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1. Login in to the mysql client using the login name and password provided by your instructor (if not already logged in). 2. View the existing databases that the MySQL Server is maintaining. SHOW DATABASES; 3. Utilize the photo_album database. USE photo_album; ---- If Need be, recreate the database and load the SQL data in that will be used for this lab CREATE DATABASE photo_album; SOURCE /tmp/photo_album.sql; 4. Search the customers records for the customer with the following e-mail address: hollywood@truedog.com SELECT * FROM customers WHERE email_customer = 'hollywood@truedog.com'\G 5. Search the logins records for logins associated with the customer identified in step 4. SELECT * FROM logins WHERE email_customer = 'hollywood@truedog.com'; 6. In the customers table, update the customers e-mail address, identified in step 4, to howleewood@truedog.com. UPDATE customers SET email_customer = 'howleewood@truedog.com' WHERE email_custo

1. Login in to the mysql client using the login name and password provided by your instructor (if not already logged in). 2. View the existing databases that the MySQL Server is maintaining. SHOW DATABASES; 3. Utilize the photo_album database. USE photo_album; ---- If Need be, recreate the database and load the SQL data in that will be used for this lab CREATE DATABASE photo_album; SOURCE /tmp/photo_album.sql; 4. Calculate how many days ago each person logged into the photo_album system. Note: Difference in dates are returned in microseconds when directly subtracted from each other. SELECT login_name, ROUND((NOW() - last_login)/24/60/60/60) FROM logins; 5. List the actual day name (Monday, Tuesday, etc.) for the last logins to determine if there is a trend in the day of the week for the last time a person logged into the photo_album system. SELECT login_name, DAYNAME(last_login) FROM logins; 6. Modify the statement above by having the output show 'Weeke

            There are many clauses, and combinations thereof, that can be used with a SELECT statement to yield  particular table query results.  They range from very basic, commonly-used options to very specialized and  complex.  The following basic, optional clauses will be covered in this section:  Clauses                   Definition DISTINCT                Eliminates duplicate row data  FROM                      Specifies what table(s) to retrieve data from  WHERE                   Decides what data to show  ORDER BY             Sorts data by specified order criteria  LIMIT                        Reduces the amount of records received  Example of SELECT statement with clauses:  SELECT DISTINCT values_to_display FROM table_name WHERE expression ORDER BY how_to_sort LIMIT row_count;               The above syntax shows the correct order and usage of each of the above optional clauses.  This statement is specifically  selecting  distinct data rows  from a named ta

The  SELECT statement is primarily used to retrieve zero or more  rows from one or more tables in a  database.  In MySQL,  SELECT is the most commonly used DML (Data Manipulation Language)  command.  In specifying a SELECT query, the user specifies a description of the desired result set.  It is  built with optional clauses that specify how and what data to retrieve.  The general command syntax is  shown below;  SELECT [<clause options>] <column list> [FROM] <table>  [<clause options>];  Basic SELECT statement example using world database (and the result data):  mysql> SELECT Name FROM Country;  +-------------------------------------------------+  | Name                                                    |  +-------------------------------------------------+  | Afghanistan                                          |  | Netherlands                                          |  | Netherlands Antilles                            |  | Albania