- Elasticsearch Guide: other versions:
- Elasticsearch basics
- Quick starts
- Set up Elasticsearch
- Run Elasticsearch locally
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Secure settings
- Auditing settings
- Circuit breaker settings
- Cluster-level shard allocation and routing settings
- Miscellaneous cluster settings
- Cross-cluster replication settings
- Discovery and cluster formation settings
- Field data cache settings
- Health Diagnostic settings
- Index lifecycle management settings
- Data stream lifecycle settings
- Index management settings
- Index recovery settings
- Indexing buffer settings
- License settings
- Local gateway settings
- Logging
- Machine learning settings
- Inference settings
- Monitoring settings
- Nodes
- Networking
- Node query cache settings
- Search settings
- Security settings
- Shard allocation, relocation, and recovery
- Shard request cache settings
- Snapshot and restore settings
- Transforms settings
- Thread pools
- Watcher settings
- Advanced 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
- All permission check
- Discovery configuration check
- Bootstrap Checks for X-Pack
- Starting Elasticsearch
- Stopping Elasticsearch
- Discovery and cluster formation
- Add and remove nodes in your cluster
- Full-cluster restart and rolling restart
- Remote clusters
- Plugins
- Search your data
- Re-ranking
- Index modules
- Index templates
- Aliases
- Mapping
- Dynamic mapping
- Explicit mapping
- Runtime fields
- Field data types
- Aggregate metric
- Alias
- Arrays
- Binary
- Boolean
- Completion
- Date
- Date nanoseconds
- Dense vector
- Flattened
- Geopoint
- Geoshape
- Histogram
- IP
- Join
- Keyword
- Nested
- Numeric
- Object
- Pass-through object
- Percolator
- Point
- Range
- Rank feature
- Rank features
- Search-as-you-type
- Semantic text
- Shape
- Sparse vector
- Text
- Token count
- Unsigned long
- Version
- Metadata fields
- Mapping parameters
analyzer
coerce
copy_to
doc_values
dynamic
eager_global_ordinals
enabled
format
ignore_above
index.mapping.ignore_above
ignore_malformed
index
index_options
index_phrases
index_prefixes
meta
fields
normalizer
norms
null_value
position_increment_gap
properties
search_analyzer
similarity
store
subobjects
term_vector
- Mapping limit settings
- Removal of mapping types
- Text analysis
- Overview
- Concepts
- Configure text analysis
- Built-in analyzer reference
- Tokenizer reference
- Token filter reference
- Apostrophe
- ASCII folding
- CJK bigram
- CJK width
- Classic
- Common grams
- Conditional
- Decimal digit
- Delimited payload
- Dictionary decompounder
- Edge n-gram
- Elision
- Fingerprint
- Flatten graph
- Hunspell
- Hyphenation decompounder
- Keep types
- Keep words
- Keyword marker
- Keyword repeat
- KStem
- Length
- Limit token count
- Lowercase
- MinHash
- Multiplexer
- N-gram
- Normalization
- Pattern capture
- Pattern replace
- Phonetic
- Porter stem
- Predicate script
- Remove duplicates
- Reverse
- Shingle
- Snowball
- Stemmer
- Stemmer override
- Stop
- Synonym
- Synonym graph
- Trim
- Truncate
- Unique
- Uppercase
- Word delimiter
- Word delimiter graph
- Character filters reference
- Normalizers
- Ingest pipelines
- Example: Parse logs
- Enrich your data
- Processor reference
- Append
- Attachment
- Bytes
- Circle
- Community ID
- Convert
- CSV
- Date
- Date index name
- Dissect
- Dot expander
- Drop
- Enrich
- Fail
- Fingerprint
- Foreach
- Geo-grid
- GeoIP
- Grok
- Gsub
- HTML strip
- Inference
- IP Location
- Join
- JSON
- KV
- Lowercase
- Network direction
- Pipeline
- Redact
- Registered domain
- Remove
- Rename
- Reroute
- Script
- Set
- Set security user
- Sort
- Split
- Terminate
- Trim
- Uppercase
- URL decode
- URI parts
- User agent
- Ingest pipelines in Search
- Connectors
- Data streams
- Data management
- ILM: Manage the index lifecycle
- Tutorial: Customize built-in policies
- Tutorial: Automate rollover
- Index management in Kibana
- Overview
- Concepts
- Index lifecycle actions
- Configure a lifecycle policy
- Migrate index allocation filters to node roles
- Troubleshooting index lifecycle management errors
- Start and stop index lifecycle management
- Manage existing indices
- Skip rollover
- Restore a managed data stream or index
- Data tiers
- Roll up or transform your data
- Query DSL
- EQL
- ES|QL
- SQL
- 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
- Scripting
