add: 服务器卡顿诊断脚本 profile-server-lag 与 fix-db-latency
Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
XingQue
77
deploy/fix-db-latency.sh
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77
deploy/fix-db-latency.sh
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#!/bin/bash
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# 诊断并修复 API 延迟：对比本机 Docker MySQL vs 远程 gvsds.com
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# 在服务器上执行：bash deploy/fix-db-latency.sh
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set -e
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DJANGO_DIR="/opt/1panel/apps/openresty/nginx/www/sites/43.142.166.152.443/django"
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cd "$DJANGO_DIR"
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echo "========== 1. Gunicorn 状态 =========="
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systemctl is-active gunicorn-dianjing.service || true
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pgrep -af 'gunicorn.*a_long_dianjing' || echo "无 gunicorn 进程！"
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echo ""
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echo "========== 2. 当前数据库配置 =========="
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python3 - <<'PY'
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import app_secrets
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print(f"HOST={app_secrets.DATABASE_HOST} PORT={app_secrets.DATABASE_PORT} DB={app_secrets.DATABASE_NAME}")
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PY
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echo ""
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echo "========== 3. 连接延迟对比（新建连接 + 简单查询）=========="
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python3 - <<'PY'
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import time
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import pymysql
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import app_secrets
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def test_host(host, port, user, password, db):
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t0 = time.time()
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try:
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conn = pymysql.connect(
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host=host, port=int(port), user=user, password=password,
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database=db, connect_timeout=5, charset='utf8mb4',
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)
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connect_ms = (time.time() - t0) * 1000
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t1 = time.time()
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with conn.cursor() as cur:
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cur.execute("SELECT 1")
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cur.fetchone()
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query_ms = (time.time() - t1) * 1000
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conn.close()
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return connect_ms, query_ms, None
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except Exception as e:
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return None, None, str(e)
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user = app_secrets.DATABASE_USER
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pwd = app_secrets.DATABASE_PASSWORD
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db = app_secrets.DATABASE_NAME
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cur_host = app_secrets.DATABASE_HOST
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cur_port = app_secrets.DATABASE_PORT
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for label, host, port in [
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("当前生产", cur_host, cur_port),
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("本机 Docker", "172.17.0.15", "3306"),
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]:
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c, q, err = test_host(host, port, user, pwd, db)
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if err:
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print(f" [{label}] {host}:{port} -> 失败: {err}")
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else:
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print(f" [{label}] {host}:{port} -> 握手 {c:.0f}ms, 查询 {q:.0f}ms")
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print("\n若本机 Docker 成功且 <20ms，应改 app_secrets.py 的 DATABASE_HOST=172.17.0.15 PORT=3306")
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PY
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echo ""
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echo "========== 4. 本地 API 响应（ddhq 需 token，测空接口）=========="
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curl -s -o /dev/null -w "127.0.0.1:8001 响应: %{time_total}s\n" http://127.0.0.1:8001/hqhd/ 2>/dev/null || echo "8001 无响应"
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echo ""
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echo "========== 5. Nginx 最近 hqhd 延迟（rt=）=========="
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grep 'hqhd' /opt/1panel/apps/openresty/nginx/log/access.log 2>/dev/null | tail -5 || echo "无日志"
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echo ""
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echo "========== 修复步骤（本机库可用时）=========="
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echo "1. 备份: cp app_secrets.py app_secrets.py.bak.\$(date +%Y%m%d)"
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echo "2. 改 DATABASE_HOST='172.17.0.15' DATABASE_PORT='3306'"
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echo "3. systemctl restart gunicorn-dianjing.service"
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echo "4. 再 grep hqhd access.log 看 rt= 是否回到 0.05~0.08"
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168
deploy/profile-server-lag.sh
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168
deploy/profile-server-lag.sh
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#!/bin/bash
