@^^: Windows Server

[사용예]

Logparser “

select date, time, c-ip, cs-method, cs-uri-stem, cs-uri-query, sc-status // 추출할 항목

into c:\aaa.csv // 결과 저장 파일

From c:\winnt\system32\logfiles\W3SVC1\*.* // 입력 로그 파일

where sc-status=500" // 검색 조건

-i:IISW3C // 입력파일 형식

-o:CSV // 출력파일 형식

(1)응답코드 500번을 분석한다. where sc-status=50

C:\>logparser "select date, time, c-ip, cs-method, cs-uri-stem,

cs-uri-query,sc-status into c:\log.txt from d:\ex050101.log

where sc-status=500" -i:w3c -o:csv

(2) 페이지 분석

where cs-uri-stem like ‘%bwrite.asp%’

C:\>logparser "select date, time, c-ip, cs-method, cs-uri-stem,

cs-uri-query,sc-status into c:\log.txt from d:\ex050101.log

where cs-uri-stem like ‘%bwrite.asp%’ " -i:w3c -o:csv

(3) 파라미터 분석

where cs-uri-query like ‘%key%’

C:\>logparser "select date, time, c-ip, cs-method, cs-uri-stem,

cs-uri-query,sc-status into c:\log.txt from d:\ex050101.log

Where cs-uri-query like ‘%key%’” -i:w3c -o:csv

(4) LogParser 로 대량 SQL injection 악성코드 로그 추출하는 명령어

LogParser -i:iisw3c -o:csv "SELECT * INTO out.csv FROM ex*.log WHERE cs-uri-query LIKE '%CAST(%'"

1. board_write_reg.asp 요청이 정상적으로 처리된 기록 검색

날자,시간,method,URL

logparser "select date,time,cs-method,cs-uri-stem,sc-status into log2.csv from *.log where sc-status = 200 and cs-uri-stem like '%board_write_reg.asp%'" -i:W3C -o:CSV

2. query 파라메터의 id 값을 가지고 있는 요청 URL 정보 검색

날자, 시간, method, URL, query string

logparser "select date,time,cs-method,cs-uri-stem,cs-uri-query,sc-status into log3.csv from *.log where cs-uri-query like '%id%'" -i:W3C -o:CSV

# 시간대별 오류현황

LogParser "SELECT date, QUANTIZE(time, 3600) AS Hour, sc-status AS Status, COUNT(*) AS Errors FROM D:\project\서울시청\윤커뮤니케이션\greenpns\LogFiles\201310\all.log WHERE (sc-status >= 400) GROUP BY date, hour, sc-status HAVING (Errors > 25) ORDER BY Errors DESC"

select * from D:\project\서울시청\윤커뮤니케이션\greenpns\LogFiles\201310\all.log

SELECT date, QUANTIZE(time, 3600) AS Hour,

sc-status AS Status, COUNT(*) AS Errors

FROM D:\project\서울시청\윤커뮤니케이션\greenpns\LogFiles\201310\all.log

WHERE (sc-status >= 400)

GROUP BY date, hour, sc-status

HAVING (Errors > 25)

ORDER BY Errors DESC

SELECT cs-uri-stem AS Url, cs-method AS Method,

Count(*) AS Total

FROM D:\project\서울시청\윤커뮤니케이션\greenpns\LogFiles\201310\ex131001.log

WHERE (sc-status < 400 or sc-status >= 500)

GROUP BY Url, Method

ORDER BY Url, Method

SELECT cs-uri-stem AS Url, sc-status AS Status, COUNT(*) AS Errors

FROM D:\project\서울시청\윤커뮤니케이션\greenpns\LogFiles\201310\all.log

WHERE (sc-status >= 400)

GROUP BY Url, Status

ORDER BY Errors DESC

LogParser "SELECT date, QUANTIZE(time, 3600) AS Hour,

sc-status AS Status, COUNT(*) AS Errors

FROM D:\project\서울시청\윤커뮤니케이션\greenpns\LogFiles\201310\all.log

WHERE (sc-status >= 400)

GROUP BY date, hour, sc-status

HAVING (Errors > 25)

