Add index pages to support heading clickability (#3837)
* Add index pages and reorganize content for header clickability Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Apply suggestions from code review Co-authored-by: Melissa Vagi <vagimeli@amazon.com> * Implemented doc review comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Punctuation fix Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Renamed to creating and tuning cluster Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Content planning dashboards index page Signed-off-by: vagimeli <vagimeli@amazon.com> * Add Dashboards index page Signed-off-by: vagimeli <vagimeli@amazon.com> * Add Dashboards index page Signed-off-by: vagimeli <vagimeli@amazon.com> * Add Dashboards index Signed-off-by: vagimeli <vagimeli@amazon.com> * Update _dashboards/index.md Co-authored-by: Heather Halter <HDHALTER@AMAZON.COM> Signed-off-by: Melissa Vagi <vagimeli@amazon.com> * Address doc feedback Signed-off-by: vagimeli <vagimeli@amazon.com> * Apply suggestions from code review Co-authored-by: Nathan Bower <nbower@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> * Implemented editorial comments Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> * Link fix Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> --------- Signed-off-by: Fanit Kolchina <kolchfa@amazon.com> Signed-off-by: vagimeli <vagimeli@amazon.com> Signed-off-by: Melissa Vagi <vagimeli@amazon.com> Signed-off-by: kolchfa-aws <105444904+kolchfa-aws@users.noreply.github.com> Co-authored-by: Melissa Vagi <vagimeli@amazon.com> Co-authored-by: Heather Halter <HDHALTER@AMAZON.COM> Co-authored-by: Nathan Bower <nbower@amazon.com>
This commit is contained in:
kolchfa-aws
GitHub
parent
56a55102a6
commit
2e369607e1
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@ -122,7 +122,7 @@ just_the_docs:
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name: Machine learning
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nav_fold: true
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tuning-your-cluster:
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name: Tuning your cluster
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name: Creating and tuning your cluster
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nav_fold: true
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monitoring-your-cluster:
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name: Monitoring your cluster
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|
|
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@ -0,0 +1,32 @@
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---
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layout: default
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title: OpenSearch Dashboards
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nav_order: 1
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has_children: false
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---
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# OpenSearch Dashboards
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OpenSearch Dashboards is the user interface that lets you visualize your OpenSearch data and run and scale your OpenSearch clusters.
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## Getting started
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| Concept | Description |
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|---------|-------------|
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| [OpenSearch Dashboards Quickstart]({{site.url}}{{site.baseurl}}/dashboards/quickstart-dashboards/) | Learn about the basic concepts and features of OpenSearch Dashboards. |
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| [OpenSearch Playground](https://playground.opensearch.org/app/home#/) | Explore features in OpenSearch Dashboards without downloading or installing anything. |
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| [Install and configure OpenSearch Dashboards]({{site.url}}{{site.baseurl}}/install-and-configure/install-dashboards/index/) | Get started with OpenSearch Dashboards. |
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| [Create visualizations]({{site.url}}{{site.baseurl}}/dashboards/visualize/viz-index/) | Learn about visualizing data in OpenSearch Dashboards. |
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| [Explore and query data]({{site.url}}{{site.baseurl}}/dashboards/discover/index-discover/) | Learn how to explore and query data in OpenSearch. |
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## Observability
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| Concept | Description |
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|---------|-------------|
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| [Observability in OpenSearch Dashboards]({{site.url}}{{site.baseurl}}//observing-your-data/index/) | Observe, monitor, and secure data and improve performance across tools and workflows. |
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## Dev Tools
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| Concept | Description |
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|---------|-------------|
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| [Dev Tools]({{site.url}}{{site.baseurl}}/dashboards/dev-tools/index-dev/) | Learn how to run OpenSearch queries in an integrated console. |
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@ -1,13 +1,13 @@
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---
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layout: default
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title: Quickstart guide for OpenSearch Dashboards
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nav_order: 10
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title: Quickstart guide
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nav_order: 2
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has_children: false
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redirect_from:
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- /dashboards/index/
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- /dashboards/quickstart-dashboards/
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---
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# Quickstart guide for OpenSearch Dashboards
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# Quickstart guide
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This quickstart guide covers the core concepts that you need to understand to get started with OpenSearch Dashboards. You'll learn how to:
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@ -9,7 +9,7 @@ grand_parent: Supported field types
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# Flat object field type
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In OpenSearch, you don't have to specify a mapping before indexing documents. If you don't specify a mapping, OpenSearch uses [dynamic mapping]({{site.url}}{{site.baseurl}}/field-types/mappings#dynamic-mapping) to map every field and its subfields in the document automatically. When you ingest documents such as logs, you may not know every field's subfield name and type in advance. In this case, dynamically mapping all new subfields can quickly lead to a "mapping explosion," where the growing number of fields may degrade the performance of your cluster.
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In OpenSearch, you don't have to specify a mapping before indexing documents. If you don't specify a mapping, OpenSearch uses [dynamic mapping]({{site.url}}{{site.baseurl}}/field-types/index#dynamic-mapping) to map every field and its subfields in the document automatically. When you ingest documents such as logs, you may not know every field's subfield name and type in advance. In this case, dynamically mapping all new subfields can quickly lead to a "mapping explosion," where the growing number of fields may degrade the performance of your cluster.
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The flat object field type solves this problem by treating the entire JSON object as a string. Subfields within the JSON object are accessible using standard dot path notation, but they are not indexed for fast lookup.
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|
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@ -1,183 +1,157 @@
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---
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layout: default
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title: Supported field types
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nav_order: 80
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has_children: true
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has_toc: false
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redirect_from:
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- /opensearch/supported-field-types/
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- //opensearch/supported-field-types/index/
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title: Mappings and field types
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nav_order: 1
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redirect_from:
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- /opensearch/mappings/
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---
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# Supported field types
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# Mappings and field types
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You can specify data types for your fields when creating a mapping. The following table lists all data field types that OpenSearch supports.