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# 服务器卡顿定位 — 一次跑完，输出「卡在哪一层」结论
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# 用法: bash deploy/profile-server-lag.sh
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# 只读诊断，不改任何配置
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set -e
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DJANGO_DIR="/opt/1panel/apps/openresty/nginx/www/sites/43.142.166.152.443/django"
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NGINX_LOG="/opt/1panel/apps/openresty/nginx/log/access.log"
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cd "$DJANGO_DIR"
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echo "=============================================="
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echo " 星阙服务器卡顿定位 — $(date '+%Y-%m-%d %H:%M:%S')"
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echo "=============================================="
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# ---------- A. 进程层：Gunicorn 是否在排队 ----------
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echo ""
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echo ">>> [A] Gunicorn 进程 / 端口"
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systemctl is-active gunicorn-dianjing.service 2>/dev/null || echo "systemd: inactive"
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GC=$(pgrep -cf 'gunicorn.*a_long_dianjing' 2>/dev/null || echo 0)
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echo "gunicorn 进程数: $GC (正常=5: 1master+4worker)"
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ss -ltn 2>/dev/null | grep ':8001' || netstat -ltn 2>/dev/null | grep ':8001' || echo "8001 未监听"
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echo ""
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echo ">>> [A2] 本机直连 Gunicorn（绕过 Nginx）"
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for path in "/" "/hqhd/"; do
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T=$(curl -s -o /dev/null -w '%{time_total}' --connect-timeout 3 "http://127.0.0.1:8001${path}" 2>/dev/null || echo "FAIL")
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echo " 127.0.0.1:8001${path} -> ${T}s"
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done
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# ---------- B. 数据库层：握手 + 单条 SQL ----------
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echo ""
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echo ">>> [B] MySQL 延迟（从本机 Django 目录测）"
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python3 - <<'PY'
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import time, sys
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try:
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import app_secrets
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import pymysql
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except Exception as e:
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print(f" 无法导入: {e}")
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sys.exit(0)
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host, port = app_secrets.DATABASE_HOST, int(app_secrets.DATABASE_PORT)
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user, pwd, db = app_secrets.DATABASE_USER, app_secrets.DATABASE_PASSWORD, app_secrets.DATABASE_NAME
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print(f" 当前配置: {host}:{port} / {db}")
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def bench(label, h, p):
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try:
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t0 = time.perf_counter()
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conn = pymysql.connect(host=h, port=p, user=user, password=pwd, database=db, connect_timeout=5)
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t_conn = (time.perf_counter() - t0) * 1000
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t1 = time.perf_counter()
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with conn.cursor() as c:
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c.execute("SELECT COUNT(*) FROM information_schema.tables WHERE table_schema=%s", (db,))
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c.fetchone()
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t_q = (time.perf_counter() - t1) * 1000
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conn.close()
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print(f" [{label}] {h}:{p} 新建连接={t_conn:.0f}ms 单条SQL={t_q:.0f}ms")
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return t_conn, t_q
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except Exception as e:
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print(f" [{label}] {h}:{p} 失败: {e}")
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return None, None
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cur_c, cur_q = bench("生产库", host, port)
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loc_c, loc_q = bench("本机Docker", "172.17.0.15", 3306)
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print("")
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if cur_q and cur_q > 30:
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print(" >>> 结论B: 数据库在远程，每条SQL ~50ms+，接口跑10+条SQL就会慢200ms+")
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if loc_q and loc_q < 10 and cur_q and cur_q > 30:
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print(" >>> 修复: app_secrets.py 改 DATABASE_HOST=172.17.0.15 PORT=3306 后 restart gunicorn")
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PY
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# ---------- C. Django 层：模拟 dddhq 打了多少条 SQL ----------
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echo ""
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echo ">>> [C] /dingdan/ddhq 一次请求打几条 SQL、耗时多少"
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python3 - <<'PY'
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import os, sys, time
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os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'a_long_dianjing.settings')
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sys.path.insert(0, '.')
