- 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
- Full-cluster restart and rolling restart
- 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
- Subtleties of bucketing range fields
- 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
- Cumulative Cardinality 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
- Char Group Tokenizer
- Classic Tokenizer
- Edge n-gram tokenizer
- Keyword Tokenizer
- Letter Tokenizer
- Lowercase Tokenizer
- N-gram tokenizer
- Path Hierarchy Tokenizer
- Path Hierarchy Tokenizer Examples
- Pattern Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Standard Tokenizer
- Thai Tokenizer
- UAX URL Email Tokenizer
- Whitespace Tokenizer
- Token Filters
- Apostrophe
- ASCII folding
- CJK bigram
- CJK width
- Classic
- Common grams
- Conditional
- Decimal digit
- Delimited payload
- Dictionary decompounder
- Edge n-gram
- Elision
- Fingerprint
- Flatten Graph Token Filter
- Hunspell Token Filter
- Hyphenation decompounder
- Keep types
- Keep words
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Length Token Filter
- Limit Token Count Token Filter
- Lowercase Token Filter
- MinHash Token Filter
- Multiplexer Token Filter
- N-gram
- Normalization Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Phonetic Token Filter
- Porter Stem Token Filter
- Predicate Token Filter Script
- Remove Duplicates Token Filter
- Reverse Token Filter
- Shingle Token Filter
- Snowball Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Stop Token Filter
- Synonym Token Filter
- Synonym Graph Token Filter
- Trim Token Filter
- Truncate Token Filter
- Unique Token Filter
- Uppercase Token Filter
- Word Delimiter Token Filter
- Word Delimiter Graph 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
- Circle 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
- Getting started with snapshot lifecycle management
- 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
- 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
- Built-in roles
- Defining roles
- Security privileges
- Document level security
- Field level security
- Granting privileges for indices 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
- Enabling audit logging
- 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
- Clone index
- 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
- Delegate PKI authentication
- 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
- Snapshot lifecycle management API
- Transform APIs
- Watcher APIs
- Definitions
- Release highlights
- Breaking changes
- Release notes
- Elasticsearch version 7.4.2
- Elasticsearch version 7.4.1
- Elasticsearch version 7.4.0
- 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
Search Template
editSearch Template
editAllows you to use the mustache language to pre render search requests.
GET _search/template { "source" : { "query": { "match" : { "{{my_field}}" : "{{my_value}}" } }, "size" : "{{my_size}}" }, "params" : { "my_field" : "message", "my_value" : "some message", "my_size" : 5 } }
Request
editGET _search/template
Description
editThe /_search/template
endpoint allows you to use the mustache language to pre-
render search requests, before they are executed and fill existing templates
with template parameters.
For more information on how Mustache templating and what kind of templating you can do with it check out the online documentation of the mustache project.
The mustache language is implemented in Elasticsearch as a sandboxed scripting language, hence it obeys settings that may be used to enable or disable scripts per type and context as described in the scripting docs.
Path parameters
edit-
<index>
- (Optional, string) Comma-separated list or wildcard expression of index names used to limit the request.
Query parameters
edit-
allow_no_indices
-
(Optional, boolean) If
true
, the request does not return an error if a wildcard expression or_all
value retrieves only missing or closed indices.This parameter also applies to index aliases that point to a missing or closed index.
-
ccs_minimize_roundtrips
-
(Optional, boolean) If
true
, network round-trips are minimized for cross-cluster search requests. Defaults totrue
. -
expand_wildcards
-
(Optional, string) Controls what kind of indices that wildcard expressions can expand to. Valid values are:
-
all
- Expand to open and closed indices.
-
open
- Expand only to open indices.
-
closed
- Expand only to closed indices.
-
none
- Wildcard expressions are not accepted.
-
-
explain
-
(Optional, boolean) If
true
, the response includes additional details about score computation as part of a hit. Defaults tofalse
. -
ignore_throttled
-
(Optional, boolean) If
true
, specified concrete, expanded or aliased indices are not included in the response when throttled. Defaults tofalse
. -
ignore_unavailable
-
(Optional, boolean) If
true
, missing or closed indices are not included in the response. Defaults tofalse
. -
preference
- (Optional, string) Specifies the node or shard the operation should be performed on. Random by default.
-
profile
-
(Optional, boolean) If
true
, the query execution is profiled. Defaults tofalse
. -
rest_total_hits_as_int
-
(Optional, boolean) If
true
,hits.total
are rendered as an integer in the response. Defaults tofalse
. -
routing
- (Optional, string) Target the specified primary shard.
-
scroll
- (Optional, time units) Specifies how long a consistent view of the index should be maintained for scrolled search.
-
search_type
-
(Optional, string) The type of the search operation. Available options:
-
query_then_fetch
-
dfs_query_then_fetch
-
-
typed_keys
-
(Optional, boolean) If
true
, aggregation and suggester names are prefixed by their respective types in the response. Defaults tofalse
.
Request body
editThe API request body must contain the search definition template and its parameters.
Response codes
editStore a search template
editYou can store a search template using the stored scripts API.
