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404.md

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---
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layout: not-found
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---
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# Page not found

deploy-manage/_snippets/field-doc-sec-limitations.md

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Field and document security is subject to the following limitations:
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Field and document security is subject to the following limitations:
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### Document level security limitations
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When a user’s role enables [document level security](/deploy-manage/users-roles/cluster-or-deployment-auth/controlling-access-at-document-field-level.md) for a data stream or index:
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* Document level security doesn’t affect global index statistics that relevancy scoring uses. This means that scores are computed without taking the role query into account. Documents that don’t match the role query are never returned.
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* The `has_child` and `has_parent` queries aren’t supported as query parameters in the role definition. The `has_child` and `has_parent` queries can be used in the search API with document level security enabled.
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* [Date math](asciidocalypse://docs/elasticsearch/docs/reference/elasticsearch/rest-apis/common-options.md#date-math) expressions cannot contain `now` in [range queries with date fields](asciidocalypse://docs/elasticsearch/docs/reference/query-languages/query-dsl-range-query.md#ranges-on-dates).
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* [Date math](elasticsearch://reference/elasticsearch/rest-apis/common-options.md#date-math) expressions cannot contain `now` in [range queries with date fields](elasticsearch://reference/query-languages/query-dsl-range-query.md#ranges-on-dates).
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* Any query that makes remote calls to fetch query data isn’t supported, including the following queries:
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* `terms` query with terms lookup
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* If suggesters are specified and document level security is enabled, the specified suggesters are ignored.
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* A search request cannot be profiled if document level security is enabled.
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* The [terms enum API](https://www.elastic.co/docs/api/doc/elasticsearch/operation/operation-terms-enum) does not return terms if document level security is enabled.
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* The [`multi_match`](asciidocalypse://docs/elasticsearch/docs/reference/query-languages/query-dsl-multi-match-query.md) query does not support specifying fields using wildcards.
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* The [`multi_match`](elasticsearch://reference/query-languages/query-dsl-multi-match-query.md) query does not support specifying fields using wildcards.
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:::{note}
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:::{note}
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While document-level security prevents users from viewing restricted documents, it’s still possible to write search requests that return aggregate information about the entire index. A user whose access is restricted to specific documents in an index could still learn about field names and terms that only exist in inaccessible documents, and count how many inaccessible documents contain a given term.
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deploy-manage/api-keys.md

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---
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applies_to:
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stack: ga
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deployment:
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eck: ga
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ess: ga
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serverless: ga
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---
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# Manage API keys
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% What needs to be done: Write from scratch
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% GitHub issue: https://github.com/elastic/docs-projects/issues/349
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% Scope notes: Elasticsearch & Kibana authentication API Keys
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# API keys
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API keys are security mechanisms used to authenticate and authorize access to your deployments and {{es}} resources.
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deploy-manage/api-keys/serverless-project-api-keys.md

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:::{image} ../../images/serverless-api-key-management.png
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:alt: API keys UI
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:class: screenshot
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:screenshot:
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:::{image} ../../images/serverless-create-personal-api-key.png
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:alt: Create API key UI
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:screenshot:
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deploy-manage/autoscaling.md

