The following options can be applied to all of the REST APIs.
When 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.
Statistics are returned in a format suitable for humans
(e.g. "exists_time": "1h"
or "size": "1kb"
) and for computers
(e.g. "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
.
Most parameters which accept a formatted date value — such as gt
and lt
in range
queries, or from
and to
in daterange
aggregations — understand date maths.
The expression starts with an anchor date, which can either be now
, or a
date string ending with ||
. This anchor date can optionally be followed by
one or more maths expressions:
+1h
: Add one hour
-1d
: Subtract one day
/d
: Round down to the nearest day
The supported time units differ from those supported by time units for durations. The supported units are:
|
Years |
|
Months |
|
Weeks |
|
Days |
|
Hours |
|
Hours |
|
Minutes |
|
Seconds |
Assuming now
is 2001-01-01 12:00:00
, some examples are:
|
|
|
|
|
|
|
|
All 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:
GET /_search?q=elasticsearch&filter_path=took,hits.hits._id,hits.hits._score
Responds:
{ "took" : 3, "hits" : { "hits" : [ { "_id" : "0", "_score" : 1.6375021 } ] } }
It also supports the *
wildcard character to match any field or part
of a field’s name:
GET /_cluster/state?filter_path=metadata.indices.*.stat*
Responds:
{ "metadata" : { "indices" : { "twitter": {"state": "open"} } } }
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:
GET /_cluster/state?filter_path=routing_table.indices.**.state
Responds:
{ "routing_table": { "indices": { "twitter": { "shards": { "0": [{"state": "STARTED"}, {"state": "UNASSIGNED"}] } } } } }
It is also possible to exclude one or more fields by prefixing the filter with the char -
:
GET /_count?filter_path=-_shards
Responds:
{ "count" : 5 }
And for more control, both inclusive and exclusive filters can be combined in the same expression. In this case, the exclusive filters will be applied first and the result will be filtered again using the inclusive filters:
GET /_cluster/state?filter_path=metadata.indices.*.state,-metadata.indices.logstash-*
Responds:
{ "metadata" : { "indices" : { "index-1" : {"state" : "open"}, "index-2" : {"state" : "open"}, "index-3" : {"state" : "open"} } } }
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:
POST /library/book?refresh {"title": "Book #1", "rating": 200.1} POST /library/book?refresh {"title": "Book #2", "rating": 1.7} POST /library/book?refresh {"title": "Book #3", "rating": 0.1} GET /_search?filter_path=hits.hits._source&_source=title&sort=rating:desc
{ "hits" : { "hits" : [ { "_source":{"title":"Book #1"} }, { "_source":{"title":"Book #2"} }, { "_source":{"title":"Book #3"} } ] } }
The flat_settings
flag affects rendering of the lists of settings. When the
flat_settings
flag is true
, settings are returned in a flat format:
GET twitter/_settings?flat_settings=true
Returns:
{ "twitter" : { "settings": { "index.number_of_replicas": "1", "index.number_of_shards": "1", "index.creation_date": "1474389951325", "index.uuid": "n6gzFZTgS664GUfx0Xrpjw", "index.version.created": ..., "index.provided_name" : "twitter" } } }
When the flat_settings
flag is false
, settings are returned in a more
human readable structured format:
GET twitter/_settings?flat_settings=false
Returns:
{ "twitter" : { "settings" : { "index" : { "number_of_replicas": "1", "number_of_shards": "1", "creation_date": "1474389951325", "uuid": "n6gzFZTgS664GUfx0Xrpjw", "version": { "created": ... }, "provided_name" : "twitter" } } } }
By default flat_settings
is set to false
.
Rest parameters (when using HTTP, map to HTTP URL parameters) follow the convention of using underscore casing.
All REST API parameters (both request parameters and JSON body) support
providing boolean "false" as the value false
and boolean "true" as the
value true
. All other values will raise an error.
All REST APIs support providing numbered parameters as string
on top
of supporting the native JSON number types.
Whenever durations need to be specified, e.g. for a timeout
parameter, the duration must specify
the unit, like 2d
for 2 days. The supported units are:
|
Days |
|
Hours |
|
Minutes |
|
Seconds |
|
Milliseconds |
|
Microseconds |
|
Nanoseconds |
Whenever the byte size of data needs to be specified, e.g. when setting a buffer size
parameter, the value must specify the unit, like 10kb
for 10 kilobytes. Note that
these units use powers of 1024, so 1kb
means 1024 bytes. The supported units are:
|
Bytes |
|
Kilobytes |
|
Megabytes |
|
Gigabytes |
|
Terabytes |
|
Petabytes |
Unit-less quantities means that they don’t have a "unit" like "bytes" or "Hertz" or "meter" or "long tonne".
If one of these quantities is large we’ll print it out like 10m for 10,000,000 or 7k for 7,000. We’ll still print 87 when we mean 87 though. These are the supported multipliers:
|
Kilo |
|
Mega |
|
Giga |
|
Tera |
|
Peta |
Wherever distances need to be specified, such as the distance
parameter in
the Geo Distance Query), the default unit is meters if none is specified.
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 |
|
Some queries and APIs support parameters to allow inexact fuzzy matching,
using the fuzziness
parameter.
When querying text
or keyword
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:
|
The maximum allowed Levenshtein Edit Distance (or number of edits) |
|
Generates an edit distance based on the length of the term.
Low and high distance arguments may be optionally provided
|
By default when a request returns an error Elasticsearch doesn’t include the
stack trace of the error. You can enable that behavior by setting the
error_trace
url parameter to true
. For example, by default when you send an
invalid size
parameter to the _search
API:
POST /twitter/_search?size=surprise_me
The response looks like:
{ "error" : { "root_cause" : [ { "type" : "illegal_argument_exception", "reason" : "Failed to parse int parameter [size] with value [surprise_me]" } ], "type" : "illegal_argument_exception", "reason" : "Failed to parse int parameter [size] with value [surprise_me]", "caused_by" : { "type" : "number_format_exception", "reason" : "For input string: \"surprise_me\"" } }, "status" : 400 }
But if you set error_trace=true
:
POST /twitter/_search?size=surprise_me&error_trace=true
The response looks like:
{ "error": { "root_cause": [ { "type": "illegal_argument_exception", "reason": "Failed to parse int parameter [size] with value [surprise_me]", "stack_trace": "Failed to parse int parameter [size] with value [surprise_me]]; nested: IllegalArgumentException..." } ], "type": "illegal_argument_exception", "reason": "Failed to parse int parameter [size] with value [surprise_me]", "stack_trace": "java.lang.IllegalArgumentException: Failed to parse int parameter [size] with value [surprise_me]\n at org.elasticsearch.rest.RestRequest.paramAsInt(RestRequest.java:175)...", "caused_by": { "type": "number_format_exception", "reason": "For input string: \"surprise_me\"", "stack_trace": "java.lang.NumberFormatException: For input string: \"surprise_me\"\n at java.lang.NumberFormatException.forInputString(NumberFormatException.java:65)..." } }, "status": 400 }
For 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. When using this method, the source_content_type
parameter
should also be passed with a media type value that indicates the format
of the source, such as application/json
.
The type of the content sent in a request body must be specified using
the Content-Type
header. The value of this header must map to one of
the supported formats that the API supports. Most APIs support JSON,
YAML, CBOR, and SMILE. The bulk and multi-search APIs support NDJSON,
JSON, and SMILE; other types will result in an error response.
Additionally, when using the source
query string parameter, the
content type must be specified using the source_content_type
query
string parameter.