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    Module 3:Retrieving Data

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    Overview

    Retrieving Data by Using the SELECTStatement

    Filtering Data

    Formatting Result Sets

    How Queries Are Processed

    Performance Considerations

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    Retrieving Data by Using theSELECT Statement

    Using the SELECT Statement

    Specifying Columns

    Using the WHERE Clause to SpecifyRows

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    SELECT [ALL | DISTINCT]

    FROM {} [,n]WHERE

    Partial Syntax

    Using the SELECT Statement

    Select List Specifies the Columns

    WHERE Clause Specifies the ConditionRestricting the Query

    FROM Clause Specifies the Table

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    Specifying Columns

    employeeidemployeeid lastnamelastname firstnamefirstname titletitle

    1 Davolio Nancy Sales Representative

    2 Fuller Andrew Vice President, Sales

    3 Leverling Janet Sales Representative

    4 Peacock Margaret Sales Representative

    5 Buchanan Steven Sales Manager

    6 Suyama Michael Sales Representative

    7 King Robert Sales Representative

    8 Callahan Laura Inside Sales Coordinator

    9 Dodsworth Anne Sales Representative

    USE northwind

    SELECT employeeid, lastname, firstname, title

    FROM employees

    GO

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    Using the WHERE Clause to SpecifyRows

    employeeidemployeeid lastnamelastname firstnamefirstname titletitle

    5 Buchanan Steven Sales Manager

    USE northwind

    SELECT employeeid, lastname, firstname, title

    FROM employees

    WHERE employeeid = 5

    GO

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    Filtering Data

    Using Comparison Operators

    Using String Comparisons

    Using Logical Operators Retrieving a Range of Values

    Using a List of Values as SearchCriteria

    Retrieving Unknown Values

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    Using Comparison Operators

    USE northwind

    SELECT lastname, city

    FROM employees

    WHERE country = 'USA'

    GO

    lastnamelastname citycity

    Davolio SeattleFuller Tacoma

    Leverling Kirkland

    Peacock Redmond

    Callahan Seattle

    Example 1

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    Using String Comparisons

    USE northwind

    SELECT companyname

    FROM customers

    WHERE companyname LIKE '%Restaurant%'

    GO

    companynamecompanyname

    GROSELLA-Restaurante

    Lonesome Pine Restaurant

    Tortuga Restaurante

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    Using Logical Operators

    USE northwind

    SELECT productid, productname, supplierid, unitprice

    FROM products

    WHERE(productname LIKE 'T%' OR productid = 46)AND (unitprice > 16.00)

    GO

    productidproductid productnameproductname supplieridsupplierid unitpriceunitprice

    14 Tofu 6 23.25

    29 Thringer Rostbratwurst 12 123.79

    62 Tarte au sucre 29 49.3

    Example 1

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    Retrieving a Range of Values

    USE northwind

    SELECT productname, unitprice

    FROM products

    WHERE unitprice BETWEEN 10 AND 20

    GO

    productnameproductname unitpriceunitprice

    Chai 18

    Chang 19

    Aniseed Syrup 10Genen Shouyu 15.5

    Pavlova 17.45

    Sir Rodneys Scones 10

    Example 1

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    USE northwind

    SELECT companyname, country

    FROM suppliers

    WHERE country IN ('Japan', 'Italy')

    GO

    Using a List of Values as SearchCriteria

    companynamecompanyname countrycountry

    Tokyo Traders Japan

    Mayumis Japan

    Formaggi Fortini s.r.l. Italy

    Pasta Buttini s.r.l. Italy

    Example 1

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    Retrieving Unknown Values

    USE northwindSELECT companyname, fax

    FROM suppliers

    WHERE fax IS NULL

    GO

    companynamecompanyname faxfax

    Exotic Liquids NULL

    New Orleans Cajun Delights NULLTokyo Traders NULL

    Cooperativa de Quesos Las Cabras NULL

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    Formatting Result Sets

    Sorting Data

    Eliminating Duplicate Rows

    Changing Column Names Using Literals

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    Sorting Data

    USE northwindSELECT productid, productname, categoryid, unitprice

    FROM products

    ORDER BY categoryid, unitprice DESC

    GO

    productidproductid productnameproductname categoryidcategoryid unitpriceunitprice

    38 Cote de Blaye 1 263.5000

    43 Ipoh Coffee 1 46.0000

    2 Chang 1 19.0000

    63 Vegie-spread 2 43.9000

    8 Northwoods Cranberry Sauce 2 40.0000

    61 Sirop d'rable 2 28.5000

    Example 1

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    Eliminating Duplicate Rows

    USE northwind

    SELECT DISTINCT country

    FROM suppliersORDER BY country

    GO

    countrycountry

    AustraliaBrazil

    Canada

    Denmark

    Finland

    FranceGermany

    Italy

    Japan

    Netherlands

    NorwaySingapore

    Spain

    Sweden

    UK

    USA

    Example 1

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    Changing Column Names

    USE northwind

    SELECT firstname AS First, lastname AS Last

    ,employeeidAS 'Employee ID:'FROM employees

    GO

    FirstFirst LastLast Employee ID:Employee ID:

    Nancy Davolio 1

    Andrew Fuller 2

    Janet Leverling 3

    Margaret Peacock 4Steven Buchanan 5

    Michael Suyama 6

    Robert King 7

    Laura Callahan 8

    Anne Dodsworth 9

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    Using Literals

    USE northwindSELECT firstname, lastname

    ,'Identification number:', employeeid

    FROM employees

    GO

    FirstFirst LastLast Employee ID:Employee ID:

    Nancy Davolio Identification Number: 1

    Andrew Fuller

    Janet Leverling

    Margaret PeacockSteven Buchanan

    Michael Suyama

    Robert King

    Laura Callahan

    Anne Dodsworth

    Identification Number: 2

    Identification Number: 3

    Identification Number: 4Identification Number: 5

    Identification Number: 6

    Identification Number: 7

    Identification Number: 8

    Identification Number: 9

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    How Queries Are Processed

    Uncached Queries

    (Ad Hoc)

    CachedQueries

    ExecuteCompileOptimizeResolveParse

    FirstExecution

    ExecuteCompileOptimizeResolveParse

    Subsequent

    Execution

    ExecuteProcedure

    Cache

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    How Queries Are CachedAutomatically

    Ad Hoc Batches

    Auto-Parameterization

    USE northwind

    SELECT * FROM products WHERE unitprice = $12.5

    SELECT * FROM products WHERE unitprice = 12.5SELECT * FROM products WHERE unitprice = $12.5

    GO

    USE librarySELECT * FROM member WHERE member_no = 7890

    SELECT * FROM member WHERE member_no = 1234

    SELECT * FROM member WHERE member_no = 7890

    GO

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    Performance Considerations

    Not Search Conditions May Slow DataRetrieval

    LIKE Search Conditions Slow Data

    Retrieval

    Exact Matches or Ranges May SpeedData Retrieval

    ORDER BY Clause May Slow DataRetrieval

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    Recommended Practices

    Use the DISTINCT Clause to Eliminate Duplicate Rowin the Result Set

    Improve the Readability of a Result Set by Changing

    Column Names or by Using Literals

    In Multi-Line Column Lists, Place Commas Before thColumn Names, Excluding the First Column

    Lab A: Retrieving Data and

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    Lab A: Retrieving Data andManipulatingResult Sets

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    Review

    Retrieving Data by Using the SELECTStatement

    Filtering Data

    Formatting Result Sets

    How Queries Are Processed

    Performance Considerations