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Now that you have defined the INPUT chain, let s do the OUTPUT chain as well. No specific services have to be allowed out, with the exception of the replies to incoming packets that were allowed, and so creating the OUTPUT chain is rather simple and consists of just two rules: iptables -A OUTPUT -m state RELATED,ESTABLISHED -j ACCEPT iptables -A OUTPUT -j LOG --log-prefix "Dropped illegal outgoing packet: " The use of these two rules should be clear from the explanation earlier in this section. Note that it is a good idea to turn on logging for the OUTPUT rule (unlike for the INPUT rule).

Second, you add a second inner join, as always with two operands: the table produced by the first join and the base table Customers. You reformat the first JOIN operator, splitting it across three lines simply to make it easier to distinguish the tables and joins. You can also use parentheses to enclose joins, and you can make them clearer when you use multiple joins. (Furthermore, since joins produce tables, their results can also be associated with correlation names for reference in later joins and even in the SELECT list, but such complexity is beyond the scope of this discussion.) from orders o inner join employees e on o.employeeid = e.employeeid inner join customers c on o.customerid = c.customerid The result of the first join, which matched orders to employees, is matched against the Customers table from which the appropriate customer name is retrieved for each matching row from the first join. Since referential integrity exists between Orders and both Employees and Customers, all Orders rows have matching rows in the other two tables. How the database actually satisfies such a query depends on a number of things, but joins are such an integral part of relational database operations that query optimizers are themselves optimized to find efficient access paths among multiple tables to perform multiple joins. However, the fewer joins needed, the more efficient the query, so plan your queries carefully. Usually you have several ways to code a query to get the same data, but almost always only one of them is the most efficient. Now you know how to retrieve data from two or more tables when the rows match. What about rows that don t match That s where outer joins come in.

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server parameter specifies the SQL Server instance to which you want to connect: server = .\sqlexpress;

Now that you have created the partitioning scheme for your server s hard drive, it s time to finalize the installation of your server. In this part of the installation, you enter some generic properties (like your server s time zone and some user information), and you specify what software packages to install. 1. Based on the country information you entered before, you now have to enter the time zone of your server. If your time zone isn t listed here, you probably specified the wrong country. You can t change that here, so forget about it for the moment and change it later. 2. After setting up the time zone, the installer asks how your computer s clock is configured (see Figure 1-24). Servers commonly use Coordinated Universal Time (UTC), which is a generic time format that is the same worldwide, with the local time being calculated as an offset from UTC. However, many PC-based systems use plain local time instead of UTC. Select the appropriate setting here and then press Enter.

Outer joins return all rows from (at least) one of the joined tables even if rows in one table don t match rows in the other. Three types of outer joins exist: left outer join, right outer join, and full outer join. The terms left and right refer to the operands on the left and right of the JOIN operator. (Refer to the basic syntax for the inner join, and you ll see why we called the operands left-table and right-table.) In a left outer join, all rows from the left table will be retrieved whether they have matching rows in the right table. Conversely, in a right outer join, all rows from the right table will be retrieved whether they have matching rows in the left table. In a full outer join, all rows from both tables are returned.

The next clause indicates that you should use Windows Authentication (that is, any valid logged on Windows user can log onto SSE):

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