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mysql性能参数详解

2012-08-19 08:51 316 查看
mysql性能参数查看脚本

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author:       wangwei
# @E-mail:        wangwei03@gyyx.cn
# @Create Date:  2012-06-19
import MySQLdb
import _mysql
import re
import time
import sys
import getpass
from decimal import Decimal

port=3306
dbname="test"
times=2
slow=60
version=Decimal("5.5")

class tools(object):
@staticmethod
def println(header="",all="",current="",mark=""):
print header.ljust(42)+": "+all.ljust(30)+" "+current.ljust(30)+" "+mark
@staticmethod
def dRatio(param1,param2):
p1=param1
p2=param2
re=""
if(p1==0):
if(p2==0):
re="0:0"
else:
re="0:1"
else:
if(p2==0):
re="1:0"
else:
if(p1==p2):
re="1:1"
elif(p1>p2):
re= tools.dFormat(Decimal(p1)/Decimal(p2))+":1"
else:
re="1:"+tools.dFormat(Decimal(p2)/Decimal(p1))
return re+" "+tools.remarks([p1, p2])
@staticmethod
def remarks(params):
#print params
arr=[]
for param in params:
arr.append(tools.dFormat(param))
return "("+"/".join(arr)+")"
@staticmethod
def dFormat(val):
k=1024
m=k*k
g=k*m
t=k*g
p=k*t
dp=0
dm=""
if(val!=0):
if(val>p):
dp=p
dm="P"
elif(val>t):
dp=t
dm="T"
elif(val>g):
dp=g
dm="G"
elif(val>m):
dp=m
dm="M"
elif(val>k):
dp=k
dm="k"
else:
dp=1
return "%2.2f" % (Decimal(val)/Decimal(dp)) +dm
else:
return "%2.2f" % 0

class mysqlvariables(object):
def __init__(self,variables):
self.variables=variables

def param(self,param1):
if(self.variables.has_key(param1)):
return long(self.variables[param1])
else:
if(param1=='table_open_cache'):
return long(self.variables['table_cache'])
else:
return 0L
def dFormat(self,param1):
return tools.dFormat(self.param(param1))
def strFormat(self,param1):
if(self.variables.has_key(param1)):
return self.variables[param1]
else:
if(param1=='character_set_server'):
return 'null'
elif(param1=='table_open_cache'):
return self.variables['table_cache']
else:
return 'null'

class mysqlstatuscomputer(object):
def __init__(self,statuslist):
self.statuslist=statuslist
self.length=len(statuslist)
self.second=self.seconds()

def getval(self,param):
if(type(param)==type("")):
return self.param(param)
elif(type(param)==type([])):
return self.arange(param)
else:
return param

def param(self,param1):
if(self.length>1):
if(self.statuslist[0].has_key(param1)):
return long(self.statuslist[1][param1])-long(self.statuslist[0][param1])
else:
if(param1=='Innodb_buffer_pool_read_ahead' and version>5):
return (long(self.statuslist[1]['Innodb_buffer_pool_read_ahead_rnd'])+long(self.statuslist[1]['Innodb_buffer_pool_read_ahead_seq']))-(long(self.statuslist[0]['Innodb_buffer_pool_read_ahead_rnd'])+long(self.statuslist[0]['Innodb_buffer_pool_read_ahead_seq']))
elif(param1=='Uptime_since_flush_status'):
return long(self.statuslist[1]['Uptime'])-long(self.statuslist[0]['Uptime'])
else:
return 0L
else:
if(self.statuslist[0].has_key(param1)):
return long(self.statuslist[0][param1])
else:
if(param1=='Innodb_buffer_pool_read_ahead' and version>5):
return long(self.statuslist[0]['Innodb_buffer_pool_read_ahead_rnd'])+long(self.statuslist[0]['Innodb_buffer_pool_read_ahead_seq'])
elif(param1=='Uptime_since_flush_status'):
return long(self.statuslist[0]['Uptime'])
else:
return 0L

def seconds(self):
return self.param('Uptime_since_flush_status')
'''
param1+param2+....params
'''
def arange(self,params):
re=0
for param in params:
re+=self.getval(param)
return re
'''
param1+param2
'''
def add(self,param1,param2):
return self.getval(param1)+self.getval(param2)
'''
param1-param2
'''
def sub(self,param1,param2):
return self.getval(param1)-self.getval(param2)
'''
param1*param2
'''
def ext(self,param1,param2):
return self.getval(param1)*self.getval(param2)
'''
param1/param2
'''
def per(self,param1,param2):
a=self.getval(param1)
b=self.getval(param2)
if(b!=0):
return Decimal(a)/Decimal(b)
else:
return Decimal(0)

