- Elasticsearch Guide: other versions:
- What’s new in 8.17
- Elasticsearch basics
- Quick starts
- Set up Elasticsearch
- Run Elasticsearch locally
- Installing Elasticsearch
- 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
- Data stream lifecycle settings
- Field data cache settings
- Local gateway settings
- Health Diagnostic settings
- Index lifecycle management settings
- Index management settings
- Index recovery settings
- Indexing buffer settings
- Inference settings
- License settings
- Machine learning settings
- Monitoring settings
- Node settings
- Networking
- Node query cache settings
- Path settings
- Search settings
- Security settings
- Shard request cache settings
- Snapshot and restore settings
- Transforms settings
- Thread pools
- Watcher settings
- Set JVM options
- 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
- Dynamic mapping
- Explicit mapping
- Runtime fields
- Field data types
- Aggregate metric
- Alias
- Arrays
- Binary
- Boolean
- Completion
- Date
- Date nanoseconds
- Dense vector
- Flattened
- Geopoint
- Geoshape
- Histogram
- IP
- Join
- Keyword
- Nested
- Numeric
- Object
- Pass-through object
- Percolator
- Point
- Range
- Rank feature
- Rank features
- Rank Vectors
- Search-as-you-type
- Semantic text
- Shape
- Sparse vector
- Text
- Token count
- Unsigned long
- Version
- Metadata fields
- Mapping parameters
analyzer
coerce
copy_to
doc_values
dynamic
eager_global_ordinals
enabled
format
ignore_above
index.mapping.ignore_above
ignore_malformed
index
index_options
index_phrases
index_prefixes
meta
fields
normalizer
norms
null_value
position_increment_gap
properties
search_analyzer
similarity
store
subobjects
term_vector
- Mapping limit settings
- Removal of mapping types
- 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
- IP Location
- Join
- JSON
- KV
- Lowercase
- Network direction
- Pipeline
- Redact
- Registered domain
- Remove
- Rename
- Reroute
- Script
- Set
- Set security user
- Sort
- Split
- Terminate
- Trim
- Uppercase
- URL decode
- URI parts
- User agent
- Ingest pipelines in Search
- Aliases
- Search your data
- The search API
- Sort search results
- Paginate search results
- Retrieve selected fields
- Search multiple data streams and indices using a query
- Collapse search results
- Filter search results
- Highlighting
- Long-running searches
- Near real-time search
- Retrieve inner hits
- Search shard routing
- Searching with query rules
- Search templates
- Full-text search
- Search relevance optimizations
- Retrievers
- kNN search
- Semantic search
- Retrieval augmented generation
- Search across clusters
- Search with synonyms
- Search Applications
- Search analytics
- The search API
- Re-ranking
- 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
- Connectors
- EQL
- ES|QL
- 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
- Cross-cluster replication
- Data store architecture
- 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
- Connector APIs
- Create connector
- Delete connector
- Get connector
- List connectors
- Update connector API key id
- Update connector configuration
- Update connector index name
- Update connector features
- Update connector filtering
- Update connector name and description
- Update connector pipeline
- Update connector scheduling
- Update connector service type
- Create connector sync job
- Cancel connector sync job
- Delete connector sync job
- Get connector sync job
- List connector sync jobs
- Check in a connector
- Update connector error
- Update connector last sync stats
- Update connector status
- Check in connector sync job
- Claim connector sync job
- Set connector sync job error
- Set connector sync job stats
- Data stream APIs
- Document APIs
- Enrich APIs
- EQL APIs
- ES|QL APIs
- Features APIs
- Fleet APIs
- 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
- Resolve cluster
- Advantages of using this endpoint before a cross-cluster search
- 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
- Inference APIs
- Delete inference API
- Get inference API
- Perform inference API
- Chat completion inference API
- Create inference API
- Stream inference API
- Update inference API
- AlibabaCloud AI Search inference integration
- Amazon Bedrock inference integration
- Anthropic inference integration
- Azure AI studio inference integration
- Azure OpenAI inference integration
- Cohere inference integration
- Elasticsearch inference integration
- ELSER inference integration
- Google AI Studio inference integration
- Google Vertex AI inference integration
- HuggingFace inference integration
- JinaAI inference integration
- Mistral inference integration
- OpenAI inference integration
- VoyageAI inference integration
- Watsonx inference integration
- Info API
- Ingest APIs
- 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
- Root API
- 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
- Bulk create or update roles API
- Bulk delete roles API
- 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
- Query Role
- Get service accounts
- Get service account credentials
- Get Security settings
- 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
- Query User
- Update API key
- Update Security settings
- 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
- Text structure APIs
- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- 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
- Optimizations
- 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
- Configuring source mode in mappings is deprecated and replaced by an index setting
- 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
- Migration guide
- Release notes
- Elasticsearch version 8.19.0
- Elasticsearch version 8.18.0
- Elasticsearch version 8.17.2
- Elasticsearch version 8.17.1
- Elasticsearch version 8.17.0
- Elasticsearch version 8.16.4
- Elasticsearch version 8.16.3
- Elasticsearch version 8.16.2
- Elasticsearch version 8.16.1
- Elasticsearch version 8.16.0
- Elasticsearch version 8.15.5
- Elasticsearch version 8.15.4
- Elasticsearch version 8.15.3
- Elasticsearch version 8.15.2
- Elasticsearch version 8.15.1
- Elasticsearch version 8.15.0
- 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
Slow log
editSlow log
editThe slow log records database searching and indexing events that have execution durations above specified thresholds. You can use these logs to investigate analyze or troubleshoot your cluster’s historical search and indexing performance.
