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SQL Server自動化運維系列——監控性能指標腳本(Power Shell)

2024-08-31 00:54:42
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SQL Server自動化運維系列——監控性能指標腳本(Power Shell)

需求描述

一般在生產環境中,有時候需要自動的檢測指標值狀態,如果發生異常,需要提前預警的,比如發郵件告知,本篇就介紹如果通過Power shell實現狀態值監控

監控值范圍

根據經驗,作為DBA一般需要監控如下系統能行指標

  cpu:     /PRocessor(_Total)/% Processor Time    /Processor(_Total)/% Privileged Time     /SQLServer:SQL Statistics/Batch Requests/sec    /SQLServer:SQL Statistics/SQL Compilations/sec    /SQLServer:SQL Statistics/SQL Re-Compilations/sec    /System/Processor Queue Length    /System/Context Switches/sec   Memory:     /Memory/Available Bytes    /Memory/Pages/sec    /Memory/Page Faults/sec    /Memory/Pages Input/sec    /Memory/Pages Output/sec    /Process(sqlservr)/Private Bytes    /SQLServer:Buffer Manager/Buffer cache hit ratio    /SQLServer:Buffer Manager/Page life expectancy    /SQLServer:Buffer Manager/Lazy writes/sec    /SQLServer:Memory Manager/Memory Grants Pending    /SQLServer:Memory Manager/Target Server Memory (KB)    /SQLServer:Memory Manager/Total Server Memory (KB)   Disk:     /PhysicalDisk(_Total)/% Disk Time    /PhysicalDisk(_Total)/Current Disk Queue Length    /PhysicalDisk(_Total)/Avg. Disk Queue Length    /PhysicalDisk(_Total)/Disk Transfers/sec    /PhysicalDisk(_Total)/Disk Bytes/sec    /PhysicalDisk(_Total)/Avg. Disk sec/Read    /PhysicalDisk(_Total)/Avg. Disk sec/Write   SQL Server:     /SQLServer:access Methods/FreeSpace Scans/sec    /SQLServer:Access Methods/Full Scans/sec    /SQLServer:Access Methods/Table Lock Escalations/sec    /SQLServer:Access Methods/Worktables Created/sec    /SQLServer:General Statistics/Processes blocked    /SQLServer:General Statistics/User Connections    /SQLServer:Latches/Total Latch Wait Time (ms)    /SQLServer:Locks(_Total)/Lock Timeouts (timeout > 0)/sec    /SQLServer:Locks(_Total)/Lock Wait Time (ms)    /SQLServer:Locks(_Total)/Number of Deadlocks/sec    /SQLServer:SQL Statistics/Batch Requests/sec    /SQLServer:SQL Statistics/SQL Re-Compilations/sec