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You can define how documents and their fields are stored and indexed by creating a _mapping_. The mapping specifies the list of fields for a document. Every field in the document has a _field type_, which corresponds to the type of data the field contains. For example, you may want to specify that the `year` field should be of type `date`. To learn more, see [Supported field types]({{site.url}}{{site.baseurl}}/field-types/supported-field-types/index/).
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Field data type | Description
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:--- | :---
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[`alias`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/alias/) | An additional name for an existing field.
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[`binary`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/binary/) | A binary value in Base64 encoding.
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[Numeric]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/numeric/) | `byte`, `double`, `float`, `half_float`, `integer`, `long`, `scaled_float`, `short`.
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[`boolean`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/boolean/) | A Boolean value.
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[`date`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/date/) | A date value as a formatted string, a long value, or an integer.
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[`ip`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/ip/) | An IP address in IPv4 or IPv6 format.
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[Range]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/range/) | `integer_range`, `long_range`,`double_range`, `float_range`, `date_range`,`ip_range`.
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[Object]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/object/) | `object`, `nested`, `flat_object`, `join`.
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String | [`keyword`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/keyword/), [`text`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/text/), [`token_count`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/token-count/).
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[Autocomplete]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/autocomplete/) | `completion`, `search_as_you_type`.
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[Geographic]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/geographic/) | `geo_point`, `geo_shape`.
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[Rank]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/rank/) | `rank_feature`, `rank_features`.
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[`percolator`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/percolator/) | Specifies to treat this field as a query.
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If you're just starting to build out your cluster and data, you may not know exactly how your data should be stored. In those cases, you can use dynamic mappings, which tell OpenSearch to dynamically add data and its fields. However, if you know exactly what types your data falls under and want to enforce that standard, then you can use explicit mappings.
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## Arrays
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For example, if you want to indicate that `year` should be of type `text` instead of an `integer`, and `age` should be an `integer`, you can do so with explicit mappings. By using dynamic mapping, OpenSearch might interpret both `year` and `age` as integers.
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There is no dedicated array field type in OpenSearch. Instead, you can pass an array of values into any field. All values in the array must have the same field type.
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This section provides an example for how to create an index mapping and how to add a document to it that will get ip_range validated.
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#### Table of contents
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1. TOC
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{:toc}
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---
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## Dynamic mapping
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When you index a document, OpenSearch adds fields automatically with dynamic mapping. You can also explicitly add fields to an index mapping.
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#### Dynamic mapping types
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Type | Description
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:--- | :---
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null | A `null` field can't be indexed or searched. When a field is set to null, OpenSearch behaves as if that field has no values.
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boolean | OpenSearch accepts `true` and `false` as boolean values. An empty string is equal to `false.`
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float | A single-precision 32-bit floating point number.
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double | A double-precision 64-bit floating point number.
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integer | A signed 32-bit number.
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object | Objects are standard JSON objects, which can have fields and mappings of their own. For example, a `movies` object can have additional properties such as `title`, `year`, and `director`.
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array | Arrays in OpenSearch can only store values of one type, such as an array of just integers or strings. Empty arrays are treated as though they are fields with no values.
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text | A string sequence of characters that represent full-text values.
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keyword | A string sequence of structured characters, such as an email address or ZIP code.
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date detection string | Enabled by default, if new string fields match a date's format, then the string is processed as a `date` field. For example, `date: "2012/03/11"` is processed as a date.
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numeric detection string | If disabled, OpenSearch may automatically process numeric values as strings when they should be processed as numbers. When enabled, OpenSearch can process strings into `long`, `integer`, `short`, `byte`, `double`, `float`, `half_float`, `scaled_float`, and `unsigned_long`. Default is disabled.
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## Explicit mapping
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If you know exactly what your field data types need to be, you can specify them in your request body when creating your index.
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```json
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PUT testindex1/_doc/1
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{
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"number": 1
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}
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PUT testindex1/_doc/2
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{
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"number": [1, 2, 3]
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}
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```
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|
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## Multifields
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Multifields are used to index the same field differently. Strings are often mapped as `text` for full-text queries and `keyword` for exact-value queries.
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Multifields can be created using the `fields` parameter. For example, you can map a book `title` to be of type `text` and keep a `title.raw` subfield of type `keyword`.
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```json
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PUT books
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{
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"mappings" : {
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"properties" : {
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"title" : {
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"type" : "text",
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"fields" : {
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"raw" : {
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"type" : "keyword"
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}
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}
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}
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}
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}
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}
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```
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## Null value
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Setting a field's value to `null`, an empty array or an array of `null` values makes this field equivalent to an empty field. Therefore, you cannot search for documents that have `null` in this field.
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To make a field searchable for `null` values, you can specify its `null_value` parameter in the index's mappings. Then, all `null` values passed to this field will be replaced with the specified `null_value`.
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The `null_value` parameter must be of the same type as the field. For example, if your field is a string, the `null_value` for this field must also be a string.
