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Let s say we want to make a simple web service. The translate action provides us with a web page with the translation. We will also provide a translate_service action that does the translation but provides a JSON data structure for processing by external software.

It makes more sense to execute queries such as the one shown in Listing 4-7 against a dummy table, with only one row and one column. You could create such a table yourself, but the Oracle DBMS supplies a standard dummy table for this purpose, named DUAL, which is stored in the data dictionary. Because the Oracle DBMS knows that the DUAL table contains only one single row, you usually get better performance results by using the DUAL table rather than a dummy table that you created yourself.

There are times when it may be useful for you to create several databases to represent a single matter. The reasons for this might be for performance or purely administrative. The theoretical limit of a single Concordance database is 32 million document records, although you ll find that, in practice, users will experience database performance issues before a database becomes that large. For example, if the database contains several PARAGRAPH fields, indexing will take longer. When index time becomes prohibitive, regardless of the number of records in the database, you should consider splitting the database into parts. You can index each database individually, perhaps at separate workstations, and the procedure will complete more quickly. Though searching across a series of concatenated databases can take a little longer, the concatenation itself will otherwise be invisible to the user. There might also be times when security that is to be applied to a series of related databases isn t uniform: fields for some records should be restricted, while others may not be. Here, you may segregate groups of records that share security characteristics into different databases, apply security to each one individually, and then concatenate them into a single, virtual database. The scope of security is specific to each database, so that the security model applied to the primary database doesn t supersede that of secondary, concatenated databases. Another reason to concatenate databases is one of simple management: it might be easier for you to create separate databases that are related to the same matter, but that represent slightly different material per database, or that come from a variety of sources. You can color code records in each database so that users may see, at a glance, which records come from which database, and therefore, from which source.

Tip In 10g and above, the Oracle DBMS treats the use of DUAL like a function call that simply evaluates the expression used in the column list. This provides even better performance results than directly accessing the DUAL table.

Note This section is very short, but it is crucial to get the rest of this chapter s application running properly. Make sure you don t miss out. If you have failing tests later on in this chapter, the most likely reason is that you ve forgotten to add the Service view.

Concatenation works like this: one database is designated as the main database. If other databases have been concatenated, they ll appear in a database concatenation file a file that has the same name as the primary database, and that has a .CAT extension. Note that there are no restrictions as to where the individual databases are stored across a network. As long as users have the appropriate permissions to read and write to files in all folders referenced in the concatenation file, the virtual database will behave normally. However, concatenated databases spread over a Wide Area Network (WAN) might experience latency issues, and perform more slowly than a series of concatenated databases that reside on the same network server.