Upload objects from a file system

This page shows you how to upload objects to your Cloud Storage bucket from your local file system. An uploaded object consists of the data you want to store along with any associated metadata. For a conceptual overview, including how to choose the optimal upload method based on your file size, see Uploads and downloads .

For instructions on uploading from memory, see Upload objects from memory .

Required roles

To get the permissions that you need to upload objects to a bucket, ask your administrator to grant you the Storage Object User ( roles/storage.objectUser ) IAM role on the bucket. This predefined role contains the permissions required to upload an object to a bucket. To see the exact permissions that are required, expand the Required permissionssection:

Required permissions

  • storage.objects.create
  • storage.objects.delete
    • This permission is only required for uploads that overwrite an existing object.
  • storage.objects.get
    • This permission is only required if you plan on using the Google Cloud CLI to perform the tasks on this page.
  • storage.objects.list
    • This permission is only required if you plan on using the Google Cloud CLI to perform the tasks on this page. This permission is also required if you want to use the Google Cloud console to verify the objects you've uploaded.

If you plan on using the Google Cloud console to perform the tasks on this page, you'll also need the storage.buckets.list permission, which is not included in the Storage Object User ( roles/storage.objectUser ) role. To get this permission, ask your administrator to grant you the Storage Admin ( roles/storage.admin ) role on the project.

You can also get these permissions with other predefined roles or custom roles .

For information about granting roles on buckets, see Use IAM with buckets .

Upload an object to a bucket

Complete the following steps to upload an object to a bucket:

Console

  1. In the Google Cloud console, go to the Cloud Storage Buckets page.

    Go to Buckets

  2. In the list of buckets, click the name of the bucket that you want to upload an object to.

  3. In the Objectstab for the bucket, either:

    • Drag files from your desktop or file manager to the main pane in the Google Cloud console.

    • Click Upload> Upload files, select the files you want to upload in the dialog that appears, then click Open.

To learn how to get detailed error information about failed Cloud Storage operations in the Google Cloud console, see Troubleshooting .

Command line

Use the gcloud storage cp command:

gcloud storage cp OBJECT_LOCATION 
gs:// DESTINATION_BUCKET_NAME 

Where:

  • OBJECT_LOCATION is the local path to your object. For example, Desktop/dog.png .

  • DESTINATION_BUCKET_NAME is the name of the bucket to which you are uploading your object. For example, my-bucket .

If successful, the response looks like the following example:

Completed files 1/1 | 164.3kiB/164.3kiB

You can set fixed-key and custom object metadata as part of your object upload by using command flags .

Client libraries

C++

For more information, see the Cloud Storage C++ API reference documentation .

To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  namespace 
  
 gcs 
  
 = 
  
 :: 
 google 
 :: 
 cloud 
 :: 
 storage 
 ; 
 using 
  
 :: 
 google 
 :: 
 cloud 
 :: 
 StatusOr 
 ; 
 []( 
 gcs 
 :: 
 Client 
  
 client 
 , 
  
 std 
 :: 
 string 
  
 const 
&  
 file_name 
 , 
  
 std 
 :: 
 string 
  
 const 
&  
 bucket_name 
 , 
  
 std 
 :: 
 string 
  
 const 
&  
 object_name 
 ) 
  
 { 
  
 // Note that the client library automatically computes a hash on the 
  
 // client-side to verify data integrity during transmission. 
  
 StatusOr<gcs 
 :: 
 ObjectMetadata 
>  
 metadata 
  
 = 
  
 client 
 . 
 UploadFile 
 ( 
  
 file_name 
 , 
  
 bucket_name 
 , 
  
 object_name 
 , 
  
 gcs 
 :: 
 IfGenerationMatch 
 ( 
 0 
 )); 
  
 if 
  
 ( 
 ! 
 metadata 
 ) 
  
 throw 
  
 std 
 :: 
 move 
 ( 
 metadata 
 ). 
 status 
 (); 
  
 std 
 :: 
 cout 
 << 
 "Uploaded " 
 << 
 file_name 
 << 
 " to object " 
 << 
 metadata 
 - 
> name 
 () 
 << 
 " in bucket " 
 << 
 metadata 
 - 
> bucket 
 () 
 << 
 " 
 \n 
 Full metadata: " 
 << 
 * 
 metadata 
 << 
 " 
 \n 
 " 
 ; 
 } 
 

C#

For more information, see the Cloud Storage C# API reference documentation .

