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parameters and return either a single value or a set of values (possibly an empty set) The parameters are the variables from outer level query that are used in the nested subquery (these variables are called correlation variables) For instance, suppose we have the following query select customer-name from borrower where exists (select * from depositor where depositorcustomer-name = borrowercustomer-name) Conceptually, the subquery can be viewed as a function that takes a parameter (here, borrowercustomer-name) and returns the set of all depositors with the same name SQL evaluates the overall query (conceptually) by computing the Cartesian product of the relations in the outer from clause and then testing the predicates in the where clause for each tuple in the product In the preceding example, the predicate tests if the result of the subquery evaluation is empty This technique for evaluating a query with a nested subquery is called correlated evaluation Correlated evaluation is not very ef cient, since the subquery is separately evaluated for each tuple in the outer level query A large number of random disk I/O operations may result SQL optimizers therefore attempt to transform nested subqueries into joins, where possible Ef cient join algorithms help avoid expensive random I/O Where the transformation is not possible, the optimizer keeps the subqueries as separate expressions, optimizes them separately, and then evaluates them by correlated evaluation As an example of transforming a nested subquery into a join, the query in the preceding example can be rewritten as select customer-name from borrower, depositor where depositorcustomer-name = borrowercustomer-name (To properly re ect SQL semantics, the number of duplicate derivations should not change because of the rewriting; the rewritten query can be modi ed to ensure this property, as we will see shortly) In the example, the nested subquery was very simple In general, it may not be possible to directly move the nested subquery relations into the from clause of the outer query Instead, we create a temporary relation that contains the results of the nested query without the selections using correlation variables from the outer query, and join the temporary table with the outer level query For instance, a query of the form. word aflame upc Our Team - Word Aflame Church
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This UPC Barcode Font is free, fully functional shareware. ... or use Microsoft Word or Excel and standard address labels to print adhesive barcodes to apply to ... In this example, I m using the LBF link for both failover communications and replication of the state table NOTE With few exceptions, all commands must be executed on the active appliance and are then replicated across the failover link to the standby appliance I ll verify my failover configuration with the show failover command on the primary/active unit: 1 where P2 contains predicates in P2 without selections involving correlation variables, 2 and P2 reintroduces the selections involving correlation variables (with relations referenced in the predicate appropriately renamed) Here, V contains all attributes that are used in selections with correlation variables in the nested subquery In our example, the original query would have been transformed to upc-a barcode font for word Use Microsoft Word as a Barcode Generator - Online Tech Tips
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