Preview a datafeed
This API returns the first "page" of search results from a datafeed. You can preview an existing datafeed or provide configuration details for a datafeed and anomaly detection job in the API. The preview shows the structure of the data that will be passed to the anomaly detection engine. IMPORTANT: When Elasticsearch security features are enabled, the preview uses the credentials of the user that called the API. However, when the datafeed starts it uses the roles of the last user that created or updated the datafeed. To get a preview that accurately reflects the behavior of the datafeed, use the appropriate credentials. You can also use secondary authorization headers to supply the credentials.
Body
-
datafeed_config object
Hide datafeed_config attributes Show datafeed_config attributes object
-
aggregations object
If set, the datafeed performs aggregation searches. Support for aggregations is limited and should be used only with low cardinality data.
-
chunking_config object
Hide chunking_config attributes Show chunking_config attributes object
-
datafeed_id string
-
delayed_data_check_config object
Hide delayed_data_check_config attributes Show delayed_data_check_config attributes object
-
check_window string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
Specifies whether the datafeed periodically checks for delayed data.
-
-
frequency string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
indices string | array[string]
-
indices_options object
Hide indices_options attributes Show indices_options attributes object
-
allow_no_indices 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
. -
expand_wildcards string | array[string]
-
ignore_unavailable boolean
If true, missing or closed indices are not included in the response.
-
ignore_throttled boolean
If true, concrete, expanded or aliased indices are ignored when frozen.
-
-
job_id string
-
max_empty_searches number
If a real-time datafeed has never seen any data (including during any initial training period) then it will automatically stop itself and close its associated job after this many real-time searches that return no documents. In other words, it will stop after
frequency
timesmax_empty_searches
of real-time operation. If not set then a datafeed with no end time that sees no data will remain started until it is explicitly stopped. -
query object
Hide query attributes Show query attributes object
-
bool object
Hide bool attributes Show bool attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
filter object | array[object]
The clause (query) must appear in matching documents. However, unlike
must
, the score of the query will be ignored.minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
must object | array[object]
The clause (query) must appear in matching documents and will contribute to the score.
must_not object | array[object]
The clause (query) must not appear in the matching documents. Because scoring is ignored, a score of
0
is returned for all documents.should object | array[object]
The clause (query) should appear in the matching document.
-
-
boosting object
Hide boosting attributes Show boosting attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Floating point number between 0 and 1.0 used to decrease the relevance scores of documents matching the
negative
query.
-
-
combined_fields object
Hide combined_fields attributes Show combined_fields attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
Text to search for in the provided
fields
. Thecombined_fields
query analyzes the provided text before performing a search. -
If true, match phrase queries are automatically created for multi-term synonyms.
-
operator string
Values are
or
orand
. minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
zero_terms_query string
Values are
none
orall
.
-
-
constant_score object
Hide constant_score attributes Show constant_score attributes object
-
dis_max object
Hide dis_max attributes Show dis_max attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
One or more query clauses. Returned documents must match one or more of these queries. If a document matches multiple queries, Elasticsearch uses the highest relevance score.
-
tie_breaker number
Floating point number between 0 and 1.0 used to increase the relevance scores of documents matching multiple query clauses.
-
distance_feature object
One of: Hide attributes Show attributes
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Date or point of origin used to calculate distances. If the
field
value is adate
ordate_nanos
field, theorigin
value must be a date. Date Math, such asnow-1h
, is supported. If the field value is ageo_point
field, theorigin
value must be a geopoint. -
Distance from the
origin
at which relevance scores receive half of theboost
value. If thefield
value is adate
ordate_nanos
field, thepivot
value must be a time unit, such as1h
or10d
. If thefield
value is ageo_point
field, thepivot
value must be a distance unit, such as1km
or12m
. -
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
Hide attributes Show attributes
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
Hide attributes Show attributes
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
exists object
Hide exists attributes Show exists attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
function_score object
Hide function_score attributes Show function_score attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
boost_mode string
Values are
multiply
,replace
,sum
,avg
,max
, ormin
. -
functions array[object]
One or more functions that compute a new score for each document returned by the query.
-
max_boost number
Restricts the new score to not exceed the provided limit.
-
min_score number
Excludes documents that do not meet the provided score threshold.
-
query object
-
score_mode string
Values are
multiply
,sum
,avg
,first
,max
, ormin
.
-
-
fuzzy object
Returns documents that contain terms similar to the search term, as measured by a Levenshtein edit distance.
-
geo_bounding_box object
Hide geo_bounding_box attributes Show geo_bounding_box attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
type string
Values are
memory
orindexed
. -
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
geo_distance object
Hide geo_distance attributes Show geo_distance attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
distance_type string
Values are
arc
orplane
. -
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
geo_polygon object
Hide geo_polygon attributes Show geo_polygon attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
-
-
geo_shape object
Hide geo_shape attributes Show geo_shape attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
has_child object
Hide has_child attributes Show has_child attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
type
and not return any documents instead of an error. -
inner_hits object
Hide inner_hits attributes Show inner_hits attributes object
-
name string
-
size number
The maximum number of hits to return per
inner_hits
. -
from number
Inner hit starting document offset.
-
collapse object
Hide collapse attributes Show collapse attributes object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
The number of concurrent requests allowed to retrieve the inner_hits per group
-
collapse object
-
-
docvalue_fields array[object]
-
explain boolean
-
highlight object
-
ignore_unmapped boolean
-
script_fields object
-
seq_no_primary_term boolean
-
fields string | array[string]
-
sort array[string | object]
_source boolean | object
Defines how to fetch a source. Fetching can be disabled entirely, or the source can be filtered.
-
stored_fields string | array[string]
-
track_scores boolean
-
version boolean
-
-
max_children number
Maximum number of child documents that match the query allowed for a returned parent document. If the parent document exceeds this limit, it is excluded from the search results.
-
min_children number
Minimum number of child documents that match the query required to match the query for a returned parent document. If the parent document does not meet this limit, it is excluded from the search results.
-
score_mode string
Values are
none
,avg
,sum
,max
, ormin
.
-
-
has_parent object
Hide has_parent attributes Show has_parent attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
parent_type
and not return any documents instead of an error. You can use this parameter to query multiple indices that may not contain theparent_type
. -
inner_hits object
Hide inner_hits attributes Show inner_hits attributes object
-
name string
-
size number
The maximum number of hits to return per
inner_hits
. -
from number
Inner hit starting document offset.
