- 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
- 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
- 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
- Mistral inference integration
- OpenAI 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
- 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 8.17.3
- 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
Azure repository
editAzure repository
editYou can use Azure Blob storage as a repository for Snapshot and restore.
Setup
editTo enable Azure repositories, first configure an Azure repository client by
specifying one or more settings of the form
azure.client.CLIENT_NAME.SETTING_NAME
. By default, azure
repositories use a
client named default
, but you may specify a different client name when
registering each repository.
The only mandatory Azure repository client setting is account
, which is a
secure setting defined in the Elasticsearch
keystore. To provide this setting, use the elasticsearch-keystore
tool on
each node:
bin/elasticsearch-keystore add azure.client.default.account
If you adjust this setting after a node has started, call the Nodes reload secure settings API to reload the new value.
You may define more than one client by setting their account
values. For
instance, to set the default
client and another client called secondary
, run
the following commands on each node:
bin/elasticsearch-keystore add azure.client.default.account bin/elasticsearch-keystore add azure.client.secondary.account
The key
and sas_token
settings are also secure settings and can be set using
commands like the following:
bin/elasticsearch-keystore add azure.client.default.key bin/elasticsearch-keystore add azure.client.secondary.sas_token
Other Azure repository client settings must be set in elasticsearch.yml
before
the node starts. For example:
azure.client.default.timeout: 10s azure.client.default.max_retries: 7 azure.client.default.endpoint_suffix: core.chinacloudapi.cn azure.client.secondary.timeout: 30s
In this example, the client side timeout is 10s
per try for repositories which
use the default
client, with 7
retries before failing and an endpoint
suffix of core.chinacloudapi.cn
. Repositories which use the secondary
client
will have a timeout of 30s
per try, but will use the default endpoint and will
fail after the default number of retries.
Once an Azure repository client is configured correctly, register an Azure
repository as follows, providing the client name using the client
repository setting:
resp = client.snapshot.create_repository( name="my_backup", repository={ "type": "azure", "settings": { "client": "secondary" } }, ) print(resp)
const response = await client.snapshot.createRepository({ name: "my_backup", repository: { type: "azure", settings: { client: "secondary", }, }, }); console.log(response);
PUT _snapshot/my_backup { "type": "azure", "settings": { "client": "secondary" } }
If you are using the default
client, you may omit the client
repository
setting:
resp = client.snapshot.create_repository( name="my_backup", repository={ "type": "azure" }, ) print(resp)
const response = await client.snapshot.createRepository({ name: "my_backup", repository: { type: "azure", }, }); console.log(response);
PUT _snapshot/my_backup { "type": "azure" }
In progress snapshot or restore jobs will not be preempted by a reload of the storage secure settings. They will complete using the client as it was built when the operation started.
Client settings
editThe following list describes the available client settings. Those that must be
stored in the keystore are marked as (Secure,
reloadable); the other
settings must be stored in the elasticsearch.yml
file. The default
CLIENT_NAME
is default
but you may configure a client with a different name
and specify that client by name when registering a repository.
-
azure.client.CLIENT_NAME.account
(Secure, reloadable) - The Azure account name, which is used by the repository’s internal Azure client. This setting is required for all clients.
-
azure.client.CLIENT_NAME.endpoint_suffix
-
The Azure endpoint suffix to connect to. The default value is
core.windows.net
. -
azure.client.CLIENT_NAME.key
(Secure, reloadable) -
The Azure secret key, which is used by the repository’s internal Azure client.
Alternatively, use
sas_token
. -
azure.client.CLIENT_NAME.max_retries
-
The number of retries to use when an Azure request fails. This setting helps
control the exponential backoff policy. It specifies the number of retries
that must occur before the snapshot fails. The default value is
3
. The initial backoff period is defined by Azure SDK as30s
. Thus there is30s
of wait time before retrying after a first timeout or failure. The maximum backoff period is defined by Azure SDK as90s
. -
azure.client.CLIENT_NAME.proxy.host
- The host name of a proxy to connect to Azure through. By default, no proxy is used.
-
azure.client.CLIENT_NAME.proxy.port
- The port of a proxy to connect to Azure through. By default, no proxy is used.
-
azure.client.CLIENT_NAME.proxy.type
-
Register a proxy type for the client. Supported values are
direct
,http
, andsocks
. For example:azure.client.default.proxy.type: http
. Whenproxy.type
is set tohttp
orsocks
,proxy.host
andproxy.port
must also be provided. The default value isdirect
. -
azure.client.CLIENT_NAME.sas_token
(Secure, reloadable) -
A shared access signatures (SAS) token, which the repository’s internal Azure
client uses for authentication. The SAS token must have read (r), write (w),
list (l), and delete (d) permissions for the repository base path and all its
contents. These permissions must be granted for the blob service (b) and apply
to resource types service (s), container (c), and object (o). Alternatively,
use
key
. -
azure.client.CLIENT_NAME.timeout
-
The client side timeout for any single request to Azure, as a
time unit. For example, a value of
5s
specifies a 5 second timeout. There is no default value, which means that Elasticsearch uses the default value set by the Azure client. -
azure.client.CLIENT_NAME.endpoint
- The Azure endpoint to connect to. It must include the protocol used to connect to Azure.
-
azure.client.CLIENT_NAME.secondary_endpoint
- The Azure secondary endpoint to connect to. It must include the protocol used to connect to Azure.
