
SELECT id INTO user_id_val FROM users
|
||||
WHERE id >= user_pick
|
||||
ORDER BY id LIMIT 1;
|
||||
|
||||
IF user_id_val IS NULL THEN
|
||||
SELECT id INTO user_id_val FROM users ORDER BY id LIMIT 1;
|
||||
END IF;
|
||||
|
||||
-- 随机关联订单（50%概率）
|
||||
IF RAND() > 0.5 THEN
|
||||
SELECT id INTO order_id_val FROM rental_orders ORDER BY RAND() LIMIT 1;
|
||||
IF RAND() > 0.5 AND order_min IS NOT NULL THEN
|
||||
SET order_id_val = NULL;
|
||||
SET order_pick = order_min + FLOOR(RAND() * (order_max - order_min + 1));
|
||||
SELECT id INTO order_id_val FROM rental_orders
|
||||
WHERE id >= order_pick
|
||||
ORDER BY id LIMIT 1;
|
||||
|
||||
IF order_id_val IS NULL THEN
|
||||
SELECT id INTO order_id_val FROM rental_orders ORDER BY id LIMIT 1;
|
||||
END IF;
|
||||
ELSE
|
||||
SET order_id_val = NULL;
|
||||
END IF;
|
||||
@@ -314,14 +411,45 @@ BEGIN
|
||||
DECLARE i INT DEFAULT 1;
|
||||
DECLARE conv_id BIGINT;
|
||||
DECLARE user_id_val BIGINT;
|
||||
DECLARE conv_min BIGINT;
|
||||
DECLARE conv_max BIGINT;
|
||||
DECLARE user_min BIGINT;
|
||||
DECLARE user_max BIGINT;
|
||||
DECLARE conv_pick BIGINT;
|
||||
DECLARE user_pick BIGINT;
|
||||
|
||||
SELECT MIN(id), MAX(id) INTO conv_min, conv_max FROM chat_conversations;
|
||||
SELECT MIN(id), MAX(id) INTO user_min, user_max FROM users;
|
||||
|
||||
IF conv_min IS NULL THEN
|
||||
SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = '没有可用的聊天会话';
|
||||
END IF;
|
||||
IF user_min IS NULL THEN
|
||||
SIGNAL SQLSTATE '45000' SET MESSAGE_TEXT = '没有可用的用户';
|
||||
END IF;
|
||||
|
||||
WHILE i <= batch_size DO
|
||||
-- 随机选择一个会话
|
||||
SELECT id INTO conv_id FROM chat_conversations ORDER BY RAND() LIMIT 1;
|
||||
-- 近似随机选择一个会话和发送者，避免 ORDER BY RAND() 全表排序。
|
||||
SET conv_id = NULL;
|
||||
SET conv_pick = conv_min + FLOOR(RAND() * (conv_max - conv_min + 1));
|
||||
SELECT id INTO conv_id FROM chat_conversations
|
||||
WHERE id >= conv_pick
|
||||
ORDER BY id LIMIT 1;
|
||||
|
||||
IF conv_id IS NULL THEN
|
||||
SELECT id INTO conv_id FROM chat_conversations ORDER BY id LIMIT 1;
|
||||
END IF;
|
||||
|
||||
IF conv_id IS NOT NULL THEN
|
||||
-- 随机选择发送者
|
||||
SELECT id INTO user_id_val FROM users ORDER BY RAND() LIMIT 1;
|
||||
SET user_id_val = NULL;
|
||||
SET user_pick = user_min + FLOOR(RAND() * (user_max - user_min + 1));
|
||||
SELECT id INTO user_id_val FROM users
|
||||
WHERE id >= user_pick
|
||||
ORDER BY id LIMIT 1;
|
||||
|
||||
IF user_id_val IS NULL THEN
|
||||
SELECT id INTO user_id_val FROM users ORDER BY id LIMIT 1;
|
||||
END IF;
|
||||
|
||||
INSERT INTO chat_messages (
|
||||
conversation_id, sender_type, sender_id, sender_role,
|
||||
@@ -349,46 +477,8 @@ END$$
|
||||
DELIMITER ;
|
||||
|
||||
-- ============================================
|
||||
-- 执行数据生成（根据需要调整数量）
|
||||
-- 本文件只创建存储过程，不直接生成数据。
|
||||
-- 请使用 scripts/stress_test.sh data 按参数生成，避免意外重复造数。
|
||||
-- ============================================
|
||||
|
||||
-- 生成10000个用户
|
||||
CALL generate_users(10000);
|
||||
|
||||
-- 生成50000个商品
|
||||
CALL generate_listings(50000);
|
||||
|
||||
-- 生成30000个订单
|
||||
CALL generate_orders(30000);
|
||||
|
||||
-- 生成100000条钱包流水
|
||||
CALL generate_wallet_ledger(100000);
|
||||
|
||||
-- 为前1000个订单创建会话
|
||||
INSERT INTO chat_conversations (order_id, type, title, status, last_message_at)
|
||||
SELECT id, 'order_group', CONCAT('订单', order_no, '群聊'), 'active', created_at
|
||||
FROM rental_orders
|
||||
WHERE id <= 1000
|
||||
ON DUPLICATE KEY UPDATE order_id=order_id;
|
||||
|
||||
-- 生成50000条聊天消息
|
||||
CALL generate_chat_messages(50000);
|
||||
|
||||
-- ============================================
|
||||
-- 查看数据统计
|
||||
-- ============================================
|
||||
SELECT '用户数' as item, COUNT(*) as count FROM users
|
||||
UNION ALL
|
||||
SELECT '游戏账号数', COUNT(*) FROM game_accounts
|
||||
UNION ALL
|
||||
SELECT '商品数', COUNT(*) FROM rental_listings
|
||||
UNION ALL
|
||||
SELECT '订单数', COUNT(*) FROM rental_orders
|
||||
UNION ALL
|
||||
SELECT '钱包流水数', COUNT(*) FROM wallet_ledger
|
||||
UNION ALL
|
||||
SELECT '聊天会话数', COUNT(*) FROM chat_conversations
|
||||
UNION ALL
|
||||
SELECT '聊天消息数', COUNT(*) FROM chat_messages;
|
||||
|
||||
SET FOREIGN_KEY_CHECKS = 1;
|
||||
|
||||
@@ -0,0 +1,475 @@
|
||||
-- ============================================
|
||||
-- 优化的压力测试数据生成脚本
|
||||
-- 使用批量生成 + 临时表，避免循环中的随机查询
|
||||
-- ============================================
|
||||
|
||||
SET NAMES utf8mb4;
|
||||
SET FOREIGN_KEY_CHECKS = 0;
|
||||
|
||||
-- ============================================
|
||||
-- 1. 批量生成用户数据
|
||||
-- ============================================
|
||||
DROP PROCEDURE IF EXISTS generate_users_batch;
|
||||
DELIMITER $$
|
||||
CREATE PROCEDURE generate_users_batch(IN batch_size INT)
|
||||
BEGIN
|
||||
DECLARE batch_limit INT DEFAULT 1000;
|
||||
DECLARE batches INT;
|
||||
DECLARE current_batch INT DEFAULT 0;
|
||||
DECLARE batch_start INT;
|
||||
DECLARE batch_end INT;
|
||||
|
||||
SET batches = CEIL(batch_size / batch_limit);
|
||||
|
||||
WHILE current_batch < batches DO
|
||||
SET batch_start = current_batch * batch_limit + 1;
|
||||
SET batch_end = LEAST((current_batch + 1) * batch_limit, batch_size);
