crystal reports data matrix

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Desktop databases are designed to serve a limited number of users and run on desktop PCs, and they offer a less-expensive solution wherever a database is required. Chances are you have worked with a desktop database program Microsoft SQL Server Express, Microsoft Access, Microsoft FoxPro, FileMaker Pro, Paradox, and Lotus represent a wide range of desktop database solutions. Desktop databases differ from server databases in the following ways: Less expensive: Most desktop solutions are available for just a few hundred dollars. In fact, if you own a licensed version of Microsoft Office Professional, you re already a licensed owner of Microsoft Access, which is one of the most commonly and widely used desktop database programs around. User friendly: Desktop databases are quite user friendly and easy to work with, as they do not require complex SQL queries to perform database operations (although some desktop databases also support SQL syntax if you would like to code). Desktop databases generally offer an easy-to-use graphical user interface.

WARNING Be aware of the effects of analyzers like StandardAnalyzer on Span-

Let s create a stored procedure that produces a list of orders for a given employee. We ll pass the employee ID to the stored procedure for use in a query. 1. Reopen the first SQL edit window (see Figure 12-3) by clicking its tab. Replace the SQL there with

of common words like the, of, a, an, and so forth. These words are eliminated when the index is built and will affect the slop distance. You may not get the results you expect. This design anomaly has caught the authors more than once. Before moving on to third-party contributions, we want to look at one more utility that can make your life a little easier. Let s examine what a spellchecker can do for you.

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create procedure sp_Orders_By_EmployeeId @employeeid int as select orderid, customerid from orders where employeeid = @employeeid;

Server databases are specifically designed to serve multiple users at a time and offer features that allow you to manage large amounts of data very efficiently by serving multiple user requests simultaneously. Well-known examples of server databases include Microsoft SQL Server, Oracle, Sybase, and DB2.

In sections 7.1.4 and 7.4.5 we discussed the FuzzyQuery and the fact that we could utilize it to help us with user-entered misspellings. There is a problem with this. If you ve used the FuzzyQuery for this purpose, you probably soon found out that setting the minimum similarity correctly to get the results you were expecting is a somewhat timeconsuming and tedious process. There is a better and less time-consuming way to pull this off, and that is to use a spellchecker on the field or fields you are concerned with. It just so happens that Lucene includes a spellchecker in the Contributions section. The spellchecker utility .jar file, lucene-spellchecker.jar, is located in the contrib directory at lucene-install-directory\contrib\spellchecker.

2. To execute the stored procedure, refresh the Stored Procedures node, right-click dbo.sp_Orders_By_EmployeeId and click Execute Stored Procedure Enter 2 in the Value column of the prompt window and click OK. You should get the result in Figure 12-6.

Be advised that the spellchecker, as presented, is not the optimal solution. Because it creates its own index outside the bounds of Hibernate Search, it is an unmanaged index. You ll see this in the example code presented shortly. The authors are working on creating a better solution for Hibernate Search, and by the time you read this it should be available for your use.

The spellchecker supports two types of dictionaries:

The CREATE PROCEDURE statement created a stored procedure that has one input parameter. Parameters are specified between the procedure name and the AS keyword. Here you specified only the parameter name and data type, so by default it is an input parameter. Parameter names start with @.

Here are some other characteristics that differentiate server databases from their desktop counterparts: Flexibility: Server databases are designed to be very flexible to support multiple platforms, respond to requests coming from multiple database users, and perform any database management task with optimum speed. Availability: Server databases are intended for enterprises, and so they need to be available 24/7. To be available all the time, server databases come with some highavailability features, such as mirroring and log shipping. Performance: Server databases usually have huge hardware support, and so servers running these databases have large amounts of RAM and multiple CPUs, and this is why server databases support rich infrastructure and give optimum performance. Scalability: This property allows a server database to expand its ability to process and store records even if it has grown tremendously.

text file. Words in this file must be listed one per line. The SpellChecker class is the main interface to these files of words. We re concerned with three methods of this SpellChecker class:

This parameter is used in the WHERE clause of the query:

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