'''
param/seconds
'''
def ps(self,param):
val=self.getval(param)

if(self.second>0):
return Decimal(val)/Decimal(self.second)
else:
return Decimal(0)
'''
format param to P T G M K
'''
def format(self,param):
val=self.getval(param)
return tools.dFormat(val)

def strFormat(self,param):
return self.statuslist[0][param]

'''
param1:param2 (param1/param2)
'''
def ratioF(self,param1,param2):
p1=self.getval(param1)
p2=self.getval(param2)
return tools.dRatio(p1, p2)
'''
param1/param2 % (param1/param2)
'''
def perF(self,param1,param2):
return self.format(self.per(param1, param2)*100) + "% "+self.remark(param1, param2)
'''
1-(param1/param2) % (param1/param2)
'''
def dperF(self,param1,param2):
return self.format((Decimal(1)-self.per(param1, param2))*100) + "% "+self.remark(param1, param2)
'''
param1/(param1+param2) % (param1/param2)
'''
def aperF(self,param1,param2):
return self.format(self.per(param1,self.add(param1, param2))*100) + "% "+self.remark(param1, param2)
'''
param/seconds % (param/seconds)
'''
def psF(self,param):
return self.format(self.ps(param))+"/s "+self.remark(param, self.second)

'''
(param1/param2)
'''
def remark(self,param1,param2):
params=[]
params.append(param1)
params.append(param2)
return self.remarks(params)
'''
(param1/param2/.../params)
'''
def remarks(self,params):
#print params
arr=[]
for param in params:
arr.append(self.format(self.getval(param)))
return "("+"/".join(arr)+")"

class mysqlstatusmonitor(object):
def __init__(self,conn):
self.inx=times
self.conn=conn
self.statusList=[]
self.statustmpList=[]
self.totalstatus={}
self.totaltmpstatus=()
self.getstatus()

def getstatus(self):
statustmp=()
mysqlstatus={}
sql="show /*!41000 GLOBAL */ status"
cursor=self.conn.cursor()
for i in range(self.inx):
cursor.execute(sql)
statustmp=cursor.fetchall()
mysqlstatus={}
for row in statustmp:
mysqlstatus.setdefault(row[0],row[1])
self.statustmpList.append(statustmp)
self.statusList.append(mysqlstatus)
if(i<(self.inx-1)):
time.sleep(slow)
else:
self.totalstatus=mysqlstatus
self.totaltmpstatus=statustmp

def getstatusList(self):
return self.statusList

def getstatustmpList(self):
return self.statustmpList

def gettotalstatus(self):
return self.totalstatus

def gettotaltmpstatus(self):
return self.totaltmpstatus

class mysqlpulse(object):
def __init__(self,conn,monitor):
self.conn=conn
self.version=version
cursor=conn.cursor()
sql="select current_user();"
cursor.execute(sql)
self.currentuser=cursor.fetchall()
sql="show /*!41000 GLOBAL */ variables;"
cursor.execute(sql)
self.variablestmp=cursor.fetchall()
self.variables={}
for row in self.variablestmp:
self.variables.setdefault(row[0],row[1])
#
self.statusList=monitor.getstatusList()
self.statustmpList=monitor.getstatustmpList()
self.statustmp=monitor.gettotaltmpstatus()
self.mysqlstatus=monitor.gettotalstatus()

self.totalcomputer=mysqlstatuscomputer([self.mysqlstatus])
self.computer=mysqlstatuscomputer(self.statusList)
self.mysqlvariables=mysqlvariables(self.variables)
#
#sql="SHOW /*!41000 ENGINE */ INNODB STATUS;"
#cursor.execute(sql)
#self.innodbstatus=cursor.fetchall()