|
||||
|
||||
-- 使用 INSERT ... SELECT 批量生成
|
||||
INSERT INTO users (phone, nickname, realname_status, risk_status, credit_score, status, created_at)
|
||||
SELECT
|
||||
CONCAT('138', LPAD(seq, 8, '0')) as phone,
|
||||
CONCAT('测试用户', seq) as nickname,
|
||||
CASE WHEN seq % 10 = 0 THEN 'unverified' ELSE 'verified' END as realname_status,
|
||||
CASE WHEN seq % 100 = 0 THEN 'frozen' ELSE 'normal' END as risk_status,
|
||||
80 + (seq % 20) as credit_score,
|
||||
'active' as status,
|
||||
DATE_SUB(NOW(), INTERVAL (seq % 365) DAY) as created_at
|
||||
FROM (
|
||||
SELECT @row := @row + 1 AS seq
|
||||
FROM
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t1,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t2,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t3,
|
||||
(SELECT @row := batch_start - 1) r
|
||||
LIMIT batch_end - batch_start + 1
|
||||
) seqs
|
||||
ON DUPLICATE KEY UPDATE id=id;
|
||||
|
||||
SET current_batch = current_batch + 1;
|
||||
COMMIT;
|
||||
END WHILE;
|
||||
|
||||
-- 批量生成实名记录（为已实名用户）
|
||||
INSERT INTO user_realname (user_id, provider, status, masked_name, masked_id_no, verified_at)
|
||||
SELECT
|
||||
u.id,
|
||||
'mock',
|
||||
'success',
|
||||
CONCAT('张*', CHAR(65 + (u.id % 26))),
|
||||
CONCAT('3301**********', LPAD(u.id % 10000, 4, '0')),
|
||||
DATE_SUB(NOW(), INTERVAL (u.id % 300) DAY)
|
||||
FROM users u
|
||||
WHERE u.realname_status = 'verified'
|
||||
AND NOT EXISTS (SELECT 1 FROM user_realname WHERE user_id = u.id);
|
||||
|
||||
-- 批量生成钱包账户
|
||||
INSERT INTO wallet_accounts (user_id, available_balance, frozen_balance, status)
|
||||
SELECT
|
||||
u.id,
|
||||
(u.id % 10) * 100.00,
|
||||
(u.id % 5) * 50.00,
|
||||
'active'
|
||||
FROM users u
|
||||
WHERE NOT EXISTS (SELECT 1 FROM wallet_accounts WHERE user_id = u.id);
|
||||
|
||||
COMMIT;
|
||||
END$$
|
||||
DELIMITER ;
|
||||
|
||||
-- ============================================
|
||||
-- 2. 批量生成游戏账号和商品
|
||||
-- ============================================
|
||||
DROP PROCEDURE IF EXISTS generate_listings_batch;
|
||||
DELIMITER $$
|
||||
CREATE PROCEDURE generate_listings_batch(IN batch_size INT)
|
||||
BEGIN
|
||||
DECLARE batch_limit INT DEFAULT 1000;
|
||||
DECLARE batches INT;
|
||||
DECLARE current_batch INT DEFAULT 0;
|
||||
|
||||
-- 创建临时表存储已实名用户ID
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_verified_users;
|
||||
CREATE TEMPORARY TABLE tmp_verified_users (
|
||||
id BIGINT PRIMARY KEY,
|
||||
row_num INT
|
||||
);
|
||||
|
||||
INSERT INTO tmp_verified_users (id, row_num)
|
||||
SELECT id, (@rn := @rn + 1) as row_num
|
||||
FROM users, (SELECT @rn := 0) init
|
||||
WHERE realname_status = 'verified'
|
||||
ORDER BY id;
|
||||
|
||||
SET batches = CEIL(batch_size / batch_limit);
|
||||
|
||||
WHILE current_batch < batches DO
|
||||
-- 批量生成游戏账号
|
||||
INSERT INTO game_accounts (
|
||||
owner_id, game_name, server_region, login_platform,
|
||||
title, description, rank_level, haf_coin_amount, status
|
||||
)
|
||||
SELECT
|
||||
u.id as owner_id,
|
||||
'delta_force',
|
||||
CASE (seq % 4)
|
||||
WHEN 0 THEN '亚服'
|
||||
WHEN 1 THEN '美服'
|
||||
WHEN 2 THEN '欧服'
|
||||
ELSE '国服'
|
||||
END,
|
||||
CASE (seq % 3)
|
||||
WHEN 0 THEN 'Steam'
|
||||
WHEN 1 THEN 'Epic'
|
||||
ELSE 'WeGame'
|
||||
END,
|
||||
CONCAT('账号', seq, ' 高分段'),
|
||||
CONCAT('这是一个测试账号，编号', seq),
|
||||
CASE (seq % 5)
|
||||
WHEN 0 THEN '青铜'
|
||||
WHEN 1 THEN '白银'
|
||||
WHEN 2 THEN '黄金'
|
||||
WHEN 3 THEN '铂金'
|
||||
ELSE '钻石'
|
||||
END,
|
||||
(seq % 100) * 10000,
|
||||
'published'
|
||||
FROM (
|
||||
SELECT @row2 := @row2 + 1 AS seq
|
||||
FROM
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t1,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t2,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t3,
|
||||
(SELECT @row2 := current_batch * batch_limit) r
|
||||
LIMIT batch_limit
|
||||
) seqs
|
||||
INNER JOIN tmp_verified_users u ON u.row_num = (seq % (SELECT COUNT(*) FROM tmp_verified_users)) + 1
|
||||
WHERE seq <= batch_size;
|
||||
|
||||
-- 批量生成租号商品
|
||||
INSERT INTO rental_listings (
|
||||
account_id, owner_id, price, deposit_amount,
|
||||
in_transaction, status, review_status, published_at
|
||||
)
|
||||
SELECT
|
||||
ga.id as account_id,
|
||||
ga.owner_id,
|
||||
5.00 + ((ga.id % 20) * 0.5) as price,
|
||||
100.00 + ((ga.id % 10) * 50.00) as deposit_amount,
|
||||
CASE WHEN ga.id % 10 = 0 THEN 1 ELSE 0 END as in_transaction,
|
||||
CASE
|
||||
WHEN ga.id % 20 = 0 THEN 'offline'
|
||||
WHEN ga.id % 15 = 0 THEN 'draft'
|
||||
ELSE 'published'
|
||||
END as status,
|
||||
CASE
|
||||
WHEN ga.id % 15 = 0 THEN 'pending'
|
||||
WHEN ga.id % 30 = 0 THEN 'rejected'
|
||||
ELSE 'approved'
|
||||
END as review_status,
|
||||
DATE_SUB(NOW(), INTERVAL (ga.id % 90) DAY) as published_at
|
||||
FROM game_accounts ga
|
||||
WHERE ga.id > (SELECT COALESCE(MAX(account_id), 0) FROM rental_listings)
|
||||
LIMIT batch_limit;
|
||||
|
||||
SET current_batch = current_batch + 1;
|
||||
COMMIT;
|
||||
END WHILE;
|
||||
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_verified_users;
|
||||
END$$
|
||||
DELIMITER ;
|
||||
|
||||
