- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch 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
- G1GC check
- All permission check
- Discovery configuration check
- Starting Elasticsearch
- Stopping Elasticsearch
- Adding nodes to your cluster
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- API conventions
- Document APIs
- Search APIs
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Weighted Avg Aggregation
- Cardinality Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
- Geo Centroid Aggregation
- Max Aggregation
- Min Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- Stats Aggregation
- Sum Aggregation
- Top Hits Aggregation
- Value Count Aggregation
- Median Absolute Deviation Aggregation
- Bucket Aggregations
- Adjacency Matrix Aggregation
- Auto-interval Date Histogram Aggregation
- Children Aggregation
- Composite Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
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- Global Aggregation
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- IP Range Aggregation
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- Significant Text Aggregation
- Terms Aggregation
- Pipeline Aggregations
- Avg Bucket Aggregation
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- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Moving Function Aggregation
- Cumulative Sum Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Metrics Aggregations
- Indices APIs
- Create Index
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- Open / Close Index API
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- Put Mapping
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- cat APIs
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- Anatomy of an analyzer
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- Path Hierarchy Tokenizer Examples
- Token Filters
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- Parsing synonym files
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- Exclude mode settings example
- Classic Token Filter
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- Remove Duplicates Token Filter
- Character Filters
- Modules
- Index modules
- Ingest node
- Pipeline Definition
- Ingest APIs
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
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- Set Security User Processor
- Split Processor
- Sort Processor
- Trim Processor
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- URL Decode Processor
- User Agent processor
- Managing the index lifecycle
- Getting started with index lifecycle management
- Policy phases and actions
- Set up index lifecycle management policy
- Using policies to manage index rollover
- Update policy
- Index lifecycle error handling
- Restoring snapshots of managed indices
- Start and stop index lifecycle management
- Using ILM with existing indices
- SQL access
- Overview
- Getting Started with SQL
- Conventions and Terminology
- Security
- SQL REST API
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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
- Monitor a cluster
- Frozen indices
- Set up a cluster for high availability
- Roll up or transform your data
- X-Pack APIs
- Info API
- Cross-cluster replication APIs
- Explore API
- Freeze index
- Index lifecycle management API
- Licensing APIs
- Machine learning APIs
- Add events to calendar
- Add jobs to calendar
- Close jobs
- Create jobs
- Create calendar
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- Create filter
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- Find file structure
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- Set upgrade mode
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- Update datafeeds
- Update filter
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- Update model snapshots
- Migration APIs
- Rollup APIs
- Security APIs
- Authenticate
- Change passwords
- Clear cache
- Clear roles cache
- Create API keys
- Create or update application privileges
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- Create or update users
- Delete application privileges
- Delete role mappings
- Delete roles
- Delete users
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- Enable users
- Get API key information
- Get application privileges
- Get role mappings
- Get roles
- Get token
- Get users
- Has privileges
- Invalidate API key
- Invalidate token
- OpenID Connect Prepare Authentication API
- OpenID Connect Authenticate API
- OpenID Connect Logout API
- SSL certificate
- Transform APIs
- Unfreeze index
- Watcher APIs
- Definitions
- Secure a cluster
- Overview
- Configuring security
- Encrypting communications in Elasticsearch
- Encrypting communications in an Elasticsearch Docker Container
- Enabling cipher suites for stronger encryption
- Separating node-to-node and client traffic
- Configuring an Active Directory realm
- Configuring a file realm
- Configuring an LDAP realm
- Configuring a native realm
- Configuring a PKI realm
- Configuring a SAML realm
- Configuring a Kerberos realm
- Security files
- FIPS 140-2
- How security works
- 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
- Auditing security events
- 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
- Failures due to relocation of the configuration files
- Limitations
- Alerting on cluster and index events
- Command line tools
- How To
- Testing
- Glossary of terms
- Release highlights
- Breaking changes
- Release notes
- 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
Watching the status of an Elasticsearch cluster
editWatching the status of an Elasticsearch cluster
editYou can easily configure a basic watch to monitor the health of your Elasticsearch cluster:
- Schedule the watch and define an input that gets the cluster health status.
- Add a condition that evaluates the health status to determine if action is required.
- Take action if the cluster is RED.
Schedule the watch and add an input
editA watch schedule controls how often a watch is triggered. The watch input gets the data that you want to evaluate.