Slow logs report task duration at the shard level for searches, and at the index level for indexing, but might not encompass the full task execution time observed on the client. For example, slow logs don’t surface HTTP network delays or the impact of task queues.
Events that meet the specified threshold are emitted into Elasticsearch logging under the fileset.name
of slowlog
. These logs can be viewed in the following locations:
-
If Elasticsearch monitoring is enabled, from
Stack Monitoring. Slow log events have a
logger
value ofindex.search.slowlog
orindex.indexing.slowlog
. -
From local Elasticsearch service logs directory. Slow log files have a suffix of
_index_search_slowlog.json
or_index_indexing_slowlog.json
.
Slow log format
editThe following is an example of a search event in the slow log:
If a call was initiated with an X-Opaque-ID
header, then the ID is automatically included in Search slow logs in the elasticsearch.slowlog.id field. See X-Opaque-Id HTTP header for details and best practices.
{ "@timestamp": "2024-12-21T12:42:37.255Z", "auth.type": "REALM", "ecs.version": "1.2.0", "elasticsearch.cluster.name": "distribution_run", "elasticsearch.cluster.uuid": "Ui23kfF1SHKJwu_hI1iPPQ", "elasticsearch.node.id": "JK-jn-XpQ3OsDUsq5ZtfGg", "elasticsearch.node.name": "node-0", "elasticsearch.slowlog.id": "tomcat-123", "elasticsearch.slowlog.message": "[index6][0]", "elasticsearch.slowlog.search_type": "QUERY_THEN_FETCH", "elasticsearch.slowlog.source": "{\"query\":{\"match_all\":{\"boost\":1.0}}}", "elasticsearch.slowlog.stats": "[]", "elasticsearch.slowlog.took": "747.3micros", "elasticsearch.slowlog.took_millis": 0, "elasticsearch.slowlog.total_hits": "1 hits", "elasticsearch.slowlog.total_shards": 1, "event.dataset": "elasticsearch.index_search_slowlog", "fileset.name" : "slowlog", "log.level": "WARN", "log.logger": "index.search.slowlog.query", "process.thread.name": "elasticsearch[runTask-0][search][T#5]", "service.name": "ES_ECS", "user.name": "elastic", "user.realm": "reserved" }
The following is an example of an indexing event in the slow log:
{ "@timestamp" : "2024-12-11T22:34:22.613Z", "auth.type": "REALM", "ecs.version": "1.2.0", "elasticsearch.cluster.name" : "41bd111609d849fc9bf9d25b5df9ce96", "elasticsearch.cluster.uuid" : "BZTn4I9URXSK26imlia0QA", "elasticsearch.index.id" : "3VfGR7wRRRKmMCEn7Ii58g", "elasticsearch.index.name": "my-index-000001", "elasticsearch.node.id" : "GGiBgg21S3eqPDHzQiCMvQ", "elasticsearch.node.name" : "instance-0000000001", "elasticsearch.slowlog.id" : "RCHbt5MBT0oSsCOu54AJ", "elasticsearch.slowlog.source": "{\"key\":\"value\"}" "elasticsearch.slowlog.took" : "0.01ms", "event.dataset": "elasticsearch.index_indexing_slowlog", "fileset.name" : "slowlog", "log.level" : "TRACE", "log.logger" : "index.indexing.slowlog.index", "service.name" : "ES_ECS", "user.name": "elastic", "user.realm": "reserved" }
Enable slow logging
editYou can enable slow logging at two levels:
-
For all indices under the Elasticsearch
log4j2.properties
configuration file. This method requires a node restart. - At the index level, using the update indices settings API
By default, all thresholds are set to -1
, which results in no events being logged.
