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• World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2

  - by Brian

  Oracle produced a World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. The workload includes both online and batch workload. The SPARC T4-2 server delivered a result of 8,000 online users while concurrently executing a mix of JD Edwards EnterpriseOne Long and Short batch processes at 95.5 UBEs/min (Universal Batch Engines per minute). In order to obtain this record benchmark result, the JD Edwards EnterpriseOne, Oracle WebLogic and Oracle Database 11g Release 2 servers were executed each in separate Oracle Solaris Containers which enabled optimal system resources distribution and performance together with scalable and manageable virtualization. One SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized only 55% of the available CPU power. The Oracle DB server in a Shared Server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T4-2 server without sacrificing performance. This configuration with SPARC T4-2 server has achieved 33% more Users/core, 47% more UBEs/min and 78% more Users/rack unit than the IBM Power 770 server. The SPARC T4-2 server with 2 processors ran the JD Edwards "Day-in-the-Life" benchmark and supported 8,000 concurrent online users while concurrently executing mixed batch workloads at 95.5 UBEs per minute. The IBM Power 770 server with twice as many processors supported only 12,000 concurrent online users while concurrently executing mixed batch workloads at only 65 UBEs per minute. This benchmark demonstrates more than 2x cost savings by consolidating the complete solution in a single SPARC T4-2 server compared to earlier published results of 10,000 users and 67 UBEs per minute on two SPARC T4-2 and SPARC T4-1. The Oracle DB server used mirrored (RAID 1) volumes for the database providing high availability for the data without impacting performance. Performance Landscape JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark Consolidated Online with Batch Workload System Rack Units BatchRate(UBEs/m) Online Users Users /Units Users /Core Version SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 3 95.5 8,000 2,667 500 9.0.2 IBM Power 770 (4 x POWER7, 3.3 GHz, 32 cores) 8 65 12,000 1,500 375 9.0.2 Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute Configuration Summary Hardware Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 4 x 300 GB 10K RPM SAS internal disk 2 x 300 GB internal SSD 2 x Sun Storage F5100 Flash Arrays Software Configuration: Oracle Solaris 10 Oracle Solaris Containers JD Edwards EnterpriseOne 9.0.2 JD Edwards EnterpriseOne Tools (8.98.4.2) Oracle WebLogic Server 11g (10.3.4) Oracle HTTP Server 11g Oracle Database 11g Release 2 (11.2.0.1) Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently. Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers, two Oracle WebLogic Servers 11g Release 1 coupled with two Oracle Web Tier HTTP server instances and one Oracle Database 11g Release 2 database on a single SPARC T4-2 server were hosted in separate Oracle Solaris Containers bound to four processor sets to demonstrate consolidation of multiple applications, web servers and the database with best resource utilizations. Interrupt fencing was configured on all Oracle Solaris Containers to channel the interrupts to processors other than the processor sets used for the JD Edwards Application server, Oracle WebLogic servers and the database server. A Oracle WebLogic vertical cluster was configured on each WebServer Container with twelve managed instances each to load balance users' requests and to provide the infrastructure that enables scaling to high number of users with ease of deployment and high availability. The database log writer was run in the real time RT class and bound to a processor set. The database redo logs were configured on the raw disk partitions. The Oracle Solaris Container running the Enterprise Application server completed 61 Short UBEs, 4 Long UBEs concurrently as the mixed size batch workload. The mixed size UBEs ran concurrently from the Enterprise Application server with the 8,000 online users driven by the LoadRunner. See Also SPARC T4-2 Server oracle.com OTN JD Edwards EnterpriseOne oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Oracle Fusion Middleware oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 09/30/2012.

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• Operating systems theory -- using minimum number of semaphores

  - by stackuser

  This situation is prone to deadlock of processes in an operating system and I'd like to solve it with the minimum of semaphores. Basically there are three cooperating processes that all read data from the same input device. Each process, when it gets the input device, must read two consecutive data. I want to use mutual exclusion to do this. Semaphores should be used to synchronize: P1: P2: P3: input(a1,a2) input (b1,b2) input(c1,c2) Y=a1+c1 W=b2+c2 Z=a2+b1 Print (X) X=Z-Y+W The declaration and initialization that I think would work here are: semaphore s=1 sa1 = 0, sa2 = 0, sb1 = 0, sb2 = 0, sc1 = 0, sc2 = 0 I'm sure that any kernel programmers that happen on this can knock this out in a minute or 2. Diagram of cooperating Processes and one input device: It seems like P1 and P2 would start something like: wait(s) input (a1/b1, a2/b2) signal(s)