- Aggregations
- Bucket aggregations
- Adjacency matrix
- Auto-interval date histogram
- Categorize text
- Children
- Composite
- Date histogram
- Date range
- Diversified sampler
- Filter
- Filters
- Frequent item sets
- Geo-distance
- Geohash grid
- Geohex grid
- Geotile grid
- Global
- Histogram
- IP prefix
- IP range
- Missing
- Multi Terms
- Nested
- Parent
- Random sampler
- Range
- Rare terms
- Reverse nested
- Sampler
- Significant terms
- Significant text
- Terms
- Time series
- Variable width histogram
- Subtleties of bucketing range fields
- Metrics aggregations
- Pipeline aggregations
- Average bucket
- Bucket script
- Bucket count K-S test
- Bucket correlation
- Bucket selector
- Bucket sort
- Change point
- Cumulative cardinality
- Cumulative sum
- Derivative
- Extended stats bucket
- Inference bucket
- Max bucket
- Min bucket
- Moving function
- Moving percentiles
- Normalize
- Percentiles bucket
- Serial differencing
- Stats bucket
- Sum bucket
- Bucket aggregations
- Geospatial analysis
- Watcher
- Monitor a cluster
- Secure the Elastic Stack
- Elasticsearch security principles
- Start the Elastic Stack with security enabled automatically
- Manually configure security
- Updating node security certificates
- User authentication
- Built-in users
- Service accounts
- Internal users
- Token-based authentication services
- User profiles
- Realms
- Realm chains
- Security domains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- OpenID Connect authentication
- PKI user authentication
- SAML authentication
- Kerberos authentication
- JWT authentication
- Integrating with other authentication systems
- Enabling anonymous access
- Looking up users without authentication
- 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
- Built-in roles
- Defining roles
- Role restriction
- Security privileges
- Document level security
- Field level security
- Granting privileges for data streams and aliases
- Mapping users and groups to roles
- Setting up field and document level security
- Submitting requests on behalf of other users
- Configuring authorization delegation
- Customizing roles and authorization
- Enable audit logging
- Restricting connections with IP filtering
- Securing clients and integrations
- Operator privileges
- 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
- Set up a cluster for high availability
- Optimizations
- Autoscaling
- Snapshot and restore
- REST APIs
- API conventions
- Common options
- REST API compatibility
- Autoscaling APIs
- Behavioral Analytics APIs
- Compact and aligned text (CAT) APIs
- cat aliases
- cat allocation
- cat anomaly detectors
- cat component templates
- cat count
- cat data frame analytics
- cat datafeeds
- cat fielddata
- cat health
- cat indices
- cat master
- cat nodeattrs
- cat nodes
- cat pending tasks
- cat plugins
- cat recovery
- cat repositories
- cat segments
- cat shards
- cat snapshots
- cat task management
- cat templates
- cat thread pool
- cat trained model
- cat transforms
- Cluster APIs
- Cluster allocation explain
- Cluster get settings
- Cluster health
- Health
- Cluster reroute
- Cluster state
- Cluster stats
- Cluster update settings
- Nodes feature usage
- Nodes hot threads
- Nodes info
- Prevalidate node removal
- Nodes reload secure settings
- Nodes stats
- Cluster Info
- Pending cluster tasks
- Remote cluster info
- Task management
- Voting configuration exclusions
- Create or update desired nodes
- Get desired nodes
- Delete desired nodes
- Get desired balance
- Reset desired balance
- Cross-cluster replication APIs
- Connector APIs
- Create connector
- Delete connector
- Get connector
- List connectors
- Update connector API key id
- Update connector configuration
- Update connector index name
- Update connector features
- Update connector filtering
- Update connector name and description
- Update connector pipeline
- Update connector scheduling
- Update connector service type
- Create connector sync job
- Cancel connector sync job
- Delete connector sync job
- Get connector sync job
- List connector sync jobs
- Check in a connector
- Update connector error
- Update connector last sync stats
- Update connector status
- Check in connector sync job
- Claim connector sync job
- Set connector sync job error
- Set connector sync job stats
- Data stream APIs
- Document APIs
- Enrich APIs
- EQL APIs
- ES|QL APIs
- Features APIs
