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When you get more experience with grep, you ll find it is a very powerful and versatile command. Particularly useful is the option to work with regular expressions, which let you search for very specific text patterns in a file. Imagine, for example, that you want to find files that contain the text string nds , but only if that string occurs as a separate word. You wouldn t want to retrieve all files that contain the word commands for instance. So you would use regular expressions, and they offer a wide range of options. Four of them are particularly useful: ^text searches for text at the beginning of a line. text$ searches for text at the end of a line. \<text searches for text at the beginning of a word. text>\ searches for text at the end of a word.

You can use the Empcte CTE with different SELECT statements and assignment values other than 109 for @TopEmp. For example, you may be interested in mapping the employees reporting directly or indirectly to the employee with an employee identification number of 12. You can do this by assigning 12 to @TopEmp in the SET statement before the CTE.

class CreateRegistrations < ActiveRecord::Migration def self.up create_table :registrations do |t| t.column :user_id, :integer t.column :event_id, :integer t.column :note, :string, :length => 400 t.column :created_at, :datetime end end def self.down drop_table :registrations end end

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You may also want to show the names of managers as well as their identification number The following SELECT statement demonstrates the syntax for recovering the employee name corresponding to a manager s identification number In addition, it sorts returned rows by lvl, mgrid, and empid column values, in that order SELECT empid, empname, mgrid, CAST(REPLACE(cFirstName + ' ' + ISNULL(cMiddleName, '') + ' ' + cLastName, ' ', ' ') AS nvarchar(18)) 'Manager''s name', dName, lvl FROM Empcte ecte JOIN HumanResourcesEmployee e ON ectemgrid = eEmployeeID JOIN PersonContact c ON cContactID = eContactID ORDER BY lvl, mgrid, empid The result set for the preceding SELECT statement appears next.

When using any of these regular expressions, it is always a good idea to put the search pattern between single quotes. The single quotes tell the shell not to interpret anything in the regular expression, so that grep can do the interpretation. So use grep '\<linda' * and not grep \<linda *. Let s examine some examples with this. To show how it works, consider the name poem file in Listing 2-7. Listing 2-7. Example Text File blah ra dala ma na na blahra dala ma nana narablah naka dala ma ka ka radalamanablah Listing 2-8 shows the result of the different regular expressions. Listing 2-8. Example of Regular Expression Usage sander@RNA:~$ grep '^blah' poem blah ra dala ma na sander@RNA:~$ grep 'blah$' poem ka ka radalamanablah sander@RNA:~$ grep '\<blah' poem blah ra dala ma na na blahra dala ma nana sander@RNA:~$ grep 'blah\>' poem blah ra dala ma na narablah naka dala ma ka ka radalamanablah sander@RNA:~$ grep '\<blah\>' poem blah ra dala ma na As you can see, in the first example line (grep '^blah' poem), grep locates only those lines that start with the text blah , which produces one match only. Next, grep 'blah$' poem is used to find lines that end with the text blah . Following that, grep '\<blah' poem is used to find all lines that contain a word that starts with the string blah . Next, you can see that grep 'blah\>' poem finds all words that end with the poem string. Finally, the command grep '\<blah\>' poem finds only those lines in which blah occurs as a word on its own.

To keep things simple, we re just going to allow people to add a note whenever they want to attend an event. For instance, someone might want to say Can t wait to be there! I m so excited! or Is packagethief coming Let s update our models with what we need. Add the code snippets shown in Listings 5-14, 5-15, and 5-16 to the relevant models.

This result set includes three levels of employees reporting directly or indirectly to the employee with an identification number of 12; the employee s name is Terri Lee Duffy, who is the head of the Engineering department Terri has people reporting directly and indirectly from the Engineering department as well as the Research and Development and Tool Design departments The result set truncates the name of one department (Research and Development) Just one employee, Roberto Tamburello, reports directly to Terri All the other employees in the result set report indirectly to Terri Rob Walter appears twice as an employee because the EmployeeDepartmentHistory table in the HumanResources schema of the AdventureWorks database maps the EmployeeID for Rob Walter to two different departments (Engineering and Tool Design).

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