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Now, on to the newly discovered option NOCOMPRESS. This option is available to indexes in general. It tells Oracle to store each and every value in an index entry (i.e., do not compress). If the primary key of the object were on columns A, B, and C, every occurrence of A, B, and C would physically be stored. The converse to NOCOMPRESS is COMPRESS N, where N is an integer that represents the number of columns to compress. This removes repeating values and factors them out at the block level, so that the values of A and perhaps B that repeat over and over are no longer physically stored. Consider, for example, a table created like this: ops$tkyte@ORA10GR1> create table iot 2 ( owner, object_type, object_name, 3 primary key(owner,object_type,object_name) 4 ) 5 organization index 6 NOCOMPRESS 7 as 8 select owner, object_type, object_name from all_objects 9 / Table created. It you think about it, the value of OWNER is repeated many hundreds of times. Each schema (OWNER) tends to own lots of objects. Even the value pair of OWNER,OBJECT_TYPE repeats many times a given schema will have dozens of tables, dozens of packages, and so on. Only all three columns together do not repeat. We can have Oracle suppress these repeating values. Instead of having an index block with the values shown in Table 10-1, we could use COMPRESS 2 (factor out the leading two columns) and have a block with the values shown in Table 10-2. Table 10-1. Index Leaf Block, NOCOMPRESS

In order to do this, you must separate the attributes that depend on both parts of the key from those that depend only on the Skill ID This results in two tables: the Skills table, which lists the name for each Skill ID, and the Employee Skills table, which lists the skills actually learned by each employee (see Tables 2-5 and 2-6) In the Employee Skills table, the Skill Level attribute is clearly dependent on both parts of the key, since the attribute is based not only on which particular skill is being referred to, but also on the particular employee s level in that skill..

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In this chapter, we will discuss the various types of database tables and cover when you might want to use each type (i.e., when one type of table is more appropriate than another). We will concentrate on the physical storage characteristics of the tables: how the data is organized and stored. Once upon a time, there was only one type of table, really: a normal table. It was managed in the same way a heap of stuff is managed (the definition of which appears in the next section). Over time, Oracle added more sophisticated types of tables. Now, in addition to the heap organized table, there are clustered tables (three types of those), index organized tables, nested tables, temporary tables, external tables, and object tables. Each type of table has different characteristics that make it suitable for use in different application areas.

You must substitute VERSIONS BETWEEN TIMESTAMP . . . for the VERSIONS BETWEEN SCN nn AND nn clause to use time stamps to specify the time interval for retrieving the various versions of a row instead of using SCNs.

Sys,table,t1 Sys,table,t5 ... Sys,table,t100 Sys,table,t2 Sys,table,t6 ... Sys,table,t101 Sys,table,t3 Sys,table,t7 ... Sys,table,t102 Sys,table,t4 Sys,table,t8 ... Sys,table,t103

We will define each type of table before getting into the details. There are nine major types of tables in Oracle, as follows: Heap organized tables: These are normal, standard database tables. Data is managed in a heap-like fashion. As data is added, the first free space found in the segment that can fit the data will be used. As data is removed from the table, it allows space to become available for reuse by subsequent INSERTs and UPDATEs. This is the origin of the name heap as it refers to this type of table. A heap is a bunch of space, and it is used in a somewhat random fashion. Index organized tables: These tables are stored in an index structure. This imposes physical order on the rows themselves. Whereas in a heap the data is stuffed wherever it might fit, in index-organized tables (IOTs) the data is stored in sorted order, according to the primary key. Index clustered tables: Clusters are groups of one or more tables, physically stored on the same database blocks, with all rows that share a common cluster key value being stored physically near each other. Two goals are achieved in this structure. First, many tables may be stored physically joined together. Normally, you would expect data from only one table to be found on a database block, but with clustered tables, data from many tables may be stored on the same block. Second, all data that contains the same cluster key value, such as DEPTNO = 10, will be physically stored together. The data is clustered around the cluster key value. A cluster key is built using a B*Tree index.

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