-
collapse object
Hide collapse attributes Show collapse attributes object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
The number of concurrent requests allowed to retrieve the inner_hits per group
-
collapse object
-
-
docvalue_fields array[object]
-
explain boolean
-
highlight object
-
ignore_unmapped boolean
-
script_fields object
-
seq_no_primary_term boolean
-
fields string | array[string]
-
sort array[string | object]
_source boolean | object
Defines how to fetch a source. Fetching can be disabled entirely, or the source can be filtered.
-
stored_fields string | array[string]
-
track_scores boolean
-
version boolean
-
-
score boolean
Indicates whether the relevance score of a matching parent document is aggregated into its child documents.
-
-
ids object
Hide ids attributes Show ids attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
values string | array[string]
-
-
intervals object
Returns documents based on the order and proximity of matching terms.
-
knn object
Hide knn attributes Show knn attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
query_vector array[number]
-
query_vector_builder object
Hide query_vector_builder attribute Show query_vector_builder attribute object
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text_embedding object
Hide text_embedding attributes Show text_embedding attributes object
-
-
num_candidates number
The number of nearest neighbor candidates to consider per shard
-
k number
The final number of nearest neighbors to return as top hits
filter object | array[object]
Filters for the kNN search query
-
similarity number
The minimum similarity for a vector to be considered a match
-
-
match object
Returns documents that match a provided text, number, date or boolean value. The provided text is analyzed before matching.
-
match_all object
Hide match_all attributes Show match_all attributes object
-
match_bool_prefix object
Analyzes its input and constructs a
bool
query from the terms. Each term except the last is used in aterm
query. The last term is used in a prefix query. -
match_none object
Hide match_none attributes Show match_none attributes object
-
match_phrase object
Analyzes the text and creates a phrase query out of the analyzed text.
-
match_phrase_prefix object
Returns documents that contain the words of a provided text, in the same order as provided. The last term of the provided text is treated as a prefix, matching any words that begin with that term.
-
more_like_this object
Hide more_like_this attributes Show more_like_this attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
The analyzer that is used to analyze the free form text. Defaults to the analyzer associated with the first field in fields.
-
boost_terms number
Each term in the formed query could be further boosted by their tf-idf score. This sets the boost factor to use when using this feature. Defaults to deactivated (0).
-
fail_on_unsupported_field boolean
Controls whether the query should fail (throw an exception) if any of the specified fields are not of the supported types (
text
orkeyword
). -
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
include boolean
Specifies whether the input documents should also be included in the search results returned.
like string | object | array[string | object]
Specifies free form text and/or a single or multiple documents for which you want to find similar documents.
-
max_doc_freq number
The maximum document frequency above which the terms are ignored from the input document.
-
max_query_terms number
The maximum number of query terms that can be selected.
-
max_word_length number
The maximum word length above which the terms are ignored. Defaults to unbounded (
0
). -
min_doc_freq number
The minimum document frequency below which the terms are ignored from the input document.
minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
min_term_freq number
The minimum term frequency below which the terms are ignored from the input document.
-
min_word_length number
The minimum word length below which the terms are ignored.
-
routing string
stop_words string | array[string]
Language value, such as arabic or thai. Defaults to english. Each language value corresponds to a predefined list of stop words in Lucene. See Stop words by language for supported language values and their stop words. Also accepts an array of stop words.
unlike string | object | array[string | object]
Used in combination with
like
to exclude documents that match a set of terms.-
version number
-
version_type string
Values are
internal
,external
,external_gte
, orforce
.
-
-
multi_match object
Hide multi_match attributes Show multi_match attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
Analyzer used to convert the text in the query value into tokens.
-
If
true
, match phrase queries are automatically created for multi-term synonyms. -
fields string | array[string]
fuzziness string | number
-
fuzzy_rewrite string
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). Can be applied to the term subqueries constructed for all terms but the final term. -
lenient boolean
If
true
, format-based errors, such as providing a text query value for a numeric field, are ignored. -
max_expansions number
Maximum number of terms to which the query will expand.
minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
operator string
Values are
and
,AND
,or
, orOR
. -
prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
Text, number, boolean value or date you wish to find in the provided field.
-
slop number
Maximum number of positions allowed between matching tokens.
-
tie_breaker number
Determines how scores for each per-term blended query and scores across groups are combined.
-
type string
Values are
best_fields
,most_fields
,cross_fields
,phrase
,phrase_prefix
, orbool_prefix
. -
zero_terms_query string
Values are
all
ornone
.
-
-
nested object
Hide nested attributes Show nested attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped path and not return any documents instead of an error.
-
inner_hits object
Hide inner_hits attributes Show inner_hits attributes object
-
name string
-
size number
The maximum number of hits to return per
inner_hits
. -
from number
Inner hit starting document offset.
-
collapse object
Hide collapse attributes Show collapse attributes object
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
The number of concurrent requests allowed to retrieve the inner_hits per group
-
collapse object
-
-
docvalue_fields array[object]
-
explain boolean
-
highlight object
-
ignore_unmapped boolean
-
script_fields object
-
seq_no_primary_term boolean
-
fields string | array[string]
-
sort array[string | object]
_source boolean | object
Defines how to fetch a source. Fetching can be disabled entirely, or the source can be filtered.
-
stored_fields string | array[string]
-
track_scores boolean
-
version boolean
-
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
score_mode string
Values are
none
,avg
,sum
,max
, ormin
.
-
-
parent_id object
Hide parent_id attributes Show parent_id attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
id string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
type
and not return any documents instead of an error. -
type string
-
-
percolate object
Hide percolate attributes Show percolate attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
document object
The source of the document being percolated.
-
documents array[object]
An array of sources of the documents being percolated.
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
id string
-
index string
-
name string
The suffix used for the
_percolator_document_slot
field when multiplepercolate
queries are specified. -
preference string
Preference used to fetch document to percolate.
-
routing string
-
version number
-
-
pinned object
Hide pinned attributes Show pinned attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ids array[string]
Document IDs listed in the order they are to appear in results. Required if
docs
is not specified. -
docs array[object]
Documents listed in the order they are to appear in results. Required if
ids
is not specified.
-
-
prefix object
Returns documents that contain a specific prefix in a provided field.
-
query_string object
Hide query_string attributes Show query_string attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
allow_leading_wildcard boolean
If
true
, the wildcard characters*
and?
are allowed as the first character of the query string. -
analyzer string
Analyzer used to convert text in the query string into tokens.
