AdventureWorks Database: Retrieve individuals using multiple conditions

SQL Query - AdventureWorks: Exercise-44 with Solution

44. Create a SQL query to retrieve individuals from the following table with a businessentityid inside 1500, a lastname starting with 'Al', and a firstname starting with 'M'.

businessentityid|persontype|namestyle|title|firstname               |middlename      |lastname              |suffix|emailpromotion|additionalcontactinfo|demographics|rowguid                             |modifieddate           |
----------------+----------+---------+-----+------------------------+----------------+----------------------+------+--------------+---------------------+------------+------------------------------------+-----------------------+
               1|EM        |false    |     |Ken                     |J               |Sánchez               |      |             0|                     |[XML]       |92c4279f-1207-48a3-8448-4636514eb7e2|2009-01-07 00:00:00.000|
               2|EM        |false    |     |Terri                   |Lee             |Duffy                 |      |             1|                     |[XML]       |d8763459-8aa8-47cc-aff7-c9079af79033|2008-01-24 00:00:00.000|
               3|EM        |false    |     |Roberto                 |                |Tamburello            |      |             0|                     |[XML]       |e1a2555e-0828-434b-a33b-6f38136a37de|2007-11-04 00:00:00.000|
               4|EM        |false    |     |Rob                     |                |Walters               |      |             0|                     |[XML]       |f2d7ce06-38b3-4357-805b-f4b6b71c01ff|2007-11-28 00:00:00.000|
               5|EM        |false    |Ms.  |Gail                    |A               |Erickson              |      |             0|                     |[XML]       |f3a3f6b4-ae3b-430c-a754-9f2231ba6fef|2007-12-30 00:00:00.000|
               6|EM        |false    |Mr.  |Jossef                  |H               |Goldberg              |      |             0|                     |[XML]       |0dea28fd-effe-482a-afd3-b7e8f199d56f|2013-12-16 00:00:00.000|
               7|EM        |false    |     |Dylan                   |A               |Miller                |      |             2|                     |[XML]       |c45e8ab8-01be-4b76-b215-820c8368181a|2009-02-01 00:00:00.000|
               8|EM        |false    |     |Diane                   |L               |Margheim              |      |             0|                     |[XML]       |a948e590-4a56-45a9-bc9a-160a1cc9d990|2008-12-22 00:00:00.000|
               9|EM        |false    |     |Gigi                    |N               |Matthew               |      |             0|                     |[XML]       |5fc28c0e-6d36-4252-9846-05caa0b1f6c5|2009-01-09 00:00:00.000|
			   -- more --

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Sample Solution:

-- Selecting specific columns from the Person table
SELECT businessentityid, firstname, LastName  

-- From the Person schema's Person table
FROM person.person 

-- Filtering the results to include only rows where businessentityid is less than or equal to 1500
-- AND the last name contains 'Al' (case-insensitive)
-- AND the first name contains 'M' (case-insensitive)
WHERE businessentityid <= 1500 AND LastName LIKE '%Al%' AND FirstName LIKE '%M%';

Explanation:

• The SQL query retrieves data from the Person table within the Person schema.
• It selects three columns: businessentityid, firstname, and LastName.
• The WHERE clause filters the results based on three conditions:
• businessentityid is less than or equal to 1500.
• LastName contains 'Al' (using the % wildcard to match any characters before and after 'Al').
• FirstName contains 'M' (using the % wildcard to match any characters before and after 'M').
• The LIKE operator is used for pattern matching with wildcards:
• % represents zero or more characters.
• This query will return rows where the businessentityid is less than or equal to 1500, the last name contains 'Al', and the first name contains 'M'.

Sample Output:

businessentityid|firstname|lastname |
----------------+---------+---------+
             327|Milton   |Albury   |
             335|Michelle |Alexander|
             341|Marvin   |Allen    |
             343|Michael  |Allen    |
            1149|Mary     |Alexander|

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