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With applications there s no way to anticipate what a user will enter as the text of a query. Toward the end of section 7.1.1 we discussed the problem with the (dash) character being misinterpreted as a Boolean NOT operator. You cannot expect the users of your application to know and understand that they will have to escape dashes with a backslash (that just won t happen). Well, surprise, it is not just the character you will have to consider escaping. Lucene uses several special characters to go about normal everyday tasks, and, as we ve shown in section 7.1.1, these could be misinterpreted if they were used as is in queries. Table 7.2 shows a list of those characters. How can we escape these special characters in our application when we have no control over how users enter their query strings Listing 7.6 is one example of how to accomplish this. Feel free to use this code as you see fit in your applications. If you re running a Java version earlier than 1.5, the QueryParser class supplies a method that accomplishes the same results: public static String escape(String s).

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Table 7.2 Special character Special characters and their interpretation Where it is used shorthand for AND shorthand for NOT additional shorthand for AND additional shorthand for OR additional shorthand for NOT grouping parentheses exclusive lower bound exclusive upper bound Special character Where it is used inclusive lower bound inclusive upper bound term boost phrase query delimiter proximity query slop factor fuzzy query minimumumSimilarity multicharacter wildcard single-character wildcard fieldname/term delimiter escape character

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Tutorial in using the Barcode Fonts in Microsoft Excel 2007, 2010, 2013 or 2016. All the functions available in the Encoder like generating a check digit, formatting the encoded barcode string and adding of start/stop characters are also available as Microsoft Office Macros.

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Write a script that declares three variables, one integer variable called @ID, an NVARCHAR(50) variable called @FirstName, and an NVARCHAR(50) variable called @LastName. Use a SELECT statement to set the value of the variables with the row from the Person.Person table with BusinessEntityID = 1. Print a statement in the BusinessEntityID: FirstName LastName format. DECLARE @ID INT, @FirstName NVARCHAR(50), @LastName NVARCHAR(50); SELECT @ID = BusinessEntityID, @FirstName = FirstName, @LastName = LastName FROM Person.Person WHERE BusinessEntityID = 1; PRINT CONVERT(NVARCHAR,@ID) + ': ' + @FirstName + ' ' + @LastName;

3. Now execute the code using your chosen method, and you should see the following results:

+ && || !

By using the DROP_EXISTING clause of the CREATE INDEX command, you can then perform the modification in one execution rather than two. This will drop the index and re-create it.

[ ] ^ ~ * : \

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Write a script that declares an integer variable called @SalesCount. Set the value of the variable to the total count of sales in the Sales.SalesOrderHeader table. Use the variable in a SELECT statement that shows the difference between the @SalesCount and the count of sales by customer. DECLARE @SalesCount INT; SELECT @SalesCount = COUNT(*) FROM Sales.SalesOrderHeader; SELECT @SalesCount - COUNT(*) AS CustCountDiff, CustomerID FROM Sales.SalesOrderHeader GROUP BY CustomerID;

Programmatically escaping special characters from user-entered queries Define the special characters

Take care when building indexes. It is possible to use the same columns in the same order more than once, thus creating the same index twice, but under two different index names. This is a waste of time and will place unnecessary overhead on SQL Server. However, when including key column(s) from a clustered index in a nonclustered index, because the row pointer is actually the clustered index key, SQL is smart enough not to store the information twice in the nonclustered index, and you can explicitly define the order of the clustered index keys as they are used in the nonclustered index.

private static final String[] SPECIALS = new String[]{ "+", "-", "&&", "||", "!", "(", ")", "{", "}", "[", "]", "^", "\"", "~", "*", " ", ":", "\\" }; protected String escapeSpecials(String clientQuery) { String regexOr = ""; for (String special : SPECIALS) { regexOr += (special .equals(SPECIALS[0]) "" : "|") + "\\" + special.substring(0, 1); } clientQuery = clientQuery .replaceAll("( <!\\\\)(" + regexOr + ")", "\\\\$1"); return clientQuery.trim(); }

As the amount of data in your database expands, expansion may occur in areas that are unexpected. The application originally built with your database could have extensions, so your original database design and index decisions may not still be 100% correct. The underlying problem is that queries are happening within your database against data for which a suitable index doesn t exist. When SQL Server accesses data, it uses its query optimizer to generate what is termed a query plan. A query plan is a plan of actions that SQL Server uses to perform the query you have built against the data. The query plan could consist of several steps that SQL Server performs to execute your query and produce the results you require. You will see an overview of query plans when I discuss advanced T-SQL in 12. When you look at a query plan, you ll need to decide which is the best index to use to perform the query filtration.

Use the AdventureWorks2008 database to complete this exercise. 1. Write a batch that declares an integer variable called @Count to save the count of all the Sales.SalesOrderDetail records. Add an IF block that that prints Over 100,000 if the value exceeds 100,000. Otherwise, print 100,000 or less. DECLARE @Count INT; SELECT @Count = COUNT(*) FROM Sales.SalesOrderDetail;

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