- Elasticsearch Guide: other versions:
- Getting Started
- Setup Elasticsearch
- Breaking changes
- Breaking changes in 5.4
- Breaking changes in 5.3
- Breaking changes in 5.2
- Breaking changes in 5.1
- Breaking changes in 5.0
- Search and Query DSL changes
- Mapping changes
- Percolator changes
- Suggester changes
- Index APIs changes
- Document API changes
- Settings changes
- Allocation changes
- HTTP changes
- REST API changes
- CAT API changes
- Java API changes
- Packaging
- Plugin changes
- Filesystem related changes
- Path to data on disk
- Aggregation changes
- Script related changes
- API Conventions
- Document APIs
- Search APIs
- Aggregations
- Metrics Aggregations
- 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
- Bucket Aggregations
- Adjacency Matrix Aggregation
- Children Aggregation
- Date Histogram Aggregation
- Date Range Aggregation
- Diversified Sampler Aggregation
- Filter Aggregation
- Filters Aggregation
- Geo Distance Aggregation
- GeoHash grid Aggregation
- Global Aggregation
- Histogram Aggregation
- IP Range Aggregation
- Missing Aggregation
- Nested Aggregation
- Range Aggregation
- Reverse nested Aggregation
- Sampler Aggregation
- Significant Terms Aggregation
- Terms Aggregation
- 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
- Cumulative Sum Aggregation
- Bucket Script Aggregation
- Bucket Selector Aggregation
- Serial Differencing Aggregation
- Matrix Aggregations
- Caching heavy aggregations
- Returning only aggregation results
- Aggregation Metadata
- Returning the type of the aggregation
- Metrics Aggregations
- Indices APIs
- Create Index
- Delete Index
- Get Index
- Indices Exists
- Open / Close Index API
- Shrink Index
- Rollover Index
- Put Mapping
- Get Mapping
- Get Field Mapping
- Types Exists
- Index Aliases
- Update Indices Settings
- Get Settings
- Analyze
- Index Templates
- Shadow replica indices
- Indices Stats
- Indices Segments
- Indices Recovery
- Indices Shard Stores
- Clear Cache
- Flush
- Refresh
- Force Merge
- cat APIs
- Cluster APIs
- Query DSL
- Mapping
- Analysis
- Anatomy of an analyzer
- Testing analyzers
- Analyzers
- Normalizers
- Tokenizers
- Token Filters
- Standard Token Filter
- ASCII Folding Token Filter
- Flatten Graph Token Filter
- Length Token Filter
- Lowercase Token Filter
- Uppercase Token Filter
- NGram Token Filter
- Edge NGram Token Filter
- Porter Stem Token Filter
- Shingle Token Filter
- Stop Token Filter
- Word Delimiter Token Filter
- Word Delimiter Graph 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
- Synonym Graph Token Filter
- Compound Word Token Filters
- 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
- CJK Width Token Filter
- CJK Bigram Token Filter
- Delimited Payload Token Filter
- Keep Words Token Filter
- Keep Types Token Filter
- Classic Token Filter
- Apostrophe Token Filter
- Decimal Digit Token Filter
- Fingerprint Token Filter
- Minhash Token Filter
- Character Filters
- Modules
- Index Modules
- Ingest Node
- Pipeline Definition
- Ingest APIs
- Accessing Data in Pipelines
- Handling Failures in Pipelines
- Processors
- Append Processor
- Convert Processor
- Date Processor
- Date Index Name Processor
- Fail Processor
- Foreach Processor
- Grok Processor
- Gsub Processor
- Join Processor
- JSON Processor
- KV Processor
- Lowercase Processor
- Remove Processor
- Rename Processor
- Script Processor
- Set Processor
- Split Processor
- Sort Processor
- Trim Processor
- Uppercase Processor
- Dot Expander Processor
- How To
- Testing
- Glossary of terms
- Release Notes
- 5.4.3 Release Notes
- 5.4.2 Release Notes
- 5.4.1 Release Notes
- 5.4.0 Release Notes
- 5.3.3 Release Notes
- 5.3.2 Release Notes
- 5.3.1 Release Notes
- 5.3.0 Release Notes
- 5.2.2 Release Notes
- 5.2.1 Release Notes
- 5.2.0 Release Notes
- 5.1.2 Release Notes
- 5.1.1 Release Notes
- 5.1.0 Release Notes
- 5.0.2 Release Notes
- 5.0.1 Release Notes
- 5.0.0 Combined Release Notes
- 5.0.0 GA Release Notes
- 5.0.0-rc1 Release Notes
- 5.0.0-beta1 Release Notes
- 5.0.0-alpha5 Release Notes
- 5.0.0-alpha4 Release Notes
- 5.0.0-alpha3 Release Notes
- 5.0.0-alpha2 Release Notes
- 5.0.0-alpha1 Release Notes
- 5.0.0-alpha1 Release Notes (Changes previously released in 2.x)
- Painless API Reference
WARNING: Version 5.4 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.
Configuring Elasticsearch
editConfiguring Elasticsearch
editElasticsearch ships with good defaults and requires very little configuration. Most settings can be changed on a running cluster using the Cluster Update Settings API.
The configuration files should contain settings which are node-specific (such
as node.name
and paths), or settings which a node requires in order to be
able to join a cluster, such as cluster.name
and network.host
.
Config file location
editElasticsearch has two configuration files:
-
elasticsearch.yml
for configuring Elasticsearch, and -
log4j2.properties
for configuring Elasticsearch logging.
