- Elasticsearch Guide: other versions:
- Setup
- API Conventions
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- Indices APIs
- Create Index
- Delete Index
- Indices Exists
- Open / Close Index API
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
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- Index Aliases
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- Gateway Snapshot
- Cluster APIs
- Query DSL
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- Match Query
- Multi Match Query
- Bool Query
- Boosting Query
- Common Terms Query
- Custom Filters Score Query
- Custom Score Query
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- Fuzzy Like This Query
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- Function Score Query
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- Indices Query
- Match All Query
- More Like This Query
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- Nested Query
- Prefix Query
- Query String Query
- Simple Query String Query
- Range Query
- Regexp Query
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- Filters
- And Filter
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- Has Child Filter
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- Queries
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- Analysis
- Analyzers
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- Token Filters
- Standard Token Filter
- ASCII Folding Token Filter
- Length Token Filter
- Lowercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Stemmer Token Filter
- Stemmer Override Token Filter
- Keyword Marker Token Filter
- Keyword Repeat Token Filter
- KStem Token Filter
- Snowball Token Filter
- Phonetic Token Filter
- Synonym Token Filter
- Compound Word Token Filter
- Reverse Token Filter
- Elision Token Filter
- Truncate Token Filter
- Unique Token Filter
- Pattern Capture Token Filter
- Pattern Replace Token Filter
- Trim Token Filter
- Limit Token Count Token Filter
- Hunspell Token Filter
- Common Grams Token Filter
- Normalization Token Filter
- Keep Words Token Filter
- Delimited Payload Token Filter
- Character Filters
- ICU Analysis Plugin
- Modules
- Index Modules
- Glossary of terms
WARNING: Version 0.90 of Elasticsearch has passed its EOL date.
This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.
Thread Pool
editThread Pool
editA node holds several thread pools in order to improve how threads are managed and memory consumption within a node. There are several thread pools, but the important ones include:
|
For index/delete operations, defaults to |
|
For count/search operations, defaults to |
|
For suggest operations, defaults to |
|
For get operations, defaults to |
|
For bulk operations, defaults to |
|
For percolate operations, defaults to |
|
For segment warm-up operations, defaults to |
|
For refresh operations, defaults to |
Changing a specific thread pool can be done by setting its type and
specific type parameters, for example, changing the index
thread pool
to have more threads:
threadpool: index: type: fixed size: 30
you can update threadpool settings live using Cluster Update Settings.
Thread pool types
editThe following are the types of thread pools that can be used and their respective parameters:
cache
editThe cache
thread pool is an unbounded thread pool that will spawn a
thread if there are pending requests. Here is an example of how to set
it:
threadpool: index: type: cached
fixed
editThe fixed
thread pool holds a fixed size of threads to handle the
requests with a queue (optionally bounded) for pending requests that
have no threads to service them.
The size
parameter controls the number of threads, and defaults to the
number of cores times 5.
The queue_size
allows to control the size of the queue of pending
requests that have no threads to execute them. By default, it is set to
-1
which means its unbounded. When a request comes in and the queue is
full, it will abort the request.
threadpool: index: type: fixed size: 30 queue_size: 1000
Processors setting
editThe number of processors is automatically detected, and the thread pool
settings are automatically set based on it. Sometimes, the number of processors
are wrongly detected, in such cases, the number of processors can be
explicitly set using the processors
setting.
In order to check the number of processors detected, use the nodes info
API with the os
flag.
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