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For example, if all key values between 100 and 200 are hashed to partition 5 of R, then all tuples with the same key value range in S will also be hashed into partition 5 of S In the probing phase of the join, tuples in a partition of R are only compared to the tuples in the corresponding partition of S There is no need to compare the tuples in partition 5 of R, for example, with tuples in partition 7 of S This is a very important observation that gives a hash-join its speed Of course, we still have to spend the time it takes to partition the two tables based on the values of the join attribute But, once we have done that, the probing phase can be carried out very quickly.

The cost of hash-join is the total cost of partitioning both relations and the cost of probing In the partitioning phase, each relation is scanned and is written back to the disk Therefore, the partitioning phase cost is 2 (M + N) In the probing phase, each relation is scanned once again Hence, the total cost of a hash-join is 3 (M + N) Using the statistics we used earlier in this section, the hash-join of R and S will take 3 (1000 + 500) or 4500 disk I/Os or 405 seconds Compared to the nested-loop join access path, this is a much smaller cost! 44 QUERY PROCESSING IN CENTRALIZED SYSTEMS.

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greater methodological pluralism. In addition to traditional research and statistical methods, qualitative, descriptive, and narrative approaches have been used in an attempt to better answer important research questions (Bergin & Garfield, 1994; Prochaska, 2000). Investigating clinical rather than simply statistical significance has also been advanced as a more useful way to make sense of research data (Kazdin, 1994). The use of effect size and meta-analysis techniques as well as more sophisticated statistical analysis aided by computer technology has increased the utility as well as the complexity of research methodologies and data analysis approaches (Kazdin, 1994). Cost containment concerns have also led many new research investigations to incorporate cost-effectiveness or cost-benefit analysis into their designs (R. Newman & Taylor, 1996; Yates, 1994). Thus, it is important not only to determine what works and what doesn t work in clinical psychology but also to investigate the cost versus the benefits of assessment, treatment, consultation, and other clinical psychology activities. Recent research has focused on cost-effective, brief, and empirically supported treatment approaches (Barlow, 1996; R. M. F. Hawkins, 2001; Norcross, 2002; Rehm, 1997; Schmidt & Taylor, 2002; VandenBos, 1996). Some authors criticize the historically narrow focus of psychological research, stating that too many psychologists hug the intellectual shoreline and are content to paddle quietly in their own small ponds (Bevan, 1991, p. 481) and that psychology is a collection of studies rather than a coherent discipline (S. Schneider, 1996, p. 715). Many authors have argued that psychology research of the future must work harder to answer the big questions about [the world] (Bevan, 1991, p. 481). Significant contemporary problems of society such as homelessness, violence, racism, terrorism, and the role of psychology

AVS is a tool provided by credit card associations and issuing banks to allow merchants to check the submitted billing address to see if it is on le with the issuing bank The AVS check is usually done as part of the merchant s request for authorization on the card When a merchant makes a request, the address is checked against the address on le at the issuing bank Only the rst four to ve digits of the address and the zip code are veri ed nothing else is checked Example: Mr John Doe 1234 USA Street Realtown, ST 56789 What would be sent to the issuing bank to be checked would be 1234 and 56789 Merchants will get one of six codes back from their payment processor indicating what matched: full match, partial match address, partial match zip code, no match, international, and unavailable.

Using AVS as part of your risk solution is very bene cial, but relying solely on AVS is very dangerous If merchants implemented a rule in their solution that said they would only take orders that are a full match on AVS, they would have a very high insult rate, as the information contained in the issuing bank can be old, or the items being purchased could be gifts Merchants would leave a lot of business on the table if they implemented this type of rule Likewise, getting a full match for AVS should tell a merchant something as well: There is less risk If the order s address information is on le with the issuing bank and the merchant is shipping to the record on le, the consumer would have a hard time arguing that he or she did not make the charge.

Regardless of the AVS return value, a merchant can still get a valid authorization on a card If a merchant got a no match, that would be termed a soft decline in the eyes of the banks..