Search Results

Search found 11380 results on 456 pages for 'cpu speed'.

Page 419/456 | < Previous Page | 415 416 417 418 419 420 421 422 423 424 425 426  | Next Page >

• Optimizing collision engine bottleneck

  - by Vittorio Romeo

  Foreword: I'm aware that optimizing this bottleneck is not a necessity - the engine is already very fast. I, however, for fun and educational purposes, would love to find a way to make the engine even faster. I'm creating a general-purpose C++ 2D collision detection/response engine, with an emphasis on flexibility and speed. Here's a very basic diagram of its architecture: Basically, the main class is World, which owns (manages memory) of a ResolverBase*, a SpatialBase* and a vector<Body*>. SpatialBase is a pure virtual class which deals with broad-phase collision detection. ResolverBase is a pure virtual class which deals with collision resolution. The bodies communicate to the World::SpatialBase* with SpatialInfo objects, owned by the bodies themselves. There currenly is one spatial class: Grid : SpatialBase, which is a basic fixed 2D grid. It has it's own info class, GridInfo : SpatialInfo. Here's how its architecture looks: The Grid class owns a 2D array of Cell*. The Cell class contains two collection of (not owned) Body*: a vector<Body*> which contains all the bodies that are in the cell, and a map<int, vector<Body*>> which contains all the bodies that are in the cell, divided in groups. Bodies, in fact, have a groupId int that is used for collision groups. GridInfo objects also contain non-owning pointers to the cells the body is in. As I previously said, the engine is based on groups. Body::getGroups() returns a vector<int> of all the groups the body is part of. Body::getGroupsToCheck() returns a vector<int> of all the groups the body has to check collision against. Bodies can occupy more than a single cell. GridInfo always stores non-owning pointers to the occupied cells. After the bodies move, collision detection happens. We assume that all bodies are axis-aligned bounding boxes. How broad-phase collision detection works: Part 1: spatial info update For each Body body: Top-leftmost occupied cell and bottom-rightmost occupied cells are calculated. If they differ from the previous cells, body.gridInfo.cells is cleared, and filled with all the cells the body occupies (2D for loop from the top-leftmost cell to the bottom-rightmost cell). body is now guaranteed to know what cells it occupies. For a performance boost, it stores a pointer to every map<int, vector<Body*>> of every cell it occupies where the int is a group of body->getGroupsToCheck(). These pointers get stored in gridInfo->queries, which is simply a vector<map<int, vector<Body*>>*>. body is now guaranteed to have a pointer to every vector<Body*> of bodies of groups it needs to check collision against. These pointers are stored in gridInfo->queries. Part 2: actual collision checks For each Body body: body clears and fills a vector<Body*> bodiesToCheck, which contains all the bodies it needs to check against. Duplicates are avoided (bodies can belong to more than one group) by checking if bodiesToCheck already contains the body we're trying to add. const vector<Body*>& GridInfo::getBodiesToCheck() { bodiesToCheck.clear(); for(const auto& q : queries) for(const auto& b : *q) if(!contains(bodiesToCheck, b)) bodiesToCheck.push_back(b); return bodiesToCheck; } The GridInfo::getBodiesToCheck() method IS THE BOTTLENECK. The bodiesToCheck vector must be filled for every body update because bodies could have moved meanwhile. It also needs to prevent duplicate collision checks. The contains function simply checks if the vector already contains a body with std::find. Collision is checked and resolved for every body in bodiesToCheck. That's it. So, I've been trying to optimize this broad-phase collision detection for quite a while now. Every time I try something else than the current architecture/setup, something doesn't go as planned or I make assumption about the simulation that later are proven to be false. My question is: how can I optimize the broad-phase of my collision engine maintaining the grouped bodies approach? Is there some kind of magic C++ optimization that can be applied here? Can the architecture be redesigned in order to allow for more performance? Actual implementation: SSVSCollsion Body.h, Body.cpp World.h, World.cpp Grid.h, Grid.cpp Cell.h, Cell.cpp GridInfo.h, GridInfo.cpp

  Read the article

• Plan your SharePoint 2010 Content Type Hub carefully

  - by Wayne

  Currently setting up a new environment on SharePoint 2010 (which was made available for download yesterday if anyone missed that :-). One of the new features of SharePoint 2010 is to set up a Content Type Hub (which is a part of the Metadata Service Application), which is a hub for all Content Types that other Site Collections can subscribe to. That is you only need to manage your content types in one location. Setting up the Content Type Hub is not that difficult but you must make it very careful to avoid a lot of work and troubleshooting. Here is a short tutorial with a few tips and tricks to make it easy for you to get started. Determine location of Content Type Hub First of all you need to decide in which Site Collection to place your Content Type Hub; in the root site collection or a specific one. I think using a specific Site Collection that only acts as a Content Type Hub is the best way, there are no best practice as of now. So I create a new Site Collection, at for instance http://server/sites/CTH/. The top-level site of this site collection should be for instance a Team Site. You cannot use Blank Site by default, which would have been the best option IMHO, since that site does not have the Taxonomy feature stapled upon it (check the TaxonomyFeatureStapler feature for which site templates that can be used). Configure Managed Metadata Service Application Next you need to create your Managed Metadata Service Application or configure the existing one, Central Administration > Application Management > Manage Service Applications. Select the Managed Metadata service application and click Properties if you already have created it. In the bottom of the dialog window when you are creating the service application or when you are editing the properties is a section to fill in the Content Type Hub. In this text box fill in the URL of the Content Type Hub. It is essential that you have decided where your Content Type Hub will reside, since once this is set you cannot change it. The only way to change it is to rebuild the whole managed metadata service application! Also make sure that you enter the URL correctly. I did copy and paste the URL once and got the /default.aspx in the URL which funked the whole service up. Make sure that you only use the URL to the Site Collection of the hub. Now you have to set up so that other Site Collections can consume the content types from the hub. This is done by selecting the connection for the managed metadata service application and clicking properties. A new dialog window opens and there you need to click the Consumes content types from the Content Type Gallery at nnnn. Now you are free to syndicate your Content Types from the Hub. Publish Content Types To publish a Content Type from the hub you need to go to Site Settings > Content Types and select the content type that you would like to publish. Then select Manage publishing for this content type. This takes you to a page from where you can Publish, Unpublish or Republish the content type. Once the content type is published it can take up to an hour for the subscribing Site Collections to get it. This is controlled by the Content Type Subscriber job that is scheduled to run once an hour. To speed up your publishing just go to Central Administration > Monitoring > Review Job Definitions > Content Type Subscriber and click Run now and you content type is very soon available for use. Published Content Type status You can check the status of the content type publishing in your destination site collections by selecting Site Settings > Content Type Publishing. From here you can force a refresh of all subscribed content types, see which ones that are subscribed and finally check the publishing error log. This error log is very useful for detecting errors during the publishing. For instance if you use any features such as ratings, metadata, document ids in your content type hub and your destination site collection does not have those features available this will be reported here.

  Read the article

• Prevent Changing the Screen Saver and Wallpaper in Windows 7

  - by Mysticgeek

  Sometimes you might not want users to have the ability to change Screen Savers and Wallpaper on Windows 7 workstations. Today we look at how to prevent them from changing either one or both. You might administer computers in your home or small office and find it annoying when users continuously change the wallpaper and Screen Savers to something obnoxious. A lot of times they might be inexperienced users and download these so-called “wonderful and free” Screen Saver/Wallpaper packages from shady sites that include loads of Spyware. Preventing users from changing them is another helpful tool to avoid wasteful time spent switching things back. Prevent Changing Screensavers & Wallpaper Using Group Policy Editor  Note: This method uses Group Policy which is not available in Home versions on Windows 7. Open the Start Menu and enter gpedit.msc into the Search box and hit Enter. When Local Group Policy Editor opens, navigate to User Configuration \ Administrative Templates \ Control Panel \ Personalization. Then in the right column double-click on Prevent changing desktop background. Now check the radio button next to Enabled, then click OK. Back on the Group Policy Screen, double-click on Prevent changing screen saver. In the next screen select the radio button next to Enable, click OK, then close out of Group Policy Editor. Now when a user goes into the Personalization section, the Desktop Background hyperlink is now grayed out and inactive. Notice the message One or more of the settings on this page has been disabled by the system administrator at the bottom of the section. If they click to change the Screen Saver, an error message will pop up letting them know the function is disabled. Prevent Changing Screensavers & Wallpaper Using a Registry Hack You can also make a couple Registry changes to prevent users from changing the Wallpaper & Screen Saver…which will work on Home versions of Windows 7. Before making any Registry changes make sure you back it up first. Open the Registry by typing regedit into the Search box in the Start menu and hit Enter. First we’ll start with the Wallpaper. Navigate to HKEY_CURRENT_USER\Software\Microsoft\Windows\CurrentVersion\Policies\System and create a new String Value and name it Wallpaper. Then modify the Value data to point to the location of the Wallpaper you want it to always be. Where in this example it’s our main wallpaper on our local drive…then click OK. Now let’s make sure they can’t change the Screen Saver. In the same Registry location, we need to make a new DWORD (32-bit) Value. Give it the Value name of NoDispScrSavPage and the value data of “1” and click OK. Close out of the Registry and restart the machine or simply log off then back on again for the changes to take effect. Results For the Wallpapers, a user can still go in and see the selections, however if they try to change it to something else… It will just go back to the Personalization screen and no changes will be made, as we set the value to only be the background we specified. If the user tries to make a change to the Screen Saver, the hyperlink will be grayed out and inactive, and the message One or more of the settings on this page has been disabled by the system administrator will be displayed at the bottom of the section. Conclusion If you’re tired of users changing the Wallpaper and Screen Saver, and want another way to help avoid Malware, locking down these settings can help a lot. Again, before making any changes to the Registry, make sure to back it up. These settings should work in Vista and XP as well. Similar Articles Productive Geek Tips Save 1-4% More Battery Life With Windows Vista Battery SaverCustomize Your Windows Vista Logon ScreenEnable "Ubuntu Style" Logons in Windows VistaManage the Delete Confirmation Dialog box in Windows 7Dual Monitors: Use a Different Wallpaper on Each Desktop TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Acronis Online Backup DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows Fun with 47 charts and graphs Tomorrow is Mother’s Day Check the Average Speed of YouTube Videos You’ve Watched OutlookStatView Scans and Displays General Usage Statistics How to Add Exceptions to the Windows Firewall Office 2010 reviewed in depth by Ed Bott

  Read the article

• How big can my SharePoint 2010 installation be?

  - by Sahil Malik

  Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). 3 years ago, I had published “How big can my SharePoint 2007 installation be?” Well, SharePoint 2010 has significant under the covers improvements. So, how big can your SharePoint 2010 installation be? There are three kinds of limits you should know about Hard limits that cannot be exceeded by design. Configurable that are, well configurable – but the default values are set for a pretty good reason, so if you need to tweak, plan and understand before you tweak. Soft limits, you can exceed them, but it is not recommended that you do. Before you read any of the limits, read these two important disclaimers - 1. The limit depends on what you’re doing. So, don’t take the below as gospel, the reality depends on your situation. 2. There are many additional considerations in planning your SharePoint solution scalability and performance, besides just the below. So with those in mind, here goes.   Hard Limits - Zones per web app 5 RBS NAS performance Time to first byte of any response from NAS must be less than 20 milliseconds List row size 8000 bytes driven by how SP stores list items internally Max file size 2GB (default is 50MB, configurable). RBS does not increase this limit. Search metadata properties 10,000 per item crawled (pretty damn high, you’ll never need to worry about it). Max # of concurrent in-memory enterprise content types 5000 per web server, per tenant Max # of external system connections 500 per web server PerformancePoint services using Excel services as a datasource No single query can fetch more than 1 million excel cells Office Web Apps Renders One doc per second, per CPU core, per Application server, limited to a maximum of 8 cores.   Configurable Limits - Row Size Limit 6, configurable via SPWebApplication.MaxListItemRowStorage property List view lookup 8 join operations per query Max number of list items that a single operation can process at one time in normal hours 5000 Configurable via SPWebApplication.MaxItemsPerThrottledOperation   Also you get a warning at 3000, which is configurable via SPWebApplication.MaxItemsPerThrottledOperationWarningLevel   In addition, throttle overrides can be requested, throttle overrides can be disabled, and time windows can be set when throttle is disabled. Max number of list items for administrators that a single operation can process at one time in normal hours 20000 Configurable via SPWebApplication.MaxItemsPerThrottledOperationOverride Enumerating subsites 2000 Word and Powerpoint co-authoring simultaneous editors 10 (Hard limit is 99). # of webparts on a page 25 Search Crawl DBs per search service app 10 Items per crawl db 25 million Search Keywords 200 per site collection. There is a max limit of 5000, which can then be modified by editing the web.config/client.config. Concurrent # of workflows on a content db 15. Workflows running in the timer service are not counted in this limit. Further workflows are queued. Can be configured via the Set-SPFarmConfig powershell commandlet. Number of events picked by the workflow timer job and delivered to workflows 100. You can increase this limit by running additional instances of the workflow timer service. Visio services file size 50MB Visio web drawing recalculation timeout 120 seconds Configurable via – Powershell commandlet Set-SPVisioPerformance Visio services minimum and maximum cache age for data connected diagrams 0 to 24 hours. Default is 60 minutes. Configurable via – Powershell commandlet Set-SPVisioPerformance   Soft Limits - Content Databases 300 per web app Application Pools 10 per web server Managed Paths 20 per web app Content Database Size 200GB per Content DB Size of 1 site collection 100GB # of sites in a site collection 250,000 Documents in a library 30 Million, with nesting. Depends heavily on type and usage and size of documents. Items 30 million. Depends heavily on usage of items. SPGroups one SPUser can be in 5000 Users in a site collection 2 million, depends on UI, nesting, containers and underlying user store AD Principals in a SPGroup 5000 SPGroups in a site collection 10000 Search Service Instances 20 Indexed Items in Search 100 million Crawl Log entries 100 million Search Alerts 1 million per search application Search Crawled Properties 1/2 million URL removals in search 100 removals per operation User Profiles 2 million per service application Social Tags 500 million per social database Comment on the article ....

  Read the article

• JQuery and the multiple date selector

  - by David Carter

  Overview I recently needed to build a web page that would allow a user to capture some information and most importantly select multiple dates. This functionality was core to the application and hence had to be easy and quick to do. This is a public facing website so it had to be intuitive and very responsive. On the face of it it didn't seem too hard, I know enough juery to know what it is capable of and I was pretty sure that there would be some plugins that would help speed things along the way. I'm using ASP.Net MVC for this project as I really like the control that it gives you over the generated html and javascript. After years of Web Forms development it makes me feel like a web developer again and puts a smile on my face, that can only be a good thing!   The Calendar The first item that I needed on this page was a calender and I wanted the ability to: have the calendar be always visible select/deselect multiple dates at the same time bind to the select/deselect event so that I could update a seperate listing of the selected dates allow the user to move to another month and still have the calender remember any dates in the previous month I was hoping that there was a jQuery plugin that would meet my requirements and luckily there was! The jQuery datepicker does everything I want and there is quite a bit of documentation on how to use it. It makes use of a javascript date library date.js which I had not come across before but has a number of very useful date utilities that I have used elsewhere in the project. As you can see from the image there still needs to be some styling done! But there will be plenty of time for that later. The calendar clearly shows which dates the user has selected in red and i also make use of an unordered list to show the the selected dates so the user can always clearly see what has been selected even if they move to another month on the calendar. The javascript code that is responsible for listening to events on the calendar and synchronising the list look as follows: <script type="text/javascript">     $(function () {         $('.datepicker').datePicker({ inline: true, selectMultiple: true })         .bind(             'dateSelected',             function (e, selectedDate, $td, state) {                                 var dateInMillisecs = selectedDate.valueOf();                 if (state) { //adding a date                     var newDate = new Date(selectedDate);                     //insert the new item into the correct place in the list                     var listitems = $('#dateList').children('li').get();                     var liToAdd = "<li id='" + dateInMillisecs + "' >" + newDate.toString('ddd dd MMM yyyy') + "</li>";                     var targetIndex = -1;                     for (var i = 0; i < listitems.length; i++) {                         if (dateInMillisecs <= listitems[i].id) {                             targetIndex = i;                             break;                         }                     }                     if (targetIndex < 0) {                         $('#dateList').append(liToAdd);                     }                     else {                         $($('#dateList').children("li")[targetIndex]).before(liToAdd);                     }                 }                 else {//removing a date                     $('ul #' + dateInMillisecs).remove();                 }             }         )     }); When a date is selected on the calendar a function is called with a number of parameters passed to it. The ones I am particularly interested in are selectedDate and state. State tells me whether the user has selected or deselected the date passed in the selectedDate parameter. The <ul> that I am using to show the date has an id of dateList and this is what I will be adding and removing <li> items from. To make things a little more logical for the user I decided that the date should be sorted in chronological order, this means that each time a new date is selected it need to be placed in the correct position in the list. One way to do this would be just to append a new <li> to the list and then sort the whole list. However the approach I took was to get an array of all the items in the list var listitems = ('#dateList').children('li').get(); and then check the value of each item in the array against my new date and as soon as I found the case where the new date was less than the current item remember that position in the list as this is where I would insert it later. To make this work easily I decided to store a numeric representation of each date in the list in the id attribute of each <li> element. Fortunately javascript natively stores dates as the number of milliseconds since 1 Jan 1970. var dateInMillisecs = selectedDate.valueOf(); Please note that this is the value of the date in UTC! I always like to store dates in UTC as I learnt a long time ago that it saves a lot of refactoring at a later date... When I convert the dates back to their original back on the server I will need the UTC offset that was used when calculating the dates, this and how to actually serialise the dates and get them posted back will be the subject of another post.

