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Maybe, we am during a back of a bend though we have solemnly been removing in to LINQ as well as we have to confess which we similar to it. we can see myself apropos an addict. If you’re not a LINQ addict, we competence consternation what a bitch is about. SQL isn’t broken, so since repair it? Why do we need an additional querying language? From What we can see LINQ is many cleanser as well as during a higherlevel. There “might” be times when it is improved to work with SQL we suppose, though in many situations, operative in a difficult neat denunciation as well as not carrying to be concerned about lower-level sum is a large win. SQL is super aged as well as can get utterly messy. Queries can be unequivocally difficult to write during times. For example, demeanour during a SQL formula below:

SELECT TOP 10 UPPER (c1.Name) FROM Customer c1 WHERE ?? c1.Name LIKE ‘A%’ ?? AND c1.ID NOT IN ?? ( ????? SELECT TOP twenty c2.ID ????? FROM Customer c2 ????? WHERE c2.Name LIKE ‘A%’ ????? ORDER BY c2.Name ?? ) ORDER BY c1.Name

Not usually is this difficult as well as messy, though it violates a DRY element (Don’t Repeat Yourself). Here’s same question in LINQ. The great in morality is clear: var question = from c in db.Customers where c.Name.StartsWith (“A”) orderby c.Name select c.Name.ToUpper(); Another great of LINQ is which we can question opposite relations though carrying to join. For instance, suspect we wish to list all purchases done by business who live in Washington, whose purchased equipment surpass $1000 in sum value. This requires fasten opposite 4 tables (Purchase, Customer, Address as well as PurchaseItem). In LINQ, a question is effortless: from p in db.Purchases where p.Customer.Address.State == “WA” where p.PurchaseItems.Sum (pi => pi.SaleAmount) > 1000 select p No joining, organisation or disorderly subqueries. Extending this example, suspect we wish to list a purchases in retreat sequence of value, as well as we wish to embody a salesperson’s name as well as series of purchased equipment in a last projection: from p in db.Purchases where p.Customer.Address.State == “WA” let purchaseValue = p.PurchaseItems.Sum (pi => pi.SaleAmount) where purchaseValue > 1000 orderby purchaseValue descending select new { p.Description, p.Customer.SalesPerson.Name, PurchaseItemCount = p.PurchaseItems.Count() } Again, we have a clean, typesafe as well as composable question which follows a DRY principle. My indicate is which if we wish to write improved queries as well as we wish to do it quicker, we should demeanour in to LINQ. Despite a power, LINQ doesn’t depreciate SQL. It takes some-more than 95% of a querying brunt, though we still infrequently need SQL for: * Hand-tweaked queries (especially with optimization or locking hints) * Queries which engage selecting in to proxy tables, afterwards querying those tables * Predicated updates as well as bulk inserts And of march we still need SQL for triggers. (SQL’s additionally indispensable for stored procedures as well as functions, nonetheless a need for these crops up reduction mostly when you’re regulating LINQ). You can mix LINQ with SQL by essay table-valued functions in SQL, as well as afterwards job those functions inside of some-more blow up LINQ queries. Having to know dual querying languages is not unequivocally an emanate since you’ll wish to sense LINQ anyway—LINQ is so utilitarian for querying internal collections as well as XML DOMs. If you’re still regulating a aged XmlDocument-based DOM, you’ll find LINQ to XML’s DOM a thespian step up. And since LINQ is simpler to master than SQL, a idea of essay unequivocally great queries is some-more practicable with LINQ than with SQL.

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