Learn the syntax for writing LogScale Queries
The LogScale Query Language (LQL) is the syntax that lets you compose queries to retrieve, process, and analyze data in Falcon LogScale.
The query language is built around a chain of data-processing commands linked together. Each expression passes its result to the next expression in the sequence, allowing you to create complex queries by combining query expressions. This architecture is similar to command pipes, a powerful and flexible mechanism for advanced data analysis in Unix and Linux shells.
This reference section on the LogScale Query Language provides explanations and detailed descriptions on the following topics:
When querying data in LogScale, filters may be used to reduce the results to the relevant data. You can use free-text filters to grep data, or you can filter based on fields, stipulating acceptable field values or using regular expressions for matching field contents. See Query Filters.
For filtering, there are several operators available: besides logical operators, there are also some comparison operators to narrow search results to what's most important to you. See Operators.
To improve results sets, as well as to construct more complex queries, you can create new fields when querying data. You can do this using the
assyntax, a regex, or
eval()function. See Adding Fields.
Although LogScale's query language does not provide a typical conditional syntax, there are ways to evaluate data conditionally. You can use a case statement or a match statement. See Conditional Expressions.
You can use query functions to get values, or reduce results. LogScale provides many built-in query functions, and you can combine them to create your own. See Query Functions.
Time Related Syntax
For time related queries, you may want to know about Rate Unit Conversion, or about relative time syntax. See Relative Time Syntax.
You may also want to read the Getting Started Tutorial. It will link you to an interactive tutorial that will introduce you to queries in LogScale and let you try sample queries that will demonstrate the basic principles.