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Oracle was the first major commercial database available on the Linux platform. Oracle supports and certifies many products, including the Oracle Database Server software, on several major Linux distributions. Oracle s Linux version can support all the options supported by the UNIX and Windows versions. Oracle Corporation itself uses Linux-based systems to run all its outsourcing business and its application demo systems. Although Oracle is working with many Linux distributors, it has a special relationship with the Red Hat version of Linux, and it has been helping Red Hat to enhance the Linux kernel s functionality. In fact, Oracle and Red Hat s collaborative efforts in improving performance and reliability have resulted in the development of Red Hat Linux Advanced Server. Oracle provides Red Hat Linux users support for both the Oracle database and the operating system. The only requirement is that clients should be running Red Hat Linux Advanced Server on specific hardware platforms, such as Dell and HP that are certified by Oracle. Red Hat Linux Advanced Server includes many powerful perform, ance features that are commonly seen in regular UNIX software. Oracle provides support for the Oracle Real Application Clusters (RAC) based systems running on Linux, and because of the inexpensive outlays for Linux servers, they may be an alternative to traditional UNIX software for several organizations. The Linux Kernel 2.4 distribution supports RAC just as well as the established UNIX servers. Also, the new Clustered File System that Oracle has developed for Linux is easier to work with than the standard raw disks you have to use for an RAC configuration.
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Unlike commercial UNIX software, Linux is well known as open source software, meaning that new versions are released to the public at frequent intervals and may tend to have more bugs than officially tested and certified software. For someone planning to implement Linux, it is critically important to distinguish between the two types of Linux software releases: stable and beta releases. Stable versions aren t likely to crash unexpectedly, and you may encounter minor bugs. You can expect bug fixes to be released to fix the defects. Beta versions are aimed at developers, and they may be unstable and tend to crash frequently. You can expect newer releases to focus more on adding new features. Here s how you can tell which Linux versions are stable and which aren t. The generic version number for a Linux distribution is r.x.y, where r is the release number: If x is an even number, it s a stable version (e.g., Release 2.2.15). If x is an odd number, it s a beta version (e.g., Release 2.3.99).
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As far as managing the database goes, there isn t much difference between running Oracle databases on a UNIX server and running them on a Linux-based server. Some commands such as ps may show slightly different things under the two systems, so make sure you check the Linux documentation for such differences. The main difference between the two systems is in the installation of the operating system itself. Once you learn your craft on one type of operating system, you can ply it on any other type with ease. All your UNIX scripts will work in the Linux operating system. The key to a successful installation of the Oracle database on Linux is careful installation and tuning of the Linux server itself. For help with installing Red Hat Linux Advanced Server, please read the excellent white paper titled Tips for Installing and Configuring Oracle Database 10g on Red Hat Linux on the Oracle Technology Network (OTN) web site (
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Improving Database Performance: SQL Query Optimization
erformance tuning is the one area in which the Oracle DBA probably spends most of his or her time. If you re a DBA helping developers to tune their SQL, you can improve performance by suggesting more efficient queries or table- and index-organization schemes. If you re a production DBA, you ll be dealing with user perceptions of a slow database, batch jobs taking longer and longer to complete, and so on. Performance tuning focuses primarily on writing efficient SQL, allocating appropriate computing resources, and analyzing wait events and contention in the system. This chapter focuses on SQL query optimization in Oracle. You ll learn about the Oracle Optimizer and how to collect statistics for it. You ll find an introduction to the new Automatic Optimizer Statistics Collection feature. You can also manually collect statistics using the DBMS_STATS package, and this chapter shows you how to do that. You ll learn the important principles that underlie efficient code. I present a detailed discussion of the various tools, such as the EXPLAIN PLAN and SQL Trace utilities, with which you analyze SQL and find ways to improve performance. Oracle provides several options to aid performance, such as partitioning large tables, using materialized views, storing plan outlines, and many others. This chapter examines how DBAs can use these techniques to aid developers efforts to increase the efficiency of their application code. This chapter introduces the new SQL Tuning Advisor to help you tune SQL statements. You can then use the recommendations of this advisor to rewrite poorly performing SQL code. I begin the chapter with a discussion of how to approach performance tuning. More than the specific performance improvement techniques you use, your approach to performance tuning determines your success in tuning a recalcitrant application system.
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