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{: .note}
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### Example
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|
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Create a mapping to replace `null` values in the `emergency_phone` field with the string "NONE":
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||||
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||||
```json
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||||
PUT testindex
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PUT sample-index1
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||||
{
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||||
"mappings": {
|
||||
"properties": {
|
||||
"name": {
|
||||
"type": "keyword"
|
||||
},
|
||||
"emergency_phone": {
|
||||
"type": "keyword",
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"null_value": "NONE"
|
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"year": { "type" : "text" },
|
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"age": { "type" : "integer" },
|
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"director":{ "type" : "text" }
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Response
|
||||
```json
|
||||
{
|
||||
"acknowledged": true,
|
||||
"shards_acknowledged": true,
|
||||
"index": "sample-index1"
|
||||
}
|
||||
```
|
||||
|
||||
To add mappings to an existing index or data stream, you can send a request to the `_mapping` endpoint using the `PUT` or `POST` HTTP method:
|
||||
|
||||
```json
|
||||
POST sample-index1/_mapping
|
||||
{
|
||||
"properties": {
|
||||
"year": { "type" : "text" },
|
||||
"age": { "type" : "integer" },
|
||||
"director":{ "type" : "text" }
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
You cannot change the mapping of an existing field, you can only modify the field's mapping parameters.
|
||||
{: .note}
|
||||
|
||||
---
|
||||
## Mapping example usage
|
||||
|
||||
The following example shows how to create a mapping to specify that OpenSearch should ignore any documents with malformed IP addresses that do not conform to the [`ip`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/ip/) data type. You accomplish this by setting the `ignore_malformed` parameter to `true`.
|
||||
|
||||
### Create an index with an `ip` mapping
|
||||
|
||||
To create an index, use a PUT request:
|
||||
|
||||
```json
|
||||
PUT /test-index
|
||||
{
|
||||
"mappings" : {
|
||||
"properties" : {
|
||||
"ip_address" : {
|
||||
"type" : "ip",
|
||||
"ignore_malformed": true
|
||||
}
|
||||
}
|
||||
}
|
||||
}
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||||
```
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||||
|
||||
Index three documents into testindex. The `emergency_phone` fields of documents 1 and 3 contain `null`, while the `emergency_phone` field of document 2 has an empty array:
|
||||
You can add a document that has a malformed IP address to your index:
|
||||
|
||||
```json
|
||||
PUT testindex/_doc/1
|
||||
PUT /test-index/_doc/1
|
||||
{
|
||||
"name": "Akua Mansa",
|
||||
"emergency_phone": null
|
||||
"ip_address" : "malformed ip address"
|
||||
}
|
||||
```
|
||||
|
||||
This indexed IP address does not throw an error because `ignore_malformed` is set to true.
|
||||
|
||||
You can query the index using the following request:
|
||||
|
||||
```json
|
||||
PUT testindex/_doc/2
|
||||
{
|
||||
"name": "Diego Ramirez",
|
||||
"emergency_phone" : []
|
||||
}
|
||||
GET /test-index/_search
|
||||
```
|
||||
|
||||
```json
|
||||
PUT testindex/_doc/3
|
||||
{
|
||||
"name": "Jane Doe",
|
||||
"emergency_phone": [null, null]
|
||||
}
|
||||
```
|
||||
|
||||
Search for people who do not have an emergency phone:
|
||||
|
||||
```json
|
||||
GET testindex/_search
|
||||
{
|
||||
"query": {
|
||||
"term": {
|
||||
"emergency_phone": "NONE"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
The response contains documents 1 and 3 but not document 2 because only explicit `null` values are replaced with the string "NONE":
|
||||
The response shows that the `ip_address` field is ignored in the indexed document:
|
||||
|
||||
```json
|
||||
{
|
||||
"took" : 1,
|
||||
"timed_out" : false,
|
||||
"_shards" : {
|
||||
"total" : 1,
|
||||
"successful" : 1,
|
||||
"skipped" : 0,
|
||||
"failed" : 0
|
||||
"took": 14,
|
||||
"timed_out": false,
|
||||
"_shards": {
|
||||
"total": 1,
|
||||
"successful": 1,
|
||||
"skipped": 0,
|
||||
"failed": 0
|
||||
},
|
||||
"hits" : {
|
||||
"total" : {
|
||||
"value" : 2,
|
||||
"relation" : "eq"
|
||||
"hits": {
|
||||
"total": {
|
||||
"value": 1,
|
||||
"relation": "eq"
|
||||
},
|
||||
"max_score" : 0.18232156,
|
||||
"hits" : [
|
||||
"max_score": 1,
|
||||
"hits": [
|
||||
{
|
||||
"_index" : "testindex",
|
||||
"_type" : "_doc",
|
||||
"_id" : "1",
|
||||
"_score" : 0.18232156,
|
||||
"_source" : {
|
||||
"name" : "Akua Mansa",
|
||||
"emergency_phone" : null
|
||||
}
|
||||
},
|
||||
{
|
||||
"_index" : "testindex",
|
||||
"_type" : "_doc",
|
||||
"_id" : "3",
|
||||
"_score" : 0.18232156,
|
||||
"_source" : {
|
||||
"name" : "Jane Doe",
|
||||
"emergency_phone" : [
|
||||
null,
|
||||
null
|
||||
]
|
||||
"_index": "test-index",
|
||||
"_id": "1",
|
||||
"_score": 1,
|
||||
"_ignored": [
|
||||
"ip_address"
|
||||
],
|
||||
"_source": {
|
||||
"ip_address": "malformed ip address"
|
||||
}
|
||||
}
|
||||
]
|
||||
|
|
@ -185,5 +159,60 @@ The response contains documents 1 and 3 but not document 2 because only explicit
|
|||
}
|
||||
```
|
||||
|
||||
The `_source` field still contains explicit `null` values because it is not affected by the `null_value`.
|
||||
{: .note}
|
||||
## Get a mapping
|
||||
|
||||
To get all mappings for one or more indexes, use the following request:
|
||||
|
||||
```json
|
||||
GET <index>/_mapping
|
||||
```
|
||||
|
||||
In the above request, `<index>` may be an index name or a comma-separated list of index names.