Obtaining credentials from the environment
If you specify neither the key
nor the sas_token
settings for a client then
Elasticsearch will attempt to automatically obtain credentials from the environment in
which it is running using mechanisms built into the Azure SDK. This is ideal
for when running Elasticsearch on the Azure platform.
When running Elasticsearch on an Azure Virtual Machine, you should use Azure Managed Identity to provide credentials to Elasticsearch. To use Azure Managed Identity, assign a suitably authorized identity to the Azure Virtual Machine on which Elasticsearch is running.
When running Elasticsearch in
Azure Kubernetes
Service, for instance using Elastic Cloud on Kubernetes, you should use
Azure
Workload Identity to provide credentials to Elasticsearch. To use Azure Workload
Identity, mount the azure-identity-token
volume as a subdirectory of the
Elasticsearch config directory and set the
AZURE_FEDERATED_TOKEN_FILE
environment variable to point to a file called
azure-identity-token
within the mounted volume.
The Azure SDK has several other mechanisms to automatically obtain credentials from its environment, but the two methods described above are the only ones that are tested and supported for use in Elasticsearch.
Repository settings
editThe Azure repository supports the following settings, which may be specified when registering an Azure repository as follows:
resp = client.snapshot.create_repository( name="my_backup", repository={ "type": "azure", "settings": { "client": "secondary", "container": "my_container", "base_path": "snapshots_prefix" } }, ) print(resp)
const response = await client.snapshot.createRepository({ name: "my_backup", repository: { type: "azure", settings: { client: "secondary", container: "my_container", base_path: "snapshots_prefix", }, }, }); console.log(response);
PUT _snapshot/my_backup { "type": "azure", "settings": { "client": "secondary", "container": "my_container", "base_path": "snapshots_prefix" } }
-
client
-
The name of the Azure repository client to use. Defaults to
default
. -
container
-
Container name. You must create the azure container before creating the repository.
Defaults to
elasticsearch-snapshots
. -
base_path
-
Specifies the path within container to repository data. Defaults to empty (root directory).
Don’t set
base_path
when configuring a snapshot repository for Elastic Cloud Enterprise. Elastic Cloud Enterprise automatically generates thebase_path
for each deployment so that multiple deployments may share the same bucket. -
chunk_size
-
Big files can be broken down into multiple smaller blobs in the blob store
during snapshotting. It is not recommended to change this value from its
default unless there is an explicit reason for limiting the size of blobs in
the repository. Setting a value lower than the default can result in an
increased number of API calls to the Azure blob store during snapshot create
as well as restore operations compared to using the default value and thus
make both operations slower as well as more costly. Specify the chunk size
as a byte unit, for example:
10MB
,5KB
,500B
. Defaults to the maximum size of a blob in the Azure blob store which is5TB
. -
compress
-
When set to
true
metadata files are stored in compressed format. This setting doesn’t affect index files that are already compressed by default. Defaults totrue
. -
max_restore_bytes_per_sec
- (Optional, byte value) Maximum snapshot restore rate per node. Defaults to unlimited. Note that restores are also throttled through recovery settings.
-
max_snapshot_bytes_per_sec
-
(Optional, byte value)
Maximum snapshot creation rate per node. Defaults to
40mb
per second. Note that if the recovery settings for managed services are set, then it defaults to unlimited, and the rate is additionally throttled through recovery settings.
-
readonly
-
(Optional, Boolean) If
true
, the repository is read-only. The cluster can retrieve and restore snapshots from the repository but not write to the repository or create snapshots in it.Only a cluster with write access can create snapshots in the repository. All other clusters connected to the repository should have the
readonly
parameter set totrue
.If
false
, the cluster can write to the repository and create snapshots in it. Defaults tofalse
.If you register the same snapshot repository with multiple clusters, only one cluster should have write access to the repository. Having multiple clusters write to the repository at the same time risks corrupting the contents of the repository.
-
location_mode
-
primary_only
orsecondary_only
. Defaults toprimary_only
. Note that if you set it tosecondary_only
, it will forcereadonly
to true.
Repository validation rules
editAccording to the containers naming guide, a container name must be a valid DNS name, conforming to the following naming rules:
- Container names must start with a letter or number, and can contain only letters, numbers, and the dash (-) character.
- Every dash (-) character must be immediately preceded and followed by a letter or number; consecutive dashes are not permitted in container names.
- All letters in a container name must be lowercase.
- Container names must be from 3 through 63 characters long.
Supported Azure Storage Account types
The Azure repository type works with all Standard storage accounts
-
Standard Locally Redundant Storage -
Standard_LRS
-
Standard Zone-Redundant Storage -
Standard_ZRS
-
Standard Geo-Redundant Storage -
Standard_GRS
-
Standard Read Access Geo-Redundant Storage -
Standard_RAGRS
Premium Locally Redundant Storage (Premium_LRS
) is not supported as it is only usable as VM disk storage, not as general storage.
Linearizable register implementation
editThe linearizable register implementation for Azure repositories is based on Azure’s support for strongly consistent leases. Each lease may only be held by a single node at any time. The node presents its lease when performing a read or write operation on a protected blob. Lease-protected operations fail if the lease is invalid or expired. To perform a compare-and-exchange operation on a register, Elasticsearch first obtains a lease on the blob, then reads the blob contents under the lease, and finally uploads the updated blob under the same lease. This process ensures that the read and write operations happen atomically.
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