  Read the article

• EHome IR receiver and Ubuntu 13 - any one have this working?

  - by squakie

  I have a "generic" USB IR receiver I purchased off of Ebay to make my life a little easier with XBMC on my Ubuntu box. I am currently running 13.10 and have never tried nor have any knowledge of IR in Ubuntu. I know of lirc, and I know a lot of it is now included in the kernel. My understanding is that lirc in basic terms maps pulses from an remote control to functions - like keyboard or mouse clicks. It is also my understanding that I might still need a driver or something for my device. lsusb shows the device as: Bus 006 Device 003: ID 147a:e016 Formosa Industrial Computing, Inc. eHome Infrared Receiver dmesg shows the following pertaining to the device: [43635.311985] usb 6-2: USB disconnect, device number 2 [43641.344387] usb 6-2: new full-speed USB device number 3 using ohci-pci [43641.543454] usb 6-2: New USB device found, idVendor=147a, idProduct=e016 [43641.543467] usb 6-2: New USB device strings: Mfr=1, Product=2, SerialNumber=3 [43641.543473] usb 6-2: Product: eHome Infrared Transceiver [43641.543478] usb 6-2: Manufacturer: Formosa21 [43641.543483] usb 6-2: SerialNumber: FM000623 [43641.555736] Registered IR keymap rc-rc6-mce [43641.555968] input: Media Center Ed. eHome Infrared Remote Transceiver (147a:e016) as /devices/pci0000:00/0000:00:12.0/usb6/6-2/6-2:1.0/rc/rc2/input15 [43641.556221] rc2: Media Center Ed. eHome Infrared Remote Transceiver (147a:e016) as /devices/pci0000:00/0000:00:12.0/usb6/6-2/6-2:1.0/rc/rc2 [43641.556584] input: MCE IR Keyboard/Mouse (mceusb) as /devices/virtual/input/input16 [43641.557186] rc rc2: lirc_dev: driver ir-lirc-codec (mceusb) registered at minor = 0 [43641.731965] mceusb 6-2:1.0: Registered Formosa21 eHome Infrared Transceiver with mce emulator interface version 1 [43641.731978] mceusb 6-2:1.0: 2 tx ports (0x0 cabled) and 2 rx sensors (0x0 active) (excuse the double spacing, but I had to put in extra cr/lf using "enter" or the entire thing was just one long unreadable string). When I connect the same IR receiver to a Raspberry Pi running OpenELEC/XBMC there is no flashing led unless I press a remote button, and the device works. In Ubuntu, the led is constantly blinking, and nothing happens when I press a remote key. I tried the command line program to test but it never echoes anything back to the terminal window. I believe it must need some sort of driver or something else, but I am completely in the dark on this. If it matters I also have: - Logitech wireless keyboard/mouse USB receiver - Tenda USB wireless adapter And.....I've also noticed some errors now that show in dmesg that seem to somehow related to HDMI if that makes any sense: 46721.144731] HDMI: ELD buf size is 0, force 128 [46721.144749] HDMI: invalid ELD data byte 0 [46721.444025] HDMI: ELD buf size is 0, force 128 [46721.444061] HDMI: invalid ELD data byte 0 [46721.743375] HDMI: ELD buf size is 0, force 128 [46721.743411] HDMI: invalid ELD data byte 0 [46722.043092] HDMI: ELD buf size is 0, force 128 [46722.043118] HDMI: invalid ELD data byte 0 [46722.343086] HDMI: ELD buf size is 0, force 128 [46722.343122] HDMI: invalid ELD data byte 0 [46722.642517] HDMI: ELD buf size is 0, force 128 [46722.642574] HDMI: invalid ELD data byte 0 [46722.942459] HDMI: ELD buf size is 0, force 128 [46722.942485] HDMI: invalid ELD data byte 0 [46723.242103] HDMI: ELD buf size is 0, force 128 [46723.242129] HDMI: invalid ELD data byte 0 [46723.541877] HDMI: ELD buf size is 0, force 128 [46723.541923] HDMI: invalid ELD data byte 0 [58366.651954] HDMI: ELD buf size is 0, force 128 [58366.651980] HDMI: invalid ELD data byte 0 [58366.951523] HDMI: ELD buf size is 0, force 128 [58366.951549] HDMI: invalid ELD data byte 0 [58367.251075] HDMI: ELD buf size is 0, force 128 [58367.251121] HDMI: invalid ELD data byte 0 [58367.550517] HDMI: ELD buf size is 0, force 128 [58367.550563] HDMI: invalid ELD data byte 0 [58367.850219] HDMI: ELD buf size is 0, force 128 [58367.850256] HDMI: invalid ELD data byte 0 [58368.150160] HDMI: ELD buf size is 0, force 128 [58368.150185] HDMI: invalid ELD data byte 0 [58368.449544] HDMI: ELD buf size is 0, force 128 [58368.449570] HDMI: invalid ELD data byte 0 [58368.749583] HDMI: ELD buf size is 0, force 128 [58368.749629] HDMI: invalid ELD data byte 0 [58369.049280] HDMI: ELD buf size is 0, force 128 [58369.049326] HDMI: invalid ELD data byte 0 [58394.706273] HDMI: ELD buf size is 0, force 128 [58394.706300] HDMI: invalid ELD data byte 0 [58394.706350] HDMI: ELD buf size is 0, force 128 [58394.706367] HDMI: invalid ELD data byte 0 [58395.003032] HDMI: ELD buf size is 0, force 128 [58395.003058] HDMI: invalid ELD data byte 0 [58395.302680] HDMI: ELD buf size is 0, force 128 [58395.302705] HDMI: invalid ELD data byte 0 [58395.602442] HDMI: ELD buf size is 0, force 128 [58395.602477] HDMI: invalid ELD data byte 0 [58395.902143] HDMI: ELD buf size is 0, force 128 [58395.902179] HDMI: invalid ELD data byte 0 [58396.201839] HDMI: ELD buf size is 0, force 128 [58396.201875] HDMI: invalid ELD data byte 0 [58396.501538] HDMI: ELD buf size is 0, force 128 [58396.501574] HDMI: invalid ELD data byte 0 [58396.801232] HDMI: ELD buf size is 0, force 128 [58396.801268] HDMI: invalid ELD data byte 0 [58397.100583] HDMI: ELD buf size is 0, force 128 [58397.100627] HDMI: invalid ELD data byte 0 [63095.766042] systemd-hostnamed[8875]: Warning: nss-myhostname is not installed. Changing the local hostname might make it unresolveable. Please install nss-myhostname! dave@davepc:~$ EDIT: Maybe another way to look at this would be what does Ubuntu do or not do that OpenELEC does or doesn't do (on Raspberry Pi) such that it works in OpenELEC but not in Ubuntu?

  Read the article

• SQL SERVER – Planned and Unplanned Availablity Group Failovers – Notes from the Field #031

  - by Pinal Dave

  [Note from Pinal]: This is a new episode of Notes from the Fields series. AlwaysOn is a very complex subject and not everyone knows many things about this. The matter of the fact is there is very little information available on this subject online and not everyone knows everything about this. This is why when a very common question related to AlwaysOn comes, people get confused. In this episode of the Notes from the Field series database expert John Sterrett (Group Principal at Linchpin People) explains a very common issue DBAs and Developer faces in their career and is related to Planned and Unplanned Availablity Group Failovers. Linchpin People are database coaches and wellness experts for a data driven world. Read the experience of John in his own words. Whenever a disaster occurs it will be a stressful scenario regardless of how small or big the disaster is. This gets multiplied when it is your first time working with newer technology or the first time you are going through a disaster without a proper run book. Today, were going to help you establish a run book for creating a planned failover with availability groups. To make today’s session simple were going to have two instances of SQL Server 2012 included in an availability group and walk through the steps of doing an unplanned failover.  We will focus on using the user interface and T-SQL to complete the failovers. We are going to use a two replica Availability Group where each replica is in another location. Therefore, we will be covering Asynchronous (non automatic failover) the following is a breakdown of our availability group utilized today. Seeing the following screen might be scary the first time you come across an unplanned failover.  It looks like our test database used in this Availability Group is not functional and it currently isn’t. The database status is not synchronizing which makes sense because the primary replica went down so it couldn’t synchronize. With that said, we can still failover and make it functional while we troubleshoot why we lost our primary replica. To start we are going to right click on the availability group that needs to be restarted and select failover. This will bring up the following wizard, which will walk you through several steps needed to complete the failover using the graphical user interface provided with SQL Server Management Studio (SSMS). You are going to see warning messages simply because we are in Asynchronous commit mode and can not guarantee ‘no data loss’ when we do failover. Just incase you missed it; you get another screen warning you about potential data loss because we are in Asynchronous mode. Next we get to connect to the specific replica we want to become the primary replica after the failover occurs. In our case, we only have two replicas so this is trivial. In order to failover, it’s required to connect to the replica that will become primary.  The following screen shows that the connection has been made successfully. Next, you will see the final summary screen. Once again, this reminds you that the failover action will cause data loss as were using Asynchronous commit mode due to the distance between instances used for disaster recovery. Finally, once the failover is completed you will see the following screen. If you followed along this long you might be wondering what T-SQL scripts are generated for clicking through all the sections of the wizard. If you have used Database Mirroring in the past you might be surprised.  It’s not too different, which makes sense because the data is being replicated via SQL Server endpoints just like the good old database mirroring. Now were going to take a look at how to do a failover with just T-SQL. First, were going to need to open a new query window and run our query in SQLCMD mode. Just incase you haven’t used SQLCMD mode before we will show you how to enable it below. Now you can run the following statement. Notice, we connect to the replica we want to become primary after failover and specify to force failover to allow data loss. We can use the following script to failback over when our primary instance comes back online. -- YOU MUST EXECUTE THE FOLLOWING SCRIPT IN SQLCMD MODE. :Connect SQL2012PROD1 ALTER AVAILABILITY GROUP [AGSQL2] FORCE_FAILOVER_ALLOW_DATA_LOSS; GO Are your servers running at optimal speed or are you facing any SQL Server Performance Problems? If you want to get started with the help of experts read more over here: Fix Your SQL Server. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Notes from the Field, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

  Read the article

• Spotlight on Claims: Serving Customers Under Extreme Conditions

  - by [email protected]

  Oracle Insurance's director of marketing for EMEA, John Sinclair, recently attended the CII Spotlight on Claims event in London. Bad weather and its implications for the insurance industry have become very topical as the frequency and diversity of natural disasters - including rains, wind and snow - has surged across Europe this winter. On England's wettest day on record, the county of Cumbria was flooded with 12 inches of rain within 24 hours. Freezing temperatures wreaked havoc on European travel, causing high speed TVG trains to break down and stranding hundreds of passengers under the English Chanel in a tunnel all night long without heat or electricity. A storm named Xynthia thrashed France and surrounding countries with hurricane force, flooding ports and killing 51 people. After the Spring Equinox, insurers may have thought the worst had past. Then came along Eyjafjallajökull, spewing out vast quantities of volcanic ash in what is turning out to be one of most costly natural disasters in history. Such extreme events challenge insurance companies' ability to service their customers just when customers need their help most. When you add economic downturn and competitive pressures to the mix, insurers are further stretched and required to continually learn and innovate to meet high customer expectations with reduced budgets. These and other issues were hot topics of discussion at the recent "Spotlight on Claims" seminar in London, focused on how weather is affecting claims and the insurance industry. The event was organized by the CII (Chartered Insurance Institute), a group with 90,000 members. CII has been at the forefront in setting professional standards for the insurance industry for over a century. Insurers came to the conference to hear how they could better serve their customers under extreme weather conditions, learn from the experience of their peers, and hear about technological breakthroughs in climate modeling, geographic intelligence and IT. Customer case studies at the conference highlighted the importance of effective and constant communication in handling the overflow of catastrophe related claims. First and foremost is the need to rapidly establish initial communication with claimants to build their confidence in a positive outcome. Ongoing communication then needs to be continued throughout the claims cycle to mange expectations and maintain ownership of the process from start to finish. Strong internal communication to support frontline staff was also deemed critical to successful crisis management, as was communication with the broader insurance ecosystem to tap into extended resources and business intelligence. Advances in technology - such web based systems to access policies and enter first notice of loss in the field - as well as customer-focused self-service portals and multichannel alerts, are instrumental in improving customer satisfaction and helping insurers to deal with the claims surge, which often can reach four or more times normal workloads. Dynamic models of the global climate system can now be used to better understand weather-related risks, and as these models mature it is hoped that they will soon become more accurate in predicting the timing of catastrophic events. Geographic intelligence is also being used within a claims environment to better assess loss reserves and detect fraud. Despite these advances in dealing with catastrophes and predicting their occurrence, there will never be a substitute for qualified front line staff to deal with customers. In light of pressures to streamline efficiency, there was debate as to whether outsourcing was the solution, or whether it was better to build on the people you have. In the final analysis, nearly everybody agreed that in the future insurance companies would have to work better and smarter to keep on top. An appeal was also made for greater collaboration amongst industry participants in dealing with the extreme conditions and systematic stress brought on by natural disasters. It was pointed out that the public oftentimes judged the industry as a whole rather than the individual carriers when it comes to freakish events, and that all would benefit at such times from the pooling of limited resources and professional skills rather than competing in silos for competitive advantage - especially the end customer. One case study that stood out was on how The Motorists Insurance Group was able to power through one of the most devastating catastrophes in recent years - Hurricane Ike. The keys to Motorists' success were superior people, processes and technology. They did a lot of upfront planning and invested in their people, creating a healthy team environment that delivered "max service" even when they were experiencing the same level of devastation as the rest of the population. Processes were rapidly adapted to meet the challenge of the catastrophe and continually adapted to Ike's specific conditions as they evolved. Technology was fundamental to the execution of their strategy, enabling them anywhere access, on the fly reassigning of resources and rapid training to augment the work force. You can learn more about the Motorists experience by watching this video. John Sinclair is marketing director for Oracle Insurance in EMEA. He has more than 20 years of experience in insurance and financial services.