- Fleet APIs
- Graph explore API
- Index APIs
- Alias exists
- Aliases
- Analyze
- Analyze index disk usage
- Clear cache
- Clone index
- Close index
- Create index
- Create or update alias
- Create or update component template
- Create or update index template
- Create or update index template (legacy)
- Delete component template
- Delete dangling index
- Delete alias
- Delete index
- Delete index template
- Delete index template (legacy)
- Exists
- Field usage stats
- Flush
- Force merge
- Get alias
- Get component template
- Get field mapping
- Get index
- Get index settings
- Get index template
- Get index template (legacy)
- Get mapping
- Import dangling index
- Index recovery
- Index segments
- Index shard stores
- Index stats
- Index template exists (legacy)
- List dangling indices
- Open index
- Refresh
- Resolve index
- Resolve cluster
- Rollover
- Shrink index
- Simulate index
- Simulate template
- Split index
- Unfreeze index
- Update index settings
- Update mapping
- Index lifecycle management APIs
- Create or update lifecycle policy
- Get policy
- Delete policy
- Move to step
- Remove policy
- Retry policy
- Get index lifecycle management status
- Explain lifecycle
- Start index lifecycle management
- Stop index lifecycle management
- Migrate indices, ILM policies, and legacy, composable and component templates to data tiers routing
- Inference APIs
- Delete inference API
- Get inference API
- Perform inference API
- Create inference API
- Stream inference API
- Update inference API
- AlibabaCloud AI Search inference integration
- Amazon Bedrock inference integration
- Anthropic inference integration
- Azure AI studio inference integration
- Azure OpenAI inference integration
- Cohere inference integration
- Elasticsearch inference integration
- ELSER inference integration
- Google AI Studio inference integration
- Google Vertex AI inference integration
- HuggingFace inference integration
- Mistral inference integration
- OpenAI inference integration
- Watsonx inference integration
- Info API
- Ingest APIs
- Licensing APIs
- Logstash APIs
- Machine learning APIs
- Machine learning anomaly detection APIs
- Add events to calendar
- Add jobs to calendar
- Close jobs
- Create jobs
- Create calendars
- Create datafeeds
- Create filters
- Delete calendars
- Delete datafeeds
- Delete events from calendar
- Delete filters
- Delete forecasts
- Delete jobs
- Delete jobs from calendar
- Delete model snapshots
- Delete expired data
- Estimate model memory
- Flush jobs
- Forecast jobs
- Get buckets
- Get calendars
- Get categories
- Get datafeeds
- Get datafeed statistics
- Get influencers
- Get jobs
- Get job statistics
- Get model snapshots
- Get model snapshot upgrade statistics
- Get overall buckets
- Get scheduled events
- Get filters
- Get records
- Open jobs
- Post data to jobs
- Preview datafeeds
- Reset jobs
- Revert model snapshots
- Start datafeeds
- Stop datafeeds
- Update datafeeds
- Update filters
- Update jobs
- Update model snapshots
- Upgrade model snapshots
- Machine learning data frame analytics APIs
- Create data frame analytics jobs
- Delete data frame analytics jobs
- Evaluate data frame analytics
- Explain data frame analytics
- Get data frame analytics jobs
- Get data frame analytics jobs stats
- Preview data frame analytics
- Start data frame analytics jobs
- Stop data frame analytics jobs
- Update data frame analytics jobs
- Machine learning trained model APIs
- Clear trained model deployment cache
- Create or update trained model aliases
- Create part of a trained model
- Create trained models
- Create trained model vocabulary
- Delete trained model aliases
- Delete trained models
- Get trained models
- Get trained models stats
- Infer trained model
- Start trained model deployment
- Stop trained model deployment
- Update trained model deployment
- Migration APIs
- Node lifecycle APIs
- Query rules APIs
- Reload search analyzers API
- Repositories metering APIs
- Rollup APIs
- Root API
- Script APIs
- Search APIs
- Search Application APIs
- Searchable snapshots APIs
- Security APIs
- Authenticate
- Change passwords
- Clear cache
- Clear roles cache
- Clear privileges cache
- Clear API key cache
- Clear service account token caches
- Create API keys
- Create or update application privileges
- Create or update role mappings
- Create or update roles
- Bulk create or update roles API
