matlab-google-cloud-storage

Support for the Google Cloud Platform. This package contains the client Library for Google Cloud Storage

MATLAB® Interface for Google Cloud Storage™

This is a MATLAB® interface for the Google Cloud Storage™ services

Requirements

MathWorks products

• Requires MATLAB release R2017b or later.
• Google Cloud Common Utilities found at https://github.com/mathworks-ref-arch/matlab-gcp-common

3rd party products

• Google Cloud Platform Services account

To build a required JAR file:

• Maven™
• JDK 8+

Getting Started

Please refer to the Documentation to get started. The Installation Instructions and Getting Started documents provide detailed instructions on setting up and using the interface.

The easiest way to fetch this repo and all required dependencies is to clone the top-level repository using:

git clone --recursive https://github.com/mathworks-ref-arch/mathworks-gcp-support.git

This is what your top level directory¹ should look like:

Build the google-cloud-storage SDK for Java components

The MATLAB code uses a single JAVA SDK for all matlab interfaces for google cloud which can be built using:

cd mathworks-gcp-support/matlab-gcp-common/Software/Java
mvn clean package

Once built, use the mathworks-gcp-support/matlab-google-cloud-storage/Software/MATLAB/startup.m function to initialize the interface.

cd('mathworks-gcp-support/matlab-google-cloud-storage/Software/MATLAB')
startup

For obtaining credentials and setting up authentication refer Authentication

For an end to end example refer Software/MATLAB/scripts/Examples

Quickstart

This is a quickstart for using the interface to google-cloud-storage, to perform steps such as creating, listing, deleting Buckets and Blob objects on Google cloud Storage. More detailed examples can be found in BasicUsage

% Create the google cloud storage client

storage = gcp.storage.Storage()

storage =

  Storage with properties:

    projectId: 'pfxxxxxloy'
       Handle: [1x1 com.google.cloud.storage.StorageImpl]

% Create a bucket. Note: Google Cloud Storage provides naming guidelines

bucketName = 'com-myorg-mybucket';
bucketInfo = gcp.storage.BucketInfo.of(bucketName);
bucketTargetOption = gcp.storage.Storage.BucketTargetOption.userProject(storage.projectId);
bucket = storage.create(bucketInfo, bucketTargetOption)

bucket =

  Bucket with properties:

     projectId: "pftxxxxxoy"
    bucketName: "com-myorg-mybucket"
        Handle: [1x1 com.google.cloud.storage.Bucket]

% List Buckets with single or multiple BucketListOptions as filters

% Example of existing buckets to list from:
%
%        BucketName              Createtime                      Owner            
%    __________________    ______________________    _____________________________
%
%    "mymattestbucket1"    "07-Feb-2020 17:07:37"    "project-owners-46REDACTED89"
%    "newmattestbucket1"   "07-Feb-2020 19:07:37"    "project-owners-46REDACTED89"
%    "xymattestbucket1"    "07-Feb-2020 21:07:37"    "project-owners-46REDACTED89"

bucketListOption1 = gcp.storage.Storage.BucketListOption.userProject(storage.projectId);
bucketList = storage.list(bucketListOption1)

bucketList =

  1x3 cell array

    {1x1 gcp.storage.Bucket}    {1x1 gcp.storage.Bucket}    {1x1 gcp.storage.Bucket}

bucketListOption2 = gcp.storage.Storage.BucketListOption.prefix("my");
bucketList = storage.list(bucketListOption1,bucketListOption2)

bucketList =

  1x1 cell array

    {1x1 gcp.storage.Bucket}

% Create Blob object within Bucket

x = magic(4);
blob = bucket.create("unique_blobName",x)

blob =

  Blob with properties:

         name: "unique_blobName.mat"
    projectId: "pftxxxxloy"
       Handle: [1x1 com.google.cloud.storage.Blob]

% List Blobs within Bucket with single or multiple BlobListOptions as Filters

% Example of Blobs to list from
%
%        blobName               bucketName              Createtime                                    Owner                          
%    _____________________    __________________    ______________________    _________________________________________________________
%
%    "unique_blobName.mat"    "mymattestbucket1"    "07-Feb-2020 17:07:38"    "[e-mail]"
%    "image_blobName.mat"     "mymattestbucket1"    "07-Feb-2020 19:07:38"    "[e-mail]"

blobListOption1 = gcp.storage.Storage.BlobListOption.userProject(storage.projectId);
blobs = storage.list( bucket.bucketName ,blobListOption1)

blobs =

    1x2 cell array

    {1x1 gcp.storage.Blob}  {1x1 gcp.storage.Blob}

blobListOption2 = gcp.storage.Storage.BlobListOption.prefix("un");
blobs = storage.list( bucket.bucketName ,blobListOption1,blobListOption2)

blobs =

    1x1 cell array

    {1x1 gcp.storage.Blob}

% Deleting the bucket and shutting down the client
% Bucket needs to be empty before being deleted

% Delete Blob Object

blobSourceOption = gcp.storage.Blob.BlobSourceOption.generationMatch;
blob.delete(blobSourceOption)

ans =

  logical

   1

% Delete empty Bucket

bucketSourceOption = gcp.storage.Bucket.BucketSourceOption.metagenerationMatch;
bucket.delete(bucketSourceOption)
ans =

  logical

   1

You can also use gsutil Tool from MATLAB command prompt. See Documentation for gsutil usage

Logging

When getting started or debugging it can be helpful to get more feedback. Once the Client has been created one can set the logging level to verbose as follows:

logObj = Logger.getLogger();
logObj.DisplayLevel = 'verbose';

See: Logging for more details.

License

The license for the MATLAB Interface for Google Cloud Storage is available in the LICENSE.md file in this GitHub repository. This package uses certain third-party content which is licensed under separate license agreements. See the pom.xml file for third-party software downloaded at build time.

Enhancement Request

Provide suggestions for additional features or capabilities using the following link:
https://www.mathworks.com/products/reference-architectures/request-new-reference-architectures.html

Support

Email: [e-mail] or please log an issue.

Notes:

¹ Used with permission from Microsoft.