By Chris Moyer;Bob Bowers

ISBN-10: 1556228597

ISBN-13: 9781556228599

With greater than seven million clients worldwide, FileMaker is among the hottest database programs out there. yet before, there haven't been any books for FileMaker professional 5.5 builders that debate complicated issues. complex FileMaker professional 5.5 ideas for builders covers such issues as relational concept, protection implementations, audit trails, recursive relationships, complicated use of portals, and reporting. FileMaker specialists Chris Moyer and Bob Bowers hide the root abilities, and extra, which are required for advanced FileMaker platforms.

* find out how the relational version is applied in FileMaker professional.

* Use rollbacks to revive info.

* guard your database opposed to unauthorized entry.

* construct a safe login process to manage person entry.

* observe the pliability and tool of portals.

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A relation is a more strictly defined version of a table, and the whole point here is that when you perform an operation on a table (restrict, for example, which amounts to a find in FileMaker), you get another table as the result of that operation. We know that base tables are the actual building blocks of a relational system, and we know that derived tables are literally new tables (usually temporary) that are derived from the base tables. We mentioned one way that the tables are derived, but the derivation may not be strictly about reinterpreting stored data.

A Θ-join (theta join) is one in which you use an operator such as <, >, =, and ¹. A Θ-join in which you use the = symbol is called an equijoin, and it’s really the only type of join that FileMaker supports. This is a weakness in the program, so if any of you are the gadfly type, agitate FileMaker, Inc. for support of more join operators. You’ll have a lot more enthusiasm for the task after you see what you have to do to mechanically produce the results of other types of joins. Let’s review each of the join types and explore how they can be produced in FileMaker.

If we have two or more tuples where the Invoice ID is null, then we can’t uniquely identify those rows. Permitting the null value destroys the candidate key. In fact, permitting a null in all attributes makes it possible for two tuples with all null values to exist. Since the definition of a 30 relation mandates unique tuples, permitting nulls in all attributes destroys the relation. Referring back to the end of the last section, Codd gets around this problem by positing a kind of non-member status to any tuple in the relation that has incomplete (containing nulls in any attribute) data.

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