|
||||
|
||||
To get all mappings for all indexes, use the following request:
|
||||
|
||||
```json
|
||||
GET _mapping
|
||||
```
|
||||
|
||||
To get a mapping for a specific field, provide the index name and the field name:
|
||||
|
||||
```json
|
||||
GET _mapping/field/<fields>
|
||||
GET /<index>/_mapping/field/<fields>
|
||||
```
|
||||
|
||||
Both `<index>` and `<fields>` can be specified as one value or a comma-separated list.
|
||||
|
||||
For example, the following request retrieves the mapping for the `year` and `age` fields in `sample-index1`:
|
||||
|
||||
```json
|
||||
GET sample-index1/_mapping/field/year,age
|
||||
```
|
||||
|
||||
The response contains the specified fields:
|
||||
|
||||
```json
|
||||
{
|
||||
"sample-index1" : {
|
||||
"mappings" : {
|
||||
"year" : {
|
||||
"full_name" : "year",
|
||||
"mapping" : {
|
||||
"year" : {
|
||||
"type" : "text"
|
||||
}
|
||||
}
|
||||
},
|
||||
"age" : {
|
||||
"full_name" : "age",
|
||||
"mapping" : {
|
||||
"age" : {
|
||||
"type" : "integer"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
|
@ -1,218 +0,0 @@
|
|||
---
|
||||
layout: default
|
||||
title: Mapping
|
||||
nav_order: 13
|
||||
redirect_from:
|
||||
- /opensearch/mappings/
|
||||
---
|
||||
|
||||
# Mapping
|
||||
|
||||
You can define how documents and their fields are stored and indexed by creating a mapping.
|
||||
|
||||
If you're just starting to build out your cluster and data, you may not know exactly how your data should be stored. In those cases, you can use dynamic mappings, which tell OpenSearch to dynamically add data and its fields. However, if you know exactly what types your data falls under and want to enforce that standard, then you can use explicit mappings.
|
||||
|
||||
For example, if you want to indicate that `year` should be of type `text` instead of an `integer`, and `age` should be an `integer`, you can do so with explicit mappings. Using dynamic mapping OpenSearch might interpret both `year` and `age` as integers.
|
||||
|
||||
This section provides an example for how to create an index mapping, and how to add a document to it that will get ip_range validated.
|
||||
|
||||
#### Table of contents
|
||||
1. TOC
|
||||
{:toc}
|
||||
|
||||
|
||||
---
|
||||
## Dynamic mapping
|
||||
|
||||
When you index a document, OpenSearch adds fields automatically with dynamic mapping. You can also explicitly add fields to an index mapping.
|
||||
|
||||
#### Dynamic mapping types
|
||||
|
||||
Type | Description
|
||||
:--- | :---
|
||||
null | A `null` field can't be indexed or searched. When a field is set to null, OpenSearch behaves as if that field has no values.
|
||||
boolean | OpenSearch accepts `true` and `false` as boolean values. An empty string is equal to `false.`
|
||||
float | A single-precision 32-bit floating point number.
|
||||
double | A double-precision 64-bit floating point number.
|
||||
integer | A signed 32-bit number.
|
||||
object | Objects are standard JSON objects, which can have fields and mappings of their own. For example, a `movies` object can have additional properties such as `title`, `year`, and `director`.
|
||||
array | Arrays in OpenSearch can only store values of one type, such as an array of just integers or strings. Empty arrays are treated as though they are fields with no values.
|
||||
text | A string sequence of characters that represent full-text values.
|
||||
keyword | A string sequence of structured characters, such as an email address or ZIP code.
|
||||
date detection string | Enabled by default, if new string fields match a date's format, then the string is processed as a `date` field. For example, `date: "2012/03/11"` is processed as a date.
|
||||
numeric detection string | If disabled, OpenSearch may automatically process numeric values as strings when they should be processed as numbers. When enabled, OpenSearch can process strings into `long`, `integer`, `short`, `byte`, `double`, `float`, `half_float`, `scaled_float`, and `unsigned_long`. Default is disabled.
|
||||
|
||||
## Explicit mapping
|
||||
|
||||
If you know exactly what your field data types need to be, you can specify them in your request body when creating your index.
|
||||
|
||||
```json
|
||||
PUT sample-index1
|
||||
{
|
||||
"mappings": {
|
||||
"properties": {
|
||||
"year": { "type" : "text" },
|
||||
"age": { "type" : "integer" },
|
||||
"director":{ "type" : "text" }
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Response
|
||||
```json
|
||||
{
|
||||
"acknowledged": true,
|
||||
"shards_acknowledged": true,
|
||||
"index": "sample-index1"
|
||||
}
|
||||
```
|
||||
|
||||
To add mappings to an existing index or data stream, you can send a request to the `_mapping` endpoint using the `PUT` or `POST` HTTP method:
|
||||
|
||||
```json
|
||||
POST sample-index1/_mapping
|
||||
{
|
||||
"properties": {
|
||||
"year": { "type" : "text" },
|
||||
"age": { "type" : "integer" },
|
||||
"director":{ "type" : "text" }
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
You cannot change the mapping of an existing field, you can only modify the field's mapping parameters.
|
||||
{: .note}
|
||||
|
||||
---
|
||||
## Mapping example usage
|
||||
|
||||
The following example shows how to create a mapping to specify that OpenSearch should ignore any documents with malformed IP addresses that do not conform to the [`ip`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/ip/) data type. You accomplish this by setting the `ignore_malformed` parameter to `true`.