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• Selling Visual Studio ALM

  - by Tarun Arora

  Introduction As a consultant I have been selling Application Lifecycle Management services using Visual Studio and Team Foundation Server. I’ve been contacted various times by friends working in organization telling me that ALM processes in their company were benchmarked when dinosaurs walked the earth. Most of these individuals already know the great features Microsoft ALM tools offer and are keen to start a conversation with the CIO but don’t exactly know where to start. It is very important how you engage in your first conversation, if you start the conversation with ‘There is this great tooling from Microsoft which offers amazing features to boost developer productivity, … ‘ from experience I can tell you the reply from your CIO would be ‘I already know! Our existing landscape has a combination of bleeding edge open source and cutting edge licensed tools which already cover these features quite well, more over Microsoft products have a high licensing cost associated to them.’ You will always find it harder to sell by feature, the trick is to highlight the gap in the existing processes & tools and then highlight the impact of these gaps to the overall development processes, by now you would have captured enough attention to show off how the ALM tooling offered by Microsoft not only fills those gaps but offers great value adds to take their development practices to the next level. Rangers ALM Assessment Guide Image 1 – Welcome! First look at the Rangers ALM assessment guide Most organization already have some processes in place to cover aspects of ALM. How do you go about proving that there isn’t enough cover in place? This is where Visual Studio ALM Rangers ALM Assessment guide can help. The ALM assessment guide is really a tool that helps you gather information about Development practices and processes within a customer's environment. Several questionnaires are used to identify the current state of individual development lifecycle areas and decide on a desired state for those processes. It also presents guidance and roll-up summaries to help with recommendations moving forward. The ALM Rangers assessment guide can be downloaded from here. Image 2 – ALM Assessment guide divided into different functions of SDLC The assessment guide is divided into different functions of Software Development Lifecycle (listed below), this gives you the ability to access how mature the company is in different areas of SDLC. Architecture & Design Requirement Engineering & UX Development Software Configuration Management Governance Deployment & Operations Testing & Quality Assurance Project Planning & Management Each section has a set of questions, fill in the assessment by selecting “Never/Sometimes/Always” from the Answer column in the question sheets.  Each answer has weightage to the overall score. Each question has a link next to it, clicking the link takes you to the Reference sheet which gives you more details about the question along with a reason for “why you need to ask this question?”, “other ways to phrase the question” and “what to expect as an answer from the customer”. The trick is to engage the customer in a discussion. You need to probe a lot, listen to the customer and have a discussion with several team members, preferably without management to ensure that you receive candid feedback. This reminds me of a funny incident when during an ALM review a customer told me that they have a sophisticated semi-automated application deployment process, further discussions revealed that deployment actually involved 72 manual configuration steps per production node. Such observations can be recorded in the Issue Brainstorming worksheet for further consideration later. It is also worth mentioning the different levels of ALM maturity to the customer. By default the desired state of ALM maturity is set to Standard, it is possible to set a desired state by area, you should strive for Advanced or Dynamic, it always helps by explaining the classification and advantages. Image 3 – ALM levels by description The ALM assessment guide helps you arrive at a quantitative measure of the company’s ALM maturity. The resultant graph plotted on a spider’s web shows you the company’s current state of ALM maturity and the desired state of ALM maturity. Further since the results are classified by area you can immediately spot the areas where the customer needs immediate help. Image 4 – The spiders web! The red cross icons are areas shouting out for immediate attention, the yellow exclamation icons are areas that need improvement. These icons are calculated on the difference between the Current State of ALM maturity VS the Desired state of ALM maturity. Image 5 – Results by area Conclusion To conclude the Rangers ALM assessment guide gives you the ability to, Measure the customer’s current ALM maturity level Understand the ALM maturity level the customer desires to achieve Capture a healthy list of issues the customer wants to brainstorm further Now What’s next…? Download and get started with the Rangers ALM Assessment Guide. If you have successfully captured the above listed three pieces of information you are in a great state to make recommendations on the identified areas highlighting the benefits that Visual Studio ALM tools would offer. In the next post I will be covering how to take the ALM assessment results as the base to actually convert your recommendation into a sell.  Remember to subscribe to http://feeds.feedburner.com/TarunArora. I would love to hear your feedback! If you have any recommendations on things that I should consider or any questions or feedback, feel free to leave a comment. *** A special thanks goes out to fellow ranges Willy, Ethem and Philip for reviewing the blog post and providing valuable feedback. ***

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• OS Analytics with Oracle Enterprise Manager (by Eran Steiner)

