| if contains( searches for a string that matches the pattern for a month name, then assigns “month” as the field the name. The following example reads a file called myLog.json and returns the Logger name and message for any entries that contain “Exception” in the message. In addition to a command-line utility, jq provides a web interface for testing commands. One popular open-source parser, jq, makes traversing JSON files simple and straightforward. Each log entry includes the date and time of the entry, the name of the Logger that recorded the entry, and many other useful elements. The JSON format makes it easy to extract data from log files since the data is already stored in a structured format. Although we’ll demonstrate the use of command-line utilities, we recommend using a log management solution such as SolarWinds ® Loggly ® to make log parsing and analysis much easier. This section explores some of these utilities and how you can use them to extract more data from your logs. These include basic text processing tools such as grep or sed to more advanced desktop and web tools designed to parse almost any log format. There are several utilities for digesting and presenting log data in the form of lists, tables, charts, and graphs. Analyzing and Troubleshooting Python LogsĮxtracting data from log files can be tricky, but it can also provide insight into the performance and usability of your application.Python Logging Libraries and Frameworks.
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