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• The Benefits of Smart Grid Business Software

  - by Sylvie MacKenzie, PMP

  Smart Grid Background What Are Smart Grids?Smart Grids use computer hardware and software, sensors, controls, and telecommunications equipment and services to: Link customers to information that helps them manage consumption and use electricity wisely. Enable customers to respond to utility notices in ways that help minimize the duration of overloads, bottlenecks, and outages. Provide utilities with information that helps them improve performance and control costs. What Is Driving Smart Grid Development? Environmental ImpactSmart Grid development is picking up speed because of the widespread interest in reducing the negative impact that energy use has on the environment. Smart Grids use technology to drive efficiencies in transmission, distribution, and consumption. As a result, utilities can serve customers’ power needs with fewer generating plants, fewer transmission and distribution assets,and lower overall generation. With the possible exception of wind farm sprawl, landscape preservation is one obvious benefit. And because most generation today results in greenhouse gas emissions, Smart Grids reduce air pollution and the potential for global climate change.Smart Grids also more easily accommodate the technical difficulties of integrating intermittent renewable resources like wind and solar into the grid, providing further greenhouse gas reductions. CostsThe ability to defer the cost of plant and grid expansion is a major benefit to both utilities and customers. Utilities do not need to use as many internal resources for traditional infrastructure project planning and management. Large T&D infrastructure expansion costs are not passed on to customers.Smart Grids will not eliminate capital expansion, of course. Transmission corridors to connect renewable generation with customers will require major near-term expenditures. Additionally, in the future, electricity to satisfy the needs of population growth and additional applications will exceed the capacity reductions available through the Smart Grid. At that point, expansion will resume—but with greater overall T&D efficiency based on demand response, load control, and many other Smart Grid technologies and business processes. Energy efficiency is a second area of Smart Grid cost saving of particular relevance to customers. The timely and detailed information Smart Grids provide encourages customers to limit waste, adopt energy-efficient building codes and standards, and invest in energy efficient appliances. Efficiency may or may not lower customer bills because customer efficiency savings may be offset by higher costs in generation fuels or carbon taxes. It is clear, however, that bills will be lower with efficiency than without it. Utility Operations Smart Grids can serve as the central focus of utility initiatives to improve business processes. Many utilities have long “wish lists” of projects and applications they would like to fund in order to improve customer service or ease staff’s burden of repetitious work, but they have difficulty cost-justifying the changes, especially in the short term. Adding Smart Grid benefits to the cost/benefit analysis frequently tips the scales in favor of the change and can also significantly reduce payback periods.Mobile workforce applications and asset management applications work together to deploy assets and then to maintain, repair, and replace them. Many additional benefits result—for instance, increased productivity and fuel savings from better routing. Similarly, customer portals that provide customers with near-real-time information can also encourage online payments, thus lowering billing costs. Utilities can and should include these cost and service improvements in the list of Smart Grid benefits. What Is Smart Grid Business Software? Smart Grid business software gathers data from a Smart Grid and uses it improve a utility’s business processes. Smart Grid business software also helps utilities provide relevant information to customers who can then use it to reduce their own consumption and improve their environmental profiles. Smart Grid Business Software Minimizes the Impact of Peak Demand Utilities must size their assets to accommodate their highest peak demand. The higher the peak rises above base demand: The more assets a utility must build that are used only for brief periods—an inefficient use of capital. The higher the utility’s risk profile rises given the uncertainties surrounding the time needed for permitting, building, and recouping costs. The higher the costs for utilities to purchase supply, because generators can charge more for contracts and spot supply during high-demand periods. Smart Grids enable a variety of programs that reduce peak demand, including: Time-of-use pricing and critical peak pricing—programs that charge customers more when they consume electricity during peak periods. Pilot projects indicate that these programs are successful in flattening peaks, thus ensuring better use of existing T&D and generation assets. Direct load control, which lets utilities reduce or eliminate electricity flow to customer equipment (such as air conditioners). Contracts govern the terms and conditions of these turn-offs. Indirect load control, which signals customers to reduce the use of on-premises equipment for contractually agreed-on time periods. Smart Grid business software enables utilities to impose penalties on customers who do not comply with their contracts. Smart Grids also help utilities manage peaks with existing assets by enabling: Real-time asset monitoring and control. In this application, advanced sensors safely enable dynamic capacity load limits, ensuring that all grid assets can be used to their maximum capacity during peak demand periods. Real-time asset monitoring and control applications also detect the location of excessive losses and pinpoint need for mitigation and asset replacements. As a result, utilities reduce outage risk and guard against excess capacity or “over-build”. Better peak demand analysis. As a result: Distribution planners can better size equipment (e.g. transformers) to avoid over-building. Operations engineers can identify and resolve bottlenecks and other inefficiencies that may cause or exacerbate peaks. As above, the result is a reduction in the tendency to over-build. Supply managers can more closely match procurement with delivery. As a result, they can fine-tune supply portfolios, reducing the tendency to over-contract for peak supply and reducing the need to resort to spot market purchases during high peaks. Smart Grids can help lower the cost of remaining peaks by: Standardizing interconnections for new distributed resources (such as electricity storage devices). Placing the interconnections where needed to support anticipated grid congestion. Smart Grid Business Software Lowers the Cost of Field Services By processing Smart Grid data through their business software, utilities can reduce such field costs as: Vegetation management. Smart Grids can pinpoint momentary interruptions and tree-caused outages. Spatial mash-up tools leverage GIS models of tree growth for targeted vegetation management. This reduces the cost of unnecessary tree trimming. Service vehicle fuel. Many utility service calls are “false alarms.” Checking meter status before dispatching crews prevents many unnecessary “truck rolls.” Similarly, crews use far less fuel when Smart Grid sensors can pinpoint a problem and mobile workforce applications can then route them directly to it. Smart Grid Business Software Ensures Regulatory Compliance Smart Grids can ensure compliance with private contracts and with regional, national, or international requirements by: Monitoring fulfillment of contract terms. Utilities can use one-hour interval meters to ensure that interruptible (“non-core”) customers actually reduce or eliminate deliveries as required. They can use the information to levy fines against contract violators. Monitoring regulations imposed on customers, such as maximum use during specific time periods. Using accurate time-stamped event history derived from intelligent devices distributed throughout the smart grid to monitor and report reliability statistics and risk compliance. Automating business processes and activities that ensure compliance with security and reliability measures (e.g. NERC-CIP 2-9). Grid Business Software Strengthens Utilities’ Connection to Customers While Reducing Customer Service Costs During outages, Smart Grid business software can: Identify outages more quickly. Software uses sensors to pinpoint outages and nested outage locations. They also permit utilities to ensure outage resolution at every meter location. Size outages more accurately, permitting utilities to dispatch crews that have the skills needed, in appropriate numbers. Provide updates on outage location and expected duration. This information helps call centers inform customers about the timing of service restoration. Smart Grids also facilitates display of outage maps for customer and public-service use. Smart Grids can significantly reduce the cost to: Connect and disconnect customers. Meters capable of remote disconnect can virtually eliminate the costs of field crews and vehicles previously required to change service from the old to the new residents of a metered property or disconnect customers for nonpayment. Resolve reports of voltage fluctuation. Smart Grids gather and report voltage and power quality data from meters and grid sensors, enabling utilities to pinpoint reported problems or resolve them before customers complain. Detect and resolve non-technical losses (e.g. theft). Smart Grids can identify illegal attempts to reconnect meters or to use electricity in supposedly vacant premises. They can also detect theft by comparing flows through delivery assets with billed consumption. Smart Grids also facilitate outreach to customers. By monitoring and analyzing consumption over time, utilities can: Identify customers with unusually high usage and contact them before they receive a bill. They can also suggest conservation techniques that might help to limit consumption. This can head off “high bill” complaints to the contact center. Note that such “high usage” or “additional charges apply because you are out of range” notices—frequently via text messaging—are already common among mobile phone providers. Help customers identify appropriate bill payment alternatives (budget billing, prepayment, etc.). Help customers find and reduce causes of over-consumption. There’s no waiting for bills in the mail before they even understand there is a problem. Utilities benefit not just through improved customer relations but also through limiting the size of bills from customers who might struggle to pay them. Where permitted, Smart Grids can open the doors to such new utility service offerings as: Monitoring properties. Landlords reduce costs of vacant properties when utilities notify them of unexpected energy or water consumption. Utilities can perform similar services for owners of vacation properties or the adult children of aging parents. Monitoring equipment. Power-use patterns can reveal a need for equipment maintenance. Smart Grids permit utilities to alert owners or managers to a need for maintenance or replacement. Facilitating home and small-business networks. Smart Grids can provide a gateway to equipment networks that automate control or let owners access equipment remotely. They also facilitate net metering, offering some utilities a path toward involvement in small-scale solar or wind generation. Prepayment plans that do not need special meters. Smart Grid Business Software Helps Customers Control Energy Costs There is no end to the ways Smart Grids help both small and large customers control energy costs. For instance: Multi-premises customers appreciate having all meters read on the same day so that they can more easily compare consumption at various sites. Customers in competitive regions can match their consumption profile (detailed via Smart Grid data) with specific offerings from competitive suppliers. Customers seeing inexplicable consumption patterns and power quality problems may investigate further. The result can be discovery of electrical problems that can be resolved through rewiring or maintenance—before more serious fires or accidents happen. Smart Grid Business Software Facilitates Use of Renewables Generation from wind and solar resources is a popular alternative to fossil fuel generation, which emits greenhouse gases. Wind and solar generation may also increase energy security in regions that currently import fossil fuel for use in generation. Utilities face many technical issues as they attempt to integrate intermittent resource generation into traditional grids, which traditionally handle only fully dispatchable generation. Smart Grid business software helps solves many of these issues by: Detecting sudden drops in production from renewables-generated electricity (wind and solar) and automatically triggering electricity storage and smart appliance response to compensate as needed. Supporting industry-standard distributed generation interconnection processes to reduce interconnection costs and avoid adding renewable supplies to locations already subject to grid congestion. Facilitating modeling and monitoring of locally generated supply from renewables and thus helping to maximize their use. Increasing the efficiency of “net metering” (through which utilities can use electricity generated by customers) by: Providing data for analysis. Integrating the production and consumption aspects of customer accounts. During non-peak periods, such techniques enable utilities to increase the percent of renewable generation in their supply mix. During peak periods, Smart Grid business software controls circuit reconfiguration to maximize available capacity. Conclusion Utility missions are changing. Yesterday, they focused on delivery of reasonably priced energy and water. Tomorrow, their missions will expand to encompass sustainable use and environmental improvement.Smart Grids are key to helping utilities achieve this expanded mission. But they come at a relatively high price. Utilities will need to invest heavily in new hardware, software, business process development, and staff training. Customer investments in home area networks and smart appliances will be large. Learning to change the energy and water consumption habits of a lifetime could ultimately prove even more formidable tasks.Smart Grid business software can ease the cost and difficulties inherent in a needed transition to a more flexible, reliable, responsive electricity grid. Justifying its implementation, however, requires a full understanding of the benefits it brings—benefits that can ultimately help customers, utilities, communities, and the world address global issues like energy security and climate change while minimizing costs and maximizing customer convenience. This white paper is available for download here. For further information about Oracle's Primavera Solutions for Utilities, please read our Utilities e-book.

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• Change the default Icon on your jQuery UI Accordion

  - by hajan

  I've got this question in one of my previous blogs posted here (the same blog is posted on codeasp.net too), dealing with jQuery UI Accordion and I thought it's nice to recap this in a blog post so that I will have it documented for further reference. In the previous blog, I'm creating tabs content navigation using jQuery UI Accordion. So, it's quite simple code and all I do there is calling accordion() function. <script language="javascript" type="text/javascript">     $(function() {         $("#products").accordion();     }); </script> The default image icons for each item is the arrow. The accordion uses the right arrow and down arrow images. So, what we should do in order to change them? JQuery UI Accordion contains option with name icons that has header and headerSelected properties. We can override them with either the existing classes from jQuery UI themes or with our own. 1. Using existing jQuery UI Theme classes - Open the follownig link: http://jqueryui.com/themeroller/#icons You will see the icons available in the jQuery UI theme. Mouse over on each icon and you will see the class name for each icon. As you can see, each icon has class name constructed in the following way: ui-icon-<name> All icons in one image - In our example, I will use ui-icon-circle-plus  and ui-icon-circle-minus (plus and minus icons). - Lets set the icons <script language="javascript" type="text/javascript">     $(function() {         //initialize accordion                 $("#products").accordion();         //set accordion header options         $("#products").accordion("option", "icons",         { 'header': 'ui-icon-circle-plus', 'headerSelected': 'ui-icon-circle-minus' });     }); </script> From the code above, you can see that I first intialize the accordion plugin, and after I override the default icons with the ui-icon-circle-plyus for header and ui-icon-circle-minus for headerSelected. Here is the end result: So, now you see we have the plus/minus circle icons for the default header state and the selected header state.   2. Add my own icons - If you want to add your own icons, you can do that by creating your own custom css classes. - Lets create classes for both, the header default state and header selected state <style type="text/css">     .defaultIcon     {         background-image: url(images/icons/defaultIcon.png) !important;         width: 25px;         height: 25px;     }     .selectedIcon     {         background-image: url(images/icons/selectedIcon.png) !important;         width: 25px;         height: 25px;     } </style> As you can see, I use my own images placed in images/icons/ folder - default icon - selected icon One very important thing to note here is the !important key added on each background-image property. It's like that in order to give highest importancy to our image so that the default jQuery UI theme icon images will have less importancy and won't be used. And the jQuery code is: <script language="javascript" type="text/javascript">     $(function() {         //initialize accordion                 $("#products").accordion();         //set accordion header options         $("#products").accordion("option", "icons",         { 'header': 'defaultIcon', 'headerSelected': 'selectedIcon' });     }); </script> Note: For both #1 and #2 cases, we use the class names without adding . (dot) at the beginning of the name (as we do with selectors). That's because the the header and headerSelected properties accept classes only as a value, so the rest is done by the plugin itself. The complete code with my own custom images is: <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> <html xmlns="http://www.w3.org/1999/xhtml"> <head id="Head1" runat="server">     <title>jQuery Accordion</title>     <link type="text/css" href="http://ajax.microsoft.com/ajax/jquery.ui/1.8.5/themes/blitzer/jquery-ui.css"         rel="Stylesheet" />     <style type="text/css">         .defaultIcon         {             background-image: url(images/icons/defaultIcon.png) !important;             width: 25px;             height: 25px;         }         .selectedIcon         {             background-image: url(images/icons/selectedIcon.png) !important;             width: 25px;             height: 25px;         }     </style>     <script type="text/javascript" src="http://ajax.aspnetcdn.com/ajax/jquery/jquery-1.4.4.js"></script>     <script type="text/javascript" src="http://ajax.aspnetcdn.com/ajax/jquery.ui/1.8.6/jquery-ui.js"></script>     <script language="javascript" type="text/javascript">         $(function() {             //initialize accordion                         $("#products").accordion();             //set accordion header options             $("#products").accordion("option", "icons",             { 'header': 'defaultIcon', 'headerSelected': 'selectedIcon' });         });             </script> </head> <body>     <form id="form1" runat="server">     <div id="products" style="width: 500px;">         <h3>             <a href="#">                 Product 1</a></h3>         <div>             <p>                 Lorem ipsum dolor sit amet, consectetur adipiscing elit. Phasellus in tortor metus,                 a aliquam dui. Mauris euismod lorem eget nulla semper semper. Vestibulum pretium                 rhoncus cursus. Vestibulum rhoncus, magna sit amet fermentum fringilla, nunc nisl                 pellentesque libero, nec commodo libero ipsum a tellus. Maecenas sed varius est.                 Sed vel risus at nisi imperdiet sollicitudin eget ac orci. Duis ac tristique sem.             </p>         </div>         <h3>             <a href="#">                 Product 2</a></h3>         <div>             <p>                 Aliquam pretium scelerisque nisl in malesuada. Proin dictum elementum rutrum. Etiam                 eleifend massa id dui porta tincidunt. Integer sodales nisi nec ligula lacinia tincidunt                 vel in purus. Mauris ultrices velit quis massa dignissim rhoncus. Proin posuere                 convallis euismod. Vestibulum convallis sagittis arcu id faucibus.             </p>         </div>         <h3>             <a href="#">                 Product 3</a></h3>         <div>             <p>                 Quisque quis magna id nibh laoreet condimentum a sed nisl. In hac habitasse platea                 dictumst. Proin sem eros, dignissim sed consequat sit amet, interdum id ante. Ut                 id nisi in ante fermentum accumsan vitae ut est. Morbi tellus enim, convallis ac                 rutrum a, condimentum ut turpis. Proin sit amet pretium felis.             </p>             <ul>                 <li>List item one</li>                 <li>List item two</li>                 <li>List item three</li>             </ul>         </div>     </div>     </form> </body> </html> The end result is: Hope this was helpful. Regards,Hajan

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• socket connection failed, telnet OK

  - by cf16

  my problem is that I can't connect two comps through socket (windows xp and windows7) although the server created with socket is listening and I can telnet it. It receives then information and does what should be done, but if I run the corresponding socket client I get error 10061. Moreover I am behind firewall - these two comps are running within my LAN, the windows firewalls are turned off, comp1: 192.168.1.2 port 12345 comp1: 192.168.1.6 port 12345 router: 192.168.1.1 Maybe port forwarding could help? But most important for me is to answer why Sockets fail if telnet works fine. client: int main(){ // Initialize Winsock. WSADATA wsaData; int iResult = WSAStartup(MAKEWORD(2,2), &wsaData); if (iResult != NO_ERROR) printf("Client: Error at WSAStartup().\n"); else printf("Client: WSAStartup() is OK.\n"); // Create a socket. SOCKET m_socket; m_socket = socket(AF_INET, SOCK_STREAM, IPPROTO_TCP); if (m_socket == INVALID_SOCKET){ printf("Client: socket() - Error at socket(): %ld\n", WSAGetLastError()); WSACleanup(); return 7; }else printf("Client: socket() is OK.\n"); // Connect to a server. sockaddr_in clientService; clientService.sin_family = AF_INET; //clientService.sin_addr.s_addr = inet_addr("77.64.240.156"); clientService.sin_addr.s_addr = inet_addr("192.168.1.5"); //clientService.sin_addr.s_addr = inet_addr("87.207.222.5"); clientService.sin_port = htons(12345); if (connect(m_socket, (SOCKADDR*)&clientService, sizeof(clientService)) == SOCKET_ERROR){ printf("Client: connect() - Failed to connect.\n"); wprintf(L"connect function failed with error: %ld\n", WSAGetLastError()); iResult = closesocket(m_socket); if (iResult == SOCKET_ERROR) wprintf(L"closesocket function failed with error: %ld\n", WSAGetLastError()); WSACleanup(); return 6; } // Send and receive data int bytesSent; int bytesRecv = SOCKET_ERROR; // Be careful with the array bound, provide some checking mechanism char sendbuf[200] = "Client: Sending some test string to server..."; char recvbuf[200] = ""; bytesSent = send(m_socket, sendbuf, strlen(sendbuf), 0); printf("Client: send() - Bytes Sent: %ld\n", bytesSent); while(bytesRecv == SOCKET_ERROR){ bytesRecv = recv(m_socket, recvbuf, 32, 0); if (bytesRecv == 0 || bytesRecv == WSAECONNRESET){ printf("Client: Connection Closed.\n"); break; }else printf("Client: recv() is OK.\n"); if (bytesRecv < 0) return 0; else printf("Client: Bytes received - %ld.\n", bytesRecv); } system("pause"); return 0; } server: int main(){ WORD wVersionRequested; WSADATA wsaData={0}; int wsaerr; // Using MAKEWORD macro, Winsock version request 2.2 wVersionRequested = MAKEWORD(2, 2); wsaerr = WSAStartup(wVersionRequested, &wsaData); if (wsaerr != 0){ /* Tell the user that we could not find a usable WinSock DLL.*/ printf("Server: The Winsock dll not found!\n"); return 0; }else{ printf("Server: The Winsock dll found!\n"); printf("Server: The status: %s.\n", wsaData.szSystemStatus); } /* Confirm that the WinSock DLL supports 2.2.*/ /* Note that if the DLL supports versions greater */ /* than 2.2 in addition to 2.2, it will still return */ /* 2.2 in wVersion since that is the version we */ /* requested. */ if (LOBYTE(wsaData.wVersion) != 2 || HIBYTE(wsaData.wVersion) != 2 ){ /* Tell the user that we could not find a usable WinSock DLL.*/ printf("Server: The dll do not support the Winsock version %u.%u!\n", LOBYTE(wsaData.wVersion), HIBYTE(wsaData.wVersion)); WSACleanup(); return 0; }else{ printf("Server: The dll supports the Winsock version %u.%u!\n", LOBYTE(wsaData.wVersion), HIBYTE(wsaData.wVersion)); printf("Server: The highest version this dll can support: %u.%u\n", LOBYTE(wsaData.wHighVersion), HIBYTE(wsaData.wHighVersion)); } //////////Create a socket//////////////////////// //Create a SOCKET object called m_socket. SOCKET m_socket; // Call the socket function and return its value to the m_socket variable. // For this application, use the Internet address family, streaming sockets, and the TCP/IP protocol. // using AF_INET family, TCP socket type and protocol of the AF_INET - IPv4 m_socket = socket(AF_INET, SOCK_STREAM, IPPROTO_TCP); // Check for errors to ensure that the socket is a valid socket. if (m_socket == INVALID_SOCKET){ printf("Server: Error at socket(): %ld\n", WSAGetLastError()); WSACleanup(); //return 0; }else{ printf("Server: socket() is OK!\n"); } ////////////////bind////////////////////////////// // Create a sockaddr_in object and set its values. sockaddr_in service; // AF_INET is the Internet address family. service.sin_family = AF_INET; // "127.0.0.1" is the local IP address to which the socket will be bound. service.sin_addr.s_addr = htons(INADDR_ANY);//inet_addr("127.0.0.1");//htons(INADDR_ANY); //inet_addr("192.168.1.2"); // 55555 is the port number to which the socket will be bound. // using the htons for big-endian service.sin_port = htons(12345); // Call the bind function, passing the created socket and the sockaddr_in structure as parameters. // Check for general errors. if (bind(m_socket, (SOCKADDR*)&service, sizeof(service)) == SOCKET_ERROR){ printf("Server: bind() failed: %ld.\n", WSAGetLastError()); closesocket(m_socket); //return 0; }else{ printf("Server: bind() is OK!\n"); } // Call the listen function, passing the created socket and the maximum number of allowed // connections to accept as parameters. Check for general errors. if (listen(m_socket, 1) == SOCKET_ERROR) printf("Server: listen(): Error listening on socket %ld.\n", WSAGetLastError()); else{ printf("Server: listen() is OK, I'm waiting for connections...\n"); } // Create a temporary SOCKET object called AcceptSocket for accepting connections. SOCKET AcceptSocket; // Create a continuous loop that checks for connections requests. If a connection // request occurs, call the accept function to handle the request. printf("Server: Waiting for a client to connect...\n"); printf("***Hint: Server is ready...run your client program...***\n"); // Do some verification... while (1){ AcceptSocket = SOCKET_ERROR; while (AcceptSocket == SOCKET_ERROR){ AcceptSocket = accept(m_socket, NULL, NULL); } // else, accept the connection... note: now it is wrong implementation !!!!!!!! !! !! (only 1 char) // When the client connection has been accepted, transfer control from the // temporary socket to the original socket and stop checking for new connections. printf("Server: Client Connected! Mammamija. \n"); m_socket = AcceptSocket; char recvBuf[200]=""; char * rc=recvBuf; int bytesRecv=recv(m_socket,recvBuf,64,0); if(bytesRecv==0 || bytesRecv==WSAECONNRESET){ cout<<"server: connection closed.\n"; }else{ cout<<"server: recv() is OK.\n"; if(bytesRecv<0){ return 0; }else{ printf("server: bytes received: %ld.\n",recvBuf); } }

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• My computer freezes irregularly