ORDER BY Errors DESC"

LogParser "SELECT date, QUANTIZE(time, 3600) AS Hour, sc-status AS Status, COUNT(*) AS Errors FROM D:\project\서울시청\윤커뮤니케이션\greenpns\LogFiles\201310\all.log WHERE (sc-status >= 400) GROUP BY date, hour, sc-status HAVING (Errors > 25) ORDER BY Errors DESC"

Examples 50

Keep in mind that most of the examples that I give here are all-in-one command line queries (even though many wrap to multiple lines when displayed here). However, queries can also be run as

logparser file:XXXXX.sql

where XXXXX is the name of a file containing a logparser-friendly sql query. There are a couple examples of this in the following list.

The examples given here have been obtained from a variety of sources, including the documentation that ships with the tool, blogs and online documentation, and my own experience. Unfortunately, I don’t have a record of the origin of each individual example, as I’ve compiled these piecemeal over the last two or three years.

I hope you’ll find something useful here and gain an appreciation for just how robust this tool is.

1) All pages hits by a given IP address

logparser "select cs-uri-stem, count(cs-uri-stem) as requestcount from [LogFileName] where c-ip = ’000.00.00.000′ group by cs-uri-stem order by count(cs-uri-stem) desc"

2) Hits on a particular page by IP address

logparser "select c-ip, count(c-ip) as requestcount from [LogFileName] where cs-uri-stem like ‘/search.aspx%’ group by c-ip order by count(c-ip) desc"

3) ReverseDNS example. This attempts to find the domain associated with a given IP address.

logparser "select c-ip, REVERSEDNS(c-ip) from [LogFileName] where c-ip = ’000.00.00.000′ group by c-ip"

4) CSV example. All hits on a page, written to a CVS file.

logparser "select * into OUTPUT.CSV from [LogFileName] where cs-uri-stem like ‘/pagename.aspx’"

5) Chart example. All hits on a page by an IP address, displayed on a chart.

logparser "select c-ip, count(c-ip) as requestcount into logparserchart.gif from [LogFileName] where cs-uri-stem like ‘/pagename.aspx’ group by c-ip order by count(c-ip) desc" -o:chart

6) Hits per hour from a particular IP address

logparser "select TO_LOCALTIME(QUANTIZE(TO_TIMESTAMP(date, time), 3600)), count(*) as numberrequests from [LogFileName] where c-ip=’000.000.00.000′ group by TO_LOCALTIME(QUANTIZE(TO_TIMESTAMP(date,time), 3600))"

7) Basic list of IP addresses generating traffic

logparser "select c-ip, count(c-ip) as requestcount from [LogFileName] group by c-ip order by count(c-ip) desc"

8) Basic list of pages being hit

logparser "select cs-uri-stem, count(cs-uri-stem) from [LogFileName] where cs-uri-stem like ‘%aspx%’ or cs-uri-stem like ‘%ashx%’ group by cs-uri-stem order by count(cs-uri-stem) desc"

9) Basic list of pages being hit, including which IPs are doing the hitting

logparser "select cs-uri-stem, c-ip, count(cs-uri-stem) from [LogFileName] where cs-uri-stem like ‘%aspx%’ or cs-uri-stem like ‘%ashx%’ group by cs-uri-stem, c-ip order by count(cs-uri-stem) desc"

10) Pages being hit after a specific date and time

logparser "select cs-uri-stem, c-ip, count(cs-uri-stem) from [LogFileName] where cs-uri-stem like ‘%aspx%’ or cs-uri-stem like ‘%ashx%’ and date=’2009-06-04′ and time > ’15:00:00′ group by cs-uri-stem, c-ip order by count(cs-uri-stem) desc"

11) Counts of hits of ASPX/ASHX pages by hour from a particular IP address

logparser "select TO_LOCALTIME(QUANTIZE(TO_TIMESTAMP(date, time), 3600)), count(*) as numberrequests from [LogFileName] where c-ip=’000.000.00.00′ and (cs-uri-stem like ‘%aspx%’ or cs-uri-stem like ‘%ashx%’) group by TO_LOCALTIME(QUANTIZE(TO_TIMESTAMP(date,time), 3600))"

12) Counts of hits against specific pages by hour from a particular IP address

logparser "select TO_LOCALTIME(QUANTIZE(TO_TIMESTAMP(date, time), 3600)), cs-uri-stem, count(*) as numberrequests from [LogFileName] where c-ip=’000.000.00.00′ and (cs-uri-stem like ‘%aspx%’ or cs-uri-stem like ‘%ashx%’) group by TO_LOCALTIME(QUANTIZE(TO_TIMESTAMP(date,time), 3600)), cs-uri-stem order by numberrequests desc"

13) Top browsers

logparser "Select top 50 to_int(mul(100.0,PropCount(*))) as Percent, count(*) as TotalHits, cs(User-Agent) as Browser from [LogFileName] group by Browser order by Totalhits desc"

14) Hourly Bandwidth (chart)

logparser "Select TO_LOCALTIME(QUANTIZE(TO_TIMESTAMP(date, time), 3600)) As Hour, Div(Sum(cs-bytes),1024) As Incoming(K), Div(Sum(sc-bytes),1024) As Outgoing(K) Into BandwidthByHour.gif From [LogFileName] Group By Hour"

15) Requests by URI

logparser "SELECT top 80 QUANTIZE(TO_TIMESTAMP(date, time), 3600) as Hour, TO_LOWERCASE(STRCAT(‘/’,EXTRACT_TOKEN(cs-uri-stem,1,’/'))) as URI, COUNT(*) AS RequestsPerHour, SUM(sc-bytes) AS TotBytesSent, AVG(sc-bytes) AS AvgBytesSent, Max(sc-bytes) AS MaxBytesSent, ADD(1,DIV(Avg(time-taken),1000)) AS AvgTime, ADD(1,DIV(MAX(time-taken),1000)) AS MaxTime FROM [LogFileName] GROUP BY Hour, URI Having RequestsPerHour > 10 ORDER BY RequestsPerHour ASC"

16) Top 10 Images by size

logparser "Select Top 10 StrCat(Extract_Path(TO_Lowercase(cs-uri-stem)),’/') AS RequestedPath, Extract_filename(To_Lowercase(cs-uri-stem)) As RequestedFile, Count(*) AS Hits, Max(time-taken) As MaxTime, Avg(time-taken) As AvgTime, Max(sc-bytes) As BytesSent From [LogFileName] Where (Extract_Extension(To_Lowercase(cs-uri-stem)) IN (‘gif’;'jpg’;'png’)) AND (sc-status = 200) Group By To_Lowercase(cs-uri-stem) Order By BytesSent, Hits, MaxTime DESC"

17) Top 10 URLs for a website, with total hits, max time to serve, and average time to serve

logparser "Select TOP 10 STRCAT(EXTRACT_PATH(cs-uri-stem),’/') AS RequestPath, EXTRACT_FILENAME(cs-uri-stem) AS RequestedFile, COUNT(*) AS TotalHits, Max(time-taken) AS MaxTime, AVG(time-taken) AS AvgTime, AVG(sc-bytes) AS AvgBytesSent FROM [LogFileName] GROUP BY cs-uri-stem ORDER BY TotalHits DESC"

18) Top 20 clients

logparser "Select Top 20 c-ip AS Client, Count(*) AS Hits INTO Chart.gif FROM [LogFileName] GROUP BY c-ip ORDER BY Hits Desc"

19) Referrer Broken Links (i.e. external references to broken links on your site)

logparser "SELECT DISTINCT cs(Referer) as Referer, cs-uri-stem as Url INTO ReferBrokenLinks.html FROM [LogFileName] WHERE cs(Referer) IS NOT NULL AND sc-status = 404 AND (sc-substatus IS NULL OR sc-substatus=0)" -tpl:ReferBrokenLinks.tpl

20) Status codes

logparser "SELECT sc-status As Status, COUNT(*) As Number INTO StatusCodes.gif FROM <2> GROUP BY Status ORDER BY Status"

21) Search the Event Log for W3SVC (IIS) log entries and color-coordinate as to Error, Warning, Information. This example writes the output of the query to an HTML file that is generated using a template file.

logparser "SELECT TimeGenerated,EventTypeName,Strings,Message,CASE EventTypeName WHEN ‘Error event’ THEN ‘RED’ WHEN ‘Warning event’ THEN ‘YELLOW’ WHEN ‘Information event’ THEN ‘WHITE’ ELSE ‘BLUE’ END As Color INTO file.html FROM System WHERE SourceName = ‘W3SVC’" -tpl:IISEventLogEntries.tpl

Where IISEventLogEntries.tpl is a file that contains the following:

<LPHEADER>
<HTML>
<HEAD>
<STYLE>
TD { font-family: Arial };
TH { font-family: Arial };
</STYLE> </HEAD> <BODY> <TABLE BORDERCOLOR="BLACK" BORDER="1" CELLPADDING="2" CELLSPACING="2">
<TR>
<TH COLSPAN=4 BGCOLOR="BLACK"><FONT COLOR=WHITE>New W3SVC Messages in System Event Log</FONT></TH>
</TR>
<TR>
<TH ALIGN=LEFT BGCOLOR="#C0C0C0">Time Generated</TH>
<TH ALIGN=LEFT BGCOLOR="#C0C0C0">Event Type</TH>
<TH ALIGN=LEFT BGCOLOR="#C0C0C0">Strings</TH>
<TH ALIGN=LEFT BGCOLOR="#C0C0C0">Message</TH>
</TR>
</LPHEADER> <LPBODY>
<TR bgCOLOR="%Color%">
<TD>%TimeGenerated%</TD>
<TD>%EventTypeName%</TD>
<TD>%Strings%</TD>
<TD>%Message%</TD>
</TR>
</LPBODY> </TABLE>
</BODY>
</HTML>

22) Upload Log Parser query results directly to a table in SQL Server

logparser "select * into LogTable from [LogFileName] where cs-uri-stem like ‘/folder/filename%’" -o:SQL -createTable:ON -server:[DatabaseServer] -database:[Database] -username:[SqlUser] -password:[SqlPassword]

23) Top 10 images by size sent. Note that this example also shows how to query multiple log files at once.

logparser "Select Top 10 StrCat(Extract_Path(TO_Lowercase(cs-uri-stem)),’/') AS RequestedPath, Extract_filename(To_Lowercase(cs-uri-stem)) As RequestedFile, Count(*) AS Hits, Max(time-taken) As MaxTime, Avg(time-taken) As AvgTime, Max(sc-bytes) As BytesSent INTO TOP10ImagesBySize.txt FROM logs\iis\ex*.log WHERE (Extract_Extension(To_Lowercase(cs-uri-stem)) IN (‘gif’;'jpg’;'png’)) AND (sc-status = 200) GROUP BY To_Lowercase(cs-uri-stem) ORDER BY BytesSent, Hits, MaxTime DESC"

24) Browser types (two different approaches)

logparser "SELECT distinct cs(User-Agent), count(*) as hits INTO useragentsalltypes.txt FROM logs\iis\ex*.log GROUP BY cs(user-agent) ORDER BY hits DESC"

logparser "SELECT TO_INT(MUL(100.0,PROPCOUNT(*))) AS Percent, COUNT(*) AS Hits, cs(User-Agent) as Browser INTO UseragentsHits.txt FROM logs\iis\ex*.log GROUP BY Browser ORDER BY HITS DESC"

25) Unique visitors per day. This requires two queries. The first query selects from the IIS logs into a CSV file, and the second selects from that CSV file.

logparser "SELECT DISTINCT cs-username, date INTO tempUniqueVisitorsPerDay.csv FROM logs\iis\ex*.log WHERE cs-username <> NULL Group By Date, cs-username"

logparser "SELECT date, count(cs-username) as UniqueVisitors into test.txt FROM tempUniqueVisitorsPerDay.csv GROUP BY date"

26) Top 10 largest ASPX pages.