To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  using 
  
  Google.Cloud.Storage.V1 
 
 ; 
 using 
  
 System 
 ; 
 using 
  
 System.IO 
 ; 
 public 
  
 class 
  
 UploadFileSample 
 { 
  
 public 
  
 void 
  
 UploadFile 
 ( 
  
 string 
  
 bucketName 
  
 = 
  
 "your-unique-bucket-name" 
 , 
  
 string 
  
 localPath 
  
 = 
  
 "my-local-path/my-file-name" 
 , 
  
 string 
  
 objectName 
  
 = 
  
 "my-file-name" 
 ) 
  
 { 
  
 var 
  
 storage 
  
 = 
  
  StorageClient 
 
 . 
  Create 
 
 (); 
  
 using 
  
 var 
  
 fileStream 
  
 = 
  
 File 
 . 
 OpenRead 
 ( 
 localPath 
 ); 
  
 storage 
 . 
 UploadObject 
 ( 
 bucketName 
 , 
  
 objectName 
 , 
  
 null 
 , 
  
 fileStream 
 ); 
  
 Console 
 . 
 WriteLine 
 ( 
 $"Uploaded {objectName}." 
 ); 
  
 } 
 } 
 

Go

For more information, see the Cloud Storage Go API reference documentation .

To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  import 
  
 ( 
  
 "context" 
  
 "fmt" 
  
 "io" 
  
 "os" 
  
 "time" 
  
 "cloud.google.com/go/storage" 
 ) 
 // uploadFile uploads an object. 
 func 
  
 uploadFile 
 ( 
 w 
  
 io 
 . 
  Writer 
 
 , 
  
 bucket 
 , 
  
 object 
  
 string 
 ) 
  
 error 
  
 { 
  
 // bucket := "bucket-name" 
  
 // object := "object-name" 
  
 ctx 
  
 := 
  
 context 
 . 
 Background 
 () 
  
 client 
 , 
  
 err 
  
 := 
  
 storage 
 . 
 NewClient 
 ( 
 ctx 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "storage.NewClient: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 client 
 . 
 Close 
 () 
  
 // Open local file. 
  
 f 
 , 
  
 err 
  
 := 
  
 os 
 . 
 Open 
 ( 
 "notes.txt" 
 ) 
  
 if 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "os.Open: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 defer 
  
 f 
 . 
 Close 
 () 
  
 ctx 
 , 
  
 cancel 
  
 := 
  
 context 
 . 
 WithTimeout 
 ( 
 ctx 
 , 
  
 time 
 . 
 Second 
 * 
 50 
 ) 
  
 defer 
  
 cancel 
 () 
  
 o 
  
 := 
  
 client 
 . 
  Bucket 
 
 ( 
 bucket 
 ). 
  Object 
 
 ( 
 object 
 ) 
  
 // Optional: set a generation-match precondition to avoid potential race 
  
 // conditions and data corruptions. The request to upload is aborted if the 
  
 // object's generation number does not match your precondition. 
  
 // For an object that does not yet exist, set the DoesNotExist precondition. 
  
 o 
  
 = 
  
 o 
 . 
 If 
 ( 
 storage 
 . 
  Conditions 
 
 { 
 DoesNotExist 
 : 
  
 true 
 }) 
  
 // If the live object already exists in your bucket, set instead a 
  
 // generation-match precondition using the live object's generation number. 
  
 // attrs, err := o.Attrs(ctx) 
  
 // if err != nil { 
  
 // 	return fmt.Errorf("object.Attrs: %w", err) 
  
 // } 
  
 // o = o.If(storage.Conditions{GenerationMatch: attrs.Generation}) 
  
 // Upload an object with storage.Writer. 
  
 wc 
  
 := 
  
 o 
 . 
  NewWriter 
 
 ( 
 ctx 
 ) 
  
 if 
  
 _ 
 , 
  
 err 
  
 = 
  
 io 
 . 
 Copy 
 ( 
 wc 
 , 
  
 f 
 ); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "io.Copy: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 if 
  
 err 
  
 := 
  
 wc 
 . 
 Close 
 (); 
  
 err 
  
 != 
  
 nil 
  
 { 
  
 return 
  
 fmt 
 . 
 Errorf 
 ( 
 "Writer.Close: %w" 
 , 
  
 err 
 ) 
  
 } 
  
 fmt 
 . 
 Fprintf 
 ( 
 w 
 , 
  
 "Blob %v uploaded.\n" 
 , 
  
 object 
 ) 
  
 return 
  
 nil 
 } 
 

Java

For more information, see the Cloud Storage Java API reference documentation .

To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

The following sample uploads an individual object:

  import 
  
 com.google.cloud.storage. BlobId 
 
 ; 
 import 
  
 com.google.cloud.storage. BlobInfo 
 
 ; 
 import 
  
 com.google.cloud.storage. Storage 
 
 ; 
 import 
  
 com.google.cloud.storage. StorageOptions 
 
 ; 
 import 
  
 java.io.IOException 
 ; 
 import 
  
 java.nio.file.Paths 
 ; 
 public 
  
 class 
 UploadObject 
  
 { 
  
 public 
  
 static 
  
 void 
  
 uploadObject 
 ( 
  
 String 
  
 projectId 
 , 
  
 String 
  
 bucketName 
 , 
  
 String 
  
 objectName 
 , 
  
 String 
  
 filePath 
 ) 
  
 throws 
  
 IOException 
  
 { 
  
 // The ID of your GCP project 
  
 // String projectId = "your-project-id"; 
  