-
analyze_wildcard boolean
If
true
, the query attempts to analyze wildcard terms in the query string. -
If
true
, match phrase queries are automatically created for multi-term synonyms. -
default_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
default_operator string
Values are
and
,AND
,or
, orOR
. -
enable_position_increments boolean
If
true
, enable position increments in queries constructed from aquery_string
search. -
escape boolean
-
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
fuzziness string | number
-
fuzzy_max_expansions number
Maximum number of terms to which the query expands for fuzzy matching.
-
fuzzy_prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
fuzzy_rewrite string
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). -
lenient boolean
If
true
, format-based errors, such as providing a text value for a numeric field, are ignored. -
max_determinized_states number
Maximum number of automaton states required for the query.
minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
phrase_slop number
Maximum number of positions allowed between matching tokens for phrases.
-
Query string you wish to parse and use for search.
-
quote_analyzer string
Analyzer used to convert quoted text in the query string into tokens. For quoted text, this parameter overrides the analyzer specified in the
analyzer
parameter. -
quote_field_suffix string
Suffix appended to quoted text in the query string. You can use this suffix to use a different analysis method for exact matches.
-
rewrite string
-
tie_breaker number
How to combine the queries generated from the individual search terms in the resulting
dis_max
query. -
time_zone string
-
type string
Values are
best_fields
,most_fields
,cross_fields
,phrase
,phrase_prefix
, orbool_prefix
.
-
-
range object
Returns documents that contain terms within a provided range.
-
rank_feature object
Hide rank_feature attributes Show rank_feature attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
saturation object
Hide saturation attribute Show saturation attribute object
-
pivot number
Configurable pivot value so that the result will be less than 0.5.
-
-
log object
Hide log attribute Show log attribute object
-
Configurable scaling factor.
-
-
linear object
-
sigmoid object
-
-
regexp object
Returns documents that contain terms matching a regular expression.
-
rule object
Hide rule attributes Show rule attributes object
-
script object
Hide script attributes Show script attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Hide script attributes Show script attributes object
-
source string
The script source.
-
id string
-
params object
Specifies any named parameters that are passed into the script as variables. Use parameters instead of hard-coded values to decrease compile time.
Hide params attributes Show params attributes object
-
key object
-
options object
Hide options attributes Show options attributes object
-
key string
-
-
-
script_score object
Hide script_score attributes Show script_score attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
min_score number
Documents with a score lower than this floating point number are excluded from the search results.
-
Hide script attributes Show script attributes object
-
source string
The script source.
-
id string
-
params object
Specifies any named parameters that are passed into the script as variables. Use parameters instead of hard-coded values to decrease compile time.
Hide params attributes Show params attributes object
-
key object
-
options object
Hide options attributes Show options attributes object
-
key string
-
-
-
semantic object
Hide semantic attributes Show semantic attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
The field to query, which must be a semantic_text field type
-
The query text
-
-
shape object
Hide shape attributes Show shape attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
When set to
true
the query ignores an unmapped field and will not match any documents.
-
-
simple_query_string object
Hide simple_query_string attributes Show simple_query_string attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
Analyzer used to convert text in the query string into tokens.
-
analyze_wildcard boolean
If
true
, the query attempts to analyze wildcard terms in the query string. -
If
true
, the parser creates a match_phrase query for each multi-position token. -
default_operator string
Values are
and
,AND
,or
, orOR
. -
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
flags string
Query flags can be either a single flag or a combination of flags, e.g.
OR|AND|PREFIX
One of: Query flags can be either a single flag or a combination of flags, e.g.
OR|AND|PREFIX
Values are
NONE
,AND
,NOT
,OR
,PREFIX
,PHRASE
,PRECEDENCE
,ESCAPE
,WHITESPACE
,FUZZY
,NEAR
,SLOP
, orALL
.Query flags can be either a single flag or a combination of flags, e.g.
OR|AND|PREFIX
-
fuzzy_max_expansions number
Maximum number of terms to which the query expands for fuzzy matching.
-
fuzzy_prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). -
lenient boolean
If
true
, format-based errors, such as providing a text value for a numeric field, are ignored. minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
Query string in the simple query string syntax you wish to parse and use for search.
-
quote_field_suffix string
Suffix appended to quoted text in the query string.
-
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Hide big attributes Show big attributes object
-
span_field_masking object
-
span_first object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_near object
-
span_not object
-
span_or object
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
-
Hide little attributes Show little attributes object
-
span_field_masking object
-
span_first object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_near object
-
span_not object
-
span_or object
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
-
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
Hide query attributes Show query attributes object
-
span_containing object
-
span_first object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_near object
-
span_not object
-
span_or object
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
-
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
Hide match attributes Show match attributes object
-
span_containing object
-
span_field_masking object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_near object
-
span_not object
-
span_or object
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
-
-
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
Hide clauses attributes Show clauses attributes object
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
Hide exclude attributes Show exclude attributes object
-
span_containing object
-
span_field_masking object
-
span_first object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_near object
-
span_or object
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
-
-
Hide include attributes Show include attributes object
-
span_containing object
-
span_field_masking object
-
span_first object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_near object
-
span_or object
-
span_term object
The equivalent of the
term
query but for use with other span queries. -
span_within object
-
-
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
Hide clauses attributes Show clauses attributes object
-
-
span_term object
Matches spans containing a term.
-
span_within object
Hide span_within attributes Show span_within attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Hide big attributes Show big attributes object
-
span_containing object
-
span_field_masking object
-
span_first object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_near object
-
span_not object
-
span_or object
-
span_term object
The equivalent of the
term
query but for use with other span queries.
-
-
Hide little attributes Show little attributes object
-
span_containing object
-
span_field_masking object
-
span_first object
-
span_gap object
Can only be used as a clause in a span_near query.
Hide span_gap attributes Show span_gap attributes object
-
key number
-
span_multi object
-
span_near object
-
span_not object
-
span_or object
-
span_term object
The equivalent of the
term
query but for use with other span queries.
-
-
-
sparse_vector object
Hide sparse_vector attributes Show sparse_vector attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
query string
The query text you want to use for search. If inference_id is specified, query must also be specified.
-
prune boolean
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_config object
Hide pruning_config attributes Show pruning_config attributes object
-
tokens_freq_ratio_threshold number
Tokens whose frequency is more than this threshold times the average frequency of all tokens in the specified field are considered outliers and pruned.
-
tokens_weight_threshold number
Tokens whose weight is less than this threshold are considered nonsignificant and pruned.
-
only_score_pruned_tokens boolean
Whether to only score pruned tokens, vs only scoring kept tokens.
-
-
query_vector object
Dictionary of precomputed sparse vectors and their associated weights. Only one of inference_id or query_vector may be supplied in a request.
