PostgreSQL 8 for Windows in Visual Studio .NET

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That is a lot less typing to do! The result shows all of the records in the Order table that have matching CustomerID records in the Customer table To display all of the records in the Customer table with their matching records in the Order table, use a RIGHT JOIN:
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test=> select "Order""OrderID", "Customer""CustomerID", test-> "Customer""LastName","Customer""FirstName", "Customer""Address" test-> from store"Order" natural right join store"Customer" OrderID | CustomerID | LastName | FirstName | Address + + + + | BLU004 | Blum | Jessica | 925 Dogwood ORD001 | BLU001 | Blum | Rich | 123 Main ORD002 | BLU002 | Blum | Barbara | 879 Oak | BLU003 | Blum | Katie | 342 Pine (4 rows) test=>
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Notice in the result set that two records in the Customer table do not have any records in the Order table, but are still displayed as the result of the RIGHT JOIN
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Using Aliases
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Use table aliases to help keep down the clutter in your SELECT commands A table alias defines a name that represents the full table name within the SELECT command The basic format for using aliases is
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SELECT columnlist FROM table AS alias
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When the table name is defined as an alias, you can use the alias anywhere within the SELECT command to reference the full table name This is especially handy when you have to use schema names and double quotes for all of your table names Here is a typical example:
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test=> select a"OrderID", b"CustomerID", b"LastName", b"FirstName", test-> b"Address" from store"Order" as a, store"Customer" as b test-> where a"OrderID" = 'ORD001' and a"CustomerID" = b"CustomerID"; OrderID | CustomerID | LastName | FirstName | Address + + + + ORD001 | BLU001 | Blum | Rich | 123 Main (1 row) test=>
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The alias a is used to represent the store"Order" table, and the alias b is used to represent the store"Customer" table Notice that you can use the aliases anywhere in the SELECT statement, even before they are defined
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6:
Using Basic SQL
SUMMARY
SQL is at the heart of the PostgreSQL system All interaction with PostgreSQL, whether you are using a fancy GUI or a simplistic command-line interface, is via SQL commands This chapter introduced the basic SQL commands necessary to create database objects, insert and modify data, and query data The CREATE SQL family of commands allows you to create new database objects The CREATE DATABASE command is used to start a new database area separate from the default area set up for system tables The CREATE SCHEMA command allows you to provide a separate working area for each application within a single database And, of course, the CREATE TABLE command is used for creating tables to hold the application data The CREATE TABLE command is by far the most complex, as you are required to define all of the data elements and constraints contained within the application After creating the database environment, you must use the CREATE ROLE command to create Group and Login Roles These roles are used for allowing users access to database objects The GRANT and REVOKE commands are used to assign the appropriate privileges to the Group Roles The next step in the process is managing data within the tables The INSERT command is used to insert new data records into a table Table columns can be set to provide default values when a data element is not provided The UPDATE command is used to modify data contained in existing tables The WHERE clause of the UPDATE command is crucial in restricting the update to specific records within the table Likewise, the DELETE command is almost always modified with the WHERE clause when used for removing data elements from the table Possibly the most important SQL command available is the SELECT command This command allows you to create complex queries on the data stored within database tables The SELECT command has lots of features, which require lots of command-line parameters used to fine-tune the query The next chapter continues coverage of the SELECT command Advanced uses for SELECT are covered, as well as tips on how to maximize data retrieval using SELECT commands The chapter also covers how to create views, combining data elements from multiple tables into a single object that can be used in queries, and triggers, which allow you to perform table functions based on database events The chapter closes out on how to define SQL command transactions, grouping multiple SQL commands into a single transaction that is either accepted or denied by PostgreSQL
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