How to use Go language for real-time data collection?

With the continuous development of Internet of Things technology, real-time data collection has become an indispensable part of the digital era. Among various programming languages, Go language has become an ideal choice for real-time data collection due to its efficient concurrency performance and concise syntax. This article will introduce how to use Go language for real-time data collection.

1. Selection of data collection framework

Before using Go language for real-time data collection, we need to choose a data collection framework that suits us. The more popular data collection frameworks currently on the market include Logstash, Fluentd, Filebeat, etc. In order to better use the Go language for real-time data collection, we can choose to use Fluent-bit, a lightweight tool developed specifically for data collection.

The main feature of Fluent-bit is its efficient data collection and processing capabilities. At the same time, Fluent-bit is developed in C language, which allows it to provide an API compatible with Go language. Therefore, when using Go language for real-time data collection, choosing Fluent-bit as the data collection framework will be a very good choice.

2. Implementation of data collection

1. Preparation work

Before using Go language for real-time data collection, we need to install Fluent-bit and Go language related dependency packages.

To install Fluent-bit on Ubuntu, you can use the following command:

sudo apt-get install fluent-bit

To install Fluent-bit on Windows, please go to the official website to download and install package to install.

To use Go language for real-time data collection, we need to install the fluent-bit-go Go language plug-in package. We can use the following command to install:

go get github.com/fluent/fluent-bit-go/output

2. Write a data collection program

First, we need to import the corresponding package of fluent-bit-go in the Go language:

import (
    "C"
    "unsafe"

    "github.com/fluent/fluent-bit-go/output"
)

Then, we need to define a type named FluentBitOutput to process the output data:

type FluentBitOutput struct {
    config map[string]string
}

Connect Next, we need to implement the Init and Uninit methods of FluentBitOutput. These two methods are called at initialization and end respectively:

//export FLBPluginInit
func FLBPluginInit(config unsafe.Pointer) int {
    conf := output.FLBConfig{}
    output.FLBPluginConfigKey("Tag", &conf)
    output.FLBPluginConfigKey("Host", &conf)
    output.FLBPluginConfigKey("Port", &conf)

    return output.FLBPluginRegister(ctx, "fluentbit-go", "Go output plugin for Fluent Bit", &conf)
}

//export FLBPluginUninit
func FLBPluginUninit() int {
    return output.FLB_OK
}

Note: output.FLB_OK in the above code is the success identifier provided by Fluent-bit .

Finally, we need to implement a method called FLBPluginFlush, which will be called every time Fluent-bit sends data to the output plug-in.

//export FLBPluginFlush
func FLBPluginFlush(data unsafe.Pointer, length C.int, tag *C.char) int {
    dataBytes := C.GoBytes(data, length)
    tagString := C.GoString(tag)

    // 对数据进行处理...

    return output.FLB_OK
}

In the FLBPluginFlush method, we first need to convert data to []byte type, and tag needs to be converted to string type using the C.GoString method. In this way, we can process the data accordingly during the data collection process.

3. Data collection configuration

In order to enable our data collection program, we need to add a corresponding plug-in configuration item in the Fluent-bit configuration file.

[OUTPUT]
driver = exec
command = /usr/bin/fluent-bit-go.out

Among them, we need to set the driver to exec, which means we use external commands to execute the Fluent-bit program. command needs to be set to the program path of our Go language to implement data collection. In the above example, we assume that the program is located at /usr/bin/fluent-bit-go.out.

Finally, start the Fluent-bit service to enable our data collection program.

Summary

Using Go language for real-time data collection can make the data collection process more efficient and practical. Choosing Fluent-bit as the data collection framework can also make data collection more stable and reliable. Through the introduction of this article, I believe that you have mastered the relevant knowledge on how to use the Go language for real-time data collection. I hope this will be helpful to your work and study.

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