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  • SQLAuthority News – Online Webcast How to Identify Resource Bottlenecks – Wait Types and Queues

    - by pinaldave
    As all of you know I have been working a recently on the subject SQL Server Wait Statistics, the reason is since I have published book on this subject SQL Wait Stats Joes 2 Pros: SQL Performance Tuning Techniques Using Wait Statistics, Types & Queues [Amazon] | [Flipkart] | [Kindle], lots of question and answers I am encountering. When I was writing the book, I kept version 1 of the book in front of me. I wanted to write something which one can use right away. I wanted to create an primer for everybody who have not explored wait stats method of performance tuning. Well, the books have been very well received and in fact we ran out of huge stock 2 times in India so far and once in USA during SQLPASS. I have received so many questions on this subject that I feel I can write one more book of the same size. I have been asked if I can create videos which can go along with this book. Personally I am working with SQL Server 2012 CTP3 and there are so many new wait types, I feel the subject of wait stats is going to be very very crucial in next version of SQL Server. If you have not started learning about this subject, I suggest you at least start exploring this right now. Learn how to begin on this subject atleast as when the next version comes in, you know how to read DMVs. I will be presenting on the same subject of performance tuning by wait stats in webcast embarcadero SQL Server Community Webinar. Here are few topics which we will be covering during the webinar. Beginning with SQL Wait Stats Understanding various aspect of SQL Wait Stats Understanding Query Life Cycle Identifying three TOP wait Stats Resolution of the common 3 wait types and queues Details of the webcast: How to Identify Resource Bottlenecks – Wait Types and Queues Date and Time: Wednesday, November 2, 11:00 AM PDT Registration Link I thank embarcadero for organizing opportunity for me to share my experience on subject of wait stats and connecting me with community to further take this subject to next level. One more interesting thing, I will ask one question at the end of the webinar and I will be giving away 5 copy of my SQL Wait Stats print book to first five correct answers. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: About Me, Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • Plan Caching and Query Memory Part I – When not to use stored procedure or other plan caching mechanisms like sp_executesql or prepared statement