  Read the article

• Killing Stuck Child JVM's

  - by ACShorten

  Note: This facility only applies to Oracle Utilities Application Framework products using COBOL. In some situations, the Child JVM's may spin. This causes multiple startup/shutdown Child JVM messages to be displayed and recursive child JVM's to be initiated and shunned. If the following: Unable to establish connection on port …. after waiting .. seconds.The issue can be caused intermittently by CPU spins in connection to the creation of new processes, specifically Child JVMs. Recursive (or double) invocation of the System.exit call in the remote JVM may be caused by a Process.destroy call that the parent JVM always issues when shunning a JVM. The issue may happen when the thread in the parent JVM that is responsible for the recycling gets stuck and it affects all child JVMs. If this issue occurs at your site then there are a number of options to address the issue: Configure an Operating System level kill command to force the Child JVM to be shunned when it becomes stuck. Configure a Process.destroy command to be used if the kill command is not configured or desired. Specify a time tolerance to detect stuck threads before issuing the Process.destroy or kill commands. Note: This facility is also used when the Parent JVM is also shutdown to ensure no zombie Child JVM's exit. The following additional settings must be added to the spl.properties for the Business Application Server to use this facility: spl.runtime.cobol.remote.kill.command – Specify the command to kill the Child JVM process. This can be a command or specify a script to execute to provide additional information. The kill.command property can accept two arguments, {pid} and {jvmNumber}, in the specified string. The arguments must be enclosed in curly braces as shown here. Note: The PID will be appended to the killcmd string, unless the {pid} and {jvmNumber} arguments are specified. The jvmNumber can be useful if passed to a script for logging purposes. Note: If a script is used it must be in the path and be executable by the OS user running the system. spl.runtime.cobol.remote.destroy.enabled – Specify whether to use the Process.destroy command instead of the kill command. Specify true or false. Default value is false. Note: Unless otherwise required, it is recommended to use the kill command option if shunning JVM's is an issue. There this value can remain its default value, false, unless otherwise required. spl.runtime.cobol.remote.kill.delaysecs – Specify the number of seconds to wait for the Child JVM to terminate naturally before issuing the Process.destroy or kill commands. Default is 10 seconds. For example: spl.runtime.cobol.remote.kill.command=kill -9 {pid} {jvmNumber}spl.runtime.cobol.remote.destroy.enabled=falsespl.runtime.cobol.remote.kill.delaysecs=10 When a Child JVM is to be recycled, these properties are inspected and the spl.runtime.cobol.remote.kill.command, executed if provided. This is done after waiting for spl.runtime.cobol.remote.kill.delaysecs seconds to give the JVM time to shut itself down. The spl.runtime.cobol.remote.destroy.enabled property must be set to true AND the spl.runtime.cobol.remote.kill.command omitted for the original Process.destroy command to be used on the process. Note: By default the spl.runtime.cobol.remote.destroy enabled is set to false and is therefore disabled. If neither spl.runtime.cobol.remote.kill.command nor spl.runtime.cobol.remote.destroy.enabled is specified, child JVMs will not beforcibly killed. They will be left to shut themselves down (which may lead to orphan JVMs). If both are specified, the spl.runtime.cobol.remote.kill.command is preferred and spl.runtime.cobol.remote.destroy.enabled defaulted to false.It is recommended to invoke a script to issue the direct kill command instead of directly using the kill -9 commands.For example, the following sample script ensures that the process Id is an active cobjrun process before issuing the kill command: forcequit.sh #!/bin/shTHETIME=`date +"%Y-%m-%d %H:%M:%S"`if [ "$1" = "" ]then  echo "$THETIME: Process Id is required" >>$SPLSYSTEMLOGS/forcequit.log  exit 1fijavaexec=cobjrunps e $1 | grep -c $javaexecif [ $? = 0 ]then  echo "$THETIME: Process $1 is an active $javaexec process -- issuing kill-9 $1" >>$SPLSYSTEMLOGS/forcequit.log  kill -9 $1exit 0else  echo "$THETIME: Process id $1 is not a $javaexec process or not active --  kill will not be issued" >>$SPLSYSTEMLOGS/forcequit.logexit 1fi This script's name would then be specified as the value for the spl.runtime.cobol.remote.kill.command property, for example: spl.runtime.cobol.remote.kill.command=forcequit.sh The forcequit script does not have any explicit parameters but pid is passed automatically. To use the jvmNumber parameter it must explicitly specified in the command. For example, to call script forcequit.sh and pass it the pid and the child JVM number, specify it as follows: spl.runtime.cobol.remote.kill.command=forcequit.sh {pid} {jvmNumber} The script can then use the JVM number for logging purposes or to further ensure that the correct pid is being killed.If the arguments are omitted, the pid is automatically appended to the spl.runtime.cobol.remote.kill.command string. To use this facility the following patches must be installed: Patch 13719584 for Oracle Utilities Application Framework V2.1, Patches 13684595 and 13634933 for Oracle Utilities Application Framework V2.2 Group Fix 4 (as Patch 13640668) for Oracle Utilities Application Framework V4.1.

  Read the article

• Big Data – Evolution of Big Data – Day 3 of 21

  - by Pinal Dave

  In yesterday’s blog post we answered what is the Big Data. Today we will understand why and how the evolution of Big Data has happened. Though the answer is very simple, I would like to tell it in the form of a history lesson. Data in Flat File In earlier days data was stored in the flat file and there was no structure in the flat file.  If any data has to be retrieved from the flat file it was a project by itself. There was no possibility of retrieving the data efficiently and data integrity has been just a term discussed without any modeling or structure around. Database residing in the flat file had more issues than we would like to discuss in today’s world. It was more like a nightmare when there was any data processing involved in the application. Though, applications developed at that time were also not that advanced the need of the data was always there and there was always need of proper data management. Edgar F Codd and 12 Rules Edgar Frank Codd was a British computer scientist who, while working for IBM, invented the relational model for database management, the theoretical basis for relational databases. He presented 12 rules for the Relational Database and suddenly the chaotic world of the database seems to see discipline in the rules. Relational Database was a promising land for all the unstructured database users. Relational Database brought into the relationship between data as well improved the performance of the data retrieval. Database world had immediately seen a major transformation and every single vendors and database users suddenly started to adopt the relational database models. Relational Database Management Systems Since Edgar F Codd proposed 12 rules for the RBDMS there were many different vendors who started them to build applications and tools to support the relationship between database. This was indeed a learning curve for many of the developer who had never worked before with the modeling of the database. However, as time passed by pretty much everybody accepted the relationship of the database and started to evolve product which performs its best with the boundaries of the RDBMS concepts. This was the best era for the databases and it gave the world extreme experts as well as some of the best products. The Entity Relationship model was also evolved at the same time. In software engineering, an Entity–relationship model (ER model) is a data model for describing a database in an abstract way. Enormous Data Growth Well, everything was going fine with the RDBMS in the database world. As there were no major challenges the adoption of the RDBMS applications and tools was pretty much universal. There was a race at times to make the developer’s life much easier with the RDBMS management tools. Due to the extreme popularity and easy to use system pretty much every data was stored in the RDBMS system. New age applications were built and social media took the world by the storm. Every organizations was feeling pressure to provide the best experience for their users based the data they had with them. While this was all going on at the same time data was growing pretty much every organization and application. Data Warehousing The enormous data growth now presented a big challenge for the organizations who wanted to build intelligent systems based on the data and provide near real time superior user experience to their customers. Various organizations immediately start building data warehousing solutions where the data was stored and processed. The trend of the business intelligence becomes the need of everyday. Data was received from the transaction system and overnight was processed to build intelligent reports from it. Though this is a great solution it has its own set of challenges. The relational database model and data warehousing concepts are all built with keeping traditional relational database modeling in the mind and it still has many challenges when unstructured data was present. Interesting Challenge Every organization had expertise to manage structured data but the world had already changed to unstructured data. There was intelligence in the videos, photos, SMS, text, social media messages and various other data sources. All of these needed to now bring to a single platform and build a uniform system which does what businesses need. The way we do business has also been changed. There was a time when user only got the features what technology supported, however, now users ask for the feature and technology is built to support the same. The need of the real time intelligence from the fast paced data flow is now becoming a necessity. Large amount (Volume) of difference (Variety) of high speed data (Velocity) is the properties of the data. The traditional database system has limits to resolve the challenges this new kind of the data presents. Hence the need of the Big Data Science. We need innovation in how we handle and manage data. We need creative ways to capture data and present to users. Big Data is Reality! Tomorrow In tomorrow’s blog post we will try to answer discuss Basics of Big Data Architecture. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

  Read the article

• Auto DOP and Concurrency

  - by jean-pierre.dijcks

  After spending some time in the cloud, I figured it is time to come down to earth and start discussing some of the new Auto DOP features some more. As Database Machines (the v2 machine runs Oracle Database 11.2) are effectively selling like hotcakes, it makes some sense to talk about the new parallel features in more detail. For basic understanding make sure you have read the initial post. The focus there is on Auto DOP and queuing, which is to some extend the focus here. But now I want to discuss the concurrency a little and explain some of the relevant parameters and their impact, specifically in a situation with concurrency on the system. The goal of Auto DOP The idea behind calculating the Automatic Degree of Parallelism is to find the highest possible DOP (ideal DOP) that still scales. In other words, if we were to increase the DOP even more  above a certain DOP we would see a tailing off of the performance curve and the resource cost / performance would become less optimal. Therefore the ideal DOP is the best resource/performance point for that statement. The goal of Queuing On a normal production system we should see statements running concurrently. On a Database Machine we typically see high concurrency rates, so we need to find a way to deal with both high DOP’s and high concurrency. Queuing is intended to make sure we Don’t throttle down a DOP because other statements are running on the system Stay within the physical limits of a system’s processing power Instead of making statements go at a lower DOP we queue them to make sure they will get all the resources they want to run efficiently without trashing the system. The theory – and hopefully – practice is that by giving a statement the optimal DOP the sum of all statements runs faster with queuing than without queuing. Increasing the Number of Potential Parallel Statements To determine how many statements we will consider running in parallel a single parameter should be looked at. That parameter is called PARALLEL_MIN_TIME_THRESHOLD. The default value is set to 10 seconds. So far there is nothing new here…, but do realize that anything serial (e.g. that stays under the threshold) goes straight into processing as is not considered in the rest of this post. Now, if you have a system where you have two groups of queries, serial short running and potentially parallel long running ones, you may want to worry only about the long running ones with this parallel statement threshold. As an example, lets assume the short running stuff runs on average between 1 and 15 seconds in serial (and the business is quite happy with that). The long running stuff is in the realm of 1 – 5 minutes. It might be a good choice to set the threshold to somewhere north of 30 seconds. That way the short running queries all run serial as they do today (if it ain’t broken, don’t fix it) and allows the long running ones to be evaluated for (higher degrees of) parallelism. This makes sense because the longer running ones are (at least in theory) more interesting to unleash a parallel processing model on and the benefits of running these in parallel are much more significant (again, that is mostly the case). Setting a Maximum DOP for a Statement Now that you know how to control how many of your statements are considered to run in parallel, lets talk about the specific degree of any given statement that will be evaluated. As the initial post describes this is controlled by PARALLEL_DEGREE_LIMIT. This parameter controls the degree on the entire cluster and by default it is CPU (meaning it equals Default DOP). For the sake of an example, let’s say our Default DOP is 32. Looking at our 5 minute queries from the previous paragraph, the limit to 32 means that none of the statements that are evaluated for Auto DOP ever runs at more than DOP of 32. Concurrently Running a High DOP A basic assumption about running high DOP statements at high concurrency is that you at some point in time (and this is true on any parallel processing platform!) will run into a resource limitation. And yes, you can then buy more hardware (e.g. expand the Database Machine in Oracle’s case), but that is not the point of this post… The goal is to find a balance between the highest possible DOP for each statement and the number of statements running concurrently, but with an emphasis on running each statement at that highest efficiency DOP. The PARALLEL_SERVER_TARGET parameter is the all important concurrency slider here. Setting this parameter to a higher number means more statements get to run at their maximum parallel degree before queuing kicks in.  PARALLEL_SERVER_TARGET is set per instance (so needs to be set to the same value on all 8 nodes in a full rack Database Machine). Just as a side note, this parameter is set in processes, not in DOP, which equates to 4* Default DOP (2 processes for a DOP, default value is 2 * Default DOP, hence a default of 4 * Default DOP). Let’s say we have PARALLEL_SERVER_TARGET set to 128. With our limit set to 32 (the default) we are able to run 4 statements concurrently at the highest DOP possible on this system before we start queuing. If these 4 statements are running, any next statement will be queued. To run a system at high concurrency the PARALLEL_SERVER_TARGET should be raised from its default to be much closer (start with 60% or so) to PARALLEL_MAX_SERVERS. By using both PARALLEL_SERVER_TARGET and PARALLEL_DEGREE_LIMIT you can control easily how many statements run concurrently at good DOPs without excessive queuing. Because each workload is a little different, it makes sense to plan ahead and look at these parameters and set these based on your requirements.

  Read the article

• CLR via C# 3rd Edition is out

  - by Abhijeet Patel

  Time for some book news update. CLR via C#, 3rd Edition seems to have been out for a little while now. The book was released in early Feb this year, and needless to say my copy is on it’s way. I can barely wait to dig in and chew on the goodies that one of the best technical authors and software professionals I respect has in store. The 2nd edition of the book was an absolute treat and this edition promises to be no less. Here is a brief description of what’s new and updated from the 2nd edition. Part I – CLR Basics Chapter 1-The CLR’s Execution Model Added about discussion about C#’s /optimize and /debug switches and how they relate to each other. Chapter 2-Building, Packaging, Deploying, and Administering Applications and Types Improved discussion about Win32 manifest information and version resource information. Chapter 3-Shared Assemblies and Strongly Named Assemblies Added discussion of TypeForwardedToAttribute and TypeForwardedFromAttribute. Part II – Designing Types Chapter 4-Type Fundamentals No new topics. Chapter 5-Primitive, Reference, and Value Types Enhanced discussion of checked and unchecked code and added discussion of new BigInteger type. Also added discussion of C# 4.0’s dynamic primitive type. Chapter 6-Type and Member Basics No new topics. Chapter 7-Constants and Fields No new topics. Chapter 8-Methods Added discussion of extension methods and partial methods. Chapter 9-Parameters Added discussion of optional/named parameters and implicitly-typed local variables. Chapter 10-Properties Added discussion of automatically-implemented properties, properties and the Visual Studio debugger, object and collection initializers, anonymous types, the System.Tuple type and the ExpandoObject type. Chapter 11-Events Added discussion of events and thread-safety as well as showing a cool extension method to simplify the raising of an event. Chapter 12-Generics Added discussion of delegate and interface generic type argument variance. Chapter 13-Interfaces No new topics. Part III – Essential Types Chapter 14-Chars, Strings, and Working with Text No new topics. Chapter 15-Enums Added coverage of new Enum and Type methods to access enumerated type instances. Chapter 16-Arrays Added new section on initializing array elements. Chapter 17-Delegates Added discussion of using generic delegates to avoid defining new delegate types. Also added discussion of lambda expressions. Chapter 18-Attributes No new topics. Chapter 19-Nullable Value Types Added discussion on performance. Part IV – CLR Facilities Chapter 20-Exception Handling and State Management This chapter has been completely rewritten. It is now about exception handling and state management. It includes discussions of code contracts and constrained execution regions (CERs). It also includes a new section on trade-offs between writing productive code and reliable code. Chapter 21-Automatic Memory Management Added discussion of C#’s fixed state and how it works to pin objects in the heap. Rewrote the code for weak delegates so you can use them with any class that exposes an event (the class doesn’t have to support weak delegates itself). Added discussion on the new ConditionalWeakTable class, GC Collection modes, Full GC notifications, garbage collection modes and latency modes. I also include a new sample showing how your application can receive notifications whenever Generation 0 or 2 collections occur. Chapter 22-CLR Hosting and AppDomains Added discussion of side-by-side support allowing multiple CLRs to be loaded in a single process. Added section on the performance of using MarshalByRefObject-derived types. Substantially rewrote the section on cross-AppDomain communication. Added section on AppDomain Monitoring and first chance exception notifications. Updated the section on the AppDomainManager class. Chapter 23-Assembly Loading and Reflection Added section on how to deploy a single file with dependent assemblies embedded inside it. Added section comparing reflection invoke vs bind/invoke vs bind/create delegate/invoke vs C#’s dynamic type. Chapter 24-Runtime Serialization This is a whole new chapter that was not in the 2nd Edition. Part V – Threading Chapter 25-Threading Basics Whole new chapter motivating why Windows supports threads, thread overhead, CPU trends, NUMA Architectures, the relationship between CLR threads and Windows threads, the Thread class, reasons to use threads, thread scheduling and priorities, foreground thread vs background threads. Chapter 26-Performing Compute-Bound Asynchronous Operations Whole new chapter explaining the CLR’s thread pool. This chapter covers all the new .NET 4.0 constructs including cooperative cancelation, Tasks, the aralle class, parallel language integrated query, timers, how the thread pool manages its threads, cache lines and false sharing. Chapter 27-Performing I/O-Bound Asynchronous Operations Whole new chapter explaining how Windows performs synchronous and asynchronous I/O operations. Then, I go into the CLR’s Asynchronous Programming Model, my AsyncEnumerator class, the APM and exceptions, Applications and their threading models, implementing a service asynchronously, the APM and Compute-bound operations, APM considerations, I/O request priorities, converting the APM to a Task, the event-based Asynchronous Pattern, programming model soup. Chapter 28-Primitive Thread Synchronization Constructs Whole new chapter discusses class libraries and thread safety, primitive user-mode, kernel-mode constructs, and data alignment. Chapter 29-Hybrid Thread Synchronization Constructs Whole new chapter discussion various hybrid constructs such as ManualResetEventSlim, SemaphoreSlim, CountdownEvent, Barrier, ReaderWriterLock(Slim), OneManyResourceLock, Monitor, 3 ways to solve the double-check locking technique, .NET 4.0’s Lazy and LazyInitializer classes, the condition variable pattern, .NET 4.0’s concurrent collection classes, the ReaderWriterGate and SyncGate classes.