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mapped_urls:
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- https://www.elastic.co/guide/en/cloud-heroku/current/ech-autoscaling.html
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- https://www.elastic.co/guide/en/cloud/current/ec-autoscaling.html
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- https://www.elastic.co/guide/en/cloud-enterprise/current/ece-autoscaling.html
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- https://www.elastic.co/guide/en/elasticsearch/reference/current/xpack-autoscaling.html
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applies_to:
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deployment:
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ece: ga
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ess: ga
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serverless: all
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# Autoscaling
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% What needs to be done: Refine
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The autoscaling feature adjusts resources based on demand. A deployment can use autoscaling to scale resources as needed, ensuring sufficient capacity to meet workload requirements. In {{ece}}, {{eck}}, and {{ech}} deployments, autoscaling follows predefined policies, while in {{serverless-short}}, it is fully managed and automatic.
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% GitHub issue: https://github.com/elastic/docs-projects/issues/344
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:::{{tip}} - Serverless handles autoscaling for you
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By default, {{serverless-full}} automatically scales your {{es}} resources based on your usage. You don't need to enable autoscaling.
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:::
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% Scope notes: Creating a new landing page and subheadings/pages for different deployment types. Merge content when appropriate
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## Cluster autoscaling
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% Use migrated content from existing pages that map to this page:
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::::{admonition} Indirect use only
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This feature is designed for indirect use by {{ech}}, {{ece}}, and {{eck}}. Direct use is not supported.
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::::
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% - [ ] ./raw-migrated-files/cloud/cloud-heroku/ech-autoscaling.md
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% - [ ] ./raw-migrated-files/cloud/cloud-enterprise/ece-autoscaling.md
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% Notes: 2 children
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% - [ ] ./raw-migrated-files/elasticsearch/elasticsearch-reference/xpack-autoscaling.md
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Cluster autoscaling allows an operator to create tiers of nodes that monitor themselves and determine if scaling is needed based on an operator-defined policy. An Elasticsearch cluster can use the autoscaling API to report when additional resources are required. For example, an operator can define a policy that scales a warm tier based on available disk space. Elasticsearch monitors disk space in the warm tier. If it predicts low disk space for current and future shard copies, the autoscaling API reports that the cluster needs to scale. It remains the responsibility of the operator to add the additional resources that the cluster signals it requires.
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% Internal links rely on the following IDs being on this page (e.g. as a heading ID, paragraph ID, etc):
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A policy is composed of a list of roles and a list of deciders. The policy governs the nodes matching the roles. The deciders provide independent estimates of the capacity required. See [Autoscaling deciders](../deploy-manage/autoscaling/autoscaling-deciders.md) for details on available deciders.
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$$$ec-autoscaling-intro$$$
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Cluster autoscaling supports:
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* Scaling machine learning nodes up and down.
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* Scaling data nodes up based on storage.
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$$$ec-autoscaling-factors$$$
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## Trained model autoscaling
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:::{admonition} Trained model auto-scaling for self-managed deployments
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The available resources of self-managed deployments are static, so trained model autoscaling is not applicable. However, available resources are still segmented based on the settings described in this section.
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$$$ec-autoscaling-restrictions$$$
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Trained model autoscaling automatically adjusts the resources allocated to trained model deployments based on demand. This feature is available on all cloud deployments (ECE, ECK, ECH) and {{serverless-short}}. See [Trained model autoscaling](/deploy-manage/autoscaling/trained-model-autoscaling.md) for details.
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$$$ec-autoscaling-enable$$$
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Trained model autoscaling supports:
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* Scaling trained model deployments
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::::{note}
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Autoscaling is not supported on Debian 8.
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::::
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$$$ece-autoscaling-intro$$$
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Find instructions on setting up and managing autoscaling, including supported environments, configuration options, and examples:
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$$$ece-autoscaling-factors$$$
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$$$ece-autoscaling-notifications$$$
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**This page is a work in progress.** The documentation team is working to combine content pulled from the following pages:
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* [/raw-migrated-files/cloud/cloud-heroku/ech-autoscaling.md](/raw-migrated-files/cloud/cloud-heroku/ech-autoscaling.md)
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* [/raw-migrated-files/cloud/cloud/ec-autoscaling.md](/raw-migrated-files/cloud/cloud/ec-autoscaling.md)
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* [/raw-migrated-files/cloud/cloud-enterprise/ece-autoscaling.md](/raw-migrated-files/cloud/cloud-enterprise/ece-autoscaling.md)
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* [/raw-migrated-files/elasticsearch/elasticsearch-reference/xpack-autoscaling.md](/raw-migrated-files/elasticsearch/elasticsearch-reference/xpack-autoscaling.md)
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* [Autoscaling in {{ece}} and {{ech}}](/deploy-manage/autoscaling/autoscaling-in-ece-and-ech.md)
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* [Autoscaling in {{eck}}](/deploy-manage/autoscaling/autoscaling-in-eck.md)
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* [Autoscaling deciders](/deploy-manage/autoscaling/autoscaling-deciders.md)
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* [Trained model autoscaling](/deploy-manage/autoscaling/trained-model-autoscaling.md)

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