【Azure 存储服务】使用 AppendBlobClient 对象实现对Blob进行追加内容操作-Toy模板网

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问题描述

在Azure Blob的官方示例中，都是对文件进行上传到Blob操作，没有实现对已创建的Blob进行追加的操作。如果想要实现对一个文件的多次追加操作，每一次写入的时候，只传入新的内容？

问题解答

Azure Storage Blob 有三种类型： Block Blob, Append Blob 和 Page Blob。其中，只有Append Blob类型支持追加(Append)操作。并且Blob类型在创建时就已经确定，无法后期修改。

【Azure 存储服务】使用 AppendBlobClient 对象实现对Blob进行追加内容操作

在查看Java Storage SDK后，发现可以使用AppendBlobClient来实现。

    /**
     * Creates a new {@link AppendBlobClient} associated with this blob.
     *
     * @return A {@link AppendBlobClient} associated with this blob.
     */
    public AppendBlobClient getAppendBlobClient() {
        return new SpecializedBlobClientBuilder()
            .blobClient(this)
            .buildAppendBlobClient();
    }

在 AppendBlobClient 类，有 appendBlock 和 appendBlockWithResponse 等多种方法来实现追加。方法定义源码如下：

【Azure 存储服务】使用 AppendBlobClient 对象实现对Blob进行追加内容操作

    /**
     * Commits a new block of data to the end of the existing append blob.
     * <p>
     * Note that the data passed must be replayable if retries are enabled (the default). In other words, the
     * {@code Flux} must produce the same data each time it is subscribed to.
     *
     * <p><strong>Code Samples</strong></p>
     *
     * {@codesnippet com.azure.storage.blob.specialized.AppendBlobClient.appendBlock#InputStream-long}
     *
     * @param data The data to write to the blob. The data must be markable. This is in order to support retries. If
     * the data is not markable, consider using {@link #getBlobOutputStream()} and writing to the returned OutputStream.
     * Alternatively, consider wrapping your data source in a {@link java.io.BufferedInputStream} to add mark support.
     * @param length The exact length of the data. It is important that this value match precisely the length of the
     * data emitted by the {@code Flux}.
     * @return The information of the append blob operation.
     */
    @ServiceMethod(returns = ReturnType.SINGLE)
    public AppendBlobItem appendBlock(InputStream data, long length) {
        return appendBlockWithResponse(data, length, null, null, null, Context.NONE).getValue();
    }

    /**
     * Commits a new block of data to the end of the existing append blob.
     * <p>
     * Note that the data passed must be replayable if retries are enabled (the default). In other words, the
     * {@code Flux} must produce the same data each time it is subscribed to.
     *
     * <p><strong>Code Samples</strong></p>
     *
     * {@codesnippet com.azure.storage.blob.specialized.AppendBlobClient.appendBlockWithResponse#InputStream-long-byte-AppendBlobRequestConditions-Duration-Context}
     *
     * @param data The data to write to the blob. The data must be markable. This is in order to support retries. If
     * the data is not markable, consider using {@link #getBlobOutputStream()} and writing to the returned OutputStream.
     * Alternatively, consider wrapping your data source in a {@link java.io.BufferedInputStream} to add mark support.
     * @param length The exact length of the data. It is important that this value match precisely the length of the
     * data emitted by the {@code Flux}.
     * @param contentMd5 An MD5 hash of the block content. This hash is used to verify the integrity of the block during
     * transport. When this header is specified, the storage service compares the hash of the content that has arrived
     * with this header value. Note that this MD5 hash is not stored with the blob. If the two hashes do not match, the
     * operation will fail.
     * @param appendBlobRequestConditions {@link AppendBlobRequestConditions}
     * @param timeout An optional timeout value beyond which a {@link RuntimeException} will be raised.
     * @param context Additional context that is passed through the Http pipeline during the service call.
     * @return A {@link Response} whose {@link Response#getValue() value} contains the append blob operation.
     * @throws UnexpectedLengthException when the length of data does not match the input {@code length}.
     * @throws NullPointerException if the input data is null.
     */
    @ServiceMethod(returns = ReturnType.SINGLE)
    public Response<AppendBlobItem> appendBlockWithResponse(InputStream data, long length, byte[] contentMd5,
        AppendBlobRequestConditions appendBlobRequestConditions, Duration timeout, Context context) {
        Objects.requireNonNull(data, "'data' cannot be null.");
        Flux<ByteBuffer> fbb = Utility.convertStreamToByteBuffer(data, length, MAX_APPEND_BLOCK_BYTES, true);
        Mono<Response<AppendBlobItem>> response = appendBlobAsyncClient.appendBlockWithResponse(
            fbb.subscribeOn(Schedulers.elastic()), length, contentMd5, appendBlobRequestConditions, context);
        return StorageImplUtils.blockWithOptionalTimeout(response, timeout);
    }