  Read the article

• Analysing and measuring the performance of a .NET application (survey results)

  - by Laila

  Back in December last year, I asked myself: could it be that .NET developers think that you need three days and a PhD to do performance profiling on their code? What if developers are shunning profilers because they perceive them as too complex to use? If so, then what method do they use to measure and analyse the performance of their .NET applications? Do they even care about performance? So, a few weeks ago, I decided to get a 1-minute survey up and running in the hopes that some good, hard data would clear the matter up once and for all. I posted the survey on Simple Talk and got help from a few people to promote it. The survey consisted of 3 simple questions: Amazingly, 533 developers took the time to respond - which means I had enough data to get representative results! So before I go any further, I would like to thank all of you who contributed, because I now have some pretty good answers to the troubling questions I was asking myself. To thank you properly, I thought I would share some of the results with you. First of all, application performance is indeed important to most of you. In fact, performance is an intrinsic part of the development cycle for a good 40% of you, which is much higher than I had anticipated, I have to admit. (I know, "Have a little faith Laila!") When asked what tool you use to measure and analyse application performance, I found that nearly half of the respondents use logging statements, a third use performance counters, and 70% of respondents use a profiler of some sort (a 3rd party performance profilers, the CLR profiler or the Visual Studio profiler). The importance attributed to logging statements did surprise me a little. I am still not sure why somebody would go to the trouble of manually instrumenting code in order to measure its performance, instead of just using a profiler. I personally find the process of annotating code, calculating times from log files, and relating it all back to your source terrifyingly laborious. Not to mention that you then need to remember to turn it all off later! Even when you have logging in place throughout all your code anyway, you still have a fair amount of potentially error-prone calculation to sift through the results; in addition, you'll only get method-level rather than line-level timings, and you won't get timings from any framework or library methods you don't have source for. To top it all, we all know that bottlenecks are rarely where you would expect them to be, so you could be wasting time looking for a performance problem in the wrong place. On the other hand, profilers do all the work for you: they automatically collect the CPU and wall-clock timings, and present the results from method timing all the way down to individual lines of code. Maybe I'm missing a trick. I would love to know about the types of scenarios where you actively prefer to use logging statements. Finally, while a third of the respondents didn't have a strong opinion about code performance profilers, those who had an opinion thought that they were mainly complex to use and time consuming. Three respondents in particular summarised this perfectly: "sometimes, they are rather complex to use, adding an additional time-sink to the process of trying to resolve the existing problem". "they are simple to use, but the results are hard to understand" "Complex to find the more advanced things, easy to find some low hanging fruit". These results confirmed my suspicions: Profilers are seen to be designed for more advanced users who can use them effectively and make sense of the results. I found yet more interesting information when I started comparing samples of "developers for whom performance is an important part of the dev cycle", with those "to whom performance is only looked at in times of crisis", and "developers to whom performance is not important, as long as the app works". See the three graphs below. Sample of developers to whom performance is an important part of the dev cycle: Sample of developers to whom performance is important only in times of crisis: Sample of developers to whom performance is not important, as long as the app works: As you can see, there is a strong correlation between the usage of a profiler and the importance attributed to performance: indeed, the more important performance is to a development team, the more likely they are to use a profiler. In addition, developers to whom performance is an important part of the dev cycle have a higher tendency to use a much wider range of methods for performance measurement and analysis. And, unsurprisingly, the less important performance is, the less varied the methods of measurement are. So all in all, to come back to my random questions: .NET developers do care about performance. Those who care the most use a wider range of performance measurement methods than those who care less. But overall, logging statements, performance counters and third party performance profilers are the performance measurement methods of choice for most developers. Finally, although most of you find code profilers complex to use, those of you who care the most about performance tend to use profilers more than those of you to whom performance is not so important.

  Read the article

• Understanding each other in web development

  - by Pete Hotchkin

  During my career I have been lucky enough to work in several different roles within web development with many extremely talented people, from incredible designers who were passionate about the placement of every pixel right through to server administrators and DBAs who were always measuring the improvements they were making to their queries in the smallest possible unit. The problem I always faced was that more often than not I was stuck in the middle trying to mediate between these different functions and enable each side to understand the other’s point of view. The main areas of contention that there have always been between these functional groups in my experience have been at 2 key points: during the build phase and then when there is a problem post-build. During both of these times it is often easier for someone to pass the buck onto someone else than spend the time to understand the other person’s perspective. Below is a quick look at two upcoming tools that will not only speed up the build phase for each function, but  also help when it comes to the issues faced once a site has been pushed live. In my experience a web project goes through several phases of development. The first of these is design, generally handled as Photoshop files which are then passed onto a front-end developer. This is the first point at which heated discussions can arise. One problem I’ve seen several times is that the designer doesn’t fully understand the platform constraints that need to be considered, and as a result has designed something that does not translate very well or is simply not possible. Working at Red Gate, I am lucky enough to be able to meet some amazing people and this happened just the other day when I was introduced to Neil Kinnish and Pete Nelson, the creators of what I believe could be a great asset in this designer-developer relationship, Mixture. Mixture allows the front end developer to quickly prototype a web page with built-in frameworks such as bootstrap. It’s not an IDE however, it just sits there in the background and monitors the project files in the background so every time you save a file from your favorite IDE, it will compile things like LESS, compact your JavaScript and the automatically refresh your test browser so you can see the changes instantly. I think one of the best parts of this however is a single button that pushes the changed files up to the web so the designer can instantly see how far the developer has got and the problem that he is facing at that time without the need to spend time setting up a remote server. I can see this being a real asset to remote teams where there needs to be a compromise between the designer and the front-end developer, or just to allow the designer to see how the build is progressing and suggest small alterations. Once the design has been built into the front end the designer’s job is generally done and there are no other points of contention between the designer and the other functions involved in building these web projects. As the project moves into the stage of integrating it into the back end and deploying it to the production server other functions start to be pulled in and other issues arise such as the back-end developer understanding the frameworks that they are using such as the routes that are in place in an MVC application or the number of database calls that the ORM layer is actually making. There are many tools out there that can actually help with these problems such as mini profiler that gives you a quick snapshot of what is going on directly in the browser. For a slightly more in-depth look at what is happening and to gain a deeper understanding of an application you may be working on though, you may want to consider Glimpse. Created by Nik and Anthony, it is an application that sits at the bottom of your browser (installed via NuGet) which can show you information about how your application is pieced together and how the information on screen is being delivered as it happens. With a wealth of community-built plugins such as one for nHibernate and linq2SQL (full list of plugins on NuGet). It can be customized directly to your own setup to truly delve into the code to see what is happening, and can help to reduce the number of confusing moments about whether it is your code that is going wrong or whether there is something more sinister happening directly on the server. All the tools that I have mentioned in this post help to do one thing above all, and that is to ease the barrier of understanding between the different functions that are involved in building and maintaining a web application. In my experience it is very easy to say “Well, that’s not my problem”, simply because the two functions involved don’t truly understand the other’s point of view. Software should not only be seen as a way to streamline our own working process or as a debugging tool but also a communication aid to improve the entire lifecycle of a web project. Glimpse is actually the project that I am the designer on and I would love to get your feedback if you do decide to try it out or if you would like to share your own experiences of working on web projects please fill in your details at https://www.surveymk.com/s/joinGlimpse  or add a comment below and I will get in touch with you.

  Read the article

• 2012 Oracle Fusion Innovation Awards - Part 2

  - by Michelle Kimihira

  Author: Moazzam Chaudry Continuing from Friday's blog on 2012 Oracle Fusion Innovation Awards, this blog (Part 2) will provide more details around the customers. It was a tremendous honor to be in single room of winners. We only wish we could have had more time to share stories from all the winners.  We received great insight from all the innovative solutions that our customers deploy and would like to share them broadly, so that others can benefit from best practices. There was a customer panel session joined by Ingersoll Rand, Nike and Motability and here is what was discussed: Barry Bonar, Enterprise Architect from Ingersoll Rand shared details around their solution, comprised of Oracle Exalogic, Oracle WebLogic Server and Oracle SOA Suite. This combined solutoin enabled their business transformation to increase decision-making, speed and efficiency, resulting in 40% reduced IT spend, 41X Faster response time and huge cost savings. Ashok Balakrishnan, Architect from Nike shared how they leveraged Oracle Coherence to analyze their digital "footprint" of activities. This helps them compete, collaborate and compare athletic data over time. Lastly, Ashley Doodly, Head of IT from Motability shared details around their solution compromised of Oracle SOA Suite, Service Bus, ADF, Coherence, BO and E-Business Suite. This solution helped Motability achieve 100% ROI within the first few months, performance in seconds vs. 10's of minutes and tremendous improvement in throughput that increased up to 50%.  This year's winners by category are: Oracle Exalogic Customer Results using Fusion Middleware Netshoes ATG on Exalogic: 6X Reduced H/W foot print, 6.2X increased throughput and 3 weeks time to market Claro Part of America Movil, running mission critical Java Application on Exalogic with 35X Faster Java response time, 5X Throughput Underwriters Laboratories Exalogic as an Apps Consolidation platform to power tremendous growth Ingersoll Rand EBS on Exalogic: Up to 40% Reduction in overall IT budget, 3x reduced foot print Oracle Cloud Application Foundation Customer Results using Fusion Middleware  Mazda Motor Corporation Tuxedo ART Batch runtime environment to migrate their batch apps on new open environment and reduce main frame cost. HOTELBEDS Technology Open Source to WebLogic transformation Globalia Corporation Introduced Oracle Coherence to fully reengineer DTH system and provide multiple business and technical benefits Nike Nike+, digital sports platform, has 8M users and is expecting an 5X increase in users, many of who will carry multiple devices that frequently sync data with the Digital Sport platform Comcast Corporation The solution is expected to increase availability, continuity, performance, and simplify and make the code at the application layer more flexible. Oracle SOA and Oracle BPM Customer Results using Fusion Middleware NTT Docomo Network traffic solution based on Oracle event processing and coherence - massive in scale: 12M users (50M in future) - 800,000 events/sec. Schneider National, Inc. SOA/B2B/ADF/Data Integration to orchestrate key order processes across Siebel, OTM & EBS.  Platform runs 60M trans/day and  50 million composite SOA instances per day across 10G and 11G Amadeus Oracle BPM solution: Business Rules and processes vary across local (80), regional (~10) and corporate approval process. Up to 10 levels of approval. Plans to deploy across 20+ markets Navitar SOA solution integrates a fully non-Oracle legacy application/ERP environment using Oracle’s SOA Suite and Oracle AIA Foundation Pack. Motability Uses SOA Suite to synchronize data across the systems and to manage the vehicle remarketing process Oracle WebCenter Customer Results using Fusion Middleware  News Limited Single platform running websites for 50% of Australia's newspapers University of Louisville “Facebook for Medicine”: Oracle Webcenter platform and Oracle BIEE to analyze patient test data and uncover potential health issues. Expecting annualized ROI of 277% China Mobile Jiangsu Company portal (25k users) to drive collaboration & productivity Life Technologies Portal for remotely monitoring & repairing biotech instruments LA Dept. of Water & Power Oracle WebCenter Portal to power ladwp.com on desktop and mobile for 1.6million users Oracle Identity Management Customer Results using Fusion Middleware Education Testing Service Identity Management platform for provisioning & SSO of 6 million GRE, GMAT, TOEFL customers Avea Oracle Identity Manager allowing call center personnel to quickly change Identity Profile to handle varying call loads based on a user self service interface. Decreased Admin Cost by 30% Oracle Data Integration Customer Results using Fusion Middleware Raymond James Near real-time integration for improved systems (throughput & performance) and enhanced operational flexibility in a 24 X 7 environment Wm Morrison Supermarkets Electronic Point of Sale integration handling over 80 million transactions a day in near real time (15 min intervals) Oracle Application Development Framework and Oracle Fusion Development Customer Results using Fusion Middleware Qualcomm Incorporated Solution providing  immediate business value enabling a self-service model necessary for growing the new customer base, an increase in customer satisfaction, reduced “time-to-deliver” Micros Systems, Inc. ADF, SOA Suite, WebCenter  enables services that include managing distribution of hotel rooms availability and rates to channels such as Hotel Web-site, Expedia, etc. Marfin Egnatia Bank A new web 2.0 UI provides a much richer experience through the ADF solution with the end result being one of boosting end-user productivity    Business Analytics (Oracle BI, Oracle EPM, Oracle Exalytics) Customer Results using Fusion Middleware INC Research Self-service customer portal delivering 5–10% of the overall revenue - expected to grow fast with the BI solution Experian Reduction in Time to Complete the Financial Close Process Hologic Inc Solution, saving months of decision-making uncertainty! We look forward to seeing many more innovative nominations. The nominatation process for 2013 begins in April 2013.    Additional Information: Blog: Oracle WebCenter Award Winners Blog: Oracle Identity Management Winners Blog: Oracle Exalogic Winners Blog: SOA, BPM and Data Integration will be will feature award winners in its respective areas this week Subscribe to our regular Fusion Middleware Newsletter Follow us on Twitter and Facebook

