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Index organized tables (IOTs) are, quite simply, tables stored in an index structure. Whereas a table stored in a heap is unorganized (i.e., data goes wherever there is available space), data in an IOT is stored and sorted by primary key. IOTs behave just like regular tables do as far as your application is concerned; you use SQL to access them as normal. They are especially useful for information retrieval, spatial, and OLAP applications.

Table 2-1. Non-Normalized Table Employee Number Employee Name Department Number Department Name Department Location Skill ID Skill Name Skill Level

Note ORA-01555 is not related to data corruption or data loss at all. It is a safe error in that regard; the only

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What is the point of an IOT You might ask the converse, actually: what is the point of a heap organized table Since all tables in a relational database are supposed to have a primary key anyway, isn t a heap organized table just a waste of space We have to make room for both the table and the index on the primary key of the table when using a heap organized table With an IOT, the space overhead of the primary key index is removed, as the index is the data and the data is the index The fact is that an index is a complex data structure that requires a lot of work to manage and maintain, and the maintenance requirements increase as the width of the row to store increases A heap, on the other hand, is trivial to manage by comparison.

First Normal Form (1NF)

The error is actually straightforward and has only two real causes, but since there s a special case of one of them that happens so frequently, I ll say that there are three: The undo segments are too small for the work you perform on your system. Your programs fetch across COMMITs (actually a variation on the preceding point). We covered this in the Transactions chapter. Block cleanout.

A table is said to be in 1NF if it doesn t contain any repeating groups; that is, no column should have multiple values for any given row. This definition, of course, implies that a non-normalized table contains one or more repeating groups. A repeating group occurs when there are multiple values for a single occurrence of an attribute in a table. To summarize, a table (relation) is in 1NF if 1. There are no duplicated rows in the table. 2. Each cell is single-valued (that is, there are no repeating groups or arrays). 3. Entries in a column (attribute, field) are of the same kind.

There are efficiencies in a heap organized table over an IOT That said, IOTs have some definite advantages over their heap counterparts For example, I remember once building an inverted list index on some textual data (this predated the introduction of interMedia and related technologies) I had a table full of documents, and I would parse the documents and find words within them I had a table that then looked like this: create table keywords ( word varchar2(50), position int, doc_id int, primary key(word,position,doc_id) ); Here I had a table that consisted solely of columns of the primary key I had over 100 percent overhead; the size of my table and primary key index were comparable (actually, the primary key index was larger since it physically stored the rowid of the row it pointed to, whereas a rowid is not stored in the table it is inferred).

The order of the rows and columns doesn t matter. The requirement that there be no duplicated rows in the table means that the table has a key (on one column or a combination of columns).

The first two points are directly related to Oracle s read-consistency model. As you recall from 7 Concurrency and Multi-versioning, the results of your query are pre-ordained, meaning they are well-defined before Oracle goes to retrieve even the first row. Oracle provides this consistent point in time snapshot of the database by using the undo segments to roll back blocks that have changed since your query began. Every statement you execute, such as the following: update insert delete select t set x = 5 where x = 2; into t select * from t where x = 2; from t where x = 2; * from t where x = 2;

Thus, to put your tables in 1NF, you must first eliminate repeating groups, which can generally be identified by multiple values being stored at the intersection of a row and column. For example, if an employee has several skills, you might have to specify multiple values in the Skill ID column for

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