 // The ID of your GCS bucket 
  
 // String bucketName = "your-unique-bucket-name"; 
  
 // The ID of your GCS object 
  
 // String objectName = "your-object-name"; 
  
 // The path to your file to upload 
  
 // String filePath = "path/to/your/file" 
  
  Storage 
 
  
 storage 
  
 = 
  
  StorageOptions 
 
 . 
 newBuilder 
 (). 
 setProjectId 
 ( 
 projectId 
 ). 
 build 
 (). 
  getService 
 
 (); 
  
  BlobId 
 
  
 blobId 
  
 = 
  
  BlobId 
 
 . 
 of 
 ( 
 bucketName 
 , 
  
 objectName 
 ); 
  
  BlobInfo 
 
  
 blobInfo 
  
 = 
  
  BlobInfo 
 
 . 
 newBuilder 
 ( 
 blobId 
 ). 
 build 
 (); 
  
 // Optional: set a generation-match precondition to avoid potential race 
  
 // conditions and data corruptions. The request returns a 412 error if the 
  
 // preconditions are not met. 
  
  Storage 
 
 . 
 BlobWriteOption 
  
 precondition 
 ; 
  
 if 
  
 ( 
 storage 
 . 
  get 
 
 ( 
 bucketName 
 , 
  
 objectName 
 ) 
  
 == 
  
 null 
 ) 
  
 { 
  
 // For a target object that does not yet exist, set the DoesNotExist precondition. 
  
 // This will cause the request to fail if the object is created before the request runs. 
  
 precondition 
  
 = 
  
  Storage 
 
 . 
 BlobWriteOption 
 . 
 doesNotExist 
 (); 
  
 } 
  
 else 
  
 { 
  
 // If the destination already exists in your bucket, instead set a generation-match 
  
 // precondition. This will cause the request to fail if the existing object's generation 
  
 // changes before the request runs. 
  
 precondition 
  
 = 
  
  Storage 
 
 . 
 BlobWriteOption 
 . 
 generationMatch 
 ( 
  
 storage 
 . 
  get 
 
 ( 
 bucketName 
 , 
  
 objectName 
 ). 
 getGeneration 
 ()); 
  
 } 
  
 storage 
 . 
  createFrom 
 
 ( 
 blobInfo 
 , 
  
 Paths 
 . 
 get 
 ( 
 filePath 
 ), 
  
 precondition 
 ); 
  
 System 
 . 
 out 
 . 
 println 
 ( 
  
 "File " 
  
 + 
  
 filePath 
  
 + 
  
 " uploaded to bucket " 
  
 + 
  
 bucketName 
  
 + 
  
 " as " 
  
 + 
  
 objectName 
 ); 
  
 } 
 } 
 

The following sample uploads multiple objects concurrently:

  import 
  
 com.google.cloud.storage.transfermanager. ParallelUploadConfig 
 
 ; 
 import 
  
 com.google.cloud.storage.transfermanager. TransferManager 
 
 ; 
 import 
  
 com.google.cloud.storage.transfermanager. TransferManagerConfig 
 
 ; 
 import 
  
 com.google.cloud.storage.transfermanager. UploadResult 
 
 ; 
 import 
  
 java.io.IOException 
 ; 
 import 
  
 java.nio.file.Path 
 ; 
 import 
  
 java.util.List 
 ; 
 class 
 UploadMany 
  
 { 
  
 public 
  
 static 
  
 void 
  
 uploadManyFiles 
 ( 
 String 
  
 bucketName 
 , 
  
 List<Path> 
  
 files 
 ) 
  
 throws 
  
 IOException 
  
 { 
  
  TransferManager 
 
  
 transferManager 
  
 = 
  
  TransferManagerConfig 
 
 . 
 newBuilder 
 (). 
 build 
 (). 
  getService 
 
 (); 
  
  ParallelUploadConfig 
 
  
 parallelUploadConfig 
  
 = 
  
  ParallelUploadConfig 
 
 . 
 newBuilder 
 (). 
 setBucketName 
 ( 
 bucketName 
 ). 
 build 
 (); 
  
 List<UploadResult> 
  
 results 
  
 = 
  
 transferManager 
 . 
  uploadFiles 
 
 ( 
 files 
 , 
  
 parallelUploadConfig 
 ). 
  getUploadResults 
 
 (); 
  
 for 
  
 ( 
  UploadResult 
 
  
 result 
  
 : 
  
 results 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
  
 "Upload for " 
  
 + 
  
 result 
 . 
 getInput 
 (). 
 getName 
 () 
  
 + 
  
 " completed with status " 
  
 + 
  
 result 
 . 
 getStatus 
 ()); 
  
