Configure the Elasticsearch output
The Elasticsearch output sends events directly to Elasticsearch by using the Elasticsearch HTTP API.
Compatibility: This output works with all compatible versions of Elasticsearch. See the Elastic Support Matrix.
This example configures an Elasticsearch output called default
in the elastic-agent.yml
file:
outputs:
default:
type: elasticsearch
hosts: [127.0.0.1:9200]
username: elastic
password: changeme
This example is similar to the previous one, except that it uses the recommended token-based (API key) authentication:
outputs:
default:
type: elasticsearch
hosts: [127.0.0.1:9200]
api_key: "my_api_key"
Token-based authentication is required in an Elastic Cloud Serverless environment.
The elasticsearch
output type supports the following settings, grouped by category. Many of these settings have sensible defaults that allow you to run Elastic Agent with minimal configuration.
- Commonly used settings
- Authentication settings
- Compatibility setting
- Data parsing, filtering, and manipulation settings
- HTTP settings
- Memory queue settings
- Performance tuning settings
Setting | Description |
---|---|
enabled |
(boolean) Enables or disables the output. If set to false , the output is disabled.Default: true |
hosts |
(list) The list of Elasticsearch nodes to connect to. The events are distributed to these nodes in round robin order. If one node becomes unreachable, the event is automatically sent to another node. Each Elasticsearch node can be defined as a URL or IP:PORT . For example: http://192.15.3.2 , https://es.found.io:9230 or 192.24.3.2:9300 . If no port is specified, 9200 is used.<><>{note} When a node is defined as an IP:PORT , the scheme and path are taken from the protocol and path settings.>> yaml<br>outputs:<br> default:<br> type: elasticsearch<br> hosts: ["10.45.3.2:9220", "10.45.3.1:9230"] <1><br> protocol: https<br> path: /elasticsearch<br> 1. In this example, the Elasticsearch nodes are available at https://10.45.3.2:9220/elasticsearch and https://10.45.3.1:9230/elasticsearch .Note that Elasticsearch Nodes in the Elastic Cloud Serverless environment are exposed on port 443. |
protocol |
(string) The name of the protocol Elasticsearch is reachable on. The options are: http or https . The default is http . However, if you specify a URL for hosts , the value of protocol is overridden by whatever scheme you specify in the URL. |
proxy_disable |
(boolean) If set to true , all proxy settings, including HTTP_PROXY and HTTPS_PROXY variables, are ignored.Default: false |
proxy_headers |
(string) Additional headers to send to proxies during CONNECT requests. |
proxy_url |
(string) The URL of the proxy to use when connecting to the Elasticsearch servers. The value may be either a complete URL or a host[:port] , in which case the http scheme is assumed. If a value is not specified through the configuration file then proxy environment variables are used. See the Go documentation for more information about the environment variables. |
When sending data to a secured cluster through the elasticsearch
output, Elastic Agent can use any of the following authentication methods:
- Basic authentication credentials
- Token-based (API key) authentication
- Public Key Infrastructure (PKI) certificates
- Kerberos
outputs:
default:
type: elasticsearch
hosts: ["https://myEShost:9200"]
username: "your-username"
password: "your-password"
Setting | Description |
---|---|
password |
(string) The basic authentication password for connecting to Elasticsearch. |
username |
(string) The basic authentication username for connecting to Elasticsearch. This user needs the privileges required to publish events to Elasticsearch. Note that in an Elastic Cloud Serverless environment you need to use token-based (API key) authentication. |
outputs:
default:
type: elasticsearch
hosts: ["https://myEShost:9200"]
api_key: "KnR6yE41RrSowb0kQ0HWoA"
Setting | Description |
---|---|
api_key |
(string) Instead of using a username and password, you can use API keys to secure communication with Elasticsearch. The value must be the ID of the API key and the API key joined by a colon: id:api_key . Token-based authentication is required in an Elastic Cloud Serverless environment. |
outputs:
default:
type: elasticsearch
hosts: ["https://myEShost:9200"]
ssl.certificate: "/etc/pki/client/cert.pem"
ssl.key: "/etc/pki/client/cert.key"
For a list of available settings, refer to SSL/TLS, specifically the settings under Table 7, Common configuration options and Table 8, Client configuration options.