- Bulk delete roles API
- Create or update users
- Create service account tokens
- Delegate PKI authentication
- Delete application privileges
- Delete role mappings
- Delete roles
- Delete service account token
- Delete users
- Disable users
- Enable users
- Enroll Kibana
- Enroll node
- Get API key information
- Get application privileges
- Get builtin privileges
- Get role mappings
- Get roles
- Query Role
- Get service accounts
- Get service account credentials
- Get Security settings
- Get token
- Get user privileges
- Get users
- Grant API keys
- Has privileges
- Invalidate API key
- Invalidate token
- OpenID Connect prepare authentication
- OpenID Connect authenticate
- OpenID Connect logout
- Query API key information
- Query User
- Update API key
- Update Security settings
- Bulk update API keys
- SAML prepare authentication
- SAML authenticate
- SAML logout
- SAML invalidate
- SAML complete logout
- SAML service provider metadata
- SSL certificate
- Activate user profile
- Disable user profile
- Enable user profile
- Get user profiles
- Suggest user profile
- Update user profile data
- Has privileges user profile
- Create Cross-Cluster API key
- Update Cross-Cluster API key
- Snapshot and restore APIs
- Snapshot lifecycle management APIs
- SQL APIs
- Synonyms APIs
- Text structure APIs
- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- Command line tools
- elasticsearch-certgen
- elasticsearch-certutil
- elasticsearch-create-enrollment-token
- elasticsearch-croneval
- elasticsearch-keystore
- elasticsearch-node
- elasticsearch-reconfigure-node
- elasticsearch-reset-password
- elasticsearch-saml-metadata
- elasticsearch-service-tokens
- elasticsearch-setup-passwords
- elasticsearch-shard
- elasticsearch-syskeygen
- elasticsearch-users
- Troubleshooting
- Fix common cluster issues
- Diagnose unassigned shards
- Add a missing tier to the system
- Allow Elasticsearch to allocate the data in the system
- Allow Elasticsearch to allocate the index
- Indices mix index allocation filters with data tiers node roles to move through data tiers
- Not enough nodes to allocate all shard replicas
- Total number of shards for an index on a single node exceeded
- Total number of shards per node has been reached
- Troubleshooting corruption
- Fix data nodes out of disk
- Fix master nodes out of disk
- Fix other role nodes out of disk
- Start index lifecycle management
- Start Snapshot Lifecycle Management
- Restore from snapshot
- Troubleshooting broken repositories
- Addressing repeated snapshot policy failures
- Troubleshooting an unstable cluster
- Troubleshooting discovery
- Troubleshooting monitoring
- Troubleshooting transforms
- Troubleshooting Watcher
- Troubleshooting searches
- Troubleshooting shards capacity health issues
- Troubleshooting an unbalanced cluster
- Capture diagnostics
- Upgrade Elasticsearch
- Migration guide
- What’s new in 8.16
- Release notes
- Elasticsearch version 8.16.5
- Elasticsearch version 8.16.4
- Elasticsearch version 8.16.3
- Elasticsearch version 8.16.2
- Elasticsearch version 8.16.1
- Elasticsearch version 8.16.0
- Elasticsearch version 8.15.5
- Elasticsearch version 8.15.4
- Elasticsearch version 8.15.3
- Elasticsearch version 8.15.2
- Elasticsearch version 8.15.1
- Elasticsearch version 8.15.0
- Elasticsearch version 8.14.3
- Elasticsearch version 8.14.2
- Elasticsearch version 8.14.1
- Elasticsearch version 8.14.0
- Elasticsearch version 8.13.4
- Elasticsearch version 8.13.3
- Elasticsearch version 8.13.2
- Elasticsearch version 8.13.1
- Elasticsearch version 8.13.0
- Elasticsearch version 8.12.2
- Elasticsearch version 8.12.1
- Elasticsearch version 8.12.0
- Elasticsearch version 8.11.4
- Elasticsearch version 8.11.3
- Elasticsearch version 8.11.2
- Elasticsearch version 8.11.1
- Elasticsearch version 8.11.0
- Elasticsearch version 8.10.4
- Elasticsearch version 8.10.3
- Elasticsearch version 8.10.2
- Elasticsearch version 8.10.1
- Elasticsearch version 8.10.0
- Elasticsearch version 8.9.2
- Elasticsearch version 8.9.1
- Elasticsearch version 8.9.0
- Elasticsearch version 8.8.2
- Elasticsearch version 8.8.1
- Elasticsearch version 8.8.0
- Elasticsearch version 8.7.1
- Elasticsearch version 8.7.0
- Elasticsearch version 8.6.2
- Elasticsearch version 8.6.1
- Elasticsearch version 8.6.0
- Elasticsearch version 8.5.3
- Elasticsearch version 8.5.2
- Elasticsearch version 8.5.1