Slow log thresholds can be enabled for the four logging levels: trace
, debug
, info
, and warn
. You can mimic setting log level thresholds by disabling more verbose levels.
To view the current slow log settings, use the get index settings API:
resp = client.indices.get_settings( index="_all", expand_wildcards="all", filter_path="*.settings.index.*.slowlog", ) print(resp)
const response = await client.indices.getSettings({ index: "_all", expand_wildcards: "all", filter_path: "*.settings.index.*.slowlog", }); console.log(response);
GET _all/_settings?expand_wildcards=all&filter_path=*.settings.index.*.slowlog
Enable slow logging for search events
editSearch slow logs emit per shard. They must be enabled separately for the shard’s query and fetch search phases.
You can use the index.search.slowlog.include.user
setting to append user.*
and auth.type
fields to slow log entries. These fields contain information about the user who triggered the request.
The following snippet adjusts all available search slow log settings across all indices using the
log4j2.properties
configuration file:
index.search.slowlog.threshold.query.warn: 10s index.search.slowlog.threshold.query.info: 5s index.search.slowlog.threshold.query.debug: 2s index.search.slowlog.threshold.query.trace: 500ms index.search.slowlog.threshold.fetch.warn: 1s index.search.slowlog.threshold.fetch.info: 800ms index.search.slowlog.threshold.fetch.debug: 500ms index.search.slowlog.threshold.fetch.trace: 200ms index.search.slowlog.include.user: true
The following snippet adjusts the same settings for a single index using the update indices settings API:
resp = client.indices.put_settings( index="my-index-000001", settings={ "index.search.slowlog.threshold.query.warn": "10s", "index.search.slowlog.threshold.query.info": "5s", "index.search.slowlog.threshold.query.debug": "2s", "index.search.slowlog.threshold.query.trace": "500ms", "index.search.slowlog.threshold.fetch.warn": "1s", "index.search.slowlog.threshold.fetch.info": "800ms", "index.search.slowlog.threshold.fetch.debug": "500ms", "index.search.slowlog.threshold.fetch.trace": "200ms", "index.search.slowlog.include.user": True }, ) print(resp)
const response = await client.indices.putSettings({ index: "my-index-000001", settings: { "index.search.slowlog.threshold.query.warn": "10s", "index.search.slowlog.threshold.query.info": "5s", "index.search.slowlog.threshold.query.debug": "2s", "index.search.slowlog.threshold.query.trace": "500ms", "index.search.slowlog.threshold.fetch.warn": "1s", "index.search.slowlog.threshold.fetch.info": "800ms", "index.search.slowlog.threshold.fetch.debug": "500ms", "index.search.slowlog.threshold.fetch.trace": "200ms", "index.search.slowlog.include.user": true, }, }); console.log(response);
PUT /my-index-000001/_settings { "index.search.slowlog.threshold.query.warn": "10s", "index.search.slowlog.threshold.query.info": "5s", "index.search.slowlog.threshold.query.debug": "2s", "index.search.slowlog.threshold.query.trace": "500ms", "index.search.slowlog.threshold.fetch.warn": "1s", "index.search.slowlog.threshold.fetch.info": "800ms", "index.search.slowlog.threshold.fetch.debug": "500ms", "index.search.slowlog.threshold.fetch.trace": "200ms", "index.search.slowlog.include.user": true }
Enable slow logging for indexing events
editIndexing slow logs emit per index document.
You can use the index.indexing.slowlog.include.user
setting to append user.*
and auth.type
fields to slow log entries. These fields contain information about the user who triggered the request.