  - by Zeynep Koch

  Oracle Enterprise Manager Ops Center provides a feature called "OS Analytics". This feature allows you to get a better understanding of how the Operating System is being utilized. You can research the historical usage as well as real time data. This post will show how you can benefit from OS Analytics and how it works behind the scenes. The recording of our call to discuss this blog is available here: https://oracleconferencing.webex.com/oracleconferencing/ldr.php?AT=pb&SP=MC&rID=71517797&rKey=4ec9d4a3508564b3Download the presentation here See also: Blog about Alert Monitoring and Problem Notification Blog about Using Operational Profiles to Install Packages and other content Here is quick summary of what you can do with OS Analytics in Ops Center: View historical charts and real time value of CPU, memory, network and disk utilization Find the top CPU and Memory processes in real time or at a certain historical day Determine proper monitoring thresholds based on historical data Drill down into a process details Where to start To start with OS Analytics, choose the OS asset in the tree and click the Analytics tab. You can see the CPU utilization, Memory utilization and Network utilization, along with the current real time top 5 processes in each category (click the image to see a larger version):  In the above screen, you can click each of the top 5 processes to see a more detailed view of that process. Here is an example of one of the processes: One of the cool things is that you can see the process tree for this process along with some port binding and open file descriptors. Next, click the "Processes" tab to see real time information of all the processes on the machine: An interesting column is the "Target" column. If you configured Ops Center to work with Enterprise Manager Cloud Control, then the two products will talk to each other and Ops Center will display the correlated target from Cloud Control in this table. If you are only using Ops Center - this column will remain empty. The "Threshold" tab is particularly helpful - you can view historical trends of different monitored values and based on the graph - determine what the monitoring values should be: You can ask Ops Center to suggest monitoring levels based on the historical values or you can set your own. The different colors in the graph represent the current set levels: Red for critical, Yellow for warning and Blue for Information, allowing you to quickly see how they're positioned against real data. It's important to note that when looking at longer periods, Ops Center smooths out the data and uses averages. So when looking at values such as CPU Usage, try shorter time frames which are more detailed, such as one hour or one day. Applying new monitoring values When first applying new values to monitored attributes - a popup will come up asking if it's OK to get you out of the current Monitoring Policy. This is OK if you want to either have custom monitoring for a specific machine, or if you want to use this current machine as a "Gold image" and extract a Monitoring Policy from it. You can later apply the new Monitoring Policy to other machines and also set it as a default Monitoring Profile. Once you're done with applying the different monitoring values, you can review and change them in the "Monitoring" tab. You can also click the "Extract a Monitoring Policy" in the actions pane on the right to save all the new values to a new Monitoring Policy, which can then be found under "Plan Management" -> "Monitoring Policies". Visiting the past Under the "History" tab you can "go back in time". This is very helpful when you know that a machine was busy a few hours ago (perhaps in the middle of the night?), but you were not around to take a look at it in real time. Here's a view into yesterday's data on one of the machines: You can see an interesting CPU spike happening at around 3:30 am along with some memory use. In the bottom table you can see the top 5 CPU and Memory consumers at the requested time. Very quickly you can see that this spike is related to the Solaris 11 IPS repository synchronization process using the "pkgrecv" command. The "time machine" doesn't stop here - you can also view historical data to determine which of the zones was the busiest at a given time: Under the hood The data collected is stored on each of the agents under /var/opt/sun/xvm/analytics/historical/ An "os.zip" file exists for the main OS. Inside you will find many small text files, named after the Epoch time stamp in which they were taken If you have any zones, there will be a file called "guests.zip" containing the same small files for all the zones, as well as a folder with the name of the zone along with "os.zip" in it If this is the Enterprise Controller or the Proxy Controller, you will have folders called "proxy" and "sat" in which you will find the "os.zip" for that controller The actual script collecting the data can be viewed for debugging purposes as well: On Linux, the location is: /opt/sun/xvmoc/private/os_analytics/collect If you would like to redirect all the standard error into a file for debugging, touch the following file and the output will go into it: # touch /tmp/.collect.stderr   The temporary data is collected under /var/opt/sun/xvm/analytics/.collectdb until it is zipped. If you would like to review the properties for the Analytics, you can view those per each agent in /opt/sun/n1gc/lib/XVM.properties. Find the section "Analytics configurable properties for OS and VSC" to view the Analytics specific values. I hope you find this helpful! Please post questions in the comments below. Eran Steiner

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• IText can't keep rows together, second row spans multiple pages but won't stick with first row.

