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*************************** 2. row *************************** id: 2 select_type: DEPENDENT SUBQUERY table: os type: unique_subquery possible_keys: PRIMARY key: PRIMARY key_len: 2 ref: func rows: 1 Extra: Using index; Using where 2 rows in set (0.02 sec) During a unique_subquery access, MySQL is actually executing the subquery first, so that the values returned from the subquery can replace the subquery in the IN clause of the parent query. In this way, a subquery access is more like an optimization process than a true data retrieval. To be sure, data (or rather, key) values are being returned from the subquery; however, these values are immediately transformed into a set of constant values in the IN clause. You may have noticed that the example in Listing 7-28 can be rewritten in a more setbased manner by using a simple inner join. We ll discuss this point later in the chapter, in the Subqueries and Derived Tables section.

being overloaded with messages unless you carefully use filters to see only those messages you require.

his chapter explains the basic concepts behind .NET Remoting. We ll start by examining distributed systems in general and client-server systems in particular. You ll see how they have evolved over the past few years, and what peculiar issues remote object systems must contend with. After we cover the basics, we ll discuss .NET Remoting itself, including the various remote object types available and how they are managed. You ll see the entire remoting process and how .NET Remoting makes it all work.

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The index_subquery access type is identical to the unique_subquery access type, only in this case, MySQL has determined that the values returned by the subquery will not be unique. Listing 7-29 indicates this behavior. Listing 7-29. Example of the index_subquery Access Type mysql> EXPLAIN -> SELECT * FROM CustomerOrderItem coi -> WHERE coi.product_id IN ( -> SELECT product_id -> FROM Product2Category p2c -> WHERE p2c.category_id BETWEEN 1 AND 5 -> ) \G *************************** 1. row *************************** id: 1 select_type: PRIMARY table: coi type: ALL possible_keys: NULL key: NULL key_len: NULL ref: NULL rows: 10 Extra: Using where

You also need to define a series of destinations for the messages you wish to select, all of which will point to a named pipe. As part of these destinations, a template for how the message will be written to the named pipe will be specified. This template allows you to process the message into the form of a check result that the NSCA daemon will be able to read and the Nagios server will be able to process. You can see these definitions in Example 9-2. Example 9-2. syslog-NG Destinations destination d_facility_crit { pipe("/var/run/nagios.pipe" template("$HOST,$FACILITY,2,'$MSG'\n") template_escape(no)); }; destination d_program_crit { pipe("/var/run/nagios.pipe" template("$HOST,'$PROGRAM',2,'$MSG'\n") template_escape(no)); }; destination d_nagios_warn { pipe("/var/run/nagios.pipe" template("$HOST,syslog-warnings,1,'$MSG'\n") template_escape(no)); }; I ve defined three destinations. The first destination, d_facility_crit, writes to a named pipe called nagios.pipe in the /var/run/ directory. It writes messages to that pipe in the form of a template. This template converts the message into a form the NSCA daemon will accept as a submitted check result for a service. The NSCA daemon requires the following information: hostname, service, service status response code, and the actual output of the check. Normally for submission to the NSCA daemon each item should be separated by tab characters. But we re going to override this use of the tab character later when we configure the process of sending messages to the NSCA daemon and use commas to separate the items instead. This replacement makes handling the output easier.

*************************** 2. row *************************** id: 2 select_type: DEPENDENT SUBQUERY table: p2c type: index_subquery possible_keys: PRIMARY key: PRIMARY key_len: 4 ref: func rows: 1 Extra: Using index; Using where 2 rows in set (0.00 sec) This query returns all order details for any products that are assigned to categories 1 through 5. MySQL knows, because of the two-column primary key on product_id and category_id, that more than one category_id can be found in the subquery s WHERE expression (BETWEEN 1 AND 5). Again, this particular query is performed before the primary query s execution, and its results are dumped as constants into the IN clause of the primary query s WHERE condition. Not all subqueries will be reduced to a list of values before a primary query is executed. These subqueries, known as correlated subqueries, depend on the values in the primary table, and are thus executed for each value returned in the primary data set. We ll look at this difference in the Correlated Subqueries section later in this chapter.

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