    - by sqlworkshops
      The most common performance mistake SQL Server developers make: SQL Server estimates memory requirement for queries at compilation time. This mechanism is fine for dynamic queries that need memory, but not for queries that cache the plan. With dynamic queries the plan is not reused for different set of parameters values / predicates and hence different amount of memory can be estimated based on different set of parameter values / predicates. Common memory allocating queries are that perform Sort and do Hash Match operations like Hash Join or Hash Aggregation or Hash Union. This article covers Sort with examples. It is recommended to read Plan Caching and Query Memory Part II after this article which covers Hash Match operations.   When the plan is cached by using stored procedure or other plan caching mechanisms like sp_executesql or prepared statement, SQL Server estimates memory requirement based on first set of execution parameters. Later when the same stored procedure is called with different set of parameter values, the same amount of memory is used to execute the stored procedure. This might lead to underestimation / overestimation of memory on plan reuse, overestimation of memory might not be a noticeable issue for Sort operations, but underestimation of memory will lead to spill over tempdb resulting in poor performance.   This article covers underestimation / overestimation of memory for Sort. Plan Caching and Query Memory Part II covers underestimation / overestimation for Hash Match operation. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   To read additional articles I wrote click here.   In most cases it is cheaper to pay for the compilation cost of dynamic queries than huge cost for spill over tempdb, unless memory requirement for a stored procedure does not change significantly based on predicates.   The best way to learn is to practice. To create the below tables and reproduce the behavior, join the mailing list by using this link: www.sqlworkshops.com/ml and I will send you the table creation script. Most of these concepts are also covered in our webcasts: www.sqlworkshops.com/webcasts   Enough theory, let’s see an example where we sort initially 1 month of data and then use the stored procedure to sort 6 months of data.   Let’s create a stored procedure that sorts customers by name within certain date range.   --Example provided by www.sqlworkshops.com create proc CustomersByCreationDate @CreationDateFrom datetime, @CreationDateTo datetime as begin       declare @CustomerID int, @CustomerName varchar(48), @CreationDate datetime       select @CustomerName = c.CustomerName, @CreationDate = c.CreationDate from Customers c             where c.CreationDate between @CreationDateFrom and @CreationDateTo             order by c.CustomerName       option (maxdop 1)       end go Let’s execute the stored procedure initially with 1 month date range.   set statistics time on go --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-31' go The stored procedure took 48 ms to complete.     The stored procedure was granted 6656 KB based on 43199.9 rows being estimated.       The estimated number of rows, 43199.9 is similar to actual number of rows 43200 and hence the memory estimation should be ok.       There was no Sort Warnings in SQL Profiler.      Now let’s execute the stored procedure with 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-06-30' go The stored procedure took 679 ms to complete.      The stored procedure was granted 6656 KB based on 43199.9 rows being estimated.      The estimated number of rows, 43199.9 is way different from the actual number of rows 259200 because the estimation is based on the first set of parameter value supplied to the stored procedure which is 1 month in our case. This underestimation will lead to sort spill over tempdb, resulting in poor performance.      There was Sort Warnings in SQL Profiler.    To monitor the amount of data written and read from tempdb, one can execute select num_of_bytes_written, num_of_bytes_read from sys.dm_io_virtual_file_stats(2, NULL) before and after the stored procedure execution, for additional information refer to the webcast: www.sqlworkshops.com/webcasts.     Let’s recompile the stored procedure and then let’s first execute the stored procedure with 6 month date range.  In a production instance it is not advisable to use sp_recompile instead one should use DBCC FREEPROCCACHE (plan_handle). This is due to locking issues involved with sp_recompile, refer to our webcasts for further details.   exec sp_recompile CustomersByCreationDate go --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-06-30' go Now the stored procedure took only 294 ms instead of 679 ms.    The stored procedure was granted 26832 KB of memory.      The estimated number of rows, 259200 is similar to actual number of rows of 259200. Better performance of this stored procedure is due to better estimation of memory and avoiding sort spill over tempdb.      There was no Sort Warnings in SQL Profiler.       Now let’s execute the stored procedure with 1 month date range.   --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-31' go The stored procedure took 49 ms to complete, similar to our very first stored procedure execution.     This stored procedure was granted more memory (26832 KB) than necessary memory (6656 KB) based on 6 months of data estimation (259200 rows) instead of 1 month of data estimation (43199.9 rows). This is because the estimation is based on the first set of parameter value supplied to the stored procedure which is 6 months in this case. This overestimation did not affect performance, but it might affect performance of other concurrent queries requiring memory and hence overestimation is not recommended. This overestimation might affect performance Hash Match operations, refer to article Plan Caching and Query Memory Part II for further details.    Let’s recompile the stored procedure and then let’s first execute the stored procedure with 2 day date range. exec sp_recompile CustomersByCreationDate go --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-02' go The stored procedure took 1 ms.      The stored procedure was granted 1024 KB based on 1440 rows being estimated.      There was no Sort Warnings in SQL Profiler.      Now let’s execute the stored procedure with 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-06-30' go   The stored procedure took 955 ms to complete, way higher than 679 ms or 294ms we noticed before.      The stored procedure was granted 1024 KB based on 1440 rows being estimated. But we noticed in the past this stored procedure with 6 month date range needed 26832 KB of memory to execute optimally without spill over tempdb. This is clear underestimation of memory and the reason for the very poor performance.      There was Sort Warnings in SQL Profiler. Unlike before this was a Multiple pass sort instead of Single pass sort. This occurs when granted memory is too low.      Intermediate Summary: This issue can be avoided by not caching the plan for memory allocating queries. Other possibility is to use recompile hint or optimize for hint to allocate memory for predefined date range.   Let’s recreate the stored procedure with recompile hint. --Example provided by www.sqlworkshops.com drop proc CustomersByCreationDate go create proc CustomersByCreationDate @CreationDateFrom datetime, @CreationDateTo datetime as begin       declare @CustomerID int, @CustomerName varchar(48), @CreationDate datetime       select @CustomerName = c.CustomerName, @CreationDate = c.CreationDate from Customers c             where c.CreationDate between @CreationDateFrom and @CreationDateTo             order by c.CustomerName       option (maxdop 1, recompile)       end go Let’s execute the stored procedure initially with 1 month date range and then with 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-30' exec CustomersByCreationDate '2001-01-01', '2001-06-30' go The stored procedure took 48ms and 291 ms in line with previous optimal execution times.      The stored procedure with 1 month date range has good estimation like before.      The stored procedure with 6 month date range also has good estimation and memory grant like before because the query was recompiled with current set of parameter values.      The compilation time and compilation CPU of 1 ms is not expensive in this case compared to the performance benefit.     Let’s recreate the stored procedure with optimize for hint of 6 month date range.   --Example provided by www.sqlworkshops.com drop proc CustomersByCreationDate go create proc CustomersByCreationDate @CreationDateFrom datetime, @CreationDateTo datetime as begin       declare @CustomerID int, @CustomerName varchar(48), @CreationDate datetime       select @CustomerName = c.CustomerName, @CreationDate = c.CreationDate from Customers c             where c.CreationDate between @CreationDateFrom and @CreationDateTo             order by c.CustomerName       option (maxdop 1, optimize for (@CreationDateFrom = '2001-01-01', @CreationDateTo ='2001-06-30'))       end go Let’s execute the stored procedure initially with 1 month date range and then with 6 month date range.   --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-01-30' exec CustomersByCreationDate '2001-01-01', '2001-06-30' go The stored procedure took 48ms and 291 ms in line with previous optimal execution times.    The stored procedure with 1 month date range has overestimation of rows and memory. This is because we provided hint to optimize for 6 months of data.      The stored procedure with 6 month date range has good estimation and memory grant because we provided hint to optimize for 6 months of data.       Let’s execute the stored procedure with 12 month date range using the currently cashed plan for 6 month date range. --Example provided by www.sqlworkshops.com exec CustomersByCreationDate '2001-01-01', '2001-12-31' go The stored procedure took 1138 ms to complete.      2592000 rows were estimated based on optimize for hint value for 6 month date range. Actual number of rows is 524160 due to 12 month date range.      The stored procedure was granted enough memory to sort 6 month date range and not 12 month date range, so there will be spill over tempdb.      There was Sort Warnings in SQL Profiler.      As we see above, optimize for hint cannot guarantee enough memory and optimal performance compared to recompile hint.   This article covers underestimation / overestimation of memory for Sort. Plan Caching and Query Memory Part II covers underestimation / overestimation for Hash Match operation. It is important to note that underestimation of memory for Sort and Hash Match operations lead to spill over tempdb and hence negatively impact performance. Overestimation of memory affects the memory needs of other concurrently executing queries. In addition, it is important to note, with Hash Match operations, overestimation of memory can actually lead to poor performance.   Summary: Cached plan might lead to underestimation or overestimation of memory because the memory is estimated based on first set of execution parameters. It is recommended not to cache the plan if the amount of memory required to execute the stored procedure has a wide range of possibilities. One can mitigate this by using recompile hint, but that will lead to compilation overhead. However, in most cases it might be ok to pay for compilation rather than spilling sort over tempdb which could be very expensive compared to compilation cost. The other possibility is to use optimize for hint, but in case one sorts more data than hinted by optimize for hint, this will still lead to spill. On the other side there is also the possibility of overestimation leading to unnecessary memory issues for other concurrently executing queries. In case of Hash Match operations, this overestimation of memory might lead to poor performance. When the values used in optimize for hint are archived from the database, the estimation will be wrong leading to worst performance, so one has to exercise caution before using optimize for hint, recompile hint is better in this case. I explain these concepts with detailed examples in my webcasts (www.sqlworkshops.com/webcasts), I recommend you to watch them. The best way to learn is to practice. To create the above tables and reproduce the behavior, join the mailing list at www.sqlworkshops.com/ml and I will send you the relevant SQL Scripts.     Register for the upcoming 3 Day Level 400 Microsoft SQL Server 2008 and SQL Server 2005 Performance Monitoring & Tuning Hands-on Workshop in London, United Kingdom during March 15-17, 2011, click here to register / Microsoft UK TechNet.These are hands-on workshops with a maximum of 12 participants and not lectures. For consulting engagements click here.     Disclaimer and copyright information:This article refers to organizations and products that may be the trademarks or registered trademarks of their various owners. Copyright of this article belongs to R Meyyappan / www.sqlworkshops.com. You may freely use the ideas and concepts discussed in this article with acknowledgement (www.sqlworkshops.com), but you may not claim any of it as your own work. This article is for informational purposes only; you use any of the suggestions given here entirely at your own risk.   R Meyyappan [email protected] LinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • Add Bookmarks and Notes to Delicious in IE 8