  - by Manhim

  My computer started to freeze at irregular times for 3 weeks now. Please note that this question change with each things that i try. (For additional details) What happens My computer freezes, the video stops. (No graphic glitches, it just stops) Sound keeps playing up to some time (Usually 10-30 seconds) then stops playing. Sometimes, randomly, the screen on my G-15 keyboard flickers and I see caracters not at the right places. Usually happens for about 1-2 seconds and a bit before my computer freezes. I have to keep the power button pressed for 4 seconds to shut my computer down. I still hear my hard drives and fans working. Sometimes it works with no problems for a full day, some other times it just keeps freezing each time I restart my computer and I have to leave it for the rest of the day. Sometimes my mouse freezes for a fraction of a second (Like 0.01 to 0.2 seconds) quite randomly, usually before it freezes. No errors spotted by the "Action center" unlike when I had problems with my last video card on this system (Driver errors). My G-15 LCD screen also freezes. Sometimes my G-15 LCD screen flickers and caracters gets caried around temporary under heavy load. Now, most of the times, the BIOS hard disks boot order gets reversed for some reason and I have to put it to the right one and save each times I boot. (Might be unrelated, not sure, but it first started yesterday) Sometimes the BIOS doesn't detect my 750GB hard drive plugged in SATA1. What I did so far I have had similar problems in the past and I had changed my hard drive (It was faulty), so I tested my software RAID-0 array and it was faulty so I changed it. (I reinstalled Windows 7 with this part). I also tested with unplugging my secondary hard drive. My CPU was running at about 100 degree Celsius, I removed the dust between the fans and the heatsink and it's now between 45-55. I ran a CPU stress-test and it didn't freeze during the tests (using Prime95 on all cores) Ran a memory test (using memtest86+) for a single pass and there were no errors. Ran a GPU stress test with ati-tools and furmark and it didn't freeze during the tests. (No artefacts either) I had troubles with my graphic card when I got it, but I think that it got fixed with a driver update. I checked the voltages in my BIOS setup and they all seemed ok (±0.2 I think). I have ran on the computer without problems with Fedora 15 on an external hard drive (Appart that it couldn't load Gnome 3 and was reverting to Gnome 2, didn't want to install drivers since I use it on multiple computers) I used it to backup my files from the raid array to my 1TB hard drive for the reinstallation of Windows. (So the crashes only happenned on Windows) [The external hard drive is plugged directly on a SATA port] I contacted EVGA (My graphic card vendor) and pointed them on this question, I'm looking for an answer. Ran sensors on Fedora 15 and got this output: http://pastebin.com/0BHJnAvu Ran 6 short different CPU stress test on Fedora 15 (Haven't found any complete stress testers for Linux) and it didn't crash. Changed the thermal paste to some Artic Silver 5 for my CPU and stress tested the CPU, temperature was at 50 idle, then 64 highest and slowly went down to 62 during the test. Ran some stress testing with a temporary graphic card and it went ok. Ran furmark stress test with my original graphic card and it freezed again. GPU had a temp of 74C, a CPU temp of 58C and a mobo temp of 40C or 45C (Dunno which one it is from SpeedFan). Ran a furmark stress test and a CPU stress test at the same time, results: http://pastebin.com/2t6PLpdJ I have been using my computer without stressing it for about 2 hours now and no crashes yet. I also have disabled the AMD Cool'n'quiet function on the BIOS for a more regular power to the CPU. When I ran Furmark without C'n'q my computer didn't freeze but I had a "Driver Kernel Error" that have recovered (And Furmark crashed) all that while running a CPU stress test. The computer eventually frozed without me being at it, but this time my screen just went on sleep and I couldn't wake it. Using the stability tester in nTune my computer freezed again (In the same manner as before). I notived that Speedfan gives me a -12V of -16.97V and a -5V of -8.78V. I wonder if these numbers are reliable and if they are good or bad. I have swapped my G-15 with another basic USB keyboard (HP) and I have ran furmark for about 10 minutes with a CPU stability test running each 60 seconds for 30 seconds and my computer haven't crashed yet. Ran some more extended tests without my G-15 and it freezed like it usually do. Removed the nForce Hard disk controler. Disabled command queuing in the NVIDIA nForce SATA Controller for both port 0 and port 1 (Errors from the logs) Used CPUID HwMonitor, here are the voltages: http://pastebin.com/dfM7p4jV Changed some configurations in the motherboard BIOS: Disabled PEG Link Mode, Changed AI Tuning to Standard, Disabled the 1394 Controller, Disabled HD Audio, Disabled JMicron RAID controller and Disabled SATA Raid. When it happens When I play video games (Mostly) When I play flash games (Second most) When I'm looking at my desktop background (It rarely happens when I have a window open, but it does, sometimes) When my Graphic card and my CPU are stressed. Sometimes when my Graphic card is stressed. Never happenned while stressing only the CPU. Sometimes when my CPU is stressed. Specs Windows Seven x64 Home Premium Motherboard: M2N-SLI Deluxe CPU: AMD Phenom 9950 x2 @ 2.6GHz Memory: Kingston 4x2GB Dual Channel (Pretty basic memory sticks) Hard drives: Was 2x250GB (Western digital caviar) in raid-0 + 1TB (WD caviar black), I replaced the raid array with a 750GB (WD caviar black) [Yes I removed the array from the raid configurations] 750W Power supply No overcloking. Ever. There have been some power-downs like 4-5 weeks ago, but the problem didn't start immediately after. (I wasn't home, so my computer got shut-down) Event logs (Warnings, errors and critical errors) for the last 24 hours: http://pastebin.com/Bvvk31T7 My current to-try list Reinstall the drivers and software 1 by 1 and do extensive stress testing between each. Update the BIOS firmware to the most recent stable one. Change my motherboard. Status updates Keeping only the last 3 (28/06 04pm) More stress testing and still pass the tests. (28/06 03pm) Been stress testing for 10 minute straight now and 5 minutes with both CPU and GPU being stressed at the same time. (28/06 03pm) Stress-testing right now, so far no problems. A little hope Tests with Furmark and Prime95. Testing Windows bare-bone: 30 Minutes stress, no freeze. Installing an Anti-virus and some software, restarting computer. Testing with Anti-virus and some software (No drivers installed): 30 Minutes stress, no freeze. Installing audio drivers, restarting computer. Testing with the audio drivers: 30 Minutes stress, no freeze. Installing the latest graphic drivers from EVGA's website (without 3d vision since I don't use it), restarting computer. Testing with the graphic drivers: 30 Minutes stress, no freeze. Configuring Windows to my liking and installing more softwares. In this situation, how can I successfully pin-point the current hardware problem? (If it's a hardware problem) Because I don't really have the budget to just forget and replace everything. I also don't really have hardware to test-replace current hardware.

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• Sharing Bandwidth and Prioritizing Realtime Traffic via HTB, Which Scenario Works Better?

  - by Mecki

  I would like to add some kind of traffic management to our Internet line. After reading a lot of documentation, I think HFSC is too complicated for me (I don't understand all the curves stuff, I'm afraid I will never get it right), CBQ is not recommend, and basically HTB is the way to go for most people. Our internal network has three "segments" and I'd like to share bandwidth more or less equally between those (at least in the beginning). Further I must prioritize traffic according to at least three kinds of traffic (realtime traffic, standard traffic, and bulk traffic). The bandwidth sharing is not as important as the fact that realtime traffic should always be treated as premium traffic whenever possible, but of course no other traffic class may starve either. The question is, what makes more sense and also guarantees better realtime throughput: Creating one class per segment, each having the same rate (priority doesn't matter for classes that are no leaves according to HTB developer) and each of these classes has three sub-classes (leaves) for the 3 priority levels (with different priorities and different rates). Having one class per priority level on top, each having a different rate (again priority won't matter) and each having 3 sub-classes, one per segment, whereas all 3 in the realtime class have highest prio, lowest prio in the bulk class, and so on. I'll try to make this more clear with the following ASCII art image: Case 1: root --+--> Segment A | +--> High Prio | +--> Normal Prio | +--> Low Prio | +--> Segment B | +--> High Prio | +--> Normal Prio | +--> Low Prio | +--> Segment C +--> High Prio +--> Normal Prio +--> Low Prio Case 2: root --+--> High Prio | +--> Segment A | +--> Segment B | +--> Segment C | +--> Normal Prio | +--> Segment A | +--> Segment B | +--> Segment C | +--> Low Prio +--> Segment A +--> Segment B +--> Segment C Case 1 Seems like the way most people would do it, but unless I don't read the HTB implementation details correctly, Case 2 may offer better prioritizing. The HTB manual says, that if a class has hit its rate, it may borrow from its parent and when borrowing, classes with higher priority always get bandwidth offered first. However, it also says that classes having bandwidth available on a lower tree-level are always preferred to those on a higher tree level, regardless of priority. Let's assume the following situation: Segment C is not sending any traffic. Segment A is only sending realtime traffic, as fast as it can (enough to saturate the link alone) and Segment B is only sending bulk traffic, as fast as it can (again, enough to saturate the full link alone). What will happen? Case 1: Segment A-High Prio and Segment B-Low Prio both have packets to send, since A-High Prio has the higher priority, it will always be scheduled first, till it hits its rate. Now it tries to borrow from Segment A, but since Segment A is on a higher level and Segment B-Low Prio has not yet hit its rate, this class is now served first, till it also hits the rate and wants to borrow from Segment B. Once both have hit their rates, both are on the same level again and now Segment A-High Prio is going to win again, until it hits the rate of Segment A. Now it tries to borrow from root (which has plenty of traffic spare, as Segment C is not using any of its guaranteed traffic), but again, it has to wait for Segment B-Low Prio to also reach the root level. Once that happens, priority is taken into account again and this time Segment A-High Prio will get all the bandwidth left over from Segment C. Case 2: High Prio-Segment A and Low Prio-Segment B both have packets to send, again High Prio-Segment A is going to win as it has the higher priority. Once it hits its rate, it tries to borrow from High Prio, which has bandwidth spare, but being on a higher level, it has to wait for Low Prio-Segment B again to also hit its rate. Once both have hit their rate and both have to borrow, High Prio-Segment A will win again until it hits the rate of the High Prio class. Once that happens, it tries to borrow from root, which has again plenty of bandwidth left (all bandwidth of Normal Prio is unused at the moment), but it has to wait again until Low Prio-Segment B hits the rate limit of the Low Prio class and also tries to borrow from root. Finally both classes try to borrow from root, priority is taken into account, and High Prio-Segment A gets all bandwidth root has left over. Both cases seem sub-optimal, as either way realtime traffic sometimes has to wait for bulk traffic, even though there is plenty of bandwidth left it could borrow. However, in case 2 it seems like the realtime traffic has to wait less than in case 1, since it only has to wait till the bulk traffic rate is hit, which is most likely less than the rate of a whole segment (and in case 1 that is the rate it has to wait for). Or am I totally wrong here? I thought about even simpler setups, using a priority qdisc. But priority queues have the big problem that they cause starvation if they are not somehow limited. Starvation is not acceptable. Of course one can put a TBF (Token Bucket Filter) into each priority class to limit the rate and thus avoid starvation, but when doing so, a single priority class cannot saturate the link on its own any longer, even if all other priority classes are empty, the TBF will prevent that from happening. And this is also sub-optimal, since why wouldn't a class get 100% of the line's bandwidth if no other class needs any of it at the moment? Any comments or ideas regarding this setup? It seems so hard to do using standard tc qdiscs. As a programmer it was such an easy task if I could simply write my own scheduler (which I'm not allowed to do).

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• C# WPF application is using too much memory while GC.GetTotalMemory() is low

  - by Dmitry

  I wrote little WPF application with 2 threads - main thread is GUI thread and another thread is worker. App has one WPF form with some controls. There is a button, allowing to select directory. After selecting directory, application scans for .jpg files in that directory and checks if their thumbnails are in hashtable. if they are, it does nothing. else it's adding their full filenames to queue for worker. Worker is taking filenames from this queue, loading JPEG images (using WPF's JpegBitmapDecoder and BitmapFrame), making thumbnails of them (using WPF's TransformedBitmap) and adding them to hashtable. Everything works fine, except memory consumption by this application when making thumbnails for big images (like 5000x5000 pixels). I've added textboxes on my form to show memory consumption (GC.GetTotalMemory() and Process.GetCurrentProcess().PrivateMemorySize64) and was very surprised, cuz GC.GetTotalMemory() stays close to 1-2 Mbytes, while private memory size constantly grows, especially when loading new image (~ +100Mb per image). Even after loading all images, making thumbnails of them and freeing original images, private memory size stays at ~700-800Mbytes. My VirtualBox is limited to 512Mb of physical memory and Windows in VirtualBox starts to swap alot to handle this huge memory consumption. I guess I'm doing something wrong, but I don't know how to investigate this problem, cuz according to GC, allocated memory size is very low. Attaching code of thumbnail loader class: class ThumbnailLoader { Hashtable thumbnails; Queue<string> taskqueue; EventWaitHandle wh; Thread[] workers; bool stop; object locker; int width, height, processed, added; public ThumbnailLoader() { int workercount,i; wh = new AutoResetEvent(false); thumbnails = new Hashtable(); taskqueue = new Queue<string>(); stop = false; locker = new object(); width = height = 64; processed = added = 0; workercount = Environment.ProcessorCount; workers=new Thread[workercount]; for (i = 0; i < workercount; i++) { workers[i] = new Thread(Worker); workers[i].IsBackground = true; workers[i].Priority = ThreadPriority.Highest; workers[i].Start(); } } public void SetThumbnailSize(int twidth, int theight) { width = twidth; height = theight; if (thumbnails.Count!=0) AddTask("#resethash"); } public void GetProgress(out int Added, out int Processed) { Added = added; Processed = processed; } private void AddTask(string filename) { lock(locker) { taskqueue.Enqueue(filename); wh.Set(); added++; } } private string NextTask() { lock(locker) { if (taskqueue.Count == 0) return null; else { processed++; return taskqueue.Dequeue(); } } } public static string FileNameToHash(string s) { return FormsAuthentication.HashPasswordForStoringInConfigFile(s, "MD5"); } public bool GetThumbnail(string filename,out BitmapFrame thumbnail) { string hash; hash = FileNameToHash(filename); if (thumbnails.ContainsKey(hash)) { thumbnail=(BitmapFrame)thumbnails[hash]; return true; } AddTask(filename); thumbnail = null; return false; } private BitmapFrame LoadThumbnail(string filename) { FileStream fs; JpegBitmapDecoder bd; BitmapFrame oldbf, bf; TransformedBitmap tb; double scale, dx, dy; fs = new FileStream(filename, FileMode.Open); bd = new JpegBitmapDecoder(fs, BitmapCreateOptions.None, BitmapCacheOption.OnLoad); oldbf = bd.Frames[0]; dx = (double)oldbf.Width / width; dy = (double)oldbf.Height / height; if (dx > dy) scale = 1 / dx; else scale = 1 / dy; tb = new TransformedBitmap(oldbf, new ScaleTransform(scale, scale)); bf = BitmapFrame.Create(tb); fs.Close(); oldbf = null; bd = null; GC.Collect(); return bf; } public void Dispose() { lock(locker) { stop = true; } AddTask(null); foreach (Thread worker in workers) { worker.Join(); } wh.Close(); } private void Worker() { string curtask,hash; while (!stop) { curtask = NextTask(); if (curtask == null) wh.WaitOne(); else { if (curtask == "#resethash") thumbnails.Clear(); else { hash = FileNameToHash(curtask); try { thumbnails[hash] = LoadThumbnail(curtask); } catch { thumbnails[hash] = null; } } } } } }

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• Runtime error of TASM language help!

  - by dominoos

  .model small .stack 400h .data message db "hello. ", 0ah, 0dh, "$" firstdigit db ? seconddigit db ? thirddigit db ? number dw ? newnumber db ? anumber dw 0d bnumber dw 0d Firstn db 0ah, 0dh, "Enter first 3 digit number: ","$" secondn db 0ah, 0dh, "Enter second 3 digit number: ","$" messageB db 0ah, 0dh, "HCF of two number is: ","$" linebreaker db 0ah, 0dh, ' ', 0ah, 0dh, '$' .code Start: mov ax, @data ; establish access to the data segment mov ds, ax ; mov number, 0d mov dx, offset message ; print the string "yob choi 0648293" mov ah, 9h int 21h num: mov dx, offset Firstn ; print the string "put 1st 3 digit" mov ah, 9h int 21h ;run JMP FirstFirst ; jump to FirstFirst FirstFirst: ;first digit mov ah, 1d ;bios code for read a keystroke int 21h ;call bios, it is understood that the ascii code will be returned in al mov firstdigit, al ;may as well save a copy sub al, 30h ;Convert code to an actual integer cbw ;CONVERT BYTE TO WORD. This takes whatever number is in al and ;extends it to ax, doubling its size from 8 bits to 16 bits ;The first digit now occupies all of ax as an integer mov cx, 100d ;This is so we can calculate 100*1st digit +10*2nd digit + 3rd digit mul cx ;start to accumulate the 3 digit number in the variable imul cx ;it is understood that the other operand is ax ; the result will use both dx::ax ;dx will contain only leading zeros add anumber, ax ;save ;Second Digit mov ah, 1d ;bios code for read a keystroke int 21h ;call bios, it is understood that the ascii code will be returned in al mov seconddigit, al ;may as well save a copy sub al, 30h ;Convert code to an actual integer cbw ;CONVERT BYTE TO WORD. This takes whatever number is in al and ;extends it to ax, boubling its size from 8 bits to 16 bits ;The first digit now occupies all of ax as an integer mov cx, 10d ;continue to accumulate the 3 digit number in the variable mul cx ;it is understood that the other operand is ax, containing first digit ;the result will use both dx::ax ;dx will contain only leading zeros. add anumber, ax ;save ;third Digit mov ah, 1d ;samething as above int 21h ; mov thirddigit, al ; sub al, 30h ; cbw ; add anumber, ax ; jmp num2 ;go to checks Num2: mov dx, offset secondn ; print the string "put 2nd 3 digits" mov ah, 9h int 21h ;run JMP SecondSecond SecondSecond: ;first digit mov ah, 1d ;bios code for read a keystroke int 21h ;call bios, it is understood that the ascii code will be returned in al mov firstdigit, al ;may as well save a copy sub al, 30h ;Convert code to an actual integer cbw ;CONVERT BYTE TO WORD. This takes whatever number is in al and ;extends it to ax, doubling its size from 8 bits to 16 bits ;The first digit now occupies all of ax as an integer mov cx, 100d ;This is so we can calculate 100*1st digit +10*2nd digit + 3rd digit mul cx ;start to accumulate the 3 digit number in the variable imul cx ;it is understood that the other operand is ax ; the result will use both dx::ax ;dx will contain only leading zeros add bnumber, ax ;save ;Second Digit mov ah, 1d ;bios code for read a keystroke int 21h ;call bios, it is understood that the ascii code will be returned in al mov seconddigit, al ;may as well save a copy sub al, 30h ;Convert code to an actual integer cbw ;CONVERT BYTE TO WORD. This takes whatever number is in al and ;extends it to ax, boubling its size from 8 bits to 16 bits ;The first digit now occupies all of ax as an integer mov cx, 10d ;continue to accumulate the 3 digit number in the variable mul cx ;it is understood that the other operand is ax, containing first digit ;the result will use both dx::ax ;dx will contain only leading zeros. add bnumber, ax ;save ;third Digit mov ah, 1d ;samething as above int 21h ; mov thirddigit, al ; sub al, 30h ; cbw ; add bnumber, ax ; jmp compare ;go to compare compare: CMP ax, anumber ;comparing numbB and Number JA comp1 ;go to comp1 if anumber is bigger CMP ax, anumber ; JB comp2 ;go to comp2 if anumber is smaller CMP ax, anumber ; JE equal ;go to equal if two numbers are the same JMP compare ;go to compare (avioding error) comp1: SUB ax, anumber; subtract smaller number from bigger number JMP compare ; comp2: SUB anumber, ax; subtract smaller number from bigger number JMP compare ; equal: mov ah, 9d ;make linkbreak after the 2nd 3 digit number mov dx, offset linebreaker int 21h mov ah, 9d ;print "HCF of two number is:" mov dx, offset messageB int 21h mov ax,anumber ;copying 2nd number into ax add al,30h ; converting to ascii mov newnumber,al ; copying from low part of register into newnumb mov ah, 2d ;bios code for print a character mov dl, newnumber ;we had saved the ascii code here int 21h ;call to bios JMP exit; exit: mov ah, 4ch int 21h ;exit the program End hi, this is a program that finds highest common factor of 2 different 3digit number. if i put 200, 235,312 (low numbers) it works fine. but if i put 500, 550, 654(bigger number) the program crashes after the 2nd 3digit number is entered. can you help me to find out what problem is?

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• Exception on ExecuteReader() using OleDbCommand and Access

  - by Shane Fagan

  Hi again all, I'm getting the error below for this SQL statement in VB.Net 'Fill in the datagrid with the info needed from the accdb file 'to make it simple to access the db connstring = "Provider=Microsoft.ACE.OLEDB.12.0;Data " connstring += "Source=" & Application.StartupPath & "\AuctioneerSystem.accdb" 'make the new connection conn = New System.Data.OleDb.OleDbConnection(connstring) 'the sql command SQLString = "SELECT AllPropertyDetails.PropertyID, Street, Town, County, Acres, Quotas, ResidenceDetails, Status, HighestBid, AskingPrice FROM AllPropertyDetails " SQLString += "INNER JOIN Land ON AllPropertyDetails.PropertyID = Land.PropertyID " SQLString += "WHERE Deleted = False " If PriceRadioButton.Checked = True Then SQLString += "ORDER BY AskingPrice ASC" ElseIf AcresRadioButton.Checked = True Then SQLString += "ORDER BY Acres ASC" End If 'try to open the connection conn.Open() 'if the connection is open If ConnectionState.Open.ToString = "Open" Then 'use the sqlstring and conn to create the command cmd = New System.Data.OleDb.OleDbCommand(SQLString, conn) 'read the db and put it into dr dr = cmd.ExecuteReader If dr.HasRows Then 'if there is rows in the db then make sure the list box is clear 'clear the rows and columns if there is rows in the data grid LandDataGridView.Rows.Clear() LandDataGridView.Columns.Clear() 'add the columns LandDataGridView.Columns.Add("PropertyNumber", "Property Number") LandDataGridView.Columns.Add("Address", "Address") LandDataGridView.Columns.Add("Acres", "No. of Acres") LandDataGridView.Columns.Add("Quotas", "Quotas") LandDataGridView.Columns.Add("Details", "Residence Details") LandDataGridView.Columns.Add("Status", "Status") LandDataGridView.Columns.Add("HighestBid", "Highest Bid") LandDataGridView.Columns.Add("Price", "Asking Price") While dr.Read 'output the fields into the data grid LandDataGridView.Rows.Add( _ dr.Item("PropertyID").ToString _ , dr.Item("Street").ToString & " " & dr.Item("Town").ToString & ", " & dr.Item("County").ToString _ , dr.Item("Acres").ToString _ , dr.Item("Quota").ToString _ , dr.Item("ResidenceDetails").ToString _ , dr.Item("Status").ToString _ , dr.Item("HighestBid").ToString _ , dr.Item("AskingPrice").ToString) End While End If 'close the data reader dr.Close() End If 'close the connection conn.Close() Any ideas why its not working? The fields in the DB and the table names seem ok but its not working :/ The tables are AllPropertyDetails ProperyID:Number Street: text Town: text County: text Status: text HighestBid: Currency AskingPrice: Currency Deleted: Boolean Land PropertyID: Number Acres: Number Quotas: Text ResidenceDetails: text error is: System.InvalidOperationException was unhandled Message="An error occurred creating the form. See Exception.InnerException for details. The error is: No value given for one or more required parameters." Source="AuctioneerProject" StackTrace: at AuctioneerProject.My.MyProject.MyForms.Create__Instance__[T](T Instance) in 17d14f5c-a337-4978-8281-53493378c1071.vb:line 190 at AuctioneerProject.My.MyProject.MyForms.get_LandReport() at AuctioneerProject.ReportsMenu.LandButton_Click(Object sender, EventArgs e) in C:\Users\admin\Desktop\Auctioneers\AuctioneerProject\AuctioneerProject\ReportsMenu.vb:line 4 at System.Windows.Forms.Control.OnClick(EventArgs e) at System.Windows.Forms.Button.OnClick(EventArgs e) at System.Windows.Forms.Button.OnMouseUp(MouseEventArgs mevent) at System.Windows.Forms.Control.WmMouseUp(Message& m, MouseButtons button, Int32 clicks) at System.Windows.Forms.Control.WndProc(Message& m) at System.Windows.Forms.ButtonBase.WndProc(Message& m) at System.Windows.Forms.Button.WndProc(Message& m) at System.Windows.Forms.Control.ControlNativeWindow.OnMessage(Message& m) at System.Windows.Forms.Control.ControlNativeWindow.WndProc(Message& m) at System.Windows.Forms.NativeWindow.DebuggableCallback(IntPtr hWnd, Int32 msg, IntPtr wparam, IntPtr lparam) at System.Windows.Forms.UnsafeNativeMethods.DispatchMessageW(MSG& msg) at System.Windows.Forms.Application.ComponentManager.System.Windows.Forms.UnsafeNativeMethods.IMsoComponentManager.FPushMessageLoop(Int32 dwComponentID, Int32 reason, Int32 pvLoopData) at System.Windows.Forms.Application.ThreadContext.RunMessageLoopInner(Int32 reason, ApplicationContext context) at System.Windows.Forms.Application.ThreadContext.RunMessageLoop(Int32 reason, ApplicationContext context) at System.Windows.Forms.Application.Run(ApplicationContext context) at Microsoft.VisualBasic.ApplicationServices.WindowsFormsApplicationBase.OnRun() at Microsoft.VisualBasic.ApplicationServices.WindowsFormsApplicationBase.DoApplicationModel() at Microsoft.VisualBasic.ApplicationServices.WindowsFormsApplicationBase.Run(String[] commandLine) at AuctioneerProject.My.MyApplication.Main(String[] Args) in 17d14f5c-a337-4978-8281-53493378c1071.vb:line 81 at System.AppDomain._nExecuteAssembly(Assembly assembly, String[] args) at System.AppDomain.ExecuteAssembly(String assemblyFile, Evidence assemblySecurity, String[] args) at Microsoft.VisualStudio.HostingProcess.HostProc.RunUsersAssembly() at System.Threading.ThreadHelper.ThreadStart_Context(Object state) at System.Threading.ExecutionContext.Run(ExecutionContext executionContext, ContextCallback callback, Object state) at System.Threading.ThreadHelper.ThreadStart() InnerException: System.Data.OleDb.OleDbException ErrorCode=-2147217904 Message="No value given for one or more required parameters." Source="Microsoft Office Access Database Engine" StackTrace: at System.Data.OleDb.OleDbCommand.ExecuteCommandTextErrorHandling(OleDbHResult hr) at System.Data.OleDb.OleDbCommand.ExecuteCommandTextForSingleResult(tagDBPARAMS dbParams, Object& executeResult) at System.Data.OleDb.OleDbCommand.ExecuteCommandText(Object& executeResult) at System.Data.OleDb.OleDbCommand.ExecuteCommand(CommandBehavior behavior, Object& executeResult) at System.Data.OleDb.OleDbCommand.ExecuteReaderInternal(CommandBehavior behavior, String method) at System.Data.OleDb.OleDbCommand.ExecuteReader(CommandBehavior behavior) at System.Data.OleDb.OleDbCommand.ExecuteReader() at AuctioneerProject.LandReport.load_Land() in C:\Users\admin\Desktop\Auctioneers\AuctioneerProject\AuctioneerProject\LandReport.vb:line 37 at AuctioneerProject.LandReport.PriceRadioButton_CheckedChanged(Object sender, EventArgs e) in C:\Users\admin\Desktop\Auctioneers\AuctioneerProject\AuctioneerProject\LandReport.vb:line 79 at System.Windows.Forms.RadioButton.OnCheckedChanged(EventArgs e) at System.Windows.Forms.RadioButton.set_Checked(Boolean value) at AuctioneerProject.LandReport.InitializeComponent() in C:\Users\admin\Desktop\Auctioneers\AuctioneerProject\AuctioneerProject\LandReport.designer.vb:line 40 at AuctioneerProject.LandReport..ctor() in C:\Users\admin\Desktop\Auctioneers\AuctioneerProject\AuctioneerProject\LandReport.vb:line 5 InnerException:

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• Trying to get these list items to display inline

  - by Joel

  I have several unordered lists that I want to display like this: <ul> <li><img></li> <li><p></li> //inline </ul> //linebreak <ul> <li><img></li> <li><p></li> //inline </ul> ...etc I'm not able to get the li items to be inline with eachother. They are stacking vertically. I have stripped away most styling but still can't figure out what I'm doing wrong: html: <ul class="instrument"> <li class="imagebox"><img src="/images/matepe.jpg" width="247" height="228" alt="Matepe" /></li> <li class="textbox"><p>The matepe is a 24 key instrument that is played by the Kore-Kore people in North-Eastern Zimbabwe and Mozambique. It utilizes four fingers-each playing an individual melody. These melodies also interwieve to create resultant melodies that can be manipulated thru accenting different fingers. The matepe is used in Rattletree as the bridge from the physical world to the spirit world. The matepe is used in the Kore-Kore culture to summon the Mhondoro spirits which are thought to be able to communicate directly with Mwari (God) without the need of an intermediary.</p></li> </ul> <ul class="instrument"> <li class="imagebox"><img src="/images/soprano_little.jpg" border="0" width="247" height="170" alt="Soprano" /></li> <li class="textbox"><p>The highest voice of the Rattletree Marimba orchestra is the Soprano marimba. The soprano is used to whip up the energy on the dancefloor and help people reach ecstatic state with it's high and clear singing voice. The range of these sopranos goes much lower than 'typical' Zimbabwean style sopranos. The sopranos play the range of the right hand of the matepe and go two notes higher and five notes lower. Rattletree uses two sopranos.</p></li> </ul> <ul class="instrument"> <li class="imagebox"><img src="/images/bari_little.jpg" border="0" width="247" height="170" alt="Baritone" /></li> <li class="textbox"><p>The Baritone is the next lower voice in the orchestra. The bari is where the funk is. Generally bubbling over the Bass line, the baritone creates the syncopations and polyrhythms that messes with the 'minds' of the dancers and helps seperate the listener from the physical realm of thought. The range of the baritone covers the full range of the left hand side of the matepe.</p></li> </ul> <ul class="instrument"> <li class="imagebox"><img src="/images/darren_littlebass.jpg" border="0" width="247" height="195" alt="Bass"/><strong>Bass Marimba</strong></li> <li class="textbox"><p>The towering Bass Marimba is the foundation of the Rattletree Marimba sound. Putting out frequencies as low as 22hZ, the bass creates the drive that gets the dancefloor moving. It is 5.5' tall, 9' long, and 4' deep. It is played by standing on a platform and struck with mallets that have lacross-ball size heads (they are actually made with rubber dog balls). The Bass marimba's range covers the lowest five notes of the matepe and goes another five notes lower.</p></li> </ul> <ul class="instrument"> <li class="imagebox"><img src="/images/wayne_little.jpg" border="0" width="247" height="177" alt="Drums"/><strong>Drumset</strong></li> <li class="textbox"><p>All the intricate polyrhythms are held together tastefully with the drumset. The drums provides the consistancy and grounding that the dancers need to keep going all night. While the steady kick and high-hat provide that grounding function, the toms and snare and allowed to be another voice in the poylrhythmic texture-helping the dancers abandon the concept of a "one" within this cyclical music.</p></li> </ul> css: ul.instrument { text-align:left; display:inline; } ul.instrument li { list-style-type: none; } li.imagebox { } li.textbox { } li.textbox p{ width: 247px; }

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• Application crashing when talking to oracle unless executable path contains spaces

  - by Lasse V. Karlsen

  We have an x-files problem with our .NET application. Or, rather, hybrid Win32 and .NET application. When it attempts to communicate with Oracle, it just dies. Vanishes. Goes to the big black void in the sky. No event log message, no exception, no nothing. If we simply ask the application to talk to a MS SQL Server instead, which has the effect of replacing the usage of OracleConnection and related classes with SqlConnection and related classes, it works as expected. Today we had a breakthrough. For some reason, a customer had figured out that by placing all the application files in a directory on his desktop, it worked as expected with Oracle as well. Moving the directory down to the root of the drive, or in C:\Temp or, well, around a bit, made the crash reappear. Basically it was 100% reproducable that the application worked if run from directory on desktop, and failed if run from directory in root. Today we figured out that the difference that counted was wether there was a space in the directory name or not. So, these directories would work: C:\Program Files\AppDir\Executable.exe C:\Temp Lemp\AppDir\Executable.exe C:\Documents and Settings\someuser\Desktop\AppDir\Executable.exe whereas these would not: C:\CompanyName\AppDir\Executable.exe C:\Programfiler\AppDir\Executable.exe <-- Program Files in norwegian C:\Temp\AppDir\Executable.exe I'm hoping someone reading this has seen similar behavior and have a "aha, you need to twiddle the frob on the oracle glitz driver configuration" or similar. Anyone? Followup #1: Ok, I've processed the procmon output now, both files from when I hit the button that attempts to open the window that triggers the cascade failure, and I've noticed that they keep track mostly, there's some smallish differences near the top of both files, and they they keep track a long way down. However, when one run fails, the other keeps going and the next few lines of the log output are these: ReadFile C:\oracle\product\10.2.0\db_1\BIN\orageneric10.dll SUCCESS Offset: 274 432, Length: 32 768, I/O Flags: Non-cached, Paging I/O, Synchronous Paging I/O ReadFile C:\oracle\product\10.2.0\db_1\BIN\orageneric10.dll SUCCESS Offset: 233 472, Length: 32 768, I/O Flags: Non-cached, Paging I/O, Synchronous Paging I/O After this, the working run continues to execute, and the other touches the mscorwks.dll files a few times before threads close down and the app closes. Thus, the failed run does not touch the above files. Followup #2: Figured I'd try to upgrade the oracle client drivers, but 10.2.0.1 is apparently the highest version available for Windows 2003 server and XP clients. Followup #3: Well, we've ended up with a black-box solution. Basically we found that the problem is somewhere related to XPO and Oracle. XPO has a system-table it manages, called XPObjectType, with three columns: Oid, TypeName and AssemblyName. Due to how Oracle is configured in the databases we talk to, the column names were OID, TYPENAME and ASSEMBLYNAME. This would ordinarily not be a problem, except that XPO talks to the schema information directly and checks if the table is there with the right column names, and XPO doesn't handle case differences so it sees a XPObjectType table with three unknown columns and none of those it expects. Exactly what XPO does now I don't really know, but if I dropped this table, and recreated it with the right case, using double quotes around all the column names to get the case right, the problem doesn't crop up. Exactly where the space in the folder name comes into this, I still have no idea, but this problem had two tiers: Stop the application from crashing at our customers, short-term solution Fix the bug, long-term solution Right now tier 1 is solved, tier 2 will be put back into the queue for now and prioritized. We're facing some bigger changes to our data tier anyway so this might not be a problem we need to solve, at least if all our Oracle-customers verify that the table-fix actually gets rid of the problem. I'll accept the answer by Dave Markle since though Process Monitor (the big brother of File Monitor) didn't actually pinpoint the problem, I was able to use it to determine that after my breakpoint in user-code where XPO had built up the query for this table, no I/O happened until all the entries for the application closing down was logged, which led me to believe it was this table that was the culprit, or at least influenced the problem somehow. If I manage to get to the real cause of this, I'll update the post.

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• ASP.NET Frameworks and Raw Throughput Performance

  - by Rick Strahl

  A few days ago I had a curious thought: With all these different technologies that the ASP.NET stack has to offer, what's the most efficient technology overall to return data for a server request? When I started this it was mere curiosity rather than a real practical need or result. Different tools are used for different problems and so performance differences are to be expected. But still I was curious to see how the various technologies performed relative to each just for raw throughput of the request getting to the endpoint and back out to the client with as little processing in the actual endpoint logic as possible (aka Hello World!). I want to clarify that this is merely an informal test for my own curiosity and I'm sharing the results and process here because I thought it was interesting. It's been a long while since I've done any sort of perf testing on ASP.NET, mainly because I've not had extremely heavy load requirements and because overall ASP.NET performs very well even for fairly high loads so that often it's not that critical to test load performance. This post is not meant to make a point  or even come to a conclusion which tech is better, but just to act as a reference to help understand some of the differences in perf and give a starting point to play around with this yourself. I've included the code for this simple project, so you can play with it and maybe add a few additional tests for different things if you like. Source Code on GitHub I looked at this data for these technologies: ASP.NET Web API ASP.NET MVC WebForms ASP.NET WebPages ASMX AJAX Services  (couldn't get AJAX/JSON to run on IIS8 ) WCF Rest Raw ASP.NET HttpHandlers It's quite a mixed bag, of course and the technologies target different types of development. What started out as mere curiosity turned into a bit of a head scratcher as the results were sometimes surprising. What I describe here is more to satisfy my curiosity more than anything and I thought it interesting enough to discuss on the blog :-) First test: Raw Throughput The first thing I did is test raw throughput for the various technologies. This is the least practical test of course since you're unlikely to ever create the equivalent of a 'Hello World' request in a real life application. The idea here is to measure how much time a 'NOP' request takes to return data to the client. So for this request I create the simplest Hello World request that I could come up for each tech. Http Handler The first is the lowest level approach which is an HTTP handler. public class Handler : IHttpHandler { public void ProcessRequest(HttpContext context) { context.Response.ContentType = "text/plain"; context.Response.Write("Hello World. Time is: " + DateTime.Now.ToString()); } public bool IsReusable { get { return true; } } } WebForms Next I added a couple of ASPX pages - one using CodeBehind and one using only a markup page. The CodeBehind page simple does this in CodeBehind without any markup in the ASPX page: public partial class HelloWorld_CodeBehind : System.Web.UI.Page { protected void Page_Load(object sender, EventArgs e) { Response.Write("Hello World. Time is: " + DateTime.Now.ToString() ); Response.End(); } } while the Markup page only contains some static output via an expression:<%@ Page Language="C#" AutoEventWireup="false" CodeBehind="HelloWorld_Markup.aspx.cs" Inherits="AspNetFrameworksPerformance.HelloWorld_Markup" %> Hello World. Time is <%= DateTime.Now %> ASP.NET WebPages WebPages is the freestanding Razor implementation of ASP.NET. Here's the simple HelloWorld.cshtml page:Hello World @DateTime.Now WCF REST WCF REST was the token REST implementation for ASP.NET before WebAPI and the inbetween step from ASP.NET AJAX. I'd like to forget that this technology was ever considered for production use, but I'll include it here. Here's an OperationContract class: [ServiceContract(Namespace = "")] [AspNetCompatibilityRequirements(RequirementsMode = AspNetCompatibilityRequirementsMode.Allowed)] public class WcfService { [OperationContract] [WebGet] public Stream HelloWorld() { var data = Encoding.Unicode.GetBytes("Hello World" + DateTime.Now.ToString()); var ms = new MemoryStream(data); // Add your operation implementation here return ms; } } WCF REST can return arbitrary results by returning a Stream object and a content type. The code above turns the string result into a stream and returns that back to the client. ASP.NET AJAX (ASMX Services) I also wanted to test ASP.NET AJAX services because prior to WebAPI this is probably still the most widely used AJAX technology for the ASP.NET stack today. Unfortunately I was completely unable to get this running on my Windows 8 machine. Visual Studio 2012  removed adding of ASP.NET AJAX services, and when I tried to manually add the service and configure the script handler references it simply did not work - I always got a SOAP response for GET and POST operations. No matter what I tried I always ended up getting XML results even when explicitly adding the ScriptHandler. So, I didn't test this (but the code is there - you might be able to test this on a Windows 7 box). ASP.NET MVC Next up is probably the most popular ASP.NET technology at the moment: MVC. Here's the small controller: public class MvcPerformanceController : Controller { public ActionResult Index() { return View(); } public ActionResult HelloWorldCode() { return new ContentResult() { Content = "Hello World. Time is: " + DateTime.Now.ToString() }; } } ASP.NET WebAPI Next up is WebAPI which looks kind of similar to MVC. Except here I have to use a StringContent result to return the response: public class WebApiPerformanceController : ApiController { [HttpGet] public HttpResponseMessage HelloWorldCode() { return new HttpResponseMessage() { Content = new StringContent("Hello World. Time is: " + DateTime.Now.ToString(), Encoding.UTF8, "text/plain") }; } } Testing Take a minute to think about each of the technologies… and take a guess which you think is most efficient in raw throughput. The fastest should be pretty obvious, but the others - maybe not so much. The testing I did is pretty informal since it was mainly to satisfy my curiosity - here's how I did this: I used Apache Bench (ab.exe) from a full Apache HTTP installation to run and log the test results of hitting the server. ab.exe is a small executable that lets you hit a URL repeatedly and provides counter information about the number of requests, requests per second etc. ab.exe and the batch file are located in the \LoadTests folder of the project. An ab.exe command line  looks like this: ab.exe -n100000 -c20 http://localhost/aspnetperf/api/HelloWorld which hits the specified URL 100,000 times with a load factor of 20 concurrent requests. This results in output like this:   It's a great way to get a quick and dirty performance summary. Run it a few times to make sure there's not a large amount of varience. You might also want to do an IISRESET to clear the Web Server. Just make sure you do a short test run to warm up the server first - otherwise your first run is likely to be skewed downwards. ab.exe also allows you to specify headers and provide POST data and many other things if you want to get a little more fancy. Here all tests are GET requests to keep it simple. I ran each test: 100,000 iterations Load factor of 20 concurrent connections IISReset before starting A short warm up run for API and MVC to make sure startup cost is mitigated Here is the batch file I used for the test: IISRESET REM make sure you add REM C:\Program Files (x86)\Apache Software Foundation\Apache2.2\bin REM to your path so ab.exe can be found REM Warm up ab.exe -n100 -c20 http://localhost/aspnetperf/MvcPerformance/HelloWorldJsonab.exe -n100 -c20 http://localhost/aspnetperf/api/HelloWorldJson ab.exe -n100 -c20 http://localhost/AspNetPerf/WcfService.svc/HelloWorld ab.exe -n100000 -c20 http://localhost/aspnetperf/handler.ashx > handler.txt ab.exe -n100000 -c20 http://localhost/aspnetperf/HelloWorld_CodeBehind.aspx > AspxCodeBehind.txt ab.exe -n100000 -c20 http://localhost/aspnetperf/HelloWorld_Markup.aspx > AspxMarkup.txt ab.exe -n100000 -c20 http://localhost/AspNetPerf/WcfService.svc/HelloWorld > Wcf.txt ab.exe -n100000 -c20 http://localhost/aspnetperf/MvcPerformance/HelloWorldCode > Mvc.txt ab.exe -n100000 -c20 http://localhost/aspnetperf/api/HelloWorld > WebApi.txt I ran each of these tests 3 times and took the average score for Requests/second, with the machine otherwise idle. I did see a bit of variance when running many tests but the values used here are the medians. Part of this has to do with the fact I ran the tests on my local machine - result would probably more consistent running the load test on a separate machine hitting across the network. I ran these tests locally on my laptop which is a Dell XPS with quad core Sandibridge I7-2720QM @ 2.20ghz and a fast SSD drive on Windows 8. CPU load during tests ran to about 70% max across all 4 cores (IOW, it wasn't overloading the machine). Ideally you can try running these tests on a separate machine hitting the local machine. If I remember correctly IIS 7 and 8 on client OSs don't throttle so the performance here should be Results Ok, let's cut straight to the chase. Below are the results from the tests… It's not surprising that the handler was fastest. But it was a bit surprising to me that the next fastest was WebForms and especially Web Forms with markup over a CodeBehind page. WebPages also fared fairly well. MVC and WebAPI are a little slower and the slowest by far is WCF REST (which again I find surprising). As mentioned at the start the raw throughput tests are not overly practical as they don't test scripting performance for the HTML generation engines or serialization performances of the data engines. All it really does is give you an idea of the raw throughput for the technology from time of request to reaching the endpoint and returning minimal text data back to the client which indicates full round trip performance. But it's still interesting to see that Web Forms performs better in throughput than either MVC, WebAPI or WebPages. It'd be interesting to try this with a few pages that actually have some parsing logic on it, but that's beyond the scope of this throughput test. But what's also amazing about this test is the sheer amount of traffic that a laptop computer is handling. Even the slowest tech managed 5700 requests a second, which is one hell of a lot of requests if you extrapolate that out over a 24 hour period. Remember these are not static pages, but dynamic requests that are being served. Another test - JSON Data Service Results The second test I used a JSON result from several of the technologies. I didn't bother running WebForms and WebPages through this test since that doesn't make a ton of sense to return data from the them (OTOH, returning text from the APIs didn't make a ton of sense either :-) In these tests I have a small Person class that gets serialized and then returned to the client. The Person class looks like this: public class Person { public Person() { Id = 10; Name = "Rick"; Entered = DateTime.Now; } public int Id { get; set; } public string Name { get; set; } public DateTime Entered { get; set; } } Here are the updated handler classes that use Person: Handler public class Handler : IHttpHandler { public void ProcessRequest(HttpContext context) { var action = context.Request.QueryString["action"]; if (action == "json") JsonRequest(context); else TextRequest(context); } public void TextRequest(HttpContext context) { context.Response.ContentType = "text/plain"; context.Response.Write("Hello World. Time is: " + DateTime.Now.ToString()); } public void JsonRequest(HttpContext context) { var json = JsonConvert.SerializeObject(new Person(), Formatting.None); context.Response.ContentType = "application/json"; context.Response.Write(json); } public bool IsReusable { get { return true; } } } This code adds a little logic to check for a action query string and route the request to an optional JSON result method. To generate JSON, I'm using the same JSON.NET serializer (JsonConvert.SerializeObject) used in Web API to create the JSON response. WCF REST   [ServiceContract(Namespace = "")] [AspNetCompatibilityRequirements(RequirementsMode = AspNetCompatibilityRequirementsMode.Allowed)] public class WcfService { [OperationContract] [WebGet] public Stream HelloWorld() { var data = Encoding.Unicode.GetBytes("Hello World " + DateTime.Now.ToString()); var ms = new MemoryStream(data); // Add your operation implementation here return ms; } [OperationContract] [WebGet(ResponseFormat=WebMessageFormat.Json,BodyStyle=WebMessageBodyStyle.WrappedRequest)] public Person HelloWorldJson() { // Add your operation implementation here return new Person(); } } For WCF REST all I have to do is add a method with the Person result type.   ASP.NET MVC public class MvcPerformanceController : Controller { // // GET: /MvcPerformance/ public ActionResult Index() { return View(); } public ActionResult HelloWorldCode() { return new ContentResult() { Content = "Hello World. Time is: " + DateTime.Now.ToString() }; } public JsonResult HelloWorldJson() { return Json(new Person(), JsonRequestBehavior.AllowGet); } } For MVC all I have to do for a JSON response is return a JSON result. ASP.NET internally uses JavaScriptSerializer. ASP.NET WebAPI public class WebApiPerformanceController : ApiController { [HttpGet] public HttpResponseMessage HelloWorldCode() { return new HttpResponseMessage() { Content = new StringContent("Hello World. Time is: " + DateTime.Now.ToString(), Encoding.UTF8, "text/plain") }; } [HttpGet] public Person HelloWorldJson() { return new Person(); } [HttpGet] public HttpResponseMessage HelloWorldJson2() { var response = new HttpResponseMessage(HttpStatusCode.OK); response.Content = new ObjectContent<Person>(new Person(), GlobalConfiguration.Configuration.Formatters.JsonFormatter); return response; } } Testing and Results To run these data requests I used the following ab.exe commands:REM JSON RESPONSES ab.exe -n100000 -c20 http://localhost/aspnetperf/Handler.ashx?action=json > HandlerJson.txt ab.exe -n100000 -c20 http://localhost/aspnetperf/MvcPerformance/HelloWorldJson > MvcJson.txt ab.exe -n100000 -c20 http://localhost/aspnetperf/api/HelloWorldJson > WebApiJson.txt ab.exe -n100000 -c20 http://localhost/AspNetPerf/WcfService.svc/HelloWorldJson > WcfJson.txt The results from this test run are a bit interesting in that the WebAPI test improved performance significantly over returning plain string content. Here are the results:   The performance for each technology drops a little bit except for WebAPI which is up quite a bit! From this test it appears that WebAPI is actually significantly better performing returning a JSON response, rather than a plain string response. Snag with Apache Benchmark and 'Length Failures' I ran into a little snag with Apache Benchmark, which was reporting failures for my Web API requests when serializing. As the graph shows performance improved significantly from with JSON results from 5580 to 6530 or so which is a 15% improvement (while all others slowed down by 3-8%). However, I was skeptical at first because the WebAPI test reports showed a bunch of errors on about 10% of the requests. Check out this report: Notice the Failed Request count. What the hey? Is WebAPI failing on roughly 10% of requests when sending JSON? Turns out: No it's not! But it took some sleuthing to figure out why it reports these failures. At first I thought that Web API was failing, and so to make sure I re-ran the test with Fiddler attached and runiisning the ab.exe test by using the -X switch: ab.exe -n100 -c10 -X localhost:8888 http://localhost/aspnetperf/api/HelloWorldJson which showed that indeed all requests where returning proper HTTP 200 results with full content. However ab.exe was reporting the errors. After some closer inspection it turned out that the dates varying in size altered the response length in dynamic output. For example: these two results: {"Id":10,"Name":"Rick","Entered":"2012-09-04T10:57:24.841926-10:00"} {"Id":10,"Name":"Rick","Entered":"2012-09-04T10:57:24.8519262-10:00"} are different in length for the number which results in 68 and 69 bytes respectively. The same URL produces different result lengths which is what ab.exe reports. I didn't notice at first bit the same is happening when running the ASHX handler with JSON.NET result since it uses the same serializer that varies the milliseconds. Moral: You can typically ignore Length failures in Apache Benchmark and when in doubt check the actual output with Fiddler. Note that the other failure values are accurate though. Another interesting Side Note: Perf drops over Time As I was running these tests repeatedly I was finding that performance steadily dropped from a startup peak to a 10-15% lower stable level. IOW, with Web API I'd start out with around 6500 req/sec and in subsequent runs it keeps dropping until it would stabalize somewhere around 5900 req/sec occasionally jumping lower. For these tests this is why I did the IIS RESET and warm up for individual tests. This is a little puzzling. Looking at Process Monitor while the test are running memory very quickly levels out as do handles and threads, on the first test run. Subsequent runs everything stays stable, but the performance starts going downwards. This applies to all the technologies - Handlers, Web Forms, MVC, Web API - curious to see if others test this and see similar results. Doing an IISRESET then resets everything and performance starts off at peak again… Summary As I stated at the outset, these were informal to satiate my curiosity not to prove that any technology is better or even faster than another. While there clearly are differences in performance the differences (other than WCF REST which was by far the slowest and the raw handler which was by far the highest) are relatively minor, so there is no need to feel that any one technology is a runaway standout in raw performance. Choosing a technology is about more than pure performance but also about the adequateness for the job and the easy of implementation. The strengths of each technology will make for any minor performance difference we see in these tests. However, to me it's important to get an occasional reality check and compare where new technologies are heading. Often times old stuff that's been optimized and designed for a time of less horse power can utterly blow the doors off newer tech and simple checks like this let you compare. Luckily we're seeing that much of the new stuff performs well even in V1.0 which is great. To me it was very interesting to see Web API perform relatively badly with plain string content, which originally led me to think that Web API might not be properly optimized just yet. For those that caught my Tweets late last week regarding WebAPI's slow responses was with String content which is in fact considerably slower. Luckily where it counts with serialized JSON and XML WebAPI actually performs better. But I do wonder what would make generic string content slower than serialized code? This stresses another point: Don't take a single test as the final gospel and don't extrapolate out from a single set of tests. Certainly Twitter can make you feel like a fool when you post something immediate that hasn't been fleshed out a little more <blush>. Egg on my face. As a result I ended up screwing around with this for a few hours today to compare different scenarios. Well worth the time… I hope you found this useful, if not for the results, maybe for the process of quickly testing a few requests for performance and charting out a comparison. Now onwards with more serious stuff… Resources Source Code on GitHub Apache HTTP Server Project (ab.exe is part of the binary distribution)© Rick Strahl, West Wind Technologies, 2005-2012Posted in ASP.NET  Web Api   Tweet !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

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• is this correct use of jquery's document.ready?

