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This chapter covers views, a very important component of the relational model (see Ted Codd s rule 6, in 1). The first section explains the concept of views. The second section discusses how to use the CREATE VIEW command to create views. In the next section, you ll learn about the various ways you can use views in SQL, in the areas of retrieval, logical data independency, and security. Then we explore the (im)possibilities of data manipulation via views. How does it work, which are the constraints, and what should we consider You ll learn about updatable views, nonupdatable views, and the WITH CHECK OPTION clause of the CREATE VIEW command. Section 10.5 discusses data manipulation via inline views. This name is slightly confusing, because inline views are not real views. Rather, they are subqueries in the FROM clause, as discussed in the previous chapter. Data manipulation via inline views allows you to perform various complicated and creative data manipulation operations, which would otherwise be very complex (or impossible) via the underlying base tables. Section 10.6 covers views and performance. Following that is a section about materialized views. Materialized views are very popular in data warehousing environments, which have relatively high data volumes with mainly read-only access. Materialized views allow you to improve query response times with some form of controlled redundancy.

For this procedure to work, the loading workstation must have Outlook installed, and the e-mail client must have access to the e-mail database file that contains the desired messages Microsoft Outlook can either be associated with a central e-mail server (such as Exchange), or be used as a standalone client When Outlook operates as a standalone client, it stores messages in a PST file All e-mail messages, associated attachments, and other items such as Calendar, Journal entries, Contacts, and Tasks are wrapped in this single file Concordance imports the full text and other metadata fields associated with e-mail messages, and it can extract attachments to a directory that you specify.

The result of a query is always a table, or more precisely, a derived table. Compared with real tables in the database, the result of a query is volatile, but nevertheless, the result is a table. The only thing that is missing for the query result is a name. Essentially, a view is nothing more than a query with a given name. A more precise definition is as follows:

Next, we need to provide an object to store each individual. Let s make a new package called Greeter::Member (create it in the file lib/Greeter/Member.pm, creating the Greeter directory on the way). package Greeter::Member; use Moose; has 'name' => ( is => 'ro', isa => 'Str', required => 1); has 'greeting_string' => ( is => 'ro', isa => 'Str', required => 1); has 'greeting' => ( is => 'ro', isa => 'Str', lazy_build => 1);

Extracted attachment files can be associated with each e-mail record in the database, so that a user can click a link in Concordance s Browse view and launch the attachment in its native application, if that application is installed on the user s workstation Other items stored in the PST file, such as Journal entries and Contacts, can be imported, though e-mail messages don t share many of the metadata fields associated with these objects As a result, the records may not contain all the data associated with these objects Concordance has an Import e-mail wizard that displays a series of interactive dialogs and that guides you through the process of importing e-mails You activate it from the Documents Import E-mail menu The first dialog of this wizard displays the contents of the PST file associated with the Outlook client in a tree view.

A view is a virtual table with the result of a stored query as its contents, which are derived each time you access the view.