Question

我需要创建20个API才能使用我的应用。这些API将从我的MySQL数据库中获取数据。由于我预计流量在高峰时段（高峰时段仅为2小时）相当高，并且每秒可能会收到30到50个请求。

我关心的是联系。由于一次只允许3个连接，使用方法我关闭游标和数据库将能够处理高流量，用户能够访问20个API而没有问题？我获取的数据很小，因为我在文本中的整个数据库只有2MB。

如果此方法可以处理高流量，我不想切换到sqlalchemy。

# A very simple Flask Hello World app for you to get started with...

from flask import Flask,jsonify,abort,make_response,request,render_template
import MySQLdb
import MySQLdb.cursors

app = Flask(__name__)


@app.route('/MUSIC', methods=['GET'])
def Music():
    db = MySQLdb.connect(host='doreme.mysql.pythonanywhere-services.com',user='doreme',passwd='pw',db='doreme$default',cursorclass=MySQLdb.cursors.DictCursor)
    curs = db.cursor()
    try:
        curs.execute("SELECT * FROM MUSIC")
        a = curs.fetchall()
    except Exception:
        return 'Error: unable to fetch items'
    finally:
        curs.close()
        db.close()
    return jsonify({'Music': a})

@app.route('/MUSICKorea', methods=['GET'])
def MusicKorea():
    db = MySQLdb.connect(host='doreme.mysql.pythonanywhere-services.com',user='doreme',passwd='pw',db='doreme$default',cursorclass=MySQLdb.cursors.DictCursor)
    curs = db.cursor()
    try:
        curs.execute("SELECT * FROM MusicKorea")
        b = curs.fetchall()
    except Exception:
        return 'Error: unable to fetch items'
    finally:
        curs.close()
        db.close()
    #return "hihi"
    return jsonify({'Song': b})

@app.route('/MUSICKorea/<Item>', methods=['GET'])
def Musicitem(Korea):
    db = MySQLdb.connect(host='doreme.mysql.pythonanywhere-services.com',user='doreme',passwd='pw',db='doreme$default',cursorclass=MySQLdb.cursors.DictCursor)
    try:
        curs.execute("SELECT * FROM MUSIC WHERE Song LIKE %s",(Korea,))
        c = curs.fetchall()
    except Exception:
        return 'Error: unable to fetch items'
    finally:
        curs.close()
        db.close()
    return jsonify({'Korea': c})

Answer 1

您可以使用http基准测试工具（ab，wrk，...列出更多工具here）轻松测试您的wsgi应用程序。

测量python函数和/或mysql查询所花费的时间（非常简单，timeit可能更好）：

import time
...

@app.route('/MUSICKorea/<Item>', methods=['GET'])
def Musicitem(Korea):
    t = time.time()
    db = MySQLdb.connect(host='doreme.mysql.pythonanywhere-services.com',user='doreme',passwd='pw',db='doreme$default',cursorclass=MySQLdb.cursors.DictCursor)
    print('connecting took %.6f seconds' % (time.time()-t))
    try:
        curs.execute("SELECT * FROM MUSIC WHERE Song LIKE %s",(Korea,))
        c = curs.fetchall()
    except Exception:
        return 'Error: unable to fetch items'
    finally:
        curs.close()
        db.close()
    print('Musicitem took %.6f seconds' % (time.time()-t))
    return jsonify({'Korea': c})

Flask：关闭数据库连接的方式，它能够处理高流量吗？

1 个答案: