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The other day I was asked if I knew about a tool that would allow users to easily analyze the IIS Log Files, to process and look for specific data that could easily be automated. My recommendation was that if they were comfortable with using a SQL-like language that they should use Log Parser. Log Parser is a very powerful tool that provides a generic SQL-like language on top of many types of data like IIS Logs, Event Viewer entries, XML files, CSV files, File System and others; and it allows you to export the result of the queries to many output formats such as CSV (Comma-Separated Values, etc), XML, SQL Server, Charts and others; and it works well with IIS 5, 6, 7 and 7.5.
To use it you just need to install it and use the LogParser.exe that is found in its installation directory (on my x64 machine it is located at: C:Program Files (x86)Log Parser 2.2).
I also thought on sharing some of my favorite queries. To run them, just execute LogParser.exe and make sure to specify that the input is an IIS Log file (-i:W3C) and for ease of use in this case we will export to a CSV file that can be then opened in Excel (-o:CSV) for further analysis:
LogParser.exe-i:W3C 'Query-From-The-Table-Below' -o:CSV
Purpose | Query | Sample Output | ||||||||||||||||||||||||
Number of Hits per Client IP, including a Reverse DNS lookup (SLOW) | SELECTc-ipAsMachine, REVERSEDNS(c-ip)AsName, COUNT(*)AsHits FROMc:inetpublogsLogFilesW3SVC1* GROUPBYMachineORDERBYHitsDESC |
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Top 25 File Types | SELECTTOP25 EXTRACT_EXTENSION(cs-uri-stem)AsExtension, COUNT(*)AsHits FROMc:inetpublogsLogFilesW3SVC1* GROUPBYExtension ORDERBYHitsDESC |
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Top 25 URLs | SELECTTOP25 cs-uri-stemasUrl, COUNT(*)AsHits FROMc:inetpublogsLogFilesW3SVC1* GROUPBYcs-uri-stem ORDERByHitsDESC |
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Number of hits per hour for the month of March | SELECT QUANTIZE(TO_LOCALTIME(TO_TIMESTAMP(date,time)),3600)ASHour, COUNT(*)ASHits FROMc:inetpublogsLogFilesW3SVC1* WHEREdate>'2010-03-01' anddate<'2010-04-01' GroupByHour |
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Number of hits per Method (GET, POST, etc) | SELECT cs-methodAsMethod, COUNT(*)AsHits FROMc:inetpublogsLogFilesW3SVC1* GROUPBYMethod |
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Number of requests made by user | SELECTTOP25 cs-usernameAsUser, COUNT(*)asHits FROMc:inetpublogsLogFilesW3SVC1* WHEREUserIsNotNull GROUPBYUser |
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Extract Values from Query String (d and t) and use them for Aggregation | SELECTTOP25 EXTRACT_VALUE(cs-uri-query,'d')asQuery_D, EXTRACT_VALUE(cs-uri-query,'t')asQuery_T, COUNT(*)AsHits FROMc:inetpublogsLogFilesW3SVC1* WHEREQuery_DISNOTNULL GROUPBYQuery_D,Query_T ORDERByHitsDESC |
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Find the Slowest 25 URLs (in average) in the site | SELECTTOP25 cs-uri-stemasURL, MAX(time-taken)AsMax, MIN(time-taken)AsMin, Avg(time-taken)AsAverage FROMc:inetpublogsLogFilesW3SVC1* GROUPBYURL ORDERByAverageDESC |
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List the count of each Status and Substatus code | SELECTTOP25 STRCAT(TO_STRING(sc-status), STRCAT('.',TO_STRING(sc-substatus)))AsStatus, COUNT(*)ASHits FROMc:inetpublogsLogFilesW3SVC1* GROUPBYStatus ORDERBYStatusASC |
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List all the requests by user agent | SELECT cs(User-Agent)AsUserAgent, COUNT(*)asHits FROMc:inetpublogsLogFilesW3SVC1* GROUPBYUserAgent ORDERBYHitsDESC |
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List all the Win32 Error codes that have been logged | SELECT sc-win32-statusAsWin32-Status, WIN32_ERROR_DESCRIPTION(sc-win32-status)asDescription, COUNT(*)ASHits FROMc:inetpublogsLogFilesW3SVC1* WHEREWin32-Status<>0 GROUPBYWin32-Status ORDERBYWin32-StatusASC |
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A final note: any time you deal with Date and Time, remember to use the TO_LOCALTIME function to convert the log times to your local time, otherwise you will find it very confusing when your entries seem to be reported incorrectly.
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Log File Analyzer
If you need any help you can always visit the Log Parser Forums to find more information or ask specific questions.
Seo Log File Analyzer Serial Key Generator
Listgrabber standard 2016 serial key code. Any other useful queries I missed?
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