SELECT [ ALL | DISTINCT [ ON ( 
expression

 [, ...] ) ] ]
     
expression

 [ AS 
output_name

 ] [, ...]
    [ INTO [ TEMPORARY | TEMP ] [ TABLE ] 
new_table

 ]
    [ FROM 
from_item

 [, ...] ]
    [ WHERE 
condition

 ]
    [ GROUP BY 
expression

 [, ...] ]
    [ HAVING 
condition

 [, ...] ]
    [ { UNION | INTERSECT | EXCEPT [ALL] } 
select

 ]
    [ ORDER BY 
expression

 
               [ ASC | DESC | USING 
operator

 ] [, ...] ]
    [ FOR UPDATE [ OF 
tablename

 [, ...] ] ]
    LIMIT { 
count

 | ALL } [ { OFFSET | , } 
start

 ]

You can the following command to select all ( * ) columns from the book table:

   SELECT * FROM book;

We can add another relation to our database that contains data about the author of the books. Currently, we only have their author identifier numbers, which makes it easier to access several tables at one time.

The author table has an a_id, which is of type integer. It is a non-null unique primary key. It contains corresponding author numbers to the book table. The last and first name are the names of authors who wrote the books. Lastly, the email column is the e-mail address of each author. Create a table called author and insert the following values into it:

Table 4-5. Author Table Data Values

a_id

lastname

firstname

email

142

'Burgeous'

'Paulette'

'pburgeous@yahoo.com'

220

'Williams'

'Margary'

'mwilliams@goto.com'

231

'Alcott'

'Luoisa May'

'lalcott@bestbooks.com'

136

'Brown'

'Margaret W.'

'mwbrown@littletykes.com'

110

'Seuss'

''

'seuss@childprodigy.com'

After having created this table, it contains this:

Example 4-18. Author Table 

 
 a_id | lastname |  firstname  |          email
------+----------+-------------+-------------------------
  136 | Brown    | Margaret W. | mwbrown@littletykes.com
  220 | Williams | Margary     | mwilliams@goto.com
  142 | Burgeous | Paulette    | pburgeous@yahoo.com
  110 | Seuss    |             | seuss@childprodigy.com
  231 | Alcott   | Luoisa May  | lalcott@bestbooks.com
(5 rows)