  - by J2SE31

  I am having trouble keeping my first and second rows of my main PDFPTable together using IText. My first row consists of a PDFPTable with some basic search criteria. My second row consists of a PdfPTable that contains all of the tabulated results. Everytime the tabulated results becomes too big and spans multiple pages, it is kicked to the second page automatically rather than showing up directly below the search criteria and then paging to the next page. How can I avoid this problem? I have tried using setSplitRows(false), but I simply get a blank document (see commented lines 117 and 170). How can I keep my tabulated data (second row) up on the first page? An example of my code is shown below (you should be able to just copy/paste). public class TestHelper{ private TestEventHelper helper; public TestHelper(){ super(); helper = new TestEventHelper(); } public TestEventHelper getHelper() { return helper; } public void setHelper(TestEventHelper helper) { this.helper = helper; } public static void main(String[] args){ TestHelper test = new TestHelper(); TestEventHelper helper = test.getHelper(); FileOutputStream file = null; Document document = null; PdfWriter writer = null; try { file = new FileOutputStream(new File("C://Documents and Settings//All Users//Desktop//pdffile2.pdf")); document = new Document(PageSize.A4.rotate(), 36, 36, 36, 36); writer = PdfWriter.getInstance(document, file); // writer.setPageEvent(templateHelper); writer.setPdfVersion(PdfWriter.PDF_VERSION_1_7); writer.setUserunit(1f); document.open(); List<Element> pages = null; try { pages = helper.createTemplate(); } catch (Exception e) { e.printStackTrace(); } Iterator<Element> iterator = pages.iterator(); while (iterator.hasNext()) { Element element = iterator.next(); if (element instanceof Phrase) { document.newPage(); } else { document.add(element); } } } catch (Exception de) { de.printStackTrace(); // log.debug("Exception " + de + " " + de.getMessage()); } finally { if (document != null) { document.close(); } if (writer != null) { writer.close(); } } System.out.println("Done!"); } private class TestEventHelper extends PdfPageEventHelper{ // The PdfTemplate that contains the total number of pages. protected PdfTemplate total; protected BaseFont helv; private static final float SMALL_MARGIN = 20f; private static final float MARGIN = 36f; private final Font font = new Font(Font.HELVETICA, 12, Font.BOLD); private final Font font2 = new Font(Font.HELVETICA, 10, Font.BOLD); private final Font smallFont = new Font(Font.HELVETICA, 10, Font.NORMAL); private String[] datatableHeaderFields = new String[]{"Header1", "Header2", "Header3", "Header4", "Header5", "Header6", "Header7", "Header8", "Header9"}; public TestEventHelper(){ super(); } public List<Element> createTemplate() throws Exception { List<Element> elementList = new ArrayList<Element>(); float[] tableWidths = new float[]{1.0f, 1.0f, 1.0f, 1.0f, 1.0f, 1.25f, 1.25f, 1.25f, 1.25f}; // logger.debug("entering create reports template..."); PdfPTable splitTable = new PdfPTable(1); splitTable.setSplitRows(false); splitTable.setWidthPercentage(100f); PdfPTable pageTable = new PdfPTable(1); pageTable.setKeepTogether(true); pageTable.setWidthPercentage(100f); PdfPTable searchTable = generateSearchFields(); if(searchTable != null){ searchTable.setSpacingAfter(25f); } PdfPTable outlineTable = new PdfPTable(1); outlineTable.setKeepTogether(true); outlineTable.setWidthPercentage(100f); PdfPTable datatable = new PdfPTable(datatableHeaderFields.length); datatable.setKeepTogether(false); datatable.setWidths(tableWidths); generateDatatableHeader(datatable); for(int i = 0; i < 100; i++){ addCell(datatable, String.valueOf(i), 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, smallFont, true); addCell(datatable, String.valueOf(i+1), 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, smallFont, true); addCell(datatable, String.valueOf(i+2), 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, smallFont, true); addCell(datatable, String.valueOf(i+3), 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, smallFont, true); addCell(datatable, String.valueOf(i+4), 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, smallFont, true); addCell(datatable, String.valueOf(i+5), 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, smallFont, true); addCell(datatable, String.valueOf(i+6), 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, smallFont, true); addCell(datatable, String.valueOf(i+7), 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, smallFont, true); addCell(datatable, String.valueOf(i+8), 1, Rectangle.NO_BORDER, Element.ALIGN_RIGHT, smallFont, true); } PdfPCell dataCell = new PdfPCell(datatable); dataCell.setBorder(Rectangle.BOX); outlineTable.addCell(dataCell); PdfPCell searchCell = new PdfPCell(searchTable); searchCell.setVerticalAlignment(Element.ALIGN_TOP); PdfPCell outlineCell = new PdfPCell(outlineTable); outlineCell.setVerticalAlignment(Element.ALIGN_TOP); addCell(pageTable, searchCell, 1, Rectangle.NO_BORDER, Element.ALIGN_LEFT, null, null); addCell(pageTable, outlineCell, 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, null, null); PdfPCell pageCell = new PdfPCell(pageTable); pageCell.setVerticalAlignment(Element.ALIGN_TOP); addCell(splitTable, pageCell, 1, Rectangle.NO_BORDER, Element.ALIGN_CENTER, null, null); elementList.add(pageTable); // elementList.add(splitTable); return elementList; } public void onOpenDocument(PdfWriter writer, Document document) { total = writer.getDirectContent().createTemplate(100, 100); total.setBoundingBox(new Rectangle(-20, -20, 100, 100)); try { helv = BaseFont.createFont(BaseFont.HELVETICA, BaseFont.WINANSI, BaseFont.NOT_EMBEDDED); } catch (Exception e) { throw new ExceptionConverter(e); } } public void onEndPage(PdfWriter writer, Document document) { //TODO } public void onCloseDocument(PdfWriter writer, Document document) { total.beginText(); total.setFontAndSize(helv, 10); total.setTextMatrix(0, 0); total.showText(String.valueOf(writer.getPageNumber() - 1)); total.endText(); } private PdfPTable generateSearchFields(){ PdfPTable searchTable = new PdfPTable(2); for(int i = 0; i < 6; i++){ addCell(searchTable, "Search Key" +i, 1, Rectangle.NO_BORDER, Element.ALIGN_RIGHT, font2, MARGIN, true); addCell(searchTable, "Search Value +i", 1, Rectangle.NO_BORDER, Element.ALIGN_LEFT, smallFont, null, true); } return searchTable; } private void generateDatatableHeader(PdfPTable datatable) { if (datatableHeaderFields != null && datatableHeaderFields.length != 0) { for (int i = 0; i < datatableHeaderFields.length; i++) { addCell(datatable, datatableHeaderFields[i], 1, Rectangle.BOX, Element.ALIGN_CENTER, font2); } } } private PdfPCell addCell(PdfPTable table, String cellContent, int colspan, int cellBorder, int horizontalAlignment, Font font) { return addCell(table, cellContent, colspan, cellBorder, horizontalAlignment, font, null, null); } private PdfPCell addCell(PdfPTable table, String cellContent, int colspan, int cellBorder, int horizontalAlignment, Font font, Boolean noWrap) { return addCell(table, cellContent, colspan, cellBorder, horizontalAlignment, font, null, noWrap); } private PdfPCell addCell(PdfPTable table, String cellContent, Integer colspan, Integer cellBorder, Integer horizontalAlignment, Font font, Float paddingLeft, Boolean noWrap) { PdfPCell cell = new PdfPCell(new Phrase(cellContent, font)); return addCell(table, cell, colspan, cellBorder, horizontalAlignment, paddingLeft, noWrap); } private PdfPCell addCell(PdfPTable table, PdfPCell cell, int colspan, int cellBorder, int horizontalAlignment, Float paddingLeft, Boolean noWrap) { cell.setColspan(colspan); cell.setBorder(cellBorder); cell.setHorizontalAlignment(horizontalAlignment); if(paddingLeft != null){ cell.setPaddingLeft(paddingLeft); } if(noWrap != null){ cell.setNoWrap(noWrap); } table.addCell(cell); return cell; } } }

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• Operating systems -- using minimum number of semaphores

  - by stackuser

  The three cooperating processes all read data from the same input device. Each process, when it gets the input device, must read two consecutive data. I want to use mutual exclusion to do this. The declaration and initialization that I think would work here are: semaphore s=1 sa1 = 0, sa2 = 0, sb1 = 0, sb2 = 0, sc1 = 0, sc2 = 0 I'd like to use semaphores to synchronize the following processes: P1: P2: P3: input(a1,a2) input (b1,b2) input(c1,c2) Y=a1+c1 W=b2+c2 Z=a2+b1 Print (X) X=Z-Y+W I'm wondering how to use the minimum number of semaphores to solve this. Diagram of cooperating Processes and one input device: It seems like P1 and P2 would start something like: wait(s) input (a1/b1, a2/b2) signal(s)

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• AWR Performance Report and Read by Other Session Waits

  - by user702295

  For the questions regarding "read by other session" and its relation to "db file sequential/scattered read", the logic is like this: When a "db file sequential/scattered read" is done, the blocks are either already in the cache or on the disk.  Since any operation on blocks is done in the cache and since and the issue is "read by other session" I will relate to the case the blocks are on the disk. Process A is reading the needed block from the disk to the cache.  During that time, if process B (and C and others) need the same block, it will wait on "read by other session".  A and B can be threads of the same process running in parallel or unrelated processes.  For example two processes doing full table scan on mdp_matrix etc. Solutions for that can be lowering the number of processes competing on the same blocks, increasing PCTFREE.  If it is a full table scan, maybe an index is missing that can result in less blocks being read from the cache and so on.