The following encryption types are supported:
- aes128-cts-hmac-sha1-96
- aes128-cts-hmac-sha256-128
- aes256-cts-hmac-sha1-96
- aes256-cts-hmac-sha384-192
- des3-cbc-sha1-kd
- rc4-hmac
Example output config with Kerberos password-based authentication:
outputs:
default:
type: elasticsearch
hosts: ["http://my-elasticsearch.elastic.co:9200"]
kerberos.auth_type: password
kerberos.username: "elastic"
kerberos.password: "changeme"
kerberos.config_path: "/etc/krb5.conf"
kerberos.realm: "ELASTIC.CO"
The service principal name for the Elasticsearch instance is constructed from these options. Based on this configuration, the name would be:
HTTP/my-elasticsearch.elastic.co@ELASTIC.CO
Settings used to parse, filter, and transform data.
Setting | Description |
---|---|
escape_html |
(boolean) Configures escaping of HTML in strings. Set to true to enable escaping.Default: false |
pipeline |
(string) A format string value that specifies the ingest pipeline to write events to.yaml<br>outputs:<br> default:<br> type: elasticsearchoutput.elasticsearch:<br> hosts: ["http://localhost:9200"]<br> pipeline: my_pipeline_id<br> You can set the ingest pipeline dynamically by using a format string to access any event field. For example, this configuration uses a custom field, fields.log_type , to set the pipeline for each event:yaml<br>outputs:<br> default:<br> type: elasticsearch hosts: ["http://localhost:9200"]<br> pipeline: "%{[fields.log_type]}_pipeline"<br> With this configuration, all events with log_type: normal are sent to a pipeline named normal_pipeline , and all events with log_type: critical are sent to a pipeline named critical_pipeline .<><>{tip} To learn how to add custom fields to events, see the fields option.>> See the pipelines setting for other ways to set the ingest pipeline dynamically. |
pipelines |
An array of pipeline selector rules. Each rule specifies the ingest pipeline to use for events that match the rule. During publishing, Elastic Agent uses the first matching rule in the array. Rules can contain conditionals, format string-based fields, and name mappings. If the pipelines setting is missing or no rule matches, the pipeline setting is used.Rule settings: pipeline : The pipeline format string to use. If this string contains field references, such as %{[fields.name]} , the fields must exist, or the rule fails.mappings : A dictionary that takes the value returned by pipeline and maps it to a new name.default : The default string value to use if mappings does not find a match.when : A condition that must succeed in order to execute the current rule. All the conditions supported by processors are also supported here. The following example sends events to a specific pipeline based on whether the message field contains the specified string:yaml<br>outputs:<br> default:<br> type: elasticsearch hosts: ["http://localhost:9200"]<br> pipelines:<br> - pipeline: "warning_pipeline"<br> when.contains:<br> message: "WARN"<br> - pipeline: "error_pipeline"<br> when.contains:<br> message: "ERR"<br> The following example sets the pipeline by taking the name returned by the pipeline format string and mapping it to a new name that’s used for the pipeline:yaml<br>outputs:<br> default:<br> type: elasticsearch<br> hosts: ["http://localhost:9200"]<br> pipelines:<br> - pipeline: "%{[fields.log_type]}"<br> mappings:<br> critical: "sev1_pipeline"<br> normal: "sev2_pipeline"<br> default: "sev3_pipeline"<br> With this configuration, all events with log_type: critical are sent to sev1_pipeline , all events with log_type: normal are sent to a sev2_pipeline , and all other events are sent to sev3_pipeline . |
Settings that modify the HTTP requests sent to Elasticsearch.
The memory queue keeps all events in memory.
The memory queue waits for the output to acknowledge or drop events. If the queue is full, no new events can be inserted into the memory queue. Only after the signal from the output will the queue free up space for more events to be accepted.
