- Elasticsearch Guide: other versions:
- Elasticsearch introduction
- Getting started with Elasticsearch
- Set up Elasticsearch
- Installing Elasticsearch
- Configuring Elasticsearch
- Important Elasticsearch configuration
- Important System Configuration
- Bootstrap Checks
- Heap size check
- File descriptor check
- Memory lock check
- Maximum number of threads check
- Max file size check
- Maximum size virtual memory check
- Maximum map count check
- Client JVM check
- Use serial collector check
- System call filter check
- OnError and OnOutOfMemoryError checks
- Early-access check
- G1GC check
- All permission check
- Discovery configuration check
- Starting Elasticsearch
- Stopping Elasticsearch
- Adding nodes to your cluster
- Full-cluster restart and rolling restart
- Set up X-Pack
- Configuring X-Pack Java Clients
- Bootstrap Checks for X-Pack
- Upgrade Elasticsearch
- Aggregations
- Metrics Aggregations
- Avg Aggregation
- Weighted Avg Aggregation
- Cardinality Aggregation
- Extended Stats Aggregation
- Geo Bounds Aggregation
- Geo Centroid Aggregation
- Max Aggregation
- Min Aggregation
- Percentiles Aggregation
- Percentile Ranks Aggregation
- Scripted Metric Aggregation
- Stats Aggregation
- Sum Aggregation
- Top Hits Aggregation
- Value Count Aggregation
- Median Absolute Deviation Aggregation
- Bucket Aggregations
- Adjacency Matrix Aggregation
- Auto-interval Date Histogram Aggregation
- Children Aggregation
- Composite Aggregation
- Date histogram aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- GeoTile Grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
- Nested Aggregation
- 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
- Avg Bucket Aggregation
- Derivative Aggregation
- Max Bucket Aggregation
- Min Bucket Aggregation
- Sum Bucket Aggregation
- Stats Bucket Aggregation
- Extended Stats Bucket Aggregation
- Percentiles Bucket Aggregation
- Moving Average Aggregation
- Moving Function Aggregation
- Cumulative Sum Aggregation
- Cumulative Cardinality Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Bucket Sort Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Metrics Aggregations
- Query DSL
- Search across clusters
- Scripting
- Mapping
- Analysis
- Anatomy of an analyzer
- Testing analyzers
- Analyzers
- Normalizers
- Tokenizers
- Char Group Tokenizer
- Classic Tokenizer
- Edge n-gram tokenizer
- Keyword Tokenizer
- Letter Tokenizer
- Lowercase Tokenizer
- N-gram tokenizer
- Path Hierarchy Tokenizer
- Path Hierarchy Tokenizer Examples
- Pattern Tokenizer
- Simple Pattern Tokenizer
- Simple Pattern Split Tokenizer
- Standard Tokenizer
- Thai Tokenizer
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- Token Filters
- Apostrophe
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- Fingerprint
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- Length Token Filter
- Limit Token Count Token Filter
- Lowercase Token Filter
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- N-gram
- Normalization Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Phonetic Token Filter
- Porter Stem Token Filter
- Predicate Token Filter Script
- Remove Duplicates Token Filter
- Reverse Token Filter
- Shingle Token Filter
- Snowball Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Stop Token Filter
- Synonym Token Filter
- Synonym Graph Token Filter
- Trim Token Filter
- Truncate Token Filter
- Unique Token Filter
- Uppercase Token Filter
- Word Delimiter Token Filter
- Word Delimiter Graph Token Filter
- Character Filters
- Modules
- Index modules
- Ingest node
- Pipeline Definition
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
- Bytes Processor
- Circle Processor
- Convert Processor
- Date Processor
- Date Index Name Processor
- Dissect Processor
- Dot Expander Processor
- Drop Processor
- Fail Processor
- Foreach Processor
- GeoIP Processor
- Grok Processor
- Gsub Processor
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- Join Processor
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- Remove Processor
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- Script Processor
- Set Processor
- Set Security User Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- URL Decode Processor
- User Agent processor
- Managing the index lifecycle
- Getting started with index lifecycle management
- Policy phases and actions
- Set up index lifecycle management policy
- Using policies to manage index rollover
- Update policy
- Index lifecycle error handling
- Restoring snapshots of managed indices
- Start and stop index lifecycle management
- Using ILM with existing indices
- Getting started with snapshot lifecycle management
- SQL access
- Overview
- Getting Started with SQL
- Conventions and Terminology
- Security
- SQL REST API
- SQL Translate API
- SQL CLI
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- Functions and Operators
- Comparison Operators
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- 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
- Monitor a cluster
- Frozen indices
- Roll up or transform your data
- Set up a cluster for high availability
- 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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- Add index alias
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- Index alias exists
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- Machine learning data frame analytics APIs
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- Authenticate
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- OpenID Connect Prepare Authentication API
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- Snapshot lifecycle management API
- Transform APIs
- Watcher APIs
- Definitions
- Release highlights
- Breaking changes
- Release notes
- 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
Shrink index API
editShrink index API
editShrinks an existing index into a new index with fewer primary shards.
POST /twitter/_shrink/shrunk-twitter-index
Prerequisites
editBefore you can shrink an index:
- The index must be read-only.
