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Small python script for monitoring MySQL performance

I have few services which use MySQL as database server. I would like to have information about load in PNG  image  or  in Cacti app.
MySQL   has  performance information at 'SHOW STATUS' command.

Values  which  are monitored : 
 threads_running, threads_connected, thread_cached, slow_queries
 Of course,  it is really easy to add more variables.

Connection to MySQL is accomplished by MySQLdb  module. Typical example of usage is below :
import MySQLdb
mydb = MySQLdb.connect(host = 'hostname', 
                        user = 'username',
                        password = 'secret',
                        database = 'mysatabase'
mycursor = mydb.cursor()
mycursor.execute('SQL command')
sqlresult = cur.fetchall()

Storing data in rrd file is aviable via rrdtools package. This one is present in debian and Centos OS. example of creating file is below:
import rrdtool
rrdtool.create("myfile.rrd" ,
"DS:value1:datatype:heartbeat:lowerlimit:upperlimit ", 
This one function is more interested : "DS:value1:datatype:heartbeat:lowerlimit:upperlimit "means : value1 -- value which is stored in RRD heartbeat - howmuch time we wait before setting data to unknown lowerlimit:upperlimit - this is limits for a data "RRA:functionname:percentage:dataset:storedvalues" Functionname can be : AVERAGE the average of the data points is stored. MIN the smallest of the data points is stored. MAX the largest of the data points is stored. LAST the last data points is used. Percentage - how much unknown values can be but calculation be performed. dataset : how many values is used for calculation storedvalues : how many data are stored. Example: we are storing 5 min data and one day should be stored. In this case we need : 60/5 * 24 = 288 if we need information for week and with one hour interval then : 24 records for day (every hour) * 7 day = 168 Unite all together (Config parser is trivial and I skip it ):
import MySQLdb
import sys
import rrdtool
from ConfigParser import SafeConfigParser

def main(conf_file="./mysqlmonitor.conf"):

    mydb, rrdfilename  = databaseconnect(conf_file)    

    cur = mydb.cursor()
    command = cur.execute('SHOW STATUS')
    res = cur.fetchall()

    for record in res:

        if record[0] == "Threads_running":
            threads_running = record[1]
            print "Threads_running:", threads_running
        if record[0] == "Threads_connected":
            threads_connected = record[1]
            print "Threads_connected:", threads_connected
        if record[0] == "Threads_cached":
            threads_cached  = record[1]
            print "Threads_cached:", threads_cached
        if record[0] == "Slow_queries":
            slow_queries = record[1]
            print slow_queries
        with open(rrdfilename) as rrdfile :
            rrdupdate(rrdfilename, threads_running, threads_connected, threads_cached, slow_queries)
    except IOError as e:
        print 'RRD file is not present creating'

def rrdcreate(rrdfilename):
    """ function for creating RRD file"""
    ret = rrdtool.create(rrdfilename, "--step", "300", "--start", "0",

def rrdupdate(rrdfilename, threads_running, threads_connected, threads_cached, slow_queries):
    """ updating rrd data withnew information"""
    ret = rrdtool.update(rrdfilename, "N:%s:%s:%s:%s" %(threads_running, threads_connected, threads_cached, slow_queries))
    print "Updating"

def databaseconnect(conf_file=""):
    """ Log conf file and connect to database"""
    if not conf_file:
    config = SafeConfigParser()
    mydb = MySQLdb.connect(
        host = config.get('database','host'),
        user = config.get('database','user'),
        passwd = config.get('database','password'),
    workingpath = config.get('files', 'rrd')
    return mydb, workingpath

if __name__ == "__main__":

Not bad for 3 hours of work!


  1. It's not bad idea to keep RRD definitions in config file - it should be quick improvement.

    Also, you can add minimal advantage: you can predict future values and show it on graph (in this case it will look like typical stock diagram

  2. I like your blog, I read this blog please update more content on python, further check it once at python online training


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