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n this chapter, you ll learn how to set up an environment so that you can test the example code in this book. You ll also learn about some common utilities for benchmarking performance used throughout this book. The chapter covers the following topics: Setting up your SQL*Plus environment Setting up the SCOTT/TIGER demonstration schema Setting up the BENCHMARK/BENCHMARK schema, which we ll use throughout the book for executing some of our code examples Setting up sql_trace, timed_statistics, and tkprof, two parameters and a commandline tool that will tell you what SQL your application executed and how that SQL performed Setting up and using various performance tools, including the runstats utility and its Java counterpart, JRunstats Using the JBenchmark class to time Java programs in general Note that I provide only basic setup instructions here for the various performance tools, so that you may quickly configure your environment to run the examples in this book. For full instructions and information on how to interpret the data that these tools provide, refer to the Oracle documentation set or a relevant book, such as Thomas Kyte s Expert One-on-One Oracle (Apress, ISBN: 1-59059-243-3). The Java utility JRunstats invokes stored procedures from the Java program using the JDBC API you will learn about stored procedures in detail in the 6.

This makes the connection to the Yahoo! server to fetch historical data of about 10 years by using an object derived from the WebClient class, which is defined in the System.Net namespace. To use this, you use its OpenRead method, which is pointed at a URI. This returns a stream, which can be read by a StreamReader. The contents of this can be parsed into a string using a CsvParser abstract helper class. This helper class provides the parsing functionality that reads the CSV information and returns it as a DataTable. The Source Code/Download area of the Apress web site (www.apress.com) includes a version of this class that was derived from one published in the excellent blog from Andreas Knab at http://knab.ws/blog/. The call to the Yahoo! iFinance server provides the entire price history for the stock, which can be thousands of days worth of information. It provides an additional layer that allows you to crop this data to the specified number of days by iterating through the DataTable and removing rows beyond what you are interested in. So if you want to pull 10 days worth of data, you can modify the query to Yahoo! iFinance accordingly or simply remove all rows beyond number 10. That s about it. This web method is present in a web service called DataTier.

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Here, connection represents the Connection object, datum represents an object of type oracle.sql.Datum (an Oracle abstract class extended by oracle.sql.* objects such as oracle.sql.NUMBER), and sqlTypeCode represents the SQL typecode (from the standard java.sql.Types or oracle.sql.OracleTypes class) of the Datum object. The ORAData and ORADataFactory interfaces do the following: The toDatum() method of the ORAData class converts the data into an oracle.sql.* representation. The create() method of ORADataFactory creates and returns an ORAData instance. The JDBC driver uses this method to return an instance of the custom object class to your Java application. It takes as input an oracle.sql.Datum object and an integer indicating the corresponding SQL typecode as specified in the OracleTypes class. In the next section, we ll look at an example of using JPublisher to generate custom classes that implements the ORAData and ORADataFactory interfaces.

Using JPublisher, we will now generate custom classes for the address object type that implements the ORAData and ORADataFactory interfaces. The steps involved in creating and using a custom class called MyAddressORAData that implements the ORAData and ORADataFactory interfaces and represents the object type address are as follows: 1. Generate custom classes using JPublisher. In this step, we use JPublisher to generate a custom class that implements the ORAData and ORADataFactory interfaces. 2. Extend the generated classes to add functionality (if required). If you want to add to the functionality of the generated classes, extend the class and make any changes, since directly changing generated classes is error-prone. 3. Perform DMLs using the custom classes. Use the generated classes in your calling program to select, insert, update, or delete objects. Notice that unlike the SQLData case, we don t need to add a type map to the Connection object because of the way the generated classes work. The following sections explain these steps further.

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