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contents of the redo log of the failed instance. The recovered block is written back to disk, immediately after which the recovery resources are released, so that the block becomes available again. When all blocks have been recovered, the system is fully available again. A block may be modified by the failed instance but not exist as a past image or a current block in any of the remaining instances. In this case, Oracle uses the redo logfilesof the failed instance to reconstruct the changes made to the block since the block was last written to disk. The buffer cache is flushed to disk by the database writer process when free buffers are required for new blocks. It is also flushed to disk whenever there is a database checkpoint, which occurs whenever there is a log file switch. Therefore, you only need to recover redo generated since the last logfileswitch. Consequently, the amount of redo and the amount of time required to apply the redo will be proportional to the size of the redo log file. You can reduce the amount of time required for recovery by adjusting the mean time to recovery using the FASTSTARTMTTRTARGET parameter, which allows you to specify the maximum amount of time, in seconds, in which you wish the database to perform crash recovery. The FAST_START_MTTR_ T R E adjusts the frequency of checkpoints to limit potential recovery time. This parameter was A GT introduced in Oracle 9.0.1 and replaces the FASTSTARTIOTARGET parameter, which specifies the target number of database blocks to be written in the event of a recovery, and the L G C E K ON _ O _HC P I T I T R A parameter, which specifies the frequency of checkpoints in terms of 512-byte redo log blocks. NE V L

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<!-- OPTIONAL: Animation (required only if enabling animation) --> <script type="text/javascript" src="http://yui.yahooapis.com/2.2.2/build/ animation/animation-min.js"></script> <!-- OPTIONAL: External JSON parser from http://www.json.org/ (enables JSON validation) --> <script type="text/javascript" src="http://www.json.org/json.js"> </script> <!-- Source file --> <script type="text/javascript" src="http://yui.yahooapis.com/2.2.2/build/ autocomplete/autocomplete-min.js"> </script> The simplest way to include these JavaScript files is to add the code in Listing 8-13 into the HTML Header section of the page on which you want to use the AutoComplete control. For this example, we will implement the AutoComplete functionality with the existing search text field on page 1, so that users will be able to select from previously saved searches. The words that the AutoComplete control will suggest will be the search phrases already logged in the user_searches table. First, create an On Demand process, called GetUserSearches, that we can call via Ajax, as shown in Listing 8-14. It will return some XML containing the data stored in the user_searches table. Listing 8-14. GetUserSearches On Demand Process begin owa_util.mime_header('text/xml', FALSE ); htp.p('Cache-Control: no-cache'); htp.p('Pragma: no-cache'); owa_util.http_header_close; htp.prn('<RECORDS>'); for vRec in (select search_phrase from user_searches) loop htp.prn('<RECORD value="' || vRec.search_phrase || '">' || vRec.search_phrase || '</RECORD>'); end loop; htp.prn('</RECORDS>'); end; Listing 8-14 sets the MIME header content-type of the output to text/xml by using the owa_util.mime_header procedure. It then uses a couple of HTTP response headers

This chapter described some of the internal algorithms that are used within a RAC database. While understanding the exact implementation of each algorithm is not essential, having an appreciation of them when designing new systems is highly beneficial. As you have seen, much of the performance of an Oracle RAC database depends on the application. Therefore, testing and benchmarking your application prior to going into production are vital to determine its effect on GCS and GES. By aiming to minimize the amount of interconnect traffic your application generates, you will maximize both performance and scalability.

I n 5 you reviewed the concepts of load testing and the interpretation of officially conducted benchmarks. In subsequent chapters you considered the stages required in installing and configuring all of the components for an optimal RAC on Linux configuration. In this chapter you will apply some of the previously learned concepts to test and verify your RAC installations. There is a wide variety of commercial tools that can be used for testing Oracle environments. In this chapter we will focus on two tools that are in keeping with the Linux and open source philosophies, in that they are available without license cost and they run natively on the Linux platform.

Hammerora is an open source Oracle load-testing tool It has been developed with Linux as the primary operating system environment since its inception and focuses on the Oracle database, as opposed to delivering general functionality across a wide number of database platforms Hammerora is designed around converting Oracle database trace files into a format that can be replayed against the database with multiple users enabling the construction of complex load-testing scenarios Hammerora includes an implementation of the TPC-C benchmark specification for both schema creation and testing This illustrates the type of application simulations that can be achieved The concepts of the TPC-C benchmark are covered in 5 An important requirement for any tool to create bespoke load tests is a powerful and easy-to-use language that enables the creation of custom programs.

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