  - by Haroldo

  The below file contains all the javascript for a page. Performance is the highest priority. Is this the most efficient way? Do all click/hover events need to to be inside the doc.ready? //DOCUMENT.READY EVENTS //--------------------------------------------------------------------------- $(function(){ // mark events as not loaded $('.event').data({ t1_loaded: false, t2_loaded: false, t3_loaded: false, art_req: false }); //mark no events have been clicked $('#wrap_right').data('first_click_made', false); // cal-block event click $('#cal_blocks div.event, #main_search div.event').live('click', function(){ var id = $(this).attr('id').split('e')[1]; event_click(id); }); // jq history $.historyInit(function(hash){ if(hash) { event_click(hash); } }); // search $('#search_input').typeWatch ({ callback: function(){ var q = $('#search_input').attr('value'); search(q); }, wait : 350, highlight : false, captureLength : 2 }); $('#search_input, #main_search div.close').live('click',function(){ $(this).attr("value",""); reset_srch_res(); }); $('#main_search').easydrag(); $('a.dialog').colorbox(); //TAB CLICK -> AJAX LOAD TAB $('#wrap_right .rs_tabs li').live('click', function(){ $this = $(this); var id = $('#wrap_right').data('curr_event'); var tab = parseInt($this.attr('rel')); //hide other tabs $('#rs_'+id+' .tab_body').hide(); //mark current(clicked) tab $('#rs_'+id+' .rs_tabs li').removeClass('curr_tab'); $this.addClass('curr_tab'); //is the tab already loaded and hidden? var loaded = $('#e'+id).data('t'+tab+'_loaded'); //console.log('id: '+id+', tab: '+tab+', loaded: '+loaded); if(loaded === true) { $('#rs_'+id+' .tab'+tab).show(); if (tab == 2) { art_requested(id); } } else { //ajax load in the tab $('#rs_'+id+' .tab'+tab).load('index_files/tab'+tab+'.php?id='+id, function(){ //after load callback if (tab == 1) { $('#rs_' + id + ' .frame').delay(600).fadeIn(600) }; if (tab == 2) { art_requested(id); } }); //mark tab as loaded $('#e'+id).data('t'+tab+'_loaded', true); //fade in current tab $('#rs_'+id+' .tab'+tab).show(); } }) }); // LOAD RS FUNCTIONS //--------------------------------------------------------------------------- function event_click(id){ window.location.hash = id; //mark current event $('#wrap_right').data('curr_event', id); //hide any other events if($('#wrap_right').data('first_click_made') === true) { $('#wrap_right .event_rs').hide(); } //frame loaded before? var loaded = $('#e'+id).data('t1_loaded'); if(loaded === true) { $('#rs_'+id).show(); } else { create_frame(id); } //open/load the first tab $('#rs_'+id+' .t1').click(); $('#wrap_right').data('first_click_made', true); $('#cal_blocks').scrollTo('#e'+id, 1000, {offset: {top:-220, left:0}}); } function create_frame(id){ var art = ents[id].art; var ven = ents[id].ven; var type = ents[id].gig_club; //select colours for tabs if(type == 1){ var label = 'gig';} else if(type == 2){ var label = 'club';} else if(type == 0){ var label = 'other';} //create rs container for this event var frame = '<div id="rs_'+id+'" class="event_rs">'; frame += '<div class="title_strip"></div>'; frame += '<div class="rs_tabs"><ul class="'+label+'"><li class="t1 nav_tab1 curr_tab hand" rel="1"></li>'; if(art == 1){frame += '<li class="t2 nav_tab2 hand" rel="2"></li>';} if(ven == 1){frame += '<li class="t3 nav_tab2 hand" rel="3"></li>';} frame += '</ul></div>'; frame += '<div id="rs_content"><div class="tab_body tab1" ></div>'; if(art == 1){frame += '<div class="tab_body tab2"></div>';} if(ven == 1){frame += '<div class="tab_body tab3"></div>';} frame += '</div>'; frame += '</div>'; $('#wrap_right').append(frame); //mark current event in cal-blocks $('#cal_blocks .event_sel').removeClass('event_sel'); $('#e'+id).addClass('event_sel'); if($('#wrap_right').data('first_click_made') === false) { $('#wrap_right').delay(500).slideDown(); $('#rs_'+id+' .rs_tabs').delay(800).fadeIn(); } }; // FUNCTIONS //--------------------------------------------------------------------------- //check to see if an artist has been requested function art_requested(id){ var art_req = $('#e'+id).data('art_req'); if(art_req !== false) { //alert(art_req); $('#art_'+art_req).click(); } } //scroll artist panes smoothly (scroll bars cause glitches otherwise) function before (){ if(!IE){$('#art_scrollable .bio_etc').css('overflow','-moz-scrollbars-none');} } function after (){ if(!IE){$('#art_scrollable .bio_etc').css('overflow','auto');} } function prep_media_carousel(){ //youtube and soundcloud player $("#rs_content .yt_scrollable a.yt, #rs_content .yt_scrollable a.sc").colorbox({ overlayClose : false, opacity : 0 }); $("#colorbox").easydrag(true); $('#cboxOverlay').remove(); } function make_carousel_scrollable(unique_id){ $('#scroll_'+unique_id).scrollable({ size:1, clickable:false, nextPage:'#r_'+unique_id, prevPage:'#l_'+unique_id }); } function check_l_r_arrows(total, counter, art_id){ //left arrow if(counter > 0) { $('#l_'+art_id).show(); $('#l_'+art_id+'_inactive').hide(); } else { $('#l_'+art_id).hide(); $('#l_'+art_id+'_inactive').show(); } //right arrow if(counter < total-3) { $('#r_'+art_id).show(); $('#r_'+art_id+'_inactive').hide(); } else { $('#r_'+art_id).hide(); $('#r_'+art_id+'_inactive').show(); } } function reset_srch_res(){ $('#main_search').fadeOut(400).children().remove(); } function search(q){ $.ajax({ type: 'GET', url: 'index_files/srch/search.php?q='+q, success: function(e) { $('#main_search').html(e).show(); } }); }

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• High Load mysql on Debian server stops every day. Why?

  - by Oleg Abrazhaev

  I have Debian server with 32 gb memory. And there is apache2, memcached and nginx on this server. Memory load always on maximum. Only 500m free. Most memory leak do MySql. Apache only 70 clients configured, other services small memory usage. When mysql use all memory it stops. And nothing works, need mysql reboot. Mysql configured use maximum 24 gb memory. I have hight weight InnoDB bases. (400000 rows, 30 gb). And on server multithread daemon, that makes many inserts in this tables, thats why InnoDB. There is my mysql config. [mysqld] # # * Basic Settings # default-time-zone = "+04:00" user = mysql pid-file = /var/run/mysqld/mysqld.pid socket = /var/run/mysqld/mysqld.sock port = 3306 basedir = /usr datadir = /var/lib/mysql tmpdir = /tmp language = /usr/share/mysql/english skip-external-locking default-time-zone='Europe/Moscow' # # Instead of skip-networking the default is now to listen only on # localhost which is more compatible and is not less secure. # # * Fine Tuning # #low_priority_updates = 1 concurrent_insert = ALWAYS wait_timeout = 600 interactive_timeout = 600 #normal key_buffer_size = 2024M #key_buffer_size = 1512M #70% hot cache key_cache_division_limit= 70 #16-32 max_allowed_packet = 32M #1-16M thread_stack = 8M #40-50 thread_cache_size = 50 #orderby groupby sort sort_buffer_size = 64M #same myisam_sort_buffer_size = 400M #temp table creates when group_by tmp_table_size = 3000M #tables in memory max_heap_table_size = 3000M #on disk open_files_limit = 10000 table_cache = 10000 join_buffer_size = 5M # This replaces the startup script and checks MyISAM tables if needed # the first time they are touched myisam-recover = BACKUP #myisam_use_mmap = 1 max_connections = 200 thread_concurrency = 8 # # * Query Cache Configuration # #more ignored query_cache_limit = 50M query_cache_size = 210M #on query cache query_cache_type = 1 # # * Logging and Replication # # Both location gets rotated by the cronjob. # Be aware that this log type is a performance killer. #log = /var/log/mysql/mysql.log # # Error logging goes to syslog. This is a Debian improvement :) # # Here you can see queries with especially long duration log_slow_queries = /var/log/mysql/mysql-slow.log long_query_time = 1 log-queries-not-using-indexes # # The following can be used as easy to replay backup logs or for replication. # note: if you are setting up a replication slave, see README.Debian about # other settings you may need to change. #server-id = 1 #log_bin = /var/log/mysql/mysql-bin.log server-id = 1 log-bin = /var/lib/mysql/mysql-bin #replicate-do-db = gate log-bin-index = /var/lib/mysql/mysql-bin.index log-error = /var/lib/mysql/mysql-bin.err relay-log = /var/lib/mysql/relay-bin relay-log-info-file = /var/lib/mysql/relay-bin.info relay-log-index = /var/lib/mysql/relay-bin.index binlog_do_db = 24avia expire_logs_days = 10 max_binlog_size = 100M read_buffer_size = 4024288 innodb_buffer_pool_size = 5000M innodb_flush_log_at_trx_commit = 2 innodb_thread_concurrency = 8 table_definition_cache = 2000 group_concat_max_len = 16M #binlog_do_db = gate #binlog_ignore_db = include_database_name # # * BerkeleyDB # # Using BerkeleyDB is now discouraged as its support will cease in 5.1.12. #skip-bdb # # * InnoDB # # InnoDB is enabled by default with a 10MB datafile in /var/lib/mysql/. # Read the manual for more InnoDB related options. There are many! # You might want to disable InnoDB to shrink the mysqld process by circa 100MB. #skip-innodb # # * Security Features # # Read the manual, too, if you want chroot! # chroot = /var/lib/mysql/ # # For generating SSL certificates I recommend the OpenSSL GUI "tinyca". # # ssl-ca=/etc/mysql/cacert.pem # ssl-cert=/etc/mysql/server-cert.pem # ssl-key=/etc/mysql/server-key.pem [mysqldump] quick quote-names max_allowed_packet = 500M [mysql] #no-auto-rehash # faster start of mysql but no tab completition [isamchk] key_buffer = 32M key_buffer_size = 512M # # * NDB Cluster # # See /usr/share/doc/mysql-server-*/README.Debian for more information. # # The following configuration is read by the NDB Data Nodes (ndbd processes) # not from the NDB Management Nodes (ndb_mgmd processes). # # [MYSQL_CLUSTER] # ndb-connectstring=127.0.0.1 # # * IMPORTANT: Additional settings that can override those from this file! # The files must end with '.cnf', otherwise they'll be ignored. # !includedir /etc/mysql/conf.d/ Please, help me make it stable. Memory used /etc/mysql # free total used free shared buffers cached Mem: 32930800 32766424 164376 0 139208 23829196 -/+ buffers/cache: 8798020 24132780 Swap: 33553328 44660 33508668 Maybe my problem not in memory, but MySQL stops every day. As you can see, cache memory free 24 gb. Thank to Michael Hampton? for correction. Load overage on server 3.5. Maybe hdd or another problem? Maybe my config not optimal for 30gb InnoDB ? I'm already try mysqltuner and tunung-primer.sh , but they marked all green. Mysqltuner output mysqltuner >> MySQLTuner 1.0.1 - Major Hayden <[email protected]> >> Bug reports, feature requests, and downloads at http://mysqltuner.com/ >> Run with '--help' for additional options and output filtering -------- General Statistics -------------------------------------------------- [--] Skipped version check for MySQLTuner script [OK] Currently running supported MySQL version 5.5.24-9-log [OK] Operating on 64-bit architecture -------- Storage Engine Statistics ------------------------------------------- [--] Status: -Archive -BDB -Federated +InnoDB -ISAM -NDBCluster [--] Data in MyISAM tables: 112G (Tables: 1528) [--] Data in InnoDB tables: 39G (Tables: 340) [--] Data in PERFORMANCE_SCHEMA tables: 0B (Tables: 17) [!!] Total fragmented tables: 344 -------- Performance Metrics ------------------------------------------------- [--] Up for: 8h 18m 33s (14M q [478.333 qps], 259K conn, TX: 9B, RX: 5B) [--] Reads / Writes: 84% / 16% [--] Total buffers: 10.5G global + 81.1M per thread (200 max threads) [OK] Maximum possible memory usage: 26.3G (83% of installed RAM) [OK] Slow queries: 1% (259K/14M) [!!] Highest connection usage: 100% (201/200) [OK] Key buffer size / total MyISAM indexes: 1.5G/5.6G [OK] Key buffer hit rate: 100.0% (6B cached / 1M reads) [OK] Query cache efficiency: 74.3% (8M cached / 11M selects) [OK] Query cache prunes per day: 0 [OK] Sorts requiring temporary tables: 0% (0 temp sorts / 247K sorts) [!!] Joins performed without indexes: 106025 [!!] Temporary tables created on disk: 49% (351K on disk / 715K total) [OK] Thread cache hit rate: 99% (249 created / 259K connections) [!!] Table cache hit rate: 15% (2K open / 13K opened) [OK] Open file limit used: 15% (3K/20K) [OK] Table locks acquired immediately: 99% (4M immediate / 4M locks) [!!] InnoDB data size / buffer pool: 39.4G/5.9G -------- Recommendations ----------------------------------------------------- General recommendations: Run OPTIMIZE TABLE to defragment tables for better performance MySQL started within last 24 hours - recommendations may be inaccurate Reduce or eliminate persistent connections to reduce connection usage Adjust your join queries to always utilize indexes Temporary table size is already large - reduce result set size Reduce your SELECT DISTINCT queries without LIMIT clauses Increase table_cache gradually to avoid file descriptor limits Variables to adjust: max_connections (> 200) wait_timeout (< 600) interactive_timeout (< 600) join_buffer_size (> 5.0M, or always use indexes with joins) table_cache (> 10000) innodb_buffer_pool_size (>= 39G) Mysql primer output -- MYSQL PERFORMANCE TUNING PRIMER -- - By: Matthew Montgomery - MySQL Version 5.5.24-9-log x86_64 Uptime = 0 days 8 hrs 20 min 50 sec Avg. qps = 478 Total Questions = 14369568 Threads Connected = 16 Warning: Server has not been running for at least 48hrs. It may not be safe to use these recommendations To find out more information on how each of these runtime variables effects performance visit: http://dev.mysql.com/doc/refman/5.5/en/server-system-variables.html Visit http://www.mysql.com/products/enterprise/advisors.html for info about MySQL's Enterprise Monitoring and Advisory Service SLOW QUERIES The slow query log is enabled. Current long_query_time = 1.000000 sec. You have 260626 out of 14369701 that take longer than 1.000000 sec. to complete Your long_query_time seems to be fine BINARY UPDATE LOG The binary update log is enabled Binlog sync is not enabled, you could loose binlog records during a server crash WORKER THREADS Current thread_cache_size = 50 Current threads_cached = 45 Current threads_per_sec = 0 Historic threads_per_sec = 0 Your thread_cache_size is fine MAX CONNECTIONS Current max_connections = 200 Current threads_connected = 11 Historic max_used_connections = 201 The number of used connections is 100% of the configured maximum. You should raise max_connections INNODB STATUS Current InnoDB index space = 214 M Current InnoDB data space = 39.40 G Current InnoDB buffer pool free = 0 % Current innodb_buffer_pool_size = 5.85 G Depending on how much space your innodb indexes take up it may be safe to increase this value to up to 2 / 3 of total system memory MEMORY USAGE Max Memory Ever Allocated : 23.46 G Configured Max Per-thread Buffers : 15.84 G Configured Max Global Buffers : 7.54 G Configured Max Memory Limit : 23.39 G Physical Memory : 31.40 G Max memory limit seem to be within acceptable norms KEY BUFFER Current MyISAM index space = 5.61 G Current key_buffer_size = 1.47 G Key cache miss rate is 1 : 5578 Key buffer free ratio = 77 % Your key_buffer_size seems to be fine QUERY CACHE Query cache is enabled Current query_cache_size = 200 M Current query_cache_used = 101 M Current query_cache_limit = 50 M Current Query cache Memory fill ratio = 50.59 % Current query_cache_min_res_unit = 4 K MySQL won't cache query results that are larger than query_cache_limit in size SORT OPERATIONS Current sort_buffer_size = 64 M Current read_rnd_buffer_size = 256 K Sort buffer seems to be fine JOINS Current join_buffer_size = 5.00 M You have had 106606 queries where a join could not use an index properly You have had 8 joins without keys that check for key usage after each row join_buffer_size >= 4 M This is not advised You should enable "log-queries-not-using-indexes" Then look for non indexed joins in the slow query log. OPEN FILES LIMIT Current open_files_limit = 20210 files The open_files_limit should typically be set to at least 2x-3x that of table_cache if you have heavy MyISAM usage. Your open_files_limit value seems to be fine TABLE CACHE Current table_open_cache = 10000 tables Current table_definition_cache = 2000 tables You have a total of 1910 tables You have 2151 open tables. The table_cache value seems to be fine TEMP TABLES Current max_heap_table_size = 2.92 G Current tmp_table_size = 2.92 G Of 366426 temp tables, 49% were created on disk Perhaps you should increase your tmp_table_size and/or max_heap_table_size to reduce the number of disk-based temporary tables Note! BLOB and TEXT columns are not allow in memory tables. If you are using these columns raising these values might not impact your ratio of on disk temp tables. TABLE SCANS Current read_buffer_size = 3 M Current table scan ratio = 2846 : 1 read_buffer_size seems to be fine TABLE LOCKING Current Lock Wait ratio = 1 : 185 You may benefit from selective use of InnoDB. If you have long running SELECT's against MyISAM tables and perform frequent updates consider setting 'low_priority_updates=1'

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• C++ scoping error

  - by Pat Murray

  I have the following code: #include "Student.h" #include "SortedList.h" using namespace std; int main() { // points to the sorted list object SortedList *list = new SortedList; //This is line 17 // array to hold 100 student objects Student create[100]; int num = 100000; // holds different ID numbers // fills an array with 100 students of various ID numbers for (Student &x : create) { x = new Student(num); num += 100; } // insert all students into the sorted list for (Student &x : create) list->insert(&x); delete list; return 0; } And I keep getting the compile time error: main.cpp: In function ‘int main()’: main.cpp:17: error: ‘SortedList’ was not declared in this scope main.cpp:17: error: ‘list’ was not declared in this scope main.cpp:17: error: expected type-specifier before ‘SortedList’ main.cpp:17: error: expected `;' before ‘SortedList’ main.cpp:20: error: ‘Student’ was not declared in this scope main.cpp:20: error: expected primary-expression before ‘]’ token main.cpp:20: error: expected `;' before ‘create’ main.cpp:25: error: expected `;' before ‘x’ main.cpp:31: error: expected primary-expression before ‘for’ main.cpp:31: error: expected `;' before ‘for’ main.cpp:31: error: expected primary-expression before ‘for’ main.cpp:31: error: expected `)' before ‘for’ main.cpp:31: error: expected `;' before ‘x’ main.cpp:34: error: type ‘<type error>’ argument given to ‘delete’, expected pointer main.cpp:35: error: expected primary-expression before ‘return’ main.cpp:35: error: expected `)' before ‘return’ My Student.cpp and SortedList.cpp files compile just fine. They both also include .h files. I just do not understand why I get an error on that line. It seems to be a small issue though. Any insight would be appreciated. UPDATE1: I originally had .h files included, but i changed it when trying to figure out the cause of the error. The error remains with the .h files included though. UPDATE2: SortedList.h #ifndef SORTEDLIST_H #define SORTEDLIST_H #include "Student.h" /* * SortedList class * * A SortedList is an ordered collection of Students. The Students are ordered * from lowest numbered student ID to highest numbered student ID. */ class SortedList { public: SortedList(); // Constructs an empty list. SortedList(const SortedList & l); // Constructs a copy of the given student object ~SortedList(); // Destructs the sorted list object const SortedList & operator=(const SortedList & l); // Defines the assignment operator between two sorted list objects bool insert(Student *s); // If a student with the same ID is not already in the list, inserts // the given student into the list in the appropriate place and returns // true. If there is already a student in the list with the same ID // then the list is not changed and false is returned. Student *find(int studentID); // Searches the list for a student with the given student ID. If the // student is found, it is returned; if it is not found, NULL is returned. Student *remove(int studentID); // Searches the list for a student with the given student ID. If the // student is found, the student is removed from the list and returned; // if no student is found with the given ID, NULL is returned. // Note that the Student is NOT deleted - it is returned - however, // the removed list node should be deleted. void print() const; // Prints out the list of students to standard output. The students are // printed in order of student ID (from smallest to largest), one per line private: // Since Listnodes will only be used within the SortedList class, // we make it private. struct Listnode { Student *student; Listnode *next; }; Listnode *head; // pointer to first node in the list static void freeList(Listnode *L); // Traverses throught the linked list and deallocates each node static Listnode *copyList(Listnode *L); // Returns a pointer to the first node within a particular list }; #endif #ifndef STUDENT_H #define STUDENT_H Student.h #ifndef STUDENT_H #define STUDENT_H /* * Student class * * A Student object contains a student ID, the number of credits, and an * overall GPA. */ class Student { public: Student(); // Constructs a default student with an ID of 0, 0 credits, and 0.0 GPA. Student(int ID); // Constructs a student with the given ID, 0 credits, and 0.0 GPA. Student(int ID, int cr, double grPtAv); // Constructs a student with the given ID, number of credits, and GPA.\ Student(const Student & s); // Constructs a copy of another student object ~Student(); // Destructs a student object const Student & operator=(const Student & rhs); // Defines the assignment operator between two student objects // Accessors int getID() const; // returns the student ID int getCredits() const; // returns the number of credits double getGPA() const; // returns the GPA // Other methods void update(char grade, int cr); // Updates the total credits and overall GPA to take into account the // additions of the given letter grade in a course with the given number // of credits. The update is done by first converting the letter grade // into a numeric value (A = 4.0, B = 3.0, etc.). The new GPA is // calculated using the formula: // // (oldGPA * old_total_credits) + (numeric_grade * cr) // newGPA = --------------------------------------------------- // old_total_credits + cr // // Finally, the total credits is updated (to old_total_credits + cr) void print() const; // Prints out the student to standard output in the format: // ID,credits,GPA // Note: the end-of-line is NOT printed after the student information private: int studentID; int credits; double GPA; }; #endif

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• Save object states in .data or attr - Performance vs CSS?

