- Elasticsearch Guide: other versions:
- What is Elasticsearch?
- What’s new in 7.7
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Setting JVM options
- Secure settings
- Auditing settings
- Circuit breaker settings
- Cluster-level shard allocation and routing settings
- Cross-cluster replication settings
- Discovery and cluster formation settings
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- License settings
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- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
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- Bootstrap Checks for X-Pack
- Starting Elasticsearch
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- Set up X-Pack
- Configuring X-Pack Java Clients
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- Query DSL
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- Overview
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- Aggregations
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- Avg Aggregation
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- Subtleties of bucketing range fields
- Pipeline Aggregations
- Bucket Script Aggregation
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- Returning the type of the aggregation
- Indexing aggregation results with transforms
- Metrics Aggregations
- Scripting
- Mapping
- Text analysis
- Overview
- Concepts
- Configure text analysis
- Built-in analyzer reference
- Tokenizer reference
- Char Group Tokenizer
- Classic Tokenizer
- Edge n-gram tokenizer
- Keyword Tokenizer
- Letter Tokenizer
- Lowercase Tokenizer
- N-gram tokenizer
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- Path Hierarchy Tokenizer Examples
- Pattern Tokenizer
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- Token filter reference
- Apostrophe
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- Synonym graph
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- Character filters reference
- Normalizers
- Index modules
- Ingest node
- Pipeline Definition
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
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- Enrich your data
- Processors
- Append Processor
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- ILM: Manage the index lifecycle
- Monitor a cluster
- Frozen indices
- Roll up or transform your data
- Set up a cluster for high availability
- Snapshot and restore
- Secure a cluster
- Overview
- Configuring security
- User authentication
- Built-in users
- Internal users
- Token-based authentication services
- Realms
- Realm chains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- OpenID Connect authentication
- PKI user authentication
- SAML authentication
- Kerberos authentication
- Integrating with other authentication systems
- Enabling anonymous access
- Controlling the user cache
- Configuring SAML single-sign-on on the Elastic Stack
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
- Built-in roles
- Defining roles
- Security privileges
- Document level security
- Field level security
- Granting privileges for indices 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
- Enabling audit logging
- Encrypting communications
- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
- Common SSL/TLS exceptions
- Common Kerberos exceptions
- Common SAML issues
- Internal Server Error in Kibana
- Setup-passwords command fails due to connection failure
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- Limitations
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- How To
- Glossary of terms
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- cat APIs
- cat aliases
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- Cluster APIs
- Cluster allocation explain
- Cluster get settings
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- Machine learning data frame analytics APIs
- Create data frame analytics jobs
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- Evaluate data frame analytics
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- Get inference trained model stats
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- OpenID Connect Prepare Authentication API
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- Snapshot and restore APIs
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- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- Breaking changes
- Release notes
- Elasticsearch version 7.7.1
- Elasticsearch version 7.7.0
- Elasticsearch version 7.6.2
- Elasticsearch version 7.6.1
- Elasticsearch version 7.6.0
- Elasticsearch version 7.5.2
- Elasticsearch version 7.5.1
- Elasticsearch version 7.5.0
- Elasticsearch version 7.4.2
- Elasticsearch version 7.4.1
- Elasticsearch version 7.4.0
- Elasticsearch version 7.3.2
- Elasticsearch version 7.3.1
- Elasticsearch version 7.3.0
- Elasticsearch version 7.2.1
- Elasticsearch version 7.2.0
- Elasticsearch version 7.1.1
- Elasticsearch version 7.1.0
- Elasticsearch version 7.0.0
- Elasticsearch version 7.0.0-rc2
- Elasticsearch version 7.0.0-rc1
- Elasticsearch version 7.0.0-beta1
- Elasticsearch version 7.0.0-alpha2
- Elasticsearch version 7.0.0-alpha1
Actions
editActions
editWhen a watch’s condition is met, its actions are executed unless it is being throttled. A watch can perform multiple actions. The actions are executed one at a time and each action executes independently. Any failures encountered while executing an action are recorded in the action result and in the watch history.
If no actions are defined for a watch, no actions are executed.
