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Let s retrieve a list of orders, the IDs of the customers who placed them, and the last name of the employees who took them. Enter the following query into SSMSE and execute it. You should see the results in Figure 11-12.

All of these heuristic variables have default values, which are listed in table 12.5 along with an explanation of each of the quantities.

Table 12.5 Default values of MoreLikeThis heuristic variables and their meanings Variable name Default value StandardAnalyzer 2

select orders.orderid, orders.customerid, employees.lastname from orders inner join employees on orders.employeeid = employees.employeeid

To see typed accessors in action, you ll build a console application that uses them. For this example, you ll use the Products table from the Northwind database. Table 12-3 shows the data design of the table. For the data types given in this table, use Table 12-1 to look up their corresponding typed accessor methods so you can use them correctly in your application.

Analyzer to use when querying. Ignore words less frequent than this in the like document. Ignore words that do not occur in at least this many documents. Ignore words in the like document if less than this length. If zero, this has no effect. Ignore words in the like document if longer than this length. If zero, this has no effect. Return a query with no more than this many terms. Maximum number of tokens to parse in each doc field.

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Because you re selecting columns from two tables, you need to identify which table a column comes from, which you do by prefixing the table name and a dot (.) to the column name. This is known as disambiguation, or removing ambiguity so the database manager knows which column to use. Though this has to be done only for columns that appear in both tables, the best practice is to qualify all columns with their table names. The following FROM clause specifies both the tables you re joining and the kind of join you re using:

DEFAULT_ANALYZER DEFAULT_MIN_TERM_FREQ DEFAULT_MIN_DOC_FREQ DEFAULT_MIN_WORD_LENGTH DEFAULT_MAX_WORD_LENGTH DEFAULT_MAX_QUERY_TERMS DEFAULT_MAX_NUM_ TOKENS_PARSED

It specifies an inner join of the Orders and Employees tables:

Default values of MoreLikeThis heuristic variables and their meanings (continued) Variable name Default value null

ProductID (unique) ProductName SupplierID CategoryID QuantityPerUnit UnitPrice UnitsInStock UnitsOnOrder ReorderLevel Discontinued

Default set of stop words. Null means to allow stop words. Field name(s) of like document to examine.

It also specifies the criteria for joining them:

new String[] { "contents"}

The inner join on EmployeeID produces a table composed of three columns: OrderID, CustomerID, and LastName. The data is retrieved from rows in Orders and Employees where their EmployeeID columns have the same value. Any rows in Orders that don t match rows in Employees are ignored, and vice versa. (This isn t the case here, but you ll see an example soon.) An inner join produces only rows that satisfy the join specification.

4 40 4 4 20 8 2 2 2 1

Looking at these default values, you can see that you will want to change some of them when using the MoreLikeThis class in your own code. As it is, word length has no effect, and as discussed in the email, different values of these quantities can dramatically affect results. Let s look at an example of the MoreLikeThisQuery class in action. Listing 12.19 demonstrates its use. We will again utilize the query.toString() method to show the terms that are extracted from our document and utilized in the additional searches, because this is the crux of the entire process.

s Columns used for joining don t have to appear in the select list. In fact, EmployeeID isn t in the select Tip

public class TestMoreLikeThis extends SearchTestCase { public List<Object[]> results; private FullTextSession session; private IndexReader reader; private ReaderProvider readerProvider; String likeText = Define the like "Keanu Reeves is completely wooden in this document romantic misfire. Reeves plays a traveling salesman and agrees to help a woman" String[] moreLikeFields = new String[]{"description"};

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