A search query, or query, is a request for information about data in {es} data streams or indices.
You can think of a query as a question, written in a way {es} understands. Depending on your data, you can use a query to get answers to questions like:
-
What processes on my server take longer than 500 milliseconds to respond?
-
What users on my network ran
regsvr32.exe
within the last week? -
What pages on my website contain a specific word or phrase?
{es} supports several search methods:
- Search for exact values
-
Search for exact values or ranges of numbers, dates, IPs, or strings.
- Full-text search
-
Use full text queries to query unstructured textual data and find documents that best match query terms.
- Vector search
-
Store vectors in {es} and use approximate nearest neighbor (ANN) or k-nearest neighbor (kNN) search to find vectors that are similar, supporting use cases like semantic search.
To run a search request, you can use the search API or Search Applications.
- Search API
-
The search API enables you to search and aggregate data stored in {es} using a query language called the Query DSL.
- Search Applications
-
Search Applications enable you to leverage the full power of {es} and its Query DSL, with a simplified user experience. Create search applications based on your {es} indices, build queries using search templates, and easily preview your results directly in the Kibana Search UI.