- SAVE DATABASE OBJECT IN ICOLLECTIONS HOW TO
- SAVE DATABASE OBJECT IN ICOLLECTIONS UPDATE
- SAVE DATABASE OBJECT IN ICOLLECTIONS FULL
- SAVE DATABASE OBJECT IN ICOLLECTIONS CODE
We can modify the label on each field - but we can also add or modify the help text to make everything really clear. But here's something that's really practical, especially if we're iterating on this while working with collaborators. We can change the name, do all the other stuff you'd expect here. From our collection we can access Settings. We'll quickly cover modifying collection settings, making changes to individual items inside our collection, and even changing multiple items at once.įrom the CMS, we can go into our collection. Then we can convert DTO objects to record objects in line 12.Once a collection has been created, or even down the road once your project has been completed and published, you can go in at any time and make a number of changes to a collection or any of the items inside. In the following code, we define a record type DepartmentNameCacheRecord with two properties, Id and Name, in line 1. NET 5 yet, then you can use the ImmutableList type (more details can be found in my other article: A Use Case of Immutable Collections).
To accomplish that, we are going to adopt the record type introduced in C# 9. The goal is to make all individual items in the IReadOnlyList immutable. Now let’s see what we can do to improve the logic. In this way, we can be consistent with the one and only one source for the cached department names, which is read from an instance of IDepartmentsRepository.
SAVE DATABASE OBJECT IN ICOLLECTIONS UPDATE
In order to update an item in the cached read-only list, instead of updating it from anywhere, we need to first remove the whole cached collection, and then query data from the IDepartmentsRepository to cache it. However, we should centralize the logic of getting/updating cache entries inside the class CachedDepartmentNames.
SAVE DATABASE OBJECT IN ICOLLECTIONS CODE
The code is totally valid, and some developers may favor this behavior because they think they can gracefully update cached values and entity values consistently. In this case, we usually model the department name as a data transfer object (DTO) DepartmentNameDto like below. Since the list of department names is repeatedly being used in the application, and its value won’t change often, the list of department names is a perfect candidate for a caching object. In our application, we are interested in the department names, which can be passed to the front end to render them as a dropdown list for selection and can be used in the back end as an in-memory lookup table to join with other entities. The list of departments should change infrequently, maybe at most once or twice a year. Let’s assume that we model a department in a company or an organization as a Department class.
SAVE DATABASE OBJECT IN ICOLLECTIONS FULL
You can find the full solution in my GitHub repository. I will also introduce a simple way to unit test the caching services or repositories which depend on the IMemor圜ache.
To improve the implementation, next, I will show you a way to create immutable collections as cache objects by using IReadOnlyList and record. In this article, I will first present an example cache service that allows us to mutate a cached entry, which is an undesired outcome in most cases. In other words, if not designed carefully, the cached values could be mutated accidentally in code.
SAVE DATABASE OBJECT IN ICOLLECTIONS HOW TO
However, few of them have mentioned how to ensure the consistency of cached values at runtime. There are many introductory articles talking about using the IMemor圜ache to store data in the memory of the webserver. Among these caching techniques, IMemor圜ache, the simplest cache, is included in an ASP.NET Core web project by default and works natively with dependency injection. ASP.NET Core provides several caching libraries, including in-memory caching, distributed caching, and many others. Thus we can take advantage of caching to boost our application’s performance. Caching is a common technique to reduce the number of trips for fetching data that seldom changes.
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