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When a data reader returns a value from a data source, the resulting value is retrieved and stored locally in a .NET type rather than the original data source type. This in-place type conversion feature is a trade-off between consistency and speed, so to give some control over the data being retrieved, the data reader exposes typed accessor methods that you can use if you know the specific type of the value being returned. Typed accessor methods all begin with Get, take an ordinal index for data retrieval, and are type safe; VB won t allow you to get away with unsafe casts. These methods turn out to be faster than both the ordinal and the column name indexer methods. Being faster than column name indexing seems only logical, as the typed accessor methods take ordinals for referencing; however, we need to explain how it s faster than ordinal indexing. This is because even though both techniques take in a column number, the conventional ordinal indexing method needs to look up the data source data type of the result and then go through a type conversion. This overhead of looking up the schema is avoided with typed accessors. .NET types and typed accessor methods are available for almost all data types supported by SQL Server and OLE DB databases. Table 7-1 should give you a brief idea of when to use typed accessors and with what data type. It lists SQL Server data types, their corresponding .NET types, .NET typed accessors, and special SQL Server specific typed accessors designed particularly for returning objects of type System.Data.SqlTypes.



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The final type of string constant is the Unicode string (or Unicode object they don t really belong to the same type as strings). If you don t know what Unicode is, you probably don t need to know about this. (If you want to find out more about it, you can go to the Unicode Web site, www.unicode.org.) Normal strings in Python are stored internally as 8-bit ASCII, while Unicode strings are stored as 16-bit Unicode. This allows for a more varied set of characters, including special characters from most languages in the world. I ll restrict my treatment of Unicode strings to the following: >>> u'Hello, world!' u'Hello, world!' As you can see, Unicode strings use the prefix u, just as raw strings use the prefix r.





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If True, the field is allowed to be blank. The default is False. Note that this is different from null. null is purely database related, whereas blank is validation related. If a field has blank=True, validation on Django s admin site will allow entry of an empty value. If a field has blank=False, the field will be required.

bigint binary bit char datetime decimal float image or long varbinary int money nchar ntext numeric nvarchar real smalldatetime smallint smallmoney sql_variant long varchar timestamp tinyint uniqueidentifier varbinary varchar

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An iterable (e.g., a list, tuple, or other iterable Python object) of two-tuples to use as choices for this field. If this is given, Django s admin interface will use a select box instead of the standard text field and will limit choices to the choices given. A choices list looks like this: YEAR_IN_SCHOOL_CHOICES = ( ('FR', 'Freshman'), ('SO', 'Sophomore'), ('JR', 'Junior'), ('SR', 'Senior'), ('GR', 'Graduate'), ) The first element in each tuple is the actual value to be stored. The second element is the human-readable name for the option. The choices list can be defined either as part of your model class, as follows: class Foo(models.Model): GENDER_CHOICES = ( ('M', 'Male'), ('F', 'Female'), ) gender = models.CharField(maxlength=1, choices=GENDER_CHOICES) or outside your model class altogether: GENDER_CHOICES = ( ('M', 'Male'), ('F', 'Female'), ) class Foo(models.Model): gender = models.CharField(maxlength=1, choices=GENDER_CHOICES)

Int64 Byte[] Boolean String or Char[] DateTime Decimal Double Byte[] Int32 Decimal String or Char[] String or Char[] Decimal String or Char[] Single DateTime Int16 Decimal Object String or Char[] Byte[] Byte Guid Byte[] String or Char[]

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