- Elasticsearch Guide: other versions:
- Getting Started
- Setup
- Breaking changes
- API Conventions
- Document APIs
- Search APIs
- Search
- URI Search
- Request Body Search
- Search Template
- Search Shards API
- Aggregations
- Min Aggregation
- Max Aggregation
- Sum Aggregation
- Avg Aggregation
- Stats Aggregation
- Extended Stats Aggregation
- Value Count Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Cardinality Aggregation
- Geo Bounds Aggregation
- Top hits Aggregation
- Scripted Metric Aggregation
- Global Aggregation
- Filter Aggregation
- Filters Aggregation
- Missing Aggregation
- Nested Aggregation
- Reverse nested Aggregation
- Children Aggregation
- Terms Aggregation
- Significant Terms Aggregation
- Range Aggregation
- Date Range Aggregation
- IPv4 Range Aggregation
- Histogram Aggregation
- Date Histogram Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- Facets
- Suggesters
- Multi Search API
- Count API
- Search Exists API
- Validate API
- Explain API
- Percolator
- More Like This API
- Field stats API
- Indices APIs
- Create Index
- Delete Index
- Get Index
- Indices Exists
- Open / Close Index API
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
- Delete Mapping
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Index Templates
- Warmers
- Status
- Indices Stats
- Indices Segments
- Indices Recovery
- Clear Cache
- Flush
- Refresh
- Optimize
- Shadow replica indices
- Upgrade
- cat APIs
- Cluster APIs
- Query DSL
- Queries
- Match Query
- Multi Match Query
- Bool Query
- Boosting Query
- Common Terms Query
- Constant Score Query
- Dis Max Query
- Filtered Query
- Fuzzy Like This Query
- Fuzzy Like This Field Query
- Function Score Query
- Fuzzy Query
- GeoShape Query
- Has Child Query
- Has Parent Query
- Ids Query
- Indices Query
- Match All Query
- More Like This Query
- Nested Query
- Prefix Query
- Query String Query
- Simple Query String Query
- Range Query
- Regexp Query
- Span First Query
- Span Multi Term Query
- Span Near Query
- Span Not Query
- Span Or Query
- Span Term Query
- Term Query
- Terms Query
- Top Children Query
- Wildcard Query
- Minimum Should Match
- Multi Term Query Rewrite
- Template Query
- Filters
- And Filter
- Bool Filter
- Exists Filter
- Geo Bounding Box Filter
- Geo Distance Filter
- Geo Distance Range Filter
- Geo Polygon Filter
- GeoShape Filter
- Geohash Cell Filter
- Has Child Filter
- Has Parent Filter
- Ids Filter
- Indices Filter
- Limit Filter
- Match All Filter
- Missing Filter
- Nested Filter
- Not Filter
- Or Filter
- Prefix Filter
- Query Filter
- Range Filter
- Regexp Filter
- Script Filter
- Term Filter
- Terms Filter
- Type Filter
- Queries
- Mapping
- Analysis
- Analyzers
- Tokenizers
- Token Filters
- Standard Token Filter
- ASCII Folding Token Filter
- Length Token Filter
- Lowercase Token Filter
- Uppercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Snowball Token Filter
- Phonetic Token Filter
- Synonym Token Filter
- Compound Word Token Filter
- Reverse Token Filter
- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
- Common Grams Token Filter
- Normalization Token Filter
- CJK Width Token Filter
- CJK Bigram Token Filter
- Delimited Payload Token Filter
- Keep Words Token Filter
- Keep Types Token Filter
- Classic Token Filter
- Apostrophe Token Filter
- Character Filters
- ICU Analysis Plugin
- Modules
- Index Modules
- Testing
- Glossary of terms
WARNING: Version 1.7 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
Common options
editCommon options
editThe following options can be applied to all of the REST APIs.
Pretty Results
editWhen appending ?pretty=true
to any request made, the JSON returned
will be pretty formatted (use it for debugging only!). Another option is
to set ?format=yaml
which will cause the result to be returned in the
(sometimes) more readable yaml format.
Human readable output
editStatistics are returned in a format suitable for humans
(eg "exists_time": "1h"
or "size": "1kb"
) and for computers
(eg "exists_time_in_millis": 3600000
or "size_in_bytes": 1024
).
The human readable values can be turned off by adding ?human=false
to the query string. This makes sense when the stats results are
being consumed by a monitoring tool, rather than intended for human
consumption. The default for the human
flag is
false
.
