TCP
The tcp input plugin allows to retrieve structured JSON or raw messages over a TCP network interface (TCP port).
Configuration Parameters
The plugin supports the following configuration parameters:
Key | Description | Default |
Listen | Listener network interface. | 0.0.0.0 |
Port | TCP port where listening for connections | 5170 |
Buffer_Size | Specify the maximum buffer size in KB to receive a JSON message. If not set, the default size will be the value of Chunk_Size. | |
Chunk_Size | By default the buffer to store the incoming JSON messages, do not allocate the maximum memory allowed, instead it allocate memory when is required. The rounds of allocations are set by Chunk_Size in KB. If not set, Chunk_Size is equal to 32 (32KB). | 32 |
Format | Specify the expected payload format. It support the options json and none. When using json, it expects JSON maps, when is set to none, it will split every record using the defined Separator (option below). | json |
Separator | When the expected Format is set to none, Fluent Bit needs a separator string to split the records. By default it uses the breakline character | \n |
Getting Started
In order to receive JSON messages over TCP, you can run the plugin from the command line or through the configuration file:
Command Line
From the command line you can let Fluent Bit listen for JSON messages with the following options:
By default the service will listen an all interfaces (0.0.0.0) through TCP port 5170, optionally you can change this directly, e.g:
In the example the JSON messages will only arrive through network interface under 192.168.3.2 address and TCP Port 9090.
Configuration File
In your main configuration file append the following Input & Output sections:
Testing
Once Fluent Bit is running, you can send some messages using the netcat:
In Fluent Bit we should see the following output:
Performance Considerations
When receiving payloads in JSON format, there are high performance penalties. Parsing JSON is a very expensive task so you could expect your CPU usage increase under high load environments.
To get faster data ingestion, consider to use the option Format none
to avoid JSON parsing if not needed.
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