#ver=""
#match=re.compile(r'^([\d]+\.[\d]+)').match(set[0][0])
#if match:
#    ver=match.group(1)

#del set
sql="show databases"
cursor.execute(sql)
self.tables=[]
self.databases=cursor.fetchall()
for tmpdatabase in self.databases:
if(str(tmpdatabase[0])!="information_schema" and str(tmpdatabase[0])!="mysql" and str(tmpdatabase[0])!="performance_schema"):
sql="show table status from `"+str(tmpdatabase[0])+"`"
cursor.execute(sql)
tmptables=cursor.fetchall()
for tmptable in tmptables:
tableinfo=[]
tableinfo.append(tmpdatabase[0])
tableinfoindex=len(tmptable)
for idx in range(tableinfoindex):
tableinfo.append(tmptable[idx])
self.tables.append(tableinfo)

#
sql="SHOW PROCESSLIST;"
cursor.execute(sql)
self.processlist=cursor.fetchall()

def abs(self,left,right):
return cmp(left[8],right[8])

def desc(self,left,right):
return cmp(right[8],left[8])

def printstatus(self):
print "============MySQL status============"
print "get status times="+str(len(self.statustmpList))
for row in self.statustmp:
print row[0]+"\t:"+row[1]

def printinnodbstatus(self):
print self.innodbstatus[0][2]

def printtablestatus(self):
print "------------------------------------"
print "table status"
print "------------------------------------"
print "db\t\tName\t\tEngine\t\tVersion\t\tRow_format\t\tRows\t\tAvg_row_length\t\tData_length\t\tMax_data_length\t\tIndex_lengtht\t\tData_free\t\tAuto_increment\t\tCreate_time\t\tUpdate_time\t\tCheck_time\t\tCollation\t\tChecksum\t\tCreate_options\t\tComment"
self.tables.sort(cmp=self.desc)
for row in self.tables:
tableinfolen=len(row)
tableinfo=""
for idx in range(tableinfolen):
tableinfo+=str(row[idx])+"\t\t"
print tableinfo

def printprocesslist(self):
print "============processlist============="
print "processlist rowcount ="+str(len(self.processlist))+"\nstatus time>0 threads list:"
print "Id\tUser\t\tHost\t\t\tdb\t\tCommand\t\tTime\t\tState\tInfo\t"
threadscount=0
for row in self.processlist:
if(str(row[4])!="Sleep" and long(row[5])>1):
print str(row[0])+"\t"+str(row[1])+"\t\t"+str(row[2])+"\t"+str(row[3])+"\t\t"+str(row[4])+"\t\t"+str(row[5])+"\t\t"+str(row[6])+"\t"+str(row[7])
threadscount+=1

print "status time>0 threads count="+str(threadscount)

def printmysqlinfo(self):
print "=============MySQL info============="
print "Connection id        : "+str(self.conn.thread_id())
print "Current database     : "+dbname
print "Current user         : "+str(self.currentuser[0][0])
print "SSL                  : "+self.mysqlvariables.strFormat('have_openssl')
#print "Current pager        : "
#print "Using outfile        : "
#print "Using delimiter      : "
self.version=Decimal(self.mysqlvariables.strFormat('version')[0:3])
print "MySQL VERSION        : "+self.mysqlvariables.strFormat('version')+" "+self.mysqlvariables.strFormat('version_comment')
print "MySQL client info    : "+_mysql.get_client_info()
print "Protocol version     : "+str(self.conn.get_proto_info())
print "Connection           : "+self.conn.get_host_info()
print "Server characterset  : "+self.mysqlvariables.strFormat('character_set_server')
print "Db     characterset  : "+self.mysqlvariables.strFormat('character_set_database')
print "Client characterset  : "+self.mysqlvariables.strFormat('character_set_client')
print "Conn.  characterset  : "+self.mysqlvariables.strFormat('character_set_connection')
print "collation_connection : "+self.mysqlvariables.strFormat('collation_connection')
print "collation_database   : "+self.mysqlvariables.strFormat('collation_database')
print "collation_server     : "+self.mysqlvariables.strFormat('collation_server')
print "Uptime               : "+self.mysqlstatus['Uptime']+"s"

