By Gavin JT Powell
There are 3 elements to tuning an Oracle database: information modeling, SQL code tuning and actual database configuration. an information version includes tables and relationships among tables. Tuning a knowledge version consists of normalization and de-normalization. diversified techniques are required looking on the appliance, corresponding to OLTP or a knowledge Warehouse. beside the point database layout could make SQL code most unlikely to track. terrible information modeling may have a such a lot profound impression on database functionality due to the fact all SQL code is made out of the knowledge version. Poorly written SQL code is usually a perpetrator of functionality difficulties and is pricey to rectify. despite the fact that, tuning of SQL code is usually more cost-effective than altering the information version. SQL code has a tendency to be contained within autonomous blocks inside of functions or saved strategies. actual database tuning contains source utilization, networking and diverse different Oracle issues equivalent to configuration and dossier distribution. actual configuration is usually a perpetrator of negative functionality the place Oracle is put in with defaults, and not altered through a professional. *Includes all 3 facets of Oracle database tuning: facts version tuning, SQL & PL/SQL code tuning, actual plus configuration tuning *Contains skilled information and real-world examples utilizing huge datasets *Emphasizes improvement in place of working approach point of view
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Extra info for Oracle High Performance Tuning for 9i and 10g
The same would apply by including the COMPANY_ID column in the Department table. 4: A Hierarchy of Relational Entities Using Unique Integer Identifier Keys Unique integer identifiers are most efficiently created in Oracle Database using sequence number generators. Never create unique identifiers for new rows in tables using something like SELECT MAX(identifier) FROM table. This approach will execute a full table scan whenever a new row is added, which is extremely inefficient. Maximum integer identifier values stored in a separate central table of sequence numbers would create hot blocks and concurrency issues but might be more efficient than using a MAX function for every new row required, especially for large tables.
Text = 'Software'; The WHERE clause adds filtering, making the mutable join a complex mutable join. The ANSI format of this query is no more difficult to tune than the Oracle Proprietary format. This example shows the number of tables joined very clearly. Mutable Joins to Find Few Columns When constructing SQL statement joins are you finding many tables in joins where those tables are scattered throughout the entity relationship diagram? When finding those columns are you passing through one or more entities from which no columns are retrieved?
Database administrators are often not included in the development process. Some companies may not even hire a database administrator until the development process is complete or nearing completion. In cases where child tables are static and very small, perhaps Referential Integrity checks between the parent and child tables are less necessary. In this case one must assume applications always validate the existence of foreign key child rows when adding or changing primary keys. Again, the child table has to be small!