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try:
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import django
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django.setup()
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from django.db import connection, reset_queries
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from django.conf import settings
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settings.DEBUG = True # 仅本脚本进程内开启 query log
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reset_queries()
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t0 = time.perf_counter()
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# 不跑完整 view（要 token），只测典型 ORM 链：订单列表 count + page
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from orders.models import Order
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from django.db.models import Q
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qs = Order.query.filter(Q(Status__in=[1, 7])).order_by('-CreateTime')
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total = qs.count()
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page = list(qs[:5].values('OrderID', 'Status', 'CreateTime'))
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elapsed = (time.perf_counter() - t0) * 1000
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n = len(connection.queries)
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sql_ms = sum(float(q.get('time', 0)) for q in connection.queries) * 1000
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print(f" 仅订单 count+取5条: SQL条数={n} Django记录SQL耗时={sql_ms:.0f}ms 总耗时={elapsed:.0f}ms 订单总数={total}")
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print(f" （完整 /ddhq 还有会员/标签/商家等查询，实际 SQL 通常 15~30 条）")
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if n > 0:
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print(" 最慢的3条SQL:")
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for q in sorted(connection.queries, key=lambda x: float(x.get('time', 0)), reverse=True)[:3]:
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sql = q['sql'][:120].replace('\n', ' ')
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print(f" {float(q['time'])*1000:.0f}ms {sql}...")
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except Exception as e:
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print(f" Django 测速失败: {e}")
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import traceback; traceback.print_exc()
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PY
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# ---------- D. Nginx 层：最近真实接口 rt= 分布 ----------
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echo ""
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echo ">>> [D] Nginx 最近 hqhd 接口 rt=（真实用户体感）"
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if [ -f "$NGINX_LOG" ]; then
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echo " 最近20条 hqhd:"
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grep 'hqhd' "$NGINX_LOG" | tail -20 | while read -r line; do
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RT=$(echo "$line" | grep -oP 'rt=\K[0-9.]+' || echo "?")
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URI=$(echo "$line" | grep -oP '"(GET|POST) \K[^ ]+' || echo "?")
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echo " rt=${RT}s $URI"
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done
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echo ""
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echo " 各接口 rt 中位数（最近500条 hqhd）:"
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grep 'hqhd' "$NGINX_LOG" | tail -500 | grep -oP 'rt=\K[0-9.]+' | sort -n | awk '
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{ a[NR]=$1; sum+=$1 }
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END {
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if(NR==0){ print " 无数据"; exit }
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mid=(NR%2)?a[(NR+1)/2]:(a[NR/2]+a[NR/2+1])/2
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printf " 样本=%d 中位rt=%.3fs 平均rt=%.3fs 最大rt=%.3fs\n", NR, mid, sum/NR, a[NR]
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}'
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else
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echo " 找不到 $NGINX_LOG"
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fi
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# ---------- E. 系统层：CPU/内存/磁盘/journal ----------
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echo ""
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echo ">>> [E] 系统资源"
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echo " load: $(cat /proc/loadavg 2>/dev/null || uptime)"
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free -h 2>/dev/null | head -2 || true
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journalctl --disk-usage 2>/dev/null | head -1 || true
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# ---------- F. 并发层：谁在狂刷 ----------
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echo ""
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echo ">>> [F] 最近1分钟请求最多的 IP+接口（是否有人刷接口拖慢）"
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if [ -f "$NGINX_LOG" ]; then
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tail -3000 "$NGINX_LOG" | grep 'hqhd' | awk '{
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for(i=1;i<=NF;i++) if($i ~ /^[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+$/) ip=$i
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if(match($0, /"(GET|POST) ([^ ]+)/, m)) uri=m[2]
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if(ip && uri) c[ip" "uri]++
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} END {
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n=0
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for(k in c) arr[n++]=c[k]" "k
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asort(arr)
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for(i=n;i>0 && i>n-10;i--) print " "arr[i]
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}' 2>/dev/null || echo " (需 gawk 支持 match 第三参数，可忽略)"
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fi
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echo ""
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echo "=============================================="
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echo " 怎么看结果："
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echo " - A 里 curl >1s 且 B 里 SQL>30ms → 卡在数据库远程连接"
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echo " - A 里 curl 快但 D 里 rt 慢 → 卡在 Nginx/上游配置或并发"
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echo " - C 里 SQL条数>20 → 卡在接口 SQL 太多（后端代码）"
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echo " - E 里 journal 很大/load 很高 → 卡在系统资源"
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echo " - F 里同一 IP 每秒同一接口 → 卡在被人刷接口"
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echo "=============================================="
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