![]() ![]() The provided callable must return the service to be passed to the DependencyFactory. The node factories is similar to services, with the difference that it accepts only callables.The services node allows you to provide custom services to the underlying DependencyFactory part of doctrine/migrations.# enable_profiler: false services: # Custom migration sorting service id 'Doctrine\Migrations\Version\Comparator' : ~ # Custom migration classes factory 'Doctrine\Migrations\Version\MigrationFactory' : ~ factories: # Custom migration sorting service id via callables (M圜allableFactory must be a callable) 'Doctrine\Migrations\Version\Comparator' : 'M圜allableFactory' transactional: true # Whether or not to enable the profiler collector to calculate and visualize migration status. check_database_platform: true # Whether or not to wrap migrations in a single transaction. all_or_nothing: false # Adds an extra check in the generated migrations to ensure that is executed on the same database type. em: default storage: # Default (SQL table) metadata storage configuration table_storage: table_name: 'doctrine_migration_versions' version_column_name: 'version' version_column_length: 192 executed_at_column_name: 'executed_at' # Possible values: "BY_YEAR", "BY_YEAR_AND_MONTH", false organize_migrations: false # Path to your custom migrations template custom_template: ~ # Run all migrations in a transaction. ![]() We can use this method to delete only the expired files e.g.57 # config/packages/doctrine_migrations.yaml doctrine_migrations: # List of namespace/path pairs to search for migrations, at least one required migrations_paths: 'App\Migrations' : '%kernel.project_dir%/src/App' 'AnotherApp\Migrations' : '/path/to/other/migrations' 'SomeBundle\Migrations' : # List of additional migration classes to be loaded, optional migrations: - 'App\Migrations\Version123' - 'App\Migrations\Version123' # Connection to use for the migrations connection: default # Entity manager to use for migrations. The Start Time and End Time values can also be parameterized. Delete Activity can be used in combination with the Datasetsettings, to delete files which were created within a certain time window (OR before/after a specific Date/time) This setting can be found under the Connection tab in the Dataset settings. ![]() This option provides an easy and flexible way to delete files dynamically.Īzure Data Factory: Delete Activity – Parameterize File Name Under the Source settings, there is an option to parameterize the items that we would like to delete.We can provide the folder path of the CSV file which will be populated with the names of the deleted file.Īzure Data Factory: Delete Activity CSV Folder Path There is an added benefit of using the Delete Activity, it allows you to log the list of deleted files or folder names in a CSV file. Delete a specific file or the entire folder: As a pre-requisite we need to create a Linked Service to the data store where the files (or the folder) are stored and provide the Linked service name in the Delete Activity settings.The Delete Activity can be used in the following three ways depending on the use case: The Delete Activity can be found under General section in Data Factory Studio UI : Azure Data Factory: Delete Activity Data Factory has an activity to do just that, and it is aptly named the Delete Activity. Once the data has been successfully copied to the final table, the data stored in the temporary storage area becomes redundant and is no longer needed. ![]() This will most likely be applicable to be a temporary storage area (such as Staging Area or Landing Zone), where data needs to be stored before it can be copied the final table (usually a Data Warehouse table). Sometimes during data load, there are scenarios where we would like to delete the existing files or folder and start with a clean slate. ![]()
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