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In Your Application Design, Strive to Avoid Trips to the Database - Oracle

This article, the first of three parts, focuses on the design and creation of applications that use the database. It is excerpted from chapter five of the book Oracle Database 10g DBA Handbook, written by Kevin Loney and Bob Bryla (McGraw-Hill/Osborne, 2005; ISBN: 0072231459).

TABLE OF CONTENTS:
  1. Developing and Implementing Applications
  2. Do As Little As Possible
  3. In Your Application Design, Strive to Avoid Trips to the Database
  4. Go Atomic
  5. Store Data Efficiently at the Block Level
  6. Test Correctly
  7. Standard Deliverables
  8. Tuning Goals for Queries and Transaction Processing
By: McGraw-Hill/Osborne
Rating: starstarstarstarstar / 7
February 09, 2006

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Remember that you are tuning an application, not a query. When tuning database operations, you may need to combine multiple queries into a single procedure so that the database can be visited once rather than multiple times for each screen. This bundled-query approach is particularly relevant for “thin-client” applications that rely on multiple application tiers. Look for queries that are interrelated based on the values they return, and see if there are opportunities to transform them into single blocks of code. The goal is not to make a monolithic query that will never complete; the goal is to avoid doing work that does not need to be done. In this case, the constant back-and-forth communication between the database server, the application server, and the end user’s computer is targeted for tuning.

This problem is commonly seen on complex data-entry forms in which each field displayed on the screen is populated via a separate query. Each of those queries is a separate trip to the database. As with the example in the previous section, the database is forced to execute large numbers of related queries. Even if each of those queries is tuned, the burden from the number of commands—multiplied by the number of users—will consume the CPU resources available on the server. Such a design may also impact the network usage, but the network is seldom the problem—the issue is the number of times the database is accessed.

Within your packages and procedures, you should strive to eliminate unnecessary database accesses. Store commonly needed values in local variables instead of repeatedly querying the database. If you don’t need to make a trip to the database for information, don’t make it. That sounds simple, but you would be amazed at how often applications fail to consider this advice.

There is no initialization parameter that can make this change take effect. It is a design issue and requires the active involvement of developers, designers, DBAs, and application users in the application performance planning and tuning process.

For Reporting Systems, Store the Data the Way the Users Will Query It

If you know the queries that will be executed—such as via parameterized reports—you should strive to store the data so that Oracle will do as little work as possible to transform the format of the data in your tables into the format presented to the user. This may require the creation and maintenance of materialized views or reporting tables. That maintenance is, of course, extra work for the database to perform—but it is performed in batch mode and does not directly affect the end user. The end user, on the other hand, benefits from the ability to perform the query faster. The database as a whole will perform fewer logical and physical reads because the accesses to the base tables to populate and refresh the materialized views are performed infrequently when compared to the end-user queries against the views.

Avoid Repeated Connections to the Database

Opening a database connection may take more time than the commands you execute within that connection. If you need to connect to the database, keep the connection open and reuse the connection. Within the database you may be able to use stored procedures, packages, and other methods to maintain connections while you are performing your processing.

One application designer took normalization to the extreme, moving all code tables into their own database. As a result, most operations in the order-processing system repeatedly opened database links to access the code tables, thus severely hampering the performance of the application. Again, tuning the database initialization parameters is not going to lead to the greatest performance benefit; the application is slow by design.

Use the Right Indexes

In an effort to eliminate physical reads, some application developers create numerous indexes on every table. Aside from their impact on data load times, many of the indexes may never be needed to support queries. In OLTP applications, you should not use bitmap indexes; if a column has few distinct values, you should consider leaving it unindexed. The optimizer supports “skip-scan” index accesses, so it may choose an index on a set of columns even if the leading column of the index is not a limiting condition for the query.

Do It As Simply As Possible

Once you have eliminated the performance costs of unnecessary logical reads, unneeded database trips, unmanaged connections, and inappropriate indexes, take a look at the commands that remain.



 
 
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