However, a watch_record
is still written to the watch history.
Actions have access to the payload in the execution context. They can use it to support their execution in any way they need. For example, the payload might serve as a model for a templated email body.
Watcher supports the following types of actions:
email
, webhook
, index
,
logging
, slack
,
and pagerduty
.
Acknowledgement and throttling
editDuring the watch execution, once the condition is met, a decision is made per configured action as to whether it should be throttled. The main purpose of action throttling is to prevent too many executions of the same action for the same watch.
For example, suppose you have a watch that detects errors in an application’s log entries. The watch is triggered every five minutes and searches for errors during the last hour. In this case, if there are errors, there is a period of time where the watch is checked and its actions are executed multiple times based on the same errors. As a result, the system administrator receives multiple notifications about the same issue, which can be annoying.
To address this issue, Watcher supports time-based throttling. You can define
a throttling period as part of the action configuration to limit how often the
action is executed. When you set a throttling period, Watcher prevents repeated
execution of the action if it has already executed within the throttling period
time frame (now - throttling period
).
The following snippet shows a watch for the scenario described above - associating
a throttle period with the email_administrator
action:
PUT _watcher/watch/error_logs_alert { "metadata" : { "color" : "red" }, "trigger" : { "schedule" : { "interval" : "5m" } }, "input" : { "search" : { "request" : { "indices" : "log-events", "body" : { "size" : 0, "query" : { "match" : { "status" : "error" } } } } } }, "condition" : { "compare" : { "ctx.payload.hits.total" : { "gt" : 5 }} }, "actions" : { "email_administrator" : { "throttle_period": "15m", "email" : { "to" : "sys.admino@host.domain", "subject" : "Encountered {{ctx.payload.hits.total}} errors", "body" : "Too many error in the system, see attached data", "attachments" : { "attached_data" : { "data" : { "format" : "json" } } }, "priority" : "high" } } } }
There will be at least 15 minutes between subsequent |
|
See Email action for more information. |
You can also define a throttle period at the watch level. The watch-level throttle period serves as the default throttle period for all of the actions defined in the watch:
PUT _watcher/watch/log_event_watch { "trigger" : { "schedule" : { "interval" : "5m" } }, "input" : { "search" : { "request" : { "indices" : "log-events", "body" : { "size" : 0, "query" : { "match" : { "status" : "error" } } } } } }, "condition" : { "compare" : { "ctx.payload.hits.total" : { "gt" : 5 }} }, "throttle_period" : "15m", "actions" : { "email_administrator" : { "email" : { "to" : "sys.admino@host.domain", "subject" : "Encountered {{ctx.payload.hits.total}} errors", "body" : "Too many error in the system, see attached data", "attachments" : { "attached_data" : { "data" : { "format" : "json" } } }, "priority" : "high" } }, "notify_pager" : { "webhook" : { "method" : "POST", "host" : "pager.service.domain", "port" : 1234, "path" : "/{{watch_id}}", "body" : "Encountered {{ctx.payload.hits.total}} errors" } } } }
There will be at least 15 minutes between subsequent action executions
(applies to both |
If you do not define a throttle period at the action or watch level, the global
default throttle period is applied. Initially, this is set to 5 seconds. To
change the global default, configure the xpack.watcher.execution.default_throttle_period
setting in elasticsearch.yml
:
xpack.watcher.execution.default_throttle_period: 15m
Watcher also supports acknowledgement-based throttling. You can acknowledge a
watch using the ack watch API to prevent the
watch actions from being executed again while the watch condition remains true
.
This essentially tells Watcher "I received the notification and I’m handling
it, please do not notify me about this error again". An acknowledged watch action
remains in the acked
state until the watch’s condition evaluates to false
.
When that happens, the action’s state changes to awaits_successful_execution
.
To acknowledge an action, you use the ack watch API:
POST _watcher/watch/<id>/_ack/<action_ids>
Where <id>
is the id of the watch and <action_ids>
is a comma-separated list
of the action ids you want to acknowledge. To acknowledge all actions, omit the
actions
parameter.
The following diagram illustrates the throttling decisions made for each action of a watch during its execution:

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