SpringBoot + MinIO to achieve file slicing and uploading at very high speeds

I. Introduction to MinIO

MinIO is a high-performance distributed object storage service that supports HTTP and HTTPS protocols and is designed for large-scale data. It provides high-performance data storage and retrieval capabilities and supports redundant data storage to ensure data reliability. At the same time, MinIO supports horizontal scaling, which makes it easy to expand storage capacity and processing power, making it ideal for building cloud storage solutions.

Principle of file slicing and uploading

The basic idea of file slicing upload technology is to split a large file into multiple smaller parts (slices), upload these parts separately, and then merge these parts into a complete file on the server side. This upload method can significantly improve the efficiency and speed of large file uploads, and at the same time reduce the network interruptions caused by the retransmission problem.

SpringBoot and MinIO integration

1. environment setup

First, you need to install and run the MinIO service on the server. You can use Docker to quickly deploy MinIO containers, the specific commands are as follows:

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docker pull minio/minio  

docker run -p 9000:9000 -p 9090:9090 --name minio -d --restart=always \  

  -e “MINIO_ACCESS_KEY=YOUR_ACCESS_KEY” -e “MINIO_SECRET_KEY=YOUR_SECRET_KEY” \  

  minio/minio server /data

2. SpringBoot Project Configuration

In the SpringBoot project, you need to add the Java client dependency for MinIO. Add the following dependency in pom.xml:

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<dependency

<groupId>io.minio</groupId

<artifactId>minio</artifactId>

<version>8.8.11</version>

</dependency

Next, create a configuration class to initialize the MinIO client:

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@Configuration

public class MinioConfig {  

@Value(“${minio.endpoint}”)

private String endpoint;  

@Value(“${minio.accessKey}”)

private String accessKey; private String accessKey; @Value(“${minio.accessKey}”)  

@Value(“${minio.secretKey}”)

private String secretKey; @Value(“${minio.secretKey}”)  

@Bean

public MinioClient minioClient() throws Exception {  

return MinioClient.builder()  

                .endpoint(endpoint)  

                .credentials(accessKey, secretKey)  

                .build(); }  

    }  

}

3. Implementation of file slicing upload

In a SpringBoot project, you can create a service class to handle file slice uploads. The following is a simplified example:

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@Service

public class FileUploadService {  

@Autowired

private MinioClient minioClient;  

public void uploadFile(MultipartFile file, String bucketName, String objectName) throws Exception {  

// Slicing logic (example simplified)  

int partSize = 10 * 1024 * 1024; // 10MB  

InputStream stream = file.getInputStream(); long size = file.getSize(); String objectName = String bucketName; String objectName  

long size = file.getSize(); // 10MB InputStream stream = file.getInputStream(); int partCount = (int)  

int partCount = (int) Math.ceil((double) size / partSize); for (int i = 0; i); // 10MB  

for (int i = 0; i < partCount; i++) {  

long start = i * partSize; long end = Math.min()  

long end = Math.min((i + 1) * partSize - 1, size - 1); long length = end - start + 1; long length = end - start + 1; long length = end - start + 1  

long length = end - start + 1; // Upload each part using the MinIO client.  

// Upload each slice using the MinIO client.  

// Note: This is an example only, the upload logic should be implemented according to the MinIO API.  

        }  

// Once all slices have been uploaded, merge the slices (omitted).  

    }  

}

Note: The slice upload and merge logic in the above code needs to be implemented according to the MinIO API.

Summary

Through the integration of SpringBoot and MinIO, we can realize efficient file slicing upload technology. This approach not only improves the speed and efficiency of large file upload, but also enhances the stability of the system and user experience. In the actual application, we also need to consider concurrency control, error handling, state tracking and other details to ensure the robustness and reliability of the system.

I hope this technical sharing will be helpful to you, if you encounter any problems in the actual application, please feel free to communicate and discuss.

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