- Elasticsearch version 8.5.0
- Elasticsearch version 8.4.3
- Elasticsearch version 8.4.2
- Elasticsearch version 8.4.1
- Elasticsearch version 8.4.0
- Elasticsearch version 8.3.3
- Elasticsearch version 8.3.2
- Elasticsearch version 8.3.1
- Elasticsearch version 8.3.0
- Elasticsearch version 8.2.3
- Elasticsearch version 8.2.2
- Elasticsearch version 8.2.1
- Elasticsearch version 8.2.0
- Elasticsearch version 8.1.3
- Elasticsearch version 8.1.2
- Elasticsearch version 8.1.1
- Elasticsearch version 8.1.0
- Elasticsearch version 8.0.1
- Elasticsearch version 8.0.0
- Elasticsearch version 8.0.0-rc2
- Elasticsearch version 8.0.0-rc1
- Elasticsearch version 8.0.0-beta1
- Elasticsearch version 8.0.0-alpha2
- Elasticsearch version 8.0.0-alpha1
- Dependencies and versions
Simulate ingest API
editSimulate ingest API
editExecutes ingest pipelines against a set of provided documents, optionally with substitute pipeline definitions. This API is meant to be used for troubleshooting or pipeline development, as it does not actually index any data into Elasticsearch.
POST /_ingest/_simulate { "docs": [ { "_index": "my-index", "_id": "id", "_source": { "foo": "bar" } }, { "_index": "my-index", "_id": "id", "_source": { "foo": "rab" } } ], "pipeline_substitutions": { "my-pipeline": { "processors": [ { "set": { "field": "field3", "value": "value3" } } ] } }, "component_template_substitutions": { "my-component-template": { "template": { "mappings": { "dynamic": "true", "properties": { "field3": { "type": "keyword" } } }, "settings": { "index": { "default_pipeline": "my-pipeline" } } } } }, "index_template_substitutions": { "my-index-template": { "index_patterns": ["my-index-*"], "composed_of": ["component_template_1", "component_template_2"] } } }
This replaces the existing |
|
This replaces the existing |
|
This replaces the existing |
Request
editPOST /_ingest/_simulate
GET /_ingest/_simulate
POST /_ingest/<target>/_simulate
GET /_ingest/<target>/_simulate
Prerequisites
edit-
If the Elasticsearch security features are enabled, you must have the
index
orcreate
index privileges to use this API.
Description
editThe simulate ingest API simulates ingesting data into an index. It executes the default and final pipeline for that index against a set of documents provided in the body of the request. If a pipeline contains a reroute processor, it follows that reroute processor to the new index, executing that index’s pipelines as well the same way that a non-simulated ingest would. No data is indexed into Elasticsearch. Instead, the transformed document is returned, along with the list of pipelines that have been executed and the name of the index where the document would have been indexed if this were not a simulation. The transformed document is validated against the mappings that would apply to this index, and any validation error is reported in the result.
This API differs from the simulate pipeline API in that you specify a single pipeline for that API, and it only runs that one pipeline. The simulate pipeline API is more useful for developing a single pipeline, while the simulate ingest API is more useful for troubleshooting the interaction of the various pipelines that get applied when ingesting into an index.
By default, the pipeline definitions that are currently in the system are used. However, you can supply substitute pipeline definitions in the body of the request. These will be used in place of the pipeline definitions that are already in the system. This can be used to replace existing pipeline definitions or to create new ones. The pipeline substitutions are only used within this request.
Path parameters
edit-
<target>
- (Optional, string) The index to simulate ingesting into. This can be overridden by specifying an index on each document. If you provide a <target> in the request path, it is used for any documents that don’t explicitly specify an index argument.
Query parameters
edit-
pipeline
- (Optional, string) Pipeline to use as the default pipeline. This can be used to override the default pipeline of the index being ingested into.
Request body
edit-
docs
-
(Required, array of objects) Sample documents to test in the pipeline.
Properties of
docs
objects-
_id
- (Optional, string) Unique identifier for the document.
-
_index
- (Optional, string) Name of the index that the document will be ingested into.
