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These ideas, regardless of how evident they seem to be nowadays, were quite revolutionary in the early 1970s. Most DBMS implementations in those days did not separate the logical and physical tasks at all; did not have a solid theoretical foundation of any kind; and offered their users many surprises, ad hoc solutions, and exceptions. Ted Codd s article started a revolution and radically changed the way people think about databases. What makes a DBMS a relational DBMS In other words: how can we determine how relational a DBMS is To answer this question, we must visit the theoretical foundation of the relational model. The following two sections discuss two important aspects of the relational model: relational data structures and relational operators. After these two sections, we will address another question: how relational is my DBMS

This section introduces the most important relational data structures and concepts: Tables, columns, and rows The information principle Datatypes Keys Missing information and null values

(no symbol) (no symbol)

Note PAR unarchives your modules and its dependencies into your temporary directory, and so does not

The central concept in relational data structures is the table or relation (from which the relational model derives its name). A table is defined as a set of rows, or tuples. The rows of a table share the same set of attributes; a row consists of a set of (attribute name; attribute value) pairs. All data in a relational database is represented as column values within table rows. In summary, the basic relational data structures are as follows: A database, which is a set of tables A table, which is a set of rows A row, which is a set of column values

Less than Less than or equal Equal Greater than Greater than or equal Not equal Contains Doesn t contain Within limits Outside limits

by default store persistent state on the filesystem. If you need persistent state stored, you will need to store these files outside the PAR archive or its generated binary.

The definition of a row is a little sloppy. A row is not just a set of column values. A more precise definition would be as follows: A row is a set of ordered pairs, where each ordered pair consists of an attribute name with an associated attribute value. For example, the following is a formal and precise way to represent a row from the DEPARTMENTS table: {(deptno;40),(dname;HR),(location;Boston),(mgr;7839)} This row represents department 40: the HR department in Boston, managed by employee 7839. It would become irritating to represent rows like this; therefore, this book will use less formal notations as much as possible. After all, the concept of tables, rows, and columns is rather intuitive. In most cases, there is a rather straightforward one-to-one mapping between the entities of the data model and the tables in a relational database. The rows represent the occurrences of the corresponding entity, and the column headings of the table correspond with the attributes of that entity. See Figure 1-1 for an illustration of the DEPARTMENTS table.

Figure 7-6 shows the syntax details for out-of-line constraints. This syntax is slightly different from the inline constraint syntax. In the syntax diagram, col name list refers to a comma-separated list of one or more column names. The type of constraint can be UNIQUE, PRIMARY KEY, FOREIGN KEY, and CHECK. By default, constraints become active immediately, unless you specify the DISABLE option; in other words, the default option is ENABLE. The four types of constraints work as follows: UNIQUE allows you to prevent duplicate values in a column or a column combination. PRIMARY KEY and FOREIGN KEY allow you to implement entity integrity and referential integrity. See 1 for a detailed discussion of these concepts. CHECK allows you to specify any arbitrary condition as a constraint.

Date, numeric Date, numeric Date, numeric, text Date, numeric Date, numeric Date, numeric, text Text Text Date, numeric Date, numeric

The binary is the archive with an embedded Perl interpreter for compatible systems without Perl or the wrong version installed. Generate a myapp.bin executable like this: pp myapp.par -o myapp.bin This is then run very similarly to the .par file: ./myapp.bin script/myapp_server.pl PAR can be useful, but it is a bit fragile. It may not be easy to get it working on your system, but when it works, it s great.

Figure 7-7 shows the syntax details of a foreign key constraint reference (FK-REF in Figure 7-6).

Although many of these operators are self explanatory, some require clarification. CO: The contains operator locates records that contain a search term. The following search locates documents in which the word SMITH appears anywhere in the DOCTEXT1 field: DOCTEXT1 CO SMITH NC: The not contains operator locates records that don t contain a search term. The following search locates documents in which the word SMITH doesn t appear anywhere in the DOCTEXT1 field: DOCTEXT1 NC SMITH