


With the popularity of containerization technology, Docker has become the preferred platform for the development and deployment of many cloud-native applications. One of the common application scenarios is the interaction between the container and external resources, such as uploading and downloading files, etc. But sometimes when using a Docker container to upload files, you may find that the file stream cannot be read. This article will explore why this happens and how to fix it.
1. Problem description
When I used the Docker container to upload files, I found that the upload was successful, but there was a problem when reading the file stream, and the file stream was empty. I have tried a variety of methods, including using local file reading and remote file reading, but can't solve it. The following is my code example:
import io from datetime import datetime from flask import Flask, request, jsonify app = Flask(__name__) @app.route('/upload', methods=['POST']) def upload_file(): f = request.files['file'] stream = io.StringIO() stream.write(f.stream.read()) stream.seek(0) print(stream.read()) return jsonify({'success': True}) if __name__ == '__main__': app.run(host='0.0.0.0', port=5000, debug=True)
When using the curl
command to upload a file, you can see that the upload is successful, but when reading the file stream it is empty:
$ curl -X POST -F "file=@test.txt" http://localhost:5000/upload {"success": true} $ python app.py 2019-12-26 16:10:10,990 - INFO - * Running on http://0.0.0.0:5000/ (Press CTRL+C to quit) 2019-12-26 16:10:16,930 - INFO -
2. Problem Analysis
Inside the container, you can use the docker cp
command to copy the file to the inside of the container for testing. It can be found that there is no problem with file stream reading. So the problem is obviously not with the code that reads the file stream.
I checked some information and found that Docker will use TempFS as the temporary storage directory for uploaded files when processing uploaded files. The possible reason is that the file system isolation inside the container prevents the uploaded file from being read.
3. Solution
To solve this problem, you need to use any of the three methods:
- Use
--privileged
to run Container
enables privileged mode, that is, uses --privileged
to run the container. This option will give the container root access to the host.
$ docker run --privileged -d -p 5000:5000 my-image
- Use
--tmpfs /path/to/tmpfs:rw
option
Use --tmpfs
mount The temporary file system ensures that uploaded files can be read correctly.
$ docker run -d -p 5000:5000 --tmpfs /tmp:rw my-image
- Directly mount the local directory to the container
Directly mount the directory in the host file system to a certain path of the container, which can make it possible both inside and outside the container Uploaded files are read correctly.
$ docker run -d -p 5000:5000 -v /path/to/host/drive:/path/to/container/drive my-image
Use any of the above methods and upload the test again. You can see that both uploading and reading the file stream are successful:
$ curl -X POST -F "file=@test.txt" http://localhost:5000/upload {"success": true} $ python app.py 2019-12-26 16:55:01,697 - INFO - * Running on http://0.0.0.0:5000/ (Press CTRL+C to quit) 2019-12-26 16:55:03,428 - INFO - This is a test file.
In short, Docker’s file system isolation mechanism sometimes causes files to be uploaded. It cannot be read correctly, but there are three solutions above. I hope this article can help you with the problems you encounter when using Docker applications.
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Docker simplifies application deployment and management on Linux. 1) Docker is a containerized platform that packages applications and their dependencies into lightweight and portable containers. 2) On Linux, Docker uses cgroups and namespaces to implement container isolation and resource management. 3) Basic usages include pulling images and running containers. Advanced usages such as DockerCompose can define multi-container applications. 4) Debug commonly used dockerlogs and dockerexec commands. 5) Performance optimization can reduce the image size through multi-stage construction, and keeping the Dockerfile simple is the best practice.

Docker is a Linux container technology-based tool used to package, distribute and run applications to improve application portability and scalability. 1) Dockerbuild and dockerrun commands can be used to build and run Docker containers. 2) DockerCompose is used to define and run multi-container Docker applications to simplify microservice management. 3) Using multi-stage construction can optimize the image size and improve the application startup speed. 4) Viewing container logs is an effective way to debug container problems.

Docker container startup steps: Pull the container image: Run "docker pull [mirror name]". Create a container: Use "docker create [options] [mirror name] [commands and parameters]". Start the container: Execute "docker start [Container name or ID]". Check container status: Verify that the container is running with "docker ps".

The methods to view Docker logs include: using the docker logs command, for example: docker logs CONTAINER_NAME Use the docker exec command to run /bin/sh and view the log file, for example: docker exec -it CONTAINER_NAME /bin/sh ; cat /var/log/CONTAINER_NAME.log Use the docker-compose logs command of Docker Compose, for example: docker-compose -f docker-com

You can query the Docker container name by following the steps: List all containers (docker ps). Filter the container list (using the grep command). Gets the container name (located in the "NAMES" column).

Create a container in Docker: 1. Pull the image: docker pull [mirror name] 2. Create a container: docker run [Options] [mirror name] [Command] 3. Start the container: docker start [Container name]

Four ways to exit Docker container: Use Ctrl D in the container terminal Enter exit command in the container terminal Use docker stop <container_name> Command Use docker kill <container_name> command in the host terminal (force exit)

Methods for copying files to external hosts in Docker: Use the docker cp command: Execute docker cp [Options] <Container Path> <Host Path>. Using data volumes: Create a directory on the host, and use the -v parameter to mount the directory into the container when creating the container to achieve bidirectional file synchronization.


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