- Elasticsearch Guide: other versions:
- What’s new in 8.17
- 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
- Data stream lifecycle settings
- Field data cache settings
- Local gateway settings
- Health Diagnostic settings
- Index lifecycle management settings
- Index management settings
- Index recovery settings
- Indexing buffer settings
- Inference settings
- License settings
- Machine learning settings
- Monitoring settings
- Node settings
- Networking
- Node query cache settings
- Path settings
- Search settings
- Security settings
- Shard request cache settings
- Snapshot and restore settings
- Transforms settings
- Thread pools
- Watcher settings
- Set JVM options
- 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
- Upgrade Elasticsearch
- Index modules
- 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
- Index templates
- Data streams
- 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
- Aliases
- Search your data
- Re-ranking
- Query DSL
- 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
- Connectors
- 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
- 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
- Autoscaling
- Monitor a cluster
- Roll up or transform your data
- Set up a cluster for high availability
- Snapshot and restore
- 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
- Watcher
- Cross-cluster replication
- Data store architecture
- 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
- Optimizations
- 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
- Migration guide
- Release notes
- Elasticsearch version 8.17.1
- Elasticsearch version 8.17.0
- 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
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.
This package contains both free and subscription features. Start a 30-day trial to try out all of the features.
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 8.17.1 from: https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-8.17.1-windows-x86_64.zip
Unzip it with your favorite unzip tool. This will create a folder called
elasticsearch-8.17.1
, which we will refer to as %ES_HOME%
. In a terminal
window, cd
to the %ES_HOME%
directory, for instance:
cd C:\Program Files\elasticsearch-8.17.1
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.
Run Elasticsearch from the command line
editRun the following command to start Elasticsearch from the command line:
.\bin\elasticsearch.bat
When starting Elasticsearch for the first time, security features are enabled and configured by default. The following security configuration occurs automatically:
-
Authentication and authorization are enabled, and a password is generated for
the
elastic
built-in superuser. - Certificates and keys for TLS are generated for the transport and HTTP layer, and TLS is enabled and configured with these keys and certificates.
- An enrollment token is generated for Kibana, which is valid for 30 minutes.
The password for the elastic
user and the enrollment token for Kibana are
output to your terminal.
We recommend storing the elastic
password as an environment variable in your shell. Example:
$ELASTIC_PASSWORD = "your_password"
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 prints its logs to the console (STDOUT
) and to the <cluster
name>.log
file within the logs directory. Elasticsearch logs some
information while it is starting, but after it has finished initializing it
will continue to run in the foreground and won’t log anything further until
something happens that is worth recording. While Elasticsearch is running you can
interact with it through its HTTP interface which is on port 9200
by default.
To stop Elasticsearch, press Ctrl-C
.
Enroll nodes in an existing cluster
editWhen Elasticsearch starts for the first time, the security auto-configuration process
binds the HTTP layer to 0.0.0.0
, but only binds the transport layer to
localhost. This intended behavior ensures that you can start
a single-node cluster with security enabled by default without any additional
configuration.
Before enrolling a new node, additional actions such as binding to an address
other than localhost
or satisfying bootstrap checks are typically necessary
in production clusters. During that time, an auto-generated enrollment token
could expire, which is why enrollment tokens aren’t generated automatically.
Additionally, only nodes on the same host can join the cluster without
additional configuration. If you want nodes from another host to join your
cluster, you need to set transport.host
to a
supported value
(such as uncommenting the suggested value of 0.0.0.0
), or an IP address
that’s bound to an interface where other hosts can reach it. Refer to
transport settings for more
information.
To enroll new nodes in your cluster, create an enrollment token with the
elasticsearch-create-enrollment-token
tool on any existing node in your
cluster. You can then start a new node with the --enrollment-token
parameter
so that it joins an existing cluster.
-
In a separate terminal from where Elasticsearch is running, navigate to the directory where you installed Elasticsearch and run the
elasticsearch-create-enrollment-token
tool to generate an enrollment token for your new nodes.bin\elasticsearch-create-enrollment-token -s node
Copy the enrollment token, which you’ll use to enroll new nodes with your Elasticsearch cluster.
-
From the installation directory of your new node, start Elasticsearch and pass the enrollment token with the
--enrollment-token
parameter.bin\elasticsearch --enrollment-token <enrollment-token>
Elasticsearch automatically generates certificates and keys in the following directory:
config\certs
- Repeat the previous step for any new nodes that you want to enroll.
Configure 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.
