Elasticsearch

The es output plugin, allows to ingest your records into a Elasticsearch database. The following instructions assumes that you have a fully operational Elasticsearch service running in your environment.
Configuration Parameters
Key
Description
default
Host
IP address or hostname of the target Elasticsearch instance
127.0.0.1
Port
TCP port of the target Elasticsearch instance
9200
Path
Elasticsearch accepts new data on HTTP query path "/_bulk". But it is also possible to serve Elasticsearch behind a reverse proxy on a subpath. This option defines such path on the fluent-bit side. It simply adds a path prefix in the indexing HTTP POST URI.
Empty string
Buffer_Size
Specify the buffer size used to read the response from the Elasticsearch HTTP service. This option is useful for debugging purposes where is required to read full responses, note that response size grows depending of the number of records inserted. To set an unlimited amount of memory set this value to False, otherwise the value must be according to the Unit Size specification.
4KB
Pipeline
Newer versions of Elasticsearch allows to setup filters called pipelines. This option allows to define which pipeline the database should use. For performance reasons is strongly suggested to do parsing and filtering on Fluent Bit side, avoid pipelines.
​
AWS_Auth
Enable AWS Sigv4 Authentication for Amazon ElasticSearch Service
Off
AWS_Region
Specify the AWS region for Amazon ElasticSearch Service
​
HTTP_User
Optional username credential for Elastic X-Pack access
​
HTTP_Passwd
Password for user defined in HTTP_User
​
Index
Index name
fluentbit
Type
Type name
flb_type
Logstash_Format
Enable Logstash format compatibility. This option takes a boolean value: True/False, On/Off
Off
Logstash_Prefix
When Logstash_Format is enabled, the Index name is composed using a prefix and the date, e.g: If Logstash_Prefix is equals to 'mydata' your index will become 'mydata-YYYY.MM.DD'. The last string appended belongs to the date when the data is being generated.
logstash
Logstash_DateFormat
Time format (based on strftime) to generate the second part of the Index name.
%Y.%m.%d
Time_Key
When Logstash_Format is enabled, each record will get a new timestamp field. The Time_Key property defines the name of that field.
@timestamp
Time_Key_Format
When Logstash_Format is enabled, this property defines the format of the timestamp.
%Y-%m-%dT%H:%M:%S
Include_Tag_Key
When enabled, it append the Tag name to the record.
Off
Tag_Key
When Include_Tag_Key is enabled, this property defines the key name for the tag.
_flb-key
Generate_ID
When enabled, generate _id for outgoing records. This prevents duplicate records when retrying ES.
Off
Replace_Dots
When enabled, replace field name dots with underscore, required by Elasticsearch 2.0-2.3.
Off
Trace_Output
When enabled print the elasticsearch API calls to stdout (for diag only)
Off
Current_Time_Index
Use current time for index generation instead of message record
Off
Logstash_Prefix_Key
When included: the value in the record that belongs to the key will be looked up and over-write the Logstash_Prefix for index generation. If the key/value is not found in the record then the Logstash_Prefix option will act as a fallback. Nested keys are not supported (if desired, you can use the nest filter plugin to remove nesting)
​
The parameters index and type can be confusing if you are new to Elastic, if you have used a common relational database before, they can be compared to the database and table concepts. Also see the FAQ below​
TLS / SSL
Elasticsearch output plugin supports TTL/SSL, for more details about the properties available and general configuration, please refer to the TLS/SSL section.
Getting Started
In order to insert records into a Elasticsearch service, you can run the plugin from the command line or through the configuration file:
Command Line
The es plugin, can read the parameters from the command line in two ways, through the -p argument (property) or setting them directly through the service URI. The URI format is the following:
es://host:port/index/type
Using the format specified, you could start Fluent Bit through:
$ fluent-bit -i cpu -t cpu -o es://192.168.2.3:9200/my_index/my_type \
    -o stdout -m '*'
which is similar to do:
$ fluent-bit -i cpu -t cpu -o es -p Host=192.168.2.3 -p Port=9200 \
    -p Index=my_index -p Type=my_type -o stdout -m '*'
Configuration File
In your main configuration file append the following Input & Output sections:
[INPUT]
    Name  cpu
    Tag   cpu
​
[OUTPUT]
    Name  es
    Match *
    Host  192.168.2.3
    Port  9200
    Index my_index
    Type  my_type
About Elasticsearch field names
Some input plugins may generate messages where the field names contains dots, since Elasticsearch 2.0 this is not longer allowed, so the current es plugin replaces them with an underscore, e.g:
{"cpu0.p_cpu"=>17.000000}
becomes
{"cpu0_p_cpu"=>17.000000}
FAQ
Elasticsearch rejects requests saying "the final mapping would have more than 1 type"
Since Elasticsearch 6.0, you cannot create multiple types in a single index. This means that you cannot set up your configuration as below anymore.
[OUTPUT]
    Name  es
    Match foo.*
    Index search
    Type  type1
​
[OUTPUT]
    Name  es
    Match bar.*
    Index search
    Type  type2
If you see an error message like below, you'll need to fix your configuration to use a single type on each index.
Rejecting mapping update to [search] as the final mapping would have more than 1 type
For details, please read the official blog post on that issue.
Fluent Bit + Amazon Elasticsearch
Amazon ElasticSearch Service adds an extra security layer where HTTP requests must be signed with AWS Sigv4. Fluent Bit v1.4 introduces experimental support for Amazon ElasticSearch Service.
To use Amazon ElasticSearch Service, you must specify credentials as environment variables:
export AWS_ACCESS_KEY_ID="your-access-key"
export AWS_SECRET_ACCESS_KEY="your-secret-key"
export AWS_SESSION_TOKEN="your-session-token"
While it is generally considered safe to set credentials as environment variables, the best practice is to obtain credentials from one of the standard AWS sources (for example, an Amazon EKS IAM Role for a Service Account). Consequently, this feature may not be suitable for production workloads. Fluent Bit and AWS are working together to bring full support for all standard AWS credential sources in Fluent Bit v1.5.
Example configuration:
[OUTPUT]
    Name  es
    Match *
    Host  vpc-test-domain-ke7thhzoo7jawsrhmm6mb7ite7y.us-west-2.es.amazonaws.com
    Port  443
    Index my_index
    Type  my_type
    AWS_Auth On
    AWS_Region us-west-2
    tls     On
Notice that the Port is set to 443, and that tls is enabled.
If this feature does not yet meet your needs, you can use the following proxy as an alternative workaround:
​https://github.com/abutaha/aws-es-proxy​
More details about AWS Sigv4 and ElasticSearch can be found here:
​https://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/es-request-signing.html​