The memory queue is controlled by the parameters flush.min_events
and flush.timeout
. flush.min_events
gives a limit on the number of events that can be included in a single batch, and flush.timeout
specifies how long the queue should wait to completely fill an event request. If the output supports a bulk_max_size
parameter, the maximum batch size will be the smaller of bulk_max_size
and flush.min_events
.
flush.min_events
is a legacy parameter, and new configurations should prefer to control batch size with bulk_max_size
. As of 8.13, there is never a performance advantage to limiting batch size with flush.min_events
instead of bulk_max_size
.
In synchronous mode, an event request is always filled as soon as events are available, even if there are not enough events to fill the requested batch. This is useful when latency must be minimized. To use synchronous mode, set flush.timeout
to 0.
For backwards compatibility, synchronous mode can also be activated by setting flush.min_events
to 0 or 1. In this case, batch size will be capped at 1/2 the queue capacity.
In asynchronous mode, an event request will wait up to the specified timeout to try and fill the requested batch completely. If the timeout expires, the queue returns a partial batch with all available events. To use asynchronous mode, set flush.timeout
to a positive duration, for example 5s.
This sample configuration forwards events to the output when there are enough events to fill the output’s request (usually controlled by bulk_max_size
, and limited to at most 512 events by flush.min_events
), or when events have been waiting for
queue.mem.events: 4096
queue.mem.flush.min_events: 512
queue.mem.flush.timeout: 5s
Settings that may affect performance when sending data through the Elasticsearch output.
Use the preset
option to automatically configure the group of performance tuning settings to optimize for throughput
, scale
, latency
, or you can select a balanced
set of performance specifications.
The performance tuning preset
values take precedence over any settings that may be defined separately. If you want to change any setting, set preset
to custom
and specify the performance tuning settings individually.
Setting | Description |
---|---|
backoff.init |
(string) The number of seconds to wait before trying to reconnect to Elasticsearch after a network error. After waiting backoff.init seconds, Elastic Agent tries to reconnect. If the attempt fails, the backoff timer is increased exponentially up to backoff.max . After a successful connection, the backoff timer is reset.Default: 1s |
backoff.max |
(string) The maximum number of seconds to wait before attempting to connect to Elasticsearch after a network error. Default: 60s |
bulk_max_size |
(int) The maximum number of events to bulk in a single Elasticsearch bulk API index request. Events can be collected into batches. Elastic Agent will split batches larger than bulk_max_size into multiple batches.Specifying a larger batch size can improve performance by lowering the overhead of sending events. However big batch sizes can also increase processing times, which might result in API errors, killed connections, timed-out publishing requests, and, ultimately, lower throughput. Setting bulk_max_size to values less than or equal to 0 turns off the splitting of batches. When splitting is disabled, the queue decides on the number of events to be contained in a batch.Default: 1600 |
compression_level |
(int) The gzip compression level. Set this value to 0 to disable compression. The compression level must be in the range of 1 (best speed) to 9 (best compression).Increasing the compression level reduces network usage but increases CPU usage. Default: 1 |
max_retries |
(int) The number of times to retry publishing an event after a publishing failure. After the specified number of retries, the events are typically dropped. Set max_retries to a value less than 0 to retry until all events are published.Default: 3 |
preset |
Configures the full group of performance tuning settings to optimize your Elastic Agent performance when sending data to an Elasticsearch output. Refer to Performance tuning settings for a table showing the group of values associated with any preset, and another table showing EPS (events per second) results from testing the different preset options. Performance tuning preset settings: balanced : Configure the default tuning setting values for "out-of-the-box" performance. throughput : Optimize the Elasticsearch output for throughput. scale : Optimize the Elasticsearch output for scale. latency : Optimize the Elasticsearch output to reduce latence. custom : Use the custom option to fine-tune the performance tuning settings individually.Default: balanced |
timeout |
(string) The HTTP request timeout in seconds for the Elasticsearch request. Default: 90s |
worker |
(int) The number of workers per configured host publishing events. Example: If you have two hosts and three workers, in total six workers are started (three for each host). Default: 1 |