Check that Elasticsearch is running
editYou can test that your Elasticsearch node is running by sending an HTTPS request to port
9200
on localhost
:
curl --cacert %ES_HOME%\config\certs\http_ca.crt -u elastic:$ELASTIC_PASSWORD https://localhost:9200
Ensure that you use
|
The call returns a response like this:
{ "name" : "Cp8oag6", "cluster_name" : "elasticsearch", "cluster_uuid" : "AT69_T_DTp-1qgIJlatQqA", "version" : { "number" : "8.17.1", "build_type" : "tar", "build_hash" : "f27399d", "build_flavor" : "default", "build_date" : "2016-03-30T09:51:41.449Z", "build_snapshot" : false, "lucene_version" : "9.12.0", "minimum_wire_compatibility_version" : "1.2.3", "minimum_index_compatibility_version" : "1.2.3" }, "tagline" : "You Know, for Search" }
Install and run Elasticsearch as a service on Windows
editYou can install Elasticsearch as a service that runs in the background or starts automatically at boot time without user interaction.
-
Install Elasticsearch as a service. The name of the service and the value of
ES_JAVA_HOME
will be made available during install:C:\Program Files\elasticsearch-8.17.1\bin>elasticsearch-service.bat install Installing service : "elasticsearch-service-x64" Using ES_JAVA_HOME (64-bit): "C:\jvm\jdk1.8" The service 'elasticsearch-service-x64' has been installed.
-
Start Elasticsearch as a service. When Elasticsearch starts, authentication is enabled by default:
C:\Program Files\elasticsearch-8.17.1\bin>bin\elasticsearch-service.bat start
TLS is not enabled or configured when you start Elasticsearch as a service.
-
Generate a password for the
elastic
user with theelasticsearch-reset-password
tool. The password is output to the command line.C:\Program Files\elasticsearch-8.17.1\bin>\bin\elasticsearch-reset-password -u elastic
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 ES_JAVA_HOME
should be set to the path
of 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 ES_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.
Manage Elasticsearch as a service on Windows
editRun the elasticsearch-service.bat
script in the bin\
folder to install,
remove, manage, or configure the service and potentially start and stop the
service from the command line.
C:\Program Files\elasticsearch-8.17.1\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 |
Customize 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.
By default, Elasticsearch automatically sizes JVM heap based on a node’s roles and total memory. We recommend this default sizing for most production environments. If needed, you can override default sizing by manually setting the heap size.
When installing Elasticsearch on Windows as a service for the first time or running Elasticsearch
from the command line, you can manually Set the JVM heap size.
To resize the heap 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. Invokeelasticsearch-service.bat manager
from the command-line to open the manager window.
Most changes (like JVM settings) made through the manager GUI will require a restart of the service to take affect.
Connect clients to Elasticsearch
editWhen you start Elasticsearch for the first time, TLS is configured automatically for the HTTP layer. A CA certificate is generated and stored on disk at:
%ES_HOME%\config\certs\http_ca.crt
The hex-encoded SHA-256 fingerprint of this certificate is also output to the terminal. Any clients that connect to Elasticsearch, such as the Elasticsearch Clients, Beats, standalone Elastic Agents, and Logstash must validate that they trust the certificate that Elasticsearch uses for HTTPS. Fleet Server and Fleet-managed Elastic Agents are automatically configured to trust the CA certificate. Other clients can establish trust by using either the fingerprint of the CA certificate or the CA certificate itself.
If the auto-configuration process already completed, you can still obtain the fingerprint of the security certificate. You can also copy the CA certificate to your machine and configure your client to use it.
Use the CA fingerprint
editCopy the fingerprint value that’s output to your terminal when Elasticsearch starts, and configure your client to use this fingerprint to establish trust when it connects to Elasticsearch.
If the auto-configuration process already completed, you can still obtain the fingerprint of the security certificate by running the following command. The path is to the auto-generated CA certificate for the HTTP layer.
openssl x509 -fingerprint -sha256 -in config/certs/http_ca.crt
The command returns the security certificate, including the fingerprint.
The issuer
should be Elasticsearch security auto-configuration HTTP CA
.
issuer= /CN=Elasticsearch security auto-configuration HTTP CA SHA256 Fingerprint=<fingerprint>
Use the CA certificate
editIf your library doesn’t support a method of validating the fingerprint, the auto-generated CA certificate is created in the following directory on each Elasticsearch node:
%ES_HOME%\config\certs\http_ca.crt
Copy the http_ca.crt
file to your machine and configure your client to use this
certificate to establish trust when it connects to Elasticsearch.
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 |
|
|
conf |
Generated TLS keys and certificates for the transport and HTTP layer. |
|
|
data |
The location of the data files of each index / shard allocated on the node. |
|
|
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
- Run Elasticsearch from the command line
- Enroll nodes in an existing cluster
- Configure Elasticsearch on the command line
- Check that Elasticsearch is running
- Install and run Elasticsearch as a service on Windows
- Manage Elasticsearch as a service on Windows
- Customize service settings
- Connect clients to Elasticsearch
- Use the CA fingerprint
- Use the CA certificate
- Directory layout of
.zip
archive - Next steps
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