The following snippet adjusts all available indexing slow log settings across all indices using the
log4j2.properties
configuration file:
index.indexing.slowlog.threshold.index.warn: 10s index.indexing.slowlog.threshold.index.info: 5s index.indexing.slowlog.threshold.index.debug: 2s index.indexing.slowlog.threshold.index.trace: 500ms index.indexing.slowlog.source: 1000 index.indexing.slowlog.reformat: true index.indexing.slowlog.include.user: true
The following snippet adjusts the same settings for a single index using the update indices settings API:
resp = client.indices.put_settings( index="my-index-000001", settings={ "index.indexing.slowlog.threshold.index.warn": "10s", "index.indexing.slowlog.threshold.index.info": "5s", "index.indexing.slowlog.threshold.index.debug": "2s", "index.indexing.slowlog.threshold.index.trace": "500ms", "index.indexing.slowlog.source": "1000", "index.indexing.slowlog.reformat": True, "index.indexing.slowlog.include.user": True }, ) print(resp)
const response = await client.indices.putSettings({ index: "my-index-000001", settings: { "index.indexing.slowlog.threshold.index.warn": "10s", "index.indexing.slowlog.threshold.index.info": "5s", "index.indexing.slowlog.threshold.index.debug": "2s", "index.indexing.slowlog.threshold.index.trace": "500ms", "index.indexing.slowlog.source": "1000", "index.indexing.slowlog.reformat": true, "index.indexing.slowlog.include.user": true, }, }); console.log(response);
PUT /my-index-000001/_settings { "index.indexing.slowlog.threshold.index.warn": "10s", "index.indexing.slowlog.threshold.index.info": "5s", "index.indexing.slowlog.threshold.index.debug": "2s", "index.indexing.slowlog.threshold.index.trace": "500ms", "index.indexing.slowlog.source": "1000", "index.indexing.slowlog.reformat": true, "index.indexing.slowlog.include.user": true }
Logging the _source
field
editBy default, Elasticsearch logs the first 1000 characters of the _source
in the slow log. You can adjust how _source
is logged using the index.indexing.slowlog.source
setting. Set index.indexing.slowlog.source
to false
or 0
to skip logging the source entirely. Set index.indexing.slowlog.source
to true
to log the entire source regardless of size.
The original _source
is reformatted by default to make sure that it fits on a single log line. If preserving the original document format is important, then you can turn off reformatting by setting index.indexing.slowlog.reformat
to false
. This causes source to be logged with the original formatting intact, potentially spanning multiple log lines.
Best practices for slow logging
editLogging slow requests can be resource intensive to your Elasticsearch cluster depending on the qualifying traffic’s volume. For example, emitted logs might increase the index disk usage of your Elasticsearch monitoring cluster. To reduce the impact of slow logs, consider the following:
- Enable slow logs against specific indices rather than across all indices.
- Set high thresholds to reduce the number of logged events.
- Enable slow logs only when troubleshooting.
If you aren’t sure how to start investigating traffic issues, consider enabling the warn
threshold with a high 30s
threshold at the index level using the update indices settings API:
-
Enable for search requests:
resp = client.indices.put_settings( index="*", settings={ "index.search.slowlog.include.user": True, "index.search.slowlog.threshold.fetch.warn": "30s", "index.search.slowlog.threshold.query.warn": "30s" }, ) print(resp)
const response = await client.indices.putSettings({ index: "*", settings: { "index.search.slowlog.include.user": true, "index.search.slowlog.threshold.fetch.warn": "30s", "index.search.slowlog.threshold.query.warn": "30s", }, }); console.log(response);
PUT /*/_settings { "index.search.slowlog.include.user": true, "index.search.slowlog.threshold.fetch.warn": "30s", "index.search.slowlog.threshold.query.warn": "30s" }
-
Enable for indexing requests:
resp = client.indices.put_settings( index="*", settings={ "index.indexing.slowlog.include.user": True, "index.indexing.slowlog.threshold.index.warn": "30s" }, ) print(resp)
const response = await client.indices.putSettings({ index: "*", settings: { "index.indexing.slowlog.include.user": true, "index.indexing.slowlog.threshold.index.warn": "30s", }, }); console.log(response);
PUT /*/_settings { "index.indexing.slowlog.include.user": true, "index.indexing.slowlog.threshold.index.warn": "30s" }
Slow log thresholds being met does not guarantee cluster performance issues. In the event that symptoms are noticed, slow logs can provide helpful data to diagnose upstream traffic patterns or sources to resolve client-side issues. For example, you can use data included in X-Opaque-ID
, the _source
request body, or user.*
fields to identify the source of your issue. This is similar to troubleshooting live expensive tasks.
If you’re experiencing search performance issues, then you might also consider investigating searches flagged for their query durations using the profile API. You can then use the profiled query to investigate optimization options using the query profiler. This type of investigation should usually take place in a non-production environment.
Slow logging checks each event against the reporting threshold when the event is complete. This means that it can’t report if events trigger circuit breaker errors. If suspect circuit breaker errors, then you should also consider enabling audit logging, which logs events before they are executed.
Learn more
editTo learn about other ways to optimize your search and indexing requests, refer to tune for search speed and tune for indexing speed.
On this page