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the Python interpreter, but we prefer this approach because it ensures that the child program uses the same Python interpreter as the parent program Once we have the command ready we create a subprocessPopen object, specifying the command to execute (as a list of strings), and in this case requesting to write to the process s standard input (It is also possible to read a process s standard output by setting a similar keyword argument) We then write the search word followed by a newline and then every le in the relevant slice of the le list The subprocess module reads and writes bytes, not strings, but the processes it creates always assume that the bytes received from sysstdin are strings in the local encoding even if the bytes we have sent use a different encoding, such as UTF-8 which we have used here We will see how to get around this annoying problem shortly Once the word and the list of les have been written to the child process, we close its standard input and move on It is not strictly necessary to keep a reference to each process (the pipe variable gets rebound to a new subprocessPopen object each time through the loop), since each process runs independently, but we add each one to a list so that we can make them interruptible Also, we don t gather the results together, but instead we let each process write its results to the console in its own time This means that the output from different processes could be interleaved (You will get the chance to avoid interleaving in the exercises)

while pipes: pipe = pipespop() pipewait()

Figure 538 Queue that ensures at most one thread can access the data structure at one time Unlike the first shared queue example, if the queue is empty, the thread waits When used in a master/worker algorithm, a poison pill would be required to signal termination to a thread

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Once all the processes have started we wait for each child process to nish This is not essential, but on Unix-like systems it ensures that we are returned to the console prompt when all the processes are done (otherwise, we must press Enter when they are all nished) Another bene t of waiting is that if we interrupt the program (eg, by pressing Ctrl+C), all the processes that are still running will be interrupted and will terminate with an uncaught KeyboardInterrupt exception if we did not wait the main program would nish (and therefore not be interruptible), and the child processes would continue (unless killed by a kill program or a task manager) Apart from the comments and imports, here is the complete grepword-pchildpy program We will look at the program in two parts with two versions of the rst part, the rst for any Python 3x version and the second for Python 31 or later versions:

Unique constraints are used to ensure that you have no duplicate values in a column Unique constraints can be attached to one or more columns depending on your needs If you attach a unique constraint to one column, that single column can contain no duplicated data If you attach it to multiple columns, then the combination of data between those columns cannot be duplicated in another row In other words, each column involved in a multicolumn constraint can have duplicates, but when you look at all the columns together you are not allowed to have repeats Unique constraints are used frequently in SQL Server Mountain View Music uses them to ensure that key pieces of data are unique for example, order ID If two customers get the same order ID for different orders, they might get the wrong product or no product at all To avoid this, we add a unique constraint to the ordernumber column in tbl_order

BLOCK_SIZE = 8000 number = "{0}: "format(sysargv[1]) if len(sysargv) == 2 else "" stdin = sysstdinbufferread() lines = stdindecode("utf8", "ignore")splitlines() word = lines[0]rstrip()

public class SharedQueue2 { class Node { Object task; Node next; Node(Object task) {thistask = task; next = null;}

The program begins by setting the number string to the given number or to an empty string if we are not debugging Since the program is running as a child process and the subprocess module only reads and writes binary data and always uses the local encoding, we must read sysstdin s underlying buffer of binary data and perform the decoding ourselves Once we have read the binary data, we decode it into a Unicode string and split it into lines The child process then reads the rst line, since this contains the search word Here are the lines that are different for Python 31:

sysstdin = sysstdindetach() stdin = sysstdinread() lines = stdindecode("utf8", "ignore")splitlines()

ALTER TABLE dbotbl_order ADD CONSTRAINT UNQ_ordernumber UNIQUE NONCLUSTERED (ordernumber)

Python 31 provides the sysstdindetach() method that returns a binary le object We then read in all the data, decode it into Unicode using the encoding of our choice, and then split the Unicode string into lines

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