- Elasticsearch Guide: other versions:
- What is Elasticsearch?
- What’s new in 7.7
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Setting JVM options
- Secure settings
- Auditing settings
- Circuit breaker settings
- Cluster-level shard allocation and routing settings
- Cross-cluster replication settings
- Discovery and cluster formation settings
- Field data cache settings
- HTTP
- Index lifecycle management settings
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- License settings
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- Node
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- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
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- Bootstrap Checks for X-Pack
- Starting Elasticsearch
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- Remote clusters
- Set up X-Pack
- Configuring X-Pack Java Clients
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- Overview
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- Subtleties of bucketing range fields
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- 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
- Char Group Tokenizer
- Classic Tokenizer
- Edge n-gram tokenizer
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- Letter Tokenizer
- Lowercase Tokenizer
- N-gram tokenizer
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- Path Hierarchy Tokenizer Examples
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- Index modules
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- Pipeline Definition
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- Enrich your data
- Processors
- Append Processor
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- User Agent processor
- ILM: Manage the index lifecycle
- Monitor a cluster
- Frozen indices
- Roll up or transform your data
- Set up a cluster for high availability
- Snapshot and restore
- Secure a cluster
- Overview
- Configuring security
- User authentication
- Built-in users
- Internal users
- Token-based authentication services
- Realms
- Realm chains
- Active Directory user authentication
- File-based user authentication
- LDAP user authentication
- Native user authentication
- OpenID Connect authentication
- PKI user authentication
- SAML authentication
- Kerberos authentication
- Integrating with other authentication systems
- Enabling anonymous access
- Controlling the user cache
- Configuring SAML single-sign-on on the Elastic Stack
- Configuring single sign-on to the Elastic Stack using OpenID Connect
- User authorization
- Built-in roles
- Defining roles
- Security privileges
- Document level security
- Field level security
- Granting privileges for indices and aliases
- Mapping users and groups to roles
- Setting up field and document level security
- Submitting requests on behalf of other users
- Configuring authorization delegation
- Customizing roles and authorization
- Enabling audit logging
- Encrypting communications
- Restricting connections with IP filtering
- Cross cluster search, clients, and integrations
- Tutorial: Getting started with security
- Tutorial: Encrypting communications
- Troubleshooting
- Some settings are not returned via the nodes settings API
- Authorization exceptions
- Users command fails due to extra arguments
- Users are frequently locked out of Active Directory
- Certificate verification fails for curl on Mac
- SSLHandshakeException causes connections to fail
- Common SSL/TLS exceptions
- Common Kerberos exceptions
- Common SAML issues
- Internal Server Error in Kibana
- Setup-passwords command fails due to connection failure
- Failures due to relocation of the configuration files
- Limitations
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- Command line tools
- How To
- Glossary of terms
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- cat APIs
- cat aliases
- cat allocation
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- Cluster APIs
- Cluster allocation explain
- Cluster get settings
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- Estimate model memory
- Find file structure
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- Get buckets
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- Machine learning data frame analytics APIs
- Create data frame analytics jobs
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- Evaluate data frame analytics
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- Get data frame analytics jobs
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- Get inference trained model stats
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- OpenID Connect Prepare Authentication 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 7.7.1
- 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
Take a snapshot of one or more indices
editTake a snapshot of one or more indices
editA repository can contain multiple snapshots of the same cluster. Snapshots are identified by unique names within the
cluster. A snapshot with the name snapshot_1
in the repository my_backup
can be created by executing the following
command:
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 the memory, which means that in large repositories it may take several seconds (or
even minutes) for this command to return even if the wait_for_completion
parameter is set to false
.
By default a snapshot of all open and started indices in the cluster is created. This behavior can be changed 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" } }
The list of indices that should be included into the snapshot can be specified using the indices
parameter that
supports multi index syntax, although the options which control the behavior of multi index syntax
must be supplied in the body of the request, rather than as request parameters. The snapshot request also 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 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 don’t have
all primary shards available. This behaviour can be changed 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 all
.
The metadata
field can be used to attach arbitrary metadata to the snapshot. This may be a record of 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. Note that special characters need to be URI encoded.
For example, creating a snapshot with the current day in the name, like snapshot-2018.05.11
, can be achieved with
the following command:
# PUT /_snapshot/my_backup/<snapshot-{now/d}> PUT /_snapshot/my_backup/%3Csnapshot-%7Bnow%2Fd%7D%3E
The index snapshot process is incremental. In the process of making the index 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. That allows multiple snapshots to be preserved in the repository in a compact form. Snapshotting process is executed in non-blocking fashion. All indexing and searching operation can continue to be executed against the index that is being snapshotted. However, a snapshot represents the point-in-time view of the index at the moment when snapshot was created, so no records that were added to the index after the snapshot process was started will be present in the snapshot. The snapshot process starts immediately for the primary shards that has been started and are not relocating at the moment. Before version 1.2.0, the snapshot operation fails if the cluster has any relocating or initializing primaries of indices participating in the snapshot. Starting with version 1.2.0, 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 executed in the cluster at any time. While snapshot of a particular shard is being created this shard cannot be moved to another node, which can interfere with rebalancing process and allocation filtering. Elasticsearch will only be able to move a shard to another node (according to the current allocation filtering settings and rebalancing algorithm) once the snapshot is finished.
Once a snapshot is created information about this snapshot can be obtained using the following command:
GET /_snapshot/my_backup/snapshot_1
This command returns basic information about the snapshot including start and end time, version of
Elasticsearch that created the snapshot, the list of included indices, the current state of the
snapshot and the list of failures that occurred during the snapshot. The snapshot state
can be
|
The snapshot is currently running. |
|
The snapshot finished and all shards were stored successfully. |
|
The snapshot finished with an error and failed to store any data. |
|
The global cluster state was stored, but data of at least one shard wasn’t stored successfully.
The |
|
The snapshot was created with an old version of Elasticsearch and therefore is incompatible with the current version of the cluster. |
Similar as for repositories, information about multiple snapshots can be queried in one go, supporting wildcards as well:
GET /_snapshot/my_backup/snapshot_*,some_other_snapshot
All snapshots currently stored in the repository can be listed using the following command:
GET /_snapshot/my_backup/_all
The command fails if some of the snapshots are unavailable. The boolean parameter ignore_unavailable
can be used to
return all snapshots that are currently available.
Getting all snapshots in the repository can be costly on cloud-based repositories,
both from a cost and performance perspective. If the only information required is
the snapshot names/uuids in the repository and the indices in each snapshot, then
the optional boolean parameter verbose
can be set to false
to execute a more
performant and cost-effective retrieval of the snapshots in the repository. Note
that setting verbose
to false
will omit all other information about the snapshot
such as status information, the number of snapshotted shards, etc. The default
value of the verbose
parameter is true
.
It is also possible to retrieve snapshots from multiple repositories in one go, for example:
GET /_snapshot/_all GET /_snapshot/my_backup,my_fs_backup GET /_snapshot/my*/snap*
A currently running snapshot can be retrieved using the following command:
GET /_snapshot/my_backup/_current
A snapshot can be deleted from the repository using the following command:
DELETE /_snapshot/my_backup/snapshot_2
When a snapshot is deleted from a repository, Elasticsearch deletes all files that are associated with the deleted snapshot and not used by any other snapshots. If the deleted snapshot operation is executed while the snapshot is being created the snapshotting process will be aborted and all files created as part of the snapshotting process will be cleaned. Therefore, the delete snapshot operation can be used to cancel long running snapshot operations that were started by mistake.