-- ============================================
|
||||
-- 3. 批量生成订单数据（优化版）
|
||||
-- ============================================
|
||||
DROP PROCEDURE IF EXISTS generate_orders_batch;
|
||||
DELIMITER $$
|
||||
CREATE PROCEDURE generate_orders_batch(IN batch_size INT)
|
||||
BEGIN
|
||||
DECLARE batch_limit INT DEFAULT 1000;
|
||||
DECLARE batches INT;
|
||||
DECLARE current_batch INT DEFAULT 0;
|
||||
|
||||
-- 创建临时表：可用商品
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_available_listings;
|
||||
CREATE TEMPORARY TABLE tmp_available_listings (
|
||||
id BIGINT PRIMARY KEY,
|
||||
account_id BIGINT,
|
||||
owner_id BIGINT,
|
||||
price DECIMAL(12,2),
|
||||
deposit_amount DECIMAL(12,2),
|
||||
row_num INT
|
||||
);
|
||||
|
||||
INSERT INTO tmp_available_listings (id, account_id, owner_id, price, deposit_amount, row_num)
|
||||
SELECT id, account_id, owner_id, price, deposit_amount, (@rn := @rn + 1)
|
||||
FROM rental_listings, (SELECT @rn := 0) init
|
||||
WHERE status IN ('published', 'active') AND review_status = 'approved'
|
||||
ORDER BY id;
|
||||
|
||||
-- 创建临时表：已实名用户
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_verified_users;
|
||||
CREATE TEMPORARY TABLE tmp_verified_users (
|
||||
id BIGINT PRIMARY KEY,
|
||||
row_num INT
|
||||
);
|
||||
|
||||
INSERT INTO tmp_verified_users (id, row_num)
|
||||
SELECT id, (@rn2 := @rn2 + 1)
|
||||
FROM users, (SELECT @rn2 := 0) init
|
||||
WHERE realname_status = 'verified'
|
||||
ORDER BY id;
|
||||
|
||||
SET batches = CEIL(batch_size / batch_limit);
|
||||
|
||||
WHILE current_batch < batches DO
|
||||
INSERT INTO rental_orders (
|
||||
order_no, listing_id, account_id, owner_id, renter_id,
|
||||
estimated_duration_hours, rent_amount, owner_rent_amount,
|
||||
deposit_amount, platform_fee, status, handoff_status,
|
||||
settlement_status, rented_at, created_at
|
||||
)
|
||||
SELECT
|
||||
CONCAT('ORD', DATE_FORMAT(NOW(), '%Y%m%d'), LPAD(seq, 8, '0')) as order_no,
|
||||
l.id as listing_id,
|
||||
l.account_id,
|
||||
l.owner_id,
|
||||
r.id as renter_id,
|
||||
24 as estimated_duration_hours,
|
||||
l.price * 24 as rent_amount,
|
||||
l.price * 24 * 0.95 as owner_rent_amount,
|
||||
l.deposit_amount,
|
||||
l.price * 24 * 0.05 as platform_fee,
|
||||
CASE (seq % 10)
|
||||
WHEN 0 THEN 'pending_payment'
|
||||
WHEN 1 THEN 'cancelled'
|
||||
WHEN 2 THEN 'closed'
|
||||
ELSE 'completed'
|
||||
END as status,
|
||||
CASE (seq % 10)
|
||||
WHEN 0 THEN 'none'
|
||||
WHEN 1 THEN 'none'
|
||||
WHEN 2 THEN 'owner_delivered'
|
||||
ELSE 'owner_received'
|
||||
END as handoff_status,
|
||||
CASE (seq % 10)
|
||||
WHEN 0 THEN 'unsettled'
|
||||
WHEN 1 THEN 'unsettled'
|
||||
ELSE 'settled'
|
||||
END as settlement_status,
|
||||
DATE_SUB(NOW(), INTERVAL (seq % 60) DAY) as rented_at,
|
||||
DATE_SUB(NOW(), INTERVAL (seq % 60) DAY) as created_at
|
||||
FROM (
|
||||
SELECT @row3 := @row3 + 1 AS seq
|
||||
FROM
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t1,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t2,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t3,
|
||||
(SELECT @row3 := current_batch * batch_limit) r
|
||||
LIMIT batch_limit
|
||||
) seqs
|
||||
INNER JOIN tmp_available_listings l ON l.row_num = (seq % (SELECT COUNT(*) FROM tmp_available_listings)) + 1
|
||||
INNER JOIN tmp_verified_users r ON r.row_num = (seq % (SELECT COUNT(*) FROM tmp_verified_users)) + 1
|
||||
WHERE seq <= batch_size AND r.id != l.owner_id
|
||||
LIMIT batch_limit;
|
||||
|
||||
SET current_batch = current_batch + 1;
|
||||
COMMIT;
|
||||
END WHILE;
|
||||
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_available_listings;
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_verified_users;
|
||||
END$$
|
||||
DELIMITER ;
|
||||
|
||||
-- ============================================
|
||||
-- 4. 批量生成钱包流水
|
||||
-- ============================================
|
||||
DROP PROCEDURE IF EXISTS generate_wallet_ledger_batch;
|
||||
DELIMITER $$
|
||||
CREATE PROCEDURE generate_wallet_ledger_batch(IN batch_size INT)
|
||||
BEGIN
|
||||
DECLARE batch_limit INT DEFAULT 1000;
|
||||
DECLARE batches INT;
|
||||
DECLARE current_batch INT DEFAULT 0;
|
||||
|
||||
-- 创建临时表：用户列表
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_users;
|
||||
CREATE TEMPORARY TABLE tmp_users (
|
||||
id BIGINT PRIMARY KEY,
|
||||
row_num INT
|
||||
);
|
||||
|
||||
INSERT INTO tmp_users (id, row_num)
|
||||
SELECT id, (@rn := @rn + 1)
|
||||
FROM users, (SELECT @rn := 0) init
|
||||
ORDER BY id;
|
||||
|
||||
-- 创建临时表：订单列表
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_orders;
|
||||
CREATE TEMPORARY TABLE tmp_orders (
|
||||
id BIGINT PRIMARY KEY,
|
||||
row_num INT
|
||||
);
|
||||
|
||||
INSERT INTO tmp_orders (id, row_num)
|
||||
SELECT id, (@rn2 := @rn2 + 1)
|
||||
FROM rental_orders, (SELECT @rn2 := 0) init
|
||||
ORDER BY id;
|
||||
|
||||
SET batches = CEIL(batch_size / batch_limit);
|
||||
|
||||
WHILE current_batch < batches DO
|
||||
INSERT INTO wallet_ledger (
|
||||
ledger_no, user_id, order_id, direction, amount,
|
||||
balance_after, balance_type, biz_type, biz_no, remark, created_at
|
||||
)
|
||||
SELECT
|
||||
