Though not essential, the Distributed plugins enable remote live querying of data from Osquery. Hence these Osquery plugins provide the required configuration to the daemon. In order to support the buffering of events efficiently, an outer agent called RocksDB, is used by Osquery, which is a highly write-optimized, embedded key-value database that is compiled into the Osquery binary.Īs we know that Osquery runs in various environments, the Configuration Plugins and the result of log plugins need to be adaptable to all the platforms. Each time a query runs, the results of that query are stored in the internal RocksDB store. Osquery has an excellent feature of Differential Engine, which helps to output only the most relevant data. A continuous visibility is promised with the help of this Event system, where the Publishers are also granted the permission to develop their own event scheduler thread and can choose the API of their choice.Ī smart move, which allows the queries to run on an approximate scheduled time interval, rather than exact one, thus preventing resource spikes across the fleet. Each time a virtual table is queried, the event system can generate, filter and store data to be exposed. The Osquery has an intelligent Event system, which has a keen eye for monitoring sense. Now, the Osquery code translates the SQLite table constraints so that the virtual table can generate the requested data using APIS.When the user passes a query, the engine requests the Virtual Tables to generate the data.Initially, Osquery build powers the SQLite with all the required data definitions and file hierarchies, which helps to retrieve the data dynamically.How Query Engine and Virtual Tables are related? These tables are generated during a query execution either by parsing a file or calling a system API, which further plays a vital role in analytics. Virtual Tables are the soul of Osquery, which are defined through a DSL implemented in Python. Also, the data here is not stored in SQLite, but captured under Virtual Tables or RocksDB Database. The query engine of Osquery is completely SQLite, thus making it simpler to the users while querying, parsing, optimizing and executing the data as required. Let us understand, how technically Osquery works and what all are required for a successful query processing. SQL tables are thus created to understand the performance or data related to: We all know that Osquery is a tool that exposes an operating system as a high-performance relational database by enabling the developers to write SQL-based queries. Initially, we would like to explain the mechanism and the technical terms related to Osquery functionality and also give examples to demonstrate how Osquery works. This article exclusively helps the beginners out there, who are willing to learn and explore Osquery.
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