Hide query_vector attributes Show query_vector attributes object
-
key number
-
inference_id string
-
-
term object
Returns documents that contain an exact term in a provided field. To return a document, the query term must exactly match the queried field's value, including whitespace and capitalization.
-
terms object
Hide terms attributes Show terms attributes object
-
terms_set object
Returns documents that contain a minimum number of exact terms in a provided field. To return a document, a required number of terms must exactly match the field values, including whitespace and capitalization.
-
Uses a natural language processing model to convert the query text into a list of token-weight pairs which are then used in a query against a sparse vector or rank features field.
-
Supports returning text_expansion query results by sending in precomputed tokens with the query.
-
wildcard object
Returns documents that contain terms matching a wildcard pattern.
-
wrapper object
Hide wrapper attributes Show wrapper attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
A base64 encoded query. The binary data format can be any of JSON, YAML, CBOR or SMILE encodings
-
-
type object
Hide type attributes Show type attributes object
-
-
query_delay string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
runtime_mappings object
Hide runtime_mappings attributes Show runtime_mappings attributes object
-
fields object
Hide fields attributes Show fields attributes object
-
Values are
boolean
,composite
,date
,double
,geo_point
,ip
,keyword
,long
, orlookup
.
-
fetch_fields array[object]
For type
lookup
-
format string
A custom format for
date
type runtime fields. -
input_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
target_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
target_index string
-
script object
Hide script attributes Show script attributes object
-
source string
The script source.
-
id string
-
params object
Specifies any named parameters that are passed into the script as variables. Use parameters instead of hard-coded values to decrease compile time.
Hide params attributes Show params attributes object
-
key object
-
options object
Hide options attributes Show options attributes object
-
key string
-
-
Values are
boolean
,composite
,date
,double
,geo_point
,ip
,keyword
,long
, orlookup
.
-
script_fields object
Hide script_fields attributes Show script_fields attributes object
-
Hide script attributes Show script attributes object
-
source string
The script source.
-
id string
-
params object
Specifies any named parameters that are passed into the script as variables. Use parameters instead of hard-coded values to decrease compile time.
Hide params attributes Show params attributes object
-
key object
-
options object
Hide options attributes Show options attributes object
-
key string
-
-
ignore_failure boolean
-
scroll_size number
The size parameter that is used in Elasticsearch searches when the datafeed does not use aggregations. The maximum value is the value of
index.max_result_window
, which is 10,000 by default.
-
-
job_config object
Hide job_config attributes Show job_config attributes object
-
allow_lazy_open boolean
Advanced configuration option. Specifies whether this job can open when there is insufficient machine learning node capacity for it to be immediately assigned to a node.
-
Hide analysis_config attributes Show analysis_config attributes object
-
bucket_span string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. categorization_analyzer string | object
One of: Hide attributes Show attributes
-
char_filter array[string | object]
One or more character filters. In addition to the built-in character filters, other plugins can provide more character filters. If this property is not specified, no character filters are applied prior to categorization. If you are customizing some other aspect of the analyzer and you need to achieve the equivalent of
categorization_filters
(which are not permitted when some other aspect of the analyzer is customized), add them here as pattern replace character filters. -
filter array[string | object]
One or more token filters. In addition to the built-in token filters, other plugins can provide more token filters. If this property is not specified, no token filters are applied prior to categorization.
-
tokenizer string
-
-
categorization_field_name string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
categorization_filters array[string]
If
categorization_field_name
is specified, you can also define optional filters. This property expects an array of regular expressions. The expressions are used to filter out matching sequences from the categorization field values. You can use this functionality to fine tune the categorization by excluding sequences from consideration when categories are defined. For example, you can exclude SQL statements that appear in your log files. This property cannot be used at the same time ascategorization_analyzer
. If you only want to define simple regular expression filters that are applied prior to tokenization, setting this property is the easiest method. If you also want to customize the tokenizer or post-tokenization filtering, use thecategorization_analyzer
property instead and include the filters as pattern_replace character filters. The effect is exactly the same. -
Detector configuration objects specify which data fields a job analyzes. They also specify which analytical functions are used. You can specify multiple detectors for a job. If the detectors array does not contain at least one detector, no analysis can occur and an error is returned.
Hide detectors attributes Show detectors attributes object
-
by_field_name string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
custom_rules array[object]
Custom rules enable you to customize the way detectors operate. For example, a rule may dictate conditions under which results should be skipped. Kibana refers to custom rules as job rules.
Hide custom_rules attributes Show custom_rules attributes object
-
actions array[string]
The set of actions to be triggered when the rule applies. If more than one action is specified the effects of all actions are combined.
Values are
skip_result
orskip_model_update
. -
conditions array[object]
An array of numeric conditions when the rule applies. A rule must either have a non-empty scope or at least one condition. Multiple conditions are combined together with a logical AND.
-
-
detector_description string
A description of the detector.
-
detector_index number
A unique identifier for the detector. This identifier is based on the order of the detectors in the
analysis_config
, starting at zero. If you specify a value for this property, it is ignored. -
exclude_frequent string
Values are
all
,none
,by
, orover
. -
field_name string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
function string
The analysis function that is used. For example,
count
,rare
,mean
,min
,max
, orsum
. -
over_field_name string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
partition_field_name string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
use_null boolean
Defines whether a new series is used as the null series when there is no value for the by or partition fields.
-
-
influencers array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
latency string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
model_prune_window string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
multivariate_by_fields boolean
This functionality is reserved for internal use. It is not supported for use in customer environments and is not subject to the support SLA of official GA features. If set to
true
, the analysis will automatically find correlations between metrics for a given by field value and report anomalies when those correlations cease to hold. For example, suppose CPU and memory usage on host A is usually highly correlated with the same metrics on host B. Perhaps this correlation occurs because they are running a load-balanced application. If you enable this property, anomalies will be reported when, for example, CPU usage on host A is high and the value of CPU usage on host B is low. That is to say, you’ll see an anomaly when the CPU of host A is unusual given the CPU of host B. To use themultivariate_by_fields
property, you must also specifyby_field_name
in your detector. -
per_partition_categorization object
Hide per_partition_categorization attributes Show per_partition_categorization attributes object
-
enabled boolean
To enable this setting, you must also set the
partition_field_name
property to the same value in every detector that uses the keywordmlcategory
. Otherwise, job creation fails. -
stop_on_warn boolean
This setting can be set to true only if per-partition categorization is enabled. If true, both categorization and subsequent anomaly detection stops for partitions where the categorization status changes to warn. This setting makes it viable to have a job where it is expected that categorization works well for some partitions but not others; you do not pay the cost of bad categorization forever in the partitions where it works badly.
