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This syntax was the only one available until the 1992 SQL standard. Any number of tables could be specified, separated by commas. All join predicates had to be specified in a single WHERE clause. Although you haven t seen an example, in the new syntax each join is a distinct operation on two tables and has its own ON clause, so joining more than two tables requires multiple join operators, each with its own ON clause. The new syntax is not only preferred because the old might someday be unsupported, but also because it forces you to specify precisely (and think clearly about) what joins you need. As the final inner join example, you ll see how to perform joins on more than two tables with the new syntax.

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Executing this query should produce six results F, and each of them should contain either misfire or salesman G. Now that we have seen our first example, let s change a couple of the variables and see what effect they have on results. Leaving DEFAULT_MIN_WORD_LENGTH and DEFAULT_ MAX_WORD_LENGTH set to their default values of 0 and DEFAULT_MAX_QUERY_ TERMS to its default value of 25 produces 154 results. The query has now become

Finally ' Close connection conn.Close() End Try End Sub End Module 3. Make ResultSetInfo the startup project, and run it by pressing Ctrl+F5. You should see the results in Figure 12-4.

You ll replace the customer ID with the customer name. To get it, you have to access the Customers table. Enter the following query into SSMSE and execute it. If you widen the CustomerName column, you should see the results in Figure 11-16.

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description:reeves description:wooden description:misfire description:traveling description:agrees description:completely description:salesman description:keanu description:help description:woman description:romantic description:plays

It should be pretty clear after this single experiment how drastically the parameters affect results. It should also be clear that a lot of experimentation with your repository and the MoreLikeThis class will be necessary for you to achieve the results you desire.

select o.orderid e.lastname from orders o inner join employees e on o.employeeid = e.employeeid inner join customers c on o.customerid = c.customerid

The GetName method gets a column name by its index. This method returns information about the result set, so it can be called before the first call to Read(): 'get column names Console.WriteLine("Column Name:{0} {1}", _ rdr.GetName(0).PadRight(20), _ rdr.GetName(1)) The GetDataTypeName method returns the database data type of a column. It too can be called before the first call to the Read method: 'get column data types Console.WriteLine("Data Type:{0} {1}", _ rdr.GetDataTypeName(0).PadRight(20), _ rdr.GetDataTypeName(1)) The FieldCount property of the data reader contains the number of columns in the result set. This is useful for looping through columns without knowing their names or other attributes.

12.5 Summary

c.companyname CustomerName,

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You have seen that scoring is not an easy topic. Lucene utilizes Boolean-style queries, but a modified vector space model is its heart and soul. You saw how Lucene exposes several classes concerned with the scoring process. DefaultSimilarity, Similarity, Weight, and Scorer provide ways to adjust scoring any way the developer could want. You also saw that it is possible to avoid a lot of work if you take a critical look at what you are trying to accomplish and do a little planning before you jump headlong into generating code. It is not always necessary to develop your own implementations of all of the classes related to scoring. Armed with what you know now, it is quite often possible to cope with a given situation by implementing just one of them, Similarity.

First, you modified the select list, replacing CustomerID from the Orders table with CompanyName from the Customers table:

Lucene contains the org.apache.lucene.search.function package, which contains classes that allow you to modify scoring. Be warned, though, that all of these classes are, as of version 2.3.1, experimental, and there is no guarantee of what will happen with them in the future. The Lucene documentation itself has the following disclaimer on classes in this package: introduced here might change in the future and will not be supported anymore in such a case.

'get number of columns Console.WriteLine() Console.WriteLine("Number of columns in a row: {0}", _ rdr.FieldCount) Finally, you see how the GetOrdinal and GetFieldType methods are used. The former returns a column index based on its name; the latter returns the Visual Basic type. These are the countertypes of GetName() and GetDataTypeName(), respectively. 'get info about each column Console.WriteLine("'{0}' is at index {1} " & _ "and its type is: {2}", _ rdr.GetName(0), _ rdr.GetOrdinal("contactname"), _ rdr.GetFieldType(0)) So much for obtaining information about result sets. You ll now learn how to get information about schemas.

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