logparser "Select Top 10 StrCat(Extract_Path(TO_Lowercase(cs-uri-stem)),’/') AS RequestedPath, Extract_filename(To_Lowercase(cs-uri-stem)) As RequestedFile, Count(*) AS Hits, Max(time-taken) As MaxTime, Avg(time-taken) As AvgTime, Max(sc-bytes) As BytesSent INTO top10pagesbysize.txt FROM logs\iis\ex*.log WHERE (Extract_Extension(To_Lowercase(cs-uri-stem)) IN (‘aspx’)) AND (sc-status = 200) GROUP BY To_Lowercase(cs-uri-stem) ORDER BY BytesSent, Hits, MaxTime DESC"

27) Top 10 slowest ASPX pages

logparser "SELECT TOP 10 cs-uri-stem, max(time-taken) as MaxTime, avg(time-taken) as AvgTime INTO toptimetaken.txt FROM logs\iis\ex*.log WHERE extract_extension(to_lowercase(cs-uri-stem)) = ‘aspx’ GROUP BY cs-uri-stem ORDER BY MaxTime DESC"

28) Top 10 slowest ASPX pages on a specific day

logparser "SELECT TOP 10 cs-uri-stem, max(time-taken) as MaxTime, avg(time-taken) as AvgTime INTO toptimetaken.txt FROM logs\iis\ex*.log WHERE extract_extension(to_lowercase(cs-uri-stem)) = ‘aspx’ AND TO_STRING(To_timestamp(date, time), ‘MMdd’)=’1003′ GROUP BY cs-uri-stem ORDER BY MaxTime DESC"

29) Daily bandwidth

logparser "Select To_String(To_timestamp(date, time), ‘MM-dd’) As Day, Div(Sum(cs-bytes),1024) As Incoming(K), Div(Sum(sc-bytes),1024) As Outgoing(K) Into BandwidthByDay.gif From logs\iis\ex*.log Group By Day"

30) Bandwidth by hour

logparser "SELECT QUANTIZE(TO_TIMESTAMP(date, time), 3600) AS Hour, SUM(sc-bytes) AS TotalBytesSent INTO BytesSentPerHour.gif FROM logs\iis\ex*.log GROUP BY Hour ORDER BY Hour"

31) Average page load time per user

logparser "Select Top 20 cs-username AS UserName, AVG(time-taken) AS AvgTime, Count(*) AS Hits INTO AvgTimePerUser.txt FROM logs\iis\ex*.log WHERE cs-username IS NOT NULL GROUP BY cs-username ORDER BY AvgTime DESC"

32) Ave page load time for a specific user

logparser "Select cs-username AS UserName, AVG(time-taken) AS AvgTime, Count(*) AS Hits INTO AvgTimeOnSpecificUser.txt FROM logs\iis\ex*.log WHERE cs-username = ‘CONTOSO\User1234’ GROUP BY cs-username"

33) Error trends. This query is quite long, and is easier expressed in a text file than on the command line. So, Log Parser reads and executes the query contained in the specified text file.

logparser file:errortrend.sql

Where errortrend.sql contains the following:

SELECT
TO_STRING(To_timestamp(date, time), ‘MMdd’) AS Day,
SUM(c200) AS 200s,
SUM(c206) AS 206s,
SUM(c301) AS 301s,
SUM(c302) AS 302s,
SUM(c304) AS 304s,
SUM(c400) AS 400s,
SUM(c401) AS 401s,
SUM(c403) AS 403s,
SUM(c404) AS 404s,
SUM(c500) AS 500s,
SUM(c501) AS 501s,
SUM(c502) AS 502s,
SUM(c503) AS 503s,
SUM(c504) AS 504s,
SUM(c505) AS 505s
USING
CASE sc-status WHEN 200 THEN 1 ELSE 0 END AS c200,
CASE sc-status WHEN 206 THEN 1 ELSE 0 END AS c206,
CASE sc-status WHEN 301 THEN 1 ELSE 0 END AS c301,
CASE sc-status WHEN 302 THEN 1 ELSE 0 END AS c302,
CASE sc-status WHEN 304 THEN 1 ELSE 0 END AS c304,
CASE sc-status WHEN 400 THEN 1 ELSE 0 END AS c400,
CASE sc-status WHEN 401 THEN 1 ELSE 0 END AS c401,
CASE sc-status WHEN 403 THEN 1 ELSE 0 END AS c403,
CASE sc-status WHEN 404 THEN 1 ELSE 0 END AS c404,
CASE sc-status WHEN 500 THEN 1 ELSE 0 END AS c500,
CASE sc-status WHEN 501 THEN 1 ELSE 0 END AS c501,
CASE sc-status WHEN 502 THEN 1 ELSE 0 END AS c502,
CASE sc-status WHEN 503 THEN 1 ELSE 0 END AS c503,
CASE sc-status WHEN 504 THEN 1 ELSE 0 END AS c504,
CASE sc-status WHEN 505 THEN 1 ELSE 0 END AS c505
INTO ErrorChart.gif
FROM
logs\iis\ex*.log
GROUP BY
Day
ORDER BY
Day

