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union compatibility a requirement on the input tables for the traditional set operators Each table must have the same number of columns and each corresponding column must have a compatible data type

The McGraw Hill Companies, 2001

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Compatibility is a new concept for the table operators as compared to the traditional set operators With the table operators, both tables must be union compatible because all columns are compared Union compatibility means that each table must have the same number of columns and each corresponding column must have a compatible data type Union compatibility can be confusing because it involves positional correspondence of the columns That is, the first columns of the two tables must have compatible data types, the second columns must have compatible data types, and so on To depict the union, intersection, and difference operators, let us apply them to the Studentl and Student2 tables (Tables 321 and 322) These tables are union compati ble because they have identical columns listed in the same order The results of union,

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message-based work ow systems are particularly useful in networks that may be disconnected for part of the time, such as dial-up networks The centralized approach is used in work ow systems where the data are stored in a central database The scheduler noti es various agents, such as humans or computer programs, that a task has to be carried out, and keeps track of task completion It is easier to keep track of the state of a work ow with a centralized approach than it is with a fully distributed approach The scheduler must guarantee that a work ow will terminate in one of the speci ed acceptable termination states Ideally, before attempting to execute a work ow, the scheduler should examine that work ow to check whether the work ow may terminate in a nonacceptable state If the scheduler cannot guarantee that a work ow will terminate in an acceptable state, it should reject such speci cations without attempting to execute the work ow As an example, let us consider a work ow consisting of two tasks represented by subtransactions S1 and S2 , with the failure-atomicity requirements indicating that either both or neither of the subtransactions should be committed If S1 and S2 do not provide prepared-to-commit states (for a two-phase commit), and further do not have compensating transactions, then it is possible to reach a state where one subtransaction is committed and the other aborted, and there is no way to bring both to the same state Therefore, such a work ow speci cation is unsafe, and should be rejected Safety checks such as the one just described may be impossible or impractical to implement in the scheduler; it then becomes the responsibility of the person designing the work ow speci cation to ensure that the work ows are safe.

The objective of work ow recovery is to enforce the failure atomicity of the work ows The recovery procedures must make sure that, if a failure occurs in any of the work ow-processing components (including the scheduler), the work ow will eventually reach an acceptable termination state (whether aborted or committed) For example, the scheduler could continue processing after failure and recovery, as though nothing happened, thus providing forward recoverability Otherwise, the scheduler could abort the whole work ow (that is, reach one of the global abort states) In either case, some subtransactions may need to be committed or even submitted for execution (for example, compensating subtransactions) We assume that the processing entities involved in the work ow have their own local recovery systems and handle their local failures To recover the executionenvironment context, the failure-recovery routines need to restore the state information of the scheduler at the time of failure, including the information about the execution states of each task Therefore, the appropriate status information must be logged on stable storage We also need to consider the contents of the message queues When one agent hands off a task to another, the handoff should be carried out exactly once: If the handoff happens twice a task may get executed twice; if the handoff does not occur, the task may get lost Persistent messaging (Section 1943) provides exactly the features to ensure positive, single handoff

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