这篇文章主要介绍python如何实现内存监控系统，文中介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们一定要看完！
具体内容如下
思路：通过系统命令或操作系统文件获取到内存信息(linux 内存信息存在/proc/meminfo文件中,mac os 通过命令vm_stat命令可以查看)
并将获取到信息保存到数据库中,通过web将数据实时的展示出来.(获取数据—展示数据)
1、后台数据采集（获取数据）
import subprocess import re import MySQLdb as mysql import time import socket #获取mysql数据游标,通过游标操作数据库 db = mysql.connect(user="root", passwd="123456",host="localhost", db="EBANK", charset="utf8") db.autocommit(True) cur = db.cursor() """ Mac系统各应用程序占内存信息 """ def processesUseMeminfo(): ps = subprocess.Popen(['ps', '-caxm', '-orss,comm'], stdout=subprocess.PIPE).communicate()[0] processLines = ps.split('\n') print processLines sep = re.compile('[\s]+') rssTotal = 0 # kB for row in range(1,len(processLines)): rowText = processLines[row].strip() rowElements = sep.split(rowText) try: rss = float(rowElements[0]) * 1024 except: rss = 0 # ignore... rssTotal += rss return rssTotal """ Mac内存活动信息 """ def processVM(): vm = subprocess.Popen(['vm_stat'], stdout=subprocess.PIPE).communicate()[0] vmLines = vm.split('\n') sep = re.compile(':[\s]+') vmStats = {} for row in range(1,len(vmLines)-2): rowText = vmLines[row].strip() rowElements = sep.split(rowText) vmStats[(rowElements[0])] = int(rowElements[1].strip('\.'))/1024 return vmStats """ 执行更新数据库中内存信息,供web展示内存的实时数据 """ erval = 0 def execute(): '''更新内存活动信息''' global erval try: ip = socket.gethostbyname(socket.gethostname()) #获取本机ip #ip = '10.21.8.10' vmStats = processVM() wired = vmStats['Pages wired down'] active = vmStats['Pages active'] free = vmStats['Pages free'] inactive = vmStats['Pages inactive'] t = int(time.time()) sql = "insert into stat(host,mem_free,mem_usage,mem_total,load_avg,time) VALUES ('%s','%d','%d','%d','%d','%d')"\ %(ip,wired,active,free,inactive,t) print sql cur.execute(sql) erval += 1 if erval > 50: del_sql = "delete from stat where time < %d "%t print '执行数据清理.',del_sql cur.execute(del_sql) erval = 0 except Exception , message : print '获取内存信息异常:',message #pass finally: pass '''更新''' #TODO #rssTotal = processesUseMeminfo() #死循环不停的读取内存，每一秒钟插入一条新的内存信息 while True: time.sleep(1) execute() print 'none.'
获取到数据保存到MySQL数据中，新建表：
CREATE TABLE `stat` ( `id` int(11) unsigned NOT NULL AUTO_INCREMENT, `host` varchar(256) DEFAULT NULL, `mem_free` int(11) DEFAULT NULL, `mem_usage` int(11) DEFAULT NULL, `mem_total` int(11) DEFAULT NULL, `load_avg` varchar(128) DEFAULT NULL, `time` bigint(11) DEFAULT NULL, PRIMARY KEY (`id`), KEY `host` (`host`(255)) ) ENGINE=InnoDB AUTO_INCREMENT=0 DEFAULT CHARSET=utf8;
2、前台web采用flask应用框架，通过highstock实时展示折线图数据
from flask import Flask, request, render_template import json import MySQLdb as mysql app = Flask(__name__) db = mysql.connect(user="root", passwd="123456",host="localhost", db="EBANK", charset="utf8") db.autocommit(True) cur = db.cursor() @app.route("/") def index(): return render_template("monitor.html") tmp_time = 0 @app.route("/data") def getdata(): '''第一次查询全量数据，后面只查询增量数据''' global tmp_time if tmp_time > 0 : sql = "select time,mem_free from stat where time >%s" %(tmp_time) else: sql = "select time,mem_free from stat" cur.execute(sql) datas = [] for i in cur.fetchall(): datas.append([i[0], i[1]]) if len(datas) > 0 : tmp_time = datas[-1][0] return json.dumps(datas) if __name__ == "__main__": app.run(host='0.0.0.0',port=8888,debug=True)新建一个monitor.html
<html lang="en"> <head> <meta charset="UTF-8"> <title>内存监控</title> <script src="http://cdn.hcharts.cn/jquery/jquery-1.8.3.min.js"></script> <script src="http://cdn.hcharts.cn/highstock/highstock.js"></script> <script src="http://cdn.hcharts.cn/highcharts/modules/exporting.js"></script> </head> <body> <div id="container" ></div> </body> <script type="text/javascript"> $(function () { $.getJSON('/data', function (data) { // Create the chart $('#container').highcharts('StockChart', { chart: { events: { load: function () { var chart = $('#container').highcharts(); var series = chart.series[0]; //隔1秒，请求一次/data，实时获取内存信息 setInterval(function () { $.getJSON("/data", function (res) { $.each(res, function (i, v) { series.addPoint(v); }); }); }, 1000); } } }, rangeSelector : { selected : 1 }, title : { text : 'AAPL Stock Price' }, series : [{ name : 'AAPL', data : data, tooltip: { valueDecimals: 2 } }] }); }); }); </script> </html>
done.
运行后台数据采集，运行前台web，通过http://localhost:8888/ 实时监控内存的活动情况。
效果图
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