These files are located in the config directory, whose location defaults to
$ES_HOME/config/
. The Debian and RPM packages set the config directory
location to /etc/elasticsearch/
.
The location of the config directory can be changed with the path.conf
setting, as follows:
./bin/elasticsearch -Epath.conf=/path/to/my/config/
Config file format
editThe configuration format is YAML. Here is an example of changing the path of the data and logs directories:
path: data: /var/lib/elasticsearch logs: /var/log/elasticsearch
Settings can also be flattened as follows:
path.data: /var/lib/elasticsearch path.logs: /var/log/elasticsearch
Environment variable substitution
editEnvironment variables referenced with the ${...}
notation within the
configuration file will be replaced with the value of the environment
variable, for instance:
node.name: ${HOSTNAME} network.host: ${ES_NETWORK_HOST}
Prompting for settings
editFor settings that you do not wish to store in the configuration file, you can
use the value ${prompt.text}
or ${prompt.secret}
and start Elasticsearch
in the foreground. ${prompt.secret}
has echoing disabled so that the value
entered will not be shown in your terminal; ${prompt.text}
will allow you to
see the value as you type it in. For example:
node: name: ${prompt.text}
When starting Elasticsearch, you will be prompted to enter the actual value like so:
Enter value for [node.name]:
Elasticsearch will not start if ${prompt.text}
or ${prompt.secret}
is used in the settings and the process is run as a service or in the background.
Logging configuration
editElasticsearch uses Log4j 2 for
logging. Log4j 2 can be configured using the log4j2.properties
file. Elasticsearch exposes three properties, ${sys:es.logs.base_path}
,
${sys:es.logs.cluster_name}
, and ${sys:es.logs.node_name}
(if the node name
is explicitly set via node.name
) that can be referenced in the configuration
file to determine the location of the log files. The property
${sys:es.logs.base_path}
will resolve to the log directory,
${sys:es.logs.cluster_name}
will resolve to the cluster name (used as the
prefix of log filenames in the default configuration), and
${sys:es.logs.node_name}
will resolve to the node name (if the node name is
explicitly set).
For example, if your log directory (path.logs
) is /var/log/elasticsearch
and
your cluster is named production
then ${sys:es.logs.base_path}
will resolve
to /var/log/elasticsearch
and
${sys:es.logs.base_path}${sys:file.separator}${sys:es.logs.cluster_name}.log
will resolve to /var/log/elasticsearch/production.log
.
appender.rolling.type = RollingFile appender.rolling.name = rolling appender.rolling.fileName = ${sys:es.logs.base_path}${sys:file.separator}${sys:es.logs.cluster_name}.log appender.rolling.layout.type = PatternLayout appender.rolling.layout.pattern = [%d{ISO8601}][%-5p][%-25c] %.10000m%n appender.rolling.filePattern = ${sys:es.logs.base_path}${sys:file.separator}${sys:es.logs.cluster_name}-%d{yyyy-MM-dd}.log appender.rolling.policies.type = Policies appender.rolling.policies.time.type = TimeBasedTriggeringPolicy appender.rolling.policies.time.interval = 1 appender.rolling.policies.time.modulate = true
Configure the |
|
Log to |
|
Roll logs to |
|
Using a time-based roll policy |
|
Roll logs on a daily basis |
|
Align rolls on the day boundary (as opposed to rolling every twenty-four hours) |
Log4j’s configuration parsing gets confused by any extraneous whitespace; if you copy and paste any Log4j settings on this page, or enter any Log4j configuration in general, be sure to trim any leading and trailing whitespace.
If you append .gz
or .zip
to appender.rolling.filePattern
, then the logs
will be compressed as they are rolled.
If you want to retain log files for a specified period of time, you can use a rollover strategy with a delete action.
appender.rolling.strategy.type = DefaultRolloverStrategy appender.rolling.strategy.action.type = Delete appender.rolling.strategy.action.basepath = ${sys:es.logs.base_path} appender.rolling.strategy.action.condition.type = IfLastModified appender.rolling.strategy.action.condition.age = 7D appender.rolling.strategy.action.PathConditions.type = IfFileName appender.rolling.strategy.action.PathConditions.glob = ${sys:es.logs.cluster_name}-*
Configure the |
|
Configure the |
|
The base path to the Elasticsearch logs |
|
The condition to apply when handling rollovers |
|
Retain logs for seven days |
|
Only delete files older than seven days if they match the specified glob |
|
Delete files from the base path matching the glob
|
Multiple configuration files can be loaded (in which case they will get merged)
as long as they are named log4j2.properties
and have the Elasticsearch config
directory as an ancestor; this is useful for plugins that expose additional
loggers. The logger section contains the java packages and their corresponding
log level. The appender section contains the destinations for the logs.
Extensive information on how to customize logging and all the supported
appenders can be found on the
Log4j
documentation.
Deprecation logging
editIn addition to regular logging, Elasticsearch allows you to enable logging of deprecated actions. For example this allows you to determine early, if you need to migrate certain functionality in the future. By default, deprecation logging is enabled at the WARN level, the level at which all deprecation log messages will be emitted.
logger.deprecation.level = warn
This will create a daily rolling deprecation log file in your log directory. Check this file regularly, especially when you intend to upgrade to a new major version.
The default logging configuration has set the roll policy for the deprecation logs to roll and compress after 1 GB, and to preserve a maximum of five log files (four rolled logs, and the active log).
You can disable it in the config/log4j2.properties
file by setting the deprecation
log level to error
.
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