Google Cloud Platform (GCP) is a service provider built and maintained by Google for operating, maintaining, and deploying web applications. The services provided, such as a real-time database (firebase) and cloud storage, are essential for both Google's in-house teams and for external use by companies and developers to build better performant, resilient, and scalable applications.
On the GCP free tier, tons of tools can be accessed. These tools range from cloud computing to Google Kubernetes Engine, BigQuery, Pub/Sub system, machine learning tools, etc. We will be talking briefly about four of them.
Cloud Storage: Cloud storage stores and manages unstructured data on remote servers with options to backup on multiple data centres across the globe, get analytics on the data stored and queried, and also secure for active and cold data storage.
FireStore: A NoSQL document-oriented database hosted on the cloud to store data then sync them across client platforms (web, mobile, etc) using a real-time listener. Firestore also syncs with other GCP services like cloud storage to read and write files into buckets.
In the project's .env file, add the keys GOOGLE_CLOUD_PROJECT_ID and GOOGLE_CLOUD_STORAGE_BUCKET. These are required for connecting to, and reading and writing data from the storage bucket. These keys can be retrieved from the Google Cloud Console for the project.
After the configuration parameters have been retrieved from the Google Cloud Console, we can then create a new controller to allow file uploads to the bucket. To do that, generate a new controller using the command below:
In this article, we went through Google Cloud Platform and expanded into Google Cloud Storage, a service under GCP. Taking it a step further, we set up Google Cloud Storage on a Laravel boilerplate and sent files to a cloud bucket. If you need to set up an external storage system that is secure and scalable for your project, you should consider using the Google Cloud platform to kick start.
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To illustrate the behavior of Nova file upload fields, let's assume our application's users can upload "profile photos" to their account. So, our users database table will have a profile_photo column. This column will contain the path to the profile photo on disk, or, when using a cloud storage provider such as Amazon S3, the profile photo's path within its "bucket".
If you are using the public disk in conjunction with the local driver, you should run the php artisan storage:link Artisan command to create a symbolic link from public/storage to storage/app/public. To learn more about file storage in Laravel, check out the Laravel file storage documentation.
In addition to storing the path to the file within the storage system, you may also instruct Nova to store the original client filename and its size (in bytes). You may accomplish this using the storeOriginalName and storeSize methods. Each of these methods accept the name of the column you would like to store the file information:
The File field, as well as the Image and Avatar fields, may be marked as prunable. The prunable method will instruct Nova to delete the underlying file from storage when the associated model is deleted from the database:
However, if you would like to take total control over the file storage logic of a field, you may use the store method. The store method accepts a callable which receives the incoming HTTP request and the model instance associated with the request:
Here's another example of customizing the storage process. In this example, we're using the store method to store the original file in public storage, create thumbnails using Laravel's queue system, and finally populating values in the resource's media relationship:
The preview method accepts a callable which should return the preview URL. The field's underlying column value is passed to the callable as the first parameter, while the name of the field's storage disk is passed as the second parameter:
The thumbnail method accepts a callable which should return the thumbnail URL. The field's underlying column value is passed to the callable as the first parameter, while the name of the field's storage disk is passed as the second parameter:
Using any suitable option, upload your Laravel website's files to the website's files, 1 level above public_html. If your project is named laravel, your files structure will look like this:
If you want to use SQLITE, go to the File Manager, navigate to laravel/database/ and create the database.sqlite file. Next, open the laravel/.env file and update your database information. Just copy the path to your root directory and change public_html to laravel/database/database.sqlite. It should look like this:
Once you have created the database with either method, connect to your account via SSH, navigate to your laravel directory, and enter the following command to migrate all the files to a database:
Example:In this example, i have one folder "exist" with test.png image in storage. we will move this file to new folder "move" with rename file test_move.png. so let's see bellow code.Read Also: Laravel Copy File from One Folder to Another Example
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Using the -v and --rm flags with docker run creates an ephemeral container that will be bind-mounted to your current directory before being removed. This will copy the contents of your /laravel-app directory to the container and also ensure that the vendor folder Composer creates inside the container is copied to your current directory.
The app service is bind-mounting the /laravel-app folder, which contains the application code, to the /var/www folder in the container. This will speed up the development process, since any changes made to your local application directory will be instantly reflected inside the container. You are also binding your PHP configuration file, /laravel-app/php/local.ini, to /usr/local/etc/php/conf.d/local.ini inside the container. You will create the local PHP configuration file in Step 5.
The upload_max_filesize and post_max_size directives set the maximum allowed size for uploaded files, and demonstrate how you can set php.ini configurations from your local.ini file. You can put any PHP-specific configuration that you want to override in the local.ini file.
In the php location block, the fastcgi_pass directive specifies that the app service is listening on a TCP socket on port 9000. This makes the PHP-FPM server listen over the network rather than on a Unix socket. Though a Unix socket has a slight advantage in speed over a TCP socket, it does not have a network protocol and thus skips the network stack. For cases where hosts are located on one machine, a Unix socket may make sense, but in cases where you have services running on different hosts, a TCP socket offers the advantage of allowing you to connect to distributed services. Because our app container is running on a different host from our webserver container, a TCP socket makes the most sense for our configuration.
With your application running, you can migrate your data and experiment with the tinker command, which will initiate a PsySH console with Laravel preloaded. PsySH is a runtime developer console and interactive debugger for PHP, and Tinker is a REPL specifically for Laravel. Using the tinker command will allow you to interact with your Laravel application from the command line in an interactive shell.
Hi, I am able to successfully execute the docker-compose exec app nano .env command, but when trying to make changes to the .env file it is a read-only file and am unable to save any changes. I got around this by running docker exec -it -u root laravel-app bash but I was wondering if there is a better way to execute this?
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