Update field mappings
- POST also PUT /{index}/_mapping
Add new fields to an existing data stream or index. You can also use this API to change the search settings of existing fields and add new properties to existing object fields. For data streams, these changes are applied to all backing indices by default.
Add multi-fields to an existing field
Multi-fields let you index the same field in different ways. You can use this API to update the fields mapping parameter and enable multi-fields for an existing field. WARNING: If an index (or data stream) contains documents when you add a multi-field, those documents will not have values for the new multi-field. You can populate the new multi-field with the update by query API.
Change supported mapping parameters for an existing field
The documentation for each mapping parameter indicates whether you can update it for an existing field using this API.
For example, you can use the update mapping API to update the ignore_above parameter.
Change the mapping of an existing field
Except 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, refer to documentation about modifying data streams. 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.
Rename a field
Renaming a field would invalidate data already indexed under the old field name. Instead, add an alias field to create an alternate field name.
Read the reference documentationRequired privileges
- Index privileges manage
Query parameters
-
allow_no_indicesboolean · default: true -
If
false, the request returns an error if any wildcard expression, index alias, or_allvalue targets only missing or closed indices. This behavior applies even if the request targets other open indices. -
expand_wildcardsunion oneOf · default: open -
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.Supported values include:
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 withopen,closed, orboth.none: Wildcard expressions are not accepted.
-
Values:
allopenclosedhiddennone -
ignore_unavailableboolean · default: false -
If
false, the request returns an error if it targets a missing or closed index. -
master_timeoutunion oneOf · default: 30s -
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.
-
Values:
-10
Request body
-
dynamic_date_formatsstring[] -
If date detection is enabled then new string fields are checked against 'dynamic_date_formats' and if the value matches then a new date field is added instead of string.
-
_metaobject -
A mapping type can have custom meta data associated with it. These are not used at all by Elasticsearch, but can be used to store application-specific metadata.
-
numeric_detectionboolean · default: false -
Automatically map strings into numeric data types for all fields.
-
propertiesmap string to oneOf -
Mapping for a field. For new fields, this mapping can include:
- Field name
- Field data type
- Mapping parameters
-
<string>union oneOf -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
dimsnumber -
Number of vector dimensions. Can't exceed
4096. Ifdimsis not specified, it will be set to the length of the first vector added to the field. -
element_typeenum · default: float -
The data type used to encode vectors. The supported data types are
float(default),byte, andbit.Supported values include:
bit: Indexes a single bit per dimension. Useful for very high-dimensional vectors or models that specifically support bit vectors.
Notewhen using
bit, the number of dimensions must be a multiple of8and must represent the number of bits.byte: Indexes a 1-byte integer value per dimension.float: Indexes a 4-byte floating-point value per dimension.
-
Values:
bitbytefloat -
index_optionsobject -
An optional section that configures the kNN indexing algorithm. The HNSW algorithm has two internal parameters that influence how the data structure is built. These can be adjusted to improve the accuracy of results, at the expense of slower indexing speed.
This parameter can only be specified when
indexistrue. -
confidence_intervalnumber -
The confidence interval to use when quantizing the vectors. Can be any value between and including
0.90and1.0or exactly0. When the value is0, this indicates that dynamic quantiles should be calculated for optimized quantization. When between0.90and1.0, this value restricts the values used when calculating the quantization thresholds.For example, a value of
0.95will only use the middle95%of the values when calculating the quantization thresholds (e.g. the highest and lowest2.5%of values will be ignored).Defaults to
1/(dims + 1)forint8quantized vectors and0forint4for dynamic quantile calculation.Only applicable to
int8_hnsw,int4_hnsw,int8_flat, andint4_flatindex types. -
ef_constructionnumber · default: 100 -
The number of candidates to track while assembling the list of nearest neighbors for each new node.
Only applicable to
hnsw,int8_hnsw,bbq_hnsw, andint4_hnswindex types. -
mnumber · default: 16 -
The number of neighbors each node will be connected to in the HNSW graph.
Only applicable to
hnsw,int8_hnsw,bbq_hnsw, andint4_hnswindex types. -
typeenumrequired -
The type of kNN algorithm to use.
Supported values include:
bbq_flat: This utilizes a brute-force search algorithm in addition to automatically quantizing to binary vectors. Only supportselement_typeoffloat.bbq_hnsw: This utilizes the HNSW algorithm in addition to automatic binary quantization for scalable approximate kNN search withelement_typeoffloat.
This can reduce the memory footprint by nearly 32x at the cost of some accuracy.
flat: This utilizes a brute-force search algorithm for exact kNN search. This supports allelement_typevalues.hnsw: This utilizes the HNSW algorithm for scalable approximate kNN search. This supports allelement_typevalues.int4_flat: This utilizes a brute-force search algorithm in addition to automatically half-byte scalar quantization. Only supportselement_typeoffloat.int4_hnsw: This utilizes the HNSW algorithm in addition to automatically scalar quantization for scalable approximate kNN search withelement_typeoffloat.