 } 
  
 } 
 } 
 

The following sample uploads all objects with a common prefix concurrently:

  import 
  
 com.google.cloud.storage.transfermanager. ParallelUploadConfig 
 
 ; 
 import 
  
 com.google.cloud.storage.transfermanager. TransferManager 
 
 ; 
 import 
  
 com.google.cloud.storage.transfermanager. TransferManagerConfig 
 
 ; 
 import 
  
 com.google.cloud.storage.transfermanager. UploadResult 
 
 ; 
 import 
  
 java.io.IOException 
 ; 
 import 
  
 java.nio.file.Files 
 ; 
 import 
  
 java.nio.file.Path 
 ; 
 import 
  
 java.util.ArrayList 
 ; 
 import 
  
 java.util.List 
 ; 
 import 
  
 java.util.stream.Stream 
 ; 
 class 
 UploadDirectory 
  
 { 
  
 public 
  
 static 
  
 void 
  
 uploadDirectoryContents 
 ( 
 String 
  
 bucketName 
 , 
  
 Path 
  
 sourceDirectory 
 ) 
  
 throws 
  
 IOException 
  
 { 
  
  TransferManager 
 
  
 transferManager 
  
 = 
  
  TransferManagerConfig 
 
 . 
 newBuilder 
 (). 
 build 
 (). 
  getService 
 
 (); 
  
  ParallelUploadConfig 
 
  
 parallelUploadConfig 
  
 = 
  
  ParallelUploadConfig 
 
 . 
 newBuilder 
 (). 
 setBucketName 
 ( 
 bucketName 
 ). 
 build 
 (); 
  
 // Create a list to store the file paths 
  
 List<Path> 
  
 filePaths 
  
 = 
  
 new 
  
 ArrayList 
<> (); 
  
 // Get all files in the directory 
  
 // try-with-resource to ensure pathStream is closed 
  
 try 
  
 ( 
 Stream<Path> 
  
 pathStream 
  
 = 
  
 Files 
 . 
 walk 
 ( 
 sourceDirectory 
 )) 
  
 { 
  
 pathStream 
 . 
 filter 
 ( 
 Files 
 :: 
 isRegularFile 
 ). 
 forEach 
 ( 
 filePaths 
 :: 
 add 
 ); 
  
 } 
  
 List<UploadResult> 
  
 results 
  
 = 
  
 transferManager 
 . 
  uploadFiles 
 
 ( 
 filePaths 
 , 
  
 parallelUploadConfig 
 ). 
  getUploadResults 
 
 (); 
  
 for 
  
 ( 
  UploadResult 
 
  
 result 
  
 : 
  
 results 
 ) 
  
 { 
  
 System 
 . 
 out 
 . 
 println 
 ( 
  
 "Upload for " 
  
 + 
  
 result 
 . 
 getInput 
 (). 
 getName 
 () 
  
 + 
  
 " completed with status " 
  
 + 
  
 result 
 . 
 getStatus 
 ()); 
  
 } 
  
 } 
 } 
 

Node.js

For more information, see the Cloud Storage Node.js API reference documentation .

To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

The following sample uploads an individual object:

  /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
 // The ID of your GCS bucket 
 // const bucketName = 'your-unique-bucket-name'; 
 // The path to your file to upload 
 // const filePath = 'path/to/your/file'; 
 // The new ID for your GCS file 
 // const destFileName = 'your-new-file-name'; 
 // Imports the Google Cloud client library 
 const 
  
 { 
 Storage 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/storage 
' 
 ); 
 // Creates a client 
 const 
  
 storage 
  
 = 
  
 new 
  
 Storage 
 (); 
 async 
  
 function 
  
 uploadFile 
 () 
  
 { 
  
 const 
  
 options 
  
 = 
  
 { 
  
 destination 
 : 
  
 destFileName 
 , 
  
 // Optional: 
  
 // Set a generation-match precondition to avoid potential race conditions 
  
 // and data corruptions. The request to upload is aborted if the object's 
  
 // generation number does not match your precondition. For a destination 
  
 // object that does not yet exist, set the ifGenerationMatch precondition to 0 
  
 // If the destination object already exists in your bucket, set instead a 
  
 // generation-match precondition using its generation number. 
  
 preconditionOpts 
 : 
  
 { 
 ifGenerationMatch 
 : 
  
 generationMatchPrecondition 
 }, 
  
 }; 
  
 await 
  
 storage 
 . 
 bucket 
 ( 
 bucketName 
 ). 
  upload 
 
 ( 
 filePath 
 , 
  
 options 
 ); 
  
 console 
 . 
 log 
 ( 
 ` 
 ${ 
 filePath 
 } 
 uploaded to 
 ${ 
 bucketName 
 } 
 ` 
 ); 
 } 
 uploadFile 
 (). 
 catch 
 ( 
 console 
 . 
 error 
 ); 
 