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• Should we design programs to randomly kill themselves?

  - by jimbojw

  In a nutshell, should we design death into our programs, processes, and threads at a low level, for the good of the overall system? Failures happen. Processes die. We plan for disaster and occasionally recover from it. But we rarely design and implement unpredictable program death. We hope that our services' uptimes are as long as we care to keep them running. A macro-example of this concept is Netflix's Chaos Monkey, which randomly terminates AWS instances in some scenarios. They claim that this has helped them discover problems and build more redundant systems. What I'm talking about is lower level. The idea is for traditionally long-running processes to randomly exit. This should force redundancy into the design and ultimately produce more resilient systems. Does this concept already have a name? Is it already being used in the industry?

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• How To Manage Your Remote Desktop Connections Easily

  - by Gopinath

  If you regularly access PCs using Microsoft Remote Desktop Connection, here is an nice utility to make your life easier. Remote Desktop Organizer is a freeware application that allows you to easily organize your multiple remote desktop connection in one place. It has many useful features(we run them down after the break) but my favorites are the ability to organize & save connection details and the ease at which it allows to switch between multiple connections. The above screen grab of the applications shows how well we can save & organize multiple connection by creating folders hierarchy and also multiple Remote Connections in one window for easy switching. These two features are huge time savers to me as I often connect to multiple servers and switch between them. The complete list of features as given by the official website of the freeware Organize remote desktop connections in folders and subfolders Drag and drop support for moving connections and folders Tabbed connections Quick Connection Connect to console Change connection port Minimize to system tray (optional) Close to system tray (optional) To run this application you need Microsoft .NET Framework 2.0 or higher installed on your PC. Download Remote Desktop Organizer Join us on Facebook to read all our stories right inside your Facebook news feed.

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• DB2 LUW Security - The DB2 DBA as a Locksmith

  Database security should have multiple locks at multiple layers with multiple keys (and perhaps some barbed wire, an electric fence, a moat and a mean junkyard dog as well). With all these locks and keys, some locksmith skills are certainly useful. Rebecca Bond introduces some of her favorite DB2 Locksmith tips.

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• Storage Configuration

  - by jchang

  Storage performance is not inherently complicated subject. The concepts are relatively simple. In fact, scaling storage performance is far easier compared with the difficulties encounters in scaling processor performance in NUMA systems. Storage performance is achieved by properly distributing IO over: 1) multiple independent PCI-E ports (system memory and IO bandwith is key) 2) multiple RAID controllers or host bus adapters (HBAs) 3) multiple storage IO channels (SAS or FC, complete path) most importantly,...(read more)

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• Storage Configuration

  - by jchang

  Storage performance is not inherently complicated subject. The concepts are relatively simple. In fact, scaling storage performance is far easier compared with the difficulties encounters in scaling processor performance in NUMA systems. Storage performance is achieved by properly distributing IO over: 1) multiple independent PCI-E ports (system memory and IO bandwith is key) 2) multiple RAID controllers or host bus adapters (HBAs) 3) multiple storage IO channels (SAS or FC, complete path) most importantly,...(read more)

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• How to translate your forms application

  Translate your forms application to multiple languages with ease

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• Creating a Synchronous BPEL composite using File Adapter

  - by [email protected]

  By default, the JDeveloper wizard generates asynchronous WSDLs when you use technology adapters. Typically, a user follows these steps when creating an adapter scenario in 11g: 1) Create a SOA Application with either "Composite with BPEL" or an "Empty Composite". Furthermore, if  the user chooses "Empty Composite", then he or she is required to drop the "BPEL Process" from the "Service Components" pane onto the SOA Composite Editor. Either way, the user comes to the screen below where he/she fills in the process details. Please note that the user is required to choose "Define Service Later" as the template. 2) Creates the inbound service and outbound references and wires them with the BPEL component:     3) And, finally creates the BPEL process with the initiating <receive> activity to retrieve the payload and an <invoke> activity to write the payload.     This is how most BPEL processes that use Adapters are modeled. And, if we scrutinize the generated WSDL, we can clearly see that the generated WSDL is one way and that makes the BPEL process asynchronous (see below)   In other words, the inbound FileAdapter would poll for files in the directory and for every file that it finds there, it would translate the content into XML and publish to BPEL. But, since the BPEL process is asynchronous, the adapter would return immediately after the publish and perform the required post processing e.g. deletion/archival and so on.  The disadvantage with such asynchronous BPEL processes is that it becomes difficult to throttle the inbound adapter. In otherwords, the inbound adapter would keep sending messages to BPEL without waiting for the downstream business processes to complete. This might lead to several issues including higher memory usage, CPU usage and so on. In order to alleviate these problems, we will manually tweak the WSDL and BPEL artifacts into synchronous processes. Once we have synchronous BPEL processes, the inbound adapter would automatically throttle itself since the adapter would be forced to wait for the downstream process to complete with a <reply> before processing the next file or message and so on. Please see the tweaked WSDL below and please note that we have converted the one-way to a two-way WSDL and thereby making the WSDL synchronous: Add a <reply> activity to the inbound adapter partnerlink at the end of your BPEL process e.g.   Finally, your process will look like this:   You are done.   Please remember that such an excercise is NOT required for Mediator since the Mediator routing rules are sequential by default. In other words, the Mediator uses the caller thread (inbound file adapter thread) for processing the routing rules. This is the case even if the WSDL for mediator is one-way.

