- Elasticsearch Guide: other versions:
- What is Elasticsearch?
- What’s new in 7.7
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Setting JVM options
- Secure settings
- Auditing settings
- Circuit breaker settings
- Cluster-level shard allocation and routing settings
- Cross-cluster replication settings
- Discovery and cluster formation settings
- Field data cache settings
- HTTP
- Index lifecycle management settings
- Index recovery settings
- Indexing buffer settings
- License settings
- Local gateway settings
- Logging configuration
- Machine learning settings
- Monitoring settings
- Node
- Network settings
- Node query cache settings
- Search settings
- Security settings
- Shard request cache settings
- Snapshot lifecycle management settings
- SQL access settings
- Transforms settings
- Transport
- Thread pools
- 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
- 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
- Set up X-Pack
- Configuring X-Pack Java Clients
- Plugins
- Upgrade Elasticsearch
- Search your data
- Query DSL
- 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
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Weighted Avg Aggregation
- Boxplot Aggregation
- Cardinality Aggregation
- Stats Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
- Geo Centroid Aggregation
- Max Aggregation
- Min Aggregation
- Median Absolute Deviation Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- String Stats Aggregation
- Sum Aggregation
- Top Hits Aggregation
- Top Metrics Aggregation
- Value Count 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
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Avg Bucket Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Cumulative Cardinality Aggregation
- Cumulative Sum Aggregation
- Derivative Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Moving Function Aggregation
- Serial Differencing Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket 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
- 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
- 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
- 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
- cat aliases
- cat allocation
- cat anomaly detectors
- 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 shards
- cat segments
- 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
- Cluster reroute
- Cluster state
- Cluster stats
- Cluster update settings
- Nodes feature usage
- Nodes hot threads
- Nodes info
- Nodes reload secure settings
- Nodes stats
- Pending cluster tasks
- Remote cluster info
- Task management
- Voting configuration exclusions
- 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
- Estimate model memory
- 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
- Breaking changes
- Release notes
- Elasticsearch version 7.7.1
- Elasticsearch version 7.7.0
- 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
Install Elasticsearch with .zip on Windows
editInstall Elasticsearch with .zip
on Windows
editElasticsearch can be installed on Windows using the Windows .zip
archive. This
comes with a elasticsearch-service.bat
command which will setup Elasticsearch to run as a
service.
Elasticsearch has historically been installed on Windows using the .zip
archive.
An MSI installer package is available that provides the easiest getting started
experience for Windows. You can continue using the .zip
approach if you prefer.
This package is free to use under the Elastic license. It contains open source and free commercial features and access to paid commercial features. Start a 30-day trial to try out all of the paid commercial features. See the Subscriptions page for information about Elastic license levels.
On Windows the Elasticsearch machine learning feature requires the Microsoft Universal C Runtime library. This is built into Windows 10, Windows Server 2016 and more recent versions of Windows. For older versions of Windows it can be installed via Windows Update, or from a separate download. If you cannot install the Microsoft Universal C Runtime library you can still use the rest of Elasticsearch if you disable the machine learning feature.
The latest stable version of Elasticsearch can be found on the Download Elasticsearch page. Other versions can be found on the Past Releases page.
Elasticsearch includes a bundled version of OpenJDK from the JDK maintainers (GPLv2+CE). To use your own version of Java, see the JVM version requirements
Download and install the .zip
package
editDownload the .zip
archive for Elasticsearch v7.7.1 from: https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.7.1-windows-x86_64.zip
Alternatively, you can download the following package, which contains only features that are available under the Apache 2.0 license: https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-oss-7.7.1-windows-x86_64.zip
Unzip it with your favourite unzip tool. This will create a folder called
elasticsearch-7.7.1
, which we will refer to as %ES_HOME%
. In a terminal
window, cd
to the %ES_HOME%
directory, for instance:
cd c:\elasticsearch-7.7.1
Enable automatic creation of system indices
editSome commercial features automatically create indices within Elasticsearch.
