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Get field mapping API

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Get field mapping API

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Retrieves mapping definitions for one or more fields. For data streams, the API retrieves field mappings for the stream’s backing indices.

This API is useful if you don’t need a complete mapping or if an index mapping contains a large number of fields.

resp = client.indices.get_field_mapping(
    index="my-index-000001",
    fields="user",
)
print(resp)

response = client.indices.get_field_mapping(
  index: 'my-index-000001',
  fields: 'user'
)
puts response

const response = await client.indices.getFieldMapping({
  index: "my-index-000001",
  fields: "user",
});
console.log(response);

GET /my-index-000001/_mapping/field/user

Request

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GET /_mapping/field/<field>

GET /<target>/_mapping/field/<field>

Prerequisites

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If the Elasticsearch security features are enabled, you must have the view_index_metadata or manage index privilege for the target data stream, index, or alias.

Path parameters

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<target>: (Optional, string) Comma-separated list of data streams, indices, and aliases used to limit the request. Supports wildcards (*). To target all data streams and indices, omit this parameter or use * or _all.
<field>: (Optional, string) Comma-separated list or wildcard expression of fields used to limit returned information.

Query parameters

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allow_no_indices

(Optional, Boolean) If false, the request returns an error if any wildcard expression, index alias, or _all value targets only missing or closed indices. This behavior applies even if the request targets other open indices. For example, a request targeting foo*,bar* returns an error if an index starts with foo but no index starts with bar.

Defaults to true.

expand_wildcards

(Optional, string) Type of index that wildcard patterns can match. If the request can target data streams, this argument determines whether wildcard expressions match hidden data streams. Supports comma-separated values, such as open,hidden. Valid values are:

all: Match any data stream or index, including hidden ones.
open: Match open, non-hidden indices. Also matches any non-hidden data stream.
closed: Match closed, non-hidden indices. Also matches any non-hidden data stream. Data streams cannot be closed.
hidden: Match hidden data streams and hidden indices. Must be combined with open, closed, or both.
none: Wildcard patterns are not accepted.

ignore_unavailable

(Optional, Boolean) If false, the request returns an error if it targets a missing or closed index. Defaults to false.

include_defaults

(Optional, Boolean) If true, the response includes default mapping values. Defaults to false.

Examples

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Example with index setup

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You can provide field mappings when creating a new index. The following create index API request creates the publications index with several field mappings.

resp = client.indices.create(
    index="publications",
    mappings={
        "properties": {
            "id": {
                "type": "text"
            },
            "title": {
                "type": "text"
            },
            "abstract": {
                "type": "text"
            },
            "author": {
                "properties": {
                    "id": {
                        "type": "text"
                    },
                    "name": {
                        "type": "text"
                    }
                }
            }
        }
    },
)
print(resp)

response = client.indices.create(
  index: 'publications',
  body: {
    mappings: {
      properties: {
        id: {
          type: 'text'
        },
        title: {
          type: 'text'
        },
        abstract: {
          type: 'text'
        },
        author: {
          properties: {
            id: {
              type: 'text'
            },
            name: {
              type: 'text'
            }
          }
        }
      }
    }
  }
)
puts response

const response = await client.indices.create({
  index: "publications",
  mappings: {
    properties: {
      id: {
        type: "text",
      },
      title: {
        type: "text",
      },
      abstract: {
        type: "text",
      },
      author: {
        properties: {
          id: {
            type: "text",
          },
          name: {
            type: "text",
          },
        },
      },
    },
  },
});
console.log(response);

PUT /publications
{
  "mappings": {
    "properties": {
      "id": { "type": "text" },
      "title": { "type": "text" },
      "abstract": { "type": "text" },
      "author": {
        "properties": {
          "id": { "type": "text" },
          "name": { "type": "text" }
        }
      }
    }
  }
}

The following returns the mapping of the field title only:

resp = client.indices.get_field_mapping(
    index="publications",
    fields="title",
)
print(resp)

response = client.indices.get_field_mapping(
  index: 'publications',
  fields: 'title'
)
puts response

const response = await client.indices.getFieldMapping({
  index: "publications",
  fields: "title",
});
console.log(response);

GET publications/_mapping/field/title

The API returns the following response:

{
   "publications": {
      "mappings": {
          "title": {
             "full_name": "title",
             "mapping": {
                "title": {
                   "type": "text"
                }
             }
          }
       }
   }
}

Specifying fields

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The get mapping API allows you to specify a comma-separated list of fields.

