OpenSearch/docs/reference/search/search.asciidoc

[[search-search]]
== Search

The search API allows you to execute a search query and get back search hits
that match the query. The query can either be provided using a simple
<<search-uri-request,query string as a parameter>>, or using a
<<search-request-body,request body>>.

["float",id="search-multi-index-type"]
=== Multi-Index, Multi-Type

All search APIs can be applied across multiple types within an index, and
across multiple indices with support for the
<<multi-index,multi index syntax>>. For
example, we can search on all documents across all types within the
twitter index:

[source,js]
--------------------------------------------------
GET /twitter/_search?q=user:kimchy
--------------------------------------------------
// CONSOLE
// TEST[setup:twitter]

We can also search within specific types:

[source,js]
--------------------------------------------------
GET /twitter/tweet,user/_search?q=user:kimchy
--------------------------------------------------
// CONSOLE
// TEST[setup:twitter]

We can also search all tweets with a certain tag across several indices
(for example, when each user has his own index):

[source,js]
--------------------------------------------------
GET /kimchy,elasticsearch/tweet/_search?q=tag:wow
--------------------------------------------------
// CONSOLE
// TEST[s/^/PUT kimchy\nPUT elasticsearch\n/]

Or we can search all tweets across all available indices using `_all`
placeholder:

[source,js]
--------------------------------------------------
GET /_all/tweet/_search?q=tag:wow
--------------------------------------------------
// CONSOLE
// TEST[setup:twitter]

Or even search across all indices and all types:

[source,js]
--------------------------------------------------
GET /_search?q=tag:wow
--------------------------------------------------
// CONSOLE
// TEST[setup:twitter]

By default elasticsearch doesn't reject any search requests based on the number
of shards the request hits. While elasticsearch will optimize the search execution
on the coordinating node a large number of shards can have a significant impact
CPU and memory wise. It is usually a better idea to organize data in such a way
that there are fewer larger shards. In case you would like to configure a soft
limit, you can update the `action.search.shard_count.limit` cluster setting in order
to reject search requests that hit too many shards.