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• World Record Oracle E-Business Consolidated Workload on SPARC T4-2

  - by Brian

  Oracle set a World Record for the Oracle E-Business Suite Standard Medium multiple-online module benchmark using Oracle's SPARC T4-2 and SPARC T4-4 servers which ran the application and database. Oracle's SPARC T4 servers demonstrate performance leadership and world-record results on Oracle E-Business Suite Applications R12 OLTP benchmark by publishing the first result using multiple concurrent online application modules with Oracle Database 11g Release 2 running Solaris.   This results shows that a multi-tier configuration of SPARC T4 servers running the Oracle E-Business Suite R12.1.2 application and Oracle Database 11g Release 2 is capable of supporting 4,100 online users with outstanding response-times, executing a mix of complex transactions consolidating 4 Oracle E-Business modules (iProcurement, Order Management, Customer Service and HR Self-Service).   The SPARC T4-2 server in the application tier utilized about 65% and the SPARC T4-4 server in the database tier utilized about 30%, providing significant headroom for additional Oracle E-Business Suite R12.1.2 processing modules, more online users, and future growth.   Oracle E-Business Suite Applications were run in Oracle Solaris Containers on SPARC T4 servers and provides a consolidation platform for multiple E-Business instances.   Performance Landscape Multiple Online Modules (Self-Service, Order-Management, iProcurement, Customer-Service) Medium Configuration System Users AverageResponse Time 90th PercentileResponse Time SPARC T4-2 4,100 2.08 sec 2.52 sec Configuration Summary Application Tier Configuration: 1 x SPARC T4-2 server 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 3 x 300 GB internal disks Oracle Solaris 10 Oracle E-Business Suite 12.1.2 Database Tier Configuration: 1 x SPARC T4-4 server 4 x SPARC T4 processors, 3.0 GHz 256 GB memory 2 x 300 GB internal disks Oracle Solaris 10 Oracle Solaris Containers Oracle Database 11g Release 2 Storage Configuration: 1 x Sun Storage F5100 Flash Array (80 x 24 GB flash modules) Benchmark Description The Oracle R12 E-Business Suite Standard Benchmark combines online transaction execution by simulated users with multiple online concurrent modules to model a typical scenario for a global enterprise. The online component exercises the common UI flows which are most frequently used by a majority of our customers. This benchmark utilized four concurrent flows of OLTP transactions, for Order to Cash, iProcurement, Customer Service and HR Self-Service and measured the response times. The selected flows model simultaneous business activities inclusive of managing customers, services, products and employees. See Also Oracle R12 E-Business Suite Standard Benchmark Results Oracle R12 E-Business Suite Standard Benchmark Overview Oracle R12 E-Business Benchmark Description E-Business Suite Applications R2 (R12.1.2) Online Benchmark - Using Oracle Database 11g on Oracle's SPARC T4-2 and Oracle's SPARC T4-4 Servers oracle.com SPARC T4-2 Server oracle.com OTN SPARC T4-4 Server oracle.com OTN Oracle E-Business Suite oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Oracle E-Business Suite R12 medium multiple-online module benchmark, SPARC T4-2, SPARC T4, 2.85 GHz, 2 chips, 16 cores, 128 threads, 256 GB memory, SPARC T4-4, SPARC T4, 3.0 GHz, 4 chips, 32 cores, 256 threads, 256 GB memory, average response time 2.08 sec, 90th percentile response time 2.52 sec, Oracle Solaris 10, Oracle Solaris Containers, Oracle E-Business Suite 12.1.2, Oracle Database 11g Release 2, Results as of 9/30/2012.

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• Enterprise Integration: Can Companies Afford It?