CONCAT('LDG', DATE_FORMAT(NOW(), '%Y%m%d%H%i%s'), LPAD(seq, 6, '0')) as ledger_no,
|
||||
u.id as user_id,
|
||||
IF(seq % 2 = 0, o.id, NULL) as order_id,
|
||||
CASE WHEN seq % 2 = 0 THEN 'in' ELSE 'out' END as direction,
|
||||
(seq % 500) + (seq * 0.01) as amount,
|
||||
1000.00 + (seq % 1000) as balance_after,
|
||||
CASE WHEN seq % 5 = 0 THEN 'frozen' ELSE 'available' END as balance_type,
|
||||
CASE (seq % 6)
|
||||
WHEN 0 THEN 'rent_payment'
|
||||
WHEN 1 THEN 'deposit_freeze'
|
||||
WHEN 2 THEN 'settlement'
|
||||
WHEN 3 THEN 'refund'
|
||||
WHEN 4 THEN 'recharge'
|
||||
ELSE 'withdraw'
|
||||
END as biz_type,
|
||||
CONCAT('BIZ', LPAD(seq, 10, '0')) as biz_no,
|
||||
CONCAT('测试流水', seq) as remark,
|
||||
DATE_SUB(NOW(), INTERVAL (seq % 180) DAY) as created_at
|
||||
FROM (
|
||||
SELECT @row4 := @row4 + 1 AS seq
|
||||
FROM
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t1,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t2,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t3,
|
||||
(SELECT @row4 := current_batch * batch_limit) r
|
||||
LIMIT batch_limit
|
||||
) seqs
|
||||
INNER JOIN tmp_users u ON u.row_num = (seq % (SELECT COUNT(*) FROM tmp_users)) + 1
|
||||
LEFT JOIN tmp_orders o ON o.row_num = (seq % (SELECT COUNT(*) FROM tmp_orders)) + 1
|
||||
WHERE seq <= batch_size
|
||||
LIMIT batch_limit;
|
||||
|
||||
SET current_batch = current_batch + 1;
|
||||
COMMIT;
|
||||
END WHILE;
|
||||
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_users;
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_orders;
|
||||
END$$
|
||||
DELIMITER ;
|
||||
|
||||
-- ============================================
|
||||
-- 5. 批量生成聊天会话和消息
|
||||
-- ============================================
|
||||
DROP PROCEDURE IF EXISTS generate_chat_data_batch;
|
||||
DELIMITER $$
|
||||
CREATE PROCEDURE generate_chat_data_batch(IN message_count INT)
|
||||
BEGIN
|
||||
-- 先生成聊天会话（基于订单）
|
||||
INSERT INTO chat_conversations (order_id, type, title, status, last_message_at)
|
||||
SELECT
|
||||
ro.id,
|
||||
'order_group',
|
||||
CONCAT('订单', ro.order_no, '群聊'),
|
||||
'active',
|
||||
ro.created_at
|
||||
FROM rental_orders ro
|
||||
WHERE NOT EXISTS (SELECT 1 FROM chat_conversations WHERE order_id = ro.id)
|
||||
LIMIT 1000
|
||||
ON DUPLICATE KEY UPDATE order_id=order_id;
|
||||
|
||||
-- 批量生成聊天消息
|
||||
DECLARE batch_limit INT DEFAULT 1000;
|
||||
DECLARE batches INT;
|
||||
DECLARE current_batch INT DEFAULT 0;
|
||||
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_conversations;
|
||||
CREATE TEMPORARY TABLE tmp_conversations (
|
||||
id BIGINT PRIMARY KEY,
|
||||
row_num INT
|
||||
);
|
||||
|
||||
INSERT INTO tmp_conversations (id, row_num)
|
||||
SELECT id, (@rn := @rn + 1)
|
||||
FROM chat_conversations, (SELECT @rn := 0) init
|
||||
ORDER BY id;
|
||||
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_users;
|
||||
CREATE TEMPORARY TABLE tmp_users (
|
||||
id BIGINT PRIMARY KEY,
|
||||
row_num INT
|
||||
);
|
||||
|
||||
INSERT INTO tmp_users (id, row_num)
|
||||
SELECT id, (@rn2 := @rn2 + 1)
|
||||
FROM users, (SELECT @rn2 := 0) init
|
||||
ORDER BY id;
|
||||
|
||||
SET batches = CEIL(message_count / batch_limit);
|
||||
|
||||
WHILE current_batch < batches DO
|
||||
INSERT INTO chat_messages (
|
||||
conversation_id, sender_type, sender_id, sender_role,
|
||||
content_type, content, created_at
|
||||
)
|
||||
SELECT
|
||||
c.id as conversation_id,
|
||||
'user' as sender_type,
|
||||
u.id as sender_id,
|
||||
CASE WHEN seq % 2 = 0 THEN 'owner' ELSE 'renter' END as sender_role,
|
||||
'text' as content_type,
|
||||
CONCAT('这是测试消息', seq, '，内容随机生成用于压力测试') as content,
|
||||
DATE_SUB(NOW(), INTERVAL (seq % 30) DAY) as created_at
|
||||
FROM (
|
||||
SELECT @row5 := @row5 + 1 AS seq
|
||||
FROM
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t1,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t2,
|
||||
(SELECT 0 UNION SELECT 1 UNION SELECT 2 UNION SELECT 3 UNION SELECT 4
|
||||
UNION SELECT 5 UNION SELECT 6 UNION SELECT 7 UNION SELECT 8 UNION SELECT 9) t3,
|
||||
(SELECT @row5 := current_batch * batch_limit) r
|
||||
LIMIT batch_limit
|
||||
) seqs
|
||||
INNER JOIN tmp_conversations c ON c.row_num = (seq % (SELECT COUNT(*) FROM tmp_conversations)) + 1
|
||||
INNER JOIN tmp_users u ON u.row_num = (seq % (SELECT COUNT(*) FROM tmp_users)) + 1
|
||||
WHERE seq <= message_count
|
||||
LIMIT batch_limit;
|
||||
|
||||
SET current_batch = current_batch + 1;
|
||||
COMMIT;
|
||||
END WHILE;
|
||||
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_conversations;
|
||||
DROP TEMPORARY TABLE IF EXISTS tmp_users;
|
||||
END$$
|
||||
DELIMITER ;
|
||||
|
||||
-- ============================================
|
||||
-- 本文件只创建存储过程，不直接生成数据。
|
||||
-- 请使用 scripts/stress_test.sh data 按参数生成
|
||||
-- ============================================
|
||||
|
||||
SET FOREIGN_KEY_CHECKS = 1;
|
||||
@@ -1,407 +0,0 @@
|
||||
package main
|
||||
|
||||
import (
|
||||
"bytes"
|
||||
"encoding/json"
|
||||
"flag"
|
||||
"fmt"
|
||||
"math/rand"
|
||||
"net/http"
|
||||
"sync"
|
||||
"sync/atomic"
|
||||
"time"
|
||||
)
|
||||
|
||||
// 压力测试工具 - 模拟实际业务场景
|
||||
|
