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// the width & height for the simulation let width, height = 500, 600 // the bitmap that will hold the output data let bitmap = new Bitmap(width, height, PixelFormat.Format24bppRgb) // a form to display the bitmap let form = new Form(Width = width, Height = height, BackgroundImage = bitmap) // the function which recieves that points to be plotted // and marshals to the GUI thread to plot them let printPoints points = form.Invoke(new Action(fun () -> List.iter bitmap.SetPixel points form.Invalidate())) |> ignore // the mailbox that will be used to collect the data let mailbox = MailboxProcessor.Start(fun mb -> // main loop to read from the message queue // the parameter "points" holds the working data let rec loop points = async { // read a message let! msg = mb.Receive() // if we have over 100 messages write // message to the GUI if List.length points > 100 then printPoints points return! loop [] // otherwise append message and loop return! loop (msg :: points) } loop []) // start a worker thread running our fake simulation let startWorkerThread() = // function that loops infinitely generating random // "simulation" data let fakeSimulation() = let rand = new Random() let colors = [| Color.Red; Color.Green; Color.Blue |] while true do // post the random data to the mailbox // then sleep to simulate work being done

Press Finish, as shown in Figure 23-17, to create the benchmark data. When the process is finished, manually copy the generated data from the datal and above directories to the SWINGHOME/bin/data directories on their corresponding hosts. In this example, the datafiles from datal on loadl are copied to the SWINGHOME/bin/data directory on load2.

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If you enable automatic account provisioning, you will certainly want to nominate which node the accounts will be created within A more complicated example based on the nodes described earlier would be the following: [PROVISIONING] policy1 = 1:(ou=ManagementTeam) policy2 = 2:(ou=Development) policy3 = 3:(country=gb) policy4 = 5:(country=de,city=Munich) policy5 = 4:(country=de) policydefault = 1(objectclass=*) enable = TRUE A policy assigns a user to a node based on the values of one or more of the attributes in the Oracle Internet Directory that define him If a user matches several policies, the policy with the lower number takes precedence This set of policies states that any user whose ou, or organizational unit, is the management team will have his account created in node 1, which is the headquarters node Then staff in the development unit will go to node 2.

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mailboxPost(randNext(width), randNext(height), colors[randNext(colorsLength)]) ThreadSleep(randNext(100)) // start the thread as a background thread, so it won't stop // the program exiting let thread = new Thread(fakeSimulation, IsBackground = true) threadStart() // start 6 instances of our simulation for _ in 0 . 5 do startWorkerThread() // run the form ApplicationRun form This example has three key parts: how the simulation posts data to the mailbox, how the mailbox buffers points to be sent to the GUI, and how the GUI receives the points Let s examine each of these in turn Posting data to the mailbox remains simple; you continue to call the Post method on the mailbox Two important differences exist between this example and the previous one First, you pass a different data structure; however, the post method is generic, so you remain strongly typed.

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Starting the Test With the configuration files updated to the environment, the schema created, and the benchmark input data created and ready on all load-generation servers, start the coordinator process on the selected host v\rith the following command: [oracle@loadl bin]$ ./coordinator Coordinator started Successfully Then start Swingbench on all of the load generation servers, specifying the location of the coordinator process as a command-line option. Their controls will be disabled when running under a coordinator process. [oracle@loadi bin]$ ./swingbench -co //loadl/CoordinatorServer The successful attachment to the coordinator will also be reported at the coordinator command line: [oracle@loadi bin]$ ./coordinator Coordinator started started Successfully Added new client : id = 0 : connect string = londonl:l52l:RACl Current Connected clients = l Added new client : id = 0 : connect string = londonl:a52i:RACl Current connected clients = 2

Staff with the country attribute set to gb will be created in node 3, the UK node Staff with country de and city Munich will have their accounts created in node 5, while all other users with country de will go to node 4..

Start the clusteroverview process on the configured host: [oracleftoadl bin]$ ./clusteroverview The cluster overview, shown in Figure 23-18, can now be used to control the load generators. In the Cluster Overview screen, under the Databases tab, select the databases, and click the Start icon to commence monitoring of the databases. Under the Load Generators tab, highlight both load generators and click Start to commence the benchmark. mm\

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