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tion using database objects such as constraints and keys However, RI is documented in the logical model to ensure that business rules (as well as general data consistency) are followed within the database Suppose you are designing a database that stores information about the inventory of a library In the logical model, you might have an Author entity, a Publisher entity, and a Title entity, among many others Any given author may have more than one title in the inventory; in contrast, a title probably has been published by only one publisher, although one publisher may have published many titles If users need to remove an author, simply deleting that author would leave at least one title orphaned Similarly, deleting a publisher would leave at least one title orphaned Thus, you need to create definitions of the actions that are enforced when these updates occur Referential integrity provides these definitions With RI in place, you can specify that when an author is deleted, all related titles are also deleted You could also specify that the addition of a title fails when there is no corresponding author These might not be the most realistic examples, but they clearly illustrate the need to handle the interrelation between data in multiple entities You document referential integrity in the logical model via PK and FK relationships Because each entity should have a key attribute that uniquely identifies each record the entity contains, you can relate key attributes in parent and child entities based on those keys For example, take a look at Figure 21

alphanums) matches text that starts with an alphabetic character and that is followed by zero or more alphanumeric characters (Both alphas and alphanums

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are prede ned strings of characters provided by the PyParsing module) A less frequently used alternative to Word() is CharsNotIn() This element is given a string that it treats as a set of characters, and will match all the characters from the current parse position onward until it reaches a character from the given set of characters It does not skip whitespace and it will fail if the current parse character is in the given set, that is, if there are no characters to accumulate Two other alternatives to Word() are also used One is SkipTo(); this is similar to CharsNotIn() except that it skips whitespace and it always succeeds even if it accumulates nothing (an empty string) The other is Regex() which is used to specify a regex to match PyParsing also has various prede ned parser elements, including restOfLine that matches any characters from the point the parser has reached until the end of the line, pythonStyleComment which matches a Python-style comment, quotedString that matches a string that s enclosed in single or double quotes (with the start and end quotes matching), and many others There are also many helper functions provided to cater for common cases For example, the delimitedList() function returns a parser element that matches a list of items with a given delimiter, and makeHTMLTags() returns a pair of parser elements to match a given HTML tag s start and end, and for the start also matches any attributes the tag may have Parsing elements can be quanti ed in a similar way to regexes, using Optional(), ZeroOrMore(), OneOrMore(), and some others If no quanti er is speci ed, the quantity defaults to 1 Elements can be grouped using Group() and combined using Combine() we ll see what these do further on Once we have speci ed all of our individual parser elements and their quantities, we can start to combine them to make a parser We can specify parser elements that must follow each other in sequence by creating a new parser element that concatenates two or more existing parser elements together for example, if we have parser elements key and value we can create a key_value parser element by writing key_value = key + Suppress("=") + value We can specify parser elements that can match any one of two or more alternatives by creating a new parser element that ORs two or more existing parser elements together for example, if we have parser elements true and false we can create a boolean parser element by writing boolean = true | false Notice that for the key_value parser element we did not need to say anything about whitespace around the = By default, PyParsing will accept any amount of whitespace (including none) between parser elements, so for example, PyParsing treats the BNF de nition KEY '=' VALUE as if it were written \s* KEY \s* '=' \s* VALUE \s* (This default behavior can be switched off, of course).

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