34) Win32 errors

logparser "SELECT sc-win32-status as ErrorNumber, WIN32_ERROR_DESCRIPTION(sc-win32-status) as ErrorDesc, Count(*) AS Total INTO Win32ErrorNumbers.txt FROM logs\iis\ex*.log WHERE sc-win32-status>0 GROUP BY ErrorNumber ORDER BY Total DESC"

35) Substatus codes

logparser "SELECT sc-status, sc-substatus, Count(*) AS Total INTO 401subcodes.txt FROM logs\iis\ex*.log WHERE sc-status=401 GROUP BY sc-status, sc-substatus ORDER BY sc-status, sc-substatus DESC"

36) Substatus codes per day. This is another example of executing a query contained in a text file.

logparser file:substatusperday.sql

Where substatusperday.sql contains the following:

SELECT
TO_STRING(To_timestamp(date, time), ‘MMdd’) AS Day,
SUM(c1) AS 4011,
SUM(c2) AS 4012,
SUM(c3) AS 4013,
SUM(c4) AS 4014,
SUM(c5) AS 4015,
SUM(c7) AS 4017
USING
CASE sc-substatus WHEN 1 THEN 1 ELSE 0 END AS c1,
CASE sc-substatus WHEN 2 THEN 1 ELSE 0 END AS c2,
CASE sc-substatus WHEN 3 THEN 1 ELSE 0 END AS c3,
CASE sc-substatus WHEN 4 THEN 1 ELSE 0 END AS c4,
CASE sc-substatus WHEN 5 THEN 1 ELSE 0 END AS c5,
CASE sc-substatus WHEN 7 THEN 1 ELSE 0 END AS c7
INTO
401subcodesperday.txt
FROM
logs\iis\ex*.log
WHERE
sc-status=401
GROUP BY
Day
ORDER BY
Day

37) Substatus codes per page

logparser "SELECT TOP 20 cs-uri-stem, sc-status, sc-substatus, Count(*) AS Total INTO 401Pagedetails.txt FROM logs\iis\ex*.log WHERE sc-status=401 GROUP BY cs-uri-stem, sc-status, sc-substatus ORDER BY Total"

38) MB sent per HTTP status code

logparser "SELECT EXTRACT_EXTENSION(cs-uri-stem) AS PageType, SUM(sc-bytes) as TotalBytesSent, TO_INT(MUL(PROPSUM(sc-bytes), 100.0)) AS PercentBytes INTO PagesWithLargestBytesSent.htm FROM logs\iis\ex*.log GROUP BY Pagetype ORDER BY PercentBytes DESC"

39) 500 errors per ASPX and Domain User

logparser "SELECT cs-username, cs-uri-stem, count(*) as Times INTO 500PagesByUserAndPage.txt FROM logs\iis\ex*.log WHERE sc-status=500 GROUP BY cs-username, cs-uri-stem ORDER BY Times DESC"

40) Percent of 500 errors caused by each user

logparser "SELECT cs-username, count(*) as Times, propcount(*) as Percent INTO 500ErrorsByUser.csv FROM logs\iis\ex*.log WHERE sc-status=500 GROUP BY cs-username ORDER BY Times DESC"