  Read the article

• Slow boot on Ubuntu 12.04

  - by Hailwood

  My Ubuntu is booting really slow (Windows is booting faster...). I am using Ubuntu a Dell Inspiron 1545 Pentium(R) Dual-Core CPU T4300 @ 2.10GHz, 4GB Ram, 500GB HDD running Ubuntu 12.04 with gnome-shell 3.4.1. After running dmesg the culprit seems to be this section, in particular the last three lines: [26.557659] ADDRCONF(NETDEV_UP): eth0: link is not ready [26.565414] ADDRCONF(NETDEV_UP): eth0: link is not ready [27.355355] Console: switching to colour frame buffer device 170x48 [27.362346] fb0: radeondrmfb frame buffer device [27.362347] drm: registered panic notifier [27.362357] [drm] Initialized radeon 2.12.0 20080528 for 0000:01:00.0 on minor 0 [27.617435] init: udev-fallback-graphics main process (1049) terminated with status 1 [30.064481] init: plymouth-stop pre-start process (1500) terminated with status 1 [51.708241] CE: hpet increased min_delta_ns to 20113 nsec [59.448029] eth2: no IPv6 routers present But I have no idea how to start debugging this. sudo lshw -C video $ sudo lshw -C video *-display description: VGA compatible controller product: RV710 [Mobility Radeon HD 4300 Series] vendor: Hynix Semiconductor (Hyundai Electronics) physical id: 0 bus info: pci@0000:01:00.0 version: 00 width: 32 bits clock: 33MHz capabilities: pm pciexpress msi vga_controller bus_master cap_list rom configuration: driver=fglrx_pci latency=0 resources: irq:48 memory:e0000000-efffffff ioport:de00(size=256) memory:f6df0000-f6dfffff memory:f6d00000-f6d1ffff After loading the propriety driver my new dmesg log is below (starting from the first major time gap): [2.983741] EXT4-fs (sda6): mounted filesystem with ordered data mode. Opts: (null) [25.094327] ADDRCONF(NETDEV_UP): eth0: link is not ready [25.119737] udevd[520]: starting version 175 [25.167086] lp: driver loaded but no devices found [25.215341] fglrx: module license 'Proprietary. (C) 2002 - ATI Technologies, Starnberg, GERMANY' taints kernel. [25.215345] Disabling lock debugging due to kernel taint [25.231924] wmi: Mapper loaded [25.318414] lib80211: common routines for IEEE802.11 drivers [25.318418] lib80211_crypt: registered algorithm 'NULL' [25.331631] [fglrx] Maximum main memory to use for locked dma buffers: 3789 MBytes. [25.332095] [fglrx] vendor: 1002 device: 9552 count: 1 [25.334206] [fglrx] ioport: bar 1, base 0xde00, size: 0x100 [25.334229] pci 0000:01:00.0: PCI INT A -> GSI 16 (level, low) -> IRQ 16 [25.334235] pci 0000:01:00.0: setting latency timer to 64 [25.337109] [fglrx] Kernel PAT support is enabled [25.337140] [fglrx] module loaded - fglrx 8.96.4 [Mar 12 2012] with 1 minors [25.342803] Adding 4189180k swap on /dev/sda7. Priority:-1 extents:1 across:4189180k [25.364031] type=1400 audit(1338241723.027:2): apparmor="STATUS" operation="profile_load" name="/sbin/dhclient" pid=606 comm="apparmor_parser" [25.364491] type=1400 audit(1338241723.031:3): apparmor="STATUS" operation="profile_load" name="/usr/lib/NetworkManager/nm-dhcp-client.action" pid=606 comm="apparmor_parser" [25.364760] type=1400 audit(1338241723.031:4): apparmor="STATUS" operation="profile_load" name="/usr/lib/connman/scripts/dhclient-script" pid=606 comm="apparmor_parser" [25.394328] wl 0000:0c:00.0: PCI INT A -> GSI 17 (level, low) -> IRQ 17 [25.394343] wl 0000:0c:00.0: setting latency timer to 64 [25.415531] acpi device:36: registered as cooling_device2 [25.416688] input: Video Bus as /devices/LNXSYSTM:00/device:00/PNP0A03:00/device:34/LNXVIDEO:00/input/input6 [25.416795] ACPI: Video Device [VID] (multi-head: yes rom: no post: no) [25.416865] [Firmware Bug]: Duplicate ACPI video bus devices for the same VGA controller, please try module parameter "video.allow_duplicates=1"if the current driver doesn't work. [25.425133] lib80211_crypt: registered algorithm 'TKIP' [25.448058] snd_hda_intel 0000:00:1b.0: PCI INT A -> GSI 21 (level, low) -> IRQ 21 [25.448321] snd_hda_intel 0000:00:1b.0: irq 47 for MSI/MSI-X [25.448353] snd_hda_intel 0000:00:1b.0: setting latency timer to 64 [25.738867] eth1: Broadcom BCM4315 802.11 Hybrid Wireless Controller 5.100.82.38 [25.761213] input: HDA Intel Mic as /devices/pci0000:00/0000:00:1b.0/sound/card0/input7 [25.761406] input: HDA Intel Headphone as /devices/pci0000:00/0000:00:1b.0/sound/card0/input8 [25.783432] dcdbas dcdbas: Dell Systems Management Base Driver (version 5.6.0-3.2) [25.908318] EXT4-fs (sda6): re-mounted. Opts: errors=remount-ro [25.928155] input: Dell WMI hotkeys as /devices/virtual/input/input9 [25.960561] udevd[543]: renamed network interface eth1 to eth2 [26.285688] init: failsafe main process (835) killed by TERM signal [26.396426] input: PS/2 Mouse as /devices/platform/i8042/serio2/input/input10 [26.423108] input: AlpsPS/2 ALPS GlidePoint as /devices/platform/i8042/serio2/input/input11 [26.511297] Bluetooth: Core ver 2.16 [26.511383] NET: Registered protocol family 31 [26.511385] Bluetooth: HCI device and connection manager initialized [26.511388] Bluetooth: HCI socket layer initialized [26.511391] Bluetooth: L2CAP socket layer initialized [26.512079] Bluetooth: SCO socket layer initialized [26.530164] Bluetooth: BNEP (Ethernet Emulation) ver 1.3 [26.530168] Bluetooth: BNEP filters: protocol multicast [26.553893] type=1400 audit(1338241724.219:5): apparmor="STATUS" operation="profile_replace" name="/sbin/dhclient" pid=928 comm="apparmor_parser" [26.554860] Bluetooth: RFCOMM TTY layer initialized [26.554866] Bluetooth: RFCOMM socket layer initialized [26.554868] Bluetooth: RFCOMM ver 1.11 [26.557910] type=1400 audit(1338241724.223:6): apparmor="STATUS" operation="profile_load" name="/usr/lib/lightdm/lightdm/lightdm-guest-session-wrapper" pid=927 comm="apparmor_parser" [26.559166] type=1400 audit(1338241724.223:7): apparmor="STATUS" operation="profile_replace" name="/usr/lib/NetworkManager/nm-dhcp-client.action" pid=928 comm="apparmor_parser" [26.559574] type=1400 audit(1338241724.223:8): apparmor="STATUS" operation="profile_replace" name="/usr/lib/connman/scripts/dhclient-script" pid=928 comm="apparmor_parser" [26.575519] type=1400 audit(1338241724.239:9): apparmor="STATUS" operation="profile_load" name="/usr/lib/telepathy/mission-control-5" pid=931 comm="apparmor_parser" [26.581100] type=1400 audit(1338241724.247:10): apparmor="STATUS" operation="profile_load" name="/usr/lib/telepathy/telepathy-*" pid=931 comm="apparmor_parser" [26.582794] type=1400 audit(1338241724.247:11): apparmor="STATUS" operation="profile_load" name="/usr/bin/evince" pid=929 comm="apparmor_parser" [26.605672] ppdev: user-space parallel port driver [27.592475] sky2 0000:09:00.0: eth0: enabling interface [27.604329] ADDRCONF(NETDEV_UP): eth0: link is not ready [27.606962] ADDRCONF(NETDEV_UP): eth0: link is not ready [27.852509] vesafb: mode is 1024x768x32, linelength=4096, pages=0 [27.852513] vesafb: scrolling: redraw [27.852515] vesafb: Truecolor: size=0:8:8:8, shift=0:16:8:0 [27.852523] mtrr: type mismatch for e0000000,400000 old: write-back new: write-combining [27.852527] mtrr: type mismatch for e0000000,200000 old: write-back new: write-combining [27.852531] mtrr: type mismatch for e0000000,100000 old: write-back new: write-combining [27.852534] mtrr: type mismatch for e0000000,80000 old: write-back new: write-combining [27.852538] mtrr: type mismatch for e0000000,40000 old: write-back new: write-combining [27.852541] mtrr: type mismatch for e0000000,20000 old: write-back new: write-combining [27.852544] mtrr: type mismatch for e0000000,10000 old: write-back new: write-combining [27.852548] mtrr: type mismatch for e0000000,8000 old: write-back new: write-combining [27.852551] mtrr: type mismatch for e0000000,4000 old: write-back new: write-combining [27.852554] mtrr: type mismatch for e0000000,2000 old: write-back new: write-combining [27.852558] mtrr: type mismatch for e0000000,1000 old: write-back new: write-combining [27.853154] vesafb: framebuffer at 0xe0000000, mapped to 0xffffc90005580000, using 3072k, total 3072k [27.853405] Console: switching to colour frame buffer device 128x48 [27.853426] fb0: VESA VGA frame buffer device [28.539800] fglrx_pci 0000:01:00.0: irq 48 for MSI/MSI-X [28.540552] [fglrx] Firegl kernel thread PID: 1168 [28.540679] [fglrx] Firegl kernel thread PID: 1169 [28.540789] [fglrx] Firegl kernel thread PID: 1170 [28.540932] [fglrx] IRQ 48 Enabled [29.845620] [fglrx] Gart USWC size:1236 M. [29.845624] [fglrx] Gart cacheable size:489 M. [29.845629] [fglrx] Reserved FB block: Shared offset:0, size:1000000 [29.845632] [fglrx] Reserved FB block: Unshared offset:fc21000, size:3df000 [29.845635] [fglrx] Reserved FB block: Unshared offset:1fffb000, size:5000 [59.700023] eth2: no IPv6 routers present

  Read the article

• Recover that Photo, Picture or File You Deleted Accidentally

  - by The Geek

  Have you ever accidentally deleted a photo on your camera, computer, USB drive, or anywhere else? What you might not know is that you can usually restore those pictures—even from your camera’s memory stick. Windows tries to prevent you from making a big mistake by providing the Recycle Bin, where deleted files hang around for a while—but unfortunately it doesn’t work for external USB drives, USB flash drives, memory sticks, or mapped drives. The great news is that this technique also works if you accidentally deleted the photo… from the camera itself. That’s what happened to me, and prompted writing this article. Restore that File or Photo using Recuva The first piece of software that you’ll want to try is called Recuva, and it’s extremely easy to use—just make sure when you are installing it, that you don’t accidentally install that stupid Yahoo! toolbar that nobody wants. Now that you’ve installed the software, and avoided an awful toolbar installation, launch the Recuva wizard and let’s start through the process of recovering those pictures you shouldn’t have deleted. The first step on the wizard page will let you tell Recuva to only search for a specific type of file, which can save a lot of time while searching, and make it easier to find what you are looking for. Next you’ll need to specify where the file was, which will obviously be up to wherever you deleted it from. Since I deleted mine from my camera’s SD card, that’s where I’m looking for it. The next page will ask you whether you want to do a Deep Scan. My recommendation is to not select this for the first scan, because usually the quick scan can find it. You can always go back and run a deep scan a second time. And now, you’ll see all of the pictures deleted from your drive, memory stick, SD card, or wherever you searched. Looks like what happened in Vegas didn’t stay in Vegas after all… If there are a really large number of results, and you know exactly when the file was created or modified, you can switch to the advanced view, where you can sort by the last modified time. This can help speed up the process quite a bit, so you don’t have to look through quite as many files. At this point, you can right-click on any filename, and choose to Recover it, and then save the files elsewhere on your drive. Awesome! Restore that File or Photo using DiskDigger If you don’t have any luck with Recuva, you can always try out DiskDigger, another excellent piece of software. I’ve tested both of these applications very thoroughly, and found that neither of them will always find the same files, so it’s best to have both of them in your toolkit. Note that DiskDigger doesn’t require installation, making it a really great tool to throw on your PC repair Flash drive. Start off by choosing the drive you want to recover from…   Now you can choose whether to do a deep scan, or a really deep scan. Just like with Recuva, you’ll probably want to select the first one first. I’ve also had much better luck with the regular scan, rather than the “dig deeper” one. If you do choose the “dig deeper” one, you’ll be able to select exactly which types of files you are looking for, though again, you should use the regular scan first. Once you’ve come up with the results, you can click on the items on the left-hand side, and see a preview on the right.  You can select one or more files, and choose to restore them. It’s pretty simple! Download DiskDigger from dmitrybrant.com Download Recuva from piriform.com Good luck recovering your deleted files! And keep in mind, DiskDigger is a totally free donationware software from a single, helpful guy… so if his software helps you recover a photo you never thought you’d see again, you might want to think about throwing him a dollar or two. Similar Articles Productive Geek Tips Stupid Geek Tricks: Undo an Accidental Move or Delete With a Keyboard ShortcutRestore Accidentally Deleted Files with RecuvaCustomize Your Welcome Picture Choices in Windows VistaAutomatically Resize Picture Attachments in Outlook 2007Resize Your Photos with Easy Thumbnails TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 Icelandic Volcano Webcams Open Multiple Links At One Go NachoFoto Searches Images in Real-time Office 2010 Product Guides Google Maps Place marks – Pizza, Guns or Strip Clubs Monitor Applications With Kiwi

  Read the article

• Ranking - an Introduction

  - by PointsToShare

  © 2011 By: Dov Trietsch. All rights reserved Ranking Ranking is quite common in the internet. Readers are asked to rank their latest reading by clicking on one of 5 (sometimes 10) stars. The number of stars is then converted to a number and the average number of stars as selected by all the readers is proudly (or shamefully) displayed for future readers. SharePoint 2007 lacked this feature altogether. SharePoint 2010 allows the users to rank items in a list or documents in a library (the two are actually the same because a library is actually a list). But in SP2010 the computation of the average is done later on a timer rather than on-the-spot as it should be. I suspect that the reason for this shortcoming is that they did not involve a mathematician! Let me explain. Ranking is kept in a related list. When a user rates a document the rank-list is added an item with the item id, the user name, and his number of stars. The fact that a user already ranked an item prevents him from ranking it again. This prevents the creator of the item from asking his mother to rank it a 5 and do it 753 times, thus stacking the ballot. Some systems will allow a user to change his rating and this will be done by updating the rank-list item. Now, when the timer kicks off, the list is spanned and for each item the rank-list items containing this id are summed up and divided by the number of votes thus yielding the new average. This is obviously very time consuming and very server intensive. In the 18th century an early actuary named James Dodson used what the great Augustus De Morgan (of De Morgan’s law) later named Commutation tables. The labor involved in computing a life insurance premium was staggering and also very error prone. Clerks with pencil and paper would multiply and add mountains of numbers to do the task. The more steps the greater the probability of error and the more expensive the process. Commutation tables created a “summary” of many steps and reduced the work 100 fold. So had Microsoft taken a lesson in the history of computation, they would have developed a much faster way for rating that may be done in real-time and is also 100 times faster and less CPU intensive. How do we do this? We use a form of commutation. We always keep the number of votes and the total of stars. One simple division gives us the average. So we write an event receiver. When a vote is added, we just add the stars to the total-stars and 1 to the number of votes. We then recomputed the average. When a vote is updated, we reduce the total by the old vote, increase it by the new vote and leave the number of votes the same. Again we do the division to get the new average. When a vote is deleted (highly unlikely and maybe even prohibited), we reduce the total by that vote and reduce the number of votes by 1… Gone are the days of spanning lists, counting items, and tallying votes and we have no need for a timer process to run it all. This is the first of a few treatises on ranking. Even though I discussed the math and the history thereof, in here I am only going to solve the presentation issue. I wanted to create the CSS and Jscript needed to display the stars, create the various effects like hovering and clicking (onmouseover, onmouseout, onclick, etc.) and I wanted to create a general solution with any number of stars. When I had it all done, I created the ranking game so that I could test it. The game is interesting in and on itself, so here it is (or go to the games page and select “rank the stars”). BTW, when you play it, look at the source code and see how it was all done.  Next, how the 5 stars are displayed in the New and Update forms. When the whole set of articles will be done, you’ll be able to create the complete solution. That’s all folks!