The following sample uploads multiple objects concurrently:

  /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
 // The ID of your GCS bucket 
 // const bucketName = 'your-unique-bucket-name'; 
 // The ID of the first GCS file to upload 
 // const firstFilePath = 'your-first-file-name'; 
 // The ID of the second GCS file to upload 
 // const secondFilePath = 'your-second-file-name'; 
 // Imports the Google Cloud client library 
 const 
  
 { 
 Storage 
 , 
  
 TransferManager 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/storage 
' 
 ); 
 // Creates a client 
 const 
  
 storage 
  
 = 
  
 new 
  
 Storage 
 (); 
 // Creates a transfer manager client 
 const 
  
 transferManager 
  
 = 
  
 new 
  
  TransferManager 
 
 ( 
 storage 
 . 
 bucket 
 ( 
 bucketName 
 )); 
 async 
  
 function 
  
 uploadManyFilesWithTransferManager 
 () 
  
 { 
  
 // Uploads the files 
  
 await 
  
 transferManager 
 . 
  uploadManyFiles 
 
 ([ 
 firstFilePath 
 , 
  
 secondFilePath 
 ]); 
  
 for 
  
 ( 
 const 
  
 filePath 
  
 of 
  
 [ 
 firstFilePath 
 , 
  
 secondFilePath 
 ]) 
  
 { 
  
 console 
 . 
 log 
 ( 
 ` 
 ${ 
 filePath 
 } 
 uploaded to 
 ${ 
 bucketName 
 } 
 .` 
 ); 
  
 } 
 } 
 uploadManyFilesWithTransferManager 
 (). 
 catch 
 ( 
 console 
 . 
 error 
 ); 
 

The following sample uploads all objects with a common prefix concurrently:

  /** 
 * TODO(developer): Uncomment the following lines before running the sample. 
 */ 
 // The ID of your GCS bucket 
 // const bucketName = 'your-unique-bucket-name'; 
 // The local directory to upload 
 // const directoryName = 'your-directory'; 
 // Imports the Google Cloud client library 
 const 
  
 { 
 Storage 
 , 
  
 TransferManager 
 } 
  
 = 
  
 require 
 ( 
 ' @google-cloud/storage 
' 
 ); 
 // Creates a client 
 const 
  
 storage 
  
 = 
  
 new 
  
 Storage 
 (); 
 // Creates a transfer manager client 
 const 
  
 transferManager 
  
 = 
  
 new 
  
  TransferManager 
 
 ( 
 storage 
 . 
 bucket 
 ( 
 bucketName 
 )); 
 async 
  
 function 
  
 uploadDirectoryWithTransferManager 
 () 
  
 { 
  
 // Uploads the directory 
  
 await 
  
 transferManager 
 . 
  uploadManyFiles 
 
 ( 
 directoryName 
 ); 
  
 console 
 . 
 log 
 ( 
 ` 
 ${ 
 directoryName 
 } 
 uploaded to 
 ${ 
 bucketName 
 } 
 .` 
 ); 
 } 
 uploadDirectoryWithTransferManager 
 (). 
 catch 
 ( 
 console 
 . 
 error 
 ); 
 

PHP

For more information, see the Cloud Storage PHP API reference documentation .

To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  use Google\Cloud\Storage\StorageClient; 
 /** 
 * Upload a file. 
 * 
 * @param string $bucketName The name of your Cloud Storage bucket. 
 *        (e.g. 'my-bucket') 
 * @param string $objectName The name of your Cloud Storage object. 
 *        (e.g. 'my-object') 
 * @param string $source The path to the file to upload. 
 *        (e.g. '/path/to/your/file') 
 */ 
 function upload_object(string $bucketName, string $objectName, string $source): void 
 { 
 $storage = new StorageClient(); 
 if (!$file = fopen($source, 'r')) { 
 throw new \InvalidArgumentException('Unable to open file for reading'); 
 } 
 $bucket = $storage->bucket($bucketName); 
 $object = $bucket->upload($file, [ 
 'name' => $objectName 
 ]); 
 printf('Uploaded %s to gs://%s/%s' . PHP_EOL, basename($source), $bucketName, $objectName); 
 } 
 

Python

For more information, see the Cloud Storage Python API reference documentation .