-
-
summary_count_field_name string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
analysis_limits object
Hide analysis_limits attributes Show analysis_limits attributes object
-
The maximum number of examples stored per category in memory and in the results data store. If you increase this value, more examples are available, however it requires that you have more storage available. If you set this value to 0, no examples are stored. NOTE: The
categorization_examples_limit
applies only to analysis that uses categorization. -
model_memory_limit string
The approximate maximum amount of memory resources that are required for analytical processing. Once this limit is approached, data pruning becomes more aggressive. Upon exceeding this limit, new entities are not modeled. If the
xpack.ml.max_model_memory_limit
setting has a value greater than 0 and less than 1024mb, that value is used instead of the default. The default value is relatively small to ensure that high resource usage is a conscious decision. If you have jobs that are expected to analyze high cardinality fields, you will likely need to use a higher value. If you specify a number instead of a string, the units are assumed to be MiB. Specifying a string is recommended for clarity. If you specify a byte size unit ofb
orkb
and the number does not equate to a discrete number of megabytes, it is rounded down to the closest MiB. The minimum valid value is 1 MiB. If you specify a value less than 1 MiB, an error occurs. If you specify a value for thexpack.ml.max_model_memory_limit
setting, an error occurs when you try to create jobs that havemodel_memory_limit
values greater than that setting value.
-
-
background_persist_interval string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
custom_settings object
Custom metadata about the job
-
Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies a period of time (in days) after which only the first snapshot per day is retained. This period is relative to the timestamp of the most recent snapshot for this job.
-
Hide data_description attributes Show data_description attributes object
-
format string
Only JSON format is supported at this time.
-
time_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
time_format string
The time format, which can be
epoch
,epoch_ms
, or a custom pattern. The valueepoch
refers to UNIX or Epoch time (the number of seconds since 1 Jan 1970). The valueepoch_ms
indicates that time is measured in milliseconds since the epoch. Theepoch
andepoch_ms
time formats accept either integer or real values. Custom patterns must conform to the Java DateTimeFormatter class. When you use date-time formatting patterns, it is recommended that you provide the full date, time and time zone. For example:yyyy-MM-dd'T'HH:mm:ssX
. If the pattern that you specify is not sufficient to produce a complete timestamp, job creation fails. -
field_delimiter string
-
-
datafeed_config object
Hide datafeed_config attributes Show datafeed_config attributes object
-
aggregations object
If set, the datafeed performs aggregation searches. Support for aggregations is limited and should be used only with low cardinality data.
-
chunking_config object
Hide chunking_config attributes Show chunking_config attributes object
-
datafeed_id string
-
delayed_data_check_config object
Hide delayed_data_check_config attributes Show delayed_data_check_config attributes object
-
check_window string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
Specifies whether the datafeed periodically checks for delayed data.
-
-
frequency string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
indices string | array[string]
-
indices_options object
Hide indices_options attributes Show indices_options attributes object
-
allow_no_indices 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
. -
expand_wildcards string | array[string]
-
ignore_unavailable boolean
If true, missing or closed indices are not included in the response.
-
ignore_throttled boolean
If true, concrete, expanded or aliased indices are ignored when frozen.
-
-
job_id string
-
max_empty_searches number
If a real-time datafeed has never seen any data (including during any initial training period) then it will automatically stop itself and close its associated job after this many real-time searches that return no documents. In other words, it will stop after
frequency
timesmax_empty_searches
of real-time operation. If not set then a datafeed with no end time that sees no data will remain started until it is explicitly stopped. -
query object
Hide query attributes Show query attributes object
-
bool object
Hide bool attributes Show bool attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
filter object | array[object]
The clause (query) must appear in matching documents. However, unlike
must
, the score of the query will be ignored.minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
must object | array[object]
The clause (query) must appear in matching documents and will contribute to the score.
must_not object | array[object]
The clause (query) must not appear in the matching documents. Because scoring is ignored, a score of
0
is returned for all documents.should object | array[object]
The clause (query) should appear in the matching document.
-
-
boosting object
Hide boosting attributes Show boosting attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Floating point number between 0 and 1.0 used to decrease the relevance scores of documents matching the
negative
query.
-
-
combined_fields object
Hide combined_fields attributes Show combined_fields attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
Text to search for in the provided
fields
. Thecombined_fields
query analyzes the provided text before performing a search. -
If true, match phrase queries are automatically created for multi-term synonyms.
-
operator string
Values are
or
orand
. minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
zero_terms_query string
Values are
none
orall
.
-
-
constant_score object
Hide constant_score attributes Show constant_score attributes object
-
dis_max object
Hide dis_max attributes Show dis_max attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
One or more query clauses. Returned documents must match one or more of these queries. If a document matches multiple queries, Elasticsearch uses the highest relevance score.
-
tie_breaker number
Floating point number between 0 and 1.0 used to increase the relevance scores of documents matching multiple query clauses.
-
-
exists object
Hide exists attributes Show exists attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
function_score object
Hide function_score attributes Show function_score attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
boost_mode string
Values are
multiply
,replace
,sum
,avg
,max
, ormin
. -
functions array[object]
One or more functions that compute a new score for each document returned by the query.
-
max_boost number
Restricts the new score to not exceed the provided limit.
-
min_score number
Excludes documents that do not meet the provided score threshold.
-
query object
-
score_mode string
Values are
multiply
,sum
,avg
,first
,max
, ormin
.
-
-
fuzzy object
Returns documents that contain terms similar to the search term, as measured by a Levenshtein edit distance.
-
geo_bounding_box object
Hide geo_bounding_box attributes Show geo_bounding_box attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
type string
Values are
memory
orindexed
. -
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
geo_distance object
Hide geo_distance attributes Show geo_distance attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
distance_type string
Values are
arc
orplane
. -
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
geo_polygon object
Hide geo_polygon attributes Show geo_polygon attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
validation_method string
Values are
coerce
,ignore_malformed
, orstrict
. -
ignore_unmapped boolean
-
-
geo_shape object
Hide geo_shape attributes Show geo_shape attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Set to
true
to ignore an unmapped field and not match any documents for this query. Set tofalse
to throw an exception if the field is not mapped.
-
-
has_child object
Hide has_child attributes Show has_child attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
type
and not return any documents instead of an error. -
inner_hits object
Hide inner_hits attributes Show inner_hits attributes object
-
name string
-
size number
The maximum number of hits to return per
inner_hits
. -
from number
Inner hit starting document offset.