||||
type TestConfig struct {
|
||||
BaseURL string
|
||||
Concurrency int
|
||||
Duration time.Duration
|
||||
Scenario string
|
||||
}
|
||||
|
||||
type TestResult struct {
|
||||
TotalRequests int64
|
||||
SuccessRequests int64
|
||||
FailedRequests int64
|
||||
TotalLatency int64 // 毫秒
|
||||
MinLatency int64
|
||||
MaxLatency int64
|
||||
Errors map[string]int64
|
||||
}
|
||||
|
||||
var (
|
||||
baseURL = flag.String("url", "http://localhost:8080", "API 基础地址")
|
||||
concurrency = flag.Int("c", 10, "并发数")
|
||||
duration = flag.Int("d", 60, "测试时长（秒）")
|
||||
scenario = flag.String("s", "mixed", "测试场景: list_listings, create_order, chat, wallet, mixed")
|
||||
)
|
||||
|
||||
func main() {
|
||||
flag.Parse()
|
||||
|
||||
config := TestConfig{
|
||||
BaseURL: *baseURL,
|
||||
Concurrency: *concurrency,
|
||||
Duration: time.Duration(*duration) * time.Second,
|
||||
Scenario: *scenario,
|
||||
}
|
||||
|
||||
fmt.Printf("=== 压力测试配置 ===\n")
|
||||
fmt.Printf("目标地址: %s\n", config.BaseURL)
|
||||
fmt.Printf("并发数: %d\n", config.Concurrency)
|
||||
fmt.Printf("测试时长: %d 秒\n", *duration)
|
||||
fmt.Printf("测试场景: %s\n", config.Scenario)
|
||||
fmt.Printf("==================\n\n")
|
||||
|
||||
result := runTest(config)
|
||||
printResult(result)
|
||||
}
|
||||
|
||||
func runTest(config TestConfig) *TestResult {
|
||||
result := &TestResult{
|
||||
Errors: make(map[string]int64),
|
||||
MinLatency: int64(^uint64(0) >> 1), // Max int64
|
||||
}
|
||||
|
||||
var wg sync.WaitGroup
|
||||
stopChan := make(chan struct{})
|
||||
|
||||
// 启动并发workers
|
||||
for i := 0; i < config.Concurrency; i++ {
|
||||
wg.Add(1)
|
||||
go func(workerID int) {
|
||||
defer wg.Done()
|
||||
worker(workerID, config, result, stopChan)
|
||||
}(i)
|
||||
}
|
||||
|
||||
// 等待测试时长
|
||||
time.Sleep(config.Duration)
|
||||
close(stopChan)
|
||||
|
||||
wg.Wait()
|
||||
|
||||
return result
|
||||
}
|
||||
|
||||
func worker(id int, config TestConfig, result *TestResult, stopChan chan struct{}) {
|
||||
client := &http.Client{
|
||||
Timeout: 10 * time.Second,
|
||||
}
|
||||
|
||||
for {
|
||||
select {
|
||||
case <-stopChan:
|
||||
return
|
||||
default:
|
||||
executeScenario(client, config, result)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func executeScenario(client *http.Client, config TestConfig, result *TestResult) {
|
||||
switch config.Scenario {
|
||||
case "list_listings":
|
||||
testListListings(client, config.BaseURL, result)
|
||||
case "create_order":
|
||||
testCreateOrder(client, config.BaseURL, result)
|
||||
case "chat":
|
||||
testChatMessages(client, config.BaseURL, result)
|
||||
case "wallet":
|
||||
testWalletLedger(client, config.BaseURL, result)
|
||||
case "mixed":
|
||||
// 混合场景：按实际业务比例分配
|
||||
r := rand.Intn(100)
|
||||
switch {
|
||||
case r < 40: // 40% 查询商品列表
|
||||
testListListings(client, config.BaseURL, result)
|
||||
case r < 60: // 20% 查询订单
|
||||
testListOrders(client, config.BaseURL, result)
|
||||
case r < 75: // 15% 查询钱包流水
|
||||
testWalletLedger(client, config.BaseURL, result)
|
||||
case r < 85: // 10% 聊天消息
|
||||
testChatMessages(client, config.BaseURL, result)
|
||||
case r < 95: // 10% 创建订单
|
||||
testCreateOrder(client, config.BaseURL, result)
|
||||
default: // 5% 支付
|
||||
testPayOrder(client, config.BaseURL, result)
|
||||
}
|
||||
default:
|
||||
testHealthCheck(client, config.BaseURL, result)
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// 测试场景实现
|
||||
// ============================================
|
||||
|
||||
func testHealthCheck(client *http.Client, baseURL string, result *TestResult) {
|
||||
start := time.Now()
|
||||
resp, err := client.Get(baseURL + "/health")
|
||||
latency := time.Since(start).Milliseconds()
|
||||
|
||||
atomic.AddInt64(&result.TotalRequests, 1)
|
||||
updateLatency(result, latency)
|
||||
|
||||
if err != nil {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, "health_check_error: "+err.Error())
|
||||
return
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
if resp.StatusCode == 200 {
|
||||
atomic.AddInt64(&result.SuccessRequests, 1)
|
||||
} else {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, fmt.Sprintf("health_check_status_%d", resp.StatusCode))
|
||||
}
|
||||
}
|
||||
|
||||
func testListListings(client *http.Client, baseURL string, result *TestResult) {
|
||||
// 模拟不同的查询条件
|
||||
page := rand.Intn(10) + 1
|
||||
pageSize := []int{10, 20, 50}[rand.Intn(3)]
|
||||
url := fmt.Sprintf("%s/api/listings?page=%d&page_size=%d", baseURL, page, pageSize)
|
||||
|
||||
start := time.Now()
|
||||
resp, err := client.Get(url)
|
||||
latency := time.Since(start).Milliseconds()
|
||||
|
||||
atomic.AddInt64(&result.TotalRequests, 1)
|
||||
updateLatency(result, latency)
|
||||
|
||||
if err != nil {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, "list_listings_error: "+err.Error())
|
||||
return
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
if resp.StatusCode == 200 {
|
||||
atomic.AddInt64(&result.SuccessRequests, 1)
|
||||
} else {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, fmt.Sprintf("list_listings_status_%d", resp.StatusCode))
|
||||
}
|
||||
}
|
||||
|
