Sending batch requests

This document shows how to batch JSON API calls together to reduce the number of HTTP connections your client has to make when accessing Cloud Storage.

Overview

Each HTTP connection that your client makes results in a certain amount of overhead. The Cloud Storage JSON API supports batching, to allow your client to put several API calls into a single HTTP request.

Examples of situations when you might want to use batching:

• Updating metadata, such as permissions, on many objects.
• Deleting many objects.

In each case, instead of sending each call separately, you can group them together into a single HTTP request. All the inner requests must go to the Cloud Storage JSON API.

You should not include more than 100 calls in a single batch request. If you need to make more calls than that, use multiple batch requests. The total batch request payload must be less than 10MB.

Batch details

A batch request consists of multiple API calls combined into one HTTP request, which can be sent to the Cloud Storage batch endpoint, which is https://storage.googleapis.com/batch/storage/v1. This section describes the batch syntax in detail; later, there's an example.

Format of a batch request

A batch request is a single standard HTTP request containing multiple Cloud Storage JSON API calls. This main request uses the multipart/mixed content type. Within the main HTTP request, there are multiple parts which each contain a nested HTTP request.

Each part begins with its own Content-Type: application/http HTTP header. The part can also have an optional Content-ID header. These headers mark the beginning of the part, but they're separate from the nested HTTP request. This means that after the server unwraps the batch request into separate requests, the part headers are ignored.

The body of each part is itself a complete HTTP request, with its own verb, URL, headers, and body. These HTTP requests must only contain the path portion of the URL; full URLs can have undefined behavior.

The HTTP headers for the outer batch request, except for the Content- headers such as Content-Type, apply to every nested request as well. However, if you specify a given HTTP header in both the outer request and a nested request, then the nested request's header value overrides the outer batch request header's value for that specific request.

For example, if you provide an Authorization header for a specific nested request, then that header applies only to the request that specified it. If you provide an Authorization header for the outer request, then that header applies to all of the nested requests unless they override it with an Authorization header of their own.

When Cloud Storage receives the batched request, it applies the outer request's query parameters and headers (as appropriate) to each part and then treats each part as if it were a separate HTTP request.

Response to a batch request

The Cloud Storage response is a single standard HTTP response with a multipart/mixed content type; each part of this main response is the response to one of the requests in the batched request. The order of responses is the same as the requests.

Like all the parts in a request, each response part contains a complete HTTP response, including a status code, headers, and a body. And like the parts in the request, each response part is preceded by a Content-Type header that marks the beginning of the part. For more information on status codes, see HTTP status and error codes for the Cloud Storage JSON API.

If a given part of the request had a Content-ID header, then the corresponding part of the response has a matching Content-ID header. The Content-ID header of the response begins with response-, followed by the Content-ID value used in the request, as shown in the example.

Example

The following batch example updates the custom metadata for three objects in example-bucket.

Example batch HTTP request

 POST /batch/storage/v1 HTTP/1.1 Host: storage.googleapis.com Content-Length: 960 Content-Type: multipart/mixed; boundary="===============7330845974216740156==" Authorization: Bearer ya29.AHES6ZRVmB7fkLtd1XTmq6mo0S1wqZZi3-Lh_s-6Uw7p8vtgSwg --===============7330845974216740156== Content-Type: application/http Content-Transfer-Encoding: binary Content-ID: <b29c5de2-0db4-490b-b421-6a51b598bd22+1> PATCH /storage/v1/b/example-bucket/o/obj1 HTTP/1.1 Content-Type: application/json accept: application/json content-length: 31 {"metadata": {"type": "tabby"}} --===============7330845974216740156== Content-Type: application/http Content-Transfer-Encoding: binary Content-ID: <b29c5de2-0db4-490b-b421-6a51b598bd22+2> PATCH /storage/v1/b/example-bucket/o/obj2 HTTP/1.1 Content-Type: application/json accept: application/json content-length: 32 {"metadata": {"type": "tuxedo"}} --===============7330845974216740156== Content-Type: application/http Content-Transfer-Encoding: binary Content-ID: <b29c5de2-0db4-490b-b421-6a51b598bd22+3> PATCH /storage/v1/b/example-bucket/o/obj3 HTTP/1.1 Content-Type: application/json accept: application/json content-length: 32 {"metadata": {"type": "calico"}} --===============7330845974216740156==-- 