def printQcachestatus(self):
if(self.mysqlvariables.strFormat("have_query_cache")=="YES" and self.mysqlvariables.strFormat("query_cache_type")!="OFF" and self.mysqlvariables.param("query_cache_size")>0):
print "------------------------------------"
print "Qcache Status"
print "------------------------------------"
tools.println("Qcache queries hits ratio(hits/reads)",self.totalcomputer.perF("Qcache_hits", ["Com_select", "Qcache_hits"]),self.computer.perF("Qcache_hits", ["Com_select", "Qcache_hits"]),"Higher than 30.00")
tools.println("Qcache hits inserts ratio(hits/inserts)",self.totalcomputer.perF("Qcache_hits", "Qcache_inserts"),self.computer.perF("Qcache_hits", "Qcache_inserts"),"Higher than 300.00")
tools.println("Qcache memory used ratio(free/total)",self.totalcomputer.dperF("Qcache_free_memory",self.mysqlvariables.param("query_cache_size")))
tools.println("Qcache prune ratio(prunes/inserts)",self.totalcomputer.perF("Qcache_lowmem_prunes", "Qcache_inserts"),self.computer.perF("Qcache_lowmem_prunes", "Qcache_inserts"))
tools.println("Qcache block Fragmnt ratio(free/total)",self.totalcomputer.perF("Qcache_free_blocks", "Qcache_total_blocks"))

