- Elasticsearch Guide: other versions:
- Getting Started
- Setup Elasticsearch
- Breaking changes
- Breaking changes in 5.1
- Breaking changes in 5.0
- Search and Query DSL changes
- Mapping changes
- Percolator changes
- Suggester changes
- Index APIs changes
- Document API changes
- Settings changes
- Allocation changes
- HTTP changes
- REST API changes
- CAT API changes
- Java API changes
- Packaging
- Plugin changes
- Filesystem related changes
- Path to data on disk
- Aggregation changes
- Script related changes
- API Conventions
- Document APIs
- Search APIs
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Cardinality Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
- Geo Centroid Aggregation
- Max Aggregation
- Min Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- Stats Aggregation
- Sum Aggregation
- Top hits Aggregation
- Value Count Aggregation
- Bucket Aggregations
- Children Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
- Nested Aggregation
- Range Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Cumulative Sum Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Metrics Aggregations
- Indices APIs
- Create Index
- Delete Index
- Get Index
- Indices Exists
- Open / Close Index API
- Shrink Index
- Rollover Index
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Index Templates
- Shadow replica indices
- Indices Stats
- Indices Segments
- Indices Recovery
- Indices Shard Stores
- Clear Cache
- Flush
- Refresh
- Force Merge
- cat APIs
- Cluster APIs
- Query DSL
- Mapping
- Analysis
- Anatomy of an analyzer
- Testing analyzers
- 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
- Decimal Digit Token Filter
- Fingerprint Token Filter
- Minhash Token Filter
- Character Filters
- Modules
- Index Modules
- Ingest Node
- Pipeline Definition
- Ingest APIs
- Accessing Data in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
- Convert Processor
- Date Processor
- Date Index Name Processor
- Fail Processor
- Foreach Processor
- Grok Processor
- Gsub Processor
- Join Processor
- JSON Processor
- Lowercase Processor
- Remove Processor
- Rename Processor
- Script Processor
- Set Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- Dot Expander Processor
- How To
- Testing
- Glossary of terms
- Release Notes
- 5.1.2 Release Notes
- 5.1.1 Release Notes
- 5.1.0 Release Notes
- 5.0.2 Release Notes
- 5.0.1 Release Notes
- 5.0.0 Combined Release Notes
- 5.0.0 GA Release Notes
- 5.0.0-rc1 Release Notes
- 5.0.0-beta1 Release Notes
- 5.0.0-alpha5 Release Notes
- 5.0.0-alpha4 Release Notes
- 5.0.0-alpha3 Release Notes
- 5.0.0-alpha2 Release Notes
- 5.0.0-alpha1 Release Notes
- 5.0.0-alpha1 Release Notes (Changes previously released in 2.x)
WARNING: Version 5.1 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 stored_fields parameter of the Get API. For example:
curl 'localhost:9200/_mget' -d '{ "docs" : [ { "_index" : "test", "_type" : "type", "_id" : "1", "stored_fields" : ["field1", "field2"] }, { "_index" : "test", "_type" : "type", "_id" : "2", "stored_fields" : ["field3", "field4"] } ] }'
Alternatively, you can specify the stored_fields
parameter in the query string
as a default to be applied to all documents.
curl 'localhost:9200/test/type/_mget?stored_fields=field1,field2' -d '{ "docs" : [ { "_id" : "1" }, { "_id" : "2", "stored_fields" : ["field3", "field4"] } ] }'
Generated fields
editSee Generated fields for fields 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
.