- Elasticsearch Guide: other versions:
- What is Elasticsearch?
- What’s new in 8.10
- Set up Elasticsearch
- Installing Elasticsearch
- Run Elasticsearch locally
- 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
- Field data cache settings
- Health Diagnostic settings
- Index lifecycle management settings
- Index management settings
- Index recovery settings
- Indexing buffer settings
- License settings
- Local gateway settings
- Logging
- Machine learning settings
- Monitoring settings
- Node
- Networking
- Node query cache settings
- Search settings
- Security settings
- Shard request cache settings
- Snapshot and restore settings
- Transforms settings
- Thread pools
- Watcher settings
- Advanced 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
- 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
- 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
- Join
- JSON
- KV
- Lowercase
- Network direction
- Pipeline
- Redact
- Registered domain
- Remove
- Rename
- Reroute
- Script
- Set
- Set security user
- Sort
- Split
- Trim
- Uppercase
- URL decode
- URI parts
- User agent
- Aliases
- Search your data
- Collapse search results
- Filter search results
- Highlighting
- Long-running searches
- Near real-time search
- Paginate search results
- Retrieve inner hits
- Retrieve selected fields
- Search across clusters
- Search multiple data streams and indices
- Search shard routing
- Search templates
- Search with synonyms
- Sort search results
- kNN search
- Semantic search
- Searching with query rules
- 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
- EQL
- 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
- 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
- How to
- 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
- Multiple deployments writing to the same snapshot repository
- Addressing repeated snapshot policy failures
- Troubleshooting an unstable cluster
- Troubleshooting discovery
- Troubleshooting monitoring
- Troubleshooting transforms
- Troubleshooting Watcher
- Troubleshooting searches
- Troubleshooting shards capacity health issues
- 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
- Data stream APIs
- Document APIs
- Enrich APIs
- EQL APIs
- Features APIs
- Fleet APIs
- Find structure API
- 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
- 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
- Ingest APIs
- Info API
- 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
- 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
- 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
- Get service accounts
- Get service account credentials
- 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
- Update API key
- 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
- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- Migration guide
- Release notes
- 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
Starting Elasticsearch
editStarting Elasticsearch
editThe method for starting Elasticsearch varies depending on how you installed it.
Archive packages (.tar.gz
)
editIf you installed Elasticsearch with a .tar.gz
package, you can start Elasticsearch from the
command line.
Run Elasticsearch from the command line
editRun the following command to start Elasticsearch from the command line:
./bin/elasticsearch
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:
export 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
.
All scripts packaged with Elasticsearch require a version of Bash
that supports arrays and assume that Bash is available at /bin/bash
.
As such, Bash should be available at this path either directly or via a
symbolic link.
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.
Run as a daemon
editTo run Elasticsearch as a daemon, specify -d
on the command line, and record
the process ID in a file using the -p
option:
./bin/elasticsearch -d -p pid
If you have password-protected the Elasticsearch keystore, you will be prompted to enter the keystore’s password. See Secure settings for more details.
Log messages can be found in the $ES_HOME/logs/
directory.
To shut down Elasticsearch, kill the process ID recorded in the pid
file:
pkill -F pid
Archive packages (.zip
)
editIf you installed Elasticsearch on Windows with a .zip
package, you can start Elasticsearch from
the command line. If you want Elasticsearch to start automatically at boot time without
any user interaction, install Elasticsearch as a service.
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.
Debian packages
editRunning Elasticsearch with systemd
editTo configure Elasticsearch to start automatically when the system boots up, run the following commands:
sudo /bin/systemctl daemon-reload sudo /bin/systemctl enable elasticsearch.service
Elasticsearch can be started and stopped as follows:
sudo systemctl start elasticsearch.service sudo systemctl stop elasticsearch.service
These commands provide no feedback as to whether Elasticsearch was started
successfully or not. Instead, this information will be written in the log
files located in /var/log/elasticsearch/
.
If you have password-protected your Elasticsearch keystore, you will need to provide
systemd
with the keystore password using a local file and systemd environment
variables. This local file should be protected while it exists and may be
safely deleted once Elasticsearch is up and running.
echo "keystore_password" > /path/to/my_pwd_file.tmp chmod 600 /path/to/my_pwd_file.tmp sudo systemctl set-environment ES_KEYSTORE_PASSPHRASE_FILE=/path/to/my_pwd_file.tmp sudo systemctl start elasticsearch.service
By default the Elasticsearch service doesn’t log information in the systemd
journal. To enable journalctl
logging, the --quiet
option must be removed
from the ExecStart
command line in the elasticsearch.service
file.
When systemd
logging is enabled, the logging information are available using
the journalctl
commands:
To tail the journal:
sudo journalctl -f
To list journal entries for the elasticsearch service:
sudo journalctl --unit elasticsearch
To list journal entries for the elasticsearch service starting from a given time:
sudo journalctl --unit elasticsearch --since "2016-10-30 18:17:16"
Check man journalctl
or https://www.freedesktop.org/software/systemd/man/journalctl.html for
more command line options.