    - by Asian Angel
    Are you constantly adding bookmarks to your Delicious account while browsing but want to keep UI use to a minimum? Add bookmarks directly to your account from the context menu using the Share with Delicious accelerator. Share with Delicious in Action To add the accelerator click on Add to Internet Explorer and confirm the installation when the secondary window appears. This is going to be much better than having the Favorites Bar or a new toolbar taking up precious UI room. When you find a webpage that you would like to bookmark right click within the page, go to All Accelerators and select Share with Delicious. The form for the new bookmark will open in a new tab with the URL and title filled in. All that you need to do is add any desired notes/tags and save the bookmark. Suppose that you want notes from the page added to the bookmark. Highlight the desired text, right click on it, then go to All Accelerators and select Share with Delicious. As before the form will open in a new tab…you can see the highlighted text was entered into the notes section for the new bookmark. All that is left to do is add an appropriate tag and save. Once you save your new bookmark the tab will auto navigate to the webpage that you just saved. Returning to our account showed the new bookmark ready for future use along with a the notes for later reference. Conclusion If you add bookmarks to your Delicious account but want to save UI room, then the Share with Delicious accelerator will make a nice addition to Internet Explorer. Links Add the Share with Delicious accelerator to Internet Explorer 8 Similar Articles Productive Geek Tips Access and Manage Your Delicious Bookmarks the Easy WayQuickly Add Bookmarks to Delicious in FirefoxAutomate Adding Bookmarks to del.icio.usHow Many Times Has an Article Been Bookmarked on del.icio.us?Add Social Bookmarking (Digg This!) Links to your Wordpress Blog 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 Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 Use ILovePDF To Split and Merge PDF Files TimeToMeet is a Simple Online Meeting Planning Tool Easily Create More Bookmark Toolbars in Firefox Filevo is a Cool File Hosting & Sharing Site Get a free copy of WinUtilities Pro 2010 World Cup Schedule

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  • BI&EPM in Focus June 2013

    