- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
- Heap size check
- File descriptor check
- Memory lock check
- Maximum number of threads check
- Max file size check
- Maximum size virtual memory check
- Maximum map count check
- Client JVM check
- Use serial collector check
- System call filter check
- OnError and OnOutOfMemoryError checks
- Early-access check
- G1GC check
- All permission check
- Discovery configuration check
- Starting Elasticsearch
- Stopping Elasticsearch
- Adding nodes to your cluster
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Weighted 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
- Median Absolute Deviation Aggregation
- Bucket Aggregations
- Adjacency Matrix Aggregation
- Auto-interval Date Histogram Aggregation
- Children Aggregation
- Composite Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- GeoTile Grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
- Nested Aggregation
- Parent Aggregation
- Range Aggregation
- Rare Terms Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text 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
- Moving Function Aggregation
- Cumulative Sum Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Metrics Aggregations
- Query DSL
- Search across clusters
- Scripting
- Mapping
- Analysis
- Anatomy of an analyzer
- Testing analyzers
- Analyzers
- Normalizers
- Tokenizers
- Standard Tokenizer
- Letter Tokenizer
- Lowercase Tokenizer
- Whitespace Tokenizer
- UAX URL Email Tokenizer
- Classic Tokenizer
- Thai Tokenizer
- NGram Tokenizer
- Edge NGram Tokenizer
- Keyword Tokenizer
- Pattern Tokenizer
- Char Group Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Path Hierarchy Tokenizer
- Path Hierarchy Tokenizer Examples
- Token Filters
- ASCII Folding Token Filter
- Flatten Graph 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
- Word Delimiter Graph Token Filter
- Multiplexer Token Filter
- Conditional Token Filter
- Predicate Token Filter Script
- 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
- Parsing synonym files
- Synonym Graph Token Filter
- Compound Word Token Filters
- 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
- Exclude mode settings example
- Classic Token Filter
- Apostrophe Token Filter
- Decimal Digit Token Filter
- Fingerprint Token Filter
- MinHash Token Filter
- Remove Duplicates Token Filter
- Character Filters
- Modules
- Index modules
- Ingest node
- Pipeline Definition
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
- Bytes Processor
- Convert Processor
- Date Processor
- Date Index Name Processor
- Dissect Processor
- Dot Expander Processor
- Drop Processor
- Fail Processor
- Foreach Processor
- GeoIP Processor
- Grok Processor
- Gsub Processor
- HTML Strip Processor
- Join Processor
- JSON Processor
- KV Processor
- Lowercase Processor
- Pipeline Processor
- Remove Processor
- Rename Processor
- Script Processor
- Set Processor
- Set Security User Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- URL Decode Processor
- User Agent processor
- Managing the index lifecycle
- Getting started with index lifecycle management
- Policy phases and actions
- Set up index lifecycle management policy
- Using policies to manage index rollover
- Update policy
- Index lifecycle error handling
- Restoring snapshots of managed indices
- Start and stop index lifecycle management
- Using ILM with existing indices
- SQL access
- Overview
- Getting Started with SQL
- Conventions and Terminology
- Security
- SQL REST API
- SQL Translate API
- SQL CLI
- SQL JDBC
- SQL ODBC
- SQL Client Applications
- SQL Language
- Functions and Operators
- Comparison Operators
- Logical Operators
- Math Operators
- Cast Operators
- LIKE and RLIKE Operators
- Aggregate Functions
- Grouping Functions
- Date/Time and Interval Functions and Operators
- Full-Text Search Functions
- Mathematical Functions
- String Functions
- Type Conversion Functions
- Geo Functions
- Conditional Functions And Expressions
- System Functions
- Reserved keywords
- SQL Limitations
- Monitor a cluster
- Frozen indices
- Roll up or transform your data
- Set up a cluster for high availability
- Secure a cluster
- Overview
- Configuring security