-
collapse object
-
docvalue_fields array[object]
-
explain boolean
-
ignore_unmapped boolean
-
seq_no_primary_term boolean
-
fields string | array[string]
-
stored_fields string | array[string]
-
track_scores boolean
-
version boolean
-
-
max_children number
Maximum number of child documents that match the query allowed for a returned parent document. If the parent document exceeds this limit, it is excluded from the search results.
-
min_children number
Minimum number of child documents that match the query required to match the query for a returned parent document. If the parent document does not meet this limit, it is excluded from the search results.
-
score_mode string
Values are
none
,avg
,sum
,max
, ormin
.
-
-
has_parent object
Hide has_parent attributes Show has_parent attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
parent_type
and not return any documents instead of an error. You can use this parameter to query multiple indices that may not contain theparent_type
. -
inner_hits object
Hide inner_hits attributes Show inner_hits attributes object
-
name string
-
size number
The maximum number of hits to return per
inner_hits
. -
from number
Inner hit starting document offset.
-
collapse object
-
docvalue_fields array[object]
-
explain boolean
-
ignore_unmapped boolean
-
seq_no_primary_term boolean
-
fields string | array[string]
-
stored_fields string | array[string]
-
track_scores boolean
-
version boolean
-
-
score boolean
Indicates whether the relevance score of a matching parent document is aggregated into its child documents.
-
-
ids object
Hide ids attributes Show ids attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
values string | array[string]
-
-
intervals object
Returns documents based on the order and proximity of matching terms.
-
knn object
Hide knn attributes Show knn attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
query_vector array[number]
-
query_vector_builder object
Hide query_vector_builder attribute Show query_vector_builder attribute object
-
text_embedding object
-
-
num_candidates number
The number of nearest neighbor candidates to consider per shard
-
k number
The final number of nearest neighbors to return as top hits
filter object | array[object]
Filters for the kNN search query
-
similarity number
The minimum similarity for a vector to be considered a match
-
-
match object
Returns documents that match a provided text, number, date or boolean value. The provided text is analyzed before matching.
-
match_all object
Hide match_all attributes Show match_all attributes object
-
match_bool_prefix object
Analyzes its input and constructs a
bool
query from the terms. Each term except the last is used in aterm
query. The last term is used in a prefix query. -
match_none object
Hide match_none attributes Show match_none attributes object
-
match_phrase object
Analyzes the text and creates a phrase query out of the analyzed text.
-
match_phrase_prefix object
Returns documents that contain the words of a provided text, in the same order as provided. The last term of the provided text is treated as a prefix, matching any words that begin with that term.
-
more_like_this object
Hide more_like_this attributes Show more_like_this attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
The analyzer that is used to analyze the free form text. Defaults to the analyzer associated with the first field in fields.
-
boost_terms number
Each term in the formed query could be further boosted by their tf-idf score. This sets the boost factor to use when using this feature. Defaults to deactivated (0).
-
fail_on_unsupported_field boolean
Controls whether the query should fail (throw an exception) if any of the specified fields are not of the supported types (
text
orkeyword
). -
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
include boolean
Specifies whether the input documents should also be included in the search results returned.
-
max_doc_freq number
The maximum document frequency above which the terms are ignored from the input document.
-
max_query_terms number
The maximum number of query terms that can be selected.
-
max_word_length number
The maximum word length above which the terms are ignored. Defaults to unbounded (
0
). -
min_doc_freq number
The minimum document frequency below which the terms are ignored from the input document.
minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
min_term_freq number
The minimum term frequency below which the terms are ignored from the input document.
-
min_word_length number
The minimum word length below which the terms are ignored.
-
routing string
stop_words string | array[string]
Language value, such as arabic or thai. Defaults to english. Each language value corresponds to a predefined list of stop words in Lucene. See Stop words by language for supported language values and their stop words. Also accepts an array of stop words.
-
unlike array[string | object]
-
version number
-
version_type string
Values are
internal
,external
,external_gte
, orforce
.
-
-
multi_match object
Hide multi_match attributes Show multi_match attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
Analyzer used to convert the text in the query value into tokens.
-
If
true
, match phrase queries are automatically created for multi-term synonyms. -
fields string | array[string]
fuzziness string | number
-
fuzzy_rewrite string
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). Can be applied to the term subqueries constructed for all terms but the final term. -
lenient boolean
If
true
, format-based errors, such as providing a text query value for a numeric field, are ignored. -
max_expansions number
Maximum number of terms to which the query will expand.
minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
operator string
Values are
and
,AND
,or
, orOR
. -
prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
Text, number, boolean value or date you wish to find in the provided field.
-
slop number
Maximum number of positions allowed between matching tokens.
-
tie_breaker number
Determines how scores for each per-term blended query and scores across groups are combined.
-
type string
Values are
best_fields
,most_fields
,cross_fields
,phrase
,phrase_prefix
, orbool_prefix
. -
zero_terms_query string
Values are
all
ornone
.
-
-
nested object
Hide nested attributes Show nested attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped path and not return any documents instead of an error.
-
inner_hits object
Hide inner_hits attributes Show inner_hits attributes object
-
name string
-
size number
The maximum number of hits to return per
inner_hits
. -
from number
Inner hit starting document offset.
-
collapse object
-
docvalue_fields array[object]
-
explain boolean
-
ignore_unmapped boolean
-
seq_no_primary_term boolean
-
fields string | array[string]
-
stored_fields string | array[string]
-
track_scores boolean
-
version boolean
-
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
score_mode string
Values are
none
,avg
,sum
,max
, ormin
.
-
-
parent_id object
Hide parent_id attributes Show parent_id attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
id string
-
ignore_unmapped boolean
Indicates whether to ignore an unmapped
type
and not return any documents instead of an error. -
type string
-
-
percolate object
Hide percolate attributes Show percolate attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
document object
The source of the document being percolated.
-
documents array[object]
An array of sources of the documents being percolated.
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
id string
-
index string
-
name string
The suffix used for the
_percolator_document_slot
field when multiplepercolate
queries are specified. -
preference string
Preference used to fetch document to percolate.
-
routing string
-
version number
-
-
pinned object
Hide pinned attributes Show pinned attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ids array[string]
Document IDs listed in the order they are to appear in results. Required if
docs
is not specified. -
docs array[object]
Documents listed in the order they are to appear in results. Required if
ids
is not specified.
-
-
prefix object
Returns documents that contain a specific prefix in a provided field.
-
query_string object
Hide query_string attributes Show query_string attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
allow_leading_wildcard boolean
If
true
, the wildcard characters*
and?
are allowed as the first character of the query string. -
analyzer string
Analyzer used to convert text in the query string into tokens.
