- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
- Heap size check
- File descriptor check
- Memory lock check
- Maximum number of threads check
- Max file size check
- Maximum size virtual memory check
- Maximum map count check
- Client JVM check
- Use serial collector check
- System call filter check
- OnError and OnOutOfMemoryError checks
- Early-access check
- G1GC check
- All permission check
- Discovery configuration check
- Starting Elasticsearch
- Stopping Elasticsearch
- Adding nodes to your cluster
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- API conventions
- Document APIs
- Search APIs
- 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
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
- Derivative Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Moving Function Aggregation
- Cumulative Sum Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Metrics Aggregations
- Indices APIs
- Create Index
- Delete Index
- Get Index
- Indices Exists
- Open / Close Index API
- Shrink Index
- Split Index
- Rollover Index
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Index Templates
- Indices Stats
- Indices Segments
- Indices Recovery
- Indices Shard Stores
- Clear Cache
- Flush
- Refresh
- Force Merge
- cat APIs
- Cluster APIs
- Query DSL
- Scripting
- Mapping
- Analysis
- Anatomy of an analyzer
- Testing analyzers
- Analyzers
- Normalizers
- Tokenizers
- Standard Tokenizer
- Letter Tokenizer
- Lowercase Tokenizer
- Whitespace Tokenizer
- UAX URL Email Tokenizer
- Classic Tokenizer
- Thai Tokenizer
- NGram Tokenizer
- Edge NGram Tokenizer
- Keyword Tokenizer
- Pattern Tokenizer
- Char Group Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Path Hierarchy Tokenizer
- Path Hierarchy Tokenizer Examples
- Token Filters
- ASCII Folding Token Filter
- Flatten Graph Token Filter
- Length Token Filter
- Lowercase Token Filter
- Uppercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Word Delimiter Graph Token Filter
- Multiplexer Token Filter
- Conditional Token Filter
- Predicate Token Filter Script
- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Snowball Token Filter
- Phonetic Token Filter
- Synonym Token Filter
- Parsing synonym files
- Synonym Graph Token Filter
- Compound Word Token Filters
- Reverse Token Filter
- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
- Common Grams Token Filter
- Normalization Token Filter
- CJK Width Token Filter
- CJK Bigram Token Filter
- Delimited Payload Token Filter
- Keep Words Token Filter
- Keep Types Token Filter
- Exclude mode settings example
- Classic Token Filter
- Apostrophe Token Filter
- Decimal Digit Token Filter
- Fingerprint Token Filter
- Minhash Token Filter
- Remove Duplicates Token Filter
- Character Filters
- Modules
- Index modules
- Ingest node
- Pipeline Definition
- Ingest APIs
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
- Bytes Processor
- Convert Processor
- Date Processor
- Date Index Name Processor
- Dissect Processor
- Dot Expander Processor
- Drop Processor
- Fail Processor
- Foreach Processor
- GeoIP Processor
- Grok Processor
- Gsub Processor
- Join Processor
- JSON Processor
- KV Processor
- Lowercase Processor
- Pipeline Processor
- Remove Processor
- Rename Processor
- Script Processor
- Set Processor
- Set Security User Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- URL Decode Processor
- User Agent processor
- Managing the index lifecycle
- Getting started with index lifecycle management
- Policy phases and actions
- Set up index lifecycle management policy
- Using policies to manage index rollover
- Update policy
- Index lifecycle error handling
- Restoring snapshots of managed indices
- Start and stop index lifecycle management
- Using ILM with existing indices
- SQL access
- Monitor a cluster
- Rolling up historical data
- Frozen indices
- Set up a cluster for high availability
- X-Pack APIs
- Info API
- Cross-cluster replication APIs
- Explore API
- Freeze index
- Index lifecycle management API
- Licensing APIs
- Migration APIs
- Machine learning APIs
- Add events to calendar
- Add jobs to calendar
- Close jobs
- Create calendar
- Create datafeeds
- Create filter
- Create jobs
- 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 calendars
- Get buckets
- Get overall buckets
- Get categories
- Get datafeeds
- Get datafeed statistics
- Get influencers
- Get jobs
- Get job statistics
- Get machine learning info
- Get model snapshots
- 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
- Rollup APIs
- Security APIs
- Authenticate
- Change passwords
- Clear cache
- Clear roles cache
- Create API keys
- Create or update application privileges
- Create or update role mappings
- Create or update roles
- Create or update users
- Delete application privileges
- Delete role mappings
- Delete roles
- Delete users
- Disable users
- Enable users
- Get API key information
- Get application privileges
- Get role mappings
- Get roles
- Get token
- Get users
- Has privileges
- Invalidate API key
- Invalidate token
- SSL certificate
- Unfreeze index
- Watcher APIs
- Definitions
- Secure a cluster
- Overview
- Configuring security
- Encrypting communications in Elasticsearch
- Encrypting communications in an Elasticsearch Docker Container
- Enabling cipher suites for stronger encryption
- Separating node-to-node and client traffic
- Configuring an Active Directory realm
- Configuring a file realm
- Configuring an LDAP realm
- Configuring a native realm
- Configuring a PKI realm
- Configuring a SAML realm
- Configuring a Kerberos realm
- FIPS 140-2
- Security files
- How security works
- User authentication
- Built-in users
- Internal users
- Token-based authentication services
- Realms
- Realm chains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- 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
- User authorization
- Auditing security events
- Encrypting communications
- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
- Common SSL/TLS exceptions
- Common Kerberos exceptions
- Common SAML issues
- Internal Server Error in Kibana
- Setup-passwords command fails due to connection failure
- Failures due to relocation of the configuration files
- Limitations
- Alerting on cluster and index events
- Command line tools
- How To
- Testing
- Glossary of terms
- Release highlights
- Breaking changes
- Release notes
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 v7.0.1 from: https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.0.1-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-7.0.1-windows-x86_64.zip
Unzip it with your favourite unzip tool. This will create a folder called
elasticsearch-7.0.1
, which we will refer to as %ES_HOME%
. In a terminal
window, cd
to the %ES_HOME%
directory, for instance:
cd c:\elasticsearch-7.0.1
Enable automatic creation of X-Pack indices
editX-Pack will try to automatically create a number of 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
X-Pack 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
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" : "7.0.1", "build_flavor" : "default", "build_type" : "tar", "build_hash" : "f27399d", "build_date" : "2016-03-30T09:51:41.449Z", "build_snapshot" : false, "lucene_version" : "8.0.0", "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-7.0.1\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-7.0.1\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 X-Pack 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