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Interactive SQL Tutorial |
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6. Performing a join.
Joins.
In this section, we will only discuss inner joins, and equijoins, as
in general, they are the most useful. For more information, try the
SQL links at the bottom of the page.
Good database design suggests that each table lists data only about a
single entity, and detailed information can be obtained in a
relational database, by using additional tables, and by using a join.
First, take a look at these example tables:
AntiqueOwners
| OwnerID |
OwnerLastName |
OwnerFirstName |
| 01 |
Jones |
Bill |
| 02 |
Smith |
Bob |
| 15 |
Lawson |
Patricia |
| 21 |
Akins |
Jane |
| 50 |
Fowler |
Sam |
Orders
| OwnerID |
ItemDesired |
| 02 |
Table |
| 02 |
Desk |
| 21 |
Chair |
| 15 |
Mirror |
Antiques
| SellerID |
BuyerID |
Item |
| 01 |
50 |
Bed |
| 02 |
15 |
Table |
| 15 |
02 |
Chair |
| 21 |
50 |
Mirror |
| 50 |
01 |
Desk |
| 01 |
21 |
Cabinet |
| 02 |
21 |
Coffee Table |
| 15 |
50 |
Chair |
| 01 |
15 |
Jewelry Box |
| 02 |
21 |
Pottery |
| 21 |
02 |
Bookcase |
| 50 |
01 |
Plant Stand |
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Keys.
First, let's discuss the concept of keys. A primary key is a column
or set of columns that uniquely identifies the rest of the data in
any given row. For example, in the AntiqueOwners table, the OwnerID
column uniquely identifies that row. This means two things: no two
rows can have the same OwnerID, and, even if two owners have the same
first and last names, the OwnerID column ensures that the two owners
will not be confused with each other, because the unique OwnerID
column will be used throughout the database to track the owners,
rather than the names.
A foreign key is a column in a table where that column is a primary
key of another table, which means that any data in a foreign key
column must have corresponding data in the other table where that
column is the primary key. In DBMS-speak, this correspondence is
known as referential integrity. For example, in the Antiques table,
both the BuyerID and SellerID are foreign keys to the primary key of
the AntiqueOwners table (OwnerID; for purposes of argument, one has
to be an Antique Owner before one can buy or sell any items), as, in
both tables, the ID rows are used to identify the owners or buyers
and sellers, and that the OwnerID is the primary key of the
AntiqueOwners table. In other words, all of this "ID" data
is used to refer to the owners, buyers, or sellers of antiques,
themselves, without having to use the actual names.
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Performing a Join.
The purpose of these keys is so that data can be related across
tables, without having to repeat data in every table--this is the
power of relational databases. For example, you can find the names of
those who bought a chair without having to list the full name of the
buyer in the Antiques table...you can get the name by relating those
who bought a chair with the names in the AntiqueOwners table through
the use of the OwnerID, which relates the data in the two tables. To
find the names of those who bought a chair, use the following query:
SELECT OWNERLASTNAME, OWNERFIRSTNAME
FROM ANTIQUEOWNERS, ANTIQUES
WHERE BUYERID = OWNERID AND ITEM = 'Chair'
Note the following about this query...notice that both tables
involved in the relation are listed in the FROM clause of the
statement. In the WHERE clause, first notice that the ITEM = 'Chair'
part restricts the listing to those who have bought (and in this
example, thereby owns) a chair. Secondly, notice how the ID columns
are related from one table to the next by use of the BUYERID =
OWNERID clause. Only where ID's match across tables and the item
purchased is a chair (because of the AND), will the names from the
AntiqueOwners table be listed. Because the joining condition used an
equal sign, this join is called an equijoin. The result of this query
is two names: Smith, Bob & Fowler, Sam.
Dot notation refers to prefixing the table names to column names, to
avoid ambiguity, as such:
SELECT ANTIQUEOWNERS.OWNERLASTNAME, ANTIQUEOWNERS.OWNERFIRSTNAME
FROM ANTIQUEOWNERS, ANTIQUES
WHERE ANTIQUES.BUYERID =
ANTIQUEOWNERS.OWNERID AND ANTIQUES.ITEM = 'Chair'
As the column names are different in each table, however, this wasn't necessary.
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