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By adding more fields in the GROUP BY clause, we can get more detailed information. If we wanted to find the equivalent of Listing 8-21 for each year, we could remove the WHERE clause and group by both year and tournament ID. Listing 8-22 shows the SQL, and Figure 8-7 shows how the grouping on both fields works. In Figure 8-7, I ve ordered the rows in the Entry table by TourID and Year so that it is easier to see the grouping.

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print id #set player and shelve player = Player(id, first, last, position) self.player_data[str(id)] = player print "Player successfully added to the roster\n" add_new = raw_input("Add another (Y or N)") self.make_selection() def print_roster(self): ''' Prints the contents of the list to the command line as a report ''' print "====================\n" print "Complete Team Roster\n" print "======================\n\n" player_list = self.return_player_list() for player in player_list: print "%s %s - %s" % (player_list[player].first, player_list[player].last, player_list[player].position) print "\n" print "=== End of Roster ===\n" self.make_selection() def search_roster(self): ''' Takes input from the command line for a player's name to search within the roster list. If the player is found in the list then an affirmative message is printed. If not found, then a negative message is printed. ''' index = 0 found = False print "Enter a player name below to search the team\n" first = raw_input("First Name: ") last = raw_input("Last Name: ") position = None player_list = self.return_player_list() for player_key in player_list: player = player_list[player_key] if player.first.upper() == first.upper() and \ player.last.upper() == last.upper(): position = player.position if position: print '%s %s is in the roster as %s' % (first, last, position) else: print '%s %s is not in the roster.' % (first, last) self.make_selection() def remove_player(self): '''

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You ve seen three different approaches for creating schemas: declaring all elements and attributes within a single element (Russian doll), defining global elements using the ref data type, and defining named data types. In general, if you re creating a schema specific to a document, the Russian doll approach works well. If you re creating a schema that you might use for several different document instances, it may be more flexible to use global definitions for at least some of your elements. If you always want an element to be referenced by the same name, then define it as an element. Where there s a chance that elements with different names might be of the same structure, define a data type. For example, say you have a document that contains an address that you use for multiple purposes, such as a postal address, a street address, and a delivery address. One approach would be to reuse an <address> element throughout the document. However, if you want to

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Removes a player from the list ''' index = 0 found = False print "Enter a player name below to remove them from the team roster\n" first = raw_input("First Name: ") last = raw_input("Last Name: ") position = None player_list = self.return_player_list() found_player = None for player_key in player_list: player = player_list[player_key] if player.first.upper() == first.upper() and \ player.last.upper() == last.upper(): found_player = player break if found_player: print '''%s %s is in the roster as %s, are you sure you wish to remove ''' % (found_player.first, found_player.last, found_player.position) yesno = raw_input("Y or N") if yesno.upper() == 'Y': # remove player from shelve print 'The player has been removed from the roster', found_player.id del(self.player_data[str(found_player.id)]) else: print 'The player will not be removed' else: print '%s %s is not in the roster.' % (first, last) self.make_selection() def return_player_list(self): return self.player_data def return_player_count(self): return len(self.player_data) # main # # This is the application entry point. It simply prints the applicaion title # to the command line and then invokes the makeSelection() function. if __name__ == "__main__": print "Hockey Roster Application\n\n" hockey = HockeyRoster() hockey.make_selection() The code should be relatively easy to follow at this point in the book. The main function initiates the process as expected, and as you see it either creates or obtains a reference to the shelve or dictionary where the roster is stored. Once this occurs the processing is forwarded to the make_selection() function that drives the program. The important thing to note here is that, when using Netbeans, the code is laid

Listing 8-22. Find the Number of Entries in Each Tournament for Each Year SELECT TourID, Year, COUNT(*) AS NumEntries FROM Entry GROUP BY TourID, Year

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