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Several of the constraints involve relationships. A SalesOrderDetail row must be related to a particular row in the Product table, because that s how we know what products the customer has ordered. We ve not defined an entity type corresponding to the Product table, so Example 14-18 just plugs in the relevant foreign key value directly. The database also requires that each SalesOrderDetail row be related to exactly one SalesOrderHeader row remember that this was one of the one-to-many relationships we saw earlier. (The header has a multiplicity of one, and the detail has a multiplicity of many.) The constraint in the database requires the SalesOrderID foreign key column in each SalesOrderDetail row to correspond to the key for an existing SalesOrder Header row. But unlike the ProductID column, we don t set the corresponding property directly on the entity. Instead, the second line of Example 14-18 sets the new entity s SalesOrderHeader property, which as you may recall is a navigation property.

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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This is what real productivity looks like This is the Formula 1 racecar It looks weird, but it goes fast Of course, big companies won t be able to do everything these startups do In big companies there s always going to be more politics, and less scope for individual decisions But seeing what startups are really like will at least show other organizations what to aim for The time may soon be coming when instead of startups trying to seem more corporate, corporations will try to seem more like startups That would be a good thing Paul Graham.

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

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.

One log of note in the ~/Library/Logs folder is DiskUtilitylog This log file stores all the activities run by the Disk Utility application, including fixing permissions, fixing the disk, and reformatting The Disk Utility logs do not get rotated, or cleared out on a routine basis, which makes them particularly useful if you are investigating suspicious behavior on the system Let s say you suspect that the hard drive was reformatted By reviewing DiskUtilitylog for each user on a system, you will find who reformatted a hard drive as well as any settings that were customized during the reformat process The following is a sample Disk Utility log: ********** Jul 30 23:43:08: Disk Utility started Preparing to partition disk: "SWISSBIT Victorinox Media" Partition Scheme: Apple Partition Scheme Mac OS 9 Disk Drivers installed 1 partitions will be created Partition 1 Name : "Free Space" Size : 61.

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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

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