Deployment and Maintenance / Guide for Official Raspberry Pi OS Deployment
This document mainly introduces how to run this system on a Raspberry Pi with the official Raspberry Pi OS installed.
Always use the latest version of DataFlux Func for operations
It is recommended to use a wired network connection to the Raspberry Pi during the operation
This article is based on the Raspberry Pi 4B 8GB version for operations. The Raspberry Pi 3B is too weak to run
1. Preparations
Some preparations are needed before installing DataFlux Func on the Raspberry Pi.
1.1 Burning the Raspberry Pi SD Card
It is recommended to use a clean official image to burn the SD card before installing DataFlux Func.
When burning the SD card, you can choose:
-
Use the official
Raspberry Pi Imager
tool for burning -
Directly download the official
Raspberry Pi OS
image and use a third-party tool for burning
After burning, insert the SD card into the Raspberry Pi and power it on.
1.2 Enabling ARM 64-bit Mode
The official Raspberry Pi OS
does not enable 64-bit mode for backward compatibility. However, for products after Raspberry Pi 3B, 64-bit mode can be enabled.
You can use the following command to open the Raspberry Pi configuration:
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And add the following content to enable ARM 64-bit mode:
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Save and restart the Raspberry Pi.
After rebooting, you can confirm with the following command:
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The output should be:
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2. Installing DataFlux Func
The process of installing DataFlux Func on the Raspberry Pi is basically the same as installing it on a regular server.
2.1 Downloading
The downloading operation is the same as on other platforms. Use the following command, and the script will detect the current environment architecture and download the ARM version resources.
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If you need to download the DataFlux Func installation package for the Raspberry Pi on a PC, you need to specify --aarch64 in the download command
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2.2 Installing
After downloading, enter the downloaded directory and execute the following command to install:
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2.3 Initializing the System
After installation, use a browser to open the DataFlux Func initialization page for operations.
- When on the Raspberry Pi itself, access
http://127.0.0.1:8088
- When accessing from another device, access
http://{Raspberry Pi IP}:8088
2.4 Confirming Installation
After installation, log in to the system, go to "Manage / About", and you will see that the "Architecture" is aarch64
:
Subsequent operations are no different from DataFlux Func installed on a regular server.
3. Configuring WI-FI Connection
If you want the Raspberry Pi to connect to the network via WI-FI after installing DataFlux Func, please read this section
After installing DataFlux Func, the WI-FI control panel in the Raspberry Pi taskbar may prompt No wireless interfaces found
, and you may not be able to connect to WI-FI via the UI. Meanwhile, the wired connection can access the network normally.
This issue has been discovered during testing, but the cause is still unclear. However, it does not affect the wired connection
3.1 Fixing the Raspberry Pi WI-FI Issue
To fix this issue, you can open the network configuration:
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Add the following configuration:
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Save and restart the Raspberry Pi.
3.2 Confirming the Fix
Use the following command to confirm the WI-FI module:
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The output should be:
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Use the following command to confirm the WI-FI network connection:
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The output should be:
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Finally, open a browser, and if you can access the internet normally, it means the WI-FI issue has been fixed.
You can also directly use cURL to verify if the network connection is successful:
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Even if the WI-FI issue is fixed, the WI-FI control panel in the taskbar may still display No wireless interfaces found
X. Appendix
Here are some notes related to the Raspberry Pi for reference.
X.1 Maximizing Raspberry Pi Performance
Open the /boot/config.txt
file:
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Add the following content as needed:
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You can use it normally without the above settings, and a metal case alone can achieve passive cooling
This setting involves overclocking. When running at full load, passive cooling with just a metal case is not enough. At least a fan is required
More aggressive configurations can further enhance the performance of the Raspberry Pi, but it will void the warranty
If your Raspberry Pi is damaged due to overclocking, the author of this article is not responsible. Please think twice before proceeding
X.2 Raspberry Pi Stress Testing Tool
You can use the Raspberry Pi stress testing tool to test the stability of the Raspberry Pi (especially after overclocking).
Clone the repository:
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The original author's Github repository address is: github.com/xukejing/rpi-cpu-stress
Add executable permissions:
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Start the stress test:
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Then, you can see the following output in the terminal:
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a72 freq: 2100000
: Indicates the current CPU frequency is 2.1Ghztemp: 50634
: Indicates the temperature is 50.634 degrees Celsius
Do not let the Raspberry Pi stay at high temperatures (above 80 degrees Celsius) for a long time