  Read the article

• Why lock-free data structures just aren't lock-free enough

  - by Alex.Davies

  Today's post will explore why the current ways to communicate between threads don't scale, and show you a possible way to build scalable parallel programming on top of shared memory. The problem with shared memory Soon, we will have dozens, hundreds and then millions of cores in our computers. It's inevitable, because individual cores just can't get much faster. At some point, that's going to mean that we have to rethink our architecture entirely, as millions of cores can't all access a shared memory space efficiently. But millions of cores are still a long way off, and in the meantime we'll see machines with dozens of cores, struggling with shared memory. Alex's tip: The best way for an application to make use of that increasing parallel power is to use a concurrency model like actors, that deals with synchronisation issues for you. Then, the maintainer of the actors framework can find the most efficient way to coordinate access to shared memory to allow your actors to pass messages to each other efficiently. At the moment, NAct uses the .NET thread pool and a few locks to marshal messages. It works well on dual and quad core machines, but it won't scale to more cores. Every time we use a lock, our core performs an atomic memory operation (eg. CAS) on a cell of memory representing the lock, so it's sure that no other core can possibly have that lock. This is very fast when the lock isn't contended, but we need to notify all the other cores, in case they held the cell of memory in a cache. As the number of cores increases, the total cost of a lock increases linearly. A lot of work has been done on "lock-free" data structures, which avoid locks by using atomic memory operations directly. These give fairly dramatic performance improvements, particularly on systems with a few (2 to 4) cores. The .NET 4 concurrent collections in System.Collections.Concurrent are mostly lock-free. However, lock-free data structures still don't scale indefinitely, because any use of an atomic memory operation still involves every core in the system. A sync-free data structure Some concurrent data structures are possible to write in a completely synchronization-free way, without using any atomic memory operations. One useful example is a single producer, single consumer (SPSC) queue. It's easy to write a sync-free fixed size SPSC queue using a circular buffer*. Slightly trickier is a queue that grows as needed. You can use a linked list to represent the queue, but if you leave the nodes to be garbage collected once you're done with them, the GC will need to involve all the cores in collecting the finished nodes. Instead, I've implemented a proof of concept inspired by this intel article which reuses the nodes by putting them in a second queue to send back to the producer. * In all these cases, you need to use memory barriers correctly, but these are local to a core, so don't have the same scalability problems as atomic memory operations. Performance tests I tried benchmarking my SPSC queue against the .NET ConcurrentQueue, and against a standard Queue protected by locks. In some ways, this isn't a fair comparison, because both of these support multiple producers and multiple consumers, but I'll come to that later. I started on my dual-core laptop, running a simple test that had one thread producing 64 bit integers, and another consuming them, to measure the pure overhead of the queue. So, nothing very interesting here. Both concurrent collections perform better than the lock-based one as expected, but there's not a lot to choose between the ConcurrentQueue and my SPSC queue. I was a little disappointed, but then, the .NET Framework team spent a lot longer optimising it than I did. So I dug out a more powerful machine that Red Gate's DBA tools team had been using for testing. It is a 6 core Intel i7 machine with hyperthreading, adding up to 12 logical cores. Now the results get more interesting. As I increased the number of producer-consumer pairs to 6 (to saturate all 12 logical cores), the locking approach was slow, and got even slower, as you'd expect. What I didn't expect to be so clear was the drop-off in performance of the lock-free ConcurrentQueue. I could see the machine only using about 20% of available CPU cycles when it should have been saturated. My interpretation is that as all the cores used atomic memory operations to safely access the queue, they ended up spending most of the time notifying each other about cache lines that need invalidating. The sync-free approach scaled perfectly, despite still working via shared memory, which after all, should still be a bottleneck. I can't quite believe that the results are so clear, so if you can think of any other effects that might cause them, please comment! Obviously, this benchmark isn't realistic because we're only measuring the overhead of the queue. Any real workload, even on a machine with 12 cores, would dwarf the overhead, and there'd be no point worrying about this effect. But would that be true on a machine with 100 cores? Still to be solved. The trouble is, you can't build many concurrent algorithms using only an SPSC queue to communicate. In particular, I can't see a way to build something as general purpose as actors on top of just SPSC queues. Fundamentally, an actor needs to be able to receive messages from multiple other actors, which seems to need an MPSC queue. I've been thinking about ways to build a sync-free MPSC queue out of multiple SPSC queues and some kind of sign-up mechanism. Hopefully I'll have something to tell you about soon, but leave a comment if you have any ideas.

  Read the article

• How to Share Files Between User Accounts on Windows, Linux, or OS X

  - by Chris Hoffman

  Your operating system provides each user account with its own folders when you set up several different user accounts on the same computer. Shared folders allow you to share files between user accounts. This process works similarly on Windows, Linux, and Mac OS X. These are all powerful multi-user operating systems with similar folder and file permission systems. Windows On Windows, the “Public” user’s folders are accessible to all users. You’ll find this folder under C:\Users\Public by default. Files you place in any of these folders will be accessible to other users, so it’s a good way to share music, videos, and other types of files between users on the same computer. Windows even adds these folders to each user’s libraries by default. For example, a user’s Music library contains the user’s music folder under C:\Users\NAME\as well as the public music folder under C:\Users\Public\. This makes it easy for each user to find the shared, public files. It also makes it easy to make a file public — just drag and drop a file from the user-specific folder to the public folder in the library. Libraries are hidden by default on Windows 8.1, so you’ll have to unhide them to do this. These Public folders can also be used to share folders publically on the local network. You’ll find the Public folder sharing option under Advanced sharing settings in the Network and Sharing Control Panel. You could also choose to make any folder shared between users, but this will require messing with folder permissions in Windows. To do this, right-click a folder anywhere in the file system and select Properties. Use the options on the Security tab to change the folder’s permissions and make it accessible to different user accounts. You’ll need administrator access to do this. Linux This is a bit more complicated on Linux, as typical Linux distributions don’t come with a special user folder all users have read-write access to. The Public folder on Ubuntu is for sharing files between computers on a network. You can use Linux’s permissions system to give other user accounts read or read-write access to specific folders. The process below is for Ubuntu 14.04, but it should be identical on any other Linux distribution using GNOME with the Nautilus file manager. It should be similar for other desktop environments, too. Locate the folder you want to make accessible to other users, right-click it, and select Properties. On the Permissions tab, give “Others” the “Create and delete files” permission. Click the Change Permissions for Enclosed Files button and give “Others” the “Read and write” and “Create and Delete Files” permissions. Other users on the same computer will then have read and write access to your folder. They’ll find it under /home/YOURNAME/folder under Computer. To speed things up, they can create a link or bookmark to the folder so they always have easy access to it. Mac OS X Mac OS X creates a special Shared folder that all user accounts have access to. This folder is intended for sharing files between different user accounts. It’s located at /Users/Shared. To access it, open the Finder and click Go > Computer. Navigate to Macintosh HD > Users > Shared. Files you place in this folder can be accessed by any user account on your Mac. These tricks are useful if you’re sharing a computer with other people and you all have your own user accounts — maybe your kids have their own limited accounts. You can share a music library, downloads folder, picture archive, videos, documents, or anything else you like without keeping duplicate copies.

  Read the article

• SQL SERVER – TechEd India 2012 – Content, Speakers and a Lots of Fun

  - by pinaldave

  TechEd is one event which every developers and IT professionals are looking forward to attend. It is opportunity of life time and no matter how many time one gets chance to engage with it, it is never enough. I still remember every single moment of every TechEd I have attended so far. We are less than 100 hours away from TechEd India 2012 event.This event is the one must attend event for every Technology Enthusiast. Fourth time in the row I am going to attend this event and I am equally excited as the first time of the event. There are going to be two very solid SQL Server track this time and I will be attending end of the end both the tracks. Here is my view on each of the 10 sessions. Each session is carefully crafted and leading exeprts from industry will present it. Day 1, March 21, 2012 T-SQL Rediscovered with SQL Server 2012 – This session is going to bring some of the lesser known enhancements that were brought with SQL Server 2012. When I learned that Jacob Sebastian is going to do this session my reaction to this is DEMO, DEMO and DEMO! Jacob spends hours and hours of his time preparing his session and this will be one of those session that I am confident will be delivered over and over through out the next many events. Catapult your data with SQL Server 2012 Integration Services – Praveen is expert story teller and one of the wizard when it is about SQL Server and business intelligence. He is surely going to mesmerize you with some interesting insights on SSIS performance too. Processing Big Data with SQL Server 2012 and Hadoop – There are three sessions on Big Data at TechEd India 2012. Stephen is going to deliver one of the session. Watching Stephen present is always joy and quite entertaining. He shares knowledge with his typical humor which captures ones attention. I wrote about what is BIG DATA in a blog post. SQL Server Misconceptions and Resolutions – I will be presenting this Session along with Vinod Kumar. READ MORE HERE. Securing with ContainedDB in SQL Server 2012 – Pranab is expert when it is about SQL Server and Security. I have seen him presenting and he is indeed very pleasant to watch. A dry subject like security, he makes it much lively. A Contained Database is a database which contains all the necessary settings and metadata, making database easily portable to another server. This database will contain all the necessary details and will not have to depend on any server where it is installed for anything. You can take this database and move it to another server without having any worries. Day 3, March 23, 2012 Peeling SQL Server like an Onion: Internals Demystified – Vinod Kumar has been writing about this extensively on his other blog post. In recent conversation he suggested that he will be creating very exclusive content for this presentation. I know Vinod for long time and have worked with him along many community activities. I am going to pay special attention to the details. I know Vinod has few give-away planned now for attending the session now only if he shares with us. Speed Up – Parallel Processes and unparalleled Performance – Performance tuning is my favorite subject. I will be discussing effect of parallelism on performance in this session. Here me out, there will be lots of quiz questions during this session and if you get the answers correct – you can win some really cool goodies – I Promise! READ MORE HERE. Keep your database available – AlwaysOn – Balmukund is like an army man. He is always ready to show and prove that he has coolest toys in terms of SQL Server and he knows how to keep them running AlwaysON. Availability groups, Listener, Clustering, Failover, Read-Only replica etc all will be demo’ed in this session. This is really heavy but very interesting content not to be missed. Lesser known facts about SQL Server Backup and Restore – Amit Banerjee – this name is known internationally for solving SQL Server problems in 140 characters. He has already blogged about this and this topic is going to be interesting. A successful restore strategy for applications is as good as their last good known backup. I have few difficult questions to ask to Amit and I am very sure that his unique style will entertain people. By the way, his one of the slide may give few in audience a funny heart attack. Top 5 reasons why you want SQL Server 2012 BI – Praveen plans to take a tour of some of the BI enhancements introduced in the new version. Business Insights with SQL Server is a critical building block and this version of SQL Server is no exception. For the matter of the fact, when I saw the demos he was going to show during this session, I felt like that I wish I can set up all of this on my machine. If you miss this session – you will miss one of the most informative session of the day. Also TechEd India 2012 has a Live streaming of some content and this can be watched here. The TechEd Team is planning to have some really good exclusive content in this channel as well. If you spot me, just do not hesitate to come by me and introduce yourself, I want to remember you! Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Author Visit, SQLServer, T SQL, Technology Tagged: TechEd, TechEdIn

  Read the article

• Autoscaling in a modern world&hellip;. Part 2

  - by Steve Loethen

  When we last left off, we had a web application spinning away in the cloud, and a local console application watching it and reacting to changes in demand.  Reactions that were specified by a set of rules.  Let’s talk about those rules. Constraints.  The first set of rules this application answered to were the constraints. Here is what they looked like: <constraintRules> <rule name="default" enabled="true" rank="1" description="The default constraint rule"> <actions> <range min="1" max="4" target="AutoscalingApplicationRole"/> </actions> </rule> </constraintRules> Pretty basic.  We have one role, the “AutoscalingApplicationRole”, and we have decided to have it live within a range of 1 to 4.  This rule does not adjust, but instead, set’s limits on what other rules can do.  It has a rank, so you can have you can specify other sets of constraints, perhaps based on time or date, to allow for deviations from this set.  But for now, let’s keep it simple.  In the real world, you would probably use the minimum to set a lower end SLA.  A common value might be a 2, to prevent the reactive rules from ever taking you down to 1 role.  The maximum is often used to keep a rule from driving the cost up, setting an upper limit to prevent you waking up one morning and find a bill for hundreds of instances you didn’t expect.  So, here we have the range we want our application to live inside.  This is good for our investigation and testing.  Next, let’s take a look at the reactive rules.  These rules are what you use to react (hence reactive rules) to changing demands on your application.  The HOL has two simple rules.  One that looks at a queue depth, and one that looks at a performance counter that reports cpu utilization.  the XML in the rules file looks like this: <reactiveRules> <rule name="ScaleUp" rank="10" description="Scale Up the web role" enabled="true"> <when> <any> <greaterOrEqual operand="Length_05_holqueue" than="10"/> <greaterOrEqual operand="CPU_05_holwebrole" than="65"/> </any> </when> <actions> <scale target="AutoscalingApplicationRole" by="1"/> </actions> </rule> <rule name="ScaleDown" rank="10" description="Scale down the web role" enabled="true"> <when> <all> <less operand="Length_05_holqueue" than="5"/> <less operand="CPU_05_holwebrole" than="40"/> </all> </when> <actions> <scale target="AutoscalingApplicationRole" by="-1"/> </actions> </rule> </reactiveRules> <operands> <performanceCounter alias="CPU_05_holwebrole" performanceCounterName="\Processor(_Total)\% Processor Time" source="AutoscalingApplicationRole" timespan="00:05:00" aggregate="Average" /> <queueLength alias="Length_05_holqueue" queue="hol-queue" timespan="00:05:00" aggregate="Average"/> </operands> These rules are currently contained in a file called rules.xml, that is in the root of the console application.  The console app, starts up, grabs the rules and starts watching the 2 operands.  When it detects a rule has been satisfied, it performs the desired action.  (here, scale up or down my 1). But I want to host the autoscaler  in the cloud.  For my first trick, I will move the rules (and another file called services.xml) to azure blob storage.  Look for part 3.

  Read the article

• Profit's COLLABORATE 10 Session Selections

  - by Aaron Lazenby

  COLLABORATE 2010 is a mere 11 days away (thanks for the reminder @ocp_advisor). Every year I publish my a list of the sessions I think reflect some of the more interesting people/trends in enterprise IT. I should be at all of these sessions, so drop by for a chat--I'll be the guy tapping out emails on my iPad... Monday, April 19 9:15 a.m. - Keynote: Transforming Customer Value, Delivering Highest Customer Service Location: Keynote Hall I never miss Charles Phillips when he speaks--it's one of the best opportunities to get an update on Oracle product developments and strategy. And there's certainly occasion for an update: this will be Phillips' first big presentation since the Oracle + Sun Strategy Update in late January. Phillips is appearing with Oracle Executive Vice President of Development Thomas Kurian which means there should be some excellent information about how customers are using Oracle's complete software and hardware stack to address enterprise IT challenges. The session should provide some excellent context for the rest of the week's session...don't miss it. 10:45 a.m. - Oracle Fusion Applications: Functional Overview Location: South Seas FI met Basheer Khan at COLLABORATE 08 in Denver and have followed his work ever since. He's a former member of the OAUG Board of Directors, an Oracle ACE, and a charismatic enterprise IT expert. Having worked with the Oracle Usability Advisory Board, Basheer should have some fascinating insights to share about the features and interface of Oracle's Fusine Applications. This session, along with Nadia Bendjedou's "10 Things You Can Do Today to Prepare for the Next Generation Applications" (on Tuesday, April 20 8:00 a.m. in room 3662) should give attendees the update they need about Oracle's next-generation applications.   1:15p.m. - E-Business Suite in the Amazon Cloud Location: South Seas HI did my first full-fledged cloud computing coverage at last year's COLLABORATE show (check out my interview with Oracle's Bill Hodak), where I first learned about Amazon's EC2 offering. I've since talked with several people who have provisioned server space on Amazon's cloud with great results. So I'm looking forward to watching the audience configure an instance of the Oracle E-Business Suite release 12 on the cloud while Chuck Edwards from Blue Gecko drives. This session should take some of the mist and vapor out of the cloud conversation.2:30 p.m. - "Zero Sign-on" to EBS - Enabling 96000 Users to Login to EBS Without User Maintenance Location: South Seas HI'll be sitting tight in South Seas H for the next session on Monday where Doug Pepka, a ten-year veteran of communications giant Comcast, will be walking attendees through a massive single sign-on (SSO) project across the enterprise. I'm working on a story about SSO for the August issue of Profit, so this session has real practical value to me. Plus the proliferation of user account logins--both personal and professional--makes this a critical usability/change management issue for IT leaders planning for successful long-term IT implementations.   Tuesday 8:00 am  - Information Architecture for Men in Kilts Location: SURF AGetting to a 8:00 a.m. presentation is a tall order in Las Vegas, but presenter Billy Cripe will make it worth your effort. Not only is the title of this session great, but the content should appeal to any IT strategist looking to push the limits of Web 2.0 technologies in the enterprise. Cripe is a product management director of Enterprise 2.0 and Enterprise Content Management at Oracle, author of Reshaping Your Business with Web 2.0, and a prolific blogger--he knows how information architecture is critical to and enterprise 2.0 implementation.    10:30a.m. - Oracle Virtualization: From Desktop to Data Center Location: REEF FData center virtualization is still one of the best ways to reduce the cost of running enterprise IT. With the addition of Sun products, Oracle has the industry's most comprehensive virtualization portfolio. I must admit, I'm no expert in this subject. So I'm looking forward to Monica Kumar's presentation so I can get up to speed.   Wednesday 8:00 a.m. - The Art of the Steal Location: Mandalay Bay Ballroom JMany will know Frank Abagnale from Steven Spielberg's 2002 film "Catch Me if You Can." The one-time con man and international fugitive who swindled $2.5 million in forged checks went on to help U.S. federal officials investigate fraud cases. Now the CEO of Abagnale and Associates, he has become an invaluable source to the business world on the subject of fraud and fraud protection. With identity theft and digital fraud still on the rise, this session should be an entertaining, and sobering, education on the threats facing businesses and customers around the world. A great way to start Wednesday.1:00 p.m. - Google Wave: Will it replace e-mail as we know it today? Location: SURF EBy many assessments (my own included), Google Wave is a bit of an open collaboration failure. It may seem like an odd reason for me to be excited about this session, but I'm looking forward to the chance to revisit the technology. Also, this is a great case study in connecting free, available Internet tools to existing enterprise computing environments--an issue that IT strategists must contend with as workers spreads out and choose their own productivity tools.  