import com.google.api.gax.paging.Page; import com.google.cloud.storage.Blob; import com.google.cloud.storage.BlobInfo; import com.google.cloud.storage.Storage; import com.google.cloud.storage.StorageBatch; import com.google.cloud.storage.StorageBatchResult; import com.google.cloud.storage.StorageException; import com.google.cloud.storage.StorageOptions; import java.util.HashMap; import java.util.List; import java.util.Map; import java.util.Objects; import java.util.stream.Collectors; public class BatchSetObjectMetadata {  public static void batchSetObjectMetadata(  String projectId, String bucketName, String pathPrefix) {  // The ID of your GCP project  // String projectId = "your-project-id";  // The ID of your GCS bucket  // String bucketName = "your-unique-bucket-name";  // The directory prefix. All objects in the bucket with this prefix will have their metadata  // updated  // String pathPrefix = "yourPath/";  Storage storage = StorageOptions.newBuilder().setProjectId(projectId).build().getService();  Map<String, String> newMetadata = new HashMap<>();  newMetadata.put("keyToAddOrUpdate", "value");  Page<Blob> blobs =  storage.list(  bucketName,  Storage.BlobListOption.prefix(pathPrefix),  Storage.BlobListOption.delimiter("/"));  StorageBatch batchRequest = storage.batch();  // Add all blobs with the given prefix to the batch request  List<StorageBatchResult<Blob>> batchResults =  blobs  .streamAll()  .map(blob -> batchRequest.update(blob.toBuilder().setMetadata(newMetadata).build()))  .collect(Collectors.toList());  // Execute the batch request  batchRequest.submit();  List<StorageException> failures =  batchResults.stream()  .map(  r -> {  try {  BlobInfo blob = r.get();  return null;  } catch (StorageException e) {  return e;  }  })  .filter(Objects::nonNull)  .collect(Collectors.toList());  System.out.println(  (batchResults.size() - failures.size())  + " blobs in bucket "  + bucketName  + " with prefix '"  + pathPrefix  + "' had their metadata updated successfully.");  if (!failures.isEmpty()) {  System.out.println("While processing, there were " + failures.size() + " failures");  for (StorageException failure : failures) {  failure.printStackTrace(System.out);  }  }  } }

 from google.cloud import storage def batch_request(bucket_name, prefix=None):  """  Use a batch request to patch a list of objects with the given prefix in a bucket.  Note that Cloud Storage does not support batch operations for uploading or downloading.  Additionally, the current batch design does not support library methods whose return values  depend on the response payload.  See https://cloud.google.com/python/docs/reference/storage/latest/google.cloud.storage.batch  """ # The ID of your GCS bucket # bucket_name = "my-bucket" # The prefix of the object paths # prefix = "directory-prefix/" client = storage.Client() bucket = client.bucket(bucket_name) # Accumulate in a list the objects with a given prefix. blobs_to_patch = [blob for blob in bucket.list_blobs(prefix=prefix)] # Use a batch context manager to edit metadata in the list of blobs. # The batch request is sent out when the context manager closes. # No more than 100 calls should be included in a single batch request. with client.batch(): for blob in blobs_to_patch: metadata = {"your-metadata-key": "your-metadata-value"} blob.metadata = metadata blob.patch() print( f"Batch request edited metadata for all objects with the given prefix in {bucket.name}." ) 

Example batch HTTP response

This is the response to the HTTP example request in the previous section.

 HTTP/1.1 200 OK Content-Type: multipart/mixed; boundary=batch_pK7JBAk73-E=_AA5eFwv4m2Q= Date: Mon, 22 Jan 2018 18:56:00 GMT Expires: Mon, 22 Jan 2018 18:56:00 GMT Cache-Control: private, max-age=0 Content-Length: 3767 --batch_pK7JBAk73-E=_AA5eFwv4m2Q= Content-Type: application/http Content-ID: <response-b29c5de2-0db4-490b-b421-6a51b598bd22+1> HTTP/1.1 200 OK ETag: "lGaP-E0memYDumK16YuUDM_6Gf0/V43j6azD55CPRGb9b6uytDYl61Y" Content-Type: application/json; charset=UTF-8 Date: Mon, 22 Jan 2018 18:56:00 GMT Expires: Mon, 22 Jan 2018 18:56:00 GMT Cache-Control: private, max-age=0 Content-Length: 846 { "kind": "storage#object", "id": "example-bucket/obj1/1495822576643790", . . . "metadata": { "type": "tabby" }, . . . } --batch_pK7JBAk73-E=_AA5eFwv4m2Q= Content-Type: application/http Content-ID: <response-b29c5de2-0db4-490b-b421-6a51b598bd22+2> HTTP/1.1 200 OK ETag: "lGaP-E0memYDumK16YuUDM_6Gf0/91POdd-sxSAkJnS8Dm7wMxBSDKk" Content-Type: application/json; charset=UTF-8 Date: Mon, 22 Jan 2018 18:56:00 GMT Expires: Mon, 22 Jan 2018 18:56:00 GMT Cache-Control: private, max-age=0 Content-Length: 846 { "kind": "storage#object", "id": "example-bucket/obj2/1495822576643790", . . . "metadata": { "type": "tuxedo" }, . . . } --batch_pK7JBAk73-E=_AA5eFwv4m2Q= Content-Type: application/http Content-ID: <response-b29c5de2-0db4-490b-b421-6a51b598bd22+3> HTTP/1.1 200 OK ETag: "lGaP-E0memYDumK16YuUDM_6Gf0/d2Z1F1_ZVbB1dC0YKM9rX5VAgIQ" Content-Type: application/json; charset=UTF-8 Date: Mon, 22 Jan 2018 18:56:00 GMT Expires: Mon, 22 Jan 2018 18:56:00 GMT Cache-Control: private, max-age=0 Content-Length: 846 { "kind": "storage#object", "id": "example-bucket/obj3/1495822576643790", . . . "metadata": { "type": "calico" }, . . . } --batch_pK7JBAk73-E=_AA5eFwv4m2Q=-- 

If the overall request isn't formatted correctly and Cloud Storage is unable to parse it into sub-requests, you receive a 400 error. Otherwise, Cloud Storage returns a 200 status code, even if some or all of the sub-requests fail.

When the overall request returns with a 200 status code, the response contains results for each sub-request, including a status code for each, which indicates whether the sub-request succeeded or failed. For example, when batch deleting objects, each successful sub-request contains a 204 No Content status code.