|
||||
|
||||
### Create an index with an `ip` mapping
|
||||
|
||||
To create an index, use a PUT request:
|
||||
|
||||
```json
|
||||
PUT /test-index
|
||||
{
|
||||
"mappings" : {
|
||||
"properties" : {
|
||||
"ip_address" : {
|
||||
"type" : "ip",
|
||||
"ignore_malformed": true
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
You can add a document that has a malformed IP address to your index:
|
||||
|
||||
```json
|
||||
PUT /test-index/_doc/1
|
||||
{
|
||||
"ip_address" : "malformed ip address"
|
||||
}
|
||||
```
|
||||
|
||||
This indexed IP address does not throw an error because `ignore_malformed` is set to true.
|
||||
|
||||
You can query the index using the following request:
|
||||
|
||||
```json
|
||||
GET /test-index/_search
|
||||
```
|
||||
|
||||
The response shows that the `ip_address` field is ignored in the indexed document:
|
||||
|
||||
```json
|
||||
{
|
||||
"took": 14,
|
||||
"timed_out": false,
|
||||
"_shards": {
|
||||
"total": 1,
|
||||
"successful": 1,
|
||||
"skipped": 0,
|
||||
"failed": 0
|
||||
},
|
||||
"hits": {
|
||||
"total": {
|
||||
"value": 1,
|
||||
"relation": "eq"
|
||||
},
|
||||
"max_score": 1,
|
||||
"hits": [
|
||||
{
|
||||
"_index": "test-index",
|
||||
"_id": "1",
|
||||
"_score": 1,
|
||||
"_ignored": [
|
||||
"ip_address"
|
||||
],
|
||||
"_source": {
|
||||
"ip_address": "malformed ip address"
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Get a mapping
|
||||
|
||||
To get all mappings for one or more indexes, use the following request:
|
||||
|
||||
```json
|
||||
GET <index>/_mapping
|
||||
```
|
||||
|
||||
In the above request, `<index>` may be an index name or a comma-separated list of index names.
|
||||
|
||||
To get all mappings for all indexes, use the following request:
|
||||
|
||||
```json
|
||||
GET _mapping
|
||||
```
|
||||
|
||||
To get a mapping for a specific field, provide the index name and the field name:
|
||||
|
||||
```json
|
||||
GET _mapping/field/<fields>
|
||||
GET /<index>/_mapping/field/<fields>
|
||||
```
|
||||
|
||||
Both `<index>` and `<fields>` can be specified as one value or a comma-separated list.
|
||||
|
||||
For example, the following request retrieves the mapping for the `year` and `age` fields in `sample-index1`:
|
||||
|
||||
```json
|
||||
GET sample-index1/_mapping/field/year,age
|
||||
```
|
||||
|
||||
The response contains the specified fields:
|
||||
|
||||
```json
|
||||
{
|
||||
"sample-index1" : {
|
||||
"mappings" : {
|
||||
"year" : {
|
||||
"full_name" : "year",
|
||||
"mapping" : {
|
||||
"year" : {
|
||||
"type" : "text"
|
||||
}
|
||||
}
|
||||
},
|
||||
"age" : {
|
||||
"full_name" : "age",
|
||||
"mapping" : {
|
||||
"age" : {
|
||||
"type" : "integer"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
|
@ -6,6 +6,7 @@ has_children: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/alias/
|
||||
- /field-types/alias/
|
||||
---
|
||||
|
||||
# Alias field type
|
||||
|
|
@ -7,6 +7,7 @@ has_toc: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/autocomplete/
|
||||
- /field-types/autocomplete/
|
||||
---
|
||||
|
||||
# Autocomplete field types
|
||||
|
|
@ -6,6 +6,7 @@ nav_order: 12
|
|||
has_children: false
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/binary/
|
||||
- /field-types/binary/
|
||||
---
|
||||
|
||||
# Binary field type
|
||||
|
|
@ -6,6 +6,7 @@ has_children: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/boolean/
|
||||
- /field-types/boolean/
|
||||
---
|
||||
|
||||
# Boolean field type
|
||||
|
|
@ -7,6 +7,7 @@ parent: Autocomplete field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/completion/
|
||||
- /field-types/completion/
|
||||
---
|
||||
|
||||
# Completion field type
|
||||
|
|
@ -6,6 +6,7 @@ has_children: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/date/
|
||||
- /field-types/date/
|
||||
---
|
||||
|
||||
# Date field type
|
||||
|
|
@ -7,6 +7,7 @@ parent: Geographic field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/geo-point/
|
||||
- /field-types/geo-point/
|
||||
---
|
||||
|
||||
# Geopoint field type
|
||||
|
|
@ -7,6 +7,7 @@ parent: Geographic field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/geo-shape/
|
||||
- /field-types/geo-shape/
|
||||
---
|
||||
|
||||
# Geoshape field type
|
||||
|
|
@ -7,6 +7,7 @@ has_toc: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/geographic/
|
||||
- /field-types/geographic/
|
||||
---
|
||||
|
||||
# Geographic field types
|
||||
|
|
@ -0,0 +1,189 @@
|
|||
---
|
||||
layout: default
|
||||
title: Supported field types
|
||||
nav_order: 80
|
||||
has_children: true
|
||||
has_toc: false
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/
|
||||
- /opensearch/supported-field-types/index/
|
||||
---
|
||||
|
||||
# Supported field types
|
||||
|
||||
You can specify data types for your fields when creating a mapping. The following table lists all data field types that OpenSearch supports.
|
||||
|
||||
Field data type | Description
|
||||
:--- | :---
|
||||
[`alias`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/alias/) | An additional name for an existing field.
|
||||
[`binary`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/binary/) | A binary value in Base64 encoding.
|
||||
[Numeric]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/numeric/) | `byte`, `double`, `float`, `half_float`, `integer`, `long`, `scaled_float`, `short`.
