Re: Log Parser Lizard Serial Number
Mina Spartin
MS Logparser and Log Parser Lizard collectively serve as indispensable tools in the toolbox of every system administrator and developer. They are essential for forensics, debugging, log collection, big data analysis, data visualization, and reporting.
MS Logparser incorporates an ETL data pipeline for data collection, transformation, and SQL Server data store loading. Log Parser Lizard supplements this with a robust printing and data export engine, supporting a wide range of file formats including XLS, XLSX, PDF, RTF, TXT, MHT, CSV, HTML, and various image formats.
Log Parser Lizard is the leading GUI for Microsoft Logparser, offering unparalleled power and versatility. This robust query tool provides universal SQL access to text-based data such as log files, XML files, and TSV/CSV text files, but also enables parsing of text files using Regular Expressions and GROK. In addition to text-based data, it can read critical Windows data sources, including the Windows Event Log, IIS logs, the registry, the File System, and Active Directory services. Developers can further customize its functionality by building Microsoft VB.Net Plugins for LPL. Below is the list of all supported input formats:
Book: Website invasion scene This book is written in Chinese. Summary: Through the analysis of web log, analysts can use log parser lizard (LPL) to quickly understand hacking techniques, and then fix vulnerabilities. This book introduced the Information Security OWASP TOP 10 (information security) and the basic operation of log parser lizard (LPL) software.
Standard license offered for Log Parser Lizard is a Single User license. A single-user license for full version of Log Parser Lizard is an identified-user license. The registered user is the only authorized user of that license. A single-user license allows Log Parser Lizard to be installed in up to two locations as long as the authorized user is the only one with access to the software. The purchaser cannot sell, lease, sub-lease, transfer or distribute the software to any other person. More single user licenses can be ordered if necessary (if total number of LPL installations used by a single user is more then 2 or LPL is used by more persons)
A company license is a permission to allow the total number of installations, usually for a large company. A company means an organization, including public and private companies, corporations, institutions and non-profit organizations. If you order a company license, full version of Log Parser Lizard can be installed on up to 60 computers or servers across the single company and can be used by any number of users. One license key is issued to register a company license on all computers. More company licenses can be ordered if necessary (if total number of LPL installations is more then 60).
I gave Log Parser Lizard a test run. Found some things I liked and disliked. Good for cataloging queries. Good for analyzing query results. Not as helpful with query composition as I thought a GUI might be. OK with small result sets, but performed poorly with a large result set. Full details can be found at -gui-for-log-parser/.
does logparser support subqueries? Im trying to parse an XML, I can get all the items, but also I need another field that is outside items list and is the same for every item. So I need to add it as another colum with a subquery. Is that possible? THANKS A LOT
Yes, you can use the TO_DATE() function. Depending on the format of the dates in your log file, you may need to also use the TO_TIMESTAMP() function to provide an input to TO_DATE(). For more details, see -parser-rocks-more-than-50-examples/#comment-135 where I answered a similar question.
That should work from the command line. Personally, I have not used Log Parser from within a C# application, so I cannot guarantee that it will work for you exactly as I have written it. In particular, the number of backslashes might need to be different within a C# application.
As far as where to run the Log Parser queries, that depends on a number of factors. Can you access the FTP server from your local machine? If so, you can use Log Parser to query the files in place. If not, are you comfortable installing Log Parser and running log analysis on your live FTP server? If so, you can run the Log Parser analysis on the FTP server. Otherwise, exporting the logs to your local machine is probably the way to go.
If I understand what you are looking for, you want a query that will return the name of an API endpoint, along with the total number of requests for that endpoint, the number of requests that took 0-6 seconds, the number that took 6-10 seconds, the number that took 10-20 seconds, and the number that took more than 20 seconds. Is that correct?