  Read the article

• Java fatal error, don't know what it means

  - by Thomas King

  It happens at the same place in my code (albeit not the first time the method is executed) but I can't make head or tail of what is wrong. (Doubly so as it's code for a robot). Be most appreciative if someone can give me an idea of what kind of problem it is. I assume it's to do with threading (multi-threaded app) but I don't really know what?!? Worried as deadline for uni project is looming!!! The message: # A fatal error has been detected by the Java Runtime Environment: # SIGSEGV (0xb) at pc=0xb70f0ca7, pid=5065, tid=2145643376 # JRE version: 6.0_15-b03 Java VM: Java HotSpot(TM) Server VM (14.1-b02 mixed mode linux-x86 ) Problematic frame: V [libjvm.so+0x4c9ca7] # An error report file with more information is saved as: /home/thomas/workspace/sir13/hs_err_pid5065.log # If you would like to submit a bug report, please visit: http://java.sun.com/webapps/bugreport/crash.jsp # The log: # A fatal error has been detected by the Java Runtime Environment: # SIGSEGV (0xb) at pc=0xb70f0ca7, pid=5065, tid=2145643376 # JRE version: 6.0_15-b03 Java VM: Java HotSpot(TM) Server VM (14.1-b02 mixed mode linux-x86 ) Problematic frame: V [libjvm.so+0x4c9ca7] # If you would like to submit a bug report, please visit: http://java.sun.com/webapps/bugreport/crash.jsp # --------------- T H R E A D --------------- Current thread (0x0904ec00): JavaThread "CompilerThread1" daemon [_thread_in_native, id=5078, stack(0x7fdbe000,0x7fe3f000)] siginfo:si_signo=SIGSEGV: si_errno=0, si_code=1 (SEGV_MAPERR), si_addr=0x00000004 Registers: EAX=0x00000000, EBX=0xb733d720, ECX=0x000003b4, EDX=0x00000000 ESP=0x7fe3bf30, EBP=0x7fe3bf78, ESI=0x7fe3c250, EDI=0x7e9a7790 EIP=0xb70f0ca7, CR2=0x00000004, EFLAGS=0x00010283 Top of Stack: (sp=0x7fe3bf30) 0x7fe3bf30: 00020008 7ec8de5c 7fe3c250 00000000 0x7fe3bf40: 7f610451 00001803 7e9a7790 000003f5 0x7fe3bf50: 7e920030 7f239910 7f23b349 7f23b348 0x7fe3bf60: 7f550e35 7fe3c250 0000021b b733d720 0x7fe3bf70: 000003bc 7f23db10 7fe3bfc8 b70f0997 0x7fe3bf80: 7fe3c240 7f23db10 00000000 00000002 0x7fe3bf90: 00000000 7fe3c1b0 00000000 00000000 0x7fe3bfa0: 00004000 00000020 7ec88870 00000002 Instructions: (pc=0xb70f0ca7) 0xb70f0c97: 7d 08 8b 87 c8 02 00 00 89 c7 8b 45 c4 8b 14 87 0xb70f0ca7: 8b 42 04 8b 00 85 c0 75 22 8b 4e 04 8b 52 1c 39 Stack: [0x7fdbe000,0x7fe3f000], sp=0x7fe3bf30, free space=503k Native frames: (J=compiled Java code, j=interpreted, Vv=VM code, C=native code) V [libjvm.so+0x4c9ca7] V [libjvm.so+0x4c9997] V [libjvm.so+0x4c6e23] V [libjvm.so+0x25b75f] V [libjvm.so+0x2585df] V [libjvm.so+0x1f2c2f] V [libjvm.so+0x260ceb] V [libjvm.so+0x260609] V [libjvm.so+0x617286] V [libjvm.so+0x6108fe] V [libjvm.so+0x531c4e] C [libpthread.so.0+0x580e] Current CompileTask: C2:133 ! BehaviourLeftUnexplored.action()V (326 bytes) --------------- P R O C E S S --------------- Java Threads: ( = current thread ) 0x08fb5400 JavaThread "DestroyJavaVM" [_thread_blocked, id=5066, stack(0xb6bb0000,0xb6c01000)] 0x09213c00 JavaThread "Thread-4" [_thread_blocked, id=5085, stack(0x7eeaf000,0x7ef00000)] 0x09212c00 JavaThread "Thread-3" [_thread_in_Java, id=5084, stack(0x7f863000,0x7f8b4000)] 0x09206800 JavaThread "AWT-XAWT" daemon [_thread_in_native, id=5083, stack(0x7f8b4000,0x7f905000)] 0x091b7400 JavaThread "Java2D Disposer" daemon [_thread_blocked, id=5082, stack(0x7f93e000,0x7f98f000)] 0x09163c00 JavaThread "Thread-0" [_thread_in_native, id=5081, stack(0x7fc87000,0x7fcd8000)] 0x09050c00 JavaThread "Low Memory Detector" daemon [_thread_blocked, id=5079, stack(0x7fd6d000,0x7fdbe000)] =0x0904ec00 JavaThread "CompilerThread1" daemon [_thread_in_native, id=5078, stack(0x7fdbe000,0x7fe3f000)] 0x0904c000 JavaThread "CompilerThread0" daemon [_thread_blocked, id=5077, stack(0x7fe3f000,0x7fec0000)] 0x0904a800 JavaThread "Signal Dispatcher" daemon [_thread_blocked, id=5076, stack(0x7fec0000,0x7ff11000)] 0x09036c00 JavaThread "Finalizer" daemon [_thread_blocked, id=5075, stack(0x7ff57000,0x7ffa8000)] 0x09035400 JavaThread "Reference Handler" daemon [_thread_blocked, id=5074, stack(0x7ffa8000,0x7fff9000)] Other Threads: 0x09031400 VMThread [stack: 0x7fff9000,0x8007a000] [id=5073] 0x09052800 WatcherThread [stack: 0x7fcec000,0x7fd6d000] [id=5080] VM state:not at safepoint (normal execution) VM Mutex/Monitor currently owned by a thread: None Heap PSYoungGen total 46784K, used 32032K [0xae650000, 0xb3440000, 0xb3a50000) eden space 46720K, 68% used [0xae650000,0xb0588f48,0xb13f0000) from space 64K, 95% used [0xb3390000,0xb339f428,0xb33a0000) to space 384K, 0% used [0xb33e0000,0xb33e0000,0xb3440000) PSOldGen total 43008K, used 20872K [0x84650000, 0x87050000, 0xae650000) object space 43008K, 48% used [0x84650000,0x85ab2308,0x87050000) PSPermGen total 16384K, used 5115K [0x80650000, 0x81650000, 0x84650000) object space 16384K, 31% used [0x80650000,0x80b4ec30,0x81650000) Dynamic libraries: 08048000-08052000 r-xp 00000000 08:05 34708 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/bin/java 08052000-08053000 rwxp 00009000 08:05 34708 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/bin/java 08faf000-09220000 rwxp 00000000 00:00 0 [heap] 7e900000-7e9f9000 rwxp 00000000 00:00 0 7e9f9000-7ea00000 ---p 00000000 00:00 0 7ea00000-7ea41000 rwxp 00000000 00:00 0 7ea41000-7eb00000 ---p 00000000 00:00 0 7eb00000-7ebfc000 rwxp 00000000 00:00 0 7ebfc000-7ec00000 ---p 00000000 00:00 0 7ec00000-7ecf7000 rwxp 00000000 00:00 0 7ecf7000-7ed00000 ---p 00000000 00:00 0 7ed00000-7ede7000 rwxp 00000000 00:00 0 7ede7000-7ee00000 ---p 00000000 00:00 0 7eeaf000-7eeb2000 ---p 00000000 00:00 0 7eeb2000-7ef00000 rwxp 00000000 00:00 0 7ef00000-7eff9000 rwxp 00000000 00:00 0 7eff9000-7f000000 ---p 00000000 00:00 0 7f100000-7f1f6000 rwxp 00000000 00:00 0 7f1f6000-7f200000 ---p 00000000 00:00 0 7f200000-7f2fc000 rwxp 00000000 00:00 0 7f2fc000-7f300000 ---p 00000000 00:00 0 7f300000-7f4fe000 rwxp 00000000 00:00 0 7f4fe000-7f500000 ---p 00000000 00:00 0 7f500000-7f5fb000 rwxp 00000000 00:00 0 7f5fb000-7f600000 ---p 00000000 00:00 0 7f600000-7f6f9000 rwxp 00000000 00:00 0 7f6f9000-7f700000 ---p 00000000 00:00 0 7f700000-7f800000 rwxp 00000000 00:00 0 7f830000-7f836000 r-xs 00000000 08:05 241611 /var/cache/fontconfig/945677eb7aeaf62f1d50efc3fb3ec7d8-x86.cache-2 7f836000-7f838000 r-xs 00000000 08:05 241612 /var/cache/fontconfig/99e8ed0e538f840c565b6ed5dad60d56-x86.cache-2 7f838000-7f83b000 r-xs 00000000 08:05 241620 /var/cache/fontconfig/e383d7ea5fbe662a33d9b44caf393297-x86.cache-2 7f83b000-7f846000 r-xs 00000000 08:05 241600 /var/cache/fontconfig/0f34bcd4b6ee430af32735b75db7f02b-x86.cache-2 7f863000-7f866000 ---p 00000000 00:00 0 7f866000-7f8b4000 rwxp 00000000 00:00 0 7f8b4000-7f8b7000 ---p 00000000 00:00 0 7f8b7000-7f905000 rwxp 00000000 00:00 0 7f905000-7f909000 r-xp 00000000 08:05 5012 /usr/lib/libXfixes.so.3.1.0 7f909000-7f90a000 r-xp 00003000 08:05 5012 /usr/lib/libXfixes.so.3.1.0 7f90a000-7f90b000 rwxp 00004000 08:05 5012 /usr/lib/libXfixes.so.3.1.0 7f90b000-7f913000 r-xp 00000000 08:05 5032 /usr/lib/libXrender.so.1.3.0 7f913000-7f914000 r-xp 00007000 08:05 5032 /usr/lib/libXrender.so.1.3.0 7f914000-7f915000 rwxp 00008000 08:05 5032 /usr/lib/libXrender.so.1.3.0 7f915000-7f91e000 r-xp 00000000 08:05 5004 /usr/lib/libXcursor.so.1.0.2 7f91e000-7f91f000 r-xp 00008000 08:05 5004 /usr/lib/libXcursor.so.1.0.2 7f91f000-7f920000 rwxp 00009000 08:05 5004 /usr/lib/libXcursor.so.1.0.2 7f92f000-7f931000 r-xs 00000000 08:05 241622 /var/cache/fontconfig/f24b2111ab8703b4e963115a8cf14259-x86.cache-2 7f931000-7f932000 r-xs 00000000 08:05 241606 /var/cache/fontconfig/4c73fe0c47614734b17d736dbde7580a-x86.cache-2 7f932000-7f936000 r-xs 00000000 08:05 241599 /var/cache/fontconfig/062808c12e6e608270f93bb230aed730-x86.cache-2 7f936000-7f93e000 r-xs 00000000 08:05 241617 /var/cache/fontconfig/d52a8644073d54c13679302ca1180695-x86.cache-2 7f93e000-7f941000 ---p 00000000 00:00 0 7f941000-7f98f000 rwxp 00000000 00:00 0 7f98f000-7fa0e000 r-xp 00000000 08:05 34755 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libfontmanager.so 7fa0e000-7fa19000 rwxp 0007e000 08:05 34755 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libfontmanager.so 7fa19000-7fa1d000 rwxp 00000000 00:00 0 7fa1d000-7fa21000 r-xp 00000000 08:05 5008 /usr/lib/libXdmcp.so.6.0.0 7fa21000-7fa22000 rwxp 00003000 08:05 5008 /usr/lib/libXdmcp.so.6.0.0 7fa22000-7fa3e000 r-xp 00000000 08:05 6029 /usr/lib/libxcb.so.1.1.0 7fa3e000-7fa3f000 r-xp 0001c000 08:05 6029 /usr/lib/libxcb.so.1.1.0 7fa3f000-7fa40000 rwxp 0001d000 08:05 6029 /usr/lib/libxcb.so.1.1.0 7fa40000-7fa42000 r-xp 00000000 08:05 4997 /usr/lib/libXau.so.6.0.0 7fa42000-7fa43000 r-xp 00001000 08:05 4997 /usr/lib/libXau.so.6.0.0 7fa43000-7fa44000 rwxp 00002000 08:05 4997 /usr/lib/libXau.so.6.0.0 7fa44000-7fb6e000 r-xp 00000000 08:05 4991 /usr/lib/libX11.so.6.2.0 7fb6e000-7fb6f000 ---p 0012a000 08:05 4991 /usr/lib/libX11.so.6.2.0 7fb6f000-7fb70000 r-xp 0012a000 08:05 4991 /usr/lib/libX11.so.6.2.0 7fb70000-7fb72000 rwxp 0012b000 08:05 4991 /usr/lib/libX11.so.6.2.0 7fb72000-7fb73000 rwxp 00000000 00:00 0 7fb73000-7fb81000 r-xp 00000000 08:05 5010 /usr/lib/libXext.so.6.4.0 7fb81000-7fb82000 r-xp 0000d000 08:05 5010 /usr/lib/libXext.so.6.4.0 7fb82000-7fb83000 rwxp 0000e000 08:05 5010 /usr/lib/libXext.so.6.4.0 7fb83000-7fb84000 r-xs 00000000 08:05 241614 /var/cache/fontconfig/c05880de57d1f5e948fdfacc138775d9-x86.cache-2 7fb84000-7fb87000 r-xs 00000000 08:05 241613 /var/cache/fontconfig/a755afe4a08bf5b97852ceb7400b47bc-x86.cache-2 7fb87000-7fb8a000 r-xs 00000000 08:05 241608 /var/cache/fontconfig/6d41288fd70b0be22e8c3a91e032eec0-x86.cache-2 7fb8a000-7fb92000 r-xs 00000000 08:05 219560 /var/cache/fontconfig/e13b20fdb08344e0e664864cc2ede53d-x86.cache-2 7fb92000-7fbd5000 r-xp 00000000 08:05 34752 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/xawt/libmawt.so 7fbd5000-7fbd7000 rwxp 00043000 08:05 34752 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/xawt/libmawt.so 7fbd7000-7fbd8000 rwxp 00000000 00:00 0 7fbd8000-7fc5c000 r-xp 00000000 08:05 34750 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libawt.so 7fc5c000-7fc63000 rwxp 00084000 08:05 34750 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libawt.so 7fc63000-7fc87000 rwxp 00000000 00:00 0 7fc87000-7fc8a000 ---p 00000000 00:00 0 7fc8a000-7fcd8000 rwxp 00000000 00:00 0 7fcd8000-7fceb000 r-xp 00000000 08:05 34739 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libnet.so 7fceb000-7fcec000 rwxp 00013000 08:05 34739 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libnet.so 7fcec000-7fced000 ---p 00000000 00:00 0 7fced000-7fd6d000 rwxp 00000000 00:00 0 7fd6d000-7fd70000 ---p 00000000 00:00 0 7fd70000-7fdbe000 rwxp 00000000 00:00 0 7fdbe000-7fdc1000 ---p 00000000 00:00 0 7fdc1000-7fe3f000 rwxp 00000000 00:00 0 7fe3f000-7fe42000 ---p 00000000 00:00 0 7fe42000-7fec0000 rwxp 00000000 00:00 0 7fec0000-7fec3000 ---p 00000000 00:00 0 7fec3000-7ff11000 rwxp 00000000 00:00 0 7ff11000-7ff18000 r-xs 00000000 08:05 134616 /usr/lib/gconv/gconv-modules.cache 7ff18000-7ff57000 r-xp 00000000 08:05 136279 /usr/lib/locale/en_GB.utf8/LC_CTYPE 7ff57000-7ff5a000 ---p 00000000 00:00 0 7ff5a000-7ffa8000 rwxp 00000000 00:00 0 7ffa8000-7ffab000 ---p 00000000 00:00 0 7ffab000-7fff9000 rwxp 00000000 00:00 0 7fff9000-7fffa000 ---p 00000000 00:00 0 7fffa000-800ad000 rwxp 00000000 00:00 0 800ad000-80243000 r-xs 02fb3000 08:05 34883 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/rt.jar 80243000-80244000 ---p 00000000 00:00 0 80244000-802c4000 rwxp 00000000 00:00 0 802c4000-802c5000 ---p 00000000 00:00 0 802c5000-8034d000 rwxp 00000000 00:00 0 8034d000-80365000 rwxp 00000000 00:00 0 80365000-8037a000 rwxp 00000000 00:00 0 8037a000-804b5000 rwxp 00000000 00:00 0 804b5000-804bd000 rwxp 00000000 00:00 0 804bd000-804d5000 rwxp 00000000 00:00 0 804d5000-804ea000 rwxp 00000000 00:00 0 804ea000-80625000 rwxp 00000000 00:00 0 80625000-8064c000 rwxp 00000000 00:00 0 8064c000-8064f000 rwxp 00000000 00:00 0 8064f000-81650000 rwxp 00000000 00:00 0 81650000-84650000 rwxp 00000000 00:00 0 84650000-87050000 rwxp 00000000 00:00 0 87050000-ae650000 rwxp 00000000 00:00 0 ae650000-b3440000 rwxp 00000000 00:00 0 b3440000-b3a50000 rwxp 00000000 00:00 0 b3a50000-b3a52000 r-xs 00000000 08:05 241602 /var/cache/fontconfig/2c5ba8142dffc8bf0377700342b8ca1a-x86.cache-2 b3a52000-b3a5b000 r-xp 00000000 08:05 5018 /usr/lib/libXi.so.6.0.0 b3a5b000-b3a5c000 r-xp 00008000 08:05 5018 /usr/lib/libXi.so.6.0.0 b3a5c000-b3a5d000 rwxp 00009000 08:05 5018 /usr/lib/libXi.so.6.0.0 b3a5d000-b3a66000 rwxp 00000000 00:00 0 b3a66000-b3b1d000 rwxp 00000000 00:00 0 b3b1d000-b3d5d000 rwxp 00000000 00:00 0 b3d5d000-b6b1d000 rwxp 00000000 00:00 0 b6b1d000-b6b2c000 r-xp 00000000 08:05 34735 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libzip.so b6b2c000-b6b2e000 rwxp 0000e000 08:05 34735 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libzip.so b6b2e000-b6b38000 r-xp 00000000 08:05 1042 /lib/tls/i686/cmov/libnss_files-2.10.1.so b6b38000-b6b39000 r-xp 00009000 08:05 1042 /lib/tls/i686/cmov/libnss_files-2.10.1.so b6b39000-b6b3a000 rwxp 0000a000 08:05 1042 /lib/tls/i686/cmov/libnss_files-2.10.1.so b6b3a000-b6b43000 r-xp 00000000 08:05 1055 /lib/tls/i686/cmov/libnss_nis-2.10.1.so b6b43000-b6b44000 r-xp 00008000 08:05 1055 /lib/tls/i686/cmov/libnss_nis-2.10.1.so b6b44000-b6b45000 rwxp 00009000 08:05 1055 /lib/tls/i686/cmov/libnss_nis-2.10.1.so b6b45000-b6b4b000 r-xp 00000000 08:05 1028 /lib/tls/i686/cmov/libnss_compat-2.10.1.so b6b4b000-b6b4c000 r-xp 00005000 08:05 1028 /lib/tls/i686/cmov/libnss_compat-2.10.1.so b6b4c000-b6b4d000 rwxp 00006000 08:05 1028 /lib/tls/i686/cmov/libnss_compat-2.10.1.so b6b4d000-b6b54000 r-xs 00035000 08:05 304369 /home/thomas/workspace/sir13/javaclient/jars/javaclient.jar b6b54000-b6b5c000 rwxs 00000000 08:05 393570 /tmp/hsperfdata_thomas/5065 b6b5c000-b6b6f000 r-xp 00000000 08:05 1020 /lib/tls/i686/cmov/libnsl-2.10.1.so b6b6f000-b6b70000 r-xp 00012000 08:05 1020 /lib/tls/i686/cmov/libnsl-2.10.1.so b6b70000-b6b71000 rwxp 00013000 08:05 1020 /lib/tls/i686/cmov/libnsl-2.10.1.so b6b71000-b6b73000 rwxp 00000000 00:00 0 b6b73000-b6b77000 r-xp 00000000 08:05 5038 /usr/lib/libXtst.so.6.1.0 b6b77000-b6b78000 r-xp 00004000 08:05 5038 /usr/lib/libXtst.so.6.1.0 b6b78000-b6b79000 rwxp 00005000 08:05 5038 /usr/lib/libXtst.so.6.1.0 b6b79000-b6b7f000 r-xp 00000000 08:05 34723 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/native_threads/libhpi.so b6b7f000-b6b80000 rwxp 00006000 08:05 34723 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/native_threads/libhpi.so b6b80000-b6b81000 rwxp 00000000 00:00 0 b6b81000-b6b82000 r-xp 00000000 00:00 0 b6b82000-b6ba5000 r-xp 00000000 08:05 34733 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libjava.so b6ba5000-b6ba7000 rwxp 00023000 08:05 34733 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libjava.so b6ba7000-b6bae000 r-xp 00000000 08:05 1733 /lib/tls/i686/cmov/librt-2.10.1.so b6bae000-b6baf000 r-xp 00006000 08:05 1733 /lib/tls/i686/cmov/librt-2.10.1.so b6baf000-b6bb0000 rwxp 00007000 08:05 1733 /lib/tls/i686/cmov/librt-2.10.1.so b6bb0000-b6bb3000 ---p 00000000 00:00 0 b6bb3000-b6c01000 rwxp 00000000 00:00 0 b6c01000-b6c25000 r-xp 00000000 08:05 1016 /lib/tls/i686/cmov/libm-2.10.1.so b6c25000-b6c26000 r-xp 00023000 08:05 1016 /lib/tls/i686/cmov/libm-2.10.1.so b6c26000-b6c27000 rwxp 00024000 08:05 1016 /lib/tls/i686/cmov/libm-2.10.1.so b6c27000-b72f4000 r-xp 00000000 08:05 34724 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/server/libjvm.so b72f4000-b7341000 rwxp 006cc000 08:05 34724 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/server/libjvm.so b7341000-b7765000 rwxp 00000000 00:00 0 b7765000-b78a3000 r-xp 00000000 08:05 967 /lib/tls/i686/cmov/libc-2.10.1.so b78a3000-b78a4000 ---p 0013e000 08:05 967 /lib/tls/i686/cmov/libc-2.10.1.so b78a4000-b78a6000 r-xp 0013e000 08:05 967 /lib/tls/i686/cmov/libc-2.10.1.so b78a6000-b78a7000 rwxp 00140000 08:05 967 /lib/tls/i686/cmov/libc-2.10.1.so b78a7000-b78aa000 rwxp 00000000 00:00 0 b78aa000-b78ac000 r-xp 00000000 08:05 1014 /lib/tls/i686/cmov/libdl-2.10.1.so b78ac000-b78ad000 r-xp 00001000 08:05 1014 /lib/tls/i686/cmov/libdl-2.10.1.so b78ad000-b78ae000 rwxp 00002000 08:05 1014 /lib/tls/i686/cmov/libdl-2.10.1.so b78ae000-b78b5000 r-xp 00000000 08:05 34734 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/jli/libjli.so b78b5000-b78b7000 rwxp 00006000 08:05 34734 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/jli/libjli.so b78b7000-b78b8000 rwxp 00000000 00:00 0 b78b8000-b78cd000 r-xp 00000000 08:05 1081 /lib/tls/i686/cmov/libpthread-2.10.1.so b78cd000-b78ce000 r-xp 00014000 08:05 1081 /lib/tls/i686/cmov/libpthread-2.10.1.so b78ce000-b78cf000 rwxp 00015000 08:05 1081 /lib/tls/i686/cmov/libpthread-2.10.1.so b78cf000-b78d1000 rwxp 00000000 00:00 0 b78d1000-b78d2000 r-xs 00000000 08:05 161622 /var/cache/fontconfig/4794a0821666d79190d59a36cb4f44b5-x86.cache-2 b78d2000-b78d4000 r-xs 00000000 08:05 241610 /var/cache/fontconfig/7ef2298fde41cc6eeb7af42e48b7d293-x86.cache-2 b78d4000-b78df000 r-xp 00000000 08:05 34732 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libverify.so b78df000-b78e0000 rwxp 0000b000 08:05 34732 /usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/libverify.so b78e0000-b78e2000 rwxp 00000000 00:00 0 b78e2000-b78e3000 r-xp 00000000 00:00 0 [vdso] b78e3000-b78fe000 r-xp 00000000 08:05 64 /lib/ld-2.10.1.so b78fe000-b78ff000 r-xp 0001a000 08:05 64 /lib/ld-2.10.1.so b78ff000-b7900000 rwxp 0001b000 08:05 64 /lib/ld-2.10.1.so bfc33000-bfc48000 rwxp 00000000 00:00 0 [stack] VM Arguments: jvm_args: -Dfile.encoding=UTF-8 java_command: Main Launcher Type: SUN_STANDARD Environment Variables: PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games USERNAME=thomas LD_LIBRARY_PATH=/usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/server:/usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386:/usr/lib/jvm/java-6-sun-1.6.0.15/jre/../lib/i386:/usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386/client:/usr/lib/jvm/java-6-sun-1.6.0.15/jre/lib/i386:/usr/lib/xulrunner-addons:/usr/lib/xulrunner-addons SHELL=/bin/bash DISPLAY=:0.0 Signal Handlers: SIGSEGV: [libjvm.so+0x650690], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 SIGBUS: [libjvm.so+0x650690], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 SIGFPE: [libjvm.so+0x52f580], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 SIGPIPE: [libjvm.so+0x52f580], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 SIGXFSZ: [libjvm.so+0x52f580], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 SIGILL: [libjvm.so+0x52f580], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 SIGUSR1: SIG_DFL, sa_mask[0]=0x00000000, sa_flags=0x00000000 SIGUSR2: [libjvm.so+0x532170], sa_mask[0]=0x00000004, sa_flags=0x10000004 SIGHUP: [libjvm.so+0x531ea0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 SIGINT: [libjvm.so+0x531ea0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 SIGTERM: [libjvm.so+0x531ea0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 SIGQUIT: [libjvm.so+0x531ea0], sa_mask[0]=0x7ffbfeff, sa_flags=0x10000004 --------------- S Y S T E M --------------- OS:squeeze/sid uname:Linux 2.6.31-20-generic #57-Ubuntu SMP Mon Feb 8 09:05:19 UTC 2010 i686 libc:glibc 2.10.1 NPTL 2.10.1 rlimit: STACK 8192k, CORE 0k, NPROC infinity, NOFILE 1024, AS infinity load average:1.07 0.55 0.23 CPU:total 2 (2 cores per cpu, 1 threads per core) family 6 model 15 stepping 13, cmov, cx8, fxsr, mmx, sse, sse2, sse3, ssse3 Memory: 4k page, physical 3095836k(1519972k free), swap 1261060k(1261060k free) vm_info: Java HotSpot(TM) Server VM (14.1-b02) for linux-x86 JRE (1.6.0_15-b03), built on Jul 2 2009 15:49:13 by "java_re" with gcc 3.2.1-7a (J2SE release) time: Mon Mar 22 12:08:40 2010 elapsed time: 21 seconds

