Elastic Search Applications
editElastic Search Applications
editSearch Applications enable users to build search-powered applications that leverage the full power of Elasticsearch and its Query DSL, with a simplified user experience. Create search applications based on your Elasticsearch indices, build queries using search templates, and easily preview your results directly in the Enterprise Search Kibana UI.
You can also interact with your search applications using the Elasticsearch Search Application
APIs.
Search Applications are designed to simplify building unified search experiences across a range of enterprise search use cases, using the Elastic platform.
Availability and prerequisites
editThe Search Applications feature was introduced in Elastic version 8.8.0.
Search Applications is a tech preview feature. Tech preview features are subject to change and are not covered by the support SLA of generally available (GA) features. Elastic plans to promote this feature to GA in a future release.
This feature is available to all Elastic Cloud deployments.
This feature is also available to self-managed deployments when the subscription requirements are satisfied. View the requirements for this feature under the Elastic Enterprise Search section of the Elastic Stack subscriptions page.
Your deployment must include the Elasticsearch and Kibana services.
Managing search applications requires the manage_search_application
cluster privilege, and also requires manage privileges on all indices associated with the search application.
App Search and Workplace Search remain as-is, and are still available as separate, standalone experiences, independent of Search Applications.
Overview
editThe Elasticsearch Query DSL is powerful and flexible, but it comes with a steep learning curve. Complex queries are verbose and hard to understand for non-experts. We’ve designed search applications to be easier to search over, but with the flexibility of working with an Elasticsearch index.
Search Applications use search templates to simplify the process of building queries. Templates are defined when creating a search application, and can be customized according to your needs. Read search applications templates for the details.
Get started
editOption 1: Get started in the UI
editYou can create build, and manage your search applications directly in the Kibana UI under Enterprise Search. Make sure you have at least one Elasticsearch index to work with on your deployment. The indices underlying your search application are searched together, similar to how an alias searches over multiple indices.
To create a new search application in Kibana:
- Go to Enterprise Search > Search Applications.
- Select Create.
- Select the Elasticsearch indices you want to use for your search application.
- Name your search application.
- Select Create.
Your search application should now be available in the list of search applications.
Once created, you can preview searches against your search application under Enterprise Search > Search Applications > your-search-application > Search Preview. From there, you can expand a matching Elasticsearch document to see its full contents.
Option 2: Get started with the API
editUse the Elasticsearch Put Search Application API to create a search application.
The following example creates a search application named my_search_application
that searches over the my_search_index1
and my_search_index2
indices, along with defining a simple search template (Refer to Default template example).
PUT /_application/search_application/my_search_application { "indices": [ "my_search_index1", "my_search_index2" ], "template": { "script": { "source": { "query": { "query_string": { "query": "{{query_string}}", "default_field": "{{default_field}}" } } }, "params": { "query_string": "*", "default_field": "*" } } } }
Search templates
editSearch templates are the heart of your search applications. The default template created for a search application is very minimal, and you’ll want to customize it to suit your needs. Search templates contains a number of examples to get you started, including the default template, as well as templates for text search, semantic search and hybrid search.