-
_source
- (Required, object) JSON body for the document.
-
-
pipeline_substitutions
-
(Optional, map of strings to objects) Map of pipeline IDs to substitute pipeline definition objects.
Properties of pipeline definition objects
-
description
- (Optional, string) Description of the ingest pipeline.
-
on_failure
-
(Optional, array of processor objects) Processors to run immediately after a processor failure.
Each processor supports a processor-level
on_failure
value. If a processor without anon_failure
value fails, Elasticsearch uses this pipeline-level parameter as a fallback. The processors in this parameter run sequentially in the order specified. Elasticsearch will not attempt to run the pipeline’s remaining processors. -
processors
- (Required, array of processor objects) Processors used to perform transformations on documents before indexing. Processors run sequentially in the order specified.
-
version
-
(Optional, integer) Version number used by external systems to track ingest pipelines.
See the
if_version
parameter above for how the version attribute is used. -
_meta
- (Optional, object) Optional metadata about the ingest pipeline. May have any contents. This map is not automatically generated by Elasticsearch.
-
deprecated
- (Optional, boolean) Marks this ingest pipeline as deprecated. When a deprecated ingest pipeline is referenced as the default or final pipeline when creating or updating a non-deprecated index template, Elasticsearch will emit a deprecation warning.
-
-
component_template_substitutions
-
(Optional, map of strings to objects) Map of component template names to substitute component template definition objects.
Properties of component template definition objects
-
template
-
(Required, object) This is the template to be applied, may optionally include a
mappings
,settings
, oraliases
configuration.Properties of
template
-
aliases
-
(Optional, object of objects) Aliases to add.
If the index template includes a
data_stream
object, these are data stream aliases. Otherwise, these are index aliases. Data stream aliases ignore theindex_routing
,routing
, andsearch_routing
options.Properties of
aliases
objects-
<alias>
-
(Required, object) The key is the alias name. Index alias names support date math.
The object body contains options for the alias. Supports an empty object.
Properties of
<alias>
-
filter
- (Optional, Query DSL object) Query used to limit documents the alias can access.
-
index_routing
-
(Optional, string) Value used to route indexing operations to a specific shard.
If specified, this overwrites the
routing
value for indexing operations. -
is_hidden
-
(Optional, Boolean) If
true
, the alias is hidden. Defaults tofalse
. All indices for the alias must have the sameis_hidden
value. -
is_write_index
-
(Optional, Boolean) If
true
, the index is the write index for the alias. Defaults tofalse
. -
routing
- (Optional, string) Value used to route indexing and search operations to a specific shard.
-
search_routing
-
(Optional, string) Value used to route search operations to a specific shard. If
specified, this overwrites the
routing
value for search operations.
-
-
-
mappings
-
(Optional, mapping object) Mapping for fields in the index. If specified, this mapping can include:
- Field names
- Field data types
- Mapping parameters
See Mapping.
-
settings
- (Optional, index setting object) Configuration options for the index. See Index settings.
-
-
version
- (Optional, integer) Version number used to manage component templates externally. This number is not automatically generated or incremented by Elasticsearch.
-
allow_auto_create
-
(Optional, Boolean)
This setting overrides the value of the
action.auto_create_index
cluster setting. If set totrue
in a template, then indices can be automatically created using that template even if auto-creation of indices is disabled viaactions.auto_create_index
. If set tofalse
, then indices or data streams matching the template must always be explicitly created, and may never be automatically created. -
_meta
- (Optional, object) Optional user metadata about the component template. May have any contents. This map is not automatically generated by Elasticsearch.
-
deprecated
- (Optional, boolean) Marks this component template as deprecated. When a deprecated component template is referenced when creating or updating a non-deprecated index template, Elasticsearch will emit a deprecation warning.
-
-
index_template_substitutions
-
(Optional, map of strings to objects) Map of index template names to substitute index template definition objects.
Properties of index template definition objects
-
composed_of
- (Optional, array of strings) An ordered list of component template names. Component templates are merged in the order specified, meaning that the last component template specified has the highest precedence. See Composing multiple component templates for an example.
-
data_stream
-
(Optional, object) If this object is included, the template is used to create data streams and their backing indices. Supports an empty object.