def printUptimesinceflushstatus(self):
print "-----------------------------------------------------------------------------------------------------------------------------"
print "Reads/Writes status                            total                        current                        proposal          "
print "-----------------------------------------------------------------------------------------------------------------------------"
tools.println("Reads:Writes ratio(Reads/Writes)",self.totalcomputer.ratioF(["Com_select", "Qcache_hits"], ["Com_insert","Com_insert_select","Com_update","Com_update_multi","Com_delete","Com_delete_multi","Com_replace","Com_replace_select"]),self.computer.ratioF(["Com_select", "Qcache_hits"], ["Com_insert","Com_insert_select","Com_update","Com_update_multi","Com_delete","Com_delete_multi","Com_replace","Com_replace_select"]))
tools.println("QPS(Questions/Uptime)",self.totalcomputer.psF("Questions"),self.computer.psF("Questions"))
tools.println("TPS(Questions/Uptime)",self.totalcomputer.psF(["Com_commit","Com_rollback"]),self.computer.psF(["Com_commit","Com_rollback"]))
tools.println("Table locks waited ratio(waited/immediate)",self.totalcomputer.ratioF("Table_locks_waited","Table_locks_immediate"),self.computer.ratioF("Table_locks_waited","Table_locks_immediate"),"0:1")
tools.println("select per second(select/Uptime)",self.totalcomputer.psF(["Com_select","Qcache_hits"]),self.computer.psF(["Com_select","Qcache_hits"]))
tools.println("insert per second(insert/Uptime)",self.totalcomputer.psF(["Com_insert","Com_insert_select"]),self.computer.psF(["Com_insert","Com_insert_select"]))
tools.println("update per second(update/Uptime)",self.totalcomputer.psF(["Com_update","Com_update_multi"]),self.computer.psF(["Com_update","Com_update_multi"]))
tools.println("delete per second(delete/Uptime)",self.totalcomputer.psF(["Com_delete","Com_delete_multi"]),self.computer.psF(["Com_delete","Com_delete_multi"]))
tools.println("replace per second(replace/Uptime)",self.totalcomputer.psF(["Com_replace","Com_replace_select"]),self.computer.psF(["Com_replace","Com_replace_select"]))
tools.println("Bytes sent per second(sent/Uptime)",self.totalcomputer.psF("Bytes_sent"),self.computer.psF("Bytes_sent"))
tools.println("Bytes received per second(re/Uptime)",self.totalcomputer.psF("Bytes_received"),self.computer.psF("Bytes_received"))
print "------------------------------------"
print "Slow and Sort queries status"
print "------------------------------------"
tools.println("Slow queries Ratio(Slow/Questions)",self.totalcomputer.perF("Slow_queries", "Questions"),self.computer.perF("Slow_queries", "Questions"),"Lower than 0")
tools.println("Slow queries PS(Slow/Uptime)",self.totalcomputer.psF("Slow_queries"),self.computer.psF("Slow_queries"),"Lower than 0")
tools.println("Full join PS(full/Uptime)",self.totalcomputer.psF("Select_full_join"),self.computer.psF("Select_full_join"),"Lower than 0")
tools.println("Sort merge passes PS(merge/Uptime)",self.totalcomputer.psF("Sort_merge_passes"),self.computer.psF("Sort_merge_passes"),"Lower than 0")
tools.println("Sort range PS(range/Uptime)",self.totalcomputer.psF("Sort_range"),self.computer.psF("Sort_range"),"Lower than 0")
tools.println("Sort rows PS(rows/Uptime)",self.totalcomputer.psF("Sort_rows"),self.computer.psF("Sort_rows"),"Lower than 0")
tools.println("Sort scan PS(scan/Uptime)",self.totalcomputer.psF("Sort_scan"),self.computer.psF("Sort_scan"),"Lower than 0")
print "------------------------------------"
print "connections status"
print "------------------------------------"
tools.println("Thread cache hits(created/Total)",self.totalcomputer.dperF("Threads_created", "Connections"),self.computer.dperF("Threads_created", "Connections"),"Higher than 0")
tools.println("Connections used ratio(Max used/Max)",self.totalcomputer.perF("Max_used_connections",self.mysqlvariables.param("max_connections")),self.computer.perF("Max_used_connections",self.mysqlvariables.param("max_connections")),"Lower than 90")
tools.println("Aborted connects ratio(Aborted/Max)",self.totalcomputer.perF(["Aborted_clients","Aborted_connects"],self.mysqlvariables.param("max_connections")),self.computer.perF(["Aborted_clients","Aborted_connects"],self.mysqlvariables.param("max_connections")),"Lower than 0")
tools.println("Threads running",self.totalcomputer.format("Threads_running"))
print "------------------------------------"
print "temp table and Open tables/files status"
print "------------------------------------"
tools.println("Temp tables to Disk ratio(disk/tmp)",self.totalcomputer.perF("Created_tmp_disk_tables", "Created_tmp_tables"),self.computer.perF("Created_tmp_disk_tables", "Created_tmp_tables"),"Lower than 0")
tools.println("Open tables/table open cache/Opened tables",self.totalcomputer.remarks(["Open_tables",self.mysqlvariables.param("table_open_cache"),"Opened_tables"]),self.computer.remarks(["Open_tables",self.mysqlvariables.param("table_open_cache"),"Opened_tables"]),"1:1:1")
tools.println("Opened files PS(Opened/Uptime)",self.totalcomputer.psF("Opened_files"),self.computer.psF("Opened_files"),"Lower than 0")

def printInnoDBStatus(self):
print "------------------------------------"
print "InnoDB Status"
print "------------------------------------"
tools.println( "Innodb buffer read hits(Disk/total)",self.totalcomputer.dperF(["Innodb_buffer_pool_reads","Innodb_buffer_pool_read_ahead"], "Innodb_buffer_pool_read_requests"),self.computer.dperF(["Innodb_buffer_pool_reads","Innodb_buffer_pool_read_ahead"], "Innodb_buffer_pool_read_requests"),"Higher than 99.99")
tools.println( "Innodb dblwr pages written:dblwr writes",self.totalcomputer.ratioF("Innodb_dblwr_pages_written", "Innodb_dblwr_writes"),"","Lower than 64:1")
tools.println( "Innodb buffer pages used ratio(free/total)",self.totalcomputer.dperF("Innodb_buffer_pool_pages_free", "Innodb_buffer_pool_pages_total"),"","Lower than 99.99")
tools.println( "Innodb buffer pages dirty ratio(dirty)",self.totalcomputer.perF("Innodb_buffer_pool_pages_dirty", "Innodb_buffer_pool_pages_total"))
tools.println( "Innodb buffer pages flushed PS(flushed)",self.totalcomputer.psF("Innodb_buffer_pool_pages_flushed"),self.computer.psF("Innodb_buffer_pool_pages_flushed"))
tools.println( "Innodb buffer pool pages misc",self.totalcomputer.format("Innodb_buffer_pool_pages_misc"))