|
||||
[`boolean`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/boolean/) | A Boolean value.
|
||||
[`date`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/date/) | A date value as a formatted string, a long value, or an integer.
|
||||
[`ip`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/ip/) | An IP address in IPv4 or IPv6 format.
|
||||
[Range]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/range/) | `integer_range`, `long_range`,`double_range`, `float_range`, `date_range`,`ip_range`.
|
||||
[Object]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/object/) | `object`, `nested`, `join`.
|
||||
String | [`keyword`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/keyword/), [`text`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/text/), [`token_count`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/token-count/).
|
||||
[Autocomplete]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/autocomplete/) | `completion`, `search_as_you_type`.
|
||||
[Geographic]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/geographic/) | `geo_point`, `geo_shape`.
|
||||
[Rank]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/rank/) | `rank_feature`, `rank_features`.
|
||||
[`percolator`]({{site.url}}{{site.baseurl}}/opensearch/supported-field-types/percolator/) | Specifies to treat this field as a query.
|
||||
|
||||
## Arrays
|
||||
|
||||
There is no dedicated array field type in OpenSearch. Instead, you can pass an array of values into any field. All values in the array must have the same field type.
|
||||
|
||||
```json
|
||||
PUT testindex1/_doc/1
|
||||
{
|
||||
"number": 1
|
||||
}
|
||||
|
||||
PUT testindex1/_doc/2
|
||||
{
|
||||
"number": [1, 2, 3]
|
||||
}
|
||||
```
|
||||
|
||||
## Multifields
|
||||
|
||||
Multifields are used to index the same field differently. Strings are often mapped as `text` for full-text queries and `keyword` for exact-value queries.
|
||||
|
||||
Multifields can be created using the `fields` parameter. For example, you can map a book `title` to be of type `text` and keep a `title.raw` subfield of type `keyword`.
|
||||
|
||||
```json
|
||||
PUT books
|
||||
{
|
||||
"mappings" : {
|
||||
"properties" : {
|
||||
"title" : {
|
||||
"type" : "text",
|
||||
"fields" : {
|
||||
"raw" : {
|
||||
"type" : "keyword"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Null value
|
||||
|
||||
Setting a field's value to `null`, an empty array, or an array of `null` values makes this field equivalent to an empty field. Therefore, you cannot search for documents that have `null` in this field.
|
||||
|
||||
To make a field searchable for `null` values, you can specify its `null_value` parameter in the index's mappings. Then, all `null` values passed to this field will be replaced with the specified `null_value`.
|
||||
|
||||
The `null_value` parameter must be of the same type as the field. For example, if your field is a string, the `null_value` for this field must also be a string.
|
||||
{: .note}
|
||||
|
||||
### Example
|
||||
|
||||
Create a mapping to replace `null` values in the `emergency_phone` field with the string "NONE":
|
||||
|
||||
```json
|
||||
PUT testindex
|
||||
{
|
||||
"mappings": {
|
||||
"properties": {
|
||||
"name": {
|
||||
"type": "keyword"
|
||||
},
|
||||
"emergency_phone": {
|
||||
"type": "keyword",
|
||||
"null_value": "NONE"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
Index three documents into testindex. The `emergency_phone` fields of documents 1 and 3 contain `null`, while the `emergency_phone` field of document 2 has an empty array:
|
||||
|
||||
```json
|
||||
PUT testindex/_doc/1
|
||||
{
|
||||
"name": "Akua Mansa",
|
||||
"emergency_phone": null
|
||||
}
|
||||
```
|
||||
|
||||
```json
|
||||
PUT testindex/_doc/2
|
||||
{
|
||||
"name": "Diego Ramirez",
|
||||
"emergency_phone" : []
|
||||
}
|
||||
```
|
||||
|
||||
```json
|
||||
PUT testindex/_doc/3
|
||||
{
|
||||
"name": "Jane Doe",
|
||||
"emergency_phone": [null, null]
|
||||
}
|
||||
```
|
||||
|
||||
Search for people who do not have an emergency phone:
|
||||
|
||||
```json
|
||||
GET testindex/_search
|
||||
{
|
||||
"query": {
|
||||
"term": {
|
||||
"emergency_phone": "NONE"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
The response contains documents 1 and 3 but not document 2 because only explicit `null` values are replaced with the string "NONE":
|
||||
|
||||
```json
|
||||
{
|
||||
"took" : 1,
|
||||
"timed_out" : false,
|
||||
"_shards" : {
|
||||
"total" : 1,
|
||||
"successful" : 1,
|
||||
"skipped" : 0,
|
||||
"failed" : 0
|
||||
},
|
||||
"hits" : {
|
||||
"total" : {
|
||||
"value" : 2,
|
||||
"relation" : "eq"
|
||||
},
|
||||
"max_score" : 0.18232156,
|
||||
"hits" : [
|
||||
{
|
||||
"_index" : "testindex",
|
||||
"_type" : "_doc",
|
||||
"_id" : "1",
|
||||
"_score" : 0.18232156,
|
||||
"_source" : {
|
||||
"name" : "Akua Mansa",
|
||||
"emergency_phone" : null
|
||||
}
|
||||
},
|
||||
{
|
||||
"_index" : "testindex",
|
||||
"_type" : "_doc",
|
||||
"_id" : "3",
|
||||
"_score" : 0.18232156,
|
||||
"_source" : {
|
||||
"name" : "Jane Doe",
|
||||
"emergency_phone" : [
|
||||
null,
|
||||
null
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
The `_source` field still contains explicit `null` values because it is not affected by the `null_value`.
