Abstract
Log files—records of the events that have occurred in a system—often contain information deemed crucial to a business. However, most of the times, log files can be so large that it becomes almost impossible to extract useful data or find meaningful patterns in the amount of information that they provide. The Log Parser tool allows users to treat log files and other information as Structured Query Language (SQL) tables, the rows of which can be queried, processed, and formatted in different ways. The power of the SQL language, together with the variety of data that can be processed by Log Parser, makes it possible to extract specific information, calculate statistics, and generate reports from large amounts of data. This chapter discusses the way to use simple SQL-like queries on a variety of input data to search specific information and calculate statistics. The queries can be easily adapted to work on the data coming from different sources, including Internet Information Services (IIS) log files, the Windows Event Log, system information, and generic text files. The results of these queries can be formatted and presented in different ways, leveraging the variety of output formats supported by Log Parser.
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