The simplest way to define a schedule is to specify an interval. For example, the following schedule runs every 10 seconds:
Schedules are typically configured to run less frequently. This example sets the interval to 10 seconds to you can easily see the watches being triggered. Since this watch runs so frequently, don’t forget to delete the watch when you’re done experimenting. |
To get the status of your cluster, you can call the Elasticsearch cluster health API:
GET _cluster/health?pretty
To load the health status into your watch, you simply add an HTTP input that calls the cluster health API:
PUT _watcher/watch/cluster_health_watch { "trigger" : { "schedule" : { "interval" : "10s" } }, "input" : { "http" : { "request" : { "host" : "localhost", "port" : 9200, "path" : "/_cluster/health" } } } }
If you’re using Security, then you’ll also need to supply some authentication credentials as part of the watch configuration:
PUT _watcher/watch/cluster_health_watch { "trigger" : { "schedule" : { "interval" : "10s" } }, "input" : { "http" : { "request" : { "host" : "localhost", "port" : 9200, "path" : "/_cluster/health", "auth": { "basic": { "username": "elastic", "password": "x-pack-test-password" } } } } } }
It would be a good idea to create a user with the minimum privileges required for use with such a watch configuration.
Depending on how your cluster is configured, there may be additional settings required before the watch can access your cluster such as keystores, truststores, or certificates. For more information, see Watcher settings.
If you check the watch history, you’ll see that the cluster status is recorded
as part of the watch_record
each time the watch executes.
For example, the following request retrieves the last ten watch records from the watch history:
GET .watcher-history*/_search { "sort" : [ { "result.execution_time" : "desc" } ] }
Add a condition
editA condition evaluates the data you’ve loaded into the watch and determines if any action is required. Since you’ve defined an input that loads the cluster status into the watch, you can define a condition that checks that status.
For example, you could add a condition to check to see if the status is RED.
PUT _watcher/watch/cluster_health_watch { "trigger" : { "schedule" : { "interval" : "10s" } }, "input" : { "http" : { "request" : { "host" : "localhost", "port" : 9200, "path" : "/_cluster/health" } } }, "condition" : { "compare" : { "ctx.payload.status" : { "eq" : "red" } } } }
Schedules are typically configured to run less frequently. This example sets the interval to 10 seconds to you can easily see the watches being triggered. |
If you check the watch history, you’ll see that the condition result is recorded
as part of the watch_record
each time the watch executes.
To check to see if the condition was met, you can run the following query.
GET .watcher-history*/_search?pretty { "query" : { "match" : { "result.condition.met" : true } } }
Take action
editRecording watch_records
in the watch history is nice, but the real power of
Watcher is being able to do something in response to an alert. A watch’s
actions define what to do when the watch condition is true—you
can send emails, call third-party webhooks, or write documents to an
Elasticsearch index or log when the watch condition is met.
For example, you could add an action to index the cluster status information when the status is RED.
PUT _watcher/watch/cluster_health_watch { "trigger" : { "schedule" : { "interval" : "10s" } }, "input" : { "http" : { "request" : { "host" : "localhost", "port" : 9200, "path" : "/_cluster/health" } } }, "condition" : { "compare" : { "ctx.payload.status" : { "eq" : "red" } } }, "actions" : { "send_email" : { "email" : { "to" : "username@example.org", "subject" : "Cluster Status Warning", "body" : "Cluster status is RED" } } } }
For Watcher to send email, you must configure an email account in your
elasticsearch.yml
configuration file and restart Elasticsearch. To add an email
account, set the xpack.notification.email.account
property.
For example, the following snippet configures a single Gmail account named work
:
xpack.notification.email.account: work: profile: gmail email_defaults: from: <email> smtp: auth: true starttls.enable: true host: smtp.gmail.com port: 587 user: <username> password: <password>
Replace |
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Replace |
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Replace |
If you have advanced security options enabled for your email account, you need to take additional steps to send email from Watcher. For more information, see Configuring email accounts.
You can check the watch history or the status_index
to see that the action was
performed.
GET .watcher-history*/_search?pretty { "query" : { "match" : { "result.condition.met" : true } } }
Delete the watch
editSince the cluster_health_watch
is configured to run every 10 seconds, make
sure you delete it when you’re done experimenting. Otherwise, you’ll spam yourself
indefinitely.
To remove the watch, use the delete watch API:
DELETE _watcher/watch/cluster_health_watch