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16: Introducing Enterprise JavaBeans Once your client code has decided it no longer needs the bean reference, the container is entitled to put it back into the pool. When this happens, the ejbPassivate() method is called. Alternatively, the client may want to delete the data from the underlying pool. This action is performed through the ejbRemove() method. Once back in the pool, that bean instance is once again able to go one of the three options. Just because the bean had to create a new data last time, does not mean that it will do the same next time it leaves the pool. Finally, the container decides it has too many bean instances sitting in the pool, or the server is going to shut down. The first thing your bean implementation knows about this is that the unsetEntityContext() method is called. Once that is called, it is all over for your code, and you can expect that your code will not be called any more.

New York: Springer Thompson, M E (1997) Theory of Sample Surveys London: Chapman & Hall Thompson, M E and Pantoja Galicia, N (2003) Interval censoring of smoking cessation in the National Population Health Survey Proceedings of Statistics Canada Symposium 2002: Modelling Survey Data for Social and Economic Research Ottawa: Statistics Canada Tourangeau, R, Rips, L J and Rasinski, K (2000) The Psychology of Survey Response New York: Cambridge University Press Turnbull, B W (1976) The empirical distribution function with arbitrarily grouped, censored and truncated data Journal of the Royal Statistical Society Series B, 38, 290 295 Wand, M and Jones, M (1995) Kernel Smoothing London: Chapman & Hall Wolter, K (1985) Introduction to Variance Estimation New York: Springer Verlag Wong, G and Yu, Q (1999) Generalized mle of a joint distribution function with multivariate interval censored data Journal of Multivariate Analysis, 69, 155 166 Yeung, W J.

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Basic Datatypes Basic datatypes are mapped in the same way as constant datatypes. Table 18 1 indicates how basic datatypes are mapped. All datatypes in IDL are shown with their equivalents in Java. Note that the int and Long datatypes are not interchangeable; take care when defining datatypes as one or the other.

n=1

and Hofferth, S L (1998) Family adaptations to income and job loss in the US Journal of Family and Economic Issues, 19, 255 283 Yung, W (1997) Variance estimation for public use files under confidentiality constraints In Proceedings of the American Statistical Association, Section on Survey Research Methods (pp 434 439) Washington, DC: American Statistical Association..

Some great examples of paranoia in action are Netscape s multiple network links, RAID (redundant array of independent [or inexpensive] disks) arrays, and UPSs. Banks often use systems that have duplicate hardware for everything, including the central processing unit (CPU), to handle hardware failures at any place. Many application servers can be run in fault-tolerant mode, where one server takes over if another fails. All of these actions address Steps 1 and 2 of the refactoring, looking at data and network connections. Often planning for failure means including redundancy. Sometimes it is just having a plan for what to do. Given these redundant systems, you can ride out a failure, but you also want to build in monitoring to notify you of problems. Otherwise, you may find that your backup died after your main resource because you never replaced the main resource on a failure (such as having one disk in a raid go bad, then another, before you get the first one replaced). When I was working at a small startup company, we found it cheaper to build our own PCs than to buy them from name-brand vendors. We didn t have any support, so we had to deal with the failures, but we had a plan. When a failure occurred, we went to Fry s, bought the part that broke, and installed it. We had some downtime, but it was worth the cost savings that resulted from not buying name brands. For us, Steps 4 through 6 said that we would rather fix the problem ourselves than depend on an outside source. We realized there was risk, but planned to deal with it in a responsible way.

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IGPs are optimized for smaller sets of pre xes within an autonomous system but provide rapid convergence Generally, it is wise to place fewer, more stable pre xes in your IGP Ideally, this should be constrained to the links, which actually form part of your own network (ie links and loopback2 interfaces attached your core routers, edge routers and, possibly, between edge routers and hosts/servers) IGPs do not usually scale well when comparatively unstable pre xes or large numbers of pre xes are carried Some feel that it is best not to use an IGP to carry any routes associated with individual customers at all (ie point-to-point links and customers own networks) However, others feel that the IGP is fundamentally a mechanism for distributing reachability information for BGP next hops If this is the case, then the point-to-point links could reasonably be considered as a valid IGP route.

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