To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

The following sample uploads an individual object:

  from 
  
 google.cloud 
  
 import 
  storage 
 
 def 
  
 upload_blob 
 ( 
 bucket_name 
 , 
 source_file_name 
 , 
 destination_blob_name 
 ): 
  
 """Uploads a file to the bucket.""" 
 # The ID of your GCS bucket 
 # bucket_name = "your-bucket-name" 
 # The path to your file to upload 
 # source_file_name = "local/path/to/file" 
 # The ID of your GCS object 
 # destination_blob_name = "storage-object-name" 
 storage_client 
 = 
  storage 
 
 . 
  Client 
 
 () 
 bucket 
 = 
 storage_client 
 . 
  bucket 
 
 ( 
 bucket_name 
 ) 
 blob 
 = 
 bucket 
 . 
 blob 
 ( 
 destination_blob_name 
 ) 
 # Optional: set a generation-match precondition to avoid potential race conditions 
 # and data corruptions. The request to upload is aborted if the object's 
 # generation number does not match your precondition. For a destination 
 # object that does not yet exist, set the if_generation_match precondition to 0. 
 # If the destination object already exists in your bucket, set instead a 
 # generation-match precondition using its generation number. 
 generation_match_precondition 
 = 
 0 
 blob 
 . 
  upload_from_filename 
 
 ( 
 source_file_name 
 , 
 if_generation_match 
 = 
 generation_match_precondition 
 ) 
 print 
 ( 
 f 
 "File 
 { 
 source_file_name 
 } 
 uploaded to 
 { 
 destination_blob_name 
 } 
 ." 
 ) 
 

The following sample uploads multiple objects concurrently:

  def 
  
 upload_many_blobs_with_transfer_manager 
 ( 
 bucket_name 
 , 
 filenames 
 , 
 source_directory 
 = 
 "" 
 , 
 workers 
 = 
 8 
 ): 
  
 """Upload every file in a list to a bucket, concurrently in a process pool. 
 Each blob name is derived from the filename, not including the 
 `source_directory` parameter. For complete control of the blob name for each 
 file (and other aspects of individual blob metadata), use 
 transfer_manager.upload_many() instead. 
 """ 
 # The ID of your GCS bucket 
 # bucket_name = "your-bucket-name" 
 # A list (or other iterable) of filenames to upload. 
 # filenames = ["file_1.txt", "file_2.txt"] 
 # The directory on your computer that is the root of all of the files in the 
 # list of filenames. This string is prepended (with os.path.join()) to each 
 # filename to get the full path to the file. Relative paths and absolute 
 # paths are both accepted. This string is not included in the name of the 
 # uploaded blob; it is only used to find the source files. An empty string 
 # means "the current working directory". Note that this parameter allows 
 # directory traversal (e.g. "/", "../") and is not intended for unsanitized 
 # end user input. 
 # source_directory="" 
 # The maximum number of processes to use for the operation. The performance 
 # impact of this value depends on the use case, but smaller files usually 
 # benefit from a higher number of processes. Each additional process occupies 
 # some CPU and memory resources until finished. Threads can be used instead 
 # of processes by passing `worker_type=transfer_manager.THREAD`. 
 # workers=8 
 from 
  
 google.cloud.storage 
  
 import 
  Client 
 
 , 
  transfer_manager 
 
 storage_client 
 = 
 Client 
 () 
 bucket 
 = 
 storage_client 
 . 
  bucket 
 
 ( 
 bucket_name 
 ) 
 results 
 = 
  transfer_manager 
 
 . 
  upload_many_from_filenames 
 
 ( 
 bucket 
 , 
 filenames 
 , 
 source_directory 
 = 
 source_directory 
 , 
 max_workers 
 = 
 workers 
 ) 
 for 
 name 
 , 
 result 
 in 
 zip 
 ( 
 filenames 
 , 
 results 
 ): 
 # The results list is either `None` or an exception for each filename in 
 # the input list, in order. 
 if 
 isinstance 
 ( 
 result 
 , 
 Exception 
 ): 
 print 
 ( 
 "Failed to upload 
 {} 
 due to exception: 
 {} 
 " 
 . 
 format 
 ( 
 name 
 , 
 result 
 )) 
 else 
 : 
 print 
 ( 
 "Uploaded 
 {} 
 to 
 {} 
 ." 
 . 
 format 
 ( 
 name 
 , 
 bucket 
 . 
 name 
 )) 
 

The following sample uploads all objects with a common prefix concurrently:

  def 
  
 upload_directory_with_transfer_manager 
 ( 
 bucket_name 
 , 
 source_directory 
 , 
 workers 
 = 
 8 
 ): 
  
 """Upload every file in a directory, including all files in subdirectories. 
 Each blob name is derived from the filename, not including the `directory` 
 parameter itself. For complete control of the blob name for each file (and 
 other aspects of individual blob metadata), use 
 transfer_manager.upload_many() instead. 
 """ 
 # The ID of your GCS bucket 
 # bucket_name = "your-bucket-name" 
 # The directory on your computer to upload. Files in the directory and its 
 # subdirectories will be uploaded. An empty string means "the current 
 # working directory". 
 # source_directory="" 
 # The maximum number of processes to use for the operation. The performance 
 # impact of this value depends on the use case, but smaller files usually 
 # benefit from a higher number of processes. Each additional process occupies 
 # some CPU and memory resources until finished. Threads can be used instead 
 # of processes by passing `worker_type=transfer_manager.THREAD`. 
 # workers=8 
 from 
  
