- 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
- 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
- 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
- More Like This Field 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 1.4 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.
Multi Get API
editMulti Get API
editMulti GET API allows to get multiple documents based on an index, type
(optional) and id (and possibly routing). The response includes a docs
array with all the fetched documents, each element similar in structure
to a document provided by the get
API. Here is an example:
curl 'localhost:9200/_mget' -d '{ "docs" : [ { "_index" : "test", "_type" : "type", "_id" : "1" }, { "_index" : "test", "_type" : "type", "_id" : "2" } ] }'
The mget
endpoint can also be used against an index (in which case it
is not required in the body):
curl 'localhost:9200/test/_mget' -d '{ "docs" : [ { "_type" : "type", "_id" : "1" }, { "_type" : "type", "_id" : "2" } ] }'
And type:
curl 'localhost:9200/test/type/_mget' -d '{ "docs" : [ { "_id" : "1" }, { "_id" : "2" } ] }'
In which case, the ids
element can directly be used to simplify the
request:
curl 'localhost:9200/test/type/_mget' -d '{ "ids" : ["1", "2"] }'
Optional Type
editThe mget API allows for _type
to be optional. Set it to _all
or leave it empty in order
to fetch the first document matching the id across all types.
If you don’t set the type and have many documents sharing the same _id
, you will end up
getting only the first matching document.
For example, if you have a document 1 within typeA and typeB then following request will give you back only the same document twice:
curl 'localhost:9200/test/_mget' -d '{ "ids" : ["1", "1"] }'
You need in that case to explicitly set the _type
:
GET /test/_mget/ { "docs" : [ { "_type":"typeA", "_id" : "1" }, { "_type":"typeB", "_id" : "1" } ] }
Source filtering
editBy default, the _source
field will be returned for every document (if stored).
Similar to the get API, you can retrieve only parts of
the _source
(or not at all) by using the _source
parameter. You can also use
the url parameters _source
,_source_include
& _source_exclude
to specify defaults,
which will be used when there are no per-document instructions.
For example:
curl 'localhost:9200/_mget' -d '{ "docs" : [ { "_index" : "test", "_type" : "type", "_id" : "1", "_source" : false }, { "_index" : "test", "_type" : "type", "_id" : "2", "_source" : ["field3", "field4"] }, { "_index" : "test", "_type" : "type", "_id" : "3", "_source" : { "include": ["user"], "exclude": ["user.location"] } } ] }'
Fields
editSpecific stored fields can be specified to be retrieved per document to get, similar to the fields parameter of the Get API. For example:
curl 'localhost:9200/_mget' -d '{ "docs" : [ { "_index" : "test", "_type" : "type", "_id" : "1", "fields" : ["field1", "field2"] }, { "_index" : "test", "_type" : "type", "_id" : "2", "fields" : ["field3", "field4"] } ] }'
Alternatively, you can specify the fields
parameter in the query string
as a default to be applied to all documents.
curl 'localhost:9200/test/type/_mget?fields=field1,field2' -d '{ "docs" : [ { "_id" : "1" }, { "_id" : "2", "fields" : ["field3", "field4"] } ] }'
Generated fields
editAdded in 1.4.0.Beta1.
See Generated fields for fields are generated only when indexing.
Routing
editYou can also specify routing value as a parameter:
curl 'localhost:9200/_mget?routing=key1' -d '{ "docs" : [ { "_index" : "test", "_type" : "type", "_id" : "1", "_routing" : "key2" }, { "_index" : "test", "_type" : "type", "_id" : "2" } ] }'
In this example, document test/type/2
will be fetch from shard corresponding to routing key key1
but
document test/type/1
will be fetch from shard corresponding to routing key key2
.