- Elasticsearch Guide: other versions:
- What is Elasticsearch?
- What’s new in 7.8
- 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
- Field data cache settings
- HTTP
- Index lifecycle management settings
- Index management settings
- Index recovery settings
- Indexing buffer settings
- License settings
- Local gateway settings
- Logging configuration
- Machine learning settings
- Monitoring settings
- Node
- Network settings
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- Search settings
- Security settings
- Shard request cache settings
- Snapshot lifecycle management settings
- Transforms settings
- Transport
- Thread pools
- Watcher settings
- 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
- 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
- Set up X-Pack
- Configuring X-Pack Java Clients
- Plugins
- Upgrade Elasticsearch
- Index templates
- Search your data
- Query DSL
- SQL access
- Overview
- Getting Started with SQL
- Conventions and Terminology
- Security
- SQL REST API
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- SQL CLI
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- SQL Language
- Functions and Operators
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- Full-Text Search Functions
- Mathematical Functions
- String Functions
- Type Conversion Functions
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- Conditional Functions And Expressions
- System Functions
- Reserved keywords
- SQL Limitations
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Weighted Avg Aggregation
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- Stats Aggregation
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- Scripted Metric Aggregation
- String Stats Aggregation
- Sum Aggregation
- Top Hits Aggregation
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- Value Count Aggregation
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- 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
- GeoTile Grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
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- Parent Aggregation
- Range Aggregation
- Rare Terms Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Significant Text Aggregation
- Terms Aggregation
- Subtleties of bucketing range fields
- Pipeline Aggregations
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Avg Bucket Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
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- Cumulative Cardinality Aggregation
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- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- 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
- Token filter reference
- Apostrophe
- ASCII folding
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- Synonym graph
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- Word delimiter graph
- Character filters reference
- Normalizers
- Index modules
- Ingest node
- 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
- Granting access to Stack Management features
- 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
- Failures due to relocation of the configuration files
- Limitations
- Alerting on cluster and index events
- Command line tools
- How To
- Glossary of terms
- REST APIs
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- cat APIs
- cat aliases
- cat allocation
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- Cluster APIs
- Cluster allocation explain
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- Add index alias
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- Index alias exists
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- Open index
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- Index lifecycle management API
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- Info API
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- Add events to calendar
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- Estimate model memory
- Find file structure
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- Get buckets
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- Get influencers
- Get jobs
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- Get machine learning info
- Get model snapshots
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- Set upgrade mode
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- Machine learning data frame analytics APIs
- Create data frame analytics jobs
- Create inference trained model
- Delete data frame analytics jobs
- Delete inference trained model
- Evaluate data frame analytics
- Explain data frame analytics API
- Get data frame analytics jobs
- Get data frame analytics jobs stats
- Get inference trained model
- Get inference trained model stats
- Start data frame analytics jobs
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- Migration APIs
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- Rollup APIs
- Search APIs
- Security APIs
- Authenticate
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- OpenID Connect Prepare Authentication API
- OpenID Connect authenticate API
- OpenID Connect logout API
- SAML prepare authentication API
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- SAML logout API
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- SSL certificate
- Snapshot and restore APIs
- Snapshot lifecycle management API
- Transform APIs
- Usage API
- Watcher APIs
- Definitions
- Breaking changes
- Release notes
- Elasticsearch version 7.8.1
- Elasticsearch version 7.8.0
- 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
Create a snapshot
editCreate a snapshot
editA repository can contain multiple snapshots of the same cluster. Snapshots are identified by unique names within the cluster.
Use the put snapshot repository API to register or update a snapshot repository, and then use the create snapshot API to create a snapshot in a repository.
The following request creates a snapshot with the name snapshot_1
in the repository my_backup
:
PUT /_snapshot/my_backup/snapshot_1?wait_for_completion=true
The wait_for_completion
parameter specifies whether or not the request should return immediately after snapshot
initialization (default) or wait for snapshot completion. During snapshot initialization, information about all
previous snapshots is loaded into memory, which means that in large repositories it may take several seconds (or
even minutes) for this request to return even if the wait_for_completion
parameter is set to false
.
By default, a snapshot backs up all open indices in the cluster. You can change this behavior by specifying the list of indices in the body of the snapshot request:
PUT /_snapshot/my_backup/snapshot_2?wait_for_completion=true { "indices": "index_1,index_2", "ignore_unavailable": true, "include_global_state": false, "metadata": { "taken_by": "kimchy", "taken_because": "backup before upgrading" } }
Use the indices
parameter to list the indices that should be included in the snapshot. This parameter supports
multi-target syntax, although the options that control the behavior of multi-index syntax
must be supplied in the body of the request, rather than as request parameters.
Snapshot process details
editThe snapshot process is incremental. In the process of making the snapshot, Elasticsearch analyses the list of the index files that are already stored in the repository and copies only files that were created or changed since the last snapshot. This process allows multiple snapshots to be preserved in the repository in a compact form.
The snapshot process is executed in non-blocking fashion. All indexing and searching operations can continue to run against the index that is being snapshotted. However, a snapshot represents a point-in-time view at the moment when snapshot was created, so no records that were added to the index after the snapshot process was started will be included in the snapshot.
The snapshot process starts immediately for the primary shards that have been started and are not relocating at the moment. Elasticsearch waits for relocation or initialization of shards to complete before snapshotting them.
Besides creating a copy of each index the snapshot process can also store global cluster metadata, which includes persistent cluster settings and templates. The transient settings and registered snapshot repositories are not stored as part of the snapshot.
Only one snapshot process can be started in the cluster at any time. While a snapshot of a particular shard is being created, this shard cannot be moved to another node, which can interfere with rebalancing and allocation filtering. Elasticsearch can only move a shard to another node (according to the current allocation filtering settings and rebalancing algorithm) after the snapshot process is finished.
After a snapshot is created, use the Get snapshot API to retrieve information about a snapshot. See Monitor snapshot and restore progress to learn more about retrieving snapshot status.
Options for creating a snapshot
editThe create snapshot request supports the
ignore_unavailable
option. Setting it to true
will cause indices that do not exist to be ignored during snapshot
creation. By default, when the ignore_unavailable
option is not set and an index is missing, the snapshot request will fail.
By setting include_global_state
to false
it’s possible to prevent the cluster global state to be stored as part of
the snapshot.
By default, the entire snapshot will fail if one or more indices participating in the snapshot do not have
all primary shards available. You can change this behaviour by setting partial
to true
. The expand_wildcards
option can be used to control whether hidden and closed indices will be included in the snapshot, and defaults to open,hidden
.
Use the metadata
field to attach arbitrary metadata to the snapshot,
such as who took the snapshot,
why it was taken, or any other data that might be useful.
Snapshot names can be automatically derived using date math expressions, similarly as when creating new indices. Special characters must be URI encoded.
For example, use the create snapshot API to create
a snapshot with the current day in the name, such as snapshot-2020.07.11
:
PUT /_snapshot/my_backup/<snapshot-{now/d}> PUT /_snapshot/my_backup/%3Csnapshot-%7Bnow%2Fd%7D%3E