 pathlib 
  
 import 
 Path 
 from 
  
 google.cloud.storage 
  
 import 
  Client 
 
 , 
  transfer_manager 
 
 storage_client 
 = 
 Client 
 () 
 bucket 
 = 
 storage_client 
 . 
  bucket 
 
 ( 
 bucket_name 
 ) 
 # Generate a list of paths (in string form) relative to the `directory`. 
 # This can be done in a single list comprehension, but is expanded into 
 # multiple lines here for clarity. 
 # First, recursively get all files in `directory` as Path objects. 
 directory_as_path_obj 
 = 
 Path 
 ( 
 source_directory 
 ) 
 paths 
 = 
 directory_as_path_obj 
 . 
 rglob 
 ( 
 "*" 
 ) 
 # Filter so the list only includes files, not directories themselves. 
 file_paths 
 = 
 [ 
 path 
 for 
 path 
 in 
 paths 
 if 
 path 
 . 
 is_file 
 ()] 
 # These paths are relative to the current working directory. Next, make them 
 # relative to `directory` 
 relative_paths 
 = 
 [ 
 path 
 . 
 relative_to 
 ( 
 source_directory 
 ) 
 for 
 path 
 in 
 file_paths 
 ] 
 # Finally, convert them all to strings. 
 string_paths 
 = 
 [ 
 str 
 ( 
 path 
 ) 
 for 
 path 
 in 
 relative_paths 
 ] 
 print 
 ( 
 "Found 
 {} 
 files." 
 . 
 format 
 ( 
 len 
 ( 
 string_paths 
 ))) 
 # Start the upload. 
 results 
 = 
  transfer_manager 
 
 . 
  upload_many_from_filenames 
 
 ( 
 bucket 
 , 
 string_paths 
 , 
 source_directory 
 = 
 source_directory 
 , 
 max_workers 
 = 
 workers 
 ) 
 for 
 name 
 , 
 result 
 in 
 zip 
 ( 
 string_paths 
 , 
 results 
 ): 
 # The results list is either `None` or an exception for each filename in 
 # the input list, in order. 
 if 
 isinstance 
 ( 
 result 
 , 
 Exception 
 ): 
 print 
 ( 
 "Failed to upload 
 {} 
 due to exception: 
 {} 
 " 
 . 
 format 
 ( 
 name 
 , 
 result 
 )) 
 else 
 : 
 print 
 ( 
 "Uploaded 
 {} 
 to 
 {} 
 ." 
 . 
 format 
 ( 
 name 
 , 
 bucket 
 . 
 name 
 )) 
 

Ruby

For more information, see the Cloud Storage Ruby API reference documentation .

To authenticate to Cloud Storage, set up Application Default Credentials. For more information, see Set up authentication for client libraries .

  def 
  
 upload_file 
  
 bucket_name 
 :, 
  
 local_file_path 
 :, 
  
 file_name 
 : 
  
 nil 
  
 # The ID of your GCS bucket 
  
 # bucket_name = "your-unique-bucket-name" 
  
 # The path to your file to upload 
  
 # local_file_path = "/local/path/to/file.txt" 
  
 # The ID of your GCS object 
  
 # file_name = "your-file-name" 
  
 require 
  
 "google/cloud/storage" 
  
 storage 
  
 = 
  
 Google 
 :: 
 Cloud 
 :: 
  Storage 
 
 . 
  new 
 
  
 bucket 
  
 = 
  
 storage 
 . 
 bucket 
  
 bucket_name 
 , 
  
 skip_lookup 
 : 
  
 true 
  
 file 
  
 = 
  
 bucket 
 . 
  create_file 
 
  
 local_file_path 
 , 
  
 file_name 
  
 puts 
  
 "Uploaded 
 #{ 
 local_file_path 
 } 
 as 
 #{ 
 file 
 . 
 name 
 } 
 in bucket 
 #{ 
 bucket_name 
 } 
 " 
 end 
 

Terraform

You can use a Terraform resource to upload an object. Either content or source must be specified.

 # Create a text object in Cloud Storage
resource "google_storage_bucket_object" "default" {
  name = "new-object"
  # Use `source` or `content`
  # source       = "/path/to/an/object"
  content      = "Data as string to be uploaded"
  content_type = "text/plain"
  bucket       = google_storage_bucket.static.id
} 

REST APIs

JSON API

The JSON API distinguishes between media uploads , in which only object data is included in the request, and JSON API multipart uploads , in which both object data and object metadata are included in the request.