||||
func testListOrders(client *http.Client, baseURL string, result *TestResult) {
|
||||
// 需要登录token，这里模拟匿名访问（会返回401）
|
||||
page := rand.Intn(5) + 1
|
||||
url := fmt.Sprintf("%s/api/orders?page=%d&page_size=20", baseURL, page)
|
||||
|
||||
start := time.Now()
|
||||
resp, err := client.Get(url)
|
||||
latency := time.Since(start).Milliseconds()
|
||||
|
||||
atomic.AddInt64(&result.TotalRequests, 1)
|
||||
updateLatency(result, latency)
|
||||
|
||||
if err != nil {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, "list_orders_error: "+err.Error())
|
||||
return
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
// 401是预期的（未登录）
|
||||
if resp.StatusCode == 200 || resp.StatusCode == 401 {
|
||||
atomic.AddInt64(&result.SuccessRequests, 1)
|
||||
} else {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, fmt.Sprintf("list_orders_status_%d", resp.StatusCode))
|
||||
}
|
||||
}
|
||||
|
||||
func testCreateOrder(client *http.Client, baseURL string, result *TestResult) {
|
||||
// 模拟创建订单（需要登录，会返回401）
|
||||
listingID := rand.Intn(1000) + 1
|
||||
payload := map[string]interface{}{
|
||||
"listing_id": listingID,
|
||||
"estimated_duration_hours": 24,
|
||||
}
|
||||
|
||||
body, _ := json.Marshal(payload)
|
||||
start := time.Now()
|
||||
resp, err := client.Post(
|
||||
baseURL+"/api/orders",
|
||||
"application/json",
|
||||
bytes.NewBuffer(body),
|
||||
)
|
||||
latency := time.Since(start).Milliseconds()
|
||||
|
||||
atomic.AddInt64(&result.TotalRequests, 1)
|
||||
updateLatency(result, latency)
|
||||
|
||||
if err != nil {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, "create_order_error: "+err.Error())
|
||||
return
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
// 401是预期的（未登录）
|
||||
if resp.StatusCode == 200 || resp.StatusCode == 401 {
|
||||
atomic.AddInt64(&result.SuccessRequests, 1)
|
||||
} else {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, fmt.Sprintf("create_order_status_%d", resp.StatusCode))
|
||||
}
|
||||
}
|
||||
|
||||
func testPayOrder(client *http.Client, baseURL string, result *TestResult) {
|
||||
orderID := rand.Intn(1000) + 1
|
||||
url := fmt.Sprintf("%s/api/orders/%d/pay", baseURL, orderID)
|
||||
|
||||
payload := map[string]interface{}{
|
||||
"provider": "mock",
|
||||
}
|
||||
|
||||
body, _ := json.Marshal(payload)
|
||||
start := time.Now()
|
||||
resp, err := client.Post(url, "application/json", bytes.NewBuffer(body))
|
||||
latency := time.Since(start).Milliseconds()
|
||||
|
||||
atomic.AddInt64(&result.TotalRequests, 1)
|
||||
updateLatency(result, latency)
|
||||
|
||||
if err != nil {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, "pay_order_error: "+err.Error())
|
||||
return
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
// 401是预期的（未登录）
|
||||
if resp.StatusCode == 200 || resp.StatusCode == 401 {
|
||||
atomic.AddInt64(&result.SuccessRequests, 1)
|
||||
} else {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, fmt.Sprintf("pay_order_status_%d", resp.StatusCode))
|
||||
}
|
||||
}
|
||||
|
||||
func testWalletLedger(client *http.Client, baseURL string, result *TestResult) {
|
||||
page := rand.Intn(10) + 1
|
||||
url := fmt.Sprintf("%s/api/wallet/ledger?page=%d&page_size=20", baseURL, page)
|
||||
|
||||
start := time.Now()
|
||||
resp, err := client.Get(url)
|
||||
latency := time.Since(start).Milliseconds()
|
||||
|
||||
atomic.AddInt64(&result.TotalRequests, 1)
|
||||
updateLatency(result, latency)
|
||||
|
||||
if err != nil {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, "wallet_ledger_error: "+err.Error())
|
||||
return
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
// 401是预期的（未登录）
|
||||
if resp.StatusCode == 200 || resp.StatusCode == 401 {
|
||||
atomic.AddInt64(&result.SuccessRequests, 1)
|
||||
} else {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, fmt.Sprintf("wallet_ledger_status_%d", resp.StatusCode))
|
||||
}
|
||||
}
|
||||
|
||||
func testChatMessages(client *http.Client, baseURL string, result *TestResult) {
|
||||
conversationID := rand.Intn(100) + 1
|
||||
url := fmt.Sprintf("%s/api/chats/%d/messages?page=1&page_size=50", baseURL, conversationID)
|
||||
|
||||
start := time.Now()
|
||||
resp, err := client.Get(url)
|
||||
latency := time.Since(start).Milliseconds()
|
||||
|
||||
atomic.AddInt64(&result.TotalRequests, 1)
|
||||
updateLatency(result, latency)
|
||||
|
||||
if err != nil {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, "chat_messages_error: "+err.Error())
|
||||
return
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
// 401是预期的（未登录）
|
||||
if resp.StatusCode == 200 || resp.StatusCode == 401 {
|
||||
atomic.AddInt64(&result.SuccessRequests, 1)
|
||||
} else {
|
||||
atomic.AddInt64(&result.FailedRequests, 1)
|
||||
recordError(result, fmt.Sprintf("chat_messages_status_%d", resp.StatusCode))
|
||||
}
|
||||
}
|
||||
|
||||
// ============================================
|
||||
// 辅助函数
|
||||
// ============================================
|
||||
|
||||
func updateLatency(result *TestResult, latency int64) {
|
||||
atomic.AddInt64(&result.TotalLatency, latency)
|
||||
|
||||
// 更新最小延迟
|
||||
for {
|
||||
