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DayTrader is benchmark application built around the paradigm of an online stock trading system.
In addition to the full workload, the application also contains a set of primitives used for functional and performance testing of various Java EE components and common design patterns. The presentation layer consists of several Java Servlets and JSPs that loosely adhere to a Model-View-Controller (MVC) design pattern. Operation Details Asynchrounous Order Processing When a buy or sell operation is performed, an order request is placed on the TradeBroker JMS queue using a client connection.
As previously mentioned, all of the primary business operations provided by DayTrader are defined in the TradeServices interface.
Daytrader is available in the Apache's subversion repository, run the following command to checkout the source files into the daytrader-2.0 directory. This process may take several minutes depending on the machine and network connectivity speed. By default Daytrader requires a database to be created using the embedded Derby database that is shipped with Geronimo.
Independently on whether you use the command line scripts or the web based option, you will need the tables created before getting to the #Populating sample data section. The puspose of this section is to show you how to use the provided scripts to create the required DaytraderDatabase so, if needed, you can adapt them to your specific configuration environment. The provided database creation script requires setting the GERONIMO_HOME environment variable.
You can verify the database was created by pointing your browser to the Geronimo Administration Console and clicking on DB Manager.The last step in this configuration is to update the deployment plan.
So far we have retrieved the source file, built, configured, created a database and updated the deployment plan. There are basically two ways to deploy an application in Geronimo, either using the Geronimo Administration Console or the command line based deployer tool.
The first deploy is the script that calls the deployer tool, then we pass the user name and password. With the application deployed and started (starts by default when you deploy it) the next step before using Daytrader is to populate sample data to the database we created before.
Click on the Configuration tab.Click on (Re)-populate DayTrader Database to generate the sample data, this will open a new window showing the progress. Daytrader can be run in number of configurations and also provides a suite of web primitives to ease testing.
Primitive Description PingHtml PingHtml is the most basic operation providing access to a simple "Hello World" page of static HTML.
EntityCollection This test extends the previous EJB Entity test by calling a Session EJB which uses a finder method on the Entity that returns a collection of Entity objects.
JDBCCollection This test extends the previous JDBC test by calling a Session EJB to JDBC path which returns multiple rows from the database. So now you know what set of primitives are available and which of those can be set to run multiple times.

JPA Run Time Mode determines server implementation of the TradeServices to use in the DayTrader application Enterprise Java Beans including Session, Entity and Message beans or Direct mode which uses direct database and JMS access. Asynchronous_2-Phase Order Processing Mode determines the mode for completing stock purchase and sell operations. WebServices Access Mode determines the protocol used by the DayTrader Web application to access server side services. JSP-Images This setting determines the Web interface technology used, JSPs or JSPs with static images and GIFs. So far we saw what primitives are available, which of those can be set to run multiple iterations and how to configure the application runtime parameters. After you performed some tests and want to run a new set from scratch you will need to reset the runtime configuration and transaction data from the database.
These simple steps are all you need to start a new set of tests on Daytrader however, you may still want to restart the server depending on the type of tests you are running. In order for the quote price updates to get published to the JMS topic, the "Publish Quote Updates" flag on the configuration page must be enabled. Originally developed by IBM as the Trade Performance Benchmark Sample, DayTrader was donated to the Apache Geronimo community in 2005.
The following diagram provides a high-level overview of the full workload application architecture. TradeAppServlet is the primary controller servlet responsible for recieving incoming client requests, triggering the desired business logic, and forwarding responses to the appropriate JSP page.
The TradeBrokerMDB consumes messages on this queue and completes the buy or sell operation.
These high level user operations trigger specific business operations (defined above) within the business logic and persistence layers to perform the desired task. The binaries will be generated in the corresponding target directory for each of the modules in the modules directory.
Typically, the provided deployment plan files are configured to create such database (DaytraderDatabase) on Apache Derby during deployment. These values can be updated via the "Configure DayTrader run-time parameters" link on the "Configuration" tab.
Each of these primitives singularly test key operations in the enterprise Java programming model. The following table describes what parameters are available from the Daytrader Configuration Utilities to set the runtime parameters. When doing performance analysis, being able to "play" with these parameters is very valuable. The very same settings you configured for running those primitives also affect the GUI for trading simulation.
The Streamer application client uses a JMS topic to subscribe to quote price updates as stocks are bought and sold. This application allows users to login, view their portfolio, lookup stock quotes, and buy or sell stock shares.

Additional servlets and JSPs are used to configure the DayTrader runtime options and manage the supporting database. DayTrader provides three different implementations of these services, corresponding to three commonly used JavaEE application design patterns. In your own application you could call this plan geronimo-application.xml and place it in the META-INF directory within you EAR file and you will not need to expressly specify the deployment plan from the command line. Some of these can be configured to run repeateadly based on the configuration settings that we will cover later on. The Local version uses the EJB Local interface while the Remote version uses the Remote EJB interface. The MDB receives the message asynchronously and prints message delivery statistics on each 100th message. The Web Services mode uses the Axis implementation of Web Services including SOAP, WSDL and UDDI. These updates are tracked and used to determine if database collisions occur while updating the quote prices in the database. With the aid of a Web-based load driver such as Mercury LoadRunner, Rational Performance Tester, or Apache JMeter, the real-world workload provided by DayTrader can be used to measure and compare the performance of Java Platform, Enterprise Edition (Java EE) application servers offered by a variety of vendors. Note that at this point this step optional, you can still create the required database after deploying Daytrader and using the (Re)-create DayTrader Database Tables and Indexes link from the application's Configuration Utility page. PingServlet PingServlet tests fundamental dynamic HTML creation through server side servlet processing. When used combined with a load simulation tool, the different configurations will assist you with the fine tuning of the server based on the specific needs of your environment.
The web services application client simply provides a thick client for accessing DayTrader services using a web services interface. Users can switch between these implementations on the configuration page by changed the Runtime Mode. Servlet 1, the controller, creates a new JavaBean object forwards the request with the JavaBean added to Servlet 2. Servlet 2 obtains access to the JavaBean through the Servlet request object and provides dynamic HTML output based on the JavaBean data.
PingHTTPSession3 PingHTTPSession3 large session object tests the servers ability to manage and persist large HTTPSession data objects.
PingJDBCRead PingJDBCRead tests fundamental servlet to JDBC access to a database performing a single-row read using a prepared SQL statement. PingJDBCWrite PingJDBCRead tests fundamental servlet to JDBC access to a database performing a single-row write using a prepared SQL statement.

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