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FROM clause WHERE clause (optional) GROUP BY clause (optional) HAVING clause (optional) SELECT clause ORDER BY clause (optional)

smart object, similar to the random access typically provided for operating system files. Informix also provides advanced controls over logging, transaction management, and data integrity for smart large objects.

Having a basic understanding of the order of evaluation is important as you create more complex SELECT statements, especially when working with joins and subqueries (discussed in 11 and 12, respectively). This understanding is also helpful when discussing each clause individually because it explains how one clause relates to other clauses. As a result, it is a good idea for you to keep this order of evaluation in mind throughout this chapter and in subsequent chapters that build upon various aspects of the SELECT statement.

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Because LOBs can be very large compared with the data items typically handled by RDBMS systems, they pose special problems in several areas: Data storage and optimization Storing a LOB item inline with the other contents of a table s row would destroy the optimization that the DBMS performs to fit database data neatly into pages that match the size of disk pages For this reason, LOB data is nearly always stored out-of-line in separate storage areas Most DBMS brands that support LOBs provide special LOB storage options, including named storage spaces that are specified when the LOB type column is created Storing LOB data in the database Because a LOB can be tens or hundreds of megabytes in size, most programs can t hold the entire contents of a LOB in a memory buffer at once.

They process portions of the LOB at a time (for example, pages of a long document or individual frames of a video clip) But embedded SQL and normal SQL APIs are designed for row-at-a-time processing (through INSERT and UPDATE statements) that stores the values for all columns in the row at once Special techniques are required to put data into a database LOB column piece by piece, through multiple API calls per LOB column Retrieving LOB data from the database This is the same issue as storing the data, but in reverse Embedded SQL and normal SQL APIs are designed for SELECT statement or FETCH statement processing that retrieves data values for all columns of a row at once But because a stored LOB value can be tens or hundreds of megabytes in size, most programs can t possibly process it all at once in a memory buffer.

Now that you have a basic overview of how the SELECT statement is executed, let s take a closer look at the SELECT clause and the FROM clause, the two required clauses in the statement. I ll discuss the other clauses in separate sections throughout the remainder of the chapter. Let s begin with the SELECT clause. The SELECT clause includes the optional DISTINCT and ALL keywords. The DISTINCT keyword is used if you want to eliminate duplicate rows from the query results, and the ALL keyword is used if you want to return all rows in the query results. For example, suppose your database includes a table named PERFORMER_CDS. The table includes the PERFORMER_NAME column and the CD_NAME column. Because a CD can include more than one performer, the CD name can appear more than one time in the table. Now suppose that you want to query the table for the name of the CDs only, but you don t

Special techniques are required to retrieve the database LOB column data, piece by piece, so that it can be processed by the application Transaction logging Most DBMSs support transactions by maintaining before and after images of modified data in a transaction log Because of the potentially large size of LOB data, the logging overhead could be extreme For this reason, many DBMSs don t support logging for LOB data, or they allow logging but provide the ability to turn it on and off Several DBMSs address these issues through extended APIs that specifically support LOB manipulation These calls provide random access to individual segments of the LOB contents, allowing the program to retrieve or store the LOB in manageable chunks Oracle8 introduced this capability for manipulating its LOB data types within stored procedures written in the Oracle PL/SQL language.

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