Soft delete is a widely used pattern in business applications. We will talk about its pros and cons and common challenges faced during implementation.
Implementing soft delete is easy! You just add the “Is_Deleted” or “Delete_Date” column to your tables (or attributes to your Document) and replace all delete statement invocations in your application code to updates. And yes, you need to modify all retrieve statements to take into account this new attribute. Or is it better to create a view? Or a materialized view? In this case, we may need to implement “instead of” triggers or stored procedures API to deal with views. And by deleting an entity you may want to delete some attributes it refers to. In this case, to be able to restore it is also required to store the deletion context. And… this is where a developer’s life gets complicated. Challenges of Soft Deletion In fact, implementing a “proper” soft delete is not an easy task. Sometimes developers choose NOT to implement soft delete just because it takes a lot of effort. You might think about other options like table mirroring with the special “trash can” table that contains deleted records from the “original” table. Application Support. Make sure ALL queries mentioning soft-deleted entities are double-checked, otherwise it can lead to unexpected data leaks and critical performance issues. In the ideal world, a developer should not be aware of soft delete existence. So, if possible, try to introduce your data access API and prevent developers from using other facilities to access a database (like direct JDBC connection). You might even want to override standard APIs like JPA’s Entity Manager to support soft delete properly.
What is OpenJDK? OpenJDk or Open Java Development Kit is a free, open-source framework of the Java Platform, Standard Edition (or Java SE).
In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.
Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.
In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.
Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).