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The E-R data model was introduced by Chen [1976] A logical design methodology for relational databases using the extended E-R model is presented by Teorey et al [1986] Mapping from extended E-R models to the relational model is discussed by Lyngbaek and Vianu [1987] and Markowitz and Shoshani [1992] Various data-manipulation languages for the E-R model have been proposed: GERM (Benneworth et al [1981]), GORDAS (Elmasri and Wiederhold [1981]), and ERROL (Markowitz and Raz [1983]) A graphical query language for the E-R database was proposed by Zhang and Mendelzon [1983] and Elmasri and Larson [1985] Smith and Smith [1977] introduced the concepts of generalization, specialization, and aggregation and Hammer and McLeod [1980] expanded them Lenzerini and Santucci [1983] used the concepts in de ning cardinality constraints in the E-R model Thalheim [2000] provides a detailed textbook coverage of research in E-R modeling Basic textbook discussions are offered by Batini et al [1992] and Elmasri and Navathe [2000] Davis et al [1983] provide a collection of papers on the E-R model

CHAPTER 7:

Many database systems provide tools for database design that support E-R diagrams These tools help a designer create E-R diagrams, and they can automatically create corresponding tables in a database See bibliographic notes of 1 for references to database system vendor s Web sites There are also some databaseindependent data modeling tools that support E-R diagrams and UML class diagrams These include Rational Rose (wwwrationalcom/products/rose), Visio Enterprise (see wwwvisiocom), and ERwin (search for ERwin at the site wwwcaicom/products)

The McGraw Hill Companies, 2001

EXAMPLE 9-2 Consider an inverting ampli er with R f = 200 and Ri = 10 If the input voltage supplied to the ampli er is 10 V what is the output voltage ,

20

Adding a transition to a title overlay involves a slightly different process than applying transitions to the main video track As you ll recall from earlier discussions about the timeline and about transitions, there can be no gaps between the scenes on the main video track This is not the case on the titles track where title overlays exist You can place title overlays anywhere you like on the titles track Once you have a title overlay on the titles track, you can add opening or closing transitions simply by dragging those transitions onto the titles track so that they are adjacent to the title overlay As shown in Figure 7-9, I ve added a standard slide right transition at the beginning of my title overlay This causes the title to slide in from the left of the screen and then stop once it is in place Next I added the BAS-Scissors transition to the end of the title overlay so that it appears as though a scissors is cutting through the title at the end (see the view window to get an idea how this looks) You can actually use any of the transition effects on title overlays, but because they will only affect the title overlay itself, the effect may be slightly different from when the same transition is used between scenes on the main video track

to the parallel case In particular, we can use the hybrid hash join algorithm to cache some of the incoming tuples in memory, and thus avoid the costs of writing them and of reading them back in

To illustrate the use of fragment-and-replicate based parallelization, consider the case where the relation s is much smaller than relation r Suppose that relation r is stored by partitioning; the attribute on which it is partitioned does not matter Suppose too that there is an index on a join attribute of relation r at each of the partitions of relation r We use asymmetric fragment and replicate, with relation s being replicated and with the existing partitioning of relation r Each processor Pj where a partition of relation s is stored reads the tuples of relation s stored in Dj , and replicates the tuples to every other processor Pi At the end of this phase, relation s is replicated at all sites that store tuples of relation r Now, each processor Pi performs an indexed nested-loop join of relation s with the ith partition of relation r We can overlap the indexed nested-loop join with the distribution of tuples of relation s, to reduce the costs of writing the tuples of relation s to disk, and of reading them back However, the replication of relation s must be synchronized with the join so that there is enough space in the in-memory buffers at each processor Pi to hold the tuples of relation s that have been received but that have not yet been used in the join