Skip to main content

ConvertAll - Conversia unei liste mult mai usor

Avem urmatorul scenariu. O lista de elemente de tip A, pe care trebuie sa o convertim la o lista de tip B. Pentru a putea rezolva aceasta problema putem să implementam operatorul implicit sau explicit de conversie, iar apoi să iteram prin lista pentru a face conversia la tipul B.
List<A> listaA;
List<B> listaB;
...
foreach(A a in listaA)
{
listaB.Add(a);
}

sau
listaB.foreach(item=>listaB.Add(item));
Ambele soluții sunt rezonabile, dar e puțin mai greu de înțeles ca in spate se face o conversie. Pentru a face codul mai clar putem să facem in felul următor:
listaB = listaA.ConvertAll<B>(item => item)
Ce am scris mai sus? Fiecare element din listaA convertestel in tipul B si adaug-al in colecția care rezulta. item => item am putut sa scrie deoarece am presupus ca un operator de conversie implicita sau explicita intre cele doua tipuri a fost deja implementat.
In cazul in care acesta nu ar fi implementat am avea ceva asemanator:
Din
private B ConvertAToB(A a) { return new B(); ... }
...
List<A> listaA;
List<B> listaB;
...
foreach(A a in listaA)
{
listaB.Add(ConvertAToB(a));
}
Am avea:
private B ConvertAToB(A a) { return new B(); ... }
...
listaB = listaA.ConvertAll<B>(item => ConvertAToB(item));
Cea ce am scris mai sus se poate scrie si:
listaB = listaA.ConvertAll<B>(ConvertAToB);
Chiar daca folosim ConvertAll obtinem acelasi rezultat, doar ca folosind ConvertAll obtinem un cod mai clar. Urmatorul dezvoltator care o sa vina dupa noi o sa inteleaga ca aici facem oconversie.

Comments

Popular posts from this blog

Why Database Modernization Matters for AI

  When companies transition to the cloud, they typically begin with applications and virtual machines, which is often the easier part of the process. The actual complexity arises later when databases are moved. To save time and effort, cloud adoption is more of a cloud migration in an IaaS manner, fulfilling current, but not future needs. Even organisations that are already in the cloud find that their databases, although “migrated,” are not genuinely modernised. This disparity becomes particularly evident when they begin to explore AI technologies. Understanding Modernisation Beyond Migration Database modernisation is distinct from merely relocating an outdated database to Azure. It's about making your data layer ready for future needs, like automation, real-time analytics, and AI capabilities. AI needs high throughput, which can be achieved using native DB cloud capabilities. When your database runs in a traditional setup (even hosted in the cloud), in that case, you will enc...

Cloud Myths: Migrating to the cloud is quick and easy (Pill 2 of 5 / Cloud Pills)

The idea that migration to the cloud is simple, straightforward and rapid is a wrong assumption. It’s a common misconception of business stakeholders that generates delays, budget overruns and technical dept. A migration requires laborious planning, technical expertise and a rigorous process.  Migrations, especially cloud migrations, are not one-size-fits-all journeys. One of the most critical steps is under evaluation, under budget and under consideration. The evaluation phase, where existing infrastructure, applications, database, network and the end-to-end estate are evaluated and mapped to a cloud strategy, is crucial to ensure the success of cloud migration. Additional factors such as security, compliance, and system dependencies increase the complexity of cloud migration.  A misconception regarding lift-and-shits is that they are fast and cheap. Moving applications to the cloud without changes does not provide the capability to optimise costs and performance, leading to ...

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills)

Cloud Myths: Cloud is Cheaper (Pill 1 of 5 / Cloud Pills) The idea that moving to the cloud reduces the costs is a common misconception. The cloud infrastructure provides flexibility, scalability, and better CAPEX, but it does not guarantee lower costs without proper optimisation and management of the cloud services and infrastructure. Idle and unused resources, overprovisioning, oversize databases, and unnecessary data transfer can increase running costs. The regional pricing mode, multi-cloud complexity, and cost variety add extra complexity to the cost function. Cloud adoption without a cost governance strategy can result in unexpected expenses. Improper usage, combined with a pay-as-you-go model, can result in a nightmare for business stakeholders who cannot track and manage the monthly costs. Cloud-native services such as AI services, managed databases, and analytics platforms are powerful, provide out-of-the-shelve capabilities, and increase business agility and innovation. H...