|
||||
{: .note}
|
||||
|
|
@ -6,6 +6,7 @@ has_children: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/ip/
|
||||
- /field-types/ip/
|
||||
---
|
||||
|
||||
# IP address field type
|
||||
|
|
@ -7,6 +7,7 @@ parent: Object field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/join/
|
||||
- /field-types/join/
|
||||
---
|
||||
|
||||
# Join field type
|
||||
|
|
@ -7,6 +7,7 @@ parent: String field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/keyword/
|
||||
- /field-types/keyword/
|
||||
---
|
||||
|
||||
# Keyword field type
|
||||
|
|
@ -7,6 +7,7 @@ parent: Object field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/nested/
|
||||
- /field-types/nested/
|
||||
---
|
||||
|
||||
# Nested field type
|
||||
|
|
@ -6,6 +6,7 @@ nav_order: 15
|
|||
has_children: false
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/numeric/
|
||||
- /field-types/numeric/
|
||||
---
|
||||
|
||||
# Numeric field types
|
||||
|
|
@ -5,6 +5,9 @@ nav_order: 40
|
|||
has_children: true
|
||||
has_toc: false
|
||||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/object-fields/
|
||||
- /field-types/object-fields/
|
||||
---
|
||||
|
||||
# Object field types
|
||||
|
|
@ -7,6 +7,7 @@ parent: Object field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/object/
|
||||
- /field-types/object/
|
||||
---
|
||||
|
||||
# Object field type
|
||||
|
|
@ -6,6 +6,7 @@ has_children: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/percolator/
|
||||
- /field-types/percolator/
|
||||
---
|
||||
|
||||
# Percolator field type
|
||||
|
|
@ -6,6 +6,7 @@ has_children: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/range/
|
||||
- /field-types/range/
|
||||
---
|
||||
|
||||
# Range field types
|
||||
|
|
@ -6,6 +6,7 @@ has_children: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/rank/
|
||||
- /field-types/rank/
|
||||
---
|
||||
|
||||
# Rank field types
|
||||
|
|
@ -7,6 +7,7 @@ parent: Autocomplete field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/search-as-you-type/
|
||||
- /field-types/search-as-you-type/
|
||||
---
|
||||
|
||||
# Search-as-you-type field type
|
||||
|
|
@ -7,6 +7,7 @@ has_toc: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/string/
|
||||
- /field-types/string/
|
||||
---
|
||||
|
||||
# String field types
|
||||
|
|
@ -7,6 +7,7 @@ parent: String field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/text/
|
||||
- /field-types/text/
|
||||
---
|
||||
|
||||
# Text field type
|
||||
|
|
@ -7,6 +7,7 @@ parent: String field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/token-count/
|
||||
- /field-types/token-count/
|
||||
---
|
||||
|
||||
# Token count field type
|
||||
|
|
@ -7,6 +7,7 @@ parent: Cartesian field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/xy-point/
|
||||
- /field-types/xy-point/
|
||||
---
|
||||
|
||||
# xy point field type
|
||||
|
|
@ -7,6 +7,7 @@ parent: Cartesian field types
|
|||
grand_parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/xy-shape/
|
||||
- /field-types/xy-shape/
|
||||
---
|
||||
|
||||
# xy shape field type
|
||||
|
|
@ -7,6 +7,7 @@ has_toc: false
|
|||
parent: Supported field types
|
||||
redirect_from:
|
||||
- /opensearch/supported-field-types/xy/
|
||||
- /field-types/xy/
|
||||
---
|
||||
|
||||
# Cartesian field types
|
||||
|
|
@ -0,0 +1,29 @@
|
|||
---
|
||||
layout: default
|
||||
title: Install and upgrade OpenSearch
|
||||
nav_order: 1
|
||||
has_children: false
|
||||
has_toc: false
|
||||
---
|
||||
|
||||
# Install and upgrade OpenSearch
|
||||
|
||||
OpenSearch and OpenSearch Dashboards are available on any compatible host that supports Docker (such as Linux, MacOS, or Windows). Additionally, you can install both products on various Linux distributions and on Windows.
|
||||
|
||||
[Download OpenSearch](https://opensearch.org/downloads.html) for your preferred platform and then choose one of the following installation guides.
|
||||
|
||||
| OpenSearch | OpenSearch Dashboards |
|
||||
| :--- | :--- |
|
||||
| [Docker]({{site.url}}{{site.baseurl}}/install-and-configure/install-opensearch/docker/) | [Docker]({{site.url}}{{site.baseurl}}/install-and-configure/install-dashboards/docker/) |
|
||||
| [Helm]({{site.url}}{{site.baseurl}}/install-and-configure/install-opensearch/helm/) | [Helm]({{site.url}}{{site.baseurl}}/install-and-configure/install-dashboards/helm/) |
|
||||
| [Tarball]({{site.url}}{{site.baseurl}}/install-and-configure/install-opensearch/tar/) | [Tarball]({{site.url}}{{site.baseurl}}/install-and-configure/install-dashboards/tar/) |
|
||||
| [RPM]({{site.url}}{{site.baseurl}}/install-and-configure/install-opensearch/rpm/) | [RPM]({{site.url}}{{site.baseurl}}/install-and-configure/install-dashboards/rpm/) |
|
||||
| [Debian]({{site.url}}{{site.baseurl}}/install-and-configure/install-opensearch/debian/) | [Debian]({{site.url}}{{site.baseurl}}/install-and-configure/install-dashboards/debian/) |
|
||||
| [Ansible playbook]({{site.url}}{{site.baseurl}}/install-and-configure/install-opensearch/ansible/) | |
|
||||
| [Windows]({{site.url}}{{site.baseurl}}/install-and-configure/install-opensearch/windows/) | [Windows]({{site.url}}{{site.baseurl}}/install-and-configure/install-dashboards/windows/) |
|
||||
|
||||
After you've installed OpenSearch, learn about [configuring]({{site.url}}{{site.baseurl}}/install-and-configure/configuration/) it for your deployment.
|
||||
|
||||
For more information about upgrading your OpenSearch cluster, see the [upgrade guide]({{site.url}}{{site.baseurl}}/install-and-configure/upgrade-opensearch/index/).
|
||||
|
||||
For plugin installation, see [Installing plugins]({{site.url}}{{site.baseurl}}/install-and-configure/plugins/).
