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select from R1 , , Rn where P to contain (projections of) tuples in R1 Rn for which predicate P evaluates to true If the predicate evaluates to either false or unknown for a tuple in R1 Rn (the projection of) the tuple is not added to the result SQL also allows us to test whether the result of a comparison is unknown, rather than true or false, by using the clauses is unknown and is not unknown Null values, when they exist, also complicate the processing of aggregate operators For example, assume that some tuples in the loan relation have a null value for amount Consider the following query to total all loan amounts: select sum (amount) from loan The values to be summed in the preceding query include null values, since some tuples have a null value for amount Rather than say that the overall sum is itself null, the SQL standard says that the sum operator should ignore null values in its input In general, aggregate functions treat nulls according to the following rule: All aggregate functions except count(*) ignore null values in their input collection As a result of null values being ignored, the collection of values may be empty The count of an empty collection is de ned to be 0, and all other aggregate operations return a value of null when applied on an empty collection The effect of null values on some of the more complicated SQL constructs can be subtle A boolean type data, which can take values true, false, and unknown, was introduced in SQL:1999 The aggregate functions some and every, which mean exactly what you would intuitively expect, can be applied on a collection of Boolean values

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CHAPTER 1:

SQL provides a mechanism for nesting subqueries A subquery is a select-from-

Then the voltage across the capacitor is 1 v c (t) = (cos 2 2t cos 4t) 2 This is a stable voltage A plot is shown in Fig 14-9 On the other hand, suppose the frequencies match (there is a resonance) Continuing the example suppose instead that Vc (s) = then 1 v c (t) = t sin 4t 2 This function oscillates but grows linearly it grows without bound Hence, at resonance the circuit is unstable This is shown in Fig 14-10 where you can see the voltage across the capacitor start to grow s2 4 + 16 s2 s + 16

The McGraw Hill Companies, 2001

FIGURE 1-5

is to perform tests for set membership, make set comparisons, and determine set cardinality We shall study these uses in subsequent sections

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SQL draws on the relational calculus for operations that allow testing tuples for mem-

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bership in a relation The in connective tests for set membership, where the set is a collection of values produced by a select clause The not in connective tests for the absence of set membership As an illustration, reconsider the query Find all customers who have both a loan and an account at the bank Earlier, we wrote such a query by intersecting two sets: the set of depositors at the bank, and the set of borrowers from the bank We can take the alternative approach of nding all account holders at the bank who are members of the set of borrowers from the bank Clearly, this formulation generates the same results as the previous one did, but it leads us to write our query using the in connective of SQL We begin by nding all account holders, and we write the subquery (select customer-name from depositor) We then need to nd those customers who are borrowers from the bank and who appear in the list of account holders obtained in the subquery We do so by nesting the subquery in an outer select The resulting query is select distinct customer-name from borrower where customer-name in (select customer-name from depositor) This example shows that it is possible to write the same query several ways in

the way that seems most natural We shall see that there is a substantial amount of redundancy in SQL In the preceding example, we tested membership in a one-attribute relation It is also possible to test for membership in an arbitrary relation in SQL We can thus write the query Find all customers who have both an account and a loan at the Perryridge branch in yet another way: select distinct customer-name from borrower, loan where borrowerloan-number = loanloan-number and branch-name = Perryridge and (branch-name, customer-name) in (select branch-name, customer-name from depositor, account where depositoraccount-number = accountaccount-number)

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