-
analyze_wildcard boolean
If
true
, the query attempts to analyze wildcard terms in the query string. -
If
true
, match phrase queries are automatically created for multi-term synonyms. -
default_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
default_operator string
Values are
and
,AND
,or
, orOR
. -
enable_position_increments boolean
If
true
, enable position increments in queries constructed from aquery_string
search. -
escape boolean
-
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
fuzziness string | number
-
fuzzy_max_expansions number
Maximum number of terms to which the query expands for fuzzy matching.
-
fuzzy_prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
fuzzy_rewrite string
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). -
lenient boolean
If
true
, format-based errors, such as providing a text value for a numeric field, are ignored. -
max_determinized_states number
Maximum number of automaton states required for the query.
minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
phrase_slop number
Maximum number of positions allowed between matching tokens for phrases.
-
Query string you wish to parse and use for search.
-
quote_analyzer string
Analyzer used to convert quoted text in the query string into tokens. For quoted text, this parameter overrides the analyzer specified in the
analyzer
parameter. -
quote_field_suffix string
Suffix appended to quoted text in the query string. You can use this suffix to use a different analysis method for exact matches.
-
rewrite string
-
tie_breaker number
How to combine the queries generated from the individual search terms in the resulting
dis_max
query. -
time_zone string
-
type string
Values are
best_fields
,most_fields
,cross_fields
,phrase
,phrase_prefix
, orbool_prefix
.
-
-
range object
Returns documents that contain terms within a provided range.
-
rank_feature object
Hide rank_feature attributes Show rank_feature attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
saturation object
-
log object
-
linear object
-
sigmoid object
-
-
regexp object
Returns documents that contain terms matching a regular expression.
-
rule object
Hide rule attributes Show rule attributes object
-
script object
Hide script attributes Show script attributes object
-
script_score object
Hide script_score attributes Show script_score attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
min_score number
Documents with a score lower than this floating point number are excluded from the search results.
-
-
semantic object
Hide semantic attributes Show semantic attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
The field to query, which must be a semantic_text field type
-
The query text
-
-
shape object
Hide shape attributes Show shape attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
ignore_unmapped boolean
When set to
true
the query ignores an unmapped field and will not match any documents.
-
-
simple_query_string object
Hide simple_query_string attributes Show simple_query_string attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
analyzer string
Analyzer used to convert text in the query string into tokens.
-
analyze_wildcard boolean
If
true
, the query attempts to analyze wildcard terms in the query string. -
If
true
, the parser creates a match_phrase query for each multi-position token. -
default_operator string
Values are
and
,AND
,or
, orOR
. -
fields array[string]
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
fuzzy_max_expansions number
Maximum number of terms to which the query expands for fuzzy matching.
-
fuzzy_prefix_length number
Number of beginning characters left unchanged for fuzzy matching.
-
fuzzy_transpositions boolean
If
true
, edits for fuzzy matching include transpositions of two adjacent characters (for example,ab
toba
). -
lenient boolean
If
true
, format-based errors, such as providing a text value for a numeric field, are ignored. minimum_should_match number | string
The minimum number of terms that should match as integer, percentage or range
-
Query string in the simple query string syntax you wish to parse and use for search.
-
quote_field_suffix string
Suffix appended to quoted text in the query string.
-
-
span_containing object
Hide span_containing attributes Show span_containing attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Hide big attributes Show big attributes object
-
Hide little attributes Show little attributes object
-
-
span_field_masking object
Hide span_field_masking attributes Show span_field_masking attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
Hide query attributes Show query attributes object
-
-
span_first object
Hide span_first attributes Show span_first attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Controls the maximum end position permitted in a match.
-
Hide match attributes Show match attributes object
-
-
span_multi object
Hide span_multi attributes Show span_multi attributes object
-
span_near object
Hide span_near attributes Show span_near attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
in_order boolean
Controls whether matches are required to be in-order.
-
slop number
Controls the maximum number of intervening unmatched positions permitted.
-
-
span_not object
Hide span_not attributes Show span_not attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
dist number
The number of tokens from within the include span that can’t have overlap with the exclude span. Equivalent to setting both
pre
andpost
. -
Hide exclude attributes Show exclude attributes object
-
Hide include attributes Show include attributes object
-
post number
The number of tokens after the include span that can’t have overlap with the exclude span.
-
pre number
The number of tokens before the include span that can’t have overlap with the exclude span.
-
-
span_or object
Hide span_or attributes Show span_or attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Array of one or more other span type queries.
-
-
span_term object
Matches spans containing a term.
-
span_within object
Hide span_within attributes Show span_within attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Hide big attributes Show big attributes object
-
Hide little attributes Show little attributes object
-
-
sparse_vector object
Hide sparse_vector attributes Show sparse_vector attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
query string
The query text you want to use for search. If inference_id is specified, query must also be specified.
-
prune boolean
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_config object
-
query_vector object
Dictionary of precomputed sparse vectors and their associated weights. Only one of inference_id or query_vector may be supplied in a request.
-
inference_id string
-
-
term object
Returns documents that contain an exact term in a provided field. To return a document, the query term must exactly match the queried field's value, including whitespace and capitalization.
-
terms object
Hide terms attributes Show terms attributes object
-
terms_set object
Returns documents that contain a minimum number of exact terms in a provided field. To return a document, a required number of terms must exactly match the field values, including whitespace and capitalization.
-
Uses a natural language processing model to convert the query text into a list of token-weight pairs which are then used in a query against a sparse vector or rank features field.
-
Supports returning text_expansion query results by sending in precomputed tokens with the query.
-
wildcard object
Returns documents that contain terms matching a wildcard pattern.
-
wrapper object
Hide wrapper attributes Show wrapper attributes object
-
boost number
Floating point number used to decrease or increase the relevance scores of the query. Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.
-
_name string
-
A base64 encoded query. The binary data format can be any of JSON, YAML, CBOR or SMILE encodings
-
-
type object
Hide type attributes Show type attributes object
-
-
query_delay string
A duration. Units can be
nanos
,micros
,ms
(milliseconds),s
(seconds),m
(minutes),h
(hours) andd
(days). Also accepts "0" without a unit and "-1" to indicate an unspecified value. -
runtime_mappings object
Hide runtime_mappings attributes Show runtime_mappings attributes object
-
fields object
Hide fields attributes Show fields attributes object
-
Values are
boolean
,composite
,date
,double
,geo_point
,ip
,keyword
,long
, orlookup
.