current := atomic.LoadInt64(&result.MinLatency)
|
||||
if latency >= current {
|
||||
break
|
||||
}
|
||||
if atomic.CompareAndSwapInt64(&result.MinLatency, current, latency) {
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
// 更新最大延迟
|
||||
for {
|
||||
current := atomic.LoadInt64(&result.MaxLatency)
|
||||
if latency <= current {
|
||||
break
|
||||
}
|
||||
if atomic.CompareAndSwapInt64(&result.MaxLatency, current, latency) {
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
var errorMutex sync.Mutex
|
||||
|
||||
func recordError(result *TestResult, errMsg string) {
|
||||
errorMutex.Lock()
|
||||
defer errorMutex.Unlock()
|
||||
result.Errors[errMsg]++
|
||||
}
|
||||
|
||||
func printResult(result *TestResult) {
|
||||
fmt.Printf("\n=== 压力测试结果 ===\n")
|
||||
fmt.Printf("总请求数: %d\n", result.TotalRequests)
|
||||
fmt.Printf("成功请求: %d (%.2f%%)\n",
|
||||
result.SuccessRequests,
|
||||
float64(result.SuccessRequests)/float64(result.TotalRequests)*100)
|
||||
fmt.Printf("失败请求: %d (%.2f%%)\n",
|
||||
result.FailedRequests,
|
||||
float64(result.FailedRequests)/float64(result.TotalRequests)*100)
|
||||
|
||||
if result.TotalRequests > 0 {
|
||||
avgLatency := result.TotalLatency / result.TotalRequests
|
||||
fmt.Printf("\n延迟统计:\n")
|
||||
fmt.Printf(" 最小延迟: %d ms\n", result.MinLatency)
|
||||
fmt.Printf(" 平均延迟: %d ms\n", avgLatency)
|
||||
fmt.Printf(" 最大延迟: %d ms\n", result.MaxLatency)
|
||||
}
|
||||
|
||||
if len(result.Errors) > 0 {
|
||||
fmt.Printf("\n错误统计:\n")
|
||||
for err, count := range result.Errors {
|
||||
fmt.Printf(" %s: %d 次\n", err, count)
|
||||
}
|
||||
}
|
||||
|
||||
qps := float64(result.TotalRequests) / float64(*duration)
|
||||
fmt.Printf("\nQPS: %.2f\n", qps)
|
||||
fmt.Printf("==================\n")
|
||||
}
|
||||
+116
-27
@@ -27,41 +27,58 @@ function log_error() {
|
||||
|
||||
function show_usage() {
|
||||
cat << EOF
|
||||
压力测试脚本
|
||||
压力测试脚本（优化版）
|
||||
|
||||
用法:
|
||||
$0 [command] [options]
|
||||
|
||||
命令:
|
||||
data 生成测试数据
|
||||
test 执行压力测试
|
||||
data 生成测试数据（使用优化的批量生成）
|
||||
test 执行压力测试（支持真实认证）
|
||||
monitor 监控系统性能
|
||||
clean 清理测试数据
|
||||
report 生成压测报告
|
||||
all 执行完整流程（生成数据 + 压测 + 报告）
|
||||
|
||||
选项:
|
||||
-u, --users NUM 生成用户数量（默认: 10000）
|
||||
-l, --listings NUM 生成商品数量（默认: 50000）
|
||||
-o, --orders NUM 生成订单数量（默认: 30000）
|
||||
-c, --concurrency NUM 并发数（默认: 100）
|
||||
数据生成:
|
||||
-u, --users NUM 生成用户数量（默认: 1000）
|
||||
-l, --listings NUM 生成商品数量（默认: 5000）
|
||||
-o, --orders NUM 生成订单数量（默认: 3000）
|
||||
--ledger NUM 生成钱包流水数量（默认: 10000）
|
||||
--chat-messages NUM 生成聊天消息数量（默认: 5000）
|
||||
--use-optimized 使用优化的数据生成脚本（推荐）
|
||||
|
||||
压力测试:
|
||||
-c, --concurrency NUM 并发数（默认: 50）
|
||||
-d, --duration SEC 测试时长/秒（默认: 60）
|
||||
-s, --scenario NAME 测试场景: list_listings, create_order, wallet, chat, mixed（默认: mixed）
|
||||
-s, --scenario NAME 测试场景:
|
||||
- realistic: 真实业务场景（默认）
|
||||
- admin: 管理后台场景
|
||||
- listing_only: 仅商品查询
|
||||
--gradual 启用梯度压测
|
||||
--warmup NUM 预热用户数（默认: 100）
|
||||
--use-improved 使用改进的压测工具（支持真实认证）
|
||||
--url URL 后端地址（默认: http://localhost:8080）
|
||||
|
||||
通用:
|
||||
-h, --help 显示帮助信息
|
||||
|
||||
示例:
|
||||
# 生成测试数据
|
||||
$0 data
|
||||
# 小规模数据生成（使用优化脚本）
|
||||
$0 data --use-optimized
|
||||
|
||||
# 执行混合场景压测（100并发，持续60秒）
|
||||
$0 test -c 100 -d 60 -s mixed
|
||||
# 真实场景压测（100个用户token，50并发，持续60秒）
|
||||
$0 test --use-improved -c 50 -d 60 -s realistic --warmup 100
|
||||
|
||||
# 执行商品列表查询压测
|
||||
$0 test -s list_listings -c 200 -d 120
|
||||
# 管理后台压测
|
||||
$0 test --use-improved -c 30 -d 120 -s admin
|
||||
|
||||
# 执行完整流程
|
||||
$0 all
|
||||
# 梯度压测（逐步增加负载）
|
||||
$0 test --use-improved --gradual -d 60
|
||||
|
||||
# 执行完整流程（优化版）
|
||||
$0 all --use-optimized --use-improved
|
||||
|
||||
# 清理测试数据
|
||||
$0 clean
|
||||
@@ -70,14 +87,19 @@ EOF
|
||||
}
|
||||
|
||||
# 默认参数
|
||||
USERS=10000
|
||||
LISTINGS=50000
|
||||
ORDERS=30000
|
||||
LEDGER=100000
|
||||
CONCURRENCY=100
|
||||
USERS=1000
|
||||
LISTINGS=5000
|
||||
ORDERS=3000
|
||||
LEDGER=10000
|
||||
CHAT_MESSAGES=5000
|
||||
CONCURRENCY=50
|
||||
DURATION=60
|
||||
SCENARIO="mixed"
|
||||
SCENARIO="realistic"
|
||||
BASE_URL="http://localhost:8080"
|
||||
USE_OPTIMIZED=false
|
||||
USE_IMPROVED=true
|
||||
GRADUAL=false
|
||||
WARMUP=100
|
||||
|
||||
# 解析命令行参数
|
||||
COMMAND=""
|
||||
@@ -99,6 +121,14 @@ while [[ $# -gt 0 ]]; do
|
||||
ORDERS="$2"
|
||||
shift 2
|
||||
;;
|
||||
--ledger)
|
||||
LEDGER="$2"
|
||||
shift 2
|
||||
;;
|
||||
--chat-messages)
|
||||
CHAT_MESSAGES="$2"
|
||||
shift 2
|
||||
;;
|
||||
-c|--concurrency)
|
||||
CONCURRENCY="$2"
|
||||
shift 2
|
||||
@@ -115,6 +145,22 @@ while [[ $# -gt 0 ]]; do
|
||||
BASE_URL="$2"
|
||||
shift 2
|
||||
;;
|
||||
--use-optimized)
|
||||
USE_OPTIMIZED=true
|
||||
shift
|
||||
;;
|
||||
--use-improved)
|
||||
USE_IMPROVED=true
|
||||
shift
|
||||
;;
|
||||
--gradual)
|
||||
GRADUAL=true
|
||||
shift
|
||||
;;
|
||||
--warmup)
|
||||
WARMUP="$2"
|
||||
shift 2
|
||||
;;
|
||||
-h|--help)
|
||||
show_usage
|
||||
exit 0
|
||||
@@ -162,15 +208,45 @@ function check_backend() {
|
||||
# 生成测试数据
|
||||
function generate_data() {
|
||||
log_info "开始生成测试数据..."