  Read the article

• MySQL Connect 9 Days Away – Optimizer Sessions

  - by Bertrand Matthelié

  72 1024x768 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Following my previous blog post focusing on InnoDB talks at MySQL Connect, let us review today the sessions focusing on the MySQL Optimizer: Saturday, 11.30 am, Room Golden Gate 6: MySQL Optimizer Overview—Olav Sanstå, Oracle The goal of MySQL optimizer is to take a SQL query as input and produce an optimal execution plan for the query. This session presents an overview of the main phases of the MySQL optimizer and the primary optimizations done to the query. These optimizations are based on a combination of logical transformations and cost-based decisions. Examples of optimization strategies the presentation covers are the main query transformations, the join optimizer, the data access selection strategies, and the range optimizer. For the cost-based optimizations, an overview of the cost model and the data used for doing the cost estimations is included. Saturday, 1.00 pm, Room Golden Gate 6: Overview of New Optimizer Features in MySQL 5.6—Manyi Lu, Oracle Many optimizer features have been added into MySQL 5.6. This session provides an introduction to these great features. Multirange read, index condition pushdown, and batched key access will yield huge performance improvements on large data volumes. Structured explain, explain for update/delete/insert, and optimizer tracing will help users analyze and speed up queries. And last but not least, the session covers subquery optimizations in Release 5.6. Saturday, 7.00 pm, Room Golden Gate 4: BoF: Query Optimizations: What Is New and What Is Coming? This BoF presents common techniques for query optimization, covers what is new in MySQL 5.6, and provides a discussion forum in which attendees can tell the MySQL optimizer team which optimizations they would like to see in the future. Sunday, 1.15 pm, Room Golden Gate 8: Query Performance Comparison of MySQL 5.5 and MySQL 5.6—Øystein Grøvlen, Oracle MySQL Release 5.6 contains several improvements in the query optimizer that create improved performance for complex queries. This presentation looks at how MySQL 5.6 improves the performance of many of the queries in the DBT-3 benchmark. Based on the observed improvements, the presentation discusses what makes the specific queries perform better in Release 5.6. It describes the relevant new optimization techniques and gives examples of the types of queries that will benefit from these techniques. Sunday, 4.15 pm, Room Golden Gate 4: Powerful EXPLAIN in MySQL 5.6—Evgeny Potemkin, Oracle The EXPLAIN command of MySQL has long been a very useful tool for understanding how MySQL will execute a query. Release 5.6 of the MySQL database offers several new additions that give more-detailed information about the query plan and make it easier to understand at the same time. This presentation gives an overview of new EXPLAIN features: structured EXPLAIN in JSON format, EXPLAIN for INSERT/UPDATE/DELETE, and optimizer tracing. Examples in the session give insights into how you can take advantage of the new features. They show how these features supplement and relate to each other and to classical EXPLAIN and how and why the MySQL server chooses a particular query plan. You can check out the full program here as well as in the September edition of the MySQL newsletter. Not registered yet? You can still save US$ 300 over the on-site fee – Register Now!

  Read the article

< Previous Page | 415 416 417 418 419 420 421 422 423 424 425 426  | Next Page >