Startup timeouts with older systemd
versions
By default Elasticsearch sets the TimeoutStartSec
parameter to systemd
to 900s
. If
you are running at least version 238 of systemd
then Elasticsearch can automatically
extend the startup timeout, and will do so repeatedly until startup is complete
even if it takes longer than 900s.
Versions of systemd
prior to 238 do not support the timeout extension
mechanism and will terminate the Elasticsearch process if it has not fully started up
within the configured timeout. If this happens, Elasticsearch will report in its logs
that it was shut down normally a short time after it started:
[2022-01-31T01:22:31,077][INFO ][o.e.n.Node ] [instance-0000000123] starting ... ... [2022-01-31T01:37:15,077][INFO ][o.e.n.Node ] [instance-0000000123] stopping ...
However the systemd
logs will report that the startup timed out:
Jan 31 01:22:30 debian systemd[1]: Starting Elasticsearch... Jan 31 01:37:15 debian systemd[1]: elasticsearch.service: Start operation timed out. Terminating. Jan 31 01:37:15 debian systemd[1]: elasticsearch.service: Main process exited, code=killed, status=15/TERM Jan 31 01:37:15 debian systemd[1]: elasticsearch.service: Failed with result 'timeout'. Jan 31 01:37:15 debian systemd[1]: Failed to start Elasticsearch.
To avoid this, upgrade your systemd
to at least version 238. You can also
temporarily work around the problem by extending the TimeoutStartSec
parameter.
Docker images
editIf you installed a Docker image, you can start Elasticsearch from the command line. There are different methods depending on whether you’re using development mode or production mode. See Run Elasticsearch in Docker.
RPM packages
editRunning Elasticsearch with systemd
editTo configure Elasticsearch to start automatically when the system boots up, run the following commands:
sudo /bin/systemctl daemon-reload sudo /bin/systemctl enable elasticsearch.service
Elasticsearch can be started and stopped as follows:
sudo systemctl start elasticsearch.service sudo systemctl stop elasticsearch.service
These commands provide no feedback as to whether Elasticsearch was started
successfully or not. Instead, this information will be written in the log
files located in /var/log/elasticsearch/
.
If you have password-protected your Elasticsearch keystore, you will need to provide
systemd
with the keystore password using a local file and systemd environment
variables. This local file should be protected while it exists and may be
safely deleted once Elasticsearch is up and running.
echo "keystore_password" > /path/to/my_pwd_file.tmp chmod 600 /path/to/my_pwd_file.tmp sudo systemctl set-environment ES_KEYSTORE_PASSPHRASE_FILE=/path/to/my_pwd_file.tmp sudo systemctl start elasticsearch.service
By default the Elasticsearch service doesn’t log information in the systemd
journal. To enable journalctl
logging, the --quiet
option must be removed
from the ExecStart
command line in the elasticsearch.service
file.
When systemd
logging is enabled, the logging information are available using
the journalctl
commands:
To tail the journal:
sudo journalctl -f
To list journal entries for the elasticsearch service:
sudo journalctl --unit elasticsearch
To list journal entries for the elasticsearch service starting from a given time:
sudo journalctl --unit elasticsearch --since "2016-10-30 18:17:16"
Check man journalctl
or https://www.freedesktop.org/software/systemd/man/journalctl.html for
more command line options.
Startup timeouts with older systemd
versions
By default Elasticsearch sets the TimeoutStartSec
parameter to systemd
to 900s
. If
you are running at least version 238 of systemd
then Elasticsearch can automatically
extend the startup timeout, and will do so repeatedly until startup is complete
even if it takes longer than 900s.
Versions of systemd
prior to 238 do not support the timeout extension
mechanism and will terminate the Elasticsearch process if it has not fully started up
within the configured timeout. If this happens, Elasticsearch will report in its logs
that it was shut down normally a short time after it started:
[2022-01-31T01:22:31,077][INFO ][o.e.n.Node ] [instance-0000000123] starting ... ... [2022-01-31T01:37:15,077][INFO ][o.e.n.Node ] [instance-0000000123] stopping ...
However the systemd
logs will report that the startup timed out:
Jan 31 01:22:30 debian systemd[1]: Starting Elasticsearch... Jan 31 01:37:15 debian systemd[1]: elasticsearch.service: Start operation timed out. Terminating. Jan 31 01:37:15 debian systemd[1]: elasticsearch.service: Main process exited, code=killed, status=15/TERM Jan 31 01:37:15 debian systemd[1]: elasticsearch.service: Failed with result 'timeout'. Jan 31 01:37:15 debian systemd[1]: Failed to start Elasticsearch.
To avoid this, upgrade your systemd
to at least version 238. You can also
temporarily work around the problem by extending the TimeoutStartSec
parameter.
On this page
- Archive packages (
.tar.gz
) - Run Elasticsearch from the command line
- Enroll nodes in an existing cluster
- Run as a daemon
- Archive packages (
.zip
) - Run Elasticsearch from the command line
- Enroll nodes in an existing cluster
- Debian packages
- Running Elasticsearch with
systemd
- Docker images
- RPM packages
- Running Elasticsearch with
systemd