View Code

代码实现

第一步: 在Java项目 pom.xml 中引入Azure Storage Blob依赖

    <dependency>
      <groupId>com.azure</groupId>
      <artifactId>azure-storage-blob</artifactId>
      <version>12.13.0</version>
    </dependency>

第二步: 引入必要的 Storage 类

import java.io.ByteArrayInputStream; 
import java.io.IOException;
import java.io.InputStream;
import java.net.URISyntaxException;
import java.nio.charset.StandardCharsets;
import java.security.InvalidKeyException;
import java.security.MessageDigest;
import java.security.NoSuchAlgorithmException; 
import java.time.LocalTime; 
import com.azure.core.http.rest.Response; 
import com.azure.storage.blob.BlobContainerClient;
import com.azure.storage.blob.BlobServiceClient;
import com.azure.storage.blob.BlobServiceClientBuilder;
import com.azure.storage.blob.models.AppendBlobItem;
import com.azure.storage.blob.models.AppendBlobRequestConditions; 
import com.azure.storage.blob.specialized.AppendBlobClient;

第三步：创建 AppendBlobClient 对象，使用 BlobServiceClient 及连接字符串(Connection String)

        String storageConnectionString = "DefaultEndpointsProtocol=https;AccountName=*****;AccountKey=*******;EndpointSuffix=core.chinacloudapi.cn";

                String containerName = "appendblob";
                String fileName = "test.txt";
                // Create a BlobServiceClient object which will be used to create a container
                System.out.println("\nCreate a BlobServiceClient Object to Connect Storage Account");
                BlobServiceClient blobServiceClient = new BlobServiceClientBuilder()
                                .connectionString(storageConnectionString)
                                .buildClient();

                BlobContainerClient containerClient = blobServiceClient.getBlobContainerClient(containerName);
                if (!containerClient.exists())
                        containerClient.create();

                // Get a reference to a blob
                AppendBlobClient appendBlobClient = containerClient.getBlobClient(fileName).getAppendBlobClient();

第四步：调用 appendBlockWithResponse 方法追加内容，并根据返回状态码判断是否追加成功

                boolean overwrite = true; // Default value
                if (!appendBlobClient.exists())
                        System.out.printf("Created AppendBlob at %s%n",
                                        appendBlobClient.create(overwrite).getLastModified());


                String data = "Test to append new content into exists blob! by blogs lu bian liang zhan deng @"
                                + LocalTime.now().toString() + "\n";
                InputStream inputStream = new ByteArrayInputStream(data.getBytes(StandardCharsets.UTF_8));
                byte[] md5 = MessageDigest.getInstance("MD5").digest(data.getBytes(StandardCharsets.UTF_8));
                AppendBlobRequestConditions requestConditions = new AppendBlobRequestConditions();

                // Context context = new Context("key", "value");
                long length = data.getBytes().length;

                Response<AppendBlobItem> rsp = appendBlobClient.appendBlockWithResponse(inputStream, length, md5,
                                requestConditions, null, null);

                if (rsp.getStatusCode() == 201) {
                        System.out.println("append content successful........");
                }

运行结果展示

【Azure 存储服务】使用 AppendBlobClient 对象实现对Blob进行追加内容操作

但如果操作的Blob类型不是Append Blob，就会遇见错误 Status code 409 ---- The blob type is invalid for this operation 错误

