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kql-elasticsearch-data-filtering's Introduction

Kibana Query Language (KQL)

The Kibana Query Language (KQL) is a simple text-based query language designed for filtering Elasticsearch data. Unlike other query languages, KQL's primary role is data filtering; it does not handle aggregation, transformation, or sorting.

Key Features:

  • Filter data using free text search or field-based queries
  • Suggests field names, values, and operators as you type
  • Ideal for precise data retrieval

Usage Examples:

  • Filter documents where a value for a field exists: http.request.method: *
  • Match specific values: http.request.method: GET
  • Search within a range: http.response.bytes < 10000
  • Combine multiple range queries: http.response.bytes > 10000 and http.response.bytes <= 20000

Getting Started:

  • Explore the KQL documentation for detailed syntax and examples
  • Use KQL in Kibana's search bar for interactive queries

Contributing:

Kibana Query Language (KQL) is a powerful tool for filtering and querying Elasticsearch data. Whether youโ€™re investigating security incidents, analyzing logs, or monitoring performance, KQL simplifies the process. As an open-source project, we invite you to contribute by reporting bugs, enhancing features, and engaging with the Kibana community. Letโ€™s collaborate to make KQL even better! ๐Ÿš€๐Ÿ‘

License:

Read More about license here

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