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Concordance offers several methods to search both objective and subjective data. Each search is saved in a history and is given a numerical alias, starting with query 00000 (all records). Using query aliases to refer to previous searches means that separate queries can be combined. Reviewers can select records based on keywords and comparisons, and then join those results against records that have subjective annotations. Using the Query by Example dialog, you can select field names from a list, specify comparison criteria, and enter search terms or values. This is an excellent tool for new users. The Search window allows you to select the scope of a search (database, notes, or both) and enter search syntax directly. The <Quick Search> search field also allows you to enter search syntax directly. Unlike the previous two methods, the <Quick Search> field is embedded in the main Concordance screen itself when Browse view or Table view are active, and you can view retrieved records immediately. Concordance searches use a specific syntax and make use of a range of operators. You can use relational operators such as less than (LT) and greater than (GT) to test data against specific values. You can use Boolean operators such as AND, NOT, and OR to include or exclude documents by comparing them against conditions. You use the proximity operators ADJ and NEAR to locate words within a specified distance from each other. The context operators SAME and NOTSAME and search limiters locate documents that include or exclude combinations of keywords. To search document-level tags, you can either use the Tag/Issue Management dialog, or use the Create Query from tags(s) right-click option from the tagging screen.

For some of your other queries, indexes on department numbers or birth dates could be useful. You can create as many indexes per table as you like. In summary, the performance of your SQL statements can often be improved significantly by creating indexes. Sometimes, it is obvious that an index will help, such as when your tables contain a lot of rows and your queries are very selective (only retrieving a few rows). On the other hand, though, you may find that your application benefits from an index on a single-row, single-column table. Indexes may speed up queries, but the other side of the index picture is the maintenance overhead. Every additional index slows down data manipulation further, because every INSERT/UPDATE/DELETE statement against a table must immediately be processed against all corresponding indexes to keep the indexes synchronized with the table. Also, indexes occupy additional space in your database. This means that you should carefully consider which columns should be indexed and which ones should not be indexed. These are some suggestions for index candidates: Foreign key columns Columns often used in WHERE clauses Columns often used in ORDER BY and GROUP BY clauses

The database code in this chapter relies on functionality in DBIx::Class::Schema::Loader version Tip 0.4006 or later. To make sure that you have the correct version installed, issue the following command from the prompt:

Figure 7-11. CREATE INDEX command syntax diagram The storage clause allows you to influence various physical index storage attributes, such as the storage location and the space allocation behavior. See the Oracle SQL Reference for more details. If the table rows happen to be inserted and stored in index order, you can specify the NOSORT option to speed up index creation. The Oracle DBMS will skip the sort phase (normally needed during index creation), but if the rows turn out to be in the wrong order, the CREATE INDEX command will fail with an error message.

You can save one or more searches and run them against a database in later sessions. You use a query file to retain the logic of one or more searches. The query file can produce varying results if underlying data evolves. You use a snapshot to retain the results of one or more searches; it s a static picture of a database. Although users might be content to review records onscreen, Concordance provides several methods to create printed output. The next chapter explores these facilities.

Unique indexes serve two purposes: they provide additional access paths to improve response times (like nonunique indexes), and they also prevent duplicate values. You create unique indexes by specifying the UNIQUE option of the CREATE INDEX command (see Figure 7-11). Note, however, that it is recommended to ensure uniqueness in your tables using the PRIMARY KEY and UNIQUE constraints, leaving it up to the Oracle DBMS to choose an appropriate physical implementation of those constraints.

perl -MDBIx::Class::Schema::Loader\ 9999