- A copy of every shard in the index must reside on the same node.
- The cluster health status must be green.
These three conditions can be achieved with the following request:
PUT /my_source_index/_settings { "settings": { "index.routing.allocation.require._name": "shrink_node_name", "index.blocks.write": true } }
Forces the relocation of a copy of each shard to the node with name
|
|
Prevents write operations to this index while still allowing metadata changes like deleting the index. |
It can take a while to relocate the source index. Progress can be tracked
with the _cat recovery
API, or the cluster health
API can be used to wait until all shards have relocated
with the wait_for_no_relocating_shards
parameter.
Description
editThe shrink index API allows you to shrink an existing index into a new index
with fewer primary shards. The requested number of primary shards in the target index
must be a factor of the number of shards in the source index. For example an index with
8
primary shards can be shrunk into 4
, 2
or 1
primary shards or an index
with 15
primary shards can be shrunk into 5
, 3
or 1
. If the number
of shards in the index is a prime number it can only be shrunk into a single
primary shard. Before shrinking, a (primary or replica) copy of every shard
in the index must be present on the same node.
How shrinking works
editA shrink operation:
- Creates a new target index with the same definition as the source index, but with a smaller number of primary shards.
- Hard-links segments from the source index into the target index. (If the file system doesn’t support hard-linking, then all segments are copied into the new index, which is a much more time consuming process. Also if using multiple data paths, shards on different data paths require a full copy of segment files if they are not on the same disk since hardlinks don’t work across disks)
- Recovers the target index as though it were a closed index which had just been re-opened.
Shrink an index
editTo shrink my_source_index
into a new index called my_target_index
, issue
the following request:
POST /my_source_index/_shrink/my_target_index { "settings": { "index.routing.allocation.require._name": null, "index.blocks.write": null } }
Clear the allocation requirement copied from the source index. |
|
Clear the index write block copied from the source index. |
The above request returns immediately once the target index has been added to the cluster state — it doesn’t wait for the shrink operation to start.
Indices can only be shrunk if they satisfy the following requirements:
- the target index must not exist
- The index must have more primary shards than the target index.
- The number of primary shards in the target index must be a factor of the number of primary shards in the source index. The source index must have more primary shards than the target index.
-
The index must not contain more than
2,147,483,519
documents in total across all shards that will be shrunk into a single shard on the target index as this is the maximum number of docs that can fit into a single shard. - The node handling the shrink process must have sufficient free disk space to accommodate a second copy of the existing index.
The _shrink
API is similar to the create index
API
and accepts settings
and aliases
parameters for the target index:
POST /my_source_index/_shrink/my_target_index { "settings": { "index.number_of_replicas": 1, "index.number_of_shards": 1, "index.codec": "best_compression" }, "aliases": { "my_search_indices": {} } }
The number of shards in the target index. This must be a factor of the number of shards in the source index. |
|
Best compression will only take affect when new writes are made to the index, such as when force-merging the shard to a single segment. |
Mappings may not be specified in the _shrink
request.
Monitor the shrink process
editThe shrink process can be monitored with the _cat recovery
API, or the cluster health
API can be used to wait
until all primary shards have been allocated by setting the wait_for_status
parameter to yellow
.
The _shrink
API returns as soon as the target index has been added to the
cluster state, before any shards have been allocated. At this point, all
shards are in the state unassigned
. If, for any reason, the target index
can’t be allocated on the shrink node, its primary shard will remain
unassigned
until it can be allocated on that node.
Once the primary shard is allocated, it moves to state initializing
, and the
shrink process begins. When the shrink operation completes, the shard will
become active
. At that point, Elasticsearch will try to allocate any
replicas and may decide to relocate the primary shard to another node.
Wait for active shards
editBecause the shrink operation creates a new index to shrink the shards to, the wait for active shards setting on index creation applies to the shrink index action as well.
Path parameters
edit-
<index>
- (Required, string) Name of the source index to shrink.
-
<target-index>
-
(Required, string) Name of the target index to create.
Index names must meet the following criteria:
- Lowercase only
-
Cannot include
\
,/
,*
,?
,"
,<
,>
,|
, ` ` (space character),,
,#
-
Indices prior to 7.0 could contain a colon (
:
), but that’s been deprecated and won’t be supported in 7.0+ -
Cannot start with
-
,_
,+
-
Cannot be
.
or..
- Cannot be longer than 255 bytes (note it is bytes, so multi-byte characters will count towards the 255 limit faster)
Query parameters
edit-
wait_for_active_shards
-
(Optional, string) The number of shard copies that must be active before proceeding with the operation. Set to
all
or any positive integer up to the total number of shards in the index (number_of_replicas+1
). Default: 1, the primary shard.See Active shards.
-
timeout
-
(Optional, time units) Specifies the period of time to wait for
a response. If no response is received before the timeout expires, the request
fails and returns an error. Defaults to
30s
. -
master_timeout
-
(Optional, time units) Specifies the period of time to wait for
a connection to the master node. If no response is received before the timeout
expires, the request fails and returns an error. Defaults to
30s
.
Request body
edit-
aliases
- (Optional, alias object) Index aliases which include the target index. See Update index alias.
-
settings
- (Optional, index setting object) Configuration options for the target index. See Index Settings.
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