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You can perform INSERT, UPDATE, and DELETE operations against the customer_address view as long as you reference only the customer table or the address table You may be asking yourself, Why would I use a view instead of just referencing the tables directly There are several reasons to use views in your database First, you can use a view to obscure the complexity of the underlying tables If you have a single view that displays customer and address information, developers or end users can access the information they need from the view instead of needing to go to both tables This technique eliminates the need for users to understand the entire database; they can focus on a single object You gain an exponential benefit when you start working with many base tables in a single view Using views also allows you to change the tables or the location where the data is stored without affecting users In the end, as long as you update the view definition so that it accommodates the table changes you made, your users will never need to know that there was a change You can also use views to better manage security If you have users who need to see some employee data but not sensitive data such as social security numbers or salary, you can build a view that displays only the information they need Finally, consider how using views can save you time when querying your database Every time you run T-SQL code, SQL Server must first

omp_get_num_threads() (integer function) returns the actual number of threads in the current team of threads omp_get_thread_num() (integer function) returns the ID of a thread, where the ID ranges from 0 to the number of threads minus 1 The thread with ID of 0 is the master thread The lock functions create, use, and destroy locks These are described later with the other synchronization constructs

If a parser error occurs the p_error() function is called Although we have treated the plyyaccYaccProduction argument as a sequence up to now, it also has attributes, and here we have used the lineno attribute to indicate where the problem occurred

precedence = (("nonassoc", "FORALL", "EXISTS"), ("right", "IMPLIES"), ("left", "OR"), ("left", "AND"), ("right", "NOT"), ("nonassoc", "EQUALS"))

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To set the precedences and associativities of operators in a PLY parser, we must create a precedence variable and give it a list of tuples where each tuple s rst item is the required associativity and where each tuple s second and subsequent items are the tokens concerned PLY will honor the speci ed as-

We provide a simple example of how these functions are used in Fig A10 The program prints the thread ID and the number of threads to the standard output The output from the program in Fig A10 would look something like this:

sociativities and will set the precedences from lowest ( rst tuple in the list) to highest (last tuple in the list) For unary operators, associativity isn t really an issue for PLY (although it can be for PyParsing), so for NOT we could have used "nonassoc" and the parsing results would not be affected At this point we have the tokens, the lexer s functions, the parser s functions, and the precedence variable all set up Now we can create a PLY lexer and parser and parse some text

Earlier we mentioned that there is a cost of doing all this index business Here s where it comes into play When you have a heap, inserting rows into a table is a matter of appending the new row of data to the end of the most recently allocated page Updating an existing row is a matter of updating the value being changed, something that happens in place on the page where the row exists And deleting a row means removing the row from the page (there are internal processes for cleaning up the unused space, but we won t go there) Suppose you ve put a nonclustered index on a heap Now you have a separate object that constantly needs to be aware of where the rows are Every time a new row is inserted, the nodes of the B-tree in the referencing index must be updated to reflect the existence, and location, of the new row If a row is updated, the index needs to be updated only if there was a change in the value of the index key field of the given row Finally, if

lexer = plylexlex() parser = plyyaccyacc() try: return parserparse(text, lexer=lexer) except ValueError as err: print(err) return []

libraries be thread safe Which thread prints its record when, however, is not specified, and any valid interleaving of the output records can occur

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