  - by Neysor

  In response to my answer yesterday about rotating an Image, Jamund told me to use .data() instead of .attr() First I thought that he is right, but then I thought about a bigger context... Is it always better to use .data() instead of .attr()? I looked in some other posts like what-is-better-data-or-attr or jquery-data-vs-attrdata The answers were not satisfactory for me... So I moved on and edited the example by adding CSS. I thought it might be useful to make a different Style on each image if it rotates. My style was the following: .rp[data-rotate="0"] { border:10px solid #FF0000; } .rp[data-rotate="90"] { border:10px solid #00FF00; } .rp[data-rotate="180"] { border:10px solid #0000FF; } .rp[data-rotate="270"] { border:10px solid #00FF00; } Because design and coding are often separated, it could be a nice feature to handle this in CSS instead of adding this functionality into JavaScript. Also in my case the data-rotate is like a special state which the image currently has. So in my opinion it make sense to represent it within the DOM. I also thought this could be a case where it is much better to save with .attr() then with .data(). Never mentioned before in one of the posts I read. But then i thought about performance. Which function is faster? I built my own test following: <!DOCTYPE HTML> <html> <head> <title>test</title> <script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.7.1/jquery.min.js"></script> <script type="text/javascript"> function runfirst(dobj,dname){ console.log("runfirst "+dname); console.time(dname+"-attr"); for(i=0;i<10000;i++){ dobj.attr("data-test","a"+i); } console.timeEnd(dname+"-attr"); console.time(dname+"-data"); for(i=0;i<10000;i++){ dobj.data("data-test","a"+i); } console.timeEnd(dname+"-data"); } function runlast(dobj,dname){ console.log("runlast "+dname); console.time(dname+"-data"); for(i=0;i<10000;i++){ dobj.data("data-test","a"+i); } console.timeEnd(dname+"-data"); console.time(dname+"-attr"); for(i=0;i<10000;i++){ dobj.attr("data-test","a"+i); } console.timeEnd(dname+"-attr"); } $().ready(function() { runfirst($("#rp4"),"#rp4"); runfirst($("#rp3"),"#rp3"); runlast($("#rp2"),"#rp2"); runlast($("#rp1"),"#rp1"); }); </script> </head> <body> <div id="rp1">Testdiv 1</div> <div id="rp2" data-test="1">Testdiv 2</div> <div id="rp3">Testdiv 3</div> <div id="rp4" data-test="1">Testdiv 4</div> </body> </html> It should also show if there is a difference with a predefined data-test or not. One result was this: runfirst #rp4 #rp4-attr: 515ms #rp4-data: 268ms runfirst #rp3 #rp3-attr: 505ms #rp3-data: 264ms runlast #rp2 #rp2-data: 260ms #rp2-attr: 521ms runlast #rp1 #rp1-data: 284ms #rp1-attr: 525ms So the .attr() function did always need more time than the .data() function. This is an argument for .data() I thought. Because performance is always an argument! Then I wanted to post my results here with some questions, and in the act of writing I compared with the questions Stack Overflow showed me (similar titles) And true enough, there was one interesting post about performance I read it and run their example. And now I am confused! This test showed that .data() is slower then .attr() !?!! Why is that so? First I thought it is because of a different jQuery library so I edited it and saved the new one. But the result wasn't changing... So now my questions to you: Why are there some differences in the performance in these two examples? Would you prefer to use data- HTML5 attributes instead of data, if it represents a state? Although it wouldn't be needed at the time of coding? Why - Why not? Now depending on the performance: Would performance be an argument for you using .attr() instead of data, if it shows that .attr() is better? Although data is meant to be used for .data()? UPDATE 1: I did see that without overhead .data() is much faster. Misinterpreted the data :) But I'm more interested in my second question. :) Would you prefer to use data- HTML5 attributes instead of data, if it represents a state? Although it wouldn't be needed at the time of coding? Why - Why not? Are there some other reasons you can think of, to use .attr() and not .data()? e.g. interoperability? because .data() is jquery style and HTML Attributes can be read by all... UPDATE 2: As we see from T.J Crowder's speed test in his answer attr is much faster then data! which is again confusing me :) But please! Performance is an argument, but not the highest! So give answers to my other questions please too!

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• How can I fix my program from crashing in C++?

  - by Rachel

  I'm very new to programming and I am trying to write a program that adds and subtracts polynomials. My program sometimes works, but most of the time, it randomly crashes and I have no idea why. It's very buggy and has other problems I'm trying to fix, but I am unable to really get any further coding done since it crashes. I'm completely new here but any help would be greatly appreciated. Here's the code: #include <iostream> #include <cstdlib> using namespace std; int getChoice(void); class Polynomial10 { private: double* coef; int degreePoly; public: Polynomial10(int max); //Constructor for a new Polynomial10 int getDegree(){return degreePoly;}; void print(); //Print the polynomial in standard form void read(); //Read a polynomial from the user void add(const Polynomial10& pol); //Add a polynomial void multc(double factor); //Multiply the poly by scalar void subtract(const Polynomial10& pol); //Subtract polynom }; void Polynomial10::read() { cout << "Enter degree of a polynom between 1 and 10 : "; cin >> degreePoly; cout << "Enter space separated coefficients starting from highest degree" << endl; for (int i = 0; i <= degreePoly; i++) { cin >> coef[i]; } } void Polynomial10::print() { for(int i=0;i<=degreePoly;i++) { if(coef[i] == 0) { cout << ""; } else if(i>=0) { if(coef[i] > 0 && i!=0) { cout<<"+"; } if((coef[i] != 1 && coef[i] != -1) || i == degreePoly) { cout << coef[i]; } if((coef[i] != 1 && coef[i] != -1) && i!=degreePoly ) { cout << "*"; } if (i != degreePoly && coef[i] == -1) { cout << "-"; } if(i != degreePoly) { cout << "x"; } if ((degreePoly - i) != 1 && i != degreePoly) { cout << "^"; cout << degreePoly-i; } } } } void Polynomial10::add(const Polynomial10& pol) { for(int i = 0; i<degreePoly; i++) { int degree = degreePoly; coef[degreePoly-i] += pol.coef[degreePoly-(i+1)]; } } void Polynomial10::subtract(const Polynomial10& pol) { for(int i = 0; i<degreePoly; i++) { coef[degreePoly-i] -= pol.coef[degreePoly-(i+1)]; } } void Polynomial10::multc(double factor) { //int degreePoly=0; //double coef[degreePoly]; cout << "Enter the scalar multiplier : "; cin >> factor; for(int i = 0; i<degreePoly; i++) { coef[i] *= factor; } }; Polynomial10::Polynomial10(int max) { degreePoly=max; coef = new double[degreePoly]; for(int i; i<degreePoly; i++) { coef[i] = 0; } } int main() { int choice; Polynomial10 p1(1),p2(1); cout << endl << "CGS 2421: The Polynomial10 Class" << endl << endl << endl; cout << "0. Quit\n" << "1. Enter polynomial\n" << "2. Print polynomial\n" << "3. Add another polynomial\n" << "4. Subtract another polynomial\n" << "5. Multiply by scalar\n\n"; int choiceFirst = getChoice(); if (choiceFirst != 1) { cout << "Enter a Polynomial first!"; } if (choiceFirst == 1) {choiceFirst = choice;} while(choice != 0) { switch(choice) { case 0: return 0; case 1: p1.read(); break; case 2: p1.print(); break; case 3: p2.read(); p1.add(p2); cout << "Updated Polynomial: "; p1.print(); break; case 4: p2.read(); p1.subtract(p2); cout << "Updated Polynomial: "; p1.print(); break; case 5: p1.multc(10); cout << "Updated Polynomial: "; p1.print(); break; } choice = getChoice(); } return 0; } int getChoice(void) { int c; cout << "\nEnter your choice : "; cin >> c; return c; }

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• questions regarding the use of A* with the 15-square puzzle

  - by Cheeso

  I'm trying to build an A* solver for a 15-square puzzle. The goal is to re-arrange the tiles so that they appear in their natural positions. You can only slide one tile at a time. Each possible state of the puzzle is a node in the search graph. For the h(x) function, I am using an aggregate sum, across all tiles, of the tile's dislocation from the goal state. In the above image, the 5 is at location 0,0, and it belongs at location 1,0, therefore it contributes 1 to the h(x) function. The next tile is the 11, located at 0,1, and belongs at 2,2, therefore it contributes 3 to h(x). And so on. EDIT: I now understand this is what they call "Manhattan distance", or "taxicab distance". I have been using a step count for g(x). In my implementation, for any node in the state graph, g is just +1 from the prior node's g. To find successive nodes, I just examine where I can possibly move the "hole" in the puzzle. There are 3 neighbors for the puzzle state (aka node) that is displayed: the hole can move north, west, or east. My A* search sometimes converges to a solution in 20s, sometimes 180s, and sometimes doesn't converge at all (waited 10 mins or more). I think h is reasonable. I'm wondering if I've modeled g properly. In other words, is it possible that my A* function is reaching a node in the graph via a path that is not the shortest path? Maybe have I not waited long enough? Maybe 10 minutes is not long enough? For a fully random arrangement, (assuming no parity problems), What is the average number of permutations an A* solution will examine? (please show the math) I'm going to look for logic errors in my code, but in the meantime, Any tips? (ps: it's done in Javascript). Also, no, this isn't CompSci homework. It's just a personal exploration thing. I'm just trying to learn Javascript. EDIT: I've found that the run-time is highly depend upon the heuristic. I saw the 10x factor applied to the heuristic from the article someone mentioned, and it made me wonder - why 10x? Why linear? Because this is done in javascript, I could modify the code to dynamically update an html table with the node currently being considered. This allowd me to peek at the algorithm as it was progressing. With a regular taxicab distance heuristic, I watched as it failed to converge. There were 5's and 12's in the top row, and they kept hanging around. I'd see 1,2,3,4 creep into the top row, but then they'd drop out, and other numbers would move up there. What I was hoping to see was 1,2,3,4 sort of creeping up to the top, and then staying there. I thought to myself - this is not the way I solve this personally. Doing this manually, I solve the top row, then the 2ne row, then the 3rd and 4th rows sort of concurrently. So I tweaked the h(x) function to more heavily weight the higher rows and the "lefter" columns. The result was that the A* converged much more quickly. It now runs in 3 minutes instead of "indefinitely". With the "peek" I talked about, I can see the smaller numbers creep up to the higher rows and stay there. Not only does this seem like the right thing, it runs much faster. I'm in the process of trying a bunch of variations. It seems pretty clear that A* runtime is very sensitive to the heuristic. Currently the best heuristic I've found uses the summation of dislocation * ((4-i) + (4-j)) where i and j are the row and column, and dislocation is the taxicab distance. One interesting part of the result I got: with a particular heuristic I find a path very quickly, but it is obviously not the shortest path. I think this is because I am weighting the heuristic. In one case I got a path of 178 steps in 10s. My own manual effort produce a solution in 87 moves. (much more than 10s). More investigation warranted. So the result is I am seeing it converge must faster, and the path is definitely not the shortest. I have to think about this more. Code: var stop = false; function Astar(start, goal, callback) { // start and goal are nodes in the graph, represented by // an array of 16 ints. The goal is: [1,2,3,...14,15,0] // Zero represents the hole. // callback is a method to call when finished. This runs a long time, // therefore we need to use setTimeout() to break it up, to avoid // the browser warning like "Stop running this script?" // g is the actual distance traveled from initial node to current node. // h is the heuristic estimate of distance from current to goal. stop = false; start.g = start.dontgo = 0; // calcHeuristic inserts an .h member into the array calcHeuristicDistance(start); // start the stack with one element var closed = []; // set of nodes already evaluated. var open = [ start ]; // set of nodes to evaluate (start with initial node) var iteration = function() { if (open.length==0) { // no more nodes. Fail. callback(null); return; } var current = open.shift(); // get highest priority node // update the browser with a table representation of the // node being evaluated $("#solution").html(stateToString(current)); // check solution returns true if current == goal if (checkSolution(current,goal)) { // reconstructPath just records the position of the hole // through each node var path= reconstructPath(start,current); callback(path); return; } closed.push(current); // get the set of neighbors. This is 3 or fewer nodes. // (nextStates is optimized to NOT turn directly back on itself) var neighbors = nextStates(current, goal); for (var i=0; i<neighbors.length; i++) { var n = neighbors[i]; // skip this one if we've already visited it if (closed.containsNode(n)) continue; // .g, .h, and .previous get assigned implicitly when // calculating neighbors. n.g is nothing more than // current.g+1 ; // add to the open list if (!open.containsNode(n)) { // slot into the list, in priority order (minimum f first) open.priorityPush(n); n.previous = current; } } if (stop) { callback(null); return; } setTimeout(iteration, 1); }; // kick off the first iteration iteration(); return null; }

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• How Should I Generate Trade Statistics For CouchDB/Rails3 Application?

  - by James

  My Problem: I am trying to developing a web application for currency traders. The application allows traders to enter or upload information about their trades and I want to calculate a wide variety of statistics based on what the user entered. Now, normally I would use a relational database for this, but I have two requirements that don't fit well with a relational database so I am attempting to use couchdb. Those two problems are: 1) Primarily, I have a companion desktop application that users will be able to work with and replicate to the site using couchdb's awesome replication feature and 2) I would like to allow users to be able to define their own custom things to track about trades and generate results based off of what they enter. The schema less nature of couch seems perfect here, but it may end up being harder than it sounds. (I already know couch requires you to define views in advance and such so I was just planning on sticking all the custom attributes in an array and then emitting the array in the view and further processing from there.) What I Am Doing: Right now I am just emitting each trade in couch keyed by each user's system and querying with the key of the system to get an array of trades per system. Simple. I am not using a reduce function currently to calculate any stats because I couldn't figure out how to get everything I need without getting a reduce overflow error. Here is an example of rows that are getting emitted from couch: {"total_rows":134,"offset":0,"rows":[ {"id":"5b1dcd47221e160d8721feee4ccc64be", "key":["80e40ba2fa43589d57ec3f1d19db41e6","2010/05/14 04:32:37 +0000"], null, "doc":{ "_id":"5b1dcd47221e160d8721feee4ccc64be", "_rev":"1-bc9fe763e2637694df47d6f5efb58e5b", "couchrest-type":"Trade", "system":"80e40ba2fa43589d57ec3f1d19db41e6", "pair":"EUR/USD", "direction":"Buy", "entry":12600, "exit":12700, "stop_loss":12500, "profit_target":12700, "status":"Closed", "slug":"101332132375", "custom_tracking": [{"name":"signal", "value":"Pin Bar"}] "updated_at":"2010/05/14 04:32:37 +0000", "created_at":"2010/05/14 04:32:37 +0000", "result":100}} ]} In my rails 3 controller I am basically just populating an array of trades such as the one above and then extracting out the relevant data into smaller arrays that I can compute my statistics on. Here is my show action for the page that I want to display the stats and all the trades: def show @trades = Trade.by_system(:startkey => [@system.id], :endkey => [@system.id, Time.now ]) @trades.each do |trade| if trade.result > 0 @winning_trades << trade.result elsif trade.result < 0 @losing_trades << trade.result else @breakeven_trades << trade.result end if trade.direction == "Buy" @long_trades << trade.result else @short_trades << trade.result end if trade["custom_tracking"] != nil @custom_tracking << {"result" => trade.result, "variables" => trade["custom_tracking"]} end end end I am omitting some other stuff that is going on, but that is the gist of what I am doing. Then I am calculating stuff in the view layer to produce some results: <% winning_long_trades = @long_trades.reject {|trade| trade <= 0 } %> <% winning_short_trades = @short_trades.reject {|trade| trade <= 0 } %> <ul> <li>Total Trades: <%= @trades.count %></li> <li>Winners: <%= @winning_trades.size %></li> <li>Biggest Winner (Pips): <%= @winning_trades.max %></li> <li>Average Win(Pips): <%= @winning_trades.sum/@winning_trades.size %></li> <li>Losers: <%= @losing_trades.size %></li> <li>Biggest Loser (Pips): <%= @losing_trades.min %></li> <li>Average Loss(Pips): <%= @losing_trades.sum/@losing_trades.size %></li> <li>Breakeven Trades: <%= @breakeven_trades.size %></li> <li>Long Trades: <%= @long_trades.size %></li> <li>Winning Long Trades: <%= winning_long_trades.size %></li> <li>Short Trades: <%= @short_trades.size %></li> <li>Winning Short Trades: <%= winning_short_trades.size %></li> <li>Total Pips: <%= @winning_trades.sum + @losing_trades.sum %></li> <li>Win Rate (%): <%= @winning_trades.size/@trades.count.to_f * 100 %></li> </ul> This produces the following results, which aside from a few things is exactly what I want: Total Trades: 134 Winners: 70 Biggest Winner (Pips): 1488 Average Win(Pips): 440 Losers: 58 Biggest Loser (Pips): -516 Average Loss(Pips): -225 Breakeven Trades: 6 Long Trades: 125 Winning Long Trades: 67 Short Trades: 9 Winning Short Trades: 3 Total Pips: 17819 Win Rate (%): 52.23880597014925 What I Am Wondering- Finally The Actual Questions: I am starting to get really skeptical of how well this method will work when a user has 5,000 trades instead of just 134 like in this example. I anticipate most users will only have somewhere under 200 per year, but some users may have a couple thousand trades per year. Probably no more than 5,000 per year. It seems to work ok now, but the page load times are already getting a tad high for my tastes. (About 800ms to generate the page according to rails logs with about a 250ms of that spent in the view layer.) I will end up caching this page I am sure, but I still need the regenerate the page each time a trade is updated and I can't afford to have this be too slow. Sooo..... Is doing something similar here possible with a straight couchdb reduce function? I am assuming handing this off to couch would possibly help with larger data sets. I couldn't figure out how, but I suppose that doesn't mean it isn't possible. If possible, any hints will be helpful. Could I use a list function if a reduce was not available due to reduce constraints? Are couchdb list functions suitable for this type of calculations? Anyone have any idea of whether or not list functions perform well? Any hints what one would look like for the type of calculations I am trying to achieve? I thought about other options such as running the calculations at the time each trade was saved or nightly if I had to and saving the results to a statistics doc that I could then query so that all the processing was done ahead of time. I would like this to be the last resort because then I can't really filter out trades by time periods dynamically like I would really like to. (I want to have a slider that a user can slide to only show trades from that time period using the startkey and endkey in couchdb if I can.) If I should continue running the calculations inside the rails app at the time of the page view, what can I do to improve my current implementation. I am new to rails, couch and programming in general. I am sure that I could be doing something better here. Do I need to create an array for each stat or is there a better way to do that. I guess I just would really like some advice on how to tackle this problem. I want to keep the page generation time minimal since I anticipate these being some of the highest trafficked pages. My gut is that I will need to offload the statistics calculation to either couch or run the stats in advance of when they are called, but I am not sure. Lastly: Like I mentioned above, one of the primary reasons for using couch is to allow users to define their own things to track per trade. Getting the data into couch is no problem, but how would I be able to take the custom_tracking array and find how many winning trades for each named tracking attribute. If anyone can give me any hints to the possibility of doing this that would be great. Thanks a bunch. Would really appreciate any help. Willing to fork out some $$$ if someone wants to take on the problem for me. (Don't know if that is allowed on stack overflow or not.)

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• ?12c database ????Adaptive Execution Plans ????????

  - by Liu Maclean(???)

