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ops$tkyte@ORA11GR2> create view people of person_type 2 with object identifier (name) 3 as 4 select name, dob, 5 address_type(home_city,home_street,home_state,home_zip) home_adress, 6 address_type(work_city,work_street,work_state,work_zip) work_adress 7 from people_tab 8 / View created. ops$tkyte@ORA11GR2> insert into people values ( 'Tom', '15-mar-1965', 2 address_type( 'Reston', '123 Main Street', 'Va', '45678' ), 3 address_type( 'Redwood', '1 Oracle Way', 'Ca', '23456' ) ); 1 row created.

Where duplicate names exist, due to grouping, use the syntax shown in the error message. For example, to calculate a bonus for Desk sales, use the formula =Product[Desk]*.05.

However, I achieve very much the same effect, I know exactly what is stored, how it is stored, and where it is stored. For more complex objects, we may have to code INSTEAD OF triggers on the object views to allow for modifications through the view.

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Prepared queries use a special group of functions to access field and column information from a row You get column values using sqlite3_column_xxx(), where xxx represents the data type of the value to be returned (for example, int, double, blob) You can retrieve data in whatever format you like You can also obtain the declared types of columns (as they are defined in the create table statement) and other miscellaneous metadata such as storage format and both associated table and database names sqlite3_exec(), by comparison, provides only a fraction of this information through its callback function The same is true with sqlite3_get_table(), which only includes the result set s column headers with the data In practice, you will find that each query method has its uses sqlite3_exec() is especially good for running commands that modify the database (create, drop, insert, update, and delete) One function call, and it s done.

Object tables are used to implement an object relational model in Oracle. A single object table will create many physical database objects typically, and add additional columns to your schema to manage everything. There is some amount of magic associated with object tables. Object views allow you to take advantage of the syntax and semantics of objects, while at the same time retaining complete control over the physical storage of the data and allowing for relational access to the underlying data. In that fashion, you can achieve the best of both the relational and object-relational worlds.

Summary

In your pivot table, you have a Forecast amount and an Actual amount. You d like to calculate the percent difference between Actual and Forecast for each product, but you can t get the calculation to work. The example shown is from the ProductSales.xlsx workbook.

Hopefully, after reading this chapter you have come to the conclusion that not all tables are created equal Oracle provides a rich variety of table types that you can exploit In this chapter, we have covered many of the salient aspects of tables in general and explored the many different table types Oracle provides for us to use We began by looking at some terminology and storage parameters associated with tables We looked at the usefulness of FREELISTs in a multiuser environment where a table is frequently inserted/updated by many people simultaneously, and how the use of ASSM tablespaces could make it so we don t even have to think about that We investigated the meaning of PCTFREE and PCTUSED, and we developed some guidelines for setting them correctly Then we got into the different types of tables, starting with the common heap.

Prepared queries are typically better for select statements because they offer so much more information, more linear coding (no callback functions), and more control by using cursors to iterate over results As you ll recall from 5, prepared queries are performed in three basic steps: compilation, execution, and finalization You compile the query with sqlite3_prepare_v2(), execute it step-by-step using sqlite3_step(), and close it using sqlite3_finalize(), or you can reuse it using sqlite3_reset() This process and the individual steps are all explained in detail in the following sections..

The heap organized table is by far the most commonly used table in most Oracle applications, and it is the default table type We moved on to examine index organized tables, which provide us with the ability to store our table data in an index structure instead of a heap table We saw how these are applicable for various uses, such as lookup tables and inverted lists, where a heap table would just be a redundant copy of the data Later, we saw how IOTs can really be useful when mixed with other table types, specifically the nested table type We looked at cluster objects, of which Oracle has three kinds: index, hash, and sorted hash The goals of the cluster are twofold: To give us the ability to store data from many tables together on the same database block(s).

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