- Elasticsearch Guide: other versions:
- What is Elasticsearch?
- What’s new in 7.14
- Quick start
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Secure settings
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- Starting Elasticsearch
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- Overview
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- Built-in analyzer reference
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- Overview
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- Data management
- ILM: Manage the index lifecycle
- Overview
- Concepts
- Automate rollover
- Customize built-in ILM policies
- Index lifecycle actions
- Configure a lifecycle policy
- Migrate index allocation filters to node roles
- Troubleshooting index lifecycle management errors
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- Elasticsearch security principles
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- User authorization
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- Cross cluster search, clients, and integrations
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- Troubleshooting
- Some settings are not returned via the nodes settings API
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- Create data frame analytics jobs
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- Migration APIs
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- Snapshot and restore APIs
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- SQL APIs
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- Definitions
- Migration guide
- Release notes
- Elasticsearch version 7.14.2
- Elasticsearch version 7.14.1
- Elasticsearch version 7.14.0
- Elasticsearch version 7.13.4
- Elasticsearch version 7.13.3
- Elasticsearch version 7.13.2
- Elasticsearch version 7.13.1
- Elasticsearch version 7.13.0
- Elasticsearch version 7.12.1
- Elasticsearch version 7.12.0
- Elasticsearch version 7.11.2
- Elasticsearch version 7.11.1
- Elasticsearch version 7.11.0
- Elasticsearch version 7.10.2
- Elasticsearch version 7.10.1
- Elasticsearch version 7.10.0
- Elasticsearch version 7.9.3
- Elasticsearch version 7.9.2
- Elasticsearch version 7.9.1
- Elasticsearch version 7.9.0
- Elasticsearch version 7.8.1
- Elasticsearch version 7.8.0
- Elasticsearch version 7.7.1
- Elasticsearch version 7.7.0
- Elasticsearch version 7.6.2
- Elasticsearch version 7.6.1
- Elasticsearch version 7.6.0
- Elasticsearch version 7.5.2
- Elasticsearch version 7.5.1
- Elasticsearch version 7.5.0
- Elasticsearch version 7.4.2
- Elasticsearch version 7.4.1
- Elasticsearch version 7.4.0
- Elasticsearch version 7.3.2
- Elasticsearch version 7.3.1
- Elasticsearch version 7.3.0
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
- Dependencies and versions
Update mapping API
editUpdate mapping API
editAdds new fields to an existing data stream or index. You can also use this API to change the search settings of existing fields.
For data streams, these changes are applied to all backing indices by default.
PUT /my-index-000001/_mapping { "properties": { "email": { "type": "keyword" } } }
Before 7.0.0, the mappings definition used to include a type name.
Although specifying types in requests is now deprecated, a type can still be
provided if the request parameter include_type_name
is set. For more details,
please see Removal of mapping types.
Request
editPUT /<target>/_mapping
Prerequisites
edit-
If the Elasticsearch security features are enabled, you must have the
manage
index privilege for the target data stream, index, or alias.[7.9] Deprecated in 7.9. If the request targets an index or index alias, you can also update its mapping with the
create
,create_doc
,index
, orwrite
index privilege.
Path parameters
edit-
<target>
-
(Required, 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
.
Query parameters
edit-
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 targetingfoo*,bar*
returns an error if an index starts withfoo
but no index starts withbar
.Defaults to
false
. -
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.
Defaults to
open
. -
-
include_type_name
-
[7.0.0]
Deprecated in 7.0.0. Mapping types have been deprecated. See Removal of mapping types.
(Optional, boolean) If
true
, a mapping type is expected in the body of mappings. Defaults tofalse
. -
ignore_unavailable
-
(Optional, Boolean) If
false
, the request returns an error if it targets a missing or closed index. Defaults tofalse
. -
master_timeout
-
(Optional, time units)
Period to wait for a connection to the master node. If no response is received
before the timeout expires, the request fails and returns an error. Defaults to
30s
. -
timeout
-
(Optional, time units)
Period to wait for a response. If no response is received before the timeout
expires, the request fails and returns an error. Defaults to
30s
. -
write_index_only
-
(Optional, Boolean)
If
true
, the mappings are applied only to the current write index for the target. Defaults tofalse
.
Request body
edit-
properties
-
(Required, mapping object) Mapping for a field. For new fields, this mapping can include:
- Field name
- Field data type
- Mapping parameters
For existing fields, see Change the mapping of an existing field.
Examples
editExample with single target
editThe update mapping API requires an existing data stream or index. The following
create index API request creates the publications
index with no mapping.