Data streams require a matching index template with a
data_stream
object. See create an index template.Properties of
data_stream
-
allow_custom_routing
-
(Optional, Boolean) If
true
, the data stream supports custom routing. Defaults tofalse
. -
hidden
-
(Optional, Boolean) If
true
, the data stream is hidden. Defaults tofalse
. -
index_mode
-
(Optional, string) Type of data stream to create. Valid values are
null
(regular data stream) andtime_series
(time series data stream).If
time_series
, each backing index has anindex.mode
index setting oftime_series
.
-
-
index_patterns
-
(Required, array of strings) Array of wildcard (
*
) expressions used to match the names of data streams and indices during creation.Elasticsearch includes several built-in index templates. To avoid naming collisions with these templates, see Avoid index pattern collisions.
-
_meta
- (Optional, object) Optional user metadata about the index template. May have any contents. This map is not automatically generated by Elasticsearch.
-
priority
- (Optional, integer) Priority to determine index template precedence when a new data stream or index is created. The index template with the highest priority is chosen. If no priority is specified the template is treated as though it is of priority 0 (lowest priority). This number is not automatically generated by Elasticsearch.
-
template
-
(Optional, object) Template to be applied. It may optionally include an
aliases
,mappings
, orsettings
configuration.Properties of
template
-
aliases
-
(Optional, object of objects) Aliases to add.
If the index template includes a
data_stream
object, these are data stream aliases. Otherwise, these are index aliases. Data stream aliases ignore theindex_routing
,routing
, andsearch_routing
options.Properties of
aliases
objects-
<alias>
-
(Required, object) The key is the alias name. Index alias names support date math.
The object body contains options for the alias. Supports an empty object.
Properties of
<alias>
-
filter
- (Optional, Query DSL object) Query used to limit documents the alias can access.
-
index_routing
-
(Optional, string) Value used to route indexing operations to a specific shard.
If specified, this overwrites the
routing
value for indexing operations. -
is_hidden
-
(Optional, Boolean) If
true
, the alias is hidden. Defaults tofalse
. All indices for the alias must have the sameis_hidden
value. -
is_write_index
-
(Optional, Boolean) If
true
, the index is the write index for the alias. Defaults tofalse
. -
routing
- (Optional, string) Value used to route indexing and search operations to a specific shard.
-
search_routing
-
(Optional, string) Value used to route search operations to a specific shard. If
specified, this overwrites the
routing
value for search operations.
-
-
-
mappings
-
(Optional, mapping object) Mapping for fields in the index. If specified, this mapping can include:
- Field names
- Field data types
- Mapping parameters
See Mapping.
-
settings
- (Optional, index setting object) Configuration options for the index. See Index settings.
-
-
version
- (Optional, integer) Version number used to manage index templates externally. This number is not automatically generated by Elasticsearch.
-
deprecated
- (Optional, boolean) Marks this index template as deprecated. When creating or updating a non-deprecated index template that uses deprecated components, Elasticsearch will emit a deprecation warning.
-
Examples
editUse pre-existing pipeline definitions
editIn this example the index index
has a default pipeline called my-pipeline
and a final
pipeline called my-final-pipeline
. Since both documents are being ingested into index
,
both pipelines are executed using the pipeline definitions that are already in the system.
resp = client.simulate.ingest( body={ "docs": [ { "_index": "my-index", "_id": "123", "_source": { "foo": "bar" } }, { "_index": "my-index", "_id": "456", "_source": { "foo": "rab" } } ] }, ) print(resp)
response = client.simulate.ingest( body: { docs: [ { _index: 'my-index', _id: '123', _source: { foo: 'bar' } }, { _index: 'my-index', _id: '456', _source: { foo: 'rab' } } ] } ) puts response
const response = await client.simulate.ingest({ docs: [ { _index: "my-index", _id: "123", _source: { foo: "bar", }, }, { _index: "my-index", _id: "456", _source: { foo: "rab", }, }, ], }); console.log(response);
POST /_ingest/_simulate { "docs": [ { "_index": "my-index", "_id": "123", "_source": { "foo": "bar" } }, { "_index": "my-index", "_id": "456", "_source": { "foo": "rab" } } ] }
The API returns the following response:
{ "docs": [ { "doc": { "_id": "123", "_index": "my-index", "_version": -3, "_source": { "field1": "value1", "field2": "value2", "foo": "bar" }, "executed_pipelines": [ "my-pipeline", "my-final-pipeline" ] } }, { "doc": { "_id": "456", "_index": "my-index", "_version": -3, "_source": { "field1": "value1", "field2": "value2", "foo": "rab" }, "executed_pipelines": [ "my-pipeline", "my-final-pipeline" ] } } ] }
Specify a pipeline substitution in the request body
editIn this example the index my-index
has a default pipeline called my-pipeline
and a final
pipeline called my-final-pipeline
. But a substitute definition of my-pipeline
is
provided in pipeline_substitutions
. The substitute my-pipeline
will be used in place of
the my-pipeline
that is in the system, and then the my-final-pipeline
that is already
defined in the system will be executed.