  12c R1 ????SQL??????- Adaptive Execution Plans ????????,???????optimizer ??????(runtime)???????????????, ????????????????????? SQL???????? ????????????, ?????????????????????????????????????????????????????????????adaptive plan ????????????????????????????????????,?????subplan???????????????????? ??????, ???????? ???????????????,?????????, ?????? ???????????????”???”????, ???????????????????buffer ???????  ????????????,?????,??????????????????? ???optimizer ?????????????????????????,?????????????????????????????????????????plan???? ??12C?????????????, ???????????????????,?????? ???????????? ????????????2???: Dynamic Plans????: ???????????????????????;??????,???optimizer??????????subplans??????????????, ???????????????????,?????????????? Reoptimization????: ?Dynamic Plans????,Reoptimization??????????????????????Reoptimization??,?????????????????????????,??reoptimization????? OPTIMIZER_ADAPTIVE_REPORTING_ONLY ???? report-only????????????????TRUE,?????????report-only????,???????????????,??????????????? Dynamic Plans ??????????????,????????????????????????, ?????????????,???????????,????????????????????????????????????????? ?????????????final plan??????????????default plan, ??final plan?default plan???????,????????????? subplan ???????????????,???????????????????????? ??????,???????statistics collector ?buffer???????????statistics collector?????????????????,???????????????????????????? ?????????????????????????????????????????,??????????,?????????????? ???????????,???????buffer???? ???????????????,?????????????????????????????,??????buffer,??????final plan? ????????,???????????????????????,????????????????? ?V$SQL??????IS_RESOLVED_DYNAMIC_PLAN??????????final plan???default plan? ??????dynamic plan ???????SQL PLAN directives?????? declare cursor PLAN_DIRECTIVE_IDS is select directive_id from DBA_SQL_PLAN_DIRECTIVES; begin for z in PLAN_DIRECTIVE_IDS loop DBMS_SPD.DROP_SQL_PLAN_DIRECTIVE(z.directive_id); end loop; end; / explain plan for select /*MALCEAN*/ product_name from oe.order_items o, oe.product_information p where o.unit_price=15 and quantity>1 and p.product_id=o.product_id; select * from table(dbms_xplan.display()); Plan hash value: 1255158658 www.askmaclean.com ------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 4 | 128 | 7 (0)| 00:00:01 | | 1 | NESTED LOOPS | | | | | | | 2 | NESTED LOOPS | | 4 | 128 | 7 (0)| 00:00:01 | |* 3 | TABLE ACCESS FULL | ORDER_ITEMS | 4 | 48 | 3 (0)| 00:00:01 | |* 4 | INDEX UNIQUE SCAN | PRODUCT_INFORMATION_PK | 1 | | 0 (0)| 00:00:01 | | 5 | TABLE ACCESS BY INDEX ROWID| PRODUCT_INFORMATION | 1 | 20 | 1 (0)| 00:00:01 | ------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 3 - filter("O"."UNIT_PRICE"=15 AND "QUANTITY">1) 4 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID") alter session set events '10053 trace name context forever,level 1'; OR alter session set events 'trace[SQL_Plan_Directive] disk highest'; select /*MALCEAN*/ product_name from oe.order_items o, oe.product_information p where o.unit_price=15 and quantity>1 and p.product_id=o.product_id; ---------------------------------------------------------------+-----------------------------------+ | Id | Operation | Name | Rows | Bytes | Cost | Time | ---------------------------------------------------------------+-----------------------------------+ | 0 | SELECT STATEMENT | | | | 7 | | | 1 | HASH JOIN | | 4 | 128 | 7 | 00:00:01 | | 2 | NESTED LOOPS | | | | | | | 3 | NESTED LOOPS | | 4 | 128 | 7 | 00:00:01 | | 4 | STATISTICS COLLECTOR | | | | | | | 5 | TABLE ACCESS FULL | ORDER_ITEMS | 4 | 48 | 3 | 00:00:01 | | 6 | INDEX UNIQUE SCAN | PRODUCT_INFORMATION_PK| 1 | | 0 | | | 7 | TABLE ACCESS BY INDEX ROWID | PRODUCT_INFORMATION | 1 | 20 | 1 | 00:00:01 | | 8 | TABLE ACCESS FULL | PRODUCT_INFORMATION | 1 | 20 | 1 | 00:00:01 | ---------------------------------------------------------------+-----------------------------------+ Predicate Information: ---------------------- 1 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID") 5 - filter(("O"."UNIT_PRICE"=15 AND "QUANTITY">1)) 6 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID") ===================================== SPD: BEGIN context at statement level ===================================== Stmt: ******* UNPARSED QUERY IS ******* SELECT /*+ OPT_ESTIMATE (@"SEL$1" JOIN ("P"@"SEL$1" "O"@"SEL$1") ROWS=13.000000 ) OPT_ESTIMATE (@"SEL$1" TABLE "O"@"SEL$1" ROWS=13.000000 ) */ "P"."PRODUCT_NAME" "PRODUCT_NAME" FROM "OE"."ORDER_ITEMS" "O","OE"."PRODUCT_INFORMATION" "P" WHERE "O"."UNIT_PRICE"=15 AND "O"."QUANTITY">1 AND "P"."PRODUCT_ID"="O"."PRODUCT_ID" Objects referenced in the statement PRODUCT_INFORMATION[P] 92194, type = 1 ORDER_ITEMS[O] 92197, type = 1 Objects in the hash table Hash table Object 92197, type = 1, ownerid = 6573730143572393221: No Dynamic Sampling Directives for the object Hash table Object 92194, type = 1, ownerid = 17822962561575639002: No Dynamic Sampling Directives for the object Return code in qosdInitDirCtx: ENBLD =================================== SPD: END context at statement level =================================== ======================================= SPD: BEGIN context at query block level ======================================= Query Block SEL$1 (#0) Return code in qosdSetupDirCtx4QB: NOCTX ===================================== SPD: END context at query block level ===================================== SPD: Return code in qosdDSDirSetup: NOCTX, estType = TABLE SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92197, objtyp = 1, vecsize = 6, colvec = [4, 5, ], fid = 2896834833840853267 SPD: Inserted felem, fid=2896834833840853267, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = YES, keep = YES SPD: qosdCreateFindingSingTab retCode = CREATED, fid = 2896834833840853267 SPD: qosdCreateDirCmp retCode = CREATED, fid = 2896834833840853267 SPD: Return code in qosdDSDirSetup: NOCTX, estType = TABLE SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = JOIN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SKIP_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = JOIN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92197, objtyp = 1, vecsize = 6, colvec = [4, 5, ], fid = 2896834833840853267 SPD: Modified felem, fid=2896834833840853267, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = YES, keep = YES SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92194, objtyp = 1, vecsize = 2, colvec = [1, ], fid = 5618517328604016300 SPD: Modified felem, fid=5618517328604016300, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = NO, keep = NO SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92194, objtyp = 1, vecsize = 2, colvec = [1, ], fid = 1142802697078608149 SPD: Modified felem, fid=1142802697078608149, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = NO, keep = NO SPD: Generating finding id: type = 1, reason = 2, objcnt = 2, obItr = 0, objid = 92194, objtyp = 1, vecsize = 0, obItr = 1, objid = 92197, objtyp = 1, vecsize = 0, fid = 1437680122701058051 SPD: Modified felem, fid=1437680122701058051, ftype = 1, freason = 2, dtype = 0, dstate = 0, dflag = 0, ver = NO, keep = NO select * from table(dbms_xplan.display_cursor(format=>'report')) ; ????report????adaptive plan Adaptive plan: ------------- This cursor has an adaptive plan, but adaptive plans are enabled for reporting mode only.  The plan that would be executed if adaptive plans were enabled is displayed below. ------------------------------------------------------------------------------------------ | Id  | Operation          | Name                | Rows  | Bytes | Cost (%CPU)| Time     | ------------------------------------------------------------------------------------------ |   0 | SELECT STATEMENT   |                     |       |       |     7 (100)|          | |*  1 |  HASH JOIN         |                     |     4 |   128 |     7   (0)| 00:00:01 | |*  2 |   TABLE ACCESS FULL| ORDER_ITEMS         |     4 |    48 |     3   (0)| 00:00:01 | |   3 |   TABLE ACCESS FULL| PRODUCT_INFORMATION |     1 |    20 |     1   (0)| 00:00:01 | ------------------------------------------------------------------------------------------ SQL> select SQL_ID,IS_RESOLVED_DYNAMIC_PLAN,sql_text from v$SQL WHERE SQL_TEXT like '%MALCEAN%' and sql_text not like '%like%'; SQL_ID IS -------------------------- -- SQL_TEXT -------------------------------------------------------------------------------- 6ydj1bn1bng17 Y select /*MALCEAN*/ product_name from oe.order_items o, oe.product_information p where o.unit_price=15 and quantity>1 and p.product_id=o.product_id ???? explain plan for ????default plan, ??????optimizer???final plan,??V$SQL.IS_RESOLVED_DYNAMIC_PLAN???Y,????????????? DBA_SQL_PLAN_DIRECTIVES?????????????SQL PLAN DIRECTIVES, ???12c? ???MMON?????DML ???column usage??????????,????SMON??? MMON????SGA??PLAN DIRECTIVES??? ?????DBMS_SPD.flush_sql_plan_directive???? select directive_id,type,reason from DBA_SQL_PLAN_DIRECTIVES / DIRECTIVE_ID TYPE REASON ----------------------------------- -------------------------------- ----------------------------- 10321283028317893030 DYNAMIC_SAMPLING JOIN CARDINALITY MISESTIMATE 4757086536465754886 DYNAMIC_SAMPLING JOIN CARDINALITY MISESTIMATE 16085268038103121260 DYNAMIC_SAMPLING JOIN CARDINALITY MISESTIMATE SQL> set pages 9999 SQL> set lines 300 SQL> col state format a5 SQL> col subobject_name format a11 SQL> col col_name format a11 SQL> col object_name format a13 SQL> select d.directive_id, o.object_type, o.object_name, o.subobject_name col_name, d.type, d.state, d.reason 2 from dba_sql_plan_directives d, dba_sql_plan_dir_objects o 3 where d.DIRECTIVE_ID=o.DIRECTIVE_ID 4 and o.object_name in ('ORDER_ITEMS') 5 order by d.directive_id; DIRECTIVE_ID OBJECT_TYPE OBJECT_NAME COL_NAME TYPE STATE REASON ------------ ------------ ------------- ----------- -------------------------------- ----- ------------------------------------- --- 1.8156E+19 COLUMN ORDER_ITEMS UNIT_PRICE DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE 1.8156E+19 TABLE ORDER_ITEMS DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE 1.8156E+19 COLUMN ORDER_ITEMS QUANTITY DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE DBA_SQL_PLAN_DIRECTIVES????? _BASE_OPT_DIRECTIVE ? _BASE_OPT_FINDING SELECT d.dir_own#, d.dir_id, d.f_id, decode(type, 1, 'DYNAMIC_SAMPLING', 'UNKNOWN'), decode(state, 1, 'NEW', 2, 'MISSING_STATS', 3, 'HAS_STATS', 4, 'CANDIDATE', 5, 'PERMANENT', 6, 'DISABLED', 'UNKNOWN'), decode(bitand(flags, 1), 1, 'YES', 'NO'), cast(d.created as timestamp), cast(d.last_modified as timestamp), -- Please see QOSD_DAYS_TO_UPDATE and QOSD_PLUS_SECONDS for more details -- about 6.5 cast(d.last_used as timestamp) - NUMTODSINTERVAL(6.5, 'day') FROM sys.opt_directive$ d ??dbms_spd??? SQL PLAN DIRECTIVES, SQL PLAN DIRECTIVES???retention ???53?: Package: DBMS_SPD This package provides subprograms for managing Sql Plan Directives(SPD). SPD are objects generated automatically by Oracle server. For example, if server detects that the single table cardinality estimated by optimizer is off from the actual number of rows returned when accessing the table, it will automatically create a directive to do dynamic sampling for the table. When any Sql statement referencing the table is compiled, optimizer will perform dynamic sampling for the table to get more accurate estimate. Notes: DBMSL_SPD is a invoker-rights package. The invoker requires ADMINISTER SQL MANAGEMENT OBJECT privilege for executing most of the subprograms of this package. Also the subprograms commit the current transaction (if any), perform the operation and commit it again. DBA view dba_sql_plan_directives shows all the directives created in the system and the view dba_sql_plan_dir_objects displays the objects that are included in the directives. -- Default value for SPD_RETENTION_WEEKS SPD_RETENTION_WEEKS_DEFAULT CONSTANT varchar2(4) := '53'; | STATE : NEW : Newly created directive. | : MISSING_STATS : The directive objects do not | have relevant stats. | : HAS_STATS : The objects have stats. | : PERMANENT : A permanent directive. Server | evaluated effectiveness and these | directives are useful. | | AUTO_DROP : YES : Directive will be dropped | automatically if not | used for SPD_RETENTION_WEEKS. | This is the default behavior. | NO : Directive will not be dropped | automatically. Procedure: flush_sql_plan_directive This procedure allows manually flushing the Sql Plan directives that are automatically recorded in SGA memory while executing sql statements. The information recorded in SGA are periodically flushed by oracle background processes. This procedure just provides a way to flush the information manually. ????”_optimizer_dynamic_plans”(enable dynamic plans)????????,???TRUE??DYNAMIC PLAN? ???FALSE???????????? ????,Dynamic Plan????????????Nested Loop?Hash Join???case ,????????Nested loop???????????HASH JOIN,?HASH JOIN????????????????? ????????subplan?????,???? pass?? ?join method???,?????STATISTICS COLLECTOR???cardinality?,???????HASH JOIN?????Nested Loop,????????????subplan?????access path; ???????Sales??????????????????,????HASH JOIN,??SUBPLAN??customers?????????;?????Nested Loop,???????cust_id?????Range Scan+Access by Rowid? Cardinality feedback Cardinality feedback????????11.2????,????????re-optimization???;  ???????????,Cardinality feedback?????????????????????????? ???????????????????,?????????????????,??????????Cardinality feedback????????????? ????????????????????????? ??????????????Cardinality feedback ??: ????????,???????????,??????????,????????????????selectivity ??? ????????????: ??????,?????????????????????????????????,??????????????????? ????????????????????????????????????????,?????????????????????????? ?????????,???????????????,?????????? ??????????Cardinality ????,??????join Cardinality ????????? Cardinality feedback???????cursor?,?Cursor???aged out????? SELECT /*+ gather_plan_statistics */ product_name FROM order_items o, product_information p WHERE o.unit_price = 15 AND quantity > 1 AND p.product_id = o.product_id Plan hash value: 1553478007 ---------------------------------------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | OMem | 1Mem | Used-Mem | ---------------------------------------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 13 |00:00:00.01 | 24 | 20 | | | | |* 1 | HASH JOIN | | 1 | 4 | 13 |00:00:00.01 | 24 | 20 | 2061K| 2061K| 429K (0)| |* 2 | TABLE ACCESS FULL| ORDER_ITEMS | 1 | 4 | 13 |00:00:00.01 | 7 | 6 | | | | | 3 | TABLE ACCESS FULL| PRODUCT_INFORMATION | 1 | 1 | 288 |00:00:00.01 | 17 | 14 | | | | ---------------------------------------------------------------------------------------------------------------------------------------- SELECT /*+ gather_plan_statistics */ product_name FROM order_items o, product_information p WHERE o.unit_price = 15 AND quantity > 1 AND p.product_id = o.product_id Plan hash value: 1553478007 ------------------------------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | OMem | 1Mem | Used-Mem | ------------------------------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 13 |00:00:00.01 | 24 | | | | |* 1 | HASH JOIN | | 1 | 13 | 13 |00:00:00.01 | 24 | 2061K| 2061K| 413K (0)| |* 2 | TABLE ACCESS FULL| ORDER_ITEMS | 1 | 13 | 13 |00:00:00.01 | 7 | | | | | 3 | TABLE ACCESS FULL| PRODUCT_INFORMATION | 1 | 288 | 288 |00:00:00.01 | 17 | | | | ------------------------------------------------------------------------------------------------------------------------------- Note ----- - statistics feedback used for this statement SQL> select count(*) from v$SQL where SQL_ID='cz0hg2zkvd10y'; COUNT(*) ---------- 2 SQL>select sql_ID,USE_FEEDBACK_STATS FROM V$SQL_SHARED_CURSOR where USE_FEEDBACK_STATS ='Y'; SQL_ID U ------------- - cz0hg2zkvd10y Y ????????Cardinality feedback????,???????????????????????????,????????????order_items???????? ????2??????plan hash value??(??????????),?????2????child cursor??????gather_plan_statistics???actual : A-ROWS  estimate :E-ROWS????????? Automatic Re-optimization ???dynamic plan, Re-optimization???????????????  ?  ??????????????? ????????????????????????????????  ???????????,??????????????, ???????????????????? ???????????  Re-optimization??, ????????????????????? Re-optimization????dynamic plan??????????  dynamic plan????????????????????, ???????????????????? ????,??????????join order ??????????????,?????????????join order????? ??????,????????Re-optimization, ??Re-optimization ??????????????????? ?Oracle database 12c?,join statistics?????????????????????,??????????????????????Re-optimization???????????adaptive cursor sharing????? ????????????????,???????????? ????? ???????statistics collectors ????????????????????Re-optimization??????2?????????????,???????????????? ??????????????Re-optimization?????,?????????????????????? ???v$SQL??????IS_REOPTIMIZABLE?????????????????????Re-optimization,??????????Re-optimization???,?????Re-optimization ,???????reporting????? IS_REOPTIMIZABLE VARCHAR2(1) This columns shows whether the next execution matching this child cursor will trigger a reoptimization. The values are:   Y: If the next execution will trigger a reoptimization R: If the child cursor contains reoptimization information, but will not trigger reoptimization because the cursor was compiled in reporting mode N: If the child cursor has no reoptimization information ??1: select plan_table_output from table (dbms_xplan.display_cursor('gwf99gfnm0t7g',NULL,'ALLSTATS LAST')); SQL_ID  gwf99gfnm0t7g, child number 0 ------------------------------------- SELECT /*+ SFTEST gather_plan_statistics */ o.order_id, v.product_name FROM  orders o,   ( SELECT order_id, product_name FROM order_items o, product_information p     WHERE  p.product_id = o.product_id AND list_price < 50 AND min_price < 40  ) v WHERE o.order_id = v.order_id Plan hash value: 1906736282 ------------------------------------------------------------------------------------------------------------------------------------------- | Id  | Operation             | Name                | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  |  OMem |  1Mem | Used-Mem | ------------------------------------------------------------------------------------------------------------------------------------------- |   0 | SELECT STATEMENT      |                     |      1 |        |    269 |00:00:00.02 |    1336 |     18 |       |       |          | |   1 |  NESTED LOOPS         |                     |      1 |      1 |    269 |00:00:00.02 |    1336 |     18 |       |       |          | |   2 |   MERGE JOIN CARTESIAN|                     |      1 |      4 |   9135 |00:00:00.02 |      34 |     15 |       |       |          | |*  3 |    TABLE ACCESS FULL  | PRODUCT_INFORMATION |      1 |      1 |     87 |00:00:00.01 |      33 |     14 |       |       |          | |   4 |    BUFFER SORT        |                     |     87 |    105 |   9135 |00:00:00.01 |       1 |      1 |  4096 |  4096 | 4096  (0)| |   5 |     INDEX FULL SCAN   | ORDER_PK            |      1 |    105 |    105 |00:00:00.01 |       1 |      1 |       |       |          | |*  6 |   INDEX UNIQUE SCAN   | ORDER_ITEMS_UK      |   9135 |      1 |    269 |00:00:00.01 |    1302 |      3 |       |       |          | ------------------------------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): ---------------------------------------------------    3 - filter(("MIN_PRICE"<40 AND "LIST_PRICE"<50))    6 - access("O"."ORDER_ID"="ORDER_ID" AND "P"."PRODUCT_ID"="O"."PRODUCT_ID") SQL_ID  gwf99gfnm0t7g, child number 1 ------------------------------------- SELECT /*+ SFTEST gather_plan_statistics */ o.order_id, v.product_name FROM  orders o,   ( SELECT order_id, product_name FROM order_items o, product_information p     WHERE  p.product_id = o.product_id AND list_price < 50 AND min_price < 40  ) v WHERE o.order_id = v.order_id Plan hash value: 35479787 -------------------------------------------------------------------------------------------------------------------------------------------- | Id  | Operation              | Name                | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  |  OMem |  1Mem | Used-Mem | -------------------------------------------------------------------------------------------------------------------------------------------- |   0 | SELECT STATEMENT       |                     |      1 |        |    269 |00:00:00.01 |      63 |      3 |       |       |          | |   1 |  NESTED LOOPS          |                     |      1 |    269 |    269 |00:00:00.01 |      63 |      3 |       |       |          | |*  2 |   HASH JOIN            |                     |      1 |    313 |    269 |00:00:00.01 |      42 |      3 |  1321K|  1321K| 1234K (0)| |*  3 |    TABLE ACCESS FULL   | PRODUCT_INFORMATION |      1 |     87 |     87 |00:00:00.01 |      16 |      0 |       |       |          | |   4 |    INDEX FAST FULL SCAN| ORDER_ITEMS_UK      |      1 |    665 |    665 |00:00:00.01 |      26 |      3 |       |       |          | |*  5 |   INDEX UNIQUE SCAN    | ORDER_PK            |    269 |      1 |    269 |00:00:00.01 |      21 |      0 |       |       |          | -------------------------------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): ---------------------------------------------------    2 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID")    3 - filter(("MIN_PRICE"<40 AND "LIST_PRICE"<50))    5 - access("O"."ORDER_ID"="ORDER_ID") Note -----    - statistics feedback used for this statement    SQL> select IS_REOPTIMIZABLE,child_number FROM V$SQL  A where A.SQL_ID='gwf99gfnm0t7g'; IS CHILD_NUMBER -- ------------ Y             0 N             1    1* select child_number,other_xml From v$SQL_PLAN  where SQL_ID='gwf99gfnm0t7g' and other_xml is not nul SQL> / CHILD_NUMBER OTHER_XML ------------ --------------------------------------------------------------------------------            1 <other_xml><info type="cardinality_feedback">yes</info><info type="db_version">1              2.1.0.1</info><info type="parse_schema"><![CDATA["OE"]]></info><info type="plan_              hash">35479787</info><info type="plan_hash_2">3382491761</info><outline_data><hi              nt><![CDATA[IGNORE_OPTIM_EMBEDDED_HINTS]]></hint><hint><![CDATA[OPTIMIZER_FEATUR              ES_ENABLE('12.1.0.1')]]></hint><hint><![CDATA[DB_VERSION('12.1.0.1')]]></hint><h              int><![CDATA[ALL_ROWS]]></hint><hint><![CDATA[OUTLINE_LEAF(@"SEL$F5BB74E1")]]></              hint><hint><![CDATA[MERGE(@"SEL$2")]]></hint><hint><![CDATA[OUTLINE(@"SEL$1")]]>              </hint><hint><![CDATA[OUTLINE(@"SEL$2")]]></hint><hint><![CDATA[FULL(@"SEL$F5BB7              4E1" "P"@"SEL$2")]]></hint><hint><![CDATA[INDEX_FFS(@"SEL$F5BB74E1" "O"@"SEL$2"              ("ORDER_ITEMS"."ORDER_ID" "ORDER_ITEMS"."PRODUCT_ID"))]]></hint><hint><![CDATA[I              NDEX(@"SEL$F5BB74E1" "O"@"SEL$1" ("ORDERS"."ORDER_ID"))]]></hint><hint><![CDATA[              LEADING(@"SEL$F5BB74E1" "P"@"SEL$2" "O"@"SEL$2" "O"@"SEL$1")]]></hint><hint><![C              DATA[USE_HASH(@"SEL$F5BB74E1" "O"@"SEL$2")]]></hint><hint><![CDATA[USE_NL(@"SEL$              F5BB74E1" "O"@"SEL$1")]]></hint></outline_data></other_xml>            0 <other_xml><info type="db_version">12.1.0.1</info><info type="parse_schema"><![C              DATA["OE"]]></info><info type="plan_hash">1906736282</info><info type="plan_hash              _2">2579473118</info><outline_data><hint><![CDATA[IGNORE_OPTIM_EMBEDDED_HINTS]]>              </hint><hint><![CDATA[OPTIMIZER_FEATURES_ENABLE('12.1.0.1')]]></hint><hint><![CD              ATA[DB_VERSION('12.1.0.1')]]></hint><hint><![CDATA[ALL_ROWS]]></hint><hint><![CD              ATA[OUTLINE_LEAF(@"SEL$F5BB74E1")]]></hint><hint><![CDATA[MERGE(@"SEL$2")]]></hi              nt><hint><![CDATA[OUTLINE(@"SEL$1")]]></hint><hint><![CDATA[OUTLINE(@"SEL$2")]]>              </hint><hint><![CDATA[FULL(@"SEL$F5BB74E1" "P"@"SEL$2")]]></hint><hint><![CDATA[              INDEX(@"SEL$F5BB74E1" "O"@"SEL$1" ("ORDERS"."ORDER_ID"))]]></hint><hint><![CDATA              [INDEX(@"SEL$F5BB74E1" "O"@"SEL$2" ("ORDER_ITEMS"."ORDER_ID" "ORDER_ITEMS"."PROD              UCT_ID"))]]></hint><hint><![CDATA[LEADING(@"SEL$F5BB74E1" "P"@"SEL$2" "O"@"SEL$1              " "O"@"SEL$2")]]></hint><hint><![CDATA[USE_MERGE_CARTESIAN(@"SEL$F5BB74E1" "O"@"              SEL$1")]]></hint><hint><![CDATA[USE_NL(@"SEL$F5BB74E1" "O"@"SEL$2")]]></hint></o              utline_data></other_xml> ??2: SELECT /*+gather_plan_statistics*/ * FROM customers WHERE cust_state_province='CA' AND country_id='US'; SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'ALLSTATS LAST')); PLAN_TABLE_OUTPUT ------------------------------------- SQL_ID b74nw722wjvy3, child number 0 ------------------------------------- select /*+gather_plan_statistics*/ * from customers where CUST_STATE_PROVINCE='CA' and country_id='US' Plan hash value: 1683234692 -------------------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | -------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 29 |00:00:00.01 | 17 | 14 | |* 1 | TABLE ACCESS FULL| CUSTOMERS | 1 | 8 | 29 |00:00:00.01 | 17 | 14 | -------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter(("CUST_STATE_PROVINCE"='CA' AND "COUNTRY_ID"='US')) SELECT SQL_ID, CHILD_NUMBER, SQL_TEXT, IS_REOPTIMIZABLE FROM V$SQL WHERE SQL_TEXT LIKE 'SELECT /*+gather_plan_statistics*/%'; SQL_ID CHILD_NUMBER SQL_TEXT I ------------- ------------ ----------- - b74nw722wjvy3 0 select /*+g Y ather_plan_ statistics* / * from cu stomers whe re CUST_STA TE_PROVINCE ='CA' and c ountry_id=' US' EXEC DBMS_SPD.FLUSH_SQL_PLAN_DIRECTIVE; SELECT TO_CHAR(d.DIRECTIVE_ID) dir_id, o.OWNER, o.OBJECT_NAME, o.SUBOBJECT_NAME col_name, o.OBJECT_TYPE, d.TYPE, d.STATE, d.REASON FROM DBA_SQL_PLAN_DIRECTIVES d, DBA_SQL_PLAN_DIR_OBJECTS o WHERE d.DIRECTIVE_ID=o.DIRECTIVE_ID AND o.OWNER IN ('SH') ORDER BY 1,2,3,4,5; DIR_ID OWNER OBJECT_NAME COL_NAME OBJECT TYPE STATE REASON ----------------------- ----- ------------- ----------- ------ ---------------- ----- ------------------------ 1484026771529551585 SH CUSTOMERS COUNTRY_ID COLUMN DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE 1484026771529551585 SH CUSTOMERS CUST_STATE_ COLUMN DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY PROVINCE MISESTIMATE 1484026771529551585 SH CUSTOMERS TABLE DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE SELECT /*+gather_plan_statistics*/ * FROM customers WHERE cust_state_province='CA' AND country_id='US'; ELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'ALLSTATS LAST')); PLAN_TABLE_OUTPUT ------------------------------------- SQL_ID b74nw722wjvy3, child number 1 ------------------------------------- select /*+gather_plan_statistics*/ * from customers where CUST_STATE_PROVINCE='CA' and country_id='US' Plan hash value: 1683234692 ----------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | ----------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 29 |00:00:00.01 | 17 | |* 1 | TABLE ACCESS FULL| CUSTOMERS | 1 | 29 | 29 |00:00:00.01 | 17 | ----------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter(("CUST_STATE_PROVINCE"='CA' AND "COUNTRY_ID"='US')) Note ----- - cardinality feedback used for this statement SELECT SQL_ID, CHILD_NUMBER, SQL_TEXT, IS_REOPTIMIZABLE FROM V$SQL WHERE SQL_TEXT LIKE 'SELECT /*+gather_plan_statistics*/%'; SQL_ID CHILD_NUMBER SQL_TEXT I ------------- ------------ ----------- - b74nw722wjvy3 0 select /*+g Y ather_plan_ statistics* / * from cu stomers whe re CUST_STA TE_PROVINCE ='CA' and c ountry_id=' US' b74nw722wjvy3 1 select /*+g N ather_plan_ statistics* / * from cu stomers whe re CUST_STA TE_PROVINCE ='CA' and c ountry_id=' US' SELECT /*+gather_plan_statistics*/ CUST_EMAIL FROM CUSTOMERS WHERE CUST_STATE_PROVINCE='MA' AND COUNTRY_ID='US'; SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'ALLSTATS LAST')); PLAN_TABLE_OUTPUT ------------------------------------- SQL_ID 3tk6hj3nkcs2u, child number 0 ------------------------------------- Select /*+gather_plan_statistics*/ cust_email From customers Where cust_state_province='MA' And country_id='US' Plan hash value: 1683234692 ------------------------------------------------------------------------------- |Id | Operation | Name | Starts|E-Rows|A-Rows| A-Time |Buffers| ------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 2 |00:00:00.01| 16 | |*1 | TABLE ACCESS FULL| CUSTOMERS | 1 | 2| 2 |00:00:00.01| 16 | ----------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter(("CUST_STATE_PROVINCE"='MA' AND "COUNTRY_ID"='US')) Note ----- - dynamic sampling used for this statement (level=2) - 1 Sql Plan Directive used for this statement EXEC DBMS_SPD.FLUSH_SQL_PLAN_DIRECTIVE; SELECT TO_CHAR(d.DIRECTIVE_ID) dir_id, o.OWNER, o.OBJECT_NAME, o.SUBOBJECT_NAME col_name, o.OBJECT_TYPE, d.TYPE, d.STATE, d.REASON FROM DBA_SQL_PLAN_DIRECTIVES d, DBA_SQL_PLAN_DIR_OBJECTS o WHERE d.DIRECTIVE_ID=o.DIRECTIVE_ID AND o.OWNER IN ('SH') ORDER BY 1,2,3,4,5; DIR_ID OW OBJECT_NA COL_NAME OBJECT TYPE STATE REASON ------------------- -- --------- ---------- ------- --------------- ------------- ------------------------ 1484026771529551585 SH CUSTOMERS COUNTRY_ID COLUMN DYNAMIC_SAMPLING MISSING_STATS SINGLE TABLE CARDINALITY MISESTIMATE 1484026771529551585 SH CUSTOMERS CUST_STATE_ COLUMN DYNAMIC_SAMPLING MISSING_STATS SINGLE TABLE CARDINALITY PROVINCE MISESTIMATE 1484026771529551585 SH CUSTOMERS TABLE DYNAMIC_SAMPLING MISSING_STATS SINGLE TABLE CARDINALITY MISESTIMATE