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
---
|
||||
layout: default
|
||||
title: Monitoring your cluster
|
||||
nav_order: 1
|
||||
has_children: false
|
||||
has_toc: false
|
||||
---
|
||||
|
||||
# Monitoring your cluster
|
||||
|
||||
OpenSearch provides several ways for you to monitor your cluster health and performance and automate common tasks:
|
||||
|
||||
- The OpenSearch [logs]({{site.url}}{{site.baseurl}}/monitoring-your-cluster/logs/) include valuable information for monitoring cluster operations and troubleshooting issues.
|
||||
|
||||
- [Performance analyzer]({{site.url}}{{site.baseurl}}/monitoring-your-cluster/pa/index/) is an agent and REST API that allows you to query numerous performance metrics for your cluster, including aggregations of those metrics.
|
||||
|
||||
- OpenSearch [Job Scheduler]({{site.url}}{{site.baseurl}}/monitoring-your-cluster/job-scheduler/index/) plugin provides a framework that you can use to build schedules for common cluster management tasks.
|
||||
|
|
@ -6,6 +6,7 @@ has_children: true
|
|||
permalink: /analyzers/text-analyzers/
|
||||
redirect_from:
|
||||
- /opensearch/query-dsl/text-analyzers/
|
||||
- /query-dsl/analyzers/text-analyzers/
|
||||
---
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,15 @@
|
|||
---
|
||||
layout: default
|
||||
title: Query DSL, aggregations, and analyzers
|
||||
nav_order: 1
|
||||
has_children: false
|
||||
has_toc: false
|
||||
---
|
||||
|
||||
# Query DSL, aggregations, and analyzers
|
||||
|
||||
[Analyzers]({{site.url}}{{site.baseurl}}/analyzers/text-analyzers/) process text to make it searchable. OpenSearch provides various analyzers that let you customize the way text is split into terms and converted into a structured format. To search documents written in a different language, you can use one of the built-in [language analyzers]({{site.url}}{{site.baseurl}}/query-dsl/analyzers/language-analyzers/) for your language of choice.
|
||||
|
||||
The most essential search function is using a query to return relevant documents. OpenSearch provides a search language called _query domain-specific language_ (DSL) that lets you build complex and targeted queries. Explore the [query DSL documentation]({{site.url}}{{site.baseurl}}/query-dsl/) to learn more about the different types of queries OpenSearch supports.
|
||||
|
||||
[Aggregations]({{site.url}}{{site.baseurl}}/aggregations/) let you categorize your data and analyze it to extract statistics. Use cases for aggregations include analyzing data in real time and using OpenSearch Dashboards to create visualizations.
|
||||
|
|
@ -0,0 +1,29 @@
|
|||
---
|
||||
layout: default
|
||||
title: Search
|
||||
nav_order: 1
|
||||
has_children: false
|
||||
has_toc: false
|
||||
---
|
||||
|
||||
# Search
|
||||
|
||||
OpenSearch provides several features for customizing your search use cases and improving search relevance. In OpenSearch, you can:
|
||||
|
||||
- Use [SQL and Piped Processing Language (PPL)]({{site.url}}{{site.baseurl}}/search-plugins/sql/) as alternatives to [query domain-specific language (DSL)]({{site.url}}{{site.baseurl}}/query-dsl/) to search data.
|
||||
|
||||
- Run resource-intensive queries asynchronously with [asynchronous search]({{site.url}}{{site.baseurl}}/search-plugins/async/).
|
||||
|
||||
- Search for k-nearest neighbors with [k-NN search]({{site.url}}{{site.baseurl}}/search-plugins/knn/).
|
||||
|
||||
- Abstract OpenSearch queries into [search templates]({{site.url}}{{site.baseurl}}/search-plugins/search-template/).
|
||||
|
||||
- Integrate machine learning (ML) language models into your search workloads with [neural search]({{site.url}}{{site.baseurl}}/search-plugins/neural-search/).
|
||||
|
||||
- [Compare search results]({{site.url}}{{site.baseurl}}/search-plugins/search-relevance/) to tune search relevance.
|
||||
|
||||
- Use a dataset that is fixed in time to paginate results with [Point in Time]({{site.url}}{{site.baseurl}}/search-plugins/point-in-time/).
|
||||
|
||||
- [Paginate]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/paginate) and [sort]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/sort/) search results, [highlight]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/highlight/) search terms, and use the [autocomplete]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/autocomplete/) and [did-you-mean]({{site.url}}{{site.baseurl}}/search-plugins/searching-data/did-you-mean/) functionality.
|
||||
|
||||
- Rewrite queries with [Querqy]({{site.url}}{{site.baseurl}}/search-plugins/querqy).
|
||||
|
|
@ -1,9 +1,10 @@
|
|||
---
|
||||
layout: default
|
||||
title: Creating a cluster
|
||||
nav_order: 8
|
||||
nav_order: 1
|
||||
redirect_from:
|
||||
- /opensearch/cluster/
|
||||
- /tuning-your-cluster/cluster/
|
||||
---
|
||||
|
||||
# Creating a cluster
|
||||
Loading…
Reference in New Issue