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If you feel that data within a table is retrieved more often than it is modified, or if the performance of the retrieval is more critical than the performance of the modification, then do look at including the column within the index In the example application we re building, each month we need to update a customer s bank balance with any interest gained or charged However, we have a nightly job that wants to check for clients who have between $10,000 and $50,000, as the bank can get a higher rate of deposit with the Federal Reserve on those sorts of amounts A client s bank balance will be constantly updated, but an index on this sort of column could speed up the overnight deposit check program.

Write a query that calculates the square root of the SalesOrderID value from the Sales.SalesOrderHeader table. SELECT SQRT(SalesOrderID) AS OrderSQRT FROM Sales.SalesOrderHeader;

Summary

Before the index in this example is created, we need to determine if the slight performance degradation in the updating of the balances is justified by the improvement of performance of the deposit check program..

text version of the Explanation object. This approach is useful when you test your Lucene queries. From a given FullTextQuery instance, you can call the explain method, passing the document id of the object for which you want the explanation. Document ids can be retrieved by using a projection (see section 6.5 for more details). Listing 6.23 shows how to use the API.

Write a statement that generates a random number between 1 and 10 each time it is run. SELECT CAST(RAND() * 10 AS INT) + 1;

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public Explanation explainFirstMatchingItem(String words) { FullTextSession ftSession = SessionHolder.getFullTextSession(); org.apache.lucene.search.Query luceneQuery = buildLuceneQuery( words, Item.class ); FullTextQuery query = ftSession.createFullTextQuery( luceneQuery, Item.class ); @SuppressWarnings("unchecked") Object[] result = (Object[]) query Retrieve the .setProjection( document id FullTextQuery.DOCUMENT_ID, FullTextQuery.THIS) .setMaxResults( 1 ) .uniqueResult(); Explain a given return query.explain( (Integer) result[0] ); }

One important use of indexes is on referential constraints within a table. If you recall from 3, a referential constraint is where you ve indicated that through the use of a key, certain actions are constrained depending on what data exists. To give a quick example of a referential constraint, say you have a customer who owns banking products. A referential constraint would prevent the customer s record from being deleted while those products existed. SQL Server does not automatically create indexes on your foreign keys. However, as the foreign key column values need to be identified by SQL Server when joining to the parent table, it is almost always recommended that an index be created on the columns of the foreign key.

Finally, you can ask Hibernate Search to project the Explanation object for all matching documents by using query.setProjection(FullTextQuery.EXPLANATION);. This approach is not recommended unless you know that the number of matching documents is limited (by using pagination, for example). Building an Explanation object is as expensive as executing the Lucene query. By reading chapter 12, you ll have a much better understanding of the Explanation object. We use it extensively to explain how a score is computed. You can also check Lucene in Action, which has a nice section on the subject.

Ideal candidates for indexes are columns that allow SQL Server to quickly identify the appropriate rows. In 8, we ll meet the WHERE clause of a query. This clause lists certain columns in your table and is used to limit the number of rows returned from a query. The columns used in the WHERE clause of your most common queries make excellent choices for an index. So, for example, if you wanted to find a customer s order for a specific order number, an index based on customer_id and order_number would be perfect, as all the information needed to locate a requested row in the table would be contained in the index. If finding specific records is going to make up part of the way the application works, then do look at this scenario as an area for an index to be created.

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