Exception in thread "main" com.azure.storage.blob.models.BlobStorageException: Status code 409, "
<?xml version="1.0" encoding="utf-8"?><Error>><Code>InvalidBlobType</Code>
<Message>The blob type is invalid for this operation.
RequestId:501ee0b9-301e-0003-4f7b-829ca6000000
Time:2023-05-09T13:37:17.7509942Z</Message></Error>"
        at java.base/jdk.internal.reflect.DirectConstructorHandleAccessor.newInstance(DirectConstructorHandleAccessor.java:67)
        at java.base/java.lang.reflect.Constructor.newInstanceWithCaller(Constructor.java:500)
        at java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:484)
        at com.azure.core.http.rest.RestProxy.instantiateUnexpectedException(RestProxy.java:343)
        at com.azure.core.http.rest.RestProxy.lambda$ensureExpectedStatus$5(RestProxy.java:382)
        at reactor.core.publisher.MonoFlatMap$FlatMapMain.onNext(MonoFlatMap.java:125)
        at reactor.core.publisher.Operators$MonoSubscriber.complete(Operators.java:1815)
        at reactor.core.publisher.MonoCacheTime$CoordinatorSubscriber.signalCached(MonoCacheTime.java:337)
        at reactor.core.publisher.MonoCacheTime$CoordinatorSubscriber.onNext(MonoCacheTime.java:354)
        at reactor.core.publisher.Operators$ScalarSubscription.request(Operators.java:2397)
        at reactor.core.publisher.MonoCacheTime$CoordinatorSubscriber.onSubscribe(MonoCacheTime.java:293)
        at reactor.core.publisher.FluxFlatMap.trySubscribeScalarMap(FluxFlatMap.java:192)
        at reactor.core.publisher.MonoFlatMap.subscribeOrReturn(MonoFlatMap.java:53)
        at reactor.core.publisher.InternalMonoOperator.subscribe(InternalMonoOperator.java:57)
        at reactor.core.publisher.MonoDefer.subscribe(MonoDefer.java:52)
        at reactor.core.publisher.MonoCacheTime.subscribeOrReturn(MonoCacheTime.java:143)
        at reactor.core.publisher.InternalMonoOperator.subscribe(InternalMonoOperator.java:57)
        at reactor.core.publisher.MonoFlatMap$FlatMapMain.onNext(MonoFlatMap.java:157)
        at reactor.core.publisher.FluxDoFinally$DoFinallySubscriber.onNext(FluxDoFinally.java:130)
        at reactor.core.publisher.FluxHandle$HandleSubscriber.onNext(FluxHandle.java:118)
        at reactor.core.publisher.FluxMap$MapConditionalSubscriber.onNext(FluxMap.java:220)
        at reactor.core.publisher.FluxDoFinally$DoFinallySubscriber.onNext(FluxDoFinally.java:130)
        at reactor.core.publisher.FluxHandleFuseable$HandleFuseableSubscriber.onNext(FluxHandleFuseable.java:184)
        at reactor.core.publisher.FluxContextWrite$ContextWriteSubscriber.onNext(FluxContextWrite.java:107)
        at reactor.core.publisher.Operators$MonoSubscriber.complete(Operators.java:1815)
        at reactor.core.publisher.MonoCollectList$MonoCollectListSubscriber.onComplete(MonoCollectList.java:128)
        at reactor.core.publisher.FluxPeek$PeekSubscriber.onComplete(FluxPeek.java:259)
        at reactor.core.publisher.FluxMap$MapSubscriber.onComplete(FluxMap.java:142)
        at reactor.netty.channel.FluxReceive.onInboundComplete(FluxReceive.java:401)
        at reactor.netty.channel.ChannelOperations.onInboundComplete(ChannelOperations.java:416)
        at reactor.netty.channel.ChannelOperations.terminate(ChannelOperations.java:470)
        at reactor.netty.http.client.HttpClientOperations.onInboundNext(HttpClientOperations.java:685)
        at reactor.netty.channel.ChannelOperationsHandler.channelRead(ChannelOperationsHandler.java:94)
        at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:379)
        at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:365)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:655)
        at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:581)
        at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:493)
        at io.netty.util.concurrent.SingleThreadEventExecutor$4.run(SingleThreadEventExecutor.java:989)
        at io.netty.util.internal.ThreadExecutorMap$2.run(ThreadExecutorMap.java:74)
        at io.netty.util.concurrent.FastThreadLocalRunnable.run(FastThreadLocalRunnable.java:30)
        at java.base/java.lang.Thread.run(Thread.java:1589)
        Suppressed: java.lang.Exception: #block terminated with an error
                at reactor.core.publisher.BlockingSingleSubscriber.blockingGet(BlockingSingleSubscriber.java:99)
                at reactor.core.publisher.Mono.block(Mono.java:1703)
                at com.azure.storage.common.implementation.StorageImplUtils.blockWithOptionalTimeout(StorageImplUtils.java:128)
                at com.azure.storage.blob.specialized.AppendBlobClient.appendBlockWithResponse(AppendBlobClient.java:259)
                at test.App.AppendBlobContent(App.java:68)
                at test.App.main(App.java:31)

参考资料

appendBlockWithResponse ： https://learn.microsoft.com/en-us/java/api/com.azure.storage.blob.specialized.appendblobclient?view=azure-java-stable#com-azure-storage-blob-specialized-appendblobclient-appendblockwithresponse(java-io-inputstream-long-byte()-com-azure-storage-blob-models-appendblobrequestconditions-java-time-duration-com-azure-core-util-context)

Blob（对象）存储简介 : https://docs.azure.cn/zh-cn/storage/blobs/storage-blobs-introduction文章来源地址https://www.toymoban.com/news/detail-437495.html

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