273 lines
7.7 KiB
Plaintext
273 lines
7.7 KiB
Plaintext
[[mapping]]
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= Mapping
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[partintro]
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--
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Mapping is the process of defining how a document, and the fields it contains,
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are stored and indexed. For instance, use mappings to define:
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* which string fields should be treated as full text fields.
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* which fields contain numbers, dates, or geolocations.
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* the <<mapping-date-format,format>> of date values.
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* custom rules to control the mapping for
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<<dynamic-mapping,dynamically added fields>>.
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[float]
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[[mapping-type]]
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== Mapping Type
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Each index has one _mapping type_ which determines how the document will be
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indexed.
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deprecated::[6.0.0,See <<removal-of-types>>]
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A mapping type has:
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<<mapping-fields,Meta-fields>>::
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Meta-fields are used to customize how a document's metadata associated is
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treated. Examples of meta-fields include the document's
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<<mapping-index-field,`_index`>>, <<mapping-type-field,`_type`>>,
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<<mapping-id-field,`_id`>>, and <<mapping-source-field,`_source`>> fields.
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<<mapping-types,Fields>> or _properties_::
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A mapping type contains a list of fields or `properties` pertinent to the
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document.
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[float]
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[[field-datatypes]]
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== Field datatypes
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Each field has a data `type` which can be:
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* a simple type like <<text,`text`>>, <<keyword,`keyword`>>, <<date,`date`>>, <<number,`long`>>,
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<<number,`double`>>, <<boolean,`boolean`>> or <<ip,`ip`>>.
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* a type which supports the hierarchical nature of JSON such as
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<<object,`object`>> or <<nested,`nested`>>.
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* or a specialised type like <<geo-point,`geo_point`>>,
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<<geo-shape,`geo_shape`>>, or <<completion-suggester,`completion`>>.
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It is often useful to index the same field in different ways for different
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purposes. For instance, a `string` field could be <<mapping-index,indexed>> as
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a `text` field for full-text search, and as a `keyword` field for
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sorting or aggregations. Alternatively, you could index a string field with
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the <<analysis-standard-analyzer,`standard` analyzer>>, the
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<<english-analyzer,`english`>> analyzer, and the
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<<french-analyzer,`french` analyzer>>.
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This is the purpose of _multi-fields_. Most datatypes support multi-fields
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via the <<multi-fields>> parameter.
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[[mapping-limit-settings]]
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[float]
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=== Settings to prevent mappings explosion
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Defining too many fields in an index is a condition that can lead to a
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mapping explosion, which can cause out of memory errors and difficult
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situations to recover from. This problem may be more common than expected.
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As an example, consider a situation in which every new document inserted
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introduces new fields. This is quite common with dynamic mappings.
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Every time a document contains new fields, those will end up in the index's
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mappings. This isn't worrying for a small amount of data, but it can become a
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problem as the mapping grows.
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The following settings allow you to limit the number of field mappings that
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can be created manually or dynamically, in order to prevent bad documents from
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causing a mapping explosion:
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`index.mapping.total_fields.limit`::
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The maximum number of fields in an index. Field and object mappings, as well as
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field aliases count towards this limit. The default value is `1000`.
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`index.mapping.depth.limit`::
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The maximum depth for a field, which is measured as the number of inner
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objects. For instance, if all fields are defined at the root object level,
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then the depth is `1`. If there is one object mapping, then the depth is
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`2`, etc. The default is `20`.
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`index.mapping.nested_fields.limit`::
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The maximum number of distinct `nested` mappings in an index, defaults to `50`.
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`index.mapping.nested_objects.limit`::
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The maximum number of `nested` JSON objects within a single document across
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all nested types, defaults to 10000.
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`index.mapping.field_name_length.limit`::
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Setting for the maximum length of a field name. The default value is
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Long.MAX_VALUE (no limit). This setting isn't really something that addresses
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mappings explosion but might still be useful if you want to limit the field length.
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It usually shouldn't be necessary to set this setting. The default is okay
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unless a user starts to add a huge number of fields with really long names.
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[float]
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== Dynamic mapping
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Fields and mapping types do not need to be defined before being used. Thanks
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to _dynamic mapping_, new field names will be added automatically, just by
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indexing a document. New fields can be added both to the top-level mapping
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type, and to inner <<object,`object`>> and <<nested,`nested`>> fields.
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The <<dynamic-mapping,dynamic mapping>> rules can be configured to customise
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the mapping that is used for new fields.
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[float]
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== Explicit mappings
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You know more about your data than Elasticsearch can guess, so while dynamic
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mapping can be useful to get started, at some point you will want to specify
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your own explicit mappings.
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You can create field mappings when you <<create-mapping,create an index>> and
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<<add-field-mapping,add fields to an existing index>>.
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[float]
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[[create-mapping]]
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== Create an index with an explicit mapping
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You can use the <<indices-create-index,create index>> API to create a new index
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with an explicit mapping.
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[source,console]
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----
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PUT /my-index
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{
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"mappings": {
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"properties": {
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"age": { "type": "integer" }, <1>
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"email": { "type": "keyword" }, <2>
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"name": { "type": "text" } <3>
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}
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}
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}
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----
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<1> Creates `age`, an <<number,`integer`>> field
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<2> Creates `email`, a <<keyword,`keyword`>> field
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<3> Creates `name`, a <<text,`text`>> field
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[float]
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[[add-field-mapping]]
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== Add a field to an existing mapping
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You can use the <<indices-put-mapping, put mapping>> API to add one or more new
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fields to an existing index.
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The following example adds `employee-id`, a `keyword` field with an
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<<mapping-index,`index`>> mapping parameter value of `false`. This means values
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for the `employee-id` field are stored but not indexed or available for search.
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[source,console]
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----
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PUT /my-index/_mapping
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{
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"properties": {
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"employee-id": {
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"type": "keyword",
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"index": false
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}
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}
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}
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----
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// TEST[continued]
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[float]
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[[update-mapping]]
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=== Update the mapping of a field
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include::{docdir}/indices/put-mapping.asciidoc[tag=put-field-mapping-exceptions]
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[float]
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[[view-mapping]]
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== View the mapping of an index
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You can use the <<indices-get-mapping, get mapping>> API to view the mapping of
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an existing index.
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[source,console]
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----
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GET /my-index/_mapping
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----
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// TEST[continued]
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The API returns the following response:
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[source,console-result]
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----
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{
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"my-index" : {
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"mappings" : {
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"properties" : {
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"age" : {
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"type" : "integer"
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},
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"email" : {
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"type" : "keyword"
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},
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"employee-id" : {
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"type" : "keyword",
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"index" : false
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},
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"name" : {
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"type" : "text"
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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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[float]
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[[view-field-mapping]]
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== View the mapping of specific fields
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If you only want to view the mapping of one or more specific fields, you can use
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the <<indices-get-field-mapping, get field mapping>> API.
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This is useful if you don't need the complete mapping of an index or your index
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contains a large number of fields.
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The following request retrieves the mapping for the `employee-id` field.
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[source,console]
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----
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GET /my-index/_mapping/field/employee-id
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----
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// TEST[continued]
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The API returns the following response:
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[source,console-result]
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----
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{
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"my-index" : {
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"mappings" : {
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"employee-id" : {
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"full_name" : "employee-id",
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"mapping" : {
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"employee-id" : {
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"type" : "keyword",
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"index" : false
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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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--
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include::mapping/removal_of_types.asciidoc[]
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include::mapping/types.asciidoc[]
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include::mapping/fields.asciidoc[]
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include::mapping/params.asciidoc[]
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include::mapping/dynamic-mapping.asciidoc[]
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