- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Setting JVM options
- Secure settings
- Logging configuration
- Auditing settings
- Cross-cluster replication settings
- Transforms settings
- Index lifecycle management settings
- License settings
- Machine learning settings
- Monitoring settings
- Security settings
- Snapshot lifecycle management settings
- SQL access settings
- Watcher settings
- 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
- String 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
- Indexing aggregation results with transforms
- Metrics Aggregations
- Query DSL
- Search across clusters
- Scripting
- Mapping
- Text analysis
- Overview
- Concepts
- Configure text analysis
- Built-in analyzer reference
- Tokenizer reference
- 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 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
- Modules
- Index modules
- Ingest node
- Pipeline Definition
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
- Handling Failures in Pipelines
- Enrich your data
- Processors
- Append Processor
- Bytes Processor
- Circle Processor
- Convert Processor
- CSV Processor
- Date Processor
- Date Index Name Processor
- Dissect Processor
- Dot Expander Processor
- Drop Processor
- Enrich Processor
- Fail Processor
- Foreach Processor
- GeoIP Processor
- Grok Processor
- Gsub Processor
- HTML Strip Processor
- Inference 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
- ILM: Manage the index lifecycle
- 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
- Snapshot and restore
- 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
- Glossary of terms
- REST APIs
- API conventions
- cat APIs
- Cluster APIs
- Cross-cluster replication APIs
- Document APIs
- Enrich 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
- Create data frame analytics jobs
- Create inference trained model
- Delete data frame analytics jobs
- Delete inference trained model
- Evaluate data frame analytics
- Explain data frame analytics API
- Get data frame analytics jobs
- Get data frame analytics jobs stats
- Get inference trained model
- Get inference trained model stats
- Start data frame analytics jobs
- Stop data frame analytics jobs
- 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
- SAML prepare authentication API
- SAML authenticate API
- SAML logout API
- SAML invalidate API
- SSL certificate
- Snapshot and restore APIs
- Snapshot lifecycle management API
- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- Release highlights
- Breaking changes
- Release notes
- Elasticsearch version 7.6.2
- Elasticsearch version 7.6.1
- Elasticsearch version 7.6.0
- Elasticsearch version 7.5.2
- Elasticsearch version 7.5.1
- Elasticsearch version 7.5.0
- 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
Get Elasticsearch up and running
editGet Elasticsearch up and running
editTo take Elasticsearch for a test drive, you can create a hosted deployment on the Elasticsearch Service or set up a multi-node Elasticsearch cluster on your own Linux, macOS, or Windows machine.
Run Elasticsearch on Elastic Cloud
editWhen you create a deployment on the Elasticsearch Service, the service provisions a three-node Elasticsearch cluster along with Kibana and APM.
To create a deployment:
- Sign up for a free trial and verify your email address.
- Set a password for your account.
- Click Create Deployment.
Once you’ve created a deployment, you’re ready to Index some documents.
Run Elasticsearch locally on Linux, macOS, or Windows
editWhen you create a deployment on the Elasticsearch Service, a master node and two data nodes are provisioned automatically. By installing from the tar or zip archive, you can start multiple instances of Elasticsearch locally to see how a multi-node cluster behaves.
To run a three-node Elasticsearch cluster locally:
-
Download the Elasticsearch archive for your OS:
Linux: elasticsearch-7.6.2-linux-x86_64.tar.gz
curl -L -O https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.6.2-linux-x86_64.tar.gz
macOS: elasticsearch-7.6.2-darwin-x86_64.tar.gz
curl -L -O https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.6.2-darwin-x86_64.tar.gz
-
Extract the archive:
Linux:
tar -xvf elasticsearch-7.6.2-linux-x86_64.tar.gz
macOS:
tar -xvf elasticsearch-7.6.2-darwin-x86_64.tar.gz
Windows PowerShell:
Expand-Archive elasticsearch-7.6.2-windows-x86_64.zip
-
Start Elasticsearch from the
bin
directory:Linux and macOS:
cd elasticsearch-7.6.2/bin ./elasticsearch
Windows:
cd elasticsearch-7.6.2\bin .\elasticsearch.bat
You now have a single-node Elasticsearch cluster up and running!
