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The NewRow method creates a data row (a System.Data.DataRow instance). You used the data row s indexer to assign values to its columns. Finally, you added the new row to the data table, calling the Add method on the data table s Rows property, which references the rows collection. Note that you don t provide a value for EmployeeID since it s an IDENTITY column. If you persisted the changes to the database, then SQL Server would automatically provide a value for it. Updating data sources requires learning more about data adapter methods and properties. Let s take a look at these now.



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Performs a case-sensitive containment test: Entry.objects.get(headline__contains='Lennon') This will match the headline 'Today Lennon honored' but not 'today lennon honored'. SQLite doesn t support case-sensitive LIKE statements; when using SQLite, contains acts like icontains.

You ve seen how a data adapter populates a dataset s data tables. What you haven t looked at yet is how a data adapter updates and synchronizes a data source with data from a dataset. It has three properties that support this (analogous to its SelectCommand property that supports queries): UpdateCommand InsertCommand DeleteCommand We ll describe each of these properties briefly and then put them to work.





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The usefulness of the Filter class is that it can be used as a base class (superclass) for other classes, such as SPAMFilter, which filters out 'SPAM' from sequences: >>> s = SPAMFilter() >>> s.init() >>> s.filter(['SPAM', 'SPAM', 'SPAM', 'SPAM', 'eggs', 'bacon', 'SPAM']) ['eggs', 'bacon'] Note two important points in the definition of SPAMFilter: I override the definition of init from Filter by simply providing a new definition. The definition of the filter method carries over (is inherited) from Filter, so you don t have to write the definition again. The second point demonstrates why inheritance is useful: I can now make a number of different filter classes, all subclassing Filter, and for each one I can simply use the filter method I have already implemented. Talk about useful laziness...

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The field lookups that equate to LIKE SQL statements (iexact, contains, icontains, startswith, istartswith, endswith, and iendswith) will automatically escape the two special characters used in LIKE statements: the percent sign and the underscore. (In a LIKE statement, the percent sign signifies a multiple-character wildcard and the underscore signifies a single-character wildcard.) This means things should work intuitively, so the abstraction doesn t leak. For example, to retrieve all the entries that contain a percent sign, just use the percent sign as any other character: Entry.objects.filter(headline__contains='%') Django takes care of the quoting for you. The resulting SQL will look something like this: SELECT ... WHERE headline LIKE '%\%%'; The same goes for underscores. Both percentage signs and underscores are handled for you transparently.

The UpdateCommand property of the data adapter holds the command used to update the data source when the data adapter s Update method is called. For example, to update the City column in the Employees table with the data from a data table, one approach is to write code such as the following (where da is the data adapter, dt is the data table, conn is the connection, and ds is the dataset):

Performs a case-insensitive containment test: >>> Entry.objects.get(headline__icontains='Lennon') Unlike contains, icontains will match 'today lennon honored'.

' Create command to update Employees City column Dim da as SqlDataAdapter = new SqlCommand( _ "update employees " _ & "set " _ & " city = "_ & "'" & dt.Rows(0)("city") & "' "_ & "where employeeid = " _ & "'" & dt.Rows(0]("employeeid") & "' " _ , conn) ' Update Employees table da.Update(ds, "employees")

If you want to find out whether a class is a subclass of another, you can use the built-in method issubclass: >>> issubclass(SPAMFilter, Filter) True >>> issubclass(Filter, SPAMFilter) False

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