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When adding new entities that must be related to other entities, you normally indicate the relationships with the corresponding navigation properties. In this example, you could add the new SalesOrderDetail object to a SalesOrderHeader object s SalesOrder Details navigation property since a header may have many related details, the property is a collection and offers an Add method. Or you can work with the other end of the relationship as Example 14-18 does. This is the usual way to deal with the relationships of a newly created entity setting foreign key properties directly as we did for the other relationships here is somewhat unusual. We did that only because our EDM does not include all of the relevant entities we represent only three of the tables because a complete model for this particular example would have been too big to fit legibly onto a single page. There may also be situations where you know that in your particular application, the key values required will never change, and you might choose to cache those key values to avoid the overhead of involving additional entities. We ve seen how to update existing data and add new data. This leaves deletion. It s pretty straightforward: if you have an entity object, you can pass it to the context s DeleteObject method, and the next time you call SaveChanges, the EF will attempt to delete the relevant row, as shown in Example 14-19.

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How to Generate Code 128 Barcode in RDLC Reports
RDLC reports, created by the Visual Studio ReportViewer control based on Report Definition Language Client Side, are local reports and completely run in local ...

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Have you tried anything so far? Have you tried searching this ijnn Google? Ok. If you still want some suggestions then check following article-

Tip: If your kernel looks good during boot-up but then hangs somewhere in the middle, that can be fixed. You

dbContext.DeleteObject(detail); dbContext.SaveChanges();

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As with any kind of change to the database, this will succeed only if it does not violate any of the database s integrity constraints. For example, deleting an entity at the one end of a one-to-many relationship may fail if the database contains one or more rows at the many end that are related to the item you re trying to delete. (Alternatively, the database might automatically delete all related items SQL Server allows a constraint to require cascading deletes. This takes a different approach to enforcing the constraint rather than rejecting the attempt to delete the parent item, it deletes all the children automatically.) Example 14-18 adds new information that relates to information already in the database it adds a new detail to an existing order. This is a very common thing to do, but it raises a challenge: what if code elsewhere in the system was working on the same data Perhaps some other computer has deleted the order you were trying to add detail for. The EF supports a couple of common ways of managing this sort of hazard: transactions and optimistic concurrency.

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Transactions are an extremely useful mechanism for dealing with concurrency hazards efficiently, while keeping data access code reasonably simple. Transactions provide the illusion that each individual database client has exclusive access to the entire database

can find a troubleshooting tactic specifically for that scenario in 19 in the My new kernel is stuck! section.

for as long as it needs to do a particular job it has to be an illusion because if clients really took it in turns, scalability would be severely limited So transactions perform the neat trick of letting work proceed in parallel except for when that would cause a problem as long as all the transactions currently in progress are working on independent data they can all proceed simultaneously, and clients have to wait their turn only if they re trying to use data already involved (directly, or indirectly) in some other transaction in progress The classic example of the kind of problem transactions are designed to avoid is that of updating the balance of a bank account.

Consider what needs to happen to your account when you withdraw money from an ATM the bank will want to make sure that your account is debited with the amount of money withdrawn This will involve subtracting that amount from the current balance, so there will be at least two operations: discovering the current balance, and then updating it to the new value (Actually it ll be a whole lot more complex than that there will be withdrawal limit checks, fraud detection, audit trails, and more But the simplified example is enough to illustrate how transactions can be useful) But what happens if some other transaction occurs at the same time Maybe you happen to be making a withdrawal at the same time as the bank processes an electronic transfer of funds If that happens, a problem can arise.

Suppose the ATM transaction and the electronic transfer both read the current balance perhaps they both discover a balance of $1,234 Next, if the transfer is moving $1,000 from your account to somewhere else, it will write back a new balance of $234 the original balance minus the amount just deducted But there s the ATM transfer suppose you withdraw $200 It will write back a new balance of $1,034 You just withdrew $200 and paid $1,000 to another account, but your account only has $200 less in it than before rather than $1,200 that s great for you, but your bank will be less happy (In fact, your bank probably has all sorts of checks and balances to try to minimize opportunities such as this for money to magically come into existence So they d probably notice such an error even if they weren t using transactions.

To fully appreciate the kernel compilation process, try to follow the steps I just described on your own system. First, get as much of the information about your hardware as you can. You can use tools such as lspci and lshw for example. Second, configure the kernel according to your system. Third, build the kernel using the make commands discussed. Finally, test the new kernel on your system.

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