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The coefficientsyielding the minimum sum of the squares the residuals obtainedby of are settingthe partial derivativesequal to zero and expressing resultin matrix form as the

-- See how many fragments exist for each full text index. -- If multiple closed fragments exist for a table do a REORGANIZE to help performance SELECT t.name as TableName , f.data_size , f.row_count , case f.status

I*', Irr, Ifoo f n I"'t, I"ti' I x r i r z iI l a r I [ L I trr Ir,,rr, I rt, _1nt EXAMPLE Multiple 142 Lineor Regression

WHEN 0 THEN 'Newly created and not yet used' WHEN 1 THEN 'Being used for insert' WHEN 4 THEN 'Closed ready for query' WHEN 6 THEN 'Being used for merge input and ready for query' WHEN 8 THEN 'Marked for deletion. Will not be used for query and merge source' ELSE 'Unknown status code' END FROM sys.fulltext_index_fragments f JOIN sys.tables t on f.table_id = t.object_id;

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(145)

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When this query returns, look for rows whose type is 4, or Closed ready for query. A table will be listed once for each fragment it has. If it turns out that you have a high number of closed fragments, you should consider doing a REORGANIZE on the index (using the ALTER FULLTEXT INDEX statement). Note two things: first you must do a reorganize, as opposed to a rebuild. Second, the exact number of fragments that will cause you issues is somewhat dependant on your hardware. But as a rule of thumb, if it exceeds 50, start planning a reorganize, and if it s over 100, start planning in a hurry.

Problem Sfotement The following data was calculated from the equation y : 5 + 4x1- 3r2'

We ll close this chapter out by answering one of the most-often-asked questions: how can I find out what words are contained in my full-text index New with SQL Server 2008 are a pair of dynamic management functions (DMFs) that can help us answer that very question. The first is sys.dm_fts_index_keywords. To use this function, pass in the database ID and object ID for the table you want to discover the keywords for. It returns a table with many columns; this query shows you the more useful ones. Note that it also references the sys.columns view in order to get the column name:

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in lifestyles, and moral and ethical con icts All these developments have ignited a rethinking of general education

Use multiple linear regression fit this data to Solution The summationsrequired to develop Eq (1a5) are computedin Table 142 Substituting them into Eq (145)gives

SELECT keyword, display_term, c.name, document_count FROM sys.dm_fts_index_keywords(db_id() , object_id ('Production.ProductDescription')) fik JOIN sys.columns c on c.object_id = object_id('Production.ProductDescription') AND c.column_id = fik.column_id;

which can be solvedfor (10:5 at:4

The db_id() function allows us to easily retrieve the database ID. We then use the object_id function to get the ID for the table name, passing in the text-based table name. Table 6 shows a sampling of the results.

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(146)

Table 6 Sample of results for query to find keywords Keyword 0x006C0069006700680074 0x006C006900670068007400650072 0x006C0069006700680074006500730074 0x006C0069006700680074007700650069006700680074 Display term light lighter lightest lightweight Column Description Description Description Description Document count 7 1 1 11

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The foregoing two-dimensionalcasecan be easily extendedto m dimensions,as in * ) : a oI a 1 x 1 a 2 x 2 + " + a r x ^ * e

Table 6 Sample of results for query to find keywords (continued) Keyword 0x006C00690067006E0065 0x006C0069006E0065 0x006C0069006E006B Display term ligne line link Column Description Description Description

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