70 lines
2.3 KiB
Plaintext
70 lines
2.3 KiB
Plaintext
[[search-search]]
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== Search
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The search API allows you to execute a search query and get back search hits
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that match the query. The query can either be provided using a simple
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<<search-uri-request,query string as a parameter>>, or using a
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<<search-request-body,request body>>.
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["float",id="search-multi-index-type"]
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=== Multi-Index, Multi-Type
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All search APIs can be applied across multiple types within an index, and
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across multiple indices with support for the
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<<multi-index,multi index syntax>>. For
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example, we can search on all documents across all types within the
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twitter index:
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[source,js]
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--------------------------------------------------
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GET /twitter/_search?q=user:kimchy
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:twitter]
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We can also search within specific types:
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[source,js]
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--------------------------------------------------
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GET /twitter/tweet,user/_search?q=user:kimchy
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:twitter]
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We can also search all tweets with a certain tag across several indices
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(for example, when each user has his own index):
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[source,js]
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--------------------------------------------------
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GET /kimchy,elasticsearch/tweet/_search?q=tag:wow
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--------------------------------------------------
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// CONSOLE
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// TEST[s/^/PUT kimchy\nPUT elasticsearch\n/]
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Or we can search all tweets across all available indices using `_all`
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placeholder:
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[source,js]
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--------------------------------------------------
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GET /_all/tweet/_search?q=tag:wow
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:twitter]
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Or even search across all indices and all types:
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[source,js]
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--------------------------------------------------
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GET /_search?q=tag:wow
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:twitter]
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By default elasticsearch doesn't reject any search requests based on the number
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of shards the request hits. While elasticsearch will optimize the search execution
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on the coordinating node a large number of shards can have a significant impact
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CPU and memory wise. It is usually a better idea to organize data in such a way
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that there are fewer larger shards. In case you would like to configure a soft
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limit, you can update the `action.search.shard_count.limit` cluster setting in order
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to reject search requests that hit too many shards.
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