- Encrypting communications in Elasticsearch
- Encrypting communications in an Elasticsearch Docker Container
- Enabling cipher suites for stronger encryption
- Separating node-to-node and client traffic
- Configuring an Active Directory realm
- Configuring a file realm
- Configuring an LDAP realm
- Configuring a native realm
- Configuring a PKI realm
- Configuring a SAML realm
- Configuring a Kerberos realm
- Security files
- FIPS 140-2
- How security works
- User authentication
- Built-in users
- Internal users
- Token-based authentication services
- Realms
- Realm chains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- OpenID Connect authentication
- PKI user authentication
- SAML authentication
- Kerberos authentication
- Integrating with other authentication systems
- Enabling anonymous access
- Controlling the user cache
- Configuring SAML single-sign-on on the Elastic Stack
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
- Auditing security events
- Encrypting communications
- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
- Common SSL/TLS exceptions
- Common Kerberos exceptions
- Common SAML issues
- Internal Server Error in Kibana
- Setup-passwords command fails due to connection failure
- Failures due to relocation of the configuration files
- Limitations
- Alerting on cluster and index events
- Command line tools
- How To
- Testing
- Glossary of terms
- REST APIs
- API conventions
- cat APIs
- Cluster APIs
- Cross-cluster replication APIs
- Document APIs
- Explore API
- Index APIs
- Add index alias
- Analyze
- Clear cache
- Close index
- Create index
- Delete index
- Delete index alias
- Delete index template
- Flush
- Force merge
- Freeze index
- Get field mapping
- Get index
- Get index alias
- Get index settings
- Get index template
- Get mapping
- Index alias exists
- Index exists
- Index recovery
- Index segments
- Index shard stores
- Index stats
- Index template exists
- Open index
- Put index template
- Put mapping
- Refresh
- Rollover index
- Shrink index
- Split index
- Synced flush
- Type exists
- Unfreeze index
- Update index alias
- Update index settings
- Index lifecycle management API
- Ingest APIs
- Info API
- Licensing APIs
- Machine learning anomaly detection APIs
- Add events to calendar
- Add jobs to calendar
- Close jobs
- Create jobs
- Create calendar
- Create datafeeds
- Create filter
- Delete calendar
- Delete datafeeds
- Delete events from calendar
- Delete filter
- Delete forecast
- Delete jobs
- Delete jobs from calendar
- Delete model snapshots
- Delete expired data
- Find file structure
- Flush jobs
- Forecast jobs
- Get buckets
- Get calendars
- Get categories
- Get datafeeds
- Get datafeed statistics
- Get influencers
- Get jobs
- Get job statistics
- Get machine learning info
- Get model snapshots
- Get overall buckets
- Get scheduled events
- Get filters
- Get records
- Open jobs
- Post data to jobs
- Preview datafeeds
- Revert model snapshots
- Set upgrade mode
- Start datafeeds
- Stop datafeeds
- Update datafeeds
- Update filter
- Update jobs
- Update model snapshots
- Machine learning data frame analytics APIs
- Migration APIs
- Reload search analyzers
- Rollup APIs
- Search APIs
- Security APIs
- Authenticate
- Change passwords
- Clear cache
- Clear roles cache
- Create API keys
- Create or update application privileges
- Create or update role mappings
- Create or update roles
- Create or update users
- Delete application privileges
- Delete role mappings
- Delete roles
- Delete users
- Disable users
- Enable users
- Get API key information
- Get application privileges
- Get builtin privileges
- Get role mappings
- Get roles
- Get token
- Get users
- Has privileges
- Invalidate API key
- Invalidate token
- OpenID Connect Prepare Authentication API
- OpenID Connect authenticate API
- OpenID Connect logout API
- SSL certificate
- Transform APIs
- Watcher APIs
- Definitions
- Release highlights
- Breaking changes
- Release notes
- Elasticsearch version 7.3.2
- Elasticsearch version 7.3.1
- Elasticsearch version 7.3.0
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
Get API
editGet API
editRetrieves the specified JSON document from an index.