tools.println( "Innodb row lock waits PS(waits/Uptime)",self.totalcomputer.psF("Innodb_row_lock_current_waits"),self.computer.psF("Innodb_row_lock_current_waits"))
tools.println( "Innodb row lock current waits",self.totalcomputer.format("Innodb_row_lock_current_waits"),self.computer.format("Innodb_row_lock_current_waits"))
tools.println( "Innodb row lock time avg",self.totalcomputer.format("Innodb_row_lock_time_avg"),self.computer.format("Innodb_row_lock_time_avg"))
tools.println( "Innodb row lock time max",self.totalcomputer.format("Innodb_row_lock_time_max"),self.computer.format("Innodb_row_lock_time_max"))
tools.println( "Innodb row lock time total",self.totalcomputer.format("Innodb_row_lock_time"),self.computer.format("Innodb_row_lock_time"))

tools.println( "Innodb rows read PS(read/Uptime)",self.totalcomputer.psF("Innodb_rows_read"),self.computer.psF("Innodb_rows_read"))
tools.println( "Innodb rows inserted PS(inserted/Uptime)",self.totalcomputer.psF("Innodb_rows_inserted"),self.computer.psF("Innodb_rows_inserted"))
tools.println( "Innodb rows updated PS(updated/Uptime)",self.totalcomputer.psF("Innodb_rows_updated"),self.computer.psF("Innodb_rows_updated"))

tools.println( "Innodb data reads PS(reads/Uptime)",self.totalcomputer.psF("Innodb_data_reads"),self.computer.psF("Innodb_data_reads"))
tools.println( "Innodb data writes PS(writes/Uptime)",self.totalcomputer.psF("Innodb_data_writes"),self.computer.psF("Innodb_data_writes"))
tools.println( "Innodb data fsyncs PS(fsyncs/Uptime)",self.totalcomputer.psF("Innodb_data_fsyncs"),self.computer.psF("Innodb_data_fsyncs"))

tools.println( "Innodb data pending reads PS(reads/Uptime)",self.totalcomputer.psF("Innodb_data_pending_reads"),self.computer.psF("Innodb_data_pending_reads"))
tools.println( "Innodb data pending writes PS(write/Uptime)",self.totalcomputer.psF("Innodb_data_pending_writes"),self.computer.psF("Innodb_data_pending_writes"))
tools.println( "Innodb data pending fsyncs PS(fsync/Uptime)",self.totalcomputer.psF("Innodb_data_pending_fsyncs"),self.computer.psF("Innodb_data_pending_fsyncs"))

def printkeystatus(self):
print "------------------------------------"
print "key buffer Status"
print "------------------------------------"
tools.println( "key buffer used ratio(used/size)",self.totalcomputer.perF(self.totalcomputer.ext("Key_blocks_used",self.mysqlvariables.param("key_cache_block_size")), self.mysqlvariables.param("key_buffer_size")),"","Lower than 99.99")
tools.println( "key buffer read hit ratio(reads/request)",self.totalcomputer.dperF("Key_reads", "Key_read_requests"),self.computer.dperF("Key_reads", "Key_read_requests"),"Higher than 99.99")
tools.println( "key buffer write hit ratio(writes/request)",self.totalcomputer.dperF("Key_writes", "Key_write_requests"),self.computer.dperF("Key_writes", "Key_write_requests"),"Higher than 99.99")

def printslavestatus(self):
print "------------------------------------"
print "Slave Status"
print "------------------------------------"
tools.println( "Slave running status",self.totalcomputer.strFormat("Slave_running"),self.computer.strFormat("Slave_running"))
tools.println( "Slave open temp tables",self.totalcomputer.format("Slave_open_temp_tables"),self.computer.format("Slave_open_temp_tables"))
tools.println( "Slave transactions PS(transactions/Uptime)",self.totalcomputer.psF("Slave_retried_transactions"),self.computer.psF("Slave_retried_transactions"))
tools.println( "Slave received PS(heartbeats/Uptime)",self.totalcomputer.psF("Slave_received_heartbeats"),self.computer.psF("Slave_received_heartbeats"))