  1. Have gcloud CLI installed and initialized , which lets you generate an access token for the Authorization header.

  2. Use cURL to call the JSON API with a POST Object request:

    curl -X POST --data-binary @ OBJECT_LOCATION 
    \
        -H "Authorization: Bearer $(gcloud auth print-access-token)" \
        -H "Content-Type: OBJECT_CONTENT_TYPE 
    " \
        "https://storage.googleapis.com/upload/storage/v1/b/ BUCKET_NAME 
    /o?uploadType=media&name= OBJECT_NAME 
    "

    Where:

    • OBJECT_LOCATION is the local path to your object. For example, Desktop/dog.png .
    • OBJECT_CONTENT_TYPE is the content type of the object. For example, image/png .
    • BUCKET_NAME is the name of the bucket to which you are uploading your object. For example, my-bucket .
    • OBJECT_NAME is the URL-encoded name you want to give your object. For example, pets/dog.png , URL-encoded as pets%2Fdog.png .
  1. Have gcloud CLI installed and initialized , which lets you generate an access token for the Authorization header.

  2. Create a multipart/related file that contains the following information:

    -- BOUNDARY_STRING 
    Content-Type: application/json; charset=UTF-8 OBJECT_METADATA 
    -- BOUNDARY_STRING 
    Content-Type: OBJECT_CONTENT_TYPE 
     OBJECT_DATA 
    -- BOUNDARY_STRING 
    --

    Where:

    • BOUNDARY_STRING is a string you define that identifies the different parts of the multipart file. For example, separator_string .
    • OBJECT_METADATA is metadata you want to include for the file, in JSON format . At a minimum, this section should include a name attribute for the object, for example {"name": "myObject"} .
    • OBJECT_CONTENT_TYPE is the content type of the object. For example, text/plain .
    • OBJECT_DATA is the data for the object.

    For example:

    --separator_string
    Content-Type: application/json; charset=UTF-8
    
    {"name":"my-document.txt"}
    
    --separator_string
    Content-Type: text/plain
    
    This is a text file.
    --separator_string--
  3. Use cURL to call the JSON API with a POST Object request:

    curl -X POST --data-binary @ MULTIPART_FILE_LOCATION 
    \
        -H "Authorization: Bearer $(gcloud auth print-access-token)" \
        -H "Content-Type: multipart/related; boundary= BOUNDARY_STRING 
    " \
        -H "Content-Length: MULTIPART_FILE_SIZE 
    " \
        "https://storage.googleapis.com/upload/storage/v1/b/ BUCKET_NAME 
    /o?uploadType=multipart"

    Where:

    • MULTIPART_FILE_LOCATION is the local path to the multipart file you created in step 2. For example, Desktop/my-upload.multipart .
    • BOUNDARY_STRING is the boundary string you defined in Step 2. For example, my-boundary .
    • MULTIPART_FILE_SIZE is the total size, in bytes, of the multipart file you created in Step 2. For example, 2000000 .
    • BUCKET_NAME is the name of the bucket to which you are uploading your object. For example, my-bucket .

If the request succeeds, the server returns the HTTP 200 OK status code along with the file's metadata.

XML API

  1. Have gcloud CLI installed and initialized , which lets you generate an access token for the Authorization header.

  2. Use cURL to call the XML API with a PUT Object request:

    curl -X PUT --data-binary @ OBJECT_LOCATION 
    \
        -H "Authorization: Bearer $(gcloud auth print-access-token)" \
        -H "Content-Type: OBJECT_CONTENT_TYPE 
    " \
        "https://storage.googleapis.com/ BUCKET_NAME 
    / OBJECT_NAME 
    "

    Where:

    • OBJECT_LOCATION is the local path to your object. For example, Desktop/dog.png .
    • OBJECT_CONTENT_TYPE is the content type of the object. For example, image/png .
    • BUCKET_NAME is the name of the bucket to which you are uploading your object. For example, my-bucket .
    • OBJECT_NAME is the URL-encoded name you want to give your object. For example, pets/dog.png , URL-encoded as pets%2Fdog.png .

You can set additional object metadata as part of your object upload in the headers of the request in the same way the previous example sets Content-Type . When working with the XML API, metadata can only be set at the time the object is written, such as when uploading, copying, or replacing the object. For more information, see Editing object metadata .

Upload the contents of a directory to a bucket

Complete the following steps to copy the contents of a directory to a bucket:

Command line

Use the gcloud storage rsync command with the --recursive flag:

gcloud storage rsync --recursive LOCAL_DIRECTORY 
gs:// DESTINATION_BUCKET_NAME 
/ FOLDER_NAME 

Where:

  • LOCAL_DIRECTORY is the path to the directory that contains the files you want to upload as objects. For example, ~/my_directory .

  • DESTINATION_BUCKET_NAME is the name of the bucket to which you want to upload objects. For example, my-bucket .

  • FOLDER_NAME (optional) is the name of the folder within the bucket that you want to upload objects to. For example, my-folder .

If successful, the response looks like the following example:

Completed files 1/1 | 5.6kiB/5.6kiB

You can set fixed-key and custom object metadata as part of your object upload by using command flags .

What's next

Try it for yourself

If you're new to Google Cloud, create an account to evaluate how Cloud Storage performs in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.

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