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The next step in the query process is to extract data from more than one table using a single SELECT command This section demonstrates some advanced queries that can be used when handling data contained in multiple tables, such as in a relational database application
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In a relational database, data is split into several tables in an attempt to keep data duplication to a minimum In the store example described in 5, we created the Customer and Product tables to keep the detailed customer and product information separate The Order table then only needed to reference the CustomerID and ProductID fields to identify the customer and the product ordered, eliminating the need to duplicate all of the customer and product information for each order Now, if you are trying to query the information for an individual order, you may need to extract the customer s detailed information for delivery purposes This is where being able to query two tables at the same time comes in handy To query data from two tables, you must specify both tables in the FROM clause of the SELECT statement Also, since you are referencing columns from both tables, you must indicate which table each column comes from in your SELECT statement:
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C:\Program Files\PostgreSQL\81\bin>psql test barney Password for user barney: test=> select "Order""OrderID", "Customer""CustomerID", test-> "Customer""LastName", "Customer""FirstName", "Customer""Address" test-> from store"Order", store"Customer" test-> where "Order""OrderID" = 'ORD001' test-> and "Order""CustomerID" = "Customer""CustomerID"; OrderID | CustomerID | LastName | FirstName | Address + + + + ORD001 | BLU001 | Blum | Rich | 123 Main (1 row) test=>
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As you can see, it does not take long for a seemingly simple SQL command to get fairly complex The first part of the command defines the data columns you want to see in the output display Since you are using columns from two tables, you must precede each column name with the table it comes from As always, remember to use double quotes around names that use mixed-case letters Next, you must define which tables the columns come from in the FROM clause If they are not located in the public schema, you must also indicate the schema where they are located Finally, the WHERE clause must define a query to filter out the records you want to display In this example, there are two conditions to the WHERE clause The AND operator means that both conditions must be met for a record to be displayed
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The first condition states that you are looking for the record in the Order table where the OrderID column value is ORD001 The second condition states that you are looking for records in the Customer table that have the same CustomerID column value as the records retrieved from the Order table For each record where both of these conditions are matched, the information in the data columns is displayed Since only one record in the Order table has that OrderID value, only the information for that record is displayed
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Using Joins
In the previous example, you had to write a lot of SQL code to match the appropriate record from the Customer table to the Order record information In a relational database, this is a common thing to do To help programmers out, the SQL designers came up with an alternative way to perform this function A database join matches related records in relational database tables without you having to perform all of the associated checks The format of using the join in an SELECT command is
SELECT columnlist FROM table1 jointype JOIN table2 ON condition
The columnlist parameter lists the columns from the tables to display in the output The table1 and table2 parameters define the two tables to perform the join on The jointype parameter determines the type of join to perform There are three types of joins available in PostgreSQL: INNER JOIN Only display records found in both tables LEFT JOIN Display all records in table1 and the matching records in table2 RIGHT JOIN Display all records in table2 and the matching records in table1 The LEFT and RIGHT JOIN join types are also commonly referred to as outer joins The condition parameter defines the column relation to use for the join operation It is common practice to use the same column name for columns in separate tables that contain the same information (such as the CustomerID column in the Customer and Order tables) You can use the NATURAL keyword before the join type to inform PostgreSQL to join using the common column name Here is the same query as used before, but this time using a NATURAL INNER JOIN:
test=> select "Order""OrderID", "Customer""CustomerID", test-> "Customer""LastName", "Customer""FirstName", "Customer""Address" test-> from store"Order" natural inner join store"Customer"; OrderID | CustomerID | LastName | FirstName | Address + + + + ORD001 | BLU001 | Blum | Rich | 123 Main ORD002 | BLU002 | Blum | Barbara | 879 Oak (2 rows) test=>
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