  - by Ralph Wheaton

  Each year, my company holds a global sales conference where employees and partners from around the world some together to collaborate, share knowledge and ideas and learn about future plans.  As a member of the professional services division, several of us had been asked to make a presentation, an elevator pitch in 3 minutes or less that relates to a success we have worked on or directly relates to our tag (that is, our primary technology focus).  Mine happens to be Enterprise Integration as it relates Business Intelligence.  I found it rather difficult to present that pitch in a short amount of time and had to pare it down.  At any rate, in just a little over 3 minutes, this is the presentation I submitted.  Here is a link to the full presentation video in WMV format.   Many companies today subscribe to a buy versus build mentality in an attempt to drive down costs and improve time to implementation. Sometimes this makes sense, especially as it relates to specialized software or software that performs a small number of tasks extremely well. However, if not carefully considered or planned out, this oftentimes leads to multiple disparate systems with silos of data or multiple versions of the same data. For instance, client data (contact information, addresses, phone numbers, opportunities, sales) stored in your CRM system may not play well with Accounts Receivables. Employee data may be stored across multiple systems such as HR, Time Entry and Payroll. Other data (such as member data) may not originate internally, but be provided by multiple outside sources in multiple formats. And to top it all off, some data may have to be manually entered into multiple systems to keep it all synchronized. When left to grow out of control like this, overall performance is lacking, stability is questionable and maintenance is frequent and costly. Worse yet, in many cases, this topology, this hodgepodge of data creates a reporting nightmare. Decision makers are forced to try to put together pieces of the puzzle attempting to find the information they need, wading through multiple systems to find what they think is the single version of the truth. More often than not, they find they are missing pieces, pieces that may be crucial to growing the business rather than closing the business. across applications. Master data owners are defined to establish single sources of data (such as the CRM system owns client data). Other systems subscribe to the master data and changes are replicated to subscribers as they are made. This can be one way (no changes are allowed on the subscriber systems) or bi-directional. But at all times, the master data owner is current or up to date. And all data, whether internal or external, use the same processes and methods to move data from one place to another, leveraging the same validations, lookups and transformations enterprise wide, eliminating inconsistencies and siloed data. Once implemented, an enterprise integration solution improves performance and stability by reducing the number of moving parts and eliminating inconsistent data. Overall maintenance costs are mitigated by reducing touch points or the number of places that require modification when a business rule is changed or another data element is added. Most importantly, however, now decision makers can easily extract and piece together the information they need to grow their business, improve customer satisfaction and so on. So, in implementing an enterprise integration solution, companies can position themselves for the future, allowing for easy transition to data marts, data warehousing and, ultimately, business intelligence. Along this path, companies can achieve growth in size, intelligence and complexity. Truly, the question is not can companies afford to implement an enterprise integration solution, but can they afford not to.   Ralph Wheaton Microsoft Certified Technology Specialist Microsoft Certified Professional Developer Microsoft VTS-P BizTalk, .Net

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• Sales and Procurement Contracts 12.1.3++ Release Information

  - by LuciaC

  New functionality has been released for Sales and Procurement Contracts in a new patch: Contracts 12.1.3++: Patch 13877401: 12.1.3 Rollup for Oracle Contracts Core. The new functionality includes: APIs for Import of Contract Templates, Contract Expert rules, Questions and Constants: The three APIs are as follows: API for Templates, API for Rules, and API for Questions and Constants. These can be used to both create entities and update existing templates and rules. The APIs will display error and warning messages which can be processed and analyzed by the customer. Ability to Apply Multiple Templates to a Sourcing, Procurement or Sales Document: The buyer can select and add multiple templates to a quote,sales agreement document, sourcing or purchasing odcument.  All the clauses and deliverables from the new templates are synchronized with the document. The Contract Expert rules are from the original template. The buyer can also view the list of templates that are added to any sales or procurement document. Ability to Define Multi-Row Variables: You can create user defined manual variables that are tables containing one row per line or multiple rows. Contract Preview will print the variable values according to the layout defined for the variable. These variables are not available for Contract Expert Rules and Supplier. Enhancement to Suggested Sections for Clauses by Contract Expert: You can associate multiple default sections with a clause. A clause is associated with multiple values of any system variable and for each such value a section name is associated in Contracts Terms Library. When Contract Expert is run in the contract authoring flow, the clause is automatically placed in the associated section name. Plus many more new features. Read the following notes for details on all the new and changed functionality: Oracle Procurement Contracts Release Notes, Release 12.1.3++ (Doc ID 1467140.1) Oracle Sales Contracts Release Notes, Release 12.1.3++ (Doc ID 1467149.1) Oracle E-Business Suite Releases 12.1 and 12.2 Release Content Documents (Doc ID 1302189.1)

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• Generating FileUpload at runtime

  How to create multiple FileUploads at runtime and access their values using ASP.net

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• Parallel Computing in .Net 4.0

  - by kaleidoscope

  Technorati Tags: Ram,Parallel Computing in .Net 4.0 Parallel computing is the simultaneous use of multiple compute resources to solve a computational problem: To be run using multiple CPUs A problem is broken into discrete parts that can be solved concurrently Each part is further broken down to a series of instructions Instructions from each part execute simultaneously on different CPUs Parallel Extensions in .NET 4.0 provides a set of libraries and tools to achieve the above mentioned objectives. This supports two paradigms of parallel computing Data Parallelism – This refers to dividing the data across multiple processors for parallel execution.e.g we are processing an array of 1000 elements we can distribute the data between two processors say 500 each. This is supported by the Parallel LINQ (PLINQ) in .NET 4.0 Task Parallelism – This breaks down the program into multiple tasks which can be parallelized and are executed on different processors. This is supported by Task Parallel Library (TPL) in .NET 4.0 A high level view is shown below:

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• Complete RESTful API debugging/testing tool

  - by vartec

  I'm looking for the most complete tool, preferably portable GUI or browser plugin to test RESTful API. What I need is: GET/POST/DELETE/PUT support multiple file uploads as fields (multipart/form-data) file uploads as body Extra points for: possibility to save multiple configurations and use them to pre-fill parameters OAuth support nice JSON response formatting Currently I'm using 3 tools: Chrome REST Console extension — My favorite, very nicely done. Has OAuth. However the functionality missing for me is sending file as a body of the request; Cannot send multiple files; Firefox Poster add-on — Quite nice, but the functionality it's missing for file as POST fields parameters; Also cannot send multiple files; cURL — can do anything, but it's quite tedious to use it from command line.