resp = client.simulate.ingest( body={ "docs": [ { "_index": "my-index", "_id": "123", "_source": { "foo": "bar" } }, { "_index": "my-index", "_id": "456", "_source": { "foo": "rab" } } ], "pipeline_substitutions": { "my-pipeline": { "processors": [ { "uppercase": { "field": "foo" } } ] } } }, ) print(resp)
response = client.simulate.ingest( body: { docs: [ { _index: 'my-index', _id: '123', _source: { foo: 'bar' } }, { _index: 'my-index', _id: '456', _source: { foo: 'rab' } } ], pipeline_substitutions: { "my-pipeline": { processors: [ { uppercase: { field: 'foo' } } ] } } } ) puts response
const response = await client.simulate.ingest({ docs: [ { _index: "my-index", _id: "123", _source: { foo: "bar", }, }, { _index: "my-index", _id: "456", _source: { foo: "rab", }, }, ], pipeline_substitutions: { "my-pipeline": { processors: [ { uppercase: { field: "foo", }, }, ], }, }, }); console.log(response);
POST /_ingest/_simulate { "docs": [ { "_index": "my-index", "_id": "123", "_source": { "foo": "bar" } }, { "_index": "my-index", "_id": "456", "_source": { "foo": "rab" } } ], "pipeline_substitutions": { "my-pipeline": { "processors": [ { "uppercase": { "field": "foo" } } ] } } }
The API returns the following response:
{ "docs": [ { "doc": { "_id": "123", "_index": "my-index", "_version": -3, "_source": { "field2": "value2", "foo": "BAR" }, "executed_pipelines": [ "my-pipeline", "my-final-pipeline" ] } }, { "doc": { "_id": "456", "_index": "my-index", "_version": -3, "_source": { "field2": "value2", "foo": "RAB" }, "executed_pipelines": [ "my-pipeline", "my-final-pipeline" ] } } ] }
Specify a component template substitution in the request body
editIn this example, imagine that the index my-index
has a strict mapping with only the foo
keyword field defined. Say that field mapping came from a component template named
my-mappings-template
. We want to test adding a new field, bar
. So a substitute definition of
my-mappings-template
is provided in component_template_substitutions
. The substitute
my-mappings-template
will be used in place of the existing mapping for my-index
and in place
of the my-mappings-template
that is in the system.
resp = client.simulate.ingest( body={ "docs": [ { "_index": "my-index", "_id": "123", "_source": { "foo": "foo" } }, { "_index": "my-index", "_id": "456", "_source": { "bar": "rab" } } ], "component_template_substitutions": { "my-mappings_template": { "template": { "mappings": { "dynamic": "strict", "properties": { "foo": { "type": "keyword" }, "bar": { "type": "keyword" } } } } } } }, ) print(resp)
const response = await client.simulate.ingest({ docs: [ { _index: "my-index", _id: "123", _source: { foo: "foo", }, }, { _index: "my-index", _id: "456", _source: { bar: "rab", }, }, ], component_template_substitutions: { "my-mappings_template": { template: { mappings: { dynamic: "strict", properties: { foo: { type: "keyword", }, bar: { type: "keyword", }, }, }, }, }, }, }); console.log(response);
POST /_ingest/_simulate { "docs": [ { "_index": "my-index", "_id": "123", "_source": { "foo": "foo" } }, { "_index": "my-index", "_id": "456", "_source": { "bar": "rab" } } ], "component_template_substitutions": { "my-mappings_template": { "template": { "mappings": { "dynamic": "strict", "properties": { "foo": { "type": "keyword" }, "bar": { "type": "keyword" } } } } } } }
The API returns the following response:
{ "docs": [ { "doc": { "_id": "123", "_index": "my-index", "_version": -3, "_source": { "foo": "foo" }, "executed_pipelines": [] } }, { "doc": { "_id": "456", "_index": "my-index", "_version": -3, "_source": { "bar": "rab" }, "executed_pipelines": [] } } ] }
On this page