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For the last example, we revisit the E table with the phone number array (see Listings 12-1 through 12-6). Listing 12-20 shows how you can use the COLLECT and CAST operators to convert an array into a nested table. To be able to capture the result, we first create a new numBer_tab_t type using the existing numBerlist_t type. Listing 12-20. CAST and COLLECT Example to Convert an Array into a Nested Table create type number_tab_t as table of numberlist_t; / select cast(collect(numlist) as number_tab_t) as result from e where empno in (7839, 7782); RESULT ---------------------------------------------------------------------NUMBER_TAB_T(NUMBERLIST_T('4231', '06-12345678'), NUMBERLIST_T('1234', '06-78765432', '029-8765432')) This final chapter gave you a high-level introduction to the object-relational features of the Oracle DBMS, focusing on the way you can use those features in SQL. You learned how you can create object types, and how you can use those types as user-defined datatypes. You also learned about the Oracle collection types: variable arrays and nested tables. If your tables contain nested tables, you can use SQL multiset operators on those tables. If you want to learn more about the object-relational features of Oracle, refer to the Oracle documentation. Application Developer's Guide: Object-Relational Features is an excellent starting point for further study in this area.

You can do the following exercises to practice using the object-relational techniques covered in this chapter. The answers are in Appendix B. 1. The SALGRADES table has two columns to indicate salary ranges: LOWERLIMIT and UPPERLIMIT. Define your own SALRANGE_T type, based on a varray of two NUMBER(6,2) values, and use it to create an alternative SALGRADES2 table. Fill the new SALGRADES2 table with a single INSERT statement, using the existing SALGRADES table.

A summary index of file types, perhaps displaying file extensions represented in source material, is clearly desirable. There are a variety of methods to obtain one, as discussed in the following sections. Software Designed to Create Lists of Files There are shareware and freeware utilities, usually available for download from the Web, that scan the contents of a directory and store the results in a text file. Two examples are SuperDox (http://www.litigationtech.com/superdox/) and FileLister (http://www.tawbaware.com/ filelist.htm). You can see an example of FileLister in Figure 3-1. These two particular programs both provide additional options that allow a user to exclude certain file types, or to specify how deeply into a directory the scan should go.

API access within your application is easily accomplished using the exact same method described previously. The only change you need to make is to add the auth key as a parameter to your API calls. Then, instead of retrieving the auth key from the cookie, retrieve it from the query parameter. If you are using auth keys only for API access, you can also move the authentication check from your Root controller s auto method to the API controller s auto method (or the root of the API chain, if you are using chained dispatch).

Create a table TESTNEST with two columns: column X and column MX. Column X is NUMBER(1,0) with values 2, 3, 4, ..., 9. Column MX is a nested table, based on a MX_TAB_T type, containing all multiples of X less than or equal to 20. Use multiset operators to solve the following problems, using the TESTNEST table you created and populated in the previous exercise: a. b. c. Which rows have a nested table containing value 12 Which nested tables are not a subset of any other subset Which nested tables have more than 42 different nonempty subsets

Figure 3-1. The shareware program FileLister, a program that can be used to create a digital index of files

This appendix offers an overview of the seven case tables used throughout this book, in various formats. Its main purpose is to help you in writing SQL commands and checking your results. The first section shows an Entity Relationship Modeling (ERM) diagram, indicating the entities of the underlying data model, including their unique identifiers and their relationships. Then you can find descriptions of the seven case tables, with names and datatypes of all their columns and short explanations, when necessary. The next section shows a table diagram, focusing on all primary key and foreign key constraints. This diagram may be especially helpful when you are writing joins. The biggest component of this appendix (with the highest level of detail) is a complete listing of the seven case tables with all their rows. This overview may be useful to check your query results for correctness. At the end of this appendix, you will find two alternative representations of the case table data, showing the table rows in a compact format. The first diagram shows an overview of the 14 employees. It clearly shows the department populations and the hierarchical (manager/subordinate) relationships. The second illustration shows a matrix overview of all course offerings, with starting dates, locations, attendees (A), and trainers (T). Again, these representations may be useful to check your query results for correctness.