This can reduce the memory footprint by 8x at the cost of some accuracy.
int8_flat: This utilizes a brute-force search algorithm in addition to automatically scalar quantization. Only supportselement_typeoffloat.int8_hnsw: The default index type forfloatvectors. This utilizes the HNSW algorithm in addition to automatically scalar quantization for scalable approximate kNN search withelement_typeoffloat.
This can reduce the memory footprint by 4x at the cost of some accuracy.
-
Values:
bbq_flatbbq_hnswflathnswint4_flatint4_hnswint8_flatint8_hnsw -
similarityenum -
The vector similarity metric to use in kNN search.
Documents are ranked by their vector field's similarity to the query vector. The
_scoreof each document will be derived from the similarity, in a way that ensures scores are positive and that a larger score corresponds to a higher ranking.Defaults to
l2_normwhenelement_typeisbitotherwise defaults tocosine.bitvectors only supportl2_normas their similarity metric.This parameter can only be specified when
indexistrue.Supported values include:
cosine: Computes the cosine similarity. During indexing Elasticsearch automatically normalizes vectors withcosinesimilarity to unit length. This allows to internally usedot_productfor computing similarity, which is more efficient. Original un-normalized vectors can be still accessed through scripts.
The document
_scoreis computed as(1 + cosine(query, vector)) / 2.The
cosinesimilarity does not allow vectors with zero magnitude, since cosine is not defined in this case.dot_product: Computes the dot product of two unit vectors. This option provides an optimized way to perform cosine similarity. The constraints and computed score are defined byelement_type.
When
element_typeisfloat, all vectors must be unit length, including both document and query vectors.The document
_scoreis computed as(1 + dot_product(query, vector)) / 2.When
element_typeisbyte, all vectors must have the same length including both document and query vectors or results will be inaccurate.The document
_scoreis computed as0.5 + (dot_product(query, vector) / (32768 * dims))wheredimsis the number of dimensions per vector.l2_norm: Computes similarity based on theL2distance (also known as Euclidean distance) between the vectors.
The document
_scoreis computed as1 / (1 + l2_norm(query, vector)^2).For
bitvectors, instead of usingl2_norm, thehammingdistance between the vectors is used.The
_scoretransformation is(numBits - hamming(a, b)) / numBits.max_inner_product: Computes the maximum inner product of two vectors. This is similar todot_product, but doesn't require vectors to be normalized. This means that each vector’s magnitude can significantly effect the score.
The document
_scoreis adjusted to prevent negative values. Formax_inner_productvalues< 0, the_scoreis1 / (1 + -1 * max_inner_product(query, vector)). For non-negativemax_inner_productresults the_scoreis calculatedmax_inner_product(query, vector) + 1. -
Values:
cosinedot_productl2_normmax_inner_product -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
inference_idstring · default: .elser-2-elasticsearch -
Inference endpoint that will be used to generate embeddings for the field. This parameter cannot be updated. Use the Create inference API to create the endpoint. If
search_inference_idis specified, the inference endpoint will only be used at index time. -
search_inference_idstring -
Inference endpoint that will be used to generate embeddings at query time. You can update this parameter by using the Update mapping API. Use the Create inference API to create the endpoint. If not specified, the inference endpoint defined by inference_id will be used at both index and query time.
-
index_optionsobject -
Settings for index_options that override any defaults used by semantic_text, for example specific quantization settings.
-
dense_vectorobject -
confidence_intervalnumber -
The confidence interval to use when quantizing the vectors. Can be any value between and including
0.90and1.0or exactly0. When the value is0, this indicates that dynamic quantiles should be calculated for optimized quantization. When between0.90and1.0, this value restricts the values used when calculating the quantization thresholds.For example, a value of
0.95will only use the middle95%of the values when calculating the quantization thresholds (e.g. the highest and lowest2.5%of values will be ignored).Defaults to
1/(dims + 1)forint8quantized vectors and0forint4for dynamic quantile calculation.Only applicable to
int8_hnsw,int4_hnsw,int8_flat, andint4_flatindex types. -
ef_constructionnumber · default: 100 -
The number of candidates to track while assembling the list of nearest neighbors for each new node.
Only applicable to
hnsw,int8_hnsw,bbq_hnsw, andint4_hnswindex types. -
mnumber · default: 16 -
The number of neighbors each node will be connected to in the HNSW graph.
Only applicable to
hnsw,int8_hnsw,bbq_hnsw, andint4_hnswindex types. -
typeenumrequired -
The type of kNN algorithm to use.
Supported values include:
bbq_flat: This utilizes a brute-force search algorithm in addition to automatically quantizing to binary vectors. Only supportselement_typeoffloat.bbq_hnsw: This utilizes the HNSW algorithm in addition to automatic binary quantization for scalable approximate kNN search withelement_typeoffloat.
This can reduce the memory footprint by nearly 32x at the cost of some accuracy.
flat: This utilizes a brute-force search algorithm for exact kNN search. This supports allelement_typevalues.hnsw: This utilizes the HNSW algorithm for scalable approximate kNN search. This supports allelement_typevalues.int4_flat: This utilizes a brute-force search algorithm in addition to automatically half-byte scalar quantization. Only supportselement_typeoffloat.int4_hnsw: This utilizes the HNSW algorithm in addition to automatically scalar quantization for scalable approximate kNN search withelement_typeoffloat.