PUT /publications
The following update mapping API request adds title
, a new text
field,
to the publications
index.
PUT /publications/_mapping { "properties": { "title": { "type": "text"} } }
Multiple targets
editThe update mapping API can be applied to multiple data streams or indices with a single request.
For example, you can update mappings for the my-index-000001
and my-index-000002
indices at the same time:
# Create the two indices PUT /my-index-000001 PUT /my-index-000002 # Update both mappings PUT /my-index-000001,my-index-000002/_mapping { "properties": { "user": { "properties": { "name": { "type": "keyword" } } } } }
Add new properties to an existing object field
editYou can use the update mapping API to add new properties to an existing
object
field. To see how this works, try the following example.
Use the create index API to create an index with the
name
object field and an inner first
text field.
PUT /my-index-000001 { "mappings": { "properties": { "name": { "properties": { "first": { "type": "text" } } } } } }
Use the update mapping API to add a new inner last
text field to the name
field.
PUT /my-index-000001/_mapping { "properties": { "name": { "properties": { "last": { "type": "text" } } } } }
Add multi-fields to an existing field
editMulti-fields let you index the same field in different ways.
You can use the update mapping API to update the fields
mapping parameter and
enable multi-fields for an existing field.
To see how this works, try the following example.
Use the create index API to create an index with the
city
text field.
PUT /my-index-000001 { "mappings": { "properties": { "city": { "type": "text" } } } }
While text fields work well for full-text search, keyword fields are not analyzed and may work better for sorting or aggregations.
Use the update mapping API to enable a multi-field for the city
field. This
request adds the city.raw
keyword multi-field, which can be used for sorting.
PUT /my-index-000001/_mapping { "properties": { "city": { "type": "text", "fields": { "raw": { "type": "keyword" } } } } }
Change supported mapping parameters for an existing field
editThe documentation for each mapping parameter indicates
whether you can update it for an existing field using the update mapping API. For
example, you can use the update mapping API to update the
ignore_above
parameter.
To see how this works, try the following example.
Use the create index API to create an index containing
a user_id
keyword field. The user_id
field has an ignore_above
parameter
value of 20
.
PUT /my-index-000001 { "mappings": { "properties": { "user_id": { "type": "keyword", "ignore_above": 20 } } } }
Use the update mapping API to change the ignore_above
parameter value to 100
.
PUT /my-index-000001/_mapping { "properties": { "user_id": { "type": "keyword", "ignore_above": 100 } } }
Change the mapping of an existing field
editExcept for supported mapping parameters, you can’t change the mapping or field type of an existing field. Changing an existing field could invalidate data that’s already indexed.
If you need to change the mapping of a field in a data stream’s backing indices, see Change mappings and settings for a data stream.
If you need to change the mapping of a field in other indices, create a new index with the correct mapping and reindex your data into that index.
To see how you can change the mapping of an existing field in an index, try the following example.
Use the create index API
to create an index
with the user_id
field
with the long
field type.
PUT /my-index-000001 { "mappings" : { "properties": { "user_id": { "type": "long" } } } }
Use the index API
to index several documents
with user_id
field values.
POST /my-index-000001/_doc?refresh=wait_for { "user_id" : 12345 } POST /my-index-000001/_doc?refresh=wait_for { "user_id" : 12346 }
To change the user_id
field
to the keyword
field type,
use the create index API
to create a new index with the correct mapping.
PUT /my-new-index-000001 { "mappings" : { "properties": { "user_id": { "type": "keyword" } } } }
Use the reindex API to copy documents from the old index to the new one.
POST /_reindex { "source": { "index": "my-index-000001" }, "dest": { "index": "my-new-index-000001" } }
Rename a field
editRenaming a field would invalidate data already indexed under the old field name.
Instead, add an alias
field to create an alternate field name.
For example,
use the create index API
to create an index
with the user_identifier
field.
PUT /my-index-000001 { "mappings": { "properties": { "user_identifier": { "type": "keyword" } } } }
Use the update mapping API to add the user_id
field alias
for the existing user_identifier
field.
PUT /my-index-000001/_mapping { "properties": { "user_id": { "type": "alias", "path": "user_identifier" } } }
On this page
- Request
- Prerequisites
- Path parameters
- Query parameters
- Request body
- Examples
- Example with single target
- Multiple targets
- Add new properties to an existing object field
- Add multi-fields to an existing field
- Change supported mapping parameters for an existing field
- Change the mapping of an existing field
- Rename a field