41) Determine what percentage of the total bytes sent are being caused by each page type

logparser "SELECT EXTRACT_EXTENSION(cs-uri-stem) AS PageType, SUM(sc-bytes) as TotalBytesSent, TO_INT(MUL(PROPSUM(sc-bytes), 100.0)) AS PercentBytes INTO PagesWithLargestBytesSent.txt FROM logs\iis\ex*.log GROUP BY Pagetype ORDER BY PercentBytes DESC"

42) Top 20 pages with a specific HTTP return code

logparser "SELECT TOP 20 cs-uri-stem, sc-status, Count(*) AS Total INTO TOP20PagesWith401.txt FROM logs\iis\ex*.log WHERE TO_LOWERCASE(cs-uri-stem) LIKE ‘%.aspx’ and sc-status=401 GROUP BY cs-uri-stem, sc-status ORDER BY Total, cs-uri-stem, sc-status DESC"

43) Check traffic from IP addresses

logparser "Select c-ip AS Client, Div(Sum(cs-bytes),1024) As IncomingBytes(K), Div(Sum(sc-bytes),1024) As OutgoingBytes(K), MAX(time-taken) as MaxTime, AVG(time-taken) as AvgTime, count(*) as hits INTO errorsperip.txt FROM logs\iis\ex*.log GROUP BY client ORDER BY Hits DESC"

44) Check errors by IP address

logparser file:errorbyip.sql

Where errorbyip.sql contains the following:

Select
c-ip AS Client,
SUM(c400) AS 400s,
sum(c401) AS 401s,
SUM(c403) AS 403s,
SUM(c404) AS 404s,
SUM(c500) AS 500s,
SUM(c501) AS 501s,
SUM(c502) AS 502s,
SUM(c503) AS 503s,
SUM(c504) AS 504s,
SUM(c505) AS 505s
USING
CASE sc-status WHEN 400 THEN 1 ELSE 0 END AS c400,
CASE sc-status WHEN 401 THEN 1 ELSE 0 END AS c401,
CASE sc-status WHEN 403 THEN 1 ELSE 0 END AS c403,
CASE sc-status WHEN 404 THEN 1 ELSE 0 END AS c404,
CASE sc-status WHEN 500 THEN 1 ELSE 0 END AS c500,
CASE sc-status WHEN 501 THEN 1 ELSE 0 END AS c501,
CASE sc-status WHEN 502 THEN 1 ELSE 0 END AS c502,
CASE sc-status WHEN 503 THEN 1 ELSE 0 END AS c503,
CASE sc-status WHEN 504 THEN 1 ELSE 0 END AS c504,
CASE sc-status WHEN 505 THEN 1 ELSE 0 END AS c505
INTO
IPNumberFileName.txt
FROM
    logs\iis\ex*.log
WHERE
    c-ip=’<IP address goes here>’
GROUP BY
    client

45) Find broken links

logparser "SELECT DISTINCT cs(Referer) as Referer, cs-uri-stem as Url INTO ReferBrokenLinks.txt FROM logs\iis\ex*.log WHERE cs(Referer) IS NOT NULL AND sc-status=404 AND (sc-substatus IS NULL OR sc-substatus=0)"

46) Top 10 pages with most hits

logparser "Select TOP 10 STRCAT(EXTRACT_PATH(cs-uri-stem),’/') AS RequestPath, EXTRACT_FILENAME(cs-uri-stem) AS RequestedFile, COUNT(*) AS TotalHits, Max(time-taken) AS MaxTime, AVG(time-taken) AS AvgTime, AVG(sc-bytes) AS AvgBytesSent INTO Top10Urls.txt FROM logs\iis\ex*.log GROUP BY cs-uri-stem ORDER BY TotalHits DESC"

47) Unique users per browser type (requires two queries)

logparser "SELECT DISTINCT cs-username, cs(user-agent) INTO UserAgentsUniqueUsers1.csv FROM logs\iis\ex*.log WHERE cs-username <> NULL GROUP BY cs-username, cs(user-agent)"

logparser "SELECT cs(user-agent), count(cs-username) as UniqueUsersPerAgent, TO_INT(MUL(PROPCOUNT(*), 100)) AS Percentage INTO UniqueUsersPerAgent.txt FROM UserAgentsUniqueUsers1.csv GROUP BY cs(user-agent) ORDER BY UniqueUsersPerAgent DESC"