This can reduce the memory footprint by 8x at the cost of some accuracy.
int8_flat: This utilizes a brute-force search algorithm in addition to automatically scalar quantization. Only supportselement_typeoffloat.int8_hnsw: The default index type forfloatvectors. This utilizes the HNSW algorithm in addition to automatically scalar quantization for scalable approximate kNN search withelement_typeoffloat.
This can reduce the memory footprint by 4x at the cost of some accuracy.
-
Values:
bbq_flatbbq_hnswflathnswint4_flatint4_hnswint8_flatint8_hnsw -
chunking_settingsobject -
Settings for chunking text into smaller passages. If specified, these will override the chunking settings sent in the inference endpoint associated with inference_id. If chunking settings are updated, they will not be applied to existing documents until they are reindexed.
-
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
index_optionsobject -
Additional index options for the sparse vector field that controls the token pruning behavior of the sparse vector field.
-
pruneboolean -
Whether to perform pruning, omitting the non-significant tokens from the query to improve query performance. If prune is true but the pruning_config is not specified, pruning will occur but default values will be used. Default: false
-
pruning_configobject -
Optional pruning configuration. If enabled, this will omit non-significant tokens from the query in order to improve query performance. This is only used if prune is set to true. If prune is set to true but pruning_config is not specified, default values will be used.
-
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
time_series_metricenum -
For internal use by Elastic only. Marks the field as a time series dimension. Defaults to false.
-
Values:
gaugecountersummaryhistogramposition -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
time_series_metricenum -
For internal use by Elastic only. Marks the field as a time series dimension. Defaults to false.
-
Values:
gaugecountersummaryhistogramposition -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
time_series_metricenum -
For internal use by Elastic only. Marks the field as a time series dimension. Defaults to false.
-
Values:
gaugecountersummaryhistogramposition -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
time_series_metricenum -
For internal use by Elastic only. Marks the field as a time series dimension. Defaults to false.
-
Values:
gaugecountersummaryhistogramposition -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
time_series_metricenum -
For internal use by Elastic only. Marks the field as a time series dimension. Defaults to false.
-
Values:
gaugecountersummaryhistogramposition -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
time_series_metricenum -
For internal use by Elastic only. Marks the field as a time series dimension. Defaults to false.
-
Values:
gaugecountersummaryhistogramposition -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
time_series_metricenum -
For internal use by Elastic only. Marks the field as a time series dimension. Defaults to false.
-
Values:
gaugecountersummaryhistogramposition -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
time_series_metricenum -
For internal use by Elastic only. Marks the field as a time series dimension. Defaults to false.
-
Values:
gaugecountersummaryhistogramposition -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
time_series_metricenum -
For internal use by Elastic only. Marks the field as a time series dimension. Defaults to false.
-
Values:
gaugecountersummaryhistogramposition -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall -
synthetic_source_keepenum -
Supported values include:
none: Synthetic source diverges from the original source (default)arrays: Arrays of the corresponding field or object preserve the original element ordering and duplicate elements. The synthetic source fragment for such arrays is not guaranteed to match the original source exactly, e.g. array [1, 2, [5], [[4, [3]]], 5] may appear as-is or in an equivalent format like [1, 2, 5, 4, 3, 5]. The exact format may change in the future, in an effort to reduce the storage overhead of this option.all: The source for both singleton instances and arrays of the corresponding field or object gets recorded. When applied to objects, the source of all sub-objects and sub-fields gets captured. Furthermore, the original source of arrays gets captured and appears in synthetic source with no modifications.
-
Values:
nonearraysall
One of:
type: binary
type: boolean
type: {dynamic_type}
type: join
type: keyword
type: match_only_text
A variant of text that trades scoring and efficiency of positional queries for space efficiency. This field effectively stores data the same way as a text field that only indexes documents (index_options: docs) and disables norms (norms: false). Term queries perform as fast if not faster as on text fields, however queries that need positions such as the match_phrase query perform slower as they need to look at the _source document to verify whether a phrase matches. All queries return constant scores that are equal to 1.0.
type: percolator
type: rank_feature
type: rank_features
type: search_as_you_type
type: text
type: version
type: wildcard
type: date_nanos
type: date
type: aggregate_metric_double
type: dense_vector
type: flattened
type: nested
type: object
type: passthrough
type: rank_vectors
Technical preview
type: semantic_text
type: sparse_vector
type: completion
type: constant_keyword
type: counted_keyword
type: alias
type: histogram
type: ip
type: murmur3
type: token_count
type: geo_point
type: geo_shape
The geo_shape data type facilitates the indexing of and searching with arbitrary geo shapes such as rectangles
and polygons.
type: point
type: shape
The shape data type facilitates the indexing of and searching with arbitrary x, y cartesian shapes such as
rectangles and polygons.
type: byte
type: double
type: float
type: half_float
type: integer
type: long
type: scaled_float
type: short
type: unsigned_long
type: date_range
type: double_range
type: float_range
type: integer_range
type: ip_range
type: long_range
type: icu_collation_keyword