How to use Java and Qiniu Cloud KODO to build a big data storage platform
Introduction:
With the advent of the big data era, data processing and storage have become important challenges faced by various enterprises and organizations. Building an efficient and reliable big data storage platform has become an urgent problem to be solved. This article will introduce how to use Java programming language combined with Qiniu Cloud KODO to build a high-performance big data storage platform.
<dependency> <groupId>com.qiniu</groupId> <artifactId>qiniu-java-sdk</artifactId> <version>7.4.0</version> </dependency>
import com.qiniu.storage.BucketManager; import com.qiniu.storage.Configuration; import com.qiniu.storage.model.DefaultPutRet; import com.qiniu.util.Auth; public class BucketManagerExample { public static void main(String[] args) { String accessKey = "your-accessKey"; String secretKey = "your-secretKey"; String bucket = "your-bucket"; Configuration cfg = new Configuration(); Auth auth = Auth.create(accessKey, secretKey); BucketManager bucketManager = new BucketManager(auth, cfg); try { bucketManager.createBucket(bucket, null); System.out.println("Bucket created successfully!"); } catch (Exception e) { e.printStackTrace(); } } }
In the code, you need to replace your-accessKey
, your-secretKey
and your -bucket
is the accessKey, secretKey and bucket name of your own Qiniuyun KODO.
import com.qiniu.storage.Configuration; import com.qiniu.storage.UploadManager; import com.qiniu.util.Auth; public class UploadExample { public static void main(String[] args) { String accessKey = "your-accessKey"; String secretKey = "your-secretKey"; String bucket = "your-bucket"; String localFilePath = "/path/to/local/file/test.txt"; String key = "test.txt"; Configuration cfg = new Configuration(); Auth auth = Auth.create(accessKey, secretKey); UploadManager uploadManager = new UploadManager(cfg); try { String upToken = auth.uploadToken(bucket); Response response = uploadManager.put(localFilePath, key, upToken); DefaultPutRet putRet = new Gson().fromJson(response.bodyString(), DefaultPutRet.class); System.out.println("File uploaded successfully! File key: " + putRet.key); } catch (Exception e) { e.printStackTrace(); } } }
In the code, you need to replace your-accessKey
, your-secretKey
, your-bucket
and /path/to/local/file/test.txt
are your own accessKey, secretKey, bucket name and local file path of Qiniu Cloud KODO.
import com.qiniu.storage.BucketManager; import com.qiniu.storage.Configuration; import com.qiniu.util.Auth; public class DownloadExample { public static void main(String[] args) { String accessKey = "your-accessKey"; String secretKey = "your-secretKey"; String bucket = "your-bucket"; String key = "test.txt"; String localFilePath = "/path/to/local/file/test.txt"; Configuration cfg = new Configuration(); Auth auth = Auth.create(accessKey, secretKey); BucketManager bucketManager = new BucketManager(auth, cfg); try { bucketManager.download(bucket, key, new File(localFilePath)); System.out.println("File downloaded successfully! Local file path: " + localFilePath); } catch (Exception e) { e.printStackTrace(); } } }
In the code, you need to replace your-accessKey
, your-secretKey
, your-bucket
and test.txt
are your own accessKey, secretKey, bucket name and file name of Qiniu Cloud KODO. At the same time, you also need to replace /path/to/local/file/test.txt
with the local file path you want to save.
Conclusion:
Through the above steps, we successfully built an efficient and reliable big data storage platform using Java programming language combined with Qiniu Cloud KODO. We can easily upload and download files, and manage storage space through Qiniu Cloud KODO's API. I hope this article can be helpful to everyone when building your own big data storage platform.
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