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Complex SQL Queries


In this second part to a three-part series that covers the SQL query, you'll learn what factors you must take into account for complex queries. This article is excerpted from chapter four of The Art of SQL, written by Stephane Faroult and Peter Robson (O'Reilly; ISBN: 0596008945). Copyright © 2007 O'Reilly Media, Inc. All rights reserved. Used with permission from the publisher. Available from booksellers or direct from O'Reilly Media.

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By: O'Reilly Media
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January 10, 2008
TABLE OF CONTENTS:
  1. · Complex SQL Queries
  2. · Number of Other Users
  3. · Evaluation of Filtering Conditions
  4. · Buyers of Batmobiles

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Complex SQL Queries
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 Complex queries and complex views

Be aware that the apparent number of tables involved in a query can be deceptive; some of the tables may actually be views, and sometimes pretty complex ones, too. Just as with queries, views can also have varying degrees of complexity. They can be used to mask columns, rows, or even a combination of rows and columns to all but a few privileged users. They can also be used as an alternate perspective on the data, building relations that are derived from the existing relations stored as tables. In cases such as these, a view can be considered shorthand for a query, and this is probably one of the most common usages of views. With increasingly complex queries, there is a temptation to break a query down into a succession of individual views, each representing a component of the greater query.

The simplicity of a given query may hide the complexity of participating views.

Like most extreme positions, it would be absurd to banish views altogether. Many of them are rather harmless animals. However, when a view is itself used in a rather complex query, in most cases we are only interested in a small fraction of the data returned by the view—possibly in a couple of columns, out of a score or more. The optimizer may attempt to recombine a simple view into a larger query statement. However, once a query reaches a relatively modest level of complexity, this approach may become too complex in itself to enable efficient processing.

In some cases a view may be written in a way that effectively prevents the optimizer from combining it into the larger statement. I have already mentionedrownums, those virtual columns used in Oracle to indicate the order in which rows are initially found. Whenrownums are used inside a view, a further level of complexity is introduced. Any attempt to combine a view that references arownum into a larger statement would be almost guaranteed to change the subsequentrownumorder, and therefore the optimizer doesn’t permit a query rewrite in those circumstances. In a complicated query, such a view will necessarily be executed in isolation. In quite a number of cases then, the DBMS optimizer will push a view as is into a statement,* running it as a step in the statement execution, and using only those elements that are required from the result of the view execution.

Frequently, many of the operations executed in a view (typically joins to return a description associated with codes) will be irrelevant in the context of a larger query, or a query may have special search criteria that would have been particularly selective when applied to the tables underlying the view. For instance, a subsequentunionmay prove to be totally unnecessary because the view is theunionof several tables representing subtypes, and the larger query filters on only one of the subtypes. There is also the danger of joining a view with a table that itself appears in the same view, thus forcing multiple passes over this table and probably hitting the same rows several times when one pass would have been quite sufficient.

When a view returns much more data than required in the context of a query that references that view, dramatic performance gains can often be obtained by eliminating the view (or using a simpler version of the view). Begin by replacing the view reference in the main query with the underlying SQL query used to define the view. With the components of the view in full sight, it becomes easy to remove everything that is not strictly necessary. More often than not, it’s precisely what isn’t necessary that prevents the view from being merged by the optimizer, and a simpler, cut-down view may give excellent results. When the query is correctly reduced to its most basic components, it runs much faster.

Many developers may hesitate to push the code for a very complex view into an already complex query, not least because it can make a complex situation even more complicated. The exercise of developing and factoring a complex SQL expression may indeed appear to be daunting. It is, however, an exercise quite similar to the development of mathematical expressions, as practiced in high school. It is, in my view, a very formative exercise and well worth the effort of mastering. It is a discipline that provides a very sound understanding of the inner workings of a query for developers anxious to improve their skills, and in most cases the results can be highly rewarding.

Rather than embedding a view inside a query when that view returns unnecessary elements, try to decompose the view components into the main query body.


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