By default, Elasticsearch is configured to allow automatic index creation, and no
additional steps are required. However, if you have disabled automatic index
creation in Elasticsearch, you must configure
action.auto_create_index
in elasticsearch.yml
to allow
the commercial features to create the following indices:
action.auto_create_index: .monitoring*,.watches,.triggered_watches,.watcher-history*,.ml*
If you are using Logstash
or Beats then you will most likely
require additional index names in your action.auto_create_index
setting, and
the exact value will depend on your local configuration. If you are unsure of
the correct value for your environment, you may consider setting the value to
*
which will allow automatic creation of all indices.
Running Elasticsearch from the command line
editElasticsearch can be started from the command line as follows:
.\bin\elasticsearch.bat
If you have password-protected the Elasticsearch keystore, you will be prompted to enter the keystore’s password. See Secure settings for more details.
By default, Elasticsearch runs in the foreground, prints its logs to STDOUT
,
and can be stopped by pressing Ctrl-C
.
Configuring Elasticsearch on the command line
editElasticsearch loads its configuration from the %ES_HOME%\config\elasticsearch.yml
file by default. The format of this config file is explained in
Configuring Elasticsearch.
Any settings that can be specified in the config file can also be specified on
the command line, using the -E
syntax as follows:
.\bin\elasticsearch.bat -Ecluster.name=my_cluster -Enode.name=node_1
Values that contain spaces must be surrounded with quotes. For instance -Epath.logs="C:\My Logs\logs"
.
Typically, any cluster-wide settings (like cluster.name
) should be
added to the elasticsearch.yml
config file, while any node-specific settings
such as node.name
could be specified on the command line.
Checking that Elasticsearch is running
editYou can test that your Elasticsearch node is running by sending an HTTP
request to port 9200
on localhost
:
GET /
which should give you a response something like this:
{ "name" : "Cp8oag6", "cluster_name" : "elasticsearch", "cluster_uuid" : "AT69_T_DTp-1qgIJlatQqA", "version" : { "number" : "7.7.1", "build_flavor" : "default", "build_type" : "tar", "build_hash" : "f27399d", "build_date" : "2016-03-30T09:51:41.449Z", "build_snapshot" : false, "lucene_version" : "8.5.1", "minimum_wire_compatibility_version" : "1.2.3", "minimum_index_compatibility_version" : "1.2.3" }, "tagline" : "You Know, for Search" }
Installing Elasticsearch as a Service on Windows
editElasticsearch can be installed as a service to run in the background or start
automatically at boot time without any user interaction. This can be achieved
through the elasticsearch-service.bat
script in the bin\
folder which allows one to
install, remove, manage or configure the service and potentially start and
stop the service, all from the command-line.
c:\elasticsearch-7.7.1\bin>elasticsearch-service.bat Usage: elasticsearch-service.bat install|remove|start|stop|manager [SERVICE_ID]
The script requires one parameter (the command to execute) followed by an optional one indicating the service id (useful when installing multiple Elasticsearch services).
The commands available are:
|
Install Elasticsearch as a service |
|
Remove the installed Elasticsearch service (and stop the service if started) |
|
Start the Elasticsearch service (if installed) |
|
Stop the Elasticsearch service (if started) |
|
Start a GUI for managing the installed service |
The name of the service and the value of JAVA_HOME
will be made available during install:
c:\elasticsearch-7.7.1\bin>elasticsearch-service.bat install Installing service : "elasticsearch-service-x64" Using JAVA_HOME (64-bit): "c:\jvm\jdk1.8" The service 'elasticsearch-service-x64' has been installed.
While a JRE can be used for the Elasticsearch service, due to its use of a client VM (as opposed to a server JVM which offers better performance for long-running applications) its usage is discouraged and a warning will be issued.