48) Bytes sent per file extension

logparser "SELECT EXTRACT_EXTENSION( cs-uri-stem ) AS Extension, MUL(PROPSUM(sc-bytes),100.0) AS PercentageOfBytes, Div(Sum(sc-bytes),1024) as AmountOfMbBytes INTO BytesPerExtension.txt FROM logs\iis\ex*.log GROUP BY Extension ORDER BY PercentageOfBytes DESC"

49) Domains referring traffic to your site

logparser "SELECT EXTRACT_TOKEN(cs(Referer), 2, ‘/’) AS Domain, COUNT(*) AS [Requests] INTO ReferringDomains.txt FROM logs\iis\ex*.log GROUP BY Domain ORDER BY Requests DESC"

50) OS types (requires two queries)

logparser "SELECT DISTINCT c-ip, cs(user-agent) INTO UserAgentsUniqueUsers.csv FROM logs\iis\ex*.log WHERE c-ip <> NULL GROUP BY c-ip, cs(user-agent)"

logparser file:getos.sql

Where getos.sql contains the following:

SELECT
SUM (c70) AS Win7,
SUM (c60) AS Vista,
SUM (c52) AS Win2003,
SUM (c51) AS WinXP,
SUM (C50) AS Win2000,
SUM (W98) AS Win98,
SUM (W95) AS Win95,
SUM (W9x) AS Win9x,
SUM (NT4) AS WinNT4,
SUM (OSX) AS OS-X,
SUM (Mac) AS Mac-,
SUM (PPC) AS Mac-PPC,
SUM (Lnx) AS Linux
USING
CASE strcnt(cs(User-Agent),’Windows+NT+6.1′) WHEN 1 THEN 1 ELSE 0 END AS C70,
CASE strcnt(cs(User-Agent),’Windows+NT+6.0′) WHEN 1 THEN 1 ELSE 0 END AS C60,
CASE strcnt(cs(User-Agent),’Windows+NT+5.2′) WHEN 1 THEN 1 ELSE 0 END AS C52,
CASE strcnt(cs(User-Agent),’Windows+NT+5.1′) WHEN 1 THEN 1 ELSE 0 END AS C51,
CASE strcnt(cs(User-Agent),’Windows+NT+5.0′) WHEN 1 THEN 1 ELSE 0 END AS C50,
CASE strcnt(cs(User-Agent),’Win98′) WHEN 1 THEN 1 ELSE 0 END AS W98,
CASE strcnt(cs(User-Agent),’Win95′) WHEN 1 THEN 1 ELSE 0 END AS W95,
CASE strcnt(cs(User-Agent),’Win+9x+4.90′) WHEN 1 THEN 1 ELSE 0 END AS W9x,
CASE strcnt(cs(User-Agent),’Winnt4.0′) WHEN 1 THEN 1 ELSE 0 END AS NT4,
CASE strcnt(cs(User-Agent),’OS+X’) WHEN 1 THEN 1 ELSE 0 END AS OSX,
CASE strcnt(cs(User-Agent),’Mac’) WHEN 1 THEN 1 ELSE 0 END AS Mac,
CASE strcnt(cs(User-Agent),’PPC’) WHEN 1 THEN 1 ELSE 0 END AS PPC,
CASE strcnt(cs(User-Agent),’Linux’) WHEN 1 THEN 1 ELSE 0 END AS Lnx
INTO
GetOSUsed.txt
FROM
UserAgentsUniqueUsers.csv

51) Get timeout errors from the server Event Log. Display results in a datagrid.

logparser "select * from \\servername\application where message like ‘%timeout expired%’" -i:EVT -o:datagrid

52) Get exceptions from the server Event (Application) Log

logparser "select timegenerated, eventtypename, eventcategoryname, message into webserverlog.csv from \\servername\application where message like ‘%myapplication%exception%’" -i:EVT

@^^

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