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The example shows several aspects of collection-handling in Informix SPL First, the collection is retrieved from the database into an SPL variable as a collection data type It would also be possible to retrieve it into a variable explicitly declared as having a SET type (or in other situations, a LIST or MULTSET type) The collection stored in the variable is then explicitly treated as a table for manipulating items within the collection To add a new project, an INSERT is performed into the collection table To find and modify a specific project, a cursor is used to search through the collection table, and a cursor-based UPDATE statement is used to change the value of one member of the collection Note that the FOREACH loop retrieves each item of the collection into a variable so that the SPL routine can process it.

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Finally, the collection variable s contents are used to update the collection column within the table Oracle takes a similar approach to processing varying arrays The individual elements of an array within an abstract data type are available through subscripted references within a structured data type The typical Oracle PL/SQL process for accessing variable array elements is: 1 Retrieve the row from the table containing the varying array into a local variable whose data type is defined to match the row structure of the table, or of the particular columns being retrieved 2 Execute a FOR loop with an index variable, n, that counts from 1 to the number of elements in the varying array The number of elements is available through the value of a special attribute of the array column named COUNT 3.

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Within the FOR loop, a subscript is used on the varying array name to access the n-th element of the varying array A similar technique can be used to process nested tables; however, it s usually not necessary Instead, the THE operator is generally used to flatten the table in a SQL query, and the results are processed with a single cursor-driven FOR loop The processing may still be complex In particular, the stored procedure may need to detect whether a particular row coming from the query results is from the same main table row as the previous row and, upon detecting a change in main table rows, perform special processing such as computing subtotals In this aspect, the processing of both varying arrays and nested tables begins to resemble the nested-loop processing typical of the COBOL report-writing programs of 30 years ago that handled master and detail records.

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Comparison operators are used in the WHERE clause to compare two values, yielding a logical true or false as a result. The two values being compared may be constants supplied in the WHERE clause, column values from the database, or a combination of the two. The comparison operators that can be used in WHERE clauses are shown in the following table:

As the discussion in this section has illustrated, collection types and the processing of individual collection items tend to call for programmatic access through stored.

procedures rather than for ad hoc SQL use. One of the criticisms of object-oriented databases is that they are a regression from the simplicity of the relational model and reintroduce that need for explicit database navigation that was part of the prerelational databases. Examples like these provide evidence that there is at least a certain amount of truth in the criticism.

Object-relational data management systems generally provide a mechanism through which a user can extend the built-in data types provided by the DBMS with additional, user-defined data types For example, a mapping application might need to operate on a LOCATION data type that consists of a pair of latitude and longitude measurements, each consisting of hours, minutes, and seconds To effectively process location data, the application may need to define special functions, such as a DISTANCE(X,Y) function that computes the distance between two locations The meanings of some built-in operations, such as a test for equality (=), will need to be redefined for location type data One way that Informix Universal Server supports user-defined data types is through its OPAQUE data type An OPAQUE data type is (not surprisingly) opaque to the DBMS.

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