GET twitter/_doc/0
Request
editGET <index>/_doc/<_id>
HEAD <index>/_doc/<_id>
GET <index>/_source/<_id>
HEAD <index>/_source/<_id>
Description
editYou use GET to retrieve a document and its source or stored fields from a
particular index. Use HEAD to verify that a document exists. You can
use the _source
resource retrieve just the document source or verify
that it exists.
Realtime
editBy default, the get API is realtime, and is not affected by the refresh
rate of the index (when data will become visible for search). If a document
has been updated but is not yet refreshed, the get API will issue a refresh
call in-place to make the document visible. This will also make other documents
changed since the last refresh visible. In order to disable realtime GET,
one can set the realtime
parameter to false
.
Source filtering
editBy default, the get operation returns the contents of the _source
field unless
you have used the stored_fields
parameter or if the _source
field is disabled.
You can turn off _source
retrieval by using the _source
parameter:
GET twitter/_doc/0?_source=false
If you only need one or two fields from the _source
, use the _source_includes
or _source_excludes
parameters to include or filter out particular fields.
This can be especially helpful with large documents where partial retrieval can
save on network overhead. Both parameters take a comma separated list
of fields or wildcard expressions. Example:
GET twitter/_doc/0?_source_includes=*.id&_source_excludes=entities
If you only want to specify includes, you can use a shorter notation:
GET twitter/_doc/0?_source=*.id,retweeted
Routing
editIf routing is used during indexing, the routing value also needs to be specified to retrieve a document. For example:
GET twitter/_doc/2?routing=user1
This request gets the tweet with id 2
, but it is routed based on the
user. The document is not fetched if the correct routing is not specified.
Preference
editControls a preference
of which shard replicas to execute the get
request on. By default, the operation is randomized between the shard
replicas.
The preference
can be set to:
-
_local
- The operation will prefer to be executed on a local allocated shard if possible.
- Custom (string) value
- A custom value will be used to guarantee that the same shards will be used for the same custom value. This can help with "jumping values" when hitting different shards in different refresh states. A sample value can be something like the web session id, or the user name.
Refresh
editThe refresh
parameter can be set to true
in order to refresh the
relevant shard before the get operation and make it searchable. Setting
it to true
should be done after careful thought and verification that
this does not cause a heavy load on the system (and slows down
indexing).
Distributed
editThe get operation gets hashed into a specific shard id. It then gets redirected to one of the replicas within that shard id and returns the result. The replicas are the primary shard and its replicas within that shard id group. This means that the more replicas we have, the better GET scaling we will have.
Versioning support
editYou can use the version
parameter to retrieve the document only if
its current version is equal to the specified one. This behavior is the same
for all version types with the exception of version type FORCE
which always
retrieves the document. Note that FORCE
version type is deprecated.
Internally, Elasticsearch has marked the old document as deleted and added an entirely new document. The old version of the document doesn’t disappear immediately, although you won’t be able to access it. Elasticsearch cleans up deleted documents in the background as you continue to index more data.
Path parameters
edit-
<index>
- (Required, string) Name of the index that contains the document.
-
<_id>
- (Required, string) Unique identifier of the document.
Query parameters
edit-
preference
- (Optional, string) Specifies the node or shard the operation should be performed on. Random by default.
-
realtime
-
(Optional, boolean) If
true
, the request is real-time as opposed to near-real-time. Defaults totrue
. See Realtime. -
refresh
-
(Optional, Boolean) If
true
, the request refreshes the relevant shard before retrieving the document. Defaults tofalse
. -
routing
- (Optional, string) Target the specified primary shard.