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• background image not showing in html

  - by Registered User

  I am having following css <!DOCTYPE html > <html> <head> <meta charset="utf-8"> <title>Black Goose Bistro Summer Menu</title> <link href='http://fonts.googleapis.com/css?family=Marko+One' rel='stylesheet' type='text/css'> <style> body { font-family: Georgia, serif; font-size: 100%; line-height: 175%; margin: 0 15% 0; background-image:url(images/bullseye.png); } #header { margin-top: 0; padding: 3em 1em 2em 1em; text-align: center; } a { text-decoration: none; } h1 { font: bold 1.5em Georgia, serif; text-shadow: .1em .1em .2em gray; } h2 { font-size: 1em; text-transform: uppercase; letter-spacing: .5em; text-align: center; } dt { font-weight: bold; } strong { font-style: italic; } ul { list-style-type: none; margin: 0; padding: 0; } #info p { font-style: italic; } .price { font-family: Georgia, serif; font-style: italic; } p.warning, sup { font-size: small; } .label { font-weight: bold; font-variant: small-caps; font-style: normal; } h2 + p { text-align: center; font-style: italic; } ); </style> </head> <body> <div id="header"> <h1>Black Goose Bistro &bull; Summer Menu</h1> <div id="info"> <p>Baker's Corner, Seekonk, Massachusetts<br> <span class="label">Hours: Monday through Thursday:</span> 11 to 9, <span class="label">Friday and Saturday;</span> 11 to midnight</p> <ul> <li><a href="#appetizers">Appetizers</a></li> <li><a href="#entrees">Main Courses</a></li> <li><a href="#toast">Traditional Toasts</a></li> <li><a href="#dessert">Dessert Selection</a></li> </ul> </div> </div> <div id="appetizers"> <h2>Appetizers</h2> <p>This season, we explore the spicy flavors of the southwest in our appetizer collection.</p> <dl> <dt>Black bean purses</dt> <dd>Spicy black bean and a blend of mexican cheeses wrapped in sheets of phyllo and baked until golden. <span class="price">$3.95</span></dd> <dt class="newitem">Southwestern napoleons with lump crab &mdash; <strong>new item!</strong></dt> <dd>Layers of light lump crab meat, bean and corn salsa, and our handmade flour tortillas. <span class="price">$7.95</span></dd> </dl> </div> <div id="entrees"> <h2>Main courses</h2> <p>Big, bold flavors are the name of the game this summer. Allow us to assist you with finding the perfect wine.</p> <dl> <dt class="newitem">Jerk rotisserie chicken with fried plantains &mdash; <strong>new item!</strong></dt> <dd>Tender chicken slow-roasted on the rotisserie, flavored with spicy and fragrant jerk sauce and served with fried plantains and fresh mango. <strong>Very spicy.</strong> <span class="price">$12.95</span></dd> <dt>Shrimp sate kebabs with peanut sauce</dt> <dd>Skewers of shrimp marinated in lemongrass, garlic, and fish sauce then grilled to perfection. Served with spicy peanut sauce and jasmine rice. <span class="price">$12.95</span></dd> <dt>Grilled skirt steak with mushroom fricasee</dt> <dd>Flavorful skirt steak marinated in asian flavors grilled as you like it^*. Served over a blend of sauteed wild mushrooms with a side of blue cheese mashed potatoes. <span class="price">$16.95</span></dd> </dl> </div> <div id="toast"> <h2>Traditional Toasts</h2> <p>The ultimate comfort food, our traditional toast recipes are adapted from <a href="http://www.gutenberg.org/files/13923/13923-h/13923-h.htm"><cite>The Whitehouse Cookbook</cite></a> published in 1887.</p> <dl> <dt>Cream toast</dt> <dd>Simple cream sauce over highest quality toasted bread, baked daily. <span class="price">$3.95</span></dd> <dt>Mushroom toast</dt> <dd>Layers of light lump crab meat, bean and corn salsa, and our handmade flour tortillas. <span class="price">$6.95</span></dd> <dt>Nun's toast</dt> <dd>Onions and hard-boiled eggs in a cream sauce over buttered hot toast. <span class="price">$6.95</span></dd> <dt>Apple toast</dt> <dd>Sweet, cinnamon stewed apples over delicious buttery grilled bread. <span class="price">$6.95</span></dd> </dl> </div> <div id="dessert"> <h2>Dessert Selection</h2> <p>Be sure to save room for our desserts, made daily by our own <a href="http://www.jwu.edu/college.aspx?id=19510">Johnson & Wales</a> trained pastry chef.</p> <dl> <dt class="newitem">Lemon chiffon cake &mdash; <strong>new item!</strong></dt> <dd>Light and citrus flavored sponge cake with buttercream frosting as light as a cloud. <span class="price">$2.95</span></dd> <dt class="newitem">Molten chocolate cake</dt> <dd>Bubba's special dark chocolate cake with a warm, molten center. Served with or without a splash of almond liqueur. <span class="price">$3.95</span></dd> </dl> </div> <p class="warning">^* We are required to warn you that undercooked food is a health risk.</p> </body> </html> but the background image does not appear in body tag you can see background-image:url(images/bullseye.png); this html page is bistro.html and the directory in which it is contained there is a folder images and inside images folder I have a file bullseye.png .I expect the png to appear in background.But that does not happen. For sake of question I am posting the image here also Let me know if the syntax of css wrong? following is image http://i.stack.imgur.com/YUKgg.png

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• What is wrong with my gtkrc file?

  - by PP

  I have written following gtkrc file from some other theme gtkrc file. This theme is normal theme with buttons using pixmap theme engine. I have also given background image to GtkEntry. Problem is that, When i use this theme my buttons doesn't show text one them and my entry box does not show cursor. Plus in engine "pixmap" tag I need to specify image name with it's path as I have already mentioned pixmap_path on the top of rc file but why I still need to specify the path in file = "xxx" # gtkrc file. pixmap_path "./backgrounds:./icons:./buttons:./emotions" gtk-button-images = 1 #Icon Sizes and color definitions gtk-icon-sizes = "gtk-small-toolbar=16,16:gtk-large-toolbar=24,24:gtk-button=16,16" gtk-toolbar-icon-size = GTK_ICON_SIZE_SMALL_TOOLBAR gtk_color_scheme = "fg_color:#000000\nbg_color:#848484\nbase_color:#000000\ntext_color:#000000\nselected_bg_color:#f39638\nselected_fg_color:#000000\ntooltip_bg_color:#634110\ntooltip_fg_color:#ffffff" style "theme-default" { xthickness = 10 ythickness = 10 GtkEntry::honors-transparent-bg-hint = 0 GtkMenuItem::arrow-spacing = 20 GtkMenuItem::horizontal-padding = 50 GtkMenuItem::toggle-spacing = 30 GtkOptionMenu::indicator-size = {11, 5} GtkOptionMenu::indicator-spacing = {6, 5, 4, 4} GtkTreeView::horizontal_separator = 5 GtkTreeView::odd_row_color = "#efefef" GtkTreeView::even_row_color = "#e3e3e3" GtkWidget::link-color = "#0062dc" # blue GtkWidget::visited-link-color = "#8c00dc" #purple GtkButton::default_border = { 0, 0, 0, 0 } GtkButton::child-displacement-x = 0 GtkButton::child-displacement-y = 1 GtkWidget::focus-padding = 0 GtkRange::trough-border = 0 GtkRange::slider-width = 19 GtkRange::stepper-size = 19 GtkScrollbar::min_slider_length = 36 GtkScrollbar::has-secondary-backward-stepper = 1 GtkPaned::handle_size = 8 GtkMenuBar::internal-padding = 0 GtkTreeView::expander_size = 13 #15 GtkExpander::expander_size = 13 #17 GtkScale::slider-length = 35 GtkScale::slider-width = 17 GtkScale::trough-border = 0 GtkWidget::link-color = "#0062dc" GtkWidget::visited-link-color = "#8c00dc" #purple WnckTasklist::fade-overlay-rect = 0 WnckTasklist::fade-loop-time = 5.0 # 5 seconds WnckTasklist::fade-opacity = 0.5 # final opacity #makes menu only overlap border GtkMenu::horizontal-offset = -1 #removes extra padding at top and bottom of menus. Makes menuitem overlap border GtkMenu::vertical-padding = 0 #set to the same as roundness, used for better hotspot selection of tabs GtkNotebook::tab-curvature = 2 GtkNotebook::tab-overlap = 4 GtkMenuItem::arrow-spacing = 10 GtkOptionMenu ::indicator-size = {11, 5} GtkCheckButton ::indicator-size = 16 GtkCheckButton ::indicator-spacing = 1 GtkRadioButton ::indicator-size = 16 GtkTreeView::horizontal_separator = 2 GtkTreeView::odd_row_color = "#efefef" GtkTreeView::even_row_color = "#e3e3e3" NautilusIconContainer::normal_icon_color = "#ff0000" GtkEntry::inner-border = {0, 0, 0, 0} GtkScrolledWindow::scrollbar-spacing = 0 GtkScrolledWindow::scrollbars-within-bevel = 1 fg[NORMAL] = @fg_color fg[ACTIVE] = @fg_color fg[PRELIGHT] = @fg_color fg[SELECTED] = @selected_fg_color fg[INSENSITIVE] = shade (3.0,@fg_color) bg[NORMAL] = @bg_color bg[ACTIVE] = shade (0.95,@bg_color) bg[PRELIGHT] = mix(0.92, shade (1.1,@bg_color), @selected_bg_color) bg[SELECTED] = @selected_bg_color bg[INSENSITIVE] = shade (1.06,@bg_color) base[NORMAL] = @base_color base[ACTIVE] = shade (0.65,@base_color) base[PRELIGHT] = @base_color base[SELECTED] = @selected_bg_color base[INSENSITIVE] = shade (1.025,@bg_color) text[NORMAL] = @text_color text[ACTIVE] = shade (0.95,@base_color) text[PRELIGHT] = @text_color text[SELECTED] = @selected_fg_color text[INSENSITIVE] = mix (0.675,shade (0.95,@bg_color),@fg_color) } style "theme-entry" { xthickness = 10 ythickness = 10 GtkEntry::inner-border = {10, 10, 10, 10} GtkEntry::progress-border = {10, 10, 10, 10} GtkEntry::icon-prelight = 1 GtkEntry::state-hintt = 1 #GtkEntry::honors-transparent-bg-hint = 1 text[NORMAL] = "#000000" text[ACTIVE] = "#787878" text[INSENSITIVE] = "#787878" text[SELECTED] = "#FFFFFF" engine "pixmap" { image { function = FLAT_BOX state = NORMAL recolorable = FALSE file = "./backgrounds/entry_background.png" border = { 0, 0, 0, 0 } stretch = TRUE } image { function = FLAT_BOX state = PRELIGHT recolorable = FALSE file = "./backgrounds/entry_background.png" border = { 0, 0, 0, 0 } stretch = TRUE } image { function = FLAT_BOX state = ACTIVE recolorable = FALSE file = "./backgrounds/entry_background.png" border = { 0, 0, 0, 0 } stretch = TRUE } } } #----------------------------------------------- #Chat Balloon Incoming background. style "theme-event-box-top-in" { xthickness = 1 ythickness = 1 GtkEventBox::inner-border = {0, 0, 0, 0} engine "pixmap" { image { function = FLAT_BOX state = NORMAL recolorable = TRUE file = "./backgrounds/chat_in_top.png" border = { 0, 0, 0, 0 } stretch = TRUE } } } style "theme-event-box-mid-in" { xthickness = 1 ythickness = 1 GtkEventBox::inner-border = {0, 0, 0, 0} engine "pixmap" { image { function = FLAT_BOX state = NORMAL recolorable = TRUE file = "./backgrounds/chat_in_mid.png" border = { 0, 0, 0, 0 } stretch = TRUE } } } style "theme-event-box-bot-in" { xthickness = 1 ythickness = 1 GtkEventBox::inner-border = {0, 0, 0, 0} engine "pixmap" { image { function = FLAT_BOX state = NORMAL recolorable = TRUE file = "./backgrounds/chat_in_bot.png" border = { 0, 0, 0, 0 } stretch = TRUE } } } #----------------------------------------------- #Chat Balloon Outgoing background. style "theme-event-box-top-out" { xthickness = 1 ythickness = 1 GtkEventBox::inner-border = {0, 0, 0, 0} engine "pixmap" { image { function = FLAT_BOX state = NORMAL recolorable = TRUE file = "./backgrounds/chat_out_top.png" border = { 0, 0, 0, 0 } stretch = TRUE } } } style "theme-event-box-mid-out" { xthickness = 1 ythickness = 1 GtkEventBox::inner-border = {0, 0, 0, 0} engine "pixmap" { image { function = FLAT_BOX state = NORMAL recolorable = TRUE file = "./backgrounds/chat_out_mid.png" border = { 0, 0, 0, 0 } stretch = TRUE } } } style "theme-event-box-bot-out" { xthickness = 1 ythickness = 1 GtkEventBox::inner-border = {0, 0, 0, 0} engine "pixmap" { image { function = FLAT_BOX state = NORMAL recolorable = TRUE file = "./backgrounds/chat_out_bot.png" border = { 0, 0, 0, 0 } stretch = TRUE } } } style "theme-wide" = "theme-default" { xthickness = 2 ythickness = 2 } style "theme-wider" = "theme-default" { xthickness = 3 ythickness = 3 } style "theme-button" { GtkButton::inner-border = {0, 0, 0, 0} GtkWidget::focus-line-width = 0 GtkWidget::focus-padding = 0 bg[NORMAL] = "#414143" bg[ACTIVE] = "#c19676" bg[PRELIGHT] = "#7f4426" bg[SELECTED] = "#ff0000" bg[INSENSITIVE] = "#434346" fg[NORMAL] = "#ffffff" fg[INSENSITIVE] = "#000000" fg[PRELIGHT] = "#ffffff" fg[SELECTED] = "#ffffff" fg[ACTIVE] = "#ffffff" text[NORMAL] = "#ff0000" text[INSENSITIVE] = "#ff0000" text[PRELIGHT] = "#ff0000" text[SELECTED] = "#ff0000" text[INSENSITIVE] = "#434346" text[ACTIVE] = "#ff0000" base[NORMAL] = "#ff0000" base[INSENSITIVE] = "#ff0000" base[PRELIGHT] = "#ff0000" base[SELECTED] = "#ff0000" base[INSENSITIVE] = "#ff0000" engine "pixmap" { image { function = BOX state = NORMAL recolorable = TRUE file = "./buttons/LightButtonAct.png" border = { 0, 0, 0, 0 } stretch = TRUE } image { function = BOX state = PRELIGHT recolorable = TRUE file = "./buttons/LightButtonRoll.png" border = { 0, 0, 0, 0 } stretch = TRUE } image { function = BOX state = ACTIVE recolorable = TRUE file = "./buttons/LightButtonClicked.png" border = { 0, 0, 0, 0 } stretch = TRUE } image { function = BOX state = INSENSITIVE recolorable = TRUE file = "./buttons/LightButtonInact.png" border = { 0, 0, 0, 0 } stretch = TRUE } } } style "theme-toolbar" { xthickness = 2 ythickness = 2 bg[NORMAL] = shade (1.078,@bg_color) } style "theme-handlebox" { bg[NORMAL] = shade (0.95,@bg_color) } style "theme-scale" { bg[NORMAL] = shade (1.06, @bg_color) bg[PRELIGHT] = mix(0.85, shade (1.1,@bg_color), @selected_bg_color) bg[SELECTED] = "#4d4d55" } style "theme-range" { bg[NORMAL] = shade (1.12,@bg_color) bg[ACTIVE] = @bg_color bg[PRELIGHT] = mix(0.95, shade (1.10,@bg_color), @selected_bg_color) #Arrows text[NORMAL] = shade (0.275,@selected_fg_color) text[PRELIGHT] = @selected_fg_color text[ACTIVE] = shade (0.10,@selected_fg_color) text[INSENSITIVE] = mix (0.80,shade (0.90,@bg_color),@fg_color) } style "theme-notebook" = "theme-wider" { xthickness = 4 ythickness = 4 GtkNotebook::tab-curvature = 5 GtkNotebook::tab-vborder = 1 GtkNotebook::tab-overlap = 1 GtkNotebook::tab-vborder = 1 bg[NORMAL] = "#d2d2d2" bg[ACTIVE] = "#e3e3e3" bg[PRELIGHT] = "#848484" bg[SELECTED] = "#848484" bg[INSENSITIVE] = "#848484" text[PRELIGHT] = @selected_fg_color text[NORMAL] = "#000000" text[ACTIVE] = "#737373" text[SELECTED] = "#000000" text[INSENSITIVE] = "#737373" fg[PRELIGHT] = @selected_fg_color fg[NORMAL] = "#000000" fg[ACTIVE] = "#737373" fg[SELECTED] = "#000000" fg[INSENSITIVE] = "#737373" } style "theme-paned" { bg[PRELIGHT] = shade (1.1,@bg_color) } style "theme-panel" { # Menu fg[PRELIGHT] = @selected_fg_color font_name = "Bold 9" text[PRELIGHT] = @selected_fg_color } style "theme-menu" { xthickness = 0 ythickness = 0 bg[NORMAL] = shade (1.16,@bg_color) bg[SELECTED] = "#ff9a00" text[PRELIGHT] = @selected_fg_color fg[PRELIGHT] = @selected_fg_color } style "theme-menu-item" = "theme-menu" { xthickness = 3 ythickness = 3 base[SELECTED] = "#ff9a00" base[NORMAL] = "#ff9a00" base[PRELIGHT] = "#ff9a00" base[INSENSITIVE] = "#ff9a00" base[ACTIVE] = "#ff9a00" bg[SELECTED] = "#ff9a00" bg[NORMAL] = shade (1.16,@bg_color) } style "theme-menubar" { #TODO } style "theme-menubar-item" = "theme-menu-item" { #TODO bg[SELECTED] = "#ff9a00" } style "theme-tree" { xthickness = 2 ythickness = 1 font_name = "Bold 9" GtkWidget::focus-padding = 0 bg[NORMAL] = "#5a595a" bg[PRELIGHT] = "#5a595a" bg[ACTIVE] = "#5a5a5a" fg[NORMAL] = "#ffffff" fg[ACTIVE] = "#ffffff" fg[SELECTED] = "#ff9a00" fg[PRELIGHT] = "#ffffff" bg[SELECTED] = "#ff9a00" base[SELECTED] = "#ff9a00" base[NORMAL] = "#ff9a00" base[PRELIGHT] = "#ff9a00" base[INSENSITIVE] = "#ff9a00" base[ACTIVE] = "#ff9a00" text[NORMAL] = "#000000" text[PRELIGHT] = "#ff9a00" text[ACTIVE] = "#ff9a00" text[SELECTED] = "#ff9a00" text[INSENSITIVE] = "#434346" } style "theme-tree-arrow" { bg[NORMAL] = mix(0.70, shade (0.60,@bg_color), shade (0.80,@selected_bg_color)) bg[PRELIGHT] = mix(0.80, @bg_color, @selected_bg_color) } style "theme-progressbar" { font_name = "Bold" bg[SELECTED] = @selected_bg_color fg[PRELIGHT] = @selected_fg_color bg[ACTIVE] = "#fe7e00" bg[NORMAL] = "#ffba00" } style "theme-tooltips" = "theme-wider" { font_name = "Liberation sans 10" bg[NORMAL] = @tooltip_bg_color fg[NORMAL] = @tooltip_fg_color text[NORMAL] = @tooltip_fg_color } style "theme-combo" = "theme-button" { xthickness = 4 ythickness = 4 text[NORMAL] = "#fd7d00" text[INSENSITIVE] = "#8a8a8a" base[NORMAL] = "#e0e0e0" base[INSENSITIVE] = "#aeaeae" } style "theme-combo-box" = "theme-button" { xthickness = 3 ythickness = 2 bg[NORMAL] = "#343539" bg[PRELIGHT] = "#343539" bg[ACTIVE] = "#26272b" bg[INSENSITIVE] = "#404145" } style "theme-entry-combo-box" { xthickness = 6 ythickness = 3 text[NORMAL] = "#000000" text[INSENSITIVE] = "#8a8a8a" base[NORMAL] = "#ffffff" base[INSENSITIVE] = "#aeaeae" } style "theme-combo-arrow" = "theme-button" { xthickness = 1 ythickness = 1 } style "theme-view" { xthickness = 0 ythickness = 0 } style "theme-check-radio-buttons" { GtkWidget::interior-focus = 0 GtkWidget::focus-padding = 1 text[NORMAL] = "#ff0000" base[NORMAL] = "#ff0000" text[SELECTED] = "#ffffff" text[INSENSITIVE] = shade (0.625,@bg_color) base[PRELIGHT] = mix(0.80, @base_color, @selected_bg_color) bg[NORMAL] = "#438FC6" bg[INSENSITIVE] = "#aeaeae" bg[SELECTED] = "#ff8a01" } style "theme-radio-buttons" = "theme-button" { GtkWidget::interior-focus = 0 GtkWidget::focus-padding = 1 text[SELECTED] = @selected_fg_color text[INSENSITIVE] = shade (0.625,@bg_color) base[PRELIGHT] = mix(0.80, @base_color, @selected_bg_color) bg[NORMAL] = "#ffffff" bg[INSENSITIVE] = "#dcdcdc" bg[SELECTED] = @selected_bg_color } style "theme-spin-button" { bg[NORMAL] = "#d2d2d2" bg[ACTIVE] = "#868686" bg[PRELIGHT] = "#7f4426" bg[SELECTED] = shade(1.10,@selected_bg_color) bg[INSENSITIVE] = "#dcdcdc" base[NORMAL] = "#ffffff" base[INSENSITIVE] = "#dcdcdc" text[NORMAL] = "#000000" text[INSENSITIVE] = "#aeaeae" } style "theme-calendar" { xthickness = 0 ythickness = 0 bg[NORMAL] = "#676767" bg[PRELIGHT] = shade(0.92,@bg_color) bg[ACTIVE] = "#ff0000" bg[INSENSITIVE] = "#ff0000" bg[SELECTED] = "#ff0000" text[PRELIGHT] = "#000000" text[NORMAL] = "#000000" text[INSENSITIVE]= "#000000" text[SELECTED] = "#ffffff" text[ACTIVE] = "#000000" fg[NORMAL] = "#ffffff" fg[PRELIGHT] = "#ffffff" fg[INSENSITIVE] = "#ffffff" fg[SELECTED] = "#ffffff" fg[ACTIVE] = "#ffffff" base[NORMAL] = "#ff0000" base[NORMAL] = "#aeaeae" base[INSENSITIVE] = "#00ff00" base[SELECTED] = "#f3720d" base[ACTIVE] = "#f3720d" } style "theme-separator-menu-item" { xthickness = 1 ythickness = 0 GtkSeparatorMenuItem::horizontal-padding = 2 # We are setting the desired height by using wide-separators # There is no other way to get the odd height ... GtkWidget::wide-separators = 1 GtkWidget::separator-width = 1 GtkWidget::separator-height = 5 } style "theme-frame" { xthickness = 10 ythickness = 0 GtkWidget::LABEL-SIDE-PAD = 14 GtkWidget::LABEL-PAD = 23 fg[NORMAL] = "#000000" fg[ACTIVE] = "#000000" fg[PRELIGHT] = "#000000" fg[SELECTED] = "#000000" fg[INSENSITIVE] = "#000000" bg[NORMAL] = "#e2e2e2" bg[ACTIVE] = "#000000" bg[PRELIGHT] = "#000000" bg[SELECTED] = "#000000" bg[INSENSITIVE] = "#000000" base[NORMAL] = "#000000" base[ACTIVE] = "#000000" base[PRELIGHT] = "#000000" base[SELECTED] = "#000000" base[INSENSITIVE]= "#000000" text[NORMAL] = "#000000" text[ACTIVE] = "#000000" text[PRELIGHT] = "#000000" text[SELECTED] = "#000000" text[INSENSITIVE]= "#000000" } style "theme-textview" { text[NORMAL] = "#000000" text[ACTIVE] = "#000000" text[PRELIGHT] = "#000000" text[SELECTED] = "#000000" text[INSENSITIVE] = "#434648" bg[NORMAL] = "#ffffff" bg[ACTIVE] = "#ffffff" bg[PRELIGHT] = "#ffffff" bg[SELECTED] = "#ffffff" bg[INSENSITIVE] = "#ffffff" fg[NORMAL] = "#ffffff" fg[ACTIVE] = "#ffffff" fg[PRELIGHT] = "#ffffff" fg[SELECTED] = "#ffffff" fg[INSENSITIVE] = "#ffffff" base[NORMAL] = "#ffffff" base[ACTIVE] = "#ffffff" base[PRELIGHT] = "#ffffff" base[SELECTED] = "#ff9a00" base[INSENSITIVE] = "#ffffff" } style "theme-clist" { text[NORMAL] = "#000000" text[ACTIVE] = "#000000" text[PRELIGHT] = "#000000" text[SELECTED] = "#000000" text[INSENSITIVE] = "#434648" bg[NORMAL] = "#353438" bg[ACTIVE] = "#ff9a00" bg[PRELIGHT] = "#ff9a00" bg[SELECTED] = "#ff9a00" bg[INSENSITIVE] = "#ffffff" fg[NORMAL] = "#000000" fg[ACTIVE] = "#ff9a00" fg[PRELIGHT] = "#ff9a00" fg[SELECTED] = "#fdff00" fg[INSENSITIVE] = "#757575" base[NORMAL] = "#ffffff" base[ACTIVE] = "#fdff00" base[PRELIGHT] = "#000000" base[SELECTED] = "#fdff00" base[INSENSITIVE] = "#757575" } style "theme-label" { bg[NORMAL] = "#414143" bg[ACTIVE] = "#c19676" bg[PRELIGHT] = "#7f4426" bg[SELECTED] = "#000000" bg[INSENSITIVE] = "#434346" fg[NORMAL] = "#000000" fg[INSENSITIVE] = "#434346" fg[PRELIGHT] = "#000000" fg[SELECTED] = "#000000" fg[ACTIVE] = "#000000" text[NORMAL] = "#ffffff" text[INSENSITIVE] = "#434346" text[PRELIGHT] = "#ffffff" text[SELECTED] = "#ffffff" text[ACTIVE] = "#ffffff" base[NORMAL] = "#000000" base[INSENSITIVE] = "#00ff00" base[PRELIGHT] = "#0000ff" base[ACTIVE] = "#f39638" } style "theme-button-label" { bg[NORMAL] = "#414143" bg[ACTIVE] = "#c19676" bg[PRELIGHT] = "#7f4426" bg[SELECTED] = "#000000" bg[INSENSITIVE] = "#434346" fg[NORMAL] = "#ffffff" fg[INSENSITIVE] = "#434346" fg[PRELIGHT] = "#ffffff" fg[SELECTED] = "#ffffff" fg[ACTIVE] = "#ffffff" text[NORMAL] = "#000000" text[INSENSITIVE] = "#434346" text[PRELIGHT] = "#000000" text[SELECTED] = "#000000" text[ACTIVE] = "#000000" base[NORMAL] = "#000000" base[INSENSITIVE] = "#00ff00" base[PRELIGHT] = "#0000ff" base[SELECTED] = "#ff00ff" base[ACTIVE] = "#ffff00" } style "theme-button-check-radio-label" { bg[NORMAL] = "#414143" bg[ACTIVE] = "#c19676" bg[PRELIGHT] = "#7f4426" bg[SELECTED] = "#000000" bg[INSENSITIVE] = "#434346" fg[NORMAL] = "#000000" fg[INSENSITIVE] = "#434346" fg[PRELIGHT] = "#000000" fg[SELECTED] = "#000000" fg[ACTIVE] = "#000000" text[NORMAL] = "#ffffff" text[INSENSITIVE] = "#434346" text[PRELIGHT] = "#ffffff" text[SELECTED] = "#000000" text[ACTIVE] = "#ffffff" base[NORMAL] = "#000000" base[INSENSITIVE] = "#00ff00" base[PRELIGHT] = "#0000ff" base[SELECTED] = "#ff00ff" base[ACTIVE] = "#ffff00" } style "theme-table" { bg[NORMAL] = "#848484" bg[ACTIVE] = "#c19676" bg[PRELIGHT] = "#7f4426" bg[SELECTED] = "#000000" bg[INSENSITIVE] = "#434346" } style "theme-iconview" { GtkWidget::focus-line-width=1 bg[NORMAL] = "#000000" bg[ACTIVE] = "#c19676" bg[PRELIGHT] = "#c19676" bg[SELECTED] = "#c19676" bg[INSENSITIVE] = "#969696" fg[NORMAL] = "#ffffff" fg[INSENSITIVE] = "#ffffff" fg[PRELIGHT] = "#ffffff" fg[SELECTED] = "#ffffff" fg[ACTIVE] = "#ffffff" text[NORMAL] = "#000000" text[INSENSITIVE] = "#434346" text[PRELIGHT] = "#000000" text[SELECTED] = "#000000" text[ACTIVE] = "#000000" base[NORMAL] = "#ffffff" base[INSENSITIVE] = "#434346" base[PRELIGHT] = "#FAD184" base[SELECTED] = "#FAD184" base[ACTIVE] = "#FAD184" } # Set Widget styles class "GtkWidget" style "theme-default" class "GtkScale" style "theme-scale" class "GtkRange" style "theme-range" class "GtkPaned" style "theme-paned" class "GtkFrame" style "theme-frame" class "GtkMenu" style "theme-menu" class "GtkMenuBar" style "theme-menubar" class "GtkEntry" style "theme-entry" class "GtkProgressBar" style "theme-progressbar" class "GtkToolbar" style "theme-toolbar" class "GtkSeparator" style "theme-wide" class "GtkCalendar" style "theme-calendar" class "GtkTable" style "theme-table" widget_class "*<GtkMenuItem>*" style "theme-menu-item" widget_class "*<GtkMenuBar>.<GtkMenuItem>*" style "theme-menubar-item" widget_class "*<GtkSeparatorMenuItem>*" style "theme-separator-menu-item" widget_class "*<GtkLabel>" style "theme-label" widget_class "*<GtkButton>" style "theme-button" widget_class "*<GtkButton>*<GtkLabel>*" style "theme-button-label" widget_class "*<GtkCheckButton>" style "theme-check-radio-buttons" widget_class "*<GtkToggleButton>.<GtkLabel>*" style "theme-button" widget_class "*<GtkCheckButton>.<GtkLabel>*" style "theme-button-check-radio-label" widget_class "*<GtkRadioButton>.<GtkLabel>*" style "theme-button-check-radio-label" widget_class "*<GtkTextView>" style "theme-textview" widget_class "*<GtkList>" style "theme-textview" widget_class "*<GtkCList>" style "theme-clist" widget_class "*<GtkIconView>" style "theme-iconview" widget_class "*<GtkHandleBox>" style "theme-handlebox" widget_class "*<GtkNotebook>" style "theme-notebook" widget_class "*<GtkNotebook>*<GtkEventBox>" style "theme-notebook" widget_class "*<GtkNotebook>*<GtkDrawingArea>" style "theme-notebook" widget_class "*<GtkNotebook>*<GtkLayout>" style "theme-notebook" widget_class "*<GtkNotebook>*<GtkViewport>" style "theme-notebook" widget_class "*<GtkNotebook>.<GtkLabel>*" style "theme-notebook" #for tabs # Combo Box Stuff widget_class "*<GtkCombo>*" style "theme-combo" widget_class "*<GtkComboBox>*<GtkButton>" style "theme-combo-box" widget_class "*<GtkComboBoxEntry>*" style "theme-entry-combo-box" widget_class "*<GtkSpinButton>*" style "theme-spin-button" widget_class "*<GtkSpinButton>*<GtkArrow>*" style:highest "theme-tree-arrow" # Tool Tips Stuff widget "gtk-tooltip*" style "theme-tooltips" # Tree View Stuff widget_class "*<GtkTreeView>.<GtkButton>*" style "theme-tree" widget_class "*<GtkCTree>.<GtkButton>*" style "theme-tree" widget_class "*<GtkList>.<GtkButton>*" style "theme-tree" widget_class "*<GtkCList>.<GtkButton>*" style "theme-tree" # For arrow bg widget_class "*<GtkTreeView>.<GtkButton>*<GtkArrow>" style "theme-tree-arrow" widget_class "*<GtkCTree>.<GtkButton>*<GtkArrow>" style "theme-tree-arrow" widget_class "*<GtkList>.<GtkButton>*<GtkArrow>" style "theme-tree-arrow" ####################################################### ## GNOME specific ####################################################### widget_class "*.ETree.ECanvas" style "theme-tree" widget_class "*.ETable.ECanvas" style "theme-tree" style "panelbuttons" = "theme-button" { # As buttons are draw lower this helps center text xthickness = 3 ythickness = 3 } widget_class "*Panel*<GtkButton>*" style "panelbuttons" style "murrine-fg-is-text-color-workaround" { text[NORMAL] = "#000000" text[ACTIVE] = "#fdff00" text[SELECTED] = "#fdff00" text[INSENSITIVE] = "#757575" bg[SELECTED] = "#b85e03" bg[ACTIVE] = "#b85e03" bg[SELECTED] = "#b85e03" fg[SELECTED] = "#ffffff" fg[NORMAL] = "#ffffff" fg[ACTIVE] = "#ffffff" fg[INSENSITIVE] = "#434348" fg[PRELIGHT] = "#ffffff" base[SELECTED] = "#ff9a00" base[NORMAL] = "#ffffff" base[ACTIVE] = "#ff9a00" base[INSENSITIVE] = "#434348" base[PRELIGHT] = "#ffffff" } widget_class "*.<GtkTreeView>*" style "murrine-fg-is-text-color-workaround" style "murrine-combobox-text-color-workaround" { text[NORMAL] = "#FFFFF" text[PRELIGHT] = "#FFFFF" text[SELECTED] = "#FFFFF" text[ACTIVE] = "#FFFFF" text[INSENSITIVE] = "#FFFFF" } widget_class "*.<GtkComboBox>.<GtkCellView>" style "murrine-combobox-text-color-workaround" style "murrine-menuitem-text-is-fg-color-workaround" { bg[NORMAL] = "#0000ff" text[NORMAL] = "#ffffff" text[PRELIGHT] = "#ffffff"#"#FD7D00" text[SELECTED] = "#ffffff"#"#ff0000"# @selected_fg_color text[ACTIVE] = "#ffffff"#"#ff0000"# "#FD7D00" text[INSENSITIVE] = "#ffffff"#ff0000"# "#414143" } widget "*.gtk-combobox-popup-menu.*" style "murrine-menuitem-text-is-fg-color-workaround"

