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Save the file as before, and restart Apache. You should now find that you are providing compressed content to the world! Currently you have only told Apache to compress the text files that you will most commonly use on your web site by specifying their MIME types. To find a list of possible MIME types that you can compress, take a look (using nano) in /etc/mime.types.

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SQL Server s query optimization process is responsible for producing a query execution plan when a SELECT query is executed. The goal of the query optimizer is to generate an efficient (but not always the best) query execution plan. Under rare circumstances SQL Server may choose an inefficient plan over a more efficient one. If this happens you would be advised to investigate the query execution plan, table statistics, and other factors that are explored in more detail in 28. After researching the query performance, you may decide to override the decision making process of the SQL Server query optimizer by using hints. The next three recipes will demonstrate three types of hints: query, table, and join.

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A join hint is a misnomer in this case, as a join hint will force the query optimizer to join the tables in the way you command. Join hints force the internal JOIN operation used to join two tables in a query. Available join hints are described in Table 1-4. Table 1-4. Join Hints

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There are two reasons why you shouldn t compress every file that Apache sends out. The first reason is that most image and music files such as JPEG, PNG, or MP3 are already highly compressed. This means that even though Apache will spend time compressing them, it won t make much difference in the file size and hence won t help the file to be sent any faster.

LOOP joins operate best when one table is small and the other is large, with indexes on the joined columns. HASH joins are optimal for large unsorted tables. MERGE joins are optimal for medium or large tables that are sorted on the joined column. REMOTE forces the join operation to occur at the site of the table referenced on the right (the second table referenced in a JOIN clause). For performance benefits, the left table should be the local table, and should have fewer rows than the remote right table.

Before showing how the join hint works, the example starts off with the original, non-hinted query: -- (More on SHOWPLAN_TEXT in 28) SET SHOWPLAN_TEXT ON GO SELECT p.Name, r.ReviewerName, r.Rating FROM Production.Product p INNER JOIN Production.ProductReview r ON r.ProductID = p.ProductID GO SET SHOWPLAN_TEXT OFF GO This returns the following abridged results (SHOWPLAN_TEXT returns information about how the query may be processed, but it doesn t actually execute the query): StmtText -----------------------------------------------------------------------------------|--Nested Loops(Inner Join, OUTER REFERENCES:([r].[ProductID])) |--Clustered Index Scan(OBJECT:([AdventureWorks].[Production].[ProductReview].[PK_ProductReview_ ProductReviewID] AS [r])) |--Clustered Index Seek(OBJECT:([AdventureWorks].[Production].[Product].[PK_Product_ProductID] AS [p]), SEEK:([p].[ProductID]=[AdventureWorks].[Production].[ProductReview]. [ProductID] as [r].[ProductID]) ORDERED FORWARD) The next example submits the same query, only this time using a join hint: SET SHOWPLAN_TEXT ON GO SELECT p.Name, r.ReviewerName, r.Rating FROM Production.Product p INNER HASH JOIN Production.ProductReview r ON r.ProductID = p.ProductID GO SET SHOWPLAN_TEXT OFF GO This returns the following abridged results: StmtText -----------------------------------------------------------------------------------|--Hash Match(Inner Join, HASH:([p].[ProductID])=([r].[ProductID])) |--Index Scan(OBJECT:([AdventureWorks].[Production].[Product]. [AK_Product_Name] AS [p])) |--Clustered Index Scan(OBJECT:([AdventureWorks].[Production]. [ProductReview].

In contrast to the handling of previous locales, Sun obtained data (such as currency symbols, locale names, and calendar data) for these new locales from the Unicode Consortium s Common Locale Data Repository (http://unicode.org/cldr/), and then converted this XML-based data into the JRE s locale data format.

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