-
stored_fields
-
(Optional, boolean) If
true
, retrieves the document fields stored in the index rather than the document_source
. Defaults tofalse
. -
_source
-
(Optional, string) True or false to return the
_source
field or not, or a list of fields to return. -
_source_excludes
-
(Optional, string) A list of fields to exclude from the returned
_source
field. -
_source_includes
-
(Optional, string) A list of fields to extract and return from the
_source
field. -
version
- (Optional, integer) Explicit version number for concurrency control. The specified version must match the current version of the document for the request to succeed.
-
version_type
-
(Optional, enum) Specific version type:
internal
,external
,external_gte
,force
.
Response body
edit-
_index
- The name of the index the document belongs to.
-
_type
-
The document type. Elasticsearch indices now support a single document type,
_doc
. -
_id
- The unique identifier for the document.
-
_version
- The document version. Incremented each time the document is updated.
-
_seq_no
- The sequence number assigned to the document for the indexing operation. Sequence numbers are used to ensure an older version of a document doesn’t overwrite a newer version. See Optimistic concurrency control.
-
_primary_term
- The primary term assigned to the document for the indexing operation. See Optimistic concurrency control.
-
found
-
Indicates whether the document exists:
true
orfalse
. -
_routing
- The explicit routing, if set.
- _source
-
If
found
istrue
, contains the document data formatted in JSON. Excluded if the_source
parameter is set tofalse
or thestored_fields
paramter is set totrue
. - _fields
-
If the
stored_fields
parameter is set totrue
andfound
istrue
, contains the document fields stored in the index.
Examples
editRetrieve the JSON document with the _id
0 from the twitter
index:
GET twitter/_doc/0
The API returns the following result:
{ "_index" : "twitter", "_type" : "_doc", "_id" : "0", "_version" : 1, "_seq_no" : 10, "_primary_term" : 1, "found": true, "_source" : { "user" : "kimchy", "date" : "2009-11-15T14:12:12", "likes": 0, "message" : "trying out Elasticsearch" } }
Check to see if a document with the _id
0 exists:
HEAD twitter/_doc/0
Elasticsearch returns a status code of 200 - OK
if the document exists, or
404 - Not Found
if it doesn’t.
Get the source field only
editUse the <index>/_source/<id>
resource to get
just the _source
field of a document. For example:
GET twitter/_source/1
You can use the source filtering parameters to control which parts of the
_source
are returned:
GET twitter/_source/1/?_source_includes=*.id&_source_excludes=entities
You can use HEAD with the _source
endpoint to efficiently
test whether or not the document _source exists. A document’s source is not
available if it is disabled in the mapping.
HEAD twitter/_source/1
Get stored fields
editUse the stored_fields
parameter to specify the set of stored fields you want
to retrieve. Any requested fields that are not stored are ignored.
Consider for instance the following mapping:
PUT twitter { "mappings": { "properties": { "counter": { "type": "integer", "store": false }, "tags": { "type": "keyword", "store": true } } } }
Now we can add a document:
PUT twitter/_doc/1 { "counter" : 1, "tags" : ["red"] }
And then try to retrieve it:
GET twitter/_doc/1?stored_fields=tags,counter
The API returns the following result:
{ "_index": "twitter", "_type": "_doc", "_id": "1", "_version": 1, "_seq_no" : 22, "_primary_term" : 1, "found": true, "fields": { "tags": [ "red" ] } }
Field values fetched from the document itself are always returned as an array.
Since the counter
field is not stored, the get request ignores it.
You can also retrieve metadata fields like the _routing
field:
PUT twitter/_doc/2?routing=user1 { "counter" : 1, "tags" : ["white"] }
GET twitter/_doc/2?routing=user1&stored_fields=tags,counter
The API returns the following result:
{ "_index": "twitter", "_type": "_doc", "_id": "2", "_version": 1, "_seq_no" : 13, "_primary_term" : 1, "_routing": "user1", "found": true, "fields": { "tags": [ "white" ] } }
Only leaf fields can be retrieved with the stored_field
option. Object fields
can’t be returned—if specified, the request fails.
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