POST _scripts/<templateid> { "script": { "lang": "mustache", "source": { "query": { "match": { "title": "{{query_string}}" } } } } }
The template can be retrieved by calling
GET _scripts/<templateid>
The API returns the following result:
{ "script" : { "lang" : "mustache", "source" : "{\"query\":{\"match\":{\"title\":\"{{query_string}}\"}}}", "options": { "content_type" : "application/json; charset=UTF-8" } }, "_id": "<templateid>", "found": true }
This template can be deleted by calling
DELETE _scripts/<templateid>
Using a stored search template
editTo use a stored template at search time send the following request:
Validating a search template
editA template can be rendered in a response with given parameters by using the following request:
GET _render/template { "source": "{ \"query\": { \"terms\": {{#toJson}}statuses{{/toJson}} }}", "params": { "statuses" : { "status": [ "pending", "published" ] } } }
The API returns the rendered template:
Stored templates can also be rendered by calling the following request:
GET _render/template/<template_name> { "params": { "..." } }
Using the explain parameter
editYou can use the explain
parameter when running a template:
GET _search/template { "id": "my_template", "params": { "status": [ "pending", "published" ] }, "explain": true }
Profiling
editYou can use the profile
parameter when running a template:
GET _search/template { "id": "my_template", "params": { "status": [ "pending", "published" ] }, "profile": true }
Filling in a query string with a single value
editGET _search/template { "source": { "query": { "term": { "message": "{{query_string}}" } } }, "params": { "query_string": "search for these words" } }
Converting parameters to JSON
editThe {{#toJson}}parameter{{/toJson}}
function can be used to convert parameters
like maps and array to their JSON representation:
GET _search/template { "source": "{ \"query\": { \"terms\": {{#toJson}}statuses{{/toJson}} }}", "params": { "statuses" : { "status": [ "pending", "published" ] } } }
which is rendered as:
{ "query": { "terms": { "status": [ "pending", "published" ] } } }
A more complex example substitutes an array of JSON objects:
GET _search/template { "source": "{\"query\":{\"bool\":{\"must\": {{#toJson}}clauses{{/toJson}} }}}", "params": { "clauses": [ { "term": { "user" : "foo" } }, { "term": { "user" : "bar" } } ] } }
which is rendered as:
{ "query" : { "bool" : { "must" : [ { "term" : { "user" : "foo" } }, { "term" : { "user" : "bar" } } ] } } }
Concatenating array of values
editThe {{#join}}array{{/join}}
function can be used to concatenate the
values of an array as a comma delimited string:
GET _search/template { "source": { "query": { "match": { "emails": "{{#join}}emails{{/join}}" } } }, "params": { "emails": [ "username@email.com", "lastname@email.com" ] } }
which is rendered as:
{ "query" : { "match" : { "emails" : "username@email.com,lastname@email.com" } } }
The function also accepts a custom delimiter:
GET _search/template { "source": { "query": { "range": { "born": { "gte" : "{{date.min}}", "lte" : "{{date.max}}", "format": "{{#join delimiter='||'}}date.formats{{/join delimiter='||'}}" } } } }, "params": { "date": { "min": "2016", "max": "31/12/2017", "formats": ["dd/MM/yyyy", "yyyy"] } } }
which is rendered as:
{ "query" : { "range" : { "born" : { "gte" : "2016", "lte" : "31/12/2017", "format" : "dd/MM/yyyy||yyyy" } } } }
Default values
editA default value is written as {{var}}{{^var}}default{{/var}}
for instance:
{ "source": { "query": { "range": { "line_no": { "gte": "{{start}}", "lte": "{{end}}{{^end}}20{{/end}}" } } } }, "params": { ... } }
When params
is { "start": 10, "end": 15 }
this query would be rendered as:
{ "range": { "line_no": { "gte": "10", "lte": "15" } } }
But when params
is { "start": 10 }
this query would use the default value
for end
:
{ "range": { "line_no": { "gte": "10", "lte": "20" } } }
Conditional clauses
editConditional clauses cannot be expressed using the JSON form of the template.
Instead, the template must be passed as a string. For instance, let’s say
we wanted to run a match
query on the line
field, and optionally wanted
to filter by line numbers, where start
and end
are optional.
The params
would look like:
We could write the query as:
{ "query": { "bool": { "must": { "match": { "line": "{{text}}" } }, "filter": { {{#line_no}} "range": { "line_no": { {{#start}} "gte": "{{start}}" {{#end}},{{/end}} {{/start}} {{#end}} "lte": "{{end}}" {{/end}} } } {{/line_no}} } } } }
Fill in the value of param |
|
Include the |
|
Include the |
|
Fill in the value of param |
|
Add a comma after the |
|
Include the |
|
Fill in the value of param |
As written above, this template is not valid JSON because it includes the
section markers like {{#line_no}}
. For this reason, the template should
either be stored in a file (see Store a search template) or, when used
via the REST API, should be written as a string:
"source": "{\"query\":{\"bool\":{\"must\":{\"match\":{\"line\":\"{{text}}\"}},\"filter\":{{{#line_no}}\"range\":{\"line_no\":{{{#start}}\"gte\":\"{{start}}\"{{#end}},{{/end}}{{/start}}{{#end}}\"lte\":\"{{end}}\"{{/end}}}}{{/line_no}}}}}}"
Encoding URLs
editThe {{#url}}value{{/url}}
function can be used to encode a string value
in a HTML encoding form as defined in by the
HTML specification.
As an example, it is useful to encode a URL:
GET _render/template { "source" : { "query" : { "term": { "http_access_log": "{{#url}}{{host}}/{{page}}{{/url}}" } } }, "params": { "host": "https://www.elastic.co/", "page": "learn" } }
The previous query will be rendered as:
{ "template_output" : { "query" : { "term" : { "http_access_log" : "https%3A%2F%2Fwww.elastic.co%2F%2Flearn" } } } }
On this page
- Request
- Description
- Path parameters
- Query parameters
- Request body
- Response codes
- Store a search template
- Using a stored search template
- Validating a search template
- Using the explain parameter
- Profiling
- Filling in a query string with a single value
- Converting parameters to JSON
- Concatenating array of values
- Default values
- Conditional clauses
- Encoding URLs