-
fetch_fields array[object]
For type
lookup
-
format string
A custom format for
date
type runtime fields. -
input_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
target_field string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
target_index string
-
script object
Hide script attributes Show script attributes object
-
source string
The script source.
-
id string
-
params object
Specifies any named parameters that are passed into the script as variables. Use parameters instead of hard-coded values to decrease compile time.
Hide params attributes Show params attributes object
-
key object
-
options object
Hide options attributes Show options attributes object
-
key string
-
-
Values are
boolean
,composite
,date
,double
,geo_point
,ip
,keyword
,long
, orlookup
.
-
script_fields object
Hide script_fields attributes Show script_fields attributes object
-
Hide script attributes Show script attributes object
-
source string
The script source.
-
id string
-
params object
Specifies any named parameters that are passed into the script as variables. Use parameters instead of hard-coded values to decrease compile time.
Hide params attributes Show params attributes object
-
key object
-
options object
Hide options attributes Show options attributes object
-
key string
-
-
ignore_failure boolean
-
scroll_size number
The size parameter that is used in Elasticsearch searches when the datafeed does not use aggregations. The maximum value is the value of
index.max_result_window
, which is 10,000 by default.
-
-
description string
A description of the job.
-
groups array[string]
A list of job groups. A job can belong to no groups or many.
-
job_id string
-
job_type string
Reserved for future use, currently set to
anomaly_detector
. -
model_plot_config object
Hide model_plot_config attributes Show model_plot_config attributes object
-
annotations_enabled boolean
If true, enables calculation and storage of the model change annotations for each entity that is being analyzed.
-
enabled boolean
If true, enables calculation and storage of the model bounds for each entity that is being analyzed.
-
terms string
Path to field or array of paths. Some API's support wildcards in the path to select multiple fields.
-
-
Advanced configuration option, which affects the automatic removal of old model snapshots for this job. It specifies the maximum period of time (in days) that snapshots are retained. This period is relative to the timestamp of the most recent snapshot for this job. The default value is
10
, which means snapshots ten days older than the newest snapshot are deleted. -
renormalization_window_days number
Advanced configuration option. The period over which adjustments to the score are applied, as new data is seen. The default value is the longer of 30 days or 100
bucket_spans
. -
results_index_name string
-
results_retention_days number
Advanced configuration option. The period of time (in days) that results are retained. Age is calculated relative to the timestamp of the latest bucket result. If this property has a non-null value, once per day at 00:30 (server time), results that are the specified number of days older than the latest bucket result are deleted from Elasticsearch. The default value is null, which means all results are retained. Annotations generated by the system also count as results for retention purposes; they are deleted after the same number of days as results. Annotations added by users are retained forever.
-
curl \
-X POST http://api.example.com/_ml/datafeeds/_preview \
-H "Content-Type: application/json" \
-d '{"datafeed_config":{"aggregations":{},"chunking_config":{"mode":"auto","time_span":"string"},"datafeed_id":"string","delayed_data_check_config":{"check_window":"string","enabled":true},"frequency":"string","indices":"string","indices_options":{"allow_no_indices":true,"expand_wildcards":"string","ignore_unavailable":true,"ignore_throttled":true},"job_id":"string","max_empty_searches":42.0,"query":{"":{"boost":42.0,"_name":"string","value":"string"},"common":{},"fuzzy":{},"intervals":{},"match":{},"match_bool_prefix":{},"match_phrase":{},"match_phrase_prefix":{},"prefix":{},"range":{},"regexp":{},"span_term":{},"term":{},"terms_set":{},"text_expansion":{},"weighted_tokens":{},"wildcard":{}},"query_delay":"string","":{"fields":{"type":"boolean"},"fetch_fields":[{"field":"string","format":"string"}],"format":"string","input_field":"string","target_field":"string","target_index":"string","script":{"source":"string","id":"string","params":{"key":{}},"":"painless","options":{"key":"string"}},"type":"boolean"},"script_fields":{"script":{"source":"string","id":"string","params":{"key":{}},"":"painless","options":{"key":"string"}},"ignore_failure":true},"scroll_size":42.0},"job_config":{"allow_lazy_open":true,"analysis_config":{"bucket_span":"string","":"string","categorization_field_name":"string","categorization_filters":["string"],"detectors":[{"by_field_name":"string","custom_rules":[{"actions":["skip_result"],"conditions":[{}]}],"detector_description":"string","detector_index":42.0,"exclude_frequent":"all","field_name":"string","function":"string","over_field_name":"string","partition_field_name":"string","use_null":true}],"influencers":["string"],"latency":"string","model_prune_window":"string","multivariate_by_fields":true,"per_partition_categorization":{"enabled":true,"stop_on_warn":true},"summary_count_field_name":"string"},"analysis_limits":{"categorization_examples_limit":42.0,"model_memory_limit":"string"},"background_persist_interval":"string","custom_settings":{},"daily_model_snapshot_retention_after_days":42.0,"data_description":{"format":"string","time_field":"string","time_format":"string","field_delimiter":"string"},"datafeed_config":{"aggregations":{},"chunking_config":{"mode":"auto","time_span":"string"},"datafeed_id":"string","delayed_data_check_config":{"check_window":"string","enabled":true},"frequency":"string","indices":"string","indices_options":{"allow_no_indices":true,"expand_wildcards":"string","ignore_unavailable":true,"ignore_throttled":true},"job_id":"string","max_empty_searches":42.0,"query":{"":{"boost":42.0,"_name":"string","value":"string"},"common":{},"fuzzy":{},"intervals":{},"match":{},"match_bool_prefix":{},"match_phrase":{},"match_phrase_prefix":{},"prefix":{},"range":{},"regexp":{},"span_term":{},"term":{},"terms_set":{},"text_expansion":{},"weighted_tokens":{},"wildcard":{}},"query_delay":"string","":{"fields":{"type":"boolean"},"fetch_fields":[{"field":"string","format":"string"}],"format":"string","input_field":"string","target_field":"string","target_index":"string","script":{"source":"string","id":"string","params":{"key":{}},"":"painless","options":{"key":"string"}},"type":"boolean"},"script_fields":{"script":{"source":"string","id":"string","params":{"key":{}},"":"painless","options":{"key":"string"}},"ignore_failure":true},"scroll_size":42.0},"description":"string","groups":["string"],"job_id":"string","job_type":"string","model_plot_config":{"annotations_enabled":true,"enabled":true,"terms":"string"},"model_snapshot_retention_days":42.0,"renormalization_window_days":42.0,"results_index_name":"string","results_retention_days":42.0}}'