-
Start two more instances of Elasticsearch so you can see how a typical multi-node cluster behaves. You need to specify unique data and log paths for each node.
Linux and macOS:
./elasticsearch -Epath.data=data2 -Epath.logs=log2 ./elasticsearch -Epath.data=data3 -Epath.logs=log3
Windows:
.\elasticsearch.bat -E path.data=data2 -E path.logs=log2 .\elasticsearch.bat -E path.data=data3 -E path.logs=log3
The additional nodes are assigned unique IDs. Because you’re running all three nodes locally, they automatically join the cluster with the first node.
-
Use the cat health API to verify that your three-node cluster is up running. The cat APIs return information about your cluster and indices in a format that’s easier to read than raw JSON.
You can interact directly with your cluster by submitting HTTP requests to the Elasticsearch REST API. If you have Kibana installed and running, you can also open Kibana and submit requests through the Dev Console.
You’ll want to check out the Elasticsearch language clients when you’re ready to start using Elasticsearch in your own applications.
GET /_cat/health?v
The response should indicate that the status of the
elasticsearch
cluster isgreen
and it has three nodes:epoch timestamp cluster status node.total node.data shards pri relo init unassign pending_tasks max_task_wait_time active_shards_percent 1565052807 00:53:27 elasticsearch green 3 3 6 3 0 0 0 0 - 100.0%
The cluster status will remain yellow if you are only running a single instance of Elasticsearch. A single node cluster is fully functional, but data cannot be replicated to another node to provide resiliency. Replica shards must be available for the cluster status to be green. If the cluster status is red, some data is unavailable.
Talking to Elasticsearch with cURL commands
editMost of the examples in this guide enable you to copy the appropriate cURL command and submit the request to your local Elasticsearch instance from the command line.
A request to Elasticsearch consists of the same parts as any HTTP request:
curl -X<VERB> '<PROTOCOL>://<HOST>:<PORT>/<PATH>?<QUERY_STRING>' -d '<BODY>'
This example uses the following variables:
-
<VERB>
-
The appropriate HTTP method or verb. For example,
GET
,POST
,PUT
,HEAD
, orDELETE
. -
<PROTOCOL>
-
Either
http
orhttps
. Use the latter if you have an HTTPS proxy in front of Elasticsearch or you use Elasticsearch security features to encrypt HTTP communications. -
<HOST>
-
The hostname of any node in your Elasticsearch cluster. Alternatively, use
localhost
for a node on your local machine. -
<PORT>
-
The port running the Elasticsearch HTTP service, which defaults to
9200
. -
<PATH>
-
The API endpoint, which can contain multiple components, such as
_cluster/stats
or_nodes/stats/jvm
. -
<QUERY_STRING>
-
Any optional query-string parameters. For example,
?pretty
will pretty-print the JSON response to make it easier to read. -
<BODY>
- A JSON-encoded request body (if necessary).
If the Elasticsearch security features are enabled, you must also provide a valid user
name (and password) that has authority to run the API. For example, use the
-u
or --u
cURL command parameter. For details about which security
privileges are required to run each API, see REST APIs.
Elasticsearch responds to each API request with an HTTP status code like 200 OK
. With
the exception of HEAD
requests, it also returns a JSON-encoded response body.
Other installation options
editInstalling Elasticsearch from an archive file enables you to easily install and run multiple instances locally so you can try things out. To run a single instance, you can run Elasticsearch in a Docker container, install Elasticsearch using the DEB or RPM packages on Linux, install using Homebrew on macOS, or install using the MSI package installer on Windows. See Installing Elasticsearch for more information.
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