Kibana Querying Language

KQL, which stands for Kibana Querying Language, is a dedicated querying language used in Kibana to search and retrieve data. It has been introduced as the default querying language for users. With KQL, users can efficiently search their data by writing queries that adhere to the syntax and rules of the language.

Users who are familiar with the previous method of data searching in Kibana, which involved using Lucene, have the option to continue using it instead of adopting KQL. This means that they have the flexibility to choose between the two querying languages based on their familiarity and preferences.

What Are The Different Search Types Available In Kibana and How Are They Used?

Kibana offers various search types, each serving a unique purpose when it comes to querying data. These search types can help users effectively search and analyze their data and have been detailed below:

• Free text searches: This search type is ideal for quickly finding specific strings within the data. Users can enter a search term or phrase, and Kibana will return any documents that contain that exact string.

• Field-level searches: With field-level searches, users can target their search within a specific field of their data. This allows for more precise querying, as users can search for a particular string only within a specific field, rather than across all fields.

• Logical statements: Logical statements help users combine multiple search queries into a single meaningful expression. Kibana supports logical operators such as AND, OR, and NOT, which allow users to perform complex searches by combining different criteria.

• Proximity searches: Proximity searches enable users to search for terms or phrases within a specific character proximity. This search type is particularly useful when there is a need to find terms that occur close to each other within the data.