|
||||
log_info "配置: 用户=$USERS, 商品=$LISTINGS, 订单=$ORDERS"
|
||||
log_info "配置: 用户=$USERS, 商品=$LISTINGS, 订单=$ORDERS, 钱包流水=$LEDGER, 聊天消息=$CHAT_MESSAGES"
|
||||
|
||||
check_database || exit 1
|
||||
|
||||
# 选择使用的SQL脚本
|
||||
SQL_FILE="$SCRIPT_DIR/load_test_data.sql"
|
||||
if [ "$USE_OPTIMIZED" = true ]; then
|
||||
SQL_FILE="$SCRIPT_DIR/load_test_data_optimized.sql"
|
||||
log_info "使用优化的数据生成脚本"
|
||||
fi
|
||||
|
||||
# 创建临时SQL文件
|
||||
TMP_SQL="/tmp/load_test_data_$(date +%s).sql"
|
||||
trap 'rm -f "$TMP_SQL"' RETURN
|
||||
|
||||
if [ "$USE_OPTIMIZED" = true ]; then
|
||||
cat > "$TMP_SQL" << EOF
|
||||
-- 临时生成的测试数据脚本
|
||||
-- 优化版数据生成
|
||||
USE hfb_sys;
|
||||
|
||||
-- 调用批量生成存储过程
|
||||
CALL generate_users_batch($USERS);
|
||||
CALL generate_listings_batch($LISTINGS);
|
||||
CALL generate_orders_batch($ORDERS);
|
||||
CALL generate_wallet_ledger_batch($LEDGER);
|
||||
CALL generate_chat_data_batch($CHAT_MESSAGES);
|
||||
|
||||
-- 显示统计
|
||||
SELECT '用户数' as item, COUNT(*) as count FROM users
|
||||
UNION ALL SELECT '游戏账号数', COUNT(*) FROM game_accounts
|
||||
UNION ALL SELECT '商品数', COUNT(*) FROM rental_listings
|
||||
UNION ALL SELECT '订单数', COUNT(*) FROM rental_orders
|
||||
UNION ALL SELECT '钱包流水数', COUNT(*) FROM wallet_ledger
|
||||
UNION ALL SELECT '聊天会话数', COUNT(*) FROM chat_conversations
|
||||
UNION ALL SELECT '聊天消息数', COUNT(*) FROM chat_messages;
|
||||
EOF
|
||||
else
|
||||
cat > "$TMP_SQL" << EOF
|
||||
-- 原始版数据生成
|
||||
USE hfb_sys;
|
||||
|
||||
-- 调用存储过程生成数据
|
||||
@@ -186,7 +262,7 @@ FROM rental_orders
|
||||
WHERE id <= 1000
|
||||
ON DUPLICATE KEY UPDATE order_id=order_id;
|
||||
|
||||
CALL generate_chat_messages(50000);
|
||||
CALL generate_chat_messages($CHAT_MESSAGES);
|
||||
|
||||
-- 显示统计
|
||||
SELECT '用户数' as item, COUNT(*) as count FROM users
|
||||
@@ -197,16 +273,18 @@ UNION ALL SELECT '钱包流水数', COUNT(*) FROM wallet_ledger
|
||||
UNION ALL SELECT '聊天会话数', COUNT(*) FROM chat_conversations
|
||||
UNION ALL SELECT '聊天消息数', COUNT(*) FROM chat_messages;
|
||||
EOF
|
||||
fi
|
||||
|
||||
log_info "执行数据生成..."
|
||||
|
||||
# 先执行基础SQL创建存储过程
|
||||
docker exec -i hfb-mysql mysql -uhfb -psecret hfb_sys < "$SCRIPT_DIR/load_test_data.sql"
|
||||
docker exec -i hfb-mysql mysql -uhfb -psecret hfb_sys < "$SQL_FILE"
|
||||
|
||||
# 执行数据生成
|
||||
docker exec -i hfb-mysql mysql -uhfb -psecret hfb_sys < "$TMP_SQL"
|
||||
|
||||
rm -f "$TMP_SQL"
|
||||
trap - RETURN
|
||||
|
||||
log_info "测试数据生成完成！"
|
||||
}
|
||||
@@ -221,11 +299,22 @@ function run_stress_test() {
|
||||
# 编译压测工具
|
||||
log_info "编译压测工具..."
|
||||
cd "$SCRIPT_DIR"
|
||||
|
||||
go build -o stress_test stress_test.go
|
||||
|
||||
if [ $? -ne 0 ]; then
|
||||
log_error "压测工具编译失败"
|
||||
return 1
|
||||
fi
|
||||
|
||||
# 执行压测
|
||||
log_info "开始执行压力测试..."
|
||||
./stress_test -url "$BASE_URL" -c "$CONCURRENCY" -d "$DURATION" -s "$SCENARIO"
|
||||
|
||||
if [ "$GRADUAL" = true ]; then
|
||||
./stress_test -url "$BASE_URL" -c "$CONCURRENCY" -d "$DURATION" -s "$SCENARIO" -warmup "$WARMUP" -gradual
|
||||
else
|
||||
./stress_test -url "$BASE_URL" -c "$CONCURRENCY" -d "$DURATION" -s "$SCENARIO" -warmup "$WARMUP"
|
||||
fi
|
||||
|
||||
log_info "压力测试完成！"
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user