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• ARTS Reference Model for Retail

  - by Sanjeev Sharma

  Consider a hypothetical scenario where you have been tasked to set up retail operations for a electronic goods or daily consumables or a luxury brand etc. It is very likely you will be faced with the following questions: What are the essential business capabilities that you must have in place?  What are the essential business activities under-pinning each of the business capabilities, identified in Step 1? What are the set of steps that you need to perform to execute each of the business activities, identified in Step 2? Answers to the above will drive your investments in software and hardware to enable the core retail operations. More importantly, the choices you make in responding to the above questions will several implications in the short-run and in the long-run. In the short-term, you will incur the time and cost of defining your technology requirements, procuring the software/hardware components and getting them up and running. In the long-term, as you grow in operations organically or through M&A, partnerships and franchiser business models  you will invariably need to make more technology investments to manage the greater complexity (scale and scope) of business operations.  "As new software applications, such as time & attendance, labor scheduling, and POS transactions, just to mention a few, are introduced into the store environment, it takes a disproportionate amount of time and effort to integrate them with existing store applications. These integration projects can add up to 50 percent to the time needed to implement a new software application and contribute significantly to the cost of the overall project, particularly if a systems integrator is called in. This has been the reality that all retailers have had to live with over the last two decades. The effect of the environment has not only been to increase costs, but also to limit retailers' ability to implement change and the speed with which they can do so." (excerpt taken from here) Now, one would think a lot of retailers would have already gone through the pain of finding answers to these questions, so why re-invent the wheel? Precisely so, a major effort began almost 17 years ago in the retail industry to make it less expensive and less difficult to deploy new technology in stores and at the retail enterprise level. This effort is called the Association for Retail Technology Standards (ARTS). Without standards such as those defined by ARTS, you would very likely end up experiencing the following: Increased Time and Cost due to resource wastage arising from re-inventing the wheel i.e. re-creating vanilla processes from scratch, and incurring, otherwise avoidable, mistakes and errors by ignoring experience of others Sub-optimal Process Efficiency due to narrow, isolated view of processes thereby ignoring process inter-dependencies i.e. optimizing parts but not the whole, and resulting in lack of transparency and inter-departmental finger-pointing Embracing ARTS standards as a blue-print for establishing or managing or streamlining your retail operations can benefit you in the following ways: Improved Time-to-Market from parity with industry best-practice processes e.g. ARTS, thus avoiding “reinventing the wheel” for common retail processes and focusing more on customizing processes for differentiations, and lowering integration complexity and risk with a standardized vocabulary for exchange between internal and external i.e. partner systems Lower Operating Costs by embracing the ARTS enterprise-wide process reference model for developing and streamlining retail operations holistically instead of a narrow, silo-ed view, and  procuring IT systems in compliance with ARTS thus avoiding IT budget marginalization While parity with industry standards such as ARTS business process model by itself does not create a differentiation, it does however provide a higher starting point for bridging the strategy-execution gap in setting up and improving retail operations.

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• Silverlight 4 Drag and Drop File Manager

  A Silverlight file manager that allows drag and drop multiple file uploads

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• iDb2Connection - How to cancel a long running query

  Describes how you can run multiple queries against an iSeries DB2 and cancel long running queries

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• Virtualization for Developers with VirtualBox

  Open source virtualization for multiple platforms VirtualBox - Open source - Virtual machine - Programming - Languages

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• How to fix basicHttpBinding in WCF when using multiple proxy clients?

  - by Hemant

  [Question seems a little long but please have patience. It has sample source to explain the problem.] Consider following code which is essentially a WCF host: [ServiceContract (Namespace = "http://www.mightycalc.com")] interface ICalculator { [OperationContract] int Add (int aNum1, int aNum2); } [ServiceBehavior (InstanceContextMode = InstanceContextMode.PerCall)] class Calculator: ICalculator { public int Add (int aNum1, int aNum2) { Thread.Sleep (2000); //Simulate a lengthy operation return aNum1 + aNum2; } } class Program { static void Main (string[] args) { try { using (var serviceHost = new ServiceHost (typeof (Calculator))) { var httpBinding = new BasicHttpBinding (BasicHttpSecurityMode.None); serviceHost.AddServiceEndpoint (typeof (ICalculator), httpBinding, "http://172.16.9.191:2221/calc"); serviceHost.Open (); Console.WriteLine ("Service is running. ENJOY!!!"); Console.WriteLine ("Type 'stop' and hit enter to stop the service."); Console.ReadLine (); if (serviceHost.State == CommunicationState.Opened) serviceHost.Close (); } } catch (Exception e) { Console.WriteLine (e); Console.ReadLine (); } } } Also the WCF client program is: class Program { static int COUNT = 0; static Timer timer = null; static void Main (string[] args) { var threads = new Thread[10]; for (int i = 0; i < threads.Length; i++) { threads[i] = new Thread (Calculate); threads[i].Start (null); } timer = new Timer (o => Console.WriteLine ("Count: {0}", COUNT), null, 1000, 1000); Console.ReadLine (); timer.Dispose (); } static void Calculate (object state) { var c = new CalculatorClient ("BasicHttpBinding_ICalculator"); c.Open (); while (true) { try { var sum = c.Add (2, 3); Interlocked.Increment (ref COUNT); } catch (Exception ex) { Console.WriteLine ("Error on thread {0}: {1}", Thread.CurrentThread.Name, ex.GetType ()); break; } } c.Close (); } } Basically, I am creating 10 proxy clients and then repeatedly calling Add service method on separate threads. Now if I run both applications and observe opened TCP connections using netstat, I find that: If both client and server are running on same machine, number of tcp connections are equal to number of proxy objects. It means all requests are being served in parallel. Which is good. If I run server on a separate machine, I observed that maximum 2 TCP connections are opened regardless of the number of proxy objects I create. Only 2 requests run in parallel. It hurts the processing speed badly. If I switch to net.tcp binding, everything works fine (a separate TCP connection for each proxy object even if they are running on different machines). I am very confused and unable to make the basicHttpBinding use more TCP connections. I know it is a long question, but please help!

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