def printflushstatus(self):
print "=========MySQL status pulse========="
self.printUptimesinceflushstatus()
if(self.version> Decimal("5")):
self.printInnoDBStatus()
self.printkeystatus()
self.printQcachestatus()
self.printslavestatus()
#self.printtablestatus()

class mysqlmonitor(object):
def __init__(self,dbs):
self.conn=MySQLdb.connect(host=dbs['host'],port=dbs['port'],user=dbs['user'],passwd=dbs['passwd'],db=dbs['db'])
self.monitor=mysqlstatusmonitor(self.conn)
self.pulse=mysqlpulse(self.conn,self.monitor)

def du(self):
self.pulse.printmysqlinfo()
self.pulse.printprocesslist()
self.pulse.printflushstatus()
#printstatus(statustmp, statustmpList)
#printinnodbstatus(innodbstatus)

def __del__( self ):
self.conn.close()

if __name__ == '__main__':
host = raw_input("Host[localhost]:")
if not host.strip():host = "localhost"
user = raw_input("User[root]:")
if not user.strip():user = "root"
pwd = getpass.getpass("Password %s@%s:" % (user,host))
dbname = raw_input("database[mysql]:")
if not dbname.strip():dbname = "mysql"
dbs={'host':host,'port':port,'user':user,'passwd':pwd,'db':dbname}
monitor=mysqlmonitor(dbs)
monitor.du()

转载自http://www.linuxidc.com/Linux/2012-08/67832.htm

MySQL的优化我分为两个部分,一是服务器物理硬件的优化,二是MySQL自身(my.cnf)的优化。

一、服务器硬件对MySQL性能的影响

①磁盘寻道能力(磁盘I/O),以目前高转速SCSI硬盘(7200转/秒)为例,这种硬盘理论上每秒寻道7200次,这是物理特性决定的,没有办法改变。MySQL每秒钟都在进行大量、复杂的查询操作,对磁盘的读写量可想而知。所以,通常认为磁盘I/O是制约MySQL性能的最大因素之一,对于日均访问量在100万PV以上的Discuz!论坛,由于磁盘I/O的制约,MySQL的性能会非常低下!解决这一制约因素可以考虑以下几种解决方案: 使用RAID-0+1磁盘阵列,注意不要尝试使用RAID-5,MySQL在RAID-5磁盘阵列上的效率不会像你期待的那样快。

②CPU 对于MySQL应用,推荐使用S.M.P.架构的多路对称CPU,例如:可以使用两颗Intel Xeon 3.6GHz的CPU,现在我较推荐用4U的服务器来专门做数据库服务器,不仅仅是针对于mysql。

③物理内存对于一台使用MySQL的Database Server来说,服务器内存建议不要小于2GB,推荐使用4GB以上的物理内存,不过内存对于现在的服务器而言可以说是一个可以忽略的问题,工作中遇到了高端服务器基本上内存都超过了16G。

二、MySQL自身因素当解决了上述服务器硬件制约因素后,让我们看看MySQL自身的优化是如何操作的。对MySQL自身的优化主要是对其配置文件my.cnf中的各项参数进行优化调整。下面我们介绍一些对性能影响较大的参数。 由于my.cnf文件的优化设置是与服务器硬件配置息息相关的,因而我们指定一个假想的服务器硬件环境:CPU: 2颗Intel Xeon 2.4GHz 内存: 4GB DDR 硬盘: SCSI 73GB(很常见的2U服务器)。

下面,我们根据以上硬件配置结合一份已经优化好的my.cnf进行说明:

#vim /etc/my.cnf以下只列出my.cnf文件中[mysqld]段落中的内容,其他段落内容对MySQL运行性能影响甚微,因而姑且忽略。

[mysqld]

port = 3306

serverid = 1

socket = /tmp/mysql.sock

skip-locking

#避免MySQL的外部锁定,减少出错几率增强稳定性。

skip-name-resolve

#禁止MySQL对外部连接进行DNS解析,使用这一选项可以消除MySQL进行DNS解析的时间。但需要注意,如果开启该选项,则所有远程主机连接授权都要使用IP地址方式,否则MySQL将无法正常处理连接请求!

