Elasticsearch
Send logs to Elasticsearch (including Amazon OpenSearch Service)
The es output plugin, allows to ingest your records into an 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 |
compress | Set payload compression mechanism. Option available is 'gzip' | |
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. | 512KB |
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 OpenSearch Service | Off |
AWS_Region | Specify the AWS region for Amazon OpenSearch Service | |
AWS_STS_Endpoint | Specify the custom sts endpoint to be used with STS API for Amazon OpenSearch Service | |
AWS_Role_ARN | AWS IAM Role to assume to put records to your Amazon cluster | |
AWS_External_ID | External ID for the AWS IAM Role specified with | |
AWS_Service_Name | Service name to be used in AWS Sigv4 signature. For integration with Amazon OpenSearch Serverless, set to | es |
AWS_Profile | AWS profile name | default |
Cloud_ID | If you are using Elastic's Elasticsearch Service you can specify the cloud_id of the cluster running. The Cloud ID string has the format | |
Cloud_Auth | Specify the credentials to use to connect to Elastic's Elasticsearch Service running on Elastic Cloud | |
HTTP_User | Optional username credential for Elastic X-Pack access | |
HTTP_Passwd | Password for user defined in HTTP_User | |
Index | Index name | fluent-bit |
Type | Type name | _doc |
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_Prefix_Key | When included: the value of the key in the record will be evaluated as key reference and overrides 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. The parameter is expected to be a record accessor. | |
Logstash_Prefix_Separator | Set a separator between logstash_prefix and date. | - |
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 |
Time_Key_Nanos | When Logstash_Format is enabled, enabling this property sends nanosecond precision timestamps. | Off |
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 | Off |
Id_Key | If set, | |
Write_Operation | The write_operation can be any of: create (default), index, update, upsert. | create |
Replace_Dots | When enabled, replace field name dots with underscore, required by Elasticsearch 2.0-2.3. | Off |
Trace_Output | Print all elasticsearch API request payloads to stdout (for diag only) | Off |
Trace_Error | If elasticsearch return an error, print the elasticsearch API request and response (for diag only) | Off |
Current_Time_Index | Use current time for index generation instead of message record | Off |
Suppress_Type_Name | When enabled, mapping types is removed and | Off |
Workers | The number of workers to perform flush operations for this output. |
|
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 TLS/SSL, for more details about the properties available and general configuration, please refer to the TLS/SSL section.
write_operation
The write_operation can be any of:
Operation | Description |
---|---|
create (default) | adds new data - if the data already exists (based on its id), the op is skipped. |
index | new data is added while existing data (based on its id) is replaced (reindexed). |
update | updates existing data (based on its id). If no data is found, the op is skipped. |
upsert | known as merge or insert if the data does not exist, updates if the data exists (based on its id). |
Please note, Id_Key
or Generate_ID
is required in update, and upsert scenario.
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:
Using the format specified, you could start Fluent Bit through:
which is similar to do:
Configuration File
In your main configuration file append the following Input & Output sections. You can visualize this configuration here
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:
becomes
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.
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.
Elasticsearch rejects requests saying "Document mapping type name can't start with '_'"
Fluent Bit v1.5 changed the default mapping type from flb_type
to _doc
, which matches the recommendation from Elasticsearch from version 6.2 forwards (see commit with rationale). This doesn't work in Elasticsearch versions 5.6 through 6.1 (see Elasticsearch discussion and fix). Ensure you set an explicit map (such as doc
or flb_type
) in the configuration, as seen on the last line:
Fluent Bit + Amazon OpenSearch Service
The Amazon OpenSearch Service adds an extra security layer where HTTP requests must be signed with AWS Sigv4. Fluent Bit v1.5 introduced full support for Amazon OpenSearch Service with IAM Authentication.
See here for details on how AWS credentials are fetched.
Example configuration:
Notice that the Port
is set to 443
, tls
is enabled, and AWS_Region
is set.
Fluent Bit + Elastic Cloud
Fluent Bit supports connecting to Elastic Cloud providing just the cloud_id
and the cloud_auth
settings. cloud_auth
uses the elastic
user and password provided when the cluster was created, for details refer to the Cloud ID usage page.
Example configuration:
Validation Failed: 1: an id must be provided if version type or value are set
Since v1.8.2, Fluent Bit started using create
method (instead of index
) for data submission. This makes Fluent Bit compatible with Datastream introduced in Elasticsearch 7.9.
If you see action_request_validation_exception
errors on your pipeline with Fluent Bit >= v1.8.2, you can fix it up by turning on Generate_ID
as follows:
Action/metadata contains an unknown parameter type
Elastic Cloud is now on version 8 so the type option must be removed by setting Suppress_Type_Name On
as indicated above.
Without this you will see errors like:
Logstash_Prefix_Key
The following snippet demonstrates using the namespace name as extracted by the kubernetes
filter as logstash prefix:
For records that do nor have the field kubernetes.namespace_name
, the default prefix, logstash
will be used.
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