Response Filtering
editAll REST APIs accept a filter_path
parameter that can be used to reduce
the response returned by elasticsearch. This parameter takes a comma
separated list of filters expressed with the dot notation:
curl -XGET 'localhost:9200/_search?pretty&filter_path=took,hits.hits._id,hits.hits._score' { "took" : 3, "hits" : { "hits" : [ { "_id" : "3640", "_score" : 1.0 }, { "_id" : "3642", "_score" : 1.0 } ] } }
It also supports the *
wildcard character to match any field or part
of a field’s name:
curl -XGET 'localhost:9200/_nodes/stats?filter_path=nodes.*.ho*' { "nodes" : { "lvJHed8uQQu4brS-SXKsNA" : { "host" : "portable" } } }
And the **
wildcard can be used to include fields without knowing the
exact path of the field. For example, we can return the Lucene version
of every segment with this request:
curl 'localhost:9200/_segments?pretty&filter_path=indices.**.version' { "indices" : { "movies" : { "shards" : { "0" : [ { "segments" : { "_0" : { "version" : "5.2.0" } } } ], "2" : [ { "segments" : { "_0" : { "version" : "5.2.0" } } } ] } }, "books" : { "shards" : { "0" : [ { "segments" : { "_0" : { "version" : "5.2.0" } } } ] } } } }
Note that elasticsearch sometimes returns directly the raw value of a field,
like the _source
field. If you want to filter _source fields, you should
consider combining the already existing _source
parameter (see
Get API for more details) with the filter_path
parameter like this:
curl -XGET 'localhost:9200/_search?pretty&filter_path=hits.hits._source&_source=title' { "hits" : { "hits" : [ { "_source":{"title":"Book #2"} }, { "_source":{"title":"Book #1"} }, { "_source":{"title":"Book #3"} } ] } }
Flat Settings
editThe flat_settings
flag affects rendering of the lists of settings. When
flat_settings
flag is true
settings are returned in a flat format:
{ "persistent" : { }, "transient" : { "discovery.zen.minimum_master_nodes" : "1" } }
When the flat_settings
flag is false
settings are returned in a more
human readable structured format:
{ "persistent" : { }, "transient" : { "discovery" : { "zen" : { "minimum_master_nodes" : "1" } } } }
By default the flat_settings
is set to false
.
Parameters
editRest parameters (when using HTTP, map to HTTP URL parameters) follow the convention of using underscore casing.
Boolean Values
editAll REST APIs parameters (both request parameters and JSON body) support
providing boolean "false" as the values: false
, 0
, no
and off
.
All other values are considered "true". Note, this is not related to
fields within a document indexed treated as boolean fields.
Number Values
editAll REST APIs support providing numbered parameters as string
on top
of supporting the native JSON number types.
Time units
editWhenever durations need to be specified, eg for a timeout
parameter, the duration
can be specified as a whole number representing time in milliseconds, or as a time value like 2d
for 2 days. The supported units are:
|
Year |
|
Month |
|
Week |
|
Day |
|
Hour |
|
Minute |
|
Second |
Distance Units
editWherever distances need to be specified, such as the distance
parameter in
the Geo Distance Filter), the default unit if none is specified is
the meter. Distances can be specified in other units, such as "1km"
or
"2mi"
(2 miles).
The full list of units is listed below:
Mile |
|
Yard |
|
Feet |
|
Inch |
|
Kilometer |
|
Meter |
|
Centimeter |
|
Millimeter |
|
Nautical mile |
|
The precision
parameter in the Geohash Cell Filter accepts
distances with the above units, but if no unit is specified, then the
precision is interpreted as the length of the geohash.
Fuzziness
editSome queries and APIs support parameters to allow inexact fuzzy matching,
using the fuzziness
parameter. The fuzziness
parameter is context
sensitive which means that it depends on the type of the field being queried:
Numeric, date and IPv4 fields
editWhen querying numeric, date and IPv4 fields, fuzziness
is interpreted as a
+/-
margin. It behaves like a Range Query where:
-fuzziness <= field value <= +fuzziness
The fuzziness
parameter should be set to a numeric value, eg 2
or 2.0
. A
date
field interprets a long as milliseconds, but also accepts a string
containing a time value — "1h"
— as explained in Time units. An ip
field accepts a long or another IPv4 address (which will be converted into a
long).
String fields
editWhen querying string
fields, fuzziness
is interpreted as a
Levenshtein Edit Distance — the number of one character changes that need to be made to one string to
make it the same as another string.
The fuzziness
parameter can be specified as:
-
0
,1
,2
- the maximum allowed Levenshtein Edit Distance (or number of edits)
-
AUTO
-
generates an edit distance based on the length of the term. For lengths:
-
0..2
- must match exactly
-
3..5
- one edit allowed
-
>5
- two edits allowed
AUTO
should generally be the preferred value forfuzziness
. -
-
0.0..1.0
-
[1.7.0]
Deprecated in 1.7.0. Support for similarity will be removed in Elasticsearch 2.0
converted into an edit distance using the formula:
length(term) * (1.0 - fuzziness)
, eg afuzziness
of0.6
with a term of length 10 would result in an edit distance of4
. Note: in all APIs except for the Fuzzy Like This Query, the maximum allowed edit distance is2
.
Result Casing
editAll REST APIs accept the case
parameter. When set to camelCase
, all
field names in the result will be returned in camel casing, otherwise,
underscore casing will be used. Note, this does not apply to the source
document indexed.
JSONP
editWhen enabled, all REST APIs accept a callback
parameter
resulting in a JSONP result. You can enable
this behavior by adding the following to config.yaml
:
http.jsonp.enable: true
Please note, when enabled, due to the architecture of Elasticsearch, this may pose a security risk. Under some circumstances, an attacker may be able to exfiltrate data in your Elasticsearch server if they’re able to force your browser to make a JSONP request on your behalf (e.g. by including a <script> tag on an untrusted site with a legitimate query against a local Elasticsearch server).
Request body in query string
editFor libraries that don’t accept a request body for non-POST requests,
you can pass the request body as the source
query string parameter
instead.
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