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Table functions are a great help when you re doing large and complex transformations, because you can perform the transformations before loading data into a data warehouse Table functions are discussed in the Using Table Functions for Data Transformation section in this chapter Transportable tablespaces: These tablespaces provide you with an efficient and speedy way to move data from one database to another For example, you can migrate data between an OLTP database and a data warehouse using transportable tablespaces I discuss transportable tablespaces in 14..

The first part of the tradeoff, the speedy execution of queries, is quite apparent: if you look up a sorted index rather than performing a full table scan, your queries will be faster But every time you update, insert, or delete a row in a table with indexes, the indexes have to be updated, inserted, or deleted as well This makes these processes more time consuming on a table with indexes In addition, don t forget that large tables will have large indexes, and you need a large disk to accommodate these indexes in addition to the table data In general, if your tables are mostly used for reading (selecting) data, as in a data warehouse, you are better off with more indexes If your database is more of an OLTP type, with heavy inserts, updates, and deletes, you are better off with fewer indexes.

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Note You can also use Oracle Warehouse Builder (OWB) to efficiently load data. OWB offers you a wizard-driven facility to load data into the database through SQL*Loader. OWB can load data from an Oracle database or from flat files. In addition, OWB can extract data from other databases such as Sybase, Informix, and Microsoft SQL Server via Oracle Transparent Gateways. OWB combines ETL and design functions in an easy-to-use format.

Unless you need to access most of the rows of a table, indexed queries often provide results much more quickly than queries that do not use indexes There is no limit to the number of indexes you can have on a single Oracle table but, as mentioned previously, there are performance implications An index is completely transparent to the user that is, the user s SQL statement does not have to be changed when you create indexes However, it is incumbent upon application developers to be well versed in the subject of indexes and how they work, so that they can build efficient queries..

In the next section, you ll learn how to use the SQL*Loader utility to load data from external files. This will also help you understand how to use external tables to perform data loading. After examining the external tables feature, you ll review the various methods of data transformation offered by Oracle Database 11g.

Oracle indexes can be of several types, the most important of which are listed here: Unique and nonunique indexes: Unique indexes are those based on a unique column, usually something like the social security number of an employee. Although you can explicitly create unique indexes, Oracle recommends that you not do so. Oracle advises you to use unique constraints instead. When you place a unique constraint on a table s column, Oracle will automatically create unique indexes on those columns. Primary and secondary indexes: Primary indexes are the unique indexes in a table that must always possess a value; they can t be null. Secondary indexes are other indexes in the same table that may not be unique. Composite indexes: Composite indexes are indexes that contain two or more columns from the same table. They re also known as concatenated indexes. Composite indexes are especially useful for enforcing uniqueness in a table s columns in cases where there s no single column that can uniquely identify a row.

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