For instance to select the id of the author field, you must use its full name author.id.

resp = client.indices.get_field_mapping(
    index="publications",
    fields="author.id,abstract,name",
)
print(resp)

response = client.indices.get_field_mapping(
  index: 'publications',
  fields: 'author.id,abstract,name'
)
puts response

const response = await client.indices.getFieldMapping({
  index: "publications",
  fields: "author.id,abstract,name",
});
console.log(response);

GET publications/_mapping/field/author.id,abstract,name

returns:

{
   "publications": {
      "mappings": {
        "author.id": {
           "full_name": "author.id",
           "mapping": {
              "id": {
                 "type": "text"
              }
           }
        },
        "abstract": {
           "full_name": "abstract",
           "mapping": {
              "abstract": {
                 "type": "text"
              }
           }
        }
     }
   }
}

The get field mapping API also supports wildcard notation.

resp = client.indices.get_field_mapping(
    index="publications",
    fields="a*",
)
print(resp)

response = client.indices.get_field_mapping(
  index: 'publications',
  fields: 'a*'
)
puts response

const response = await client.indices.getFieldMapping({
  index: "publications",
  fields: "a*",
});
console.log(response);

GET publications/_mapping/field/a*

returns:

{
   "publications": {
      "mappings": {
         "author.name": {
            "full_name": "author.name",
            "mapping": {
               "name": {
                 "type": "text"
               }
            }
         },
         "abstract": {
            "full_name": "abstract",
            "mapping": {
               "abstract": {
                  "type": "text"
               }
            }
         },
         "author.id": {
            "full_name": "author.id",
            "mapping": {
               "id": {
                  "type": "text"
               }
            }
         }
      }
   }
}

Multiple targets and fields

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The get field mapping API can be used to get mappings for multiple fields from multiple data streams or indices with a single request.

The <target> and <field> request path parameters both support comma-separated lists and wildcard expressions.

You can omit the <target> parameter or use a value of * or _all to target all data streams and indices in a cluster.

Similarly, you can omit the <field> parameter or use a value of * to retrieve mappings for all fields in the targeted data streams or indices. However, the <field> parameter does not support the _all value.

For example, the following request retrieves mappings for the message field in any data stream or index named my-index-000001 or my-index-000002.

resp = client.indices.get_field_mapping(
    index="my-index-000001,my-index-000002",
    fields="message",
)
print(resp)

response = client.indices.get_field_mapping(
  index: 'my-index-000001,my-index-000002',
  fields: 'message'
)
puts response

const response = await client.indices.getFieldMapping({
  index: "my-index-000001,my-index-000002",
  fields: "message",
});
console.log(response);

GET /my-index-000001,my-index-000002/_mapping/field/message

The following request retrieves mappings for the message and user.id fields in any data stream or index in the cluster.

resp = client.indices.get_field_mapping(
    index="_all",
    fields="message",
)
print(resp)

response = client.indices.get_field_mapping(
  index: '_all',
  fields: 'message'
)
puts response

const response = await client.indices.getFieldMapping({
  index: "_all",
  fields: "message",
});
console.log(response);

GET /_all/_mapping/field/message

The following request retrieves mappings for fields with an id property in any data stream or index in the cluster.

resp = client.indices.get_field_mapping(
    index="_all",
    fields="*.id",
)
print(resp)

response = client.indices.get_field_mapping(
  index: '_all',
  fields: '*.id'
)
puts response

const response = await client.indices.getFieldMapping({
  index: "_all",
  fields: "*.id",
});
console.log(response);

GET /_all/_mapping/field/*.id

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