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times Be aware of what you are doing in your trigger, and try to keep the code as quick and efficient as possible Where does Mountain View Music use triggers One is on tbl_ payment to ensure that we get all the information we need based on the payment type You will remember we decided to implement payments in a single table even though we can accept three payment methods: gift cards, credit cards, and direct bank draft To accommodate this, all the columns in tbl_payment that don t pertain to all payment types allow NULL data Obviously, if the customer pays with a credit card, we require the credit card number, expiration date, type, and credit card verification (CCV) code To enforce the required data to be present, we use the following trigger

when it is ready No other threadingThread methods may be reimplemented, although adding additional methods is ne

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In this subsection we will review the code for the grepword-tpy program This program does the same job as grepword-ppy, only it delegates the work to multiple threads rather than to multiple processes It is illustrated schematically in Figure 103 One particularly interesting feature of the program is that it does not appear to use any locks at all This is possible because the only shared data is a list of les, and for these we use the queueQueue class What makes queueQueue special is that it handles all the locking itself internally, so whenever we access it to add or remove items, we can rely on the queue itself to serialize accesses In the context of threading, serializing access to data means ensuring that only one thread at a time has access to the data Another bene t of using queueQueue is that we don t have to share out the work ourselves; we simply add items of work to the queue and leave the worker threads to pick up work whenever they are ready The queueQueue class works on a rst in, rst out (FIFO) basis; the queue module also provides queueLifoQueue for last in, rst out (LIFO) access, and queuePriorityQueue which is given tuples such as the 2-tuple (priority, item), with items with the lowest priority numbers being processed rst All the queues can be created with a maximum size set; if the maximum size is reached the queue will block further attempts to add items until items have been removed We will look at the grepword-tpy program in three parts, starting with the complete main() function:

if (!isEmpty( )){}

def main(): opts, word, args = parse_options() filelist = get_files(args, optsrecurse) work_queue = queueQueue() for i in range(optscount): number = "{0}: "format(i + 1) if optsdebug else "" worker = Worker(work_queue, word, number) workerdaemon = True workerstart() for filename in filelist: work_queueput(filename) work_queuejoin()

grepword-tpy main thread thread #1 thread #2 thread #3

CREATE TRIGGER trg_payment_data ON dbotbl_payment FOR INSERT, UPDATE AS DECLARE @payment_type tinyint ,@cc_type varchar(16) ,@cc_number bigint ,@cc_expire date ,@ccv_code smallint ,@gc_number bigint ,@account_number bigint ,@routing_number int ,@license_number varchar(20) ,@license_state char(10) SELECT @payment_type = payment_type ,@cc_type = cc_type ,@cc_number = cc_number ,@cc_expire = cc_expire ,@ccv_code = ccv_code ,@gc_number = gc_number ,@account_number = account_number ,@routing_number = routing_number ,@license_number = license_number ,@license_state = license_state FROM inserted

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while(isEmpty()) {try{wait()}catch(InterruptedException ignore){}}{}

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