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* delete asciidoc files
* add migrated files
* fix errors
* Disable docs tests
* Clarify release notes page titles
* Revert "Clarify release notes page titles"
This reverts commit 8be688648d
.
* Comment out edternal URI images
* Clean up query languages landing pages, link to conceptual docs
* Add .md to url
* Fixes inference processor nesting.
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Co-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>
Co-authored-by: Liam Thompson <leemthompo@gmail.com>
Co-authored-by: Martijn Laarman <Mpdreamz@gmail.com>
Co-authored-by: István Zoltán Szabó <szabosteve@gmail.com>
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1.6 KiB
Joining queries [joining-queries]
Performing full SQL-style joins in a distributed system like Elasticsearch is prohibitively expensive. Instead, Elasticsearch offers two forms of join which are designed to scale horizontally.
nested
query- Documents may contain fields of type
nested
. These fields are used to index arrays of objects, where each object can be queried (with thenested
query) as an independent document. has_child
andhas_parent
queries- A
join
field relationship can exist between documents within a single index. Thehas_child
query returns parent documents whose child documents match the specified query, while thehas_parent
query returns child documents whose parent document matches the specified query.
Also see the terms-lookup mechanism in the terms
query, which allows you to build a terms
query from values contained in another document.
Notes [joining-queries-notes]
Allow expensive queries [_allow_expensive_queries_2]
Joining queries will not be executed if search.allow_expensive_queries
is set to false.