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Oracle8 Dba Tips And Techniques

Oracle8 Dba Tips And Techniques

by Sumit Sarin (Conducted by)
Expert Technical Knowledge at the Turn of a Page Expand your Oracle expertise by using the hundreds of tips and techniques provided in this unique reference. Written by an expert Oracle DBA,this volume offers high-end administrative solutions by leveraging little-known Oracle features with proven tactics. Complete with full coverage of Oracle8i,this book covers


Expert Technical Knowledge at the Turn of a Page Expand your Oracle expertise by using the hundreds of tips and techniques provided in this unique reference. Written by an expert Oracle DBA,this volume offers high-end administrative solutions by leveraging little-known Oracle features with proven tactics. Complete with full coverage of Oracle8i,this book covers planning,installation,architecture,tuning,Web integration,backup and recovery,and much more Learn to: Create and configure Oracle databases Manage objects,storage,and capacity Export and import techniques Design high-availability databases Use a hot standby database Enable advanced failover methods Install and upgrade Oracle8i Implement backup and recovery techniques Tune your database for peak performance Leverage new Oracle8i features Manage a Web-based database environment Use Oracle-supplied packages
'In the new world of electronic commerce,from storefronts to exchanges,the database is the underlying platform. . . and this book provides technical people with the capability to make sure we've got a rock-solid foundation!' Clayton B. Davis,Vice President,Advanced Technology Solutions,Oracle Corporation

Product Details

McGraw-Hill Companies, The
Publication date:
Oracle Press Series
Product dimensions:
7.50(w) x 9.25(h) x 1.45(d)

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Read an Excerpt

Chapter 1: Creating and Configuring Databases

A house is only as good as its foundation. This principle is equally true in the world of databases. Creating a database is like laying down the foundation stone. Some of the choices made while creating and configuring a database have lasting implications on its future performance and characteristics. Databases can be created in several different ways, and they can be configured in an even greater number of ways. The DBA needs to (a) be aware of and understand available options and (b) make appropriate decisions based on the circumstances. With this perspective in mind, this chapter looks at several different ways to create and configure databases. (This chapter assumes that Oracle software is already installed. You can read about installing and upgrading Oracle in Chapter 12.) The following tips and techniques are included:
  • How to plan database creation
  • How to know what questions you must ask
  • How to determine an appropriate data block size
  • How to create parameter files
  • How to configure data dictionary storage parameters and why you must do so before you create the database
  • Tips for choosing CREATE DATABASE command options
  • How to create a database using the Oracle Installer
  • How to clone a database from an existing database
  • How to create a database using customized scripts
  • How to create a database using Oracle8i Database Configuration Assistant
  • The naming conventions for database files
  • How to design the physical layout of databases
  • How to plan file layout for recoverability
  • How to plan file layout for enhanced performance
  • How to plan file layout for optimal flexibility
  • How to configure an OFA compliant file system

Planning Database Creation

Good databases are well planned. They are designed to suit their purpose. This section outlines some important planning considerations before starting database creation.

Planning and Asking the Right Questions

Creating a robust, high-performance database requires careful thought and planning on the part of the DBA; planning and asking questions go hand-in-hand. You cannot plan well if you do not ask the right questions. Asking the right questions is often more important than being able to find precise answers to each question. Often, precise answers do not exist. Even if you are unable to answer all questions precisely, however, the act of asking the questions and thinking about them forces a more considered introspection of the factors involved in the process of planning and decision making. The following table presents some of the questions you should ask and the related decision areas.

Asking and thinking about these, and other such questions, can go along way in helping you design and build a database that is better suited to the tasks it will be required to perform. Several key decisions are required to be made as part of the process of creating the database. Some of these decisions, such as selecting an appropriate data block size for the database and configuring initial sizing parameters for the data dictionary objects, affect overall performance and operation for the life of the entire database. These and other such crucial decisions are examined in detail in the following sections in this chapter.

How to Determine an Appropriate Data Block Size

Perhaps the most important decision you face before creating a database is selecting an appropriate data block size for the database. Once this decision is made and the database is created, it is irretrievable. The data block size can neither be increased nor decreased for the life of the database. Data block size is specified by the database initialization parameter DB_BLOCK SIZE. Creating a database parameter file and specifying parameters is covered in detail in a subsequent section in this chapter.

To make an intelligent decision, you should understand exactly what a data block is and what role it plays in the operation of the database. At its most granular level, Oracle organizes and manages all database storage in data blocks. A data block is the smallest unit of storage and the smallest unit of I/O in the database. It is important to note that Oracle data blocks are different from operating system blocks, which are the smallest data units at the operating system level. When data needs to be fetched from disk, Oracle reads data in multiples of Oracle data blocks. A database's data block size thus determines the least unit of data that can be read from or written to disk. Data block size has important I/O implications for database operation and performance. The following set of guidelines is helpful in selecting an appropriate data block size.

Although Oracle handles data in terms of Oracle data blocks, the operating system (O5) executes operations such as disk I/O in terms of operating system blocks. To keep I/O as efficient as possible, the data block size you choose for the database must always be a multiple of the operating system block size. For example, if, as on some UNIX systems, the OS block size is set to 512 bytes, whatever data block size you choose must be a multiple of 512 bytes. Data block size is further limited by minimum and maximum allowable values. On all operating systems, the data block size must be a minimum of 2,048 bytes or 2K. The maximum allowable data block size depends on the type of operating system with a maximum limit of 32K in Oracle8i.

How the database is to be used and accessed is an important determinant in selecting the data block size. Decision support or online analytical processing (OLAP) applications such as those used for data warehousing typically involve large, sequential read operations which benefit from a larger data block size because more data can be read with lesser I/O overhead. On the other hand, online transaction processing (OLTP) applications, which typically involve a large number of small, random read/writes, generally perform more efficiently with a smaller data block size.

All the space in a data block is not available for storing data. A certain amount of space in each data block is consumed for storing block overhead, as described in the following table: Overhead Description Block header Contains general block information, such as the block address and Table directory Contains information about the tables that have rows in the block. Row directory Contains information about the rows stored in the block, including A portion of block overhead is variable, but the rest is fixed. Because block overhead becomes a smaller percentage of the overall space in a larger data block, achieving higher data density through more efficient space usage is possible by using a larger data block size than a smaller one.

Normally, each row should fit completely within a data block. If the size of a row is larger than the available space in a data block, however, Oracle needs to break up the row and store the pieces in two or more data blocks, which may not be contiguous. This phenomenon is called row chaining. I/O operations involving chained rows are necessarily more complex because they have to span multiple data blocks and are slower than those involving normal, unchained rows. Because of this, row chaining should be avoided as much as possible...

Meet the Author

Sumit Sarin is widely recognized as a technology guru. His expertise is in the areas of Enterprise Architecture, databases, e-commerce and Internet applications. As Technical Manager at Oracle Corporation, he has led successful projects internationally. He is currently involved in one of the world's largest business-to-business e-commerce endeavors.

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