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The result of an SQL query is, of course, a relation Let us consider a simple query using our banking example, Find the names of all branches in the loan relation : select branch-name from loan The result is a relation consisting of a single attribute with the heading branch-name Formal query languages are based on the mathematical notion of a relation being a set Thus, duplicate tuples never appear in relations In practice, duplicate elimination is time-consuming Therefore, SQL (like most other commercial query languages) allows duplicates in relations as well as in the results of SQL expressions Thus, the preceding query will list each branch-name once for every tuple in which it appears in the loan relation In those cases where we want to force the elimination of duplicates, we insert the keyword distinct after select We can rewrite the preceding query as select distinct branch-name from loan if we want duplicates removed SQL allows us to use the keyword all to specify explicitly that duplicates are not removed: select all branch-name from loan Since duplicate retention is the default, we will not use all in our examples To ensure the elimination of duplicates in the results of our example queries, we will use distinct whenever it is necessary In most queries where distinct is not used, the exact number of duplicate copies of each tuple present in the query result is not important However, the number is important in certain applications; we return to this issue in Section 428 The asterisk symbol * can be used to denote all attributes Thus, the use of loan* in the preceding select clause would indicate that all attributes of loan are to be selected A select clause of the form select * indicates that all attributes of all relations appearing in the from clause are selected The select clause may also contain arithmetic expressions involving the operators +, , , and / operating on constants or attributes of tuples For example, the query select loan-number, branch-name, amount * 100 from loan.



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Removing the EventLog value from the registry and restarting the server reenables the logging of all print events





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Figure 107 Block Encoded framing at 100 Mbps ATM cells can be transported over any digital network technology To reduce cost for enterprise networks over PDH and SONET/SDH, standards have been developed to carry ATM cells over multimode fiber and twisted-pair cabling These are closely based on existing LAN interfaces such as Token-Ring and FDDI The 100 Mbps Block Encoded interface (also known as TAXI) was one of the first of these private interfaces It uses the multimode fiber and physical line coding of FDDI Instead of being transported contiguously, idle and unassigned fill cells are removed and the remaining cells are transported asynchronously with an additional beginning of cell line code When cells are not being transported, idle line codes are transmitted through the net work The 256 Mbps Block Encoded interface uses a similar technique, but over unshielded twistedpair (UTP) cabling

The McGraw Hill Companies, 2001

User Data Payload (SSCS)

will return a relation that is the same as the loan relation, except that the attribute amount is multiplied by 100 SQL also provides special data types, such as various forms of the date type, and allows several arithmetic functions to operate on these types

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When opening remote procedure call (RPC)-aware applications, such as Windows Explorer and Control Panel, delays of several minutes can be the result of incorrect service startup settings Verify the RPC service Startup type is set to Automatic and the RPC Locator service Startup type is set to Manual

Let us illustrate the use of the where clause in SQL Consider the query Find all loan numbers for loans made at the Perryridge branch with loan amounts greater that $1200 This query can be written in SQL as: select loan-number from loan where branch-name = Perryridge and amount > 1200

User Data Payload 0 - 4096 bytes (65536 optional)

SQL uses the logical connectives and, or, and not rather than the mathematical symbols , , and in the where clause The operands of the logical connectives can be expressions involving the comparison operators <, <=, >, >=, =, and <> SQL allows us to use the comparison operators to compare strings and arithmetic expressions, as well as special types, such as date types SQL includes a between comparison operator to simplify where clauses that specify that a value be less than or equal to some value and greater than or equal to some other value If we wish to nd the loan number of those loans with loan amounts between $90,000 and $100,000, we can use the between comparison to write

Configure the server service to represent the server role more appropriately The performance boost realized from this server optimization setting depends on the function of the server

FUNI Frame User Network Interface CPCS Common Part Convergence Sublayer SSCS Service Specific Convergence Sublayer FH, FT Frame Header, Trailer

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