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However, I have seen this updating of the primary key become a serious issue when developers use tools that generate SQL for them, and those tools update every single column, regardless of whether the end user actually modified that column or not For example, say that we use Oracle Forms and create a default layout on any table Oracle Forms by default will generate an update that modifies every single column in the table we choose to display If we build a default layout on the DEPT table and include all three fields, Oracle Forms will execute the following command whenever we modify any of the columns of the DEPT table: update dept set deptno=:1,dname=:2,loc=:3 where rowid=:4.

Both of these view controller classes have a ton of handy, commented method implementations in place to help us remember what we need to implement to get our table views up and running. We ll implement some of these methods later as we begin to add to our application s functionality. At this point, we have a great starting point to begin showing the list of stations in the initial table view. 10. First, we need to add a property to RootViewController so we have somewhere to store the list of station objects. Add an instance variable to RootViewController.h:

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Before we discuss updating data in buckets, let us spend a little time talking about best practices in using the DataServiceContext object , since we are going to apply these rules in our example. The following are best practices recommended for using DataServiceContext. Make the DataServiceContext object thread-safe, since the DataServiceContext does not support thread-safe access. Instantiate an instance of the DataServiceContext object every time you need to use it, since there is no mechanism for a DataServiceContext instance to persist its state in a thread. For instance, using the same DataServiceContext instance across all inserts, updates, and deletes may cause a failure. Each of these actions requires invoking the SaveChanges() method to commit the changes. If the same instance is used to do all these activities, the internal trace of the instance to the actual object may be lost when the instance is used across the different actions. DataServiceContext has MergeOption, which is used to control how the DataServiceContext handles the tracked entities. We covered this topic in the last section. Call AttachTo() before calling Insert(), Update(), or Delete() as the following snippet shows. This will cause the server to track the data entity with an ETag and make sure the action is applied to the correct entity. If the MergeOption of the context object is set to the value of AppendOnly and the entity is already being tracked by a previous action with the same DataServiceContext object instance, then a failure may occur and you may get the error message saying that the data have been tracked already.

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[decoder decodeValueOfObjCType:@encode(unsigned int) at:&room.buildingNo]; [decoder decodeValueOfObjCType:@encode(unsigned int) at:&room.roomNo]; } return self; } - (void)encodeWithCoder:(NSCoder*)encoder { [encoder encodeObject:startTime]; [encoder encodeObject:endTime]; [encoder encodeObject:timeZone]; [encoder encodeValueOfObjCType:@encode(unsigned int) at:&room.buildingNo]; [encoder encodeValueOfObjCType:@encode(unsigned int) at:&room.roomNo]; } The +initialize class method is used to set the version of the class before any instances of the class are created. See 21 for more about the +initialize method. At decode time, the object queries the coder to discover the version number of the class used to create the archive, and adjusts its decoding accordingly. Every time the encoding of your class changes, you must establish a new class version and update the decoder to handle all of the earlier formats you want to support. Class versioning cannot provide forward compatibility. That would require a time machine.

As many of you already know, it is quite possible that you will be integrating data from a variety of sources, and some of those sources may not have adopted XML as their data structure. Perhaps their system was designed and implemented prior to the XML revolution. Regardless of the reason, it may fall to you to import their data on their terms and structure. One common format that we all find ourselves dealing with is the flat file. Flat files come in all shapes and flavors: comma-separated, tab-delimited, pipe-separated, or just plain-old text in a single string. The list of available file construction methods can go on for quite some time. Fortunately with BizTalk, we have the tools to fight the madness. The Flat File Schema Wizard allows you to virtually dissect the incoming file and end with a manageable schema that is quick and easy to validate.

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