Datadog

File

Last updated 1 week ago

Key	Description	default
Host	IP address or hostname of the target Elasticsearch instance	127.0.0.1
Port	TCP port of the target Elasticsearch instance	9200
Path	Elasticsearch accepts new data on HTTP query path "/_bulk". But it is also possible to serve Elasticsearch behind a reverse proxy on a subpath. This option defines such path on the fluent-bit side. It simply adds a path prefix in the indexing HTTP POST URI.	Empty string
Buffer_Size	Specify the buffer size used to read the response from the Elasticsearch HTTP service. This option is useful for debugging purposes where is required to read full responses, note that response size grows depending of the number of records inserted. To set an unlimited amount of memory set this value to False, otherwise the value must be according to the Unit Size specification.	4KB
Pipeline	Newer versions of Elasticsearch allows to setup filters called pipelines. This option allows to define which pipeline the database should use. For performance reasons is strongly suggested to do parsing and filtering on Fluent Bit side, avoid pipelines.
AWS_Auth	Enable AWS Sigv4 Authentication for Amazon ElasticSearch Service	Off
AWS_Region	Specify the AWS region for Amazon ElasticSearch Service
HTTP_User	Optional username credential for Elastic X-Pack access
HTTP_Passwd	Password for user defined in HTTP_User
Index	Index name	fluentbit
Type	Type name	flb_type
Logstash_Format	Enable Logstash format compatibility. This option takes a boolean value: True/False, On/Off	Off
Logstash_Prefix	When Logstash_Format is enabled, the Index name is composed using a prefix and the date, e.g: If Logstash_Prefix is equals to 'mydata' your index will become 'mydata-YYYY.MM.DD'. The last string appended belongs to the date when the data is being generated.	logstash
Logstash_DateFormat	Time format (based on strftime) to generate the second part of the Index name.	%Y.%m.%d
Time_Key	When Logstash_Format is enabled, each record will get a new timestamp field. The Time_Key property defines the name of that field.	@timestamp
Time_Key_Format	When Logstash_Format is enabled, this property defines the format of the timestamp.	%Y-%m-%dT%H:%M:%S
Include_Tag_Key	When enabled, it append the Tag name to the record.	Off
Tag_Key	When Include_Tag_Key is enabled, this property defines the key name for the tag.	_flb-key
Generate_ID	When enabled, generate `_id` for outgoing records. This prevents duplicate records when retrying ES.	Off
Replace_Dots	When enabled, replace field name dots with underscore, required by Elasticsearch 2.0-2.3.	Off
Trace_Output	When enabled print the elasticsearch API calls to stdout (for diag only)	Off
Current_Time_Index	Use current time for index generation instead of message record	Off
Logstash_Prefix_Key	When included: the value in the record that belongs to the key will be looked up and over-write the Logstash_Prefix for index generation. If the key/value is not found in the record then the Logstash_Prefix option will act as a fallback. Nested keys are not supported (if desired, you can use the nest filter plugin to remove nesting)