本地英文版地址: ../en/indices-forcemerge.html
Force merge APIedit
Forces a merge on the shards of one or more indices.
POST /twitter/_forcemerge
Descriptionedit
Use the force merge API to force a merge on the shards of one or more indices. Merging reduces the number of segments in each shard by merging some of them together, and also frees up the space used by deleted documents. Merging normally happens automatically, but sometimes it is useful to trigger a merge manually.
Force merge should only be called against an index after you have finished writing to it. Force merge can cause very large (>5GB) segments to be produced, and if you continue to write to such an index then the automatic merge policy will never consider these segments for future merges until they mostly consist of deleted documents. This can cause very large segments to remain in the index which can result in increased disk usage and worse search performance.
Blocks during a force mergeedit
Calls to this API block until the merge is complete. If the client connection is lost before completion then the force merge process will continue in the background. Any new requests to force merge the same indices will also block until the ongoing force merge is complete.
Force merging multiple indicesedit
The force merge API can be applied to more than one index with a single call, or
even on _all
the indices. Multi index operations are executed one shard at a
time per node. Force merge makes the storage for the shard being merged
temporarily increase, up to double its size in case max_num_segments
parameter
is set to 1
, as all segments need to be rewritten into a new one.
Path parametersedit
-
<index>
-
(Optional, string) Comma-separated list or wildcard expression of index names used to limit the request.
To force merge all indices in the cluster, omit this parameter or use a value of
_all
or*
.
Query parametersedit
-
allow_no_indices
-
(Optional, boolean) If
true
, the request does not return an error if a wildcard expression or_all
value retrieves only missing or closed indices.This parameter also applies to index aliases that point to a missing or closed index.
Defaults to
true
. -
expand_wildcards
-
(Optional, string) Controls what kind of indices that wildcard expressions can expand to. Multiple values are accepted when separated by a comma, as in
open,hidden
. Valid values are:-
all
- Expand to open and closed indices, including hidden indices.
-
open
- Expand only to open indices.
-
closed
- Expand only to closed indices.
-
hidden
-
Expansion of wildcards will include hidden indices.
Must be combined with
open
,closed
, or both. -
none
- Wildcard expressions are not accepted.
Defaults to
open
. -
-
flush
-
(Optional, boolean)
If
true
, Elasticsearch performs a flush on the indices after the force merge. Defaults totrue
. -
ignore_unavailable
-
(Optional, boolean) If
true
, missing or closed indices are not included in the response. Defaults tofalse
. -
max_num_segments
-
(Optional, integer) The number of segments to merge to. To fully merge the index, set it to
1
.Defaults to checking if a merge needs to execute. If so, executes it.
-
only_expunge_deletes
-
(Optional, boolean) If
true
, only expunge segments containing document deletions. Defaults tofalse
.In Lucene, a document is not deleted from a segment; just marked as deleted. During a merge, a new segment is created that does not contain those document deletions.
This parameter does not override the
index.merge.policy.expunge_deletes_allowed
setting.
Examplesedit
Force merge a specific indexedit
POST /twitter/_forcemerge
Force merge several indicesedit
POST /kimchy,elasticsearch/_forcemerge
Force merge all indicesedit
POST /_forcemerge
Time-based indicesedit
Force-merging is useful for time-based indices, particularly when using rollover. In these cases, each index only receives indexing traffic for a certain period of time. Once an index receive no more writes, its shards can be force-merged to a single segment.
POST /logs-000001/_forcemerge?max_num_segments=1
This can be a good idea because single-segment shards can sometimes use simpler and more efficient data structures to perform searches.
- Elasticsearch权威指南: 其他版本:
- Elasticsearch是什么?