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• Coupling/Cohesion

  - by user559142

  Hi All, Whilst there are many good examples on this forum that contain examples of coupling and cohesion, I am struggling to apply it to my code fully. I can identify parts in my code that may need changing. Would any Java experts be able to take a look at my code and explain to me what aspects are good and bad. I don't mind changing it myself at all. It's just that many people seem to disagree with each other and I'm finding it hard to actually understand what principles to follow... package familytree; /** * * @author David */ public class Main { /** * @param args the command line arguments */ public static void main(String[] args) { // TODO code application logic here KeyboardInput in = new KeyboardInput(); FamilyTree familyTree = new FamilyTree(in, System.out); familyTree.start(); } } package familytree; import java.io.PrintStream; /** * * @author David */ public class FamilyTree { /** * @param args the command line arguments */ private static final int DISPLAY_FAMILY_MEMBERS = 1; private static final int ADD_FAMILY_MEMBER = 2; private static final int REMOVE_FAMILY_MEMBER = 3; private static final int EDIT_FAMILY_MEMBER = 4; private static final int SAVE_FAMILY_TREE = 5; private static final int LOAD_FAMILY_TREE = 6; private static final int DISPLAY_ANCESTORS = 7; private static final int DISPLAY_DESCENDANTS = 8; private static final int QUIT = 9; private KeyboardInput in; private Family family; private PrintStream out; public FamilyTree(KeyboardInput in, PrintStream out) { this.in = in; this.out = out; family = new Family(); } public void start() { out.println("\nWelcome to the Family Tree Builder"); //enterUserDetails(); initialise(); while (true) { displayFamilyTreeMenu(); out.print("\nEnter Choice: "); int option = in.readInteger(); if (option > 0 && option <= 8) { if (quit(option)) { break; } executeOption(option); } else { out.println("Invalid Choice!"); } } } //good private void displayFamilyTreeMenu() { out.println("\nFamily Tree Menu"); out.println(DISPLAY_FAMILY_MEMBERS + ". Display Family Members"); out.println(ADD_FAMILY_MEMBER + ". Add Family Member"); out.println(REMOVE_FAMILY_MEMBER + ". Remove Family Member"); out.println(EDIT_FAMILY_MEMBER + ". Edit Family Member"); out.println(SAVE_FAMILY_TREE + ". Save Family Tree"); out.println(LOAD_FAMILY_TREE + ". Load Family Tree"); out.println(DISPLAY_ANCESTORS + ". Display Ancestors"); out.println(DISPLAY_DESCENDANTS + ". Display Descendants"); out.println(QUIT + ". Quit"); } //good private boolean quit(int opt) { return (opt == QUIT) ? true : false; } //good private void executeOption(int choice) { switch (choice) { case DISPLAY_FAMILY_MEMBERS: displayFamilyMembers(); break; case ADD_FAMILY_MEMBER: addFamilyMember(); break; case REMOVE_FAMILY_MEMBER: break; case EDIT_FAMILY_MEMBER: break; case SAVE_FAMILY_TREE: break; case LOAD_FAMILY_TREE: break; case DISPLAY_ANCESTORS: displayAncestors(); break; case DISPLAY_DESCENDANTS: displayDescendants(); break; default: out.println("Not a valid option! Try again."); break; } } //for selecting family member for editing adding nodes etc private void displayFamilyMembers() { out.println("\nDisplay Family Members"); int count = 0; for (FamilyMember member : family.getFamilyMembers()) { out.println(); if (count + 1 < 10) { out.println((count + 1) + ". " + member.getFirstName() + " " + member.getLastName()); out.println(" " + member.getDob()); out.println(" Generation: " + member.getGeneration()); } else { out.println((count + 1) + ". " + member.getFirstName() + " " + member.getLastName()); out.println(" " + member.getDob()); out.println(" Generation: " + member.getGeneration()); } count++; } } private int selectRelative() { out.println("\nSelect Relative"); out.println("1. Add Parents"); out.println("2. Add Child"); out.println("3. Add Partner"); out.println("4. Add Sibling"); out.print("\nEnter Choice: "); int choice = in.readInteger(); if (choice > 0 && choice < 5) { return choice; } return (-1); } private void addFamilyMember() { int memberIndex = selectMember(); if (memberIndex >= 0) { FamilyMember member = family.getFamilyMember(memberIndex); int relative = selectRelative(); if (relative > 0) { out.println("\nAdd Member"); //if choice is valid switch (relative) { case 1: //adding parents if (member.getFather() == null) { FamilyMember mum, dad; out.println("Enter Mothers Details"); mum = addMember(relative, "Female"); out.println("\nEnter Fathers Details"); dad = addMember(relative, "Male"); member.linkParent(mum); member.linkParent(dad); mum.linkPartner(dad); mum.setGeneration(member.getGeneration() - 1); dad.setGeneration(member.getGeneration() - 1); sortGenerations(); } else { out.println(member.getFirstName() + " " + member.getLastName() + " already has parents."); } break; case 2: //adding child if (member.getPartner() == null) { FamilyMember partner; if (member.getGender().equals("Male")) { out.println("Enter Mothers Details"); partner = addMember(1, "Female"); } else { out.println("Enter Fathers Details"); partner = addMember(1, "Male"); } //create partner member.linkPartner(partner); partner.setGeneration(member.getGeneration()); out.println(); } out.println("Enter Childs Details"); FamilyMember child = addMember(relative, ""); child.linkParent(member); child.linkParent(member.getPartner()); child.setGeneration(member.getGeneration() + 1); sortGenerations(); break; case 3: //adding partner if (member.getPartner() == null) { out.println("Enter Partners Details"); FamilyMember partner = addMember(relative, ""); member.linkPartner(partner); partner.setGeneration(member.getGeneration()); } else { out.println(member.getFirstName() + " " + member.getLastName() + " already has a partner."); } break; case 4: //adding sibling FamilyMember mum, dad; if (member.getFather() == null) { out.println("Enter Mothers Details"); mum = addMember(1, "Female"); out.println("\nEnter Fathers Details"); dad = addMember(1, "Male"); member.linkParent(mum); member.linkParent(dad); mum.linkPartner(dad); mum.setGeneration(member.getGeneration() - 1); dad.setGeneration(member.getGeneration() - 1); sortGenerations(); out.println("\nEnter Siblings Details"); } else { out.println("Enter Siblings Details"); } FamilyMember sibling = addMember(relative, ""); //create mum and dad mum = member.getMother(); dad = member.getFather(); sibling.linkParent(mum); sibling.linkParent(dad); sibling.setGeneration(member.getGeneration()); break; } } else { out.println("Invalid Option!"); } } else { out.println("Invalid Option!"); } } private int selectMember() { displayFamilyMembers(); out.print("\nSelect Member: "); int choice = in.readInteger(); if (choice > 0 && choice <= family.getFamilyMembers().size()) { return (choice - 1); } return -1; } private FamilyMember addMember(int option, String gender) { out.print("Enter First Name: "); String fName = formatString(in.readString().trim()); out.print("Enter Last Name: "); String lName = formatString(in.readString().trim()); if (option != 1) { //if not adding parents out.println("Select Gender"); out.println("1. Male"); out.println("2. Female"); out.print("Enter Choice: "); int gOpt = in.readInteger(); if (gOpt == 1) { gender = "Male"; } else if (gOpt == 2) { gender = "Female"; } else { out.println("Invalid Choice"); return null; } } String dob = enterDateOfBirth(); lName = formatString(lName); FamilyMember f = family.getFamilyMember(family.addMember(fName, lName, gender, dob)); f.setIndex(family.getFamilyMembers().size() - 1); return (f); } private String formatString(String s){ String firstLetter = s.substring(0, 1); String remainingLetters = s.substring(1, s.length()); s = firstLetter.toUpperCase() + remainingLetters.toLowerCase(); return s; } private String enterDateOfBirth(){ out.print("Enter Year Of Birth (0 - 2011): "); String y = in.readString(); out.print("Enter Month Of Birth (1-12): "); String m = in.readString(); if (Integer.parseInt(m) < 10) { m = "0" + m; } m += "-"; out.print("Enter Date of Birth (1-31): "); String d = in.readString(); if (Integer.parseInt(d) < 10) { d = "0" + d; } d += "-"; String dob = d + m + y; while(!DateValidator.isValid(dob)){ out.println("Invalid Date. Try Again:"); dob = enterDateOfBirth(); } return (dob); } private void displayAncestors() { out.print("\nDisplay Ancestors For Which Member: "); int choice = selectMember(); if (choice >= 0) { FamilyMember node = family.getFamilyMember(choice ); FamilyMember ms = findRootNode(node, 0, 2, -1); FamilyMember fs = findRootNode(node, 1, 2, -1); out.println("\nPrint Ancestors"); out.println("\nMothers Side"); printDescendants(ms, node, ms.getGeneration()); out.println("\nFathers Side"); printDescendants(fs, node, fs.getGeneration()); } else { out.println("Invalid Option!"); } } private void displayDescendants() { out.print("\nDisplay Descendants For Which Member: "); int choice = selectMember(); if (choice >= 0) { FamilyMember node = family.getFamilyMember(choice); out.println("\nPrint Descendants"); printDescendants(node, null, 0); } else { out.println("Invalid Option!"); } } private FamilyMember findRootNode(FamilyMember node, int parent, int numGenerations, int count) { FamilyMember root; count++; if (node.hasParents() && count < numGenerations) { if (parent == 0) { node = node.getMother(); root = findRootNode(node, 1, numGenerations, count); } else { node = node.getFather(); root = findRootNode(node, 1, numGenerations, count); } return root; } return node; } private int findHighestLeafGeneration(FamilyMember node) { int gen = node.getGeneration(); for (int i = 0; i < node.getChildren().size(); i++) { int highestChild = findHighestLeafGeneration(node.getChild(i)); if (highestChild > gen) { gen = highestChild; } } return gen; } private void printDescendants(FamilyMember root, FamilyMember node, int gen) { out.print((root.getGeneration() + 1) + " " + root.getFullName()); out.print(" [" + root.getDob() + "] "); if (root.getPartner() != null) { out.print("+Partner: " + root.getPartner().getFullName() + " [" + root.getPartner().getDob() + "] "); } if (root == node) { out.print("*"); } out.println(); if (!root.getChildren().isEmpty() && root != node) { for (int i = 0; i < root.getChildren().size(); i++) { for (int j = 0; j < root.getChild(i).getGeneration() - gen; j++) { out.print(" "); } printDescendants(root.getChild(i), node, gen); } } else { return; } } //retrieve highest generation public int getRootGeneration(){ int min = family.getFamilyMember(0).getGeneration(); for(int i = 0; i < family.getFamilyMembers().size(); i++){ min = Math.min(min, family.getFamilyMember(i).getGeneration()); } return Math.abs(min); } public void sortGenerations(){ int amount = getRootGeneration(); for (FamilyMember member : family.getFamilyMembers()) { member.setGeneration(member.getGeneration() + amount); } } //test method - temporary private void initialise() { family.addMember("Bilbo", "Baggins", "Male", "23-06-1920"); } } package familytree; import java.util.ArrayList; import java.util.Date; /** * * @author David */ public class Family { //family members private ArrayList<FamilyMember> family; //create Family public Family() { family = new ArrayList<FamilyMember>(); } //add member to the family public int addMember(String f, String l, String g, String d) { family.add(new FamilyMember(f, l, g, d)); return family.size()-1; } //remove member from family public void removeMember(int index) { family.remove(index); } public FamilyMember getFamilyMember(int index) { return family.get(index); } //return family public ArrayList <FamilyMember> getFamilyMembers() { return family; } public void changeFirstName(int index, String f) { family.get(index).setFirstName(f);//change to setfirstname and others } public void changeLastName(int index, String l) { family.get(index).setLastName(l); } public void changeAge(int index, int a) { family.get(index).setAge(a); } public void changeDOB() { //implement } } package familytree; import java.util.ArrayList; import java.util.Collections; /** * * @author David */ public class FamilyMember extends Person { private FamilyMember mother; private FamilyMember father; private FamilyMember partner; private ArrayList<FamilyMember> children; private int generation; private int index; //initialise family member public FamilyMember(String f, String l, String g, String d) { super(f, l, g, d); mother = null; father = null; partner = null; children = new ArrayList<FamilyMember>(); generation = 0; index = -1; } public void linkParent(FamilyMember parent) { if (parent.getGender().equals("Female")) { this.setMother(parent); } else { this.setFather(parent); } parent.addChild(this); } public void linkPartner(FamilyMember partner) { partner.setPartner(this); this.setPartner(partner); } public boolean hasParents() { if (this.getMother() == null && this.getFather() == null) { return false; } return true; } public FamilyMember getMother() { return mother; } public FamilyMember getFather() { return father; } public FamilyMember getPartner() { return partner; } public FamilyMember getChild(int index) { return children.get(index); } public int getGeneration() { return generation; } public int getIndex() { return index; } public ArrayList<FamilyMember> getChildren() { return children; } public void setMother(FamilyMember f) { mother = f; } public void setFather(FamilyMember f) { father = f; } public void setPartner(FamilyMember f) { partner = f; } public void addChild(FamilyMember f) { children.add(f); //add child if(children.size() > 1){ //sort in ascending order Collections.sort(children, new DateComparator()); } } public void addChildAt(FamilyMember f, int index) { children.set(index, f); } public void setGeneration(int g) { generation = g; } public void setIndex(int i){ index = i; } } package familytree; /** * * @author David */ public class Person{ private String fName; private String lName; private String gender; private int age; private String dob; public Person(String fName, String lName, String gender, String dob){ this.fName = fName; this.lName = lName; this.gender = gender; this.dob = dob; } public String getFullName(){ return (this.fName + " " + this.lName); } public String getFirstName(){ return (fName); } public String getLastName(){ return (lName); } public String getGender(){ return (gender); } public String getDob(){ return dob; } public int getAge(){ return age; } public void setFirstName(String fName){ this.fName = fName; } public void setLastName(String lName){ this.lName = lName; } public void setGender(String gender){ this.gender = gender; } public void setAge(int age){ this.age = age; } }

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