- 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
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- Conditional
- Decimal digit
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- Dictionary decompounder
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- Phonetic
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- Synonym
- Synonym graph
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- Word delimiter
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- Character filters reference
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- Index templates
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- Example: Parse logs
- Enrich your data
- Processor reference
- Append
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- Search your data
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- Search across clusters
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- Search templates
- Search with synonyms
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- Global
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- Missing
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- Terms
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- Subtleties of bucketing range fields
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- Average bucket
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- Geospatial analysis
- EQL
- SQL
- Overview
- Getting Started with SQL
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- Aggregate Functions
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- 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
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- 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
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- Delete component template
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- Exists
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- List dangling indices
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- 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
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- Estimate model memory
- Flush jobs
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- Get buckets
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- Get datafeed statistics
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- Get jobs
- Get job statistics
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- Get model snapshot upgrade statistics
- Get overall buckets
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- Machine learning data frame analytics APIs
- Create data frame analytics jobs
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- Machine learning trained model APIs
- Clear trained model deployment cache
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- Migration APIs
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- Security APIs
- Authenticate
- Change passwords
- Clear cache
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- Enable users
- Enroll Kibana
- Enroll node
- Get API key information
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- Get role mappings
- Get roles
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- Create Cross-Cluster API key
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- 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
Manage existing indices
editManage existing indices
editIf you’ve been using Curator or some other mechanism to manage periodic indices, you have a couple options when migrating to ILM:
- Set up your index templates to use an ILM policy to manage your new indices. Once ILM is managing your current write index, you can apply an appropriate policy to your old indices.
- Reindex into an ILM-managed index.
Starting in Curator version 5.7, Curator ignores ILM managed indices.
Apply policies to existing time series indices
editThe simplest way to transition to managing your periodic indices with ILM is to configure an index template to apply a lifecycle policy to new indices. Once the index you are writing to is being managed by ILM, you can manually apply a policy to your older indices.
Define a separate policy for your older indices that omits the rollover action. Rollover is used to manage where new data goes, so isn’t applicable.
Keep in mind that policies applied to existing indices compare the min_age
for each phase to
the original creation date of the index, and might proceed through multiple phases immediately.
If your policy performs resource-intensive operations like force merge,
you don’t want to have a lot of indices performing those operations all at once
when you switch over to ILM.
You can specify different min_age
values in the policy you use for existing indices,
or set index.lifecycle.origination_date
to control how the index age is calculated.
Once all pre-ILM indices have been aged out and removed, you can delete the policy you used to manage them.
If you are using Beats or Logstash, enabling ILM in version 7.0 and onward sets up ILM to manage new indices automatically. If you are using Beats through Logstash, you might need to change your Logstash output configuration and invoke the Beats setup to use ILM for new data.
Reindex into a managed index
editAn alternative to applying policies to existing indices is to reindex your data into an ILM-managed index. You might want to do this if creating periodic indices with very small amounts of data has led to excessive shard counts, or if continually indexing into the same index has led to large shards and performance issues.
First, you need to set up the new ILM-managed index:
- Update your index template to include the necessary ILM settings.
- Bootstrap an initial index as the write index.
- Stop writing to the old indices and index new documents using the alias that points to bootstrapped index.
To reindex into the managed index:
- Pause indexing new documents if you do not want to mix new and old data in the ILM-managed index. Mixing old and new data in one index is safe, but a combined index needs to be retained until you are ready to delete the new data.
-
Reduce the ILM poll interval to ensure that the index doesn’t grow too large while waiting for the rollover check. By default, ILM checks to see what actions need to be taken every 10 minutes.
response = client.cluster.put_settings( body: { persistent: { "indices.lifecycle.poll_interval": '1m' } } ) puts response
-
Reindex your data using the reindex API. If you want to partition the data in the order in which it was originally indexed, you can run separate reindex requests.
Documents retain their original IDs. If you don’t use automatically generated document IDs, and are reindexing from multiple source indices, you might need to do additional processing to ensure that document IDs don’t conflict. One way to do this is to use a script in the reindex call to append the original index name to the document ID.
response = client.reindex( body: { source: { index: 'mylogs-*' }, dest: { index: 'mylogs', op_type: 'create' } } ) puts response
POST _reindex { "source": { "index": "mylogs-*" }, "dest": { "index": "mylogs", "op_type": "create" } }
Matches your existing indices. Using the prefix for the new indices makes using this index pattern much easier.
The alias that points to your bootstrapped index.
Halts reindexing if multiple documents have the same ID. This is recommended to prevent accidentally overwriting documents if documents in different source indices have the same ID.
-
When reindexing is complete, set the ILM poll interval back to its default value to prevent unnecessary load on the master node:
response = client.cluster.put_settings( body: { persistent: { "indices.lifecycle.poll_interval": nil } } ) puts response
PUT _cluster/settings { "persistent": { "indices.lifecycle.poll_interval": null } }
-
Resume indexing new data using the same alias.
Querying using this alias will now search your new data and all of the reindexed data.
- Once you have verified that all of the reindexed data is available in the new managed indices, you can safely remove the old indices.