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The report ID is validated when the Incident is created and is available as the read-only report_id property All the other data attributes are read/write properties For example, here is the date property s code:

Because the two internal methods, and , each create a class, they each open separate connections to the database new opens the rst connection in the transaction, the transaction When is part of a local transaction but not a distributed one When it opens the second connection, the transaction is escalated to a distributed transaction so the work can be coordinated across both connections The method prints out the and the of executes withthe transaction, as shown in Figure 510 Notice that out a distributed transaction, because it is the only connection open in the executes, it creates a distribtransaction at that time But when the uted transaction since it is the second connection open with the transaction scope Escalation happens automatically and has a dramatic negative effect on performance Listing 517 shows the optimized code, where the transfer operation and passes that connection to both opens a connection through and so that only one connection is used

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@property def date(self): return self__date @datesetter def date(self, date): assert isinstance(date, datetimedate), "invalid date" self__date = date

All the other properties follow the same pattern, differing only in the details of their assertions, so we won t reproduce them here Since we have used assertions, the program will fail if an attempt is made to create an Incident with invalid data, or to set one of an existing incident s read/write properties to an invalid value We have chosen this uncompromising approach because we want to be sure that the data we save and load is always valid, and if it isn t we want the program to terminate and complain rather than silently continue The collection of incidents is held as an IncidentCollection This class is a dict subclass, so we get a lot of functionality, such as support for the item access operator ([]) to get, set, and delete incidents, by inheritance Here is the class line and a few of the class s methods:

ArrayStoreException [View full width]

class IncidentCollection(dict): def values(self): for report_id in selfkeys(): yield self[report_id] def items(self): for report_id in selfkeys(): yield (report_id, self[report_id]) def __iter__(self): for report_id in sorted(super()keys()): yield report_id keys = __iter__

Figure 511 shows the output from the optimized service Notice that the distributed transaction ID stays as all 0s, indicating that no distributed transaction is present

We have not needed to reimplement the initializer since dict__init__() is suf cient The keys are report IDs and the values are Incidents We have reimplemented the values(), items(), and keys() methods so that their iterators

work in report ID order This works because the values() and items() methods iterate over the keys returned by IncidentCollectionkeys() and this method (which is just another name for IncidentCollection__iter__()), iterates in sorted order over the keys provided by the base class dictkeys() method In addition, the IncidentCollection class has export() and import_() methods (We use the trailing underscore to distinguish the method from the built-in import statement) The export() method is passed a lename, and optionally a writer and a compress ag, and based on the lename and writer, it hands off the work to a more speci c method such as export_xml_dom() or export_xml_etree() The import_() method takes a lename and an optional reader and works similarly The import methods that read binary formats are not told whether the le is compressed they are expected to work this out for themselves and behave appropriately

ArrayStoreException() ArrayStoreException(String s)

Binary formats, even without compression, usually take up the least amount of disk space and are usually the fastest to save and load Easiest of all is to use pickles, although handling binary data manually should produce the smallest le sizes

Implementing Transactions (Operation Behavior)

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