- Elasticsearch Guide: other versions:
- What is Elasticsearch?
- What’s new in 8.14
- Quickstart
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
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- Overview
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- Processor reference
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- EQL
- ES|QL
- SQL
- Overview
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- 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
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- 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
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- Internal users
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- 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
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- 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
- 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
- REST APIs
- API conventions
- Common options
- REST API compatibility
- Autoscaling APIs
- Behavioral Analytics APIs
- Compact and aligned text (CAT) APIs
- cat aliases
- cat allocation
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- cat count
- cat data frame analytics
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- Cluster APIs
- Cluster allocation explain
- Cluster get settings
- Cluster health
- Health
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- Definitions
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- Release notes
- 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
Data enrichment
editData enrichment
editThe ES|QL ENRICH
processing command combines, at query-time, data from
one or more source indexes with field-value combinations found in Elasticsearch enrich
indexes.
For example, you can use ENRICH
to:
- Identify web services or vendors based on known IP addresses
- Add product information to retail orders based on product IDs
- Supplement contact information based on an email address
How the ENRICH
command works
editThe ENRICH
command adds new columns to a table, with data from Elasticsearch indices.
It requires a few special components:
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- Enrich policy
-
A set of configuration options used to add the right enrich data to the input table.
An enrich policy contains:
- A list of one or more source indices which store enrich data as documents
- The policy type which determines how the processor matches the enrich data to incoming documents
- A match field from the source indices used to match incoming documents
- Enrich fields containing enrich data from the source indices you want to add to incoming documents
After creating a policy, it must be executed before it can be used. Executing an enrich policy uses data from the policy’s source indices to create a streamlined system index called the enrich index. The
ENRICH
command uses this index to match and enrich an input table.
- Source index
-
An index which stores enrich data that the
ENRICH
command can add to input tables. You can create and manage these indices just like a regular Elasticsearch index. You can use multiple source indices in an enrich policy. You also can use the same source index in multiple enrich policies.
- Enrich index
-
A special system index tied to a specific enrich policy.
Directly matching rows from input tables to documents in source indices could be slow and resource intensive. To speed things up, the
ENRICH
command uses an enrich index.Enrich indices contain enrich data from source indices but have a few special properties to help streamline them:
-
They are system indices, meaning they’re managed internally by Elasticsearch and only
intended for use with enrich processors and the ES|QL
ENRICH
command. -
They always begin with
.enrich-*
. - They are read-only, meaning you can’t directly change them.
- They are force merged for fast retrieval.
-
They are system indices, meaning they’re managed internally by Elasticsearch and only
intended for use with enrich processors and the ES|QL
Set up an enrich policy
editTo start using ENRICH
, follow these steps:
Once you have enrich policies set up, you can update your enrich data and update your enrich policies.
The ENRICH
command performs several operations and may impact the speed of
your query.
Prerequisites
editTo use enrich policies, you must have:
-
read
index privileges for any indices used -
The
enrich_user
built-in role
Add enrich data
editTo begin, add documents to one or more source indices. These documents should contain the enrich data you eventually want to add to incoming data.
You can manage source indices just like regular Elasticsearch indices using the document and index APIs.
You also can set up Beats, such as a Filebeat, to automatically send and index documents to your source indices. See Getting started with Beats.
Create an enrich policy
editAfter adding enrich data to your source indices, use the create enrich policy API or Index Management in Kibana to create an enrich policy.
Once created, you can’t update or change an enrich policy. See Update an enrich policy.
Execute the enrich policy
editOnce the enrich policy is created, you need to execute it using the execute enrich policy API or Index Management in Kibana to create an enrich index.
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The enrich index contains documents from the policy’s source indices.
Enrich indices always begin with .enrich-*
,
are read-only,
and are force merged.
Enrich indices should only be used by the enrich processor
or the ES|QL ENRICH
command. Avoid using enrich indices for
other purposes.
Use the enrich policy
editAfter the policy has been executed, you can use the ENRICH
command to enrich your data.
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The following example uses the languages_policy
enrich policy to add a new
column for each enrich field defined in the policy. The match is performed using
the match_field
defined in the enrich policy and
requires that the input table has a column with the same name (language_code
in this example). ENRICH
will look for records in the
enrich index based on the match field value.
ROW language_code = "1" | ENRICH languages_policy
language_code:keyword | language_name:keyword |
---|---|
1 |
English |
To use a column with a different name than the match_field
defined in the
policy as the match field, use ON <column-name>
:
ROW a = "1" | ENRICH languages_policy ON a
a:keyword | language_name:keyword |
---|---|
1 |
English |
By default, each of the enrich fields defined in the policy is added as a
column. To explicitly select the enrich fields that are added, use
WITH <field1>, <field2>, ...
:
ROW a = "1" | ENRICH languages_policy ON a WITH language_name
a:keyword | language_name:keyword |
---|---|
1 |
English |
You can rename the columns that are added using WITH new_name=<field1>
:
ROW a = "1" | ENRICH languages_policy ON a WITH name = language_name
a:keyword | name:keyword |
---|---|
1 |
English |
In case of name collisions, the newly created columns will override existing columns.
Update an enrich index
editOnce created, you cannot update or index documents to an enrich index. Instead, update your source indices and execute the enrich policy again. This creates a new enrich index from your updated source indices. The previous enrich index will deleted with a delayed maintenance job. By default this is done every 15 minutes.
Update an enrich policy
editOnce created, you can’t update or change an enrich policy. Instead, you can:
- Create and execute a new enrich policy.
- Replace the previous enrich policy with the new enrich policy in any in-use enrich processors or ES|QL queries.
- Use the delete enrich policy API or Index Management in Kibana to delete the previous enrich policy.
Limitations
editThe ES|QL ENRICH
command only supports enrich policies of type match
.
Furthermore, ENRICH
only supports enriching on a column of type keyword
.
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