back_log = 384

#back_log参数的值指出在MySQL暂时停止响应新请求之前的短时间内多少个请求可以被存在堆栈中。 如果系统在一个短时间内有很多连接,则需要增大该参数的值,该参数值指定到来的TCP/IP连接的侦听队列的大小。不同的操作系统在这个队列大小上有它自己的限制。 试图设定back_log高于你的操作系统的限制将是无效的。默认值为50。对于Linux系统推荐设置为小于512的整数。

key_buffer_size = 256M

#key_buffer_size指定用于索引的缓冲区大小,增加它可得到更好的索引处理性能。对于内存在4GB左右的服务器该参数可设置为256M或384M。注意:该参数值设置的过大反而会是服务器整体效率降低!

max_allowed_packet = 4M

thread_stack = 256K

table_cache = 128K

sort_buffer_size = 6M

#查询排序时所能使用的缓冲区大小。注意:该参数对应的分配内存是每连接独占,如果有100个连接,那么实际分配的总共排序缓冲区大小为100 × 6 = 600MB。所以,对于内存在4GB左右的服务器推荐设置为6-8M。

read_buffer_size = 4M

#读查询操作所能使用的缓冲区大小。和sort_buffer_size一样,该参数对应的分配内存也是每连接独享。

join_buffer_size = 8M

#联合查询操作所能使用的缓冲区大小,和sort_buffer_size一样,该参数对应的分配内存也是每连接独享。

myisam_sort_buffer_size = 64M

table_cache = 512

thread_cache_size = 64

query_cache_size = 64M

#指定MySQL查询缓冲区的大小。可以通过在MySQL控制台观察,如果Qcache_lowmem_prunes的值非常大,则表明经常出现缓冲不够的情况;如果Qcache_hits的值非常大,则表明查询缓冲使用非常频繁,如果该值较小反而会影响效率,那么可以考虑不用查询缓冲;Qcache_free_blocks,如果该值非常大,则表明缓冲区中碎片很多。

tmp_table_size = 256M

max_connections = 768

#指定MySQL允许的最大连接进程数。如果在访问论坛时经常出现Too Many Connections的错误提 示,则需要增大该参数值。

max_connect_errors = 10000000

wait_timeout = 10

#指定一个请求的最大连接时间,对于4GB左右内存的服务器可以设置为5-10。

thread_concurrency = 8

#该参数取值为服务器逻辑CPU数量*2,在本例中,服务器有2颗物理CPU,而每颗物理CPU又支持H.T超线程,所以实际取值为4*2=8

skip-networking

#开启该选项可以彻底关闭MySQL的TCP/IP连接方式,如果WEB服务器是以远程连接的方式访问MySQL数据库服务器则不要开启该选项!否则将无法正常连接!

table_cache=1024

#物理内存越大,设置就越大.默认为2402,调到512-1024最佳

innodb_additional_mem_pool_size=4M

#默认为2M

innodb_flush_log_at_trx_commit=1

#设置为0就是等到innodb_log_buffer_size列队满后再统一储存,默认为1

innodb_log_buffer_size=2M

#默认为1M

innodb_thread_concurrency=8

#你的服务器CPU有几个就设置为几,建议用默认一般为8

key_buffer_size=256M

#默认为218,调到128最佳

tmp_table_size=64M

#默认为16M,调到64-256最挂

read_buffer_size=4M

#默认为64K

read_rnd_buffer_size=16M

#默认为256K

sort_buffer_size=32M

#默认为256K

thread_cache_size=120

#默认为60

query_cache_size=32M

※值得注意的是:

很多情况需要具体情况具体分析

一、如果Key_reads太大,则应该把my.cnf中Key_buffer_size变大,保持Key_reads/Key_read_requests至少1/100以上,越小越好。

二、如果Qcache_lowmem_prunes很大,就要增加Query_cache_size的

转载自/article/1672590.html

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