- 7.7版本的新特性
- 开始使用Elasticsearch
- 安装和设置
- 升级Elasticsearch
- 搜索你的数据
- 查询领域特定语言(Query DSL)
- SQL access(暂时不翻译)
- 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
- 聚合
- 度量(metric)聚合
- 桶(bucket)聚合
- adjacency_matrix 聚合
- auto_date_histogram 聚合
- children 聚合
- composite 聚合
- date_histogram 聚合
- date_range 聚合
- diversified_sampler 聚合
- filter 聚合
- filters 聚合
- geo_distance 聚合
- geohash_grid 聚合
- geotile_grid 聚合
- global 聚合
- histogram 聚合
- ip_range 聚合
- missing 聚合
- nested 聚合
- parent 聚合
- range 聚合
- rare_terms 聚合
- reverse_nested 聚合
- sampler 聚合
- significant_terms 聚合
- significant_text 聚合
- terms 聚合
- 给范围字段分桶的微妙之处
- 管道(pipeline)聚合
- 矩阵(matrix)聚合
- 重度缓存的聚合
- 只返回聚合的结果
- 聚合元数据
- Returning the type of the aggregation
- 使用转换对聚合结果进行索引
- 脚本
- 映射
- 删除的映射类型
- 字段数据类型
- alias(别名)
- array(数组)
- binary(二进制)
- boolean(布尔)
- date(日期)
- date_nanos(日期纳秒)
- dense_vector(密集矢量)
- histogram(直方图)
- flattened(扁平)
- geo_point(地理坐标点)
- geo_shape(地理形状)
- IP
- join(联结)
- keyword(关键词)
- nested(嵌套)
- numeric(数值)
- object(对象)
- percolator(渗透器)
- range(范围)
- rank_feature(特征排名)
- rank_features(特征排名)
- search_as_you_type(输入即搜索)
- Sparse vector
- Text
- Token count
- Shape
- Constant keyword
- Meta-Fields
- Mapping parameters
- Dynamic Mapping
- Text analysis
- Overview
- Concepts
- Configure text analysis
- Built-in analyzer reference
- Tokenizer reference
- 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
- UAX URL Email Tokenizer
- Whitespace Tokenizer
- 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 modules
- Ingest node
- Pipeline Definition
- Accessing Data in Pipelines
- Conditional Execution in Pipelines
- Handling Failures in Pipelines
- Enrich your data
- Processors
- Append Processor
- Bytes Processor
- Circle Processor
- Convert Processor
- CSV Processor
- Date Processor
- Date Index Name Processor
- Dissect Processor
- Dot Expander Processor
- Drop Processor
- Enrich Processor
- Fail Processor
- Foreach Processor
- GeoIP Processor
- Grok Processor
- Gsub Processor
- HTML Strip Processor
- Inference Processor
- Join Processor
- JSON Processor
- KV Processor
- Lowercase Processor
- Pipeline Processor
- Remove Processor
- Rename Processor
- Script Processor
- Set Processor
- Set Security User Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- URL Decode Processor
- 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
- Alerting on cluster and index events
- Command line tools
- How To
- Glossary of terms
- REST APIs
- API conventions
- cat APIs
- cat aliases
- cat allocation
- cat anomaly detectors
- 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 shards
- cat segments
- 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
- Cluster reroute
- Cluster state
- Cluster stats
- Cluster update settings
- Nodes feature usage
- Nodes hot threads
- Nodes info
- Nodes reload secure settings
- Nodes stats
- Pending cluster tasks
- Remote cluster info
- Task management
- Voting configuration exclusions
- Cross-cluster replication APIs
- Document APIs
- Enrich APIs
- Explore API
- Index APIs
- Add index alias
- Analyze
- Clear cache
- Clone index
- Close index
- Create index
- Delete index
- Delete index alias
- Delete index template
- Flush
- Force merge
- Freeze index
- Get field mapping
- Get index
- Get index alias
- Get index settings
- Get index template
- Get mapping
- Index alias exists
- Index exists
- Index recovery
- Index segments
- Index shard stores
- Index stats
- Index template exists
- Open index
- Put index template
- Put mapping
- Refresh
- Rollover index
- Shrink index
- Split index
- Synced flush
- Type exists
- Unfreeze index
- Update index alias
- Update index settings
- Index lifecycle management API
- Ingest APIs
- Info API
- Licensing APIs
- Machine learning anomaly detection APIs
- Add events to calendar
- Add jobs to calendar
- Close jobs
- Create jobs
- Create calendar
- Create datafeeds
- Create filter
- Delete calendar
- Delete datafeeds
- Delete events from calendar
- Delete filter
- Delete forecast
- Delete jobs
- Delete jobs from calendar
- Delete model snapshots
- Delete expired data
- Estimate model memory
- Find file structure
- Flush jobs
- Forecast jobs
- Get buckets
- Get calendars
- Get categories
- Get datafeeds
- Get datafeed statistics
- Get influencers
- Get jobs
- Get job statistics
- Get machine learning info
- Get model snapshots
- Get overall buckets
- Get scheduled events
- Get filters
- Get records
- Open jobs
- Post data to jobs
- Preview datafeeds
- Revert model snapshots
- Set upgrade mode
- Start datafeeds
- Stop datafeeds
- Update datafeeds
- Update filter
- Update jobs
- Update model snapshots
- 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
- Stop data frame analytics jobs
- Migration APIs
- Reload search analyzers
- Rollup APIs
- Search APIs
- Security APIs
- Authenticate
- Change passwords
- Clear cache
- Clear roles cache
- Create API keys
- Create or update application privileges
- Create or update role mappings
- Create or update roles
- Create or update users
- Delegate PKI authentication
- Delete application privileges
- Delete role mappings
- Delete roles
- Delete users
- Disable users
- Enable users
- Get API key information
- Get application privileges
- Get builtin privileges
- Get role mappings
- Get roles
- Get token
- Get users
- Has privileges
- Invalidate API key
- Invalidate token
- OpenID Connect Prepare Authentication API
- OpenID Connect authenticate API
- OpenID Connect logout API
- SAML prepare authentication API
- SAML authenticate API
- SAML logout API
- SAML invalidate API
- 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