The system environment variable JAVA_HOME
should be set to the path to
the JDK installation that you want the service to use. If you upgrade the JDK,
you are not required to the reinstall the service but you must set the value of
the system environment variable JAVA_HOME
to the path to the new JDK
installation. However, upgrading across JVM types (e.g. JRE versus SE) is not
supported, and does require the service to be reinstalled.
Customizing service settings
editThe Elasticsearch service can be configured prior to installation by setting the following environment variables (either using the set command from the command line, or through the System Properties->Environment Variables
GUI).
|
A unique identifier for the service. Useful if installing multiple instances
on the same machine. Defaults to |
|
The user to run as, defaults to the local system account. |
|
The password for the user specified in |
|
The name of the service. Defaults to |
|
The description of the service. Defaults to |
|
The installation directory of the desired JVM to run the service under. |
|
Service log directory, defaults to |
|
Configuration file directory (which needs to include |
|
Any additional JVM system properties you may want to apply. |
|
Startup mode for the service. Can be either |
|
The timeout in seconds that procrun waits for service to exit gracefully. Defaults to |
At its core, elasticsearch-service.bat
relies on Apache Commons Daemon project
to install the service. Environment variables set prior to the service installation are copied and will be used during the service lifecycle. This means any changes made to them after the installation will not be picked up unless the service is reinstalled.
On Windows, the heap size can be configured as for
any other Elasticsearch installation when running Elasticsearch from the
command line, or when installing Elasticsearch as a service for the
first time. To adjust the heap size for an already installed service,
use the service manager: bin\elasticsearch-service.bat manager
.
The service automatically configures a private temporary directory for use
by Elasticsearch when it is running. This private temporary directory is
configured as a sub-directory of the private temporary directory for the user
running the installation. If the service will run under a different user, you
can configure the location of the temporary directory that the service should
use by setting the environment variable ES_TMPDIR
to the preferred location
before you execute the service installation.
- Using the Manager GUI
-
It is also possible to configure the service after it’s been installed using the manager GUI (
elasticsearch-service-mgr.exe
), which offers insight into the installed service, including its status, startup type, JVM, start and stop settings amongst other things. Simply invokingelasticsearch-service.bat manager
from the command-line will open up the manager window:

Most changes (like JVM settings) made through the manager GUI will require a restart of the service in order to take affect.
Directory layout of .zip
archive
editThe .zip
package is entirely self-contained. All files and directories are,
by default, contained within %ES_HOME%
— the directory created when
unpacking the archive.
This is very convenient because you don’t have to create any directories to
start using Elasticsearch, and uninstalling Elasticsearch is as easy as
removing the %ES_HOME%
directory. However, it is advisable to change the
default locations of the config directory, the data directory, and the logs
directory so that you do not delete important data later on.
Type | Description | Default Location | Setting |
---|---|---|---|
home |
Elasticsearch home directory or |
Directory created by unpacking the archive |
|
bin |
Binary scripts including |
|
|
conf |
Configuration files including |
|
|
data |
The location of the data files of each index / shard allocated on the node. Can hold multiple locations. |
|
|
logs |
Log files location. |
|
|
plugins |
Plugin files location. Each plugin will be contained in a subdirectory. |
|
|
repo |
Shared file system repository locations. Can hold multiple locations. A file system repository can be placed in to any subdirectory of any directory specified here. |
Not configured |
|
Next steps
editYou now have a test Elasticsearch environment set up. Before you start serious development or go into production with Elasticsearch, you must do some additional setup:
- Learn how to configure Elasticsearch.
- Configure important Elasticsearch settings.
- Configure important system settings.
On this page
- Download and install the
.zip
package - Enable automatic creation of system indices
- Running Elasticsearch from the command line
- Configuring Elasticsearch on the command line
- Checking that Elasticsearch is running
- Installing Elasticsearch as a Service on Windows
- Customizing service settings
- Directory layout of
.zip
archive - Next steps