Lizard is an extensible Cyclomatic Complexity Analyzer for imperative programming languages including C/C++/C#, Python, Java, and Javascript. It counts the nloc (lines of code without comments) and CCN (cyclomatic complexity number), and takes a token count of functions and a parameter count of functions. It also does copy-paste detection (code clone detection/code duplicate detection) and many other forms of static code analysis. Lizard is often used in software-related research and calculates how complex the code looks rather than how complex the code really is; thought it's often very hard to get all the included folders and files right when they are complicated, that accuracy is not needed to determine cyclomatic complexity, which can be useful for measuring the maintainability of a software package.
There are a number of ways to access a NuGet packaging server. You can use the Add Package Dialog, the Command Line, the PowerShell Console within Visual Studio, or the NuGet Package Explorer. There's also some testing data and some "no user agent" stuff in there also. I filtered that out by just charting "NuGet" clients.
I knew I wanted to get some information about the visitors to my blog, but I needed to decide exactly what information I wanted. Initially I was just curious about the number of people that were subscribed to my blog, and the number of unique visitors I get per month (or year, or whatever). I knew that information was in my IIS logs, I just needed a way to get it out. I decided to go with Log Parser. It's a free tool from Microsoft that provides a way to get information from a variety of log types in Windows, IIS logs included. It is just as flexible about output file types as it is input types. It's a command line tool, so it lends itself well scripting. That's great if you want to run these reports daily or monthly. Because of its flexibility you'll be able to use it for other monitoring in your environment once you get used to how it works.
To make things easy for this blog post I'll be getting all of these states for a one month period. I'll be getting the number of unique users per month, number of subscribers per month, etc. To change the interval you'd just change which log files you're interrogating. We'll cover that later.
Those of you that have done any SQL queries will recognize the format immediately. They are standard TSQL queries. This query works out of the box, but it needs some tweaking for my situation. First I needed to change what was being counted. The example looks for the number of distinct values in cs-username. Since this is a blog that is read anonymously, that column will always be empty. Instead, I'm using the c-ip column, which is the client IP address. If you're running these queries in a collaboration environment, using cs-username might make more sense.
Log Parser will parse a variety of logs in such a way that you can execute SQL-like queries on them. This makes it a useful tool for searching through large and/or multiple logs. Basically, you point Log Parser to a source, tell it what format the logs are in, define a query, and write the output somewhere.An example will make this clear. This query will show us the number of errors per day in the Application event log:
Each record generated by an Input Format is made up of a fixed number of fields (the columns in a SQL table), and each field is assigned a specific name and a specific data type; the data types supported by Log Parser are:
The DISTINCT keyword is used to indicate that the output of a query should consist of unique records. Duplicate output records are discarded. It is also possible to use the DISTINCT keyword inside the COUNT aggregate function, in order to retrieve the total number of different values appearing in the data.
The art of creating great SQL/Log Parser queries is outside the scope of this post, however all of the queries included with LPS have been written to achieve the most concise results while returning the fewest records. Knowing what you want and how to get it with the least number of rows returned is the key!
There is no limit on the size of the file(s) that can be processed with log parser. You may process any number of very large files. Takes only a few seconds to count all rows in gigabytes of log files (depending on your hardware).
The parser of lizard almost build the callgraph, but I must admit we stopped halfway when we worked on flinter. Still lizard will tell you the longest and the most complex routines. Which can be useful info.
Log Parser pauses the screen output every 10 records with the instruction to "Press a key..." This behaviour can be changed by using the switch --rpt: where number is the number of records to display before the "Press a key..." prompt is displayed, for example -rtp:20
.NET CLR Memory -> % Time in GC: This counter reflects what % of the time your application spends doing garbage collection. If this number spikes a lot above 5-10%, you want to investigate memory usage further.
SQL Server Management Studio (SSMS) is an integrated environment for accessing, configuring, managing, administering, and developing all components of SQL Server. SSMS combines a broad group of graphical tools with a number of rich script editors to provide developers and administrators of all skill levels access to SQL Server. This release features improved compatibility with previous versions of SQL Server, a stand-alone web installer, and toast notifications within SSMS when new releases become available.
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