上述指標含義,可以參照我上一篇文章:SQL Server需要監控哪些計數器

監控腳本

$server = "(local)"$uid = "sa"$db="master"$pwd="passWord"$mailprfname = "SendEmail"$recipients = "787449667@QQ.com"$subject = "數據庫指標異常了!"$computernamexml = "f:/computername.xml"$alter_cpuxml = "f:/alter_cpu.xml"function GetServerName($xmlpath){    $xml = [xml] (Get-Content $xmlpath)    $return = New-Object Collections.Generic.List[string]    for($i = 0;$i -lt $xml.computernames.ChildNodes.Count;$i++)    {        if ( $xml.computernames.ChildNodes.Count -eq 1)        {            $cp = [string]$xml.computernames.computername        }        else        {            $cp = [string]$xml.computernames.computername[$i]        }        $return.Add($cp.Trim())    }    $return}function GetAlterCounter($xmlpath){    $xml = [xml] (Get-Content $xmlpath)    $return = New-Object Collections.Generic.List[string]    $list = $xml.counters.Counter    $list}function CreateAlter($message){    $SqlConnection = New-Object System.Data.SqlClient.SqlConnection     $CnnString ="Server = $server; Database = $db;User Id = $uid; Password = $pwd"     $SqlConnection.ConnectionString = $CnnString     $CC = $SqlConnection.CreateCommand();     if (-not ($SqlConnection.State -like "Open")) { $SqlConnection.Open() }         $cc.CommandText=" EXEC msdb..sp_send_dbmail              @profile_name  = '$mailprfname'            ,@recipients = '$recipients'            ,@body = '$message'            ,@subject = '$subject'"     $cc.ExecuteNonQuery()|out-null     $SqlConnection.Close();}$names = GetServerName($computernamexml)$pfcounters = GetAlterCounter($alter_cpuxml)foreach($cp in $names){    $p = New-Object Collections.Generic.List[string]    $report = ""    foreach ($pfc in $pfcounters)    {        $b = ""        $counter ="http://"+$cp+$pfc.get_InnerText().Trim()        $p.Add($counter)            }    $count = Get-Counter $p    for ($i = 0; $i -lt $count.CounterSamples.Count; $i++)    {        $v = $count.CounterSamples.Get($i).CookedValue        $pfc = $pfcounters[$i]        #$pfc.get_InnerText()        $b = ""        $lg = ""        if($pfc.Operator -eq "lt")        {            if ($v -ge [double]$pfc.alter)                {$b = "alter"                $lg = "Greater Than"}        }        elseif ($pfc.operator -eq "gt")        {            if( $v -le [double]$pfc.alter)                {$b = "alter"                $lg = "Less Than"}        }        if($b -eq "alter")        {            $path = "http://"+$cp+$pfc.get_InnerText()                        $item = "{0}:{1};{2} Threshold:{3}" -f $path,$v.ToString(),$lg,$pfc.alter.Trim()            $report += $item + "`n"        }            }    if($report -ne "")    {        #生產警告 參數 計數器,閥值,當前值        CreateAlter $report    }}

其中涉及到2個配置文件:computernamexml,alter_cpuxml分別如下:

<computernames>        <computername>                wuxuelei-pc        </computername></computernames>
<Counters>        <Counter alter = "10" operator = "gt" >/Processor(_Total)/% Processor Time</Counter>        <Counter alter = "10" operator = "gt" >/Processor(_Total)/% Privileged Time</Counter>        <Counter alter = "10" operator = "gt" >/SQLServer:SQL Statistics/Batch Requests/sec</Counter>        <Counter alter = "10" operator = "gt" >/SQLServer:SQL Statistics/SQL Compilations/sec</Counter>        <Counter alter = "10" operator = "gt" >/SQLServer:SQL Statistics/SQL Re-Compilations/sec</Counter>        <Counter alter = "10" operator=  "lt" >/System/Processor Queue Length</Counter>        <Counter alter = "10" operator=  "lt" >/System/Context Switches/sec</Counter></Counters>

其中 alter 就是閥值,如第一條,如果 閥值 > 性能計數器值,就會發出警告。

其實這種自定義配置的方式,實現了靈活多變的自動化監控標準:

1、比如可以檢測磁盤空間大小

2、檢測運行峰值狀態

3、定時的根據歷史運行值,更改生產系統中的閥值大小,也就是所謂的運行基線

警告實現方式

1、SQL Agent配置Job方式實現

2、計劃任務

以上兩種配置方式,可以靈活掌握,操作還是蠻簡單的,如果不會,可自行google。當然,如果不想干預正常的生產系統,可以添加一個Server專門用來自動化運維檢測來用,實現遠程監控。

后續文章中會分析關于Power Shell的遠程調用,并且能實現事故當前狀態下,自動化截圖....自動Send Email......為DBA現場取證第一手材料...方便診斷問題...

效果圖如下

以上只提供實現方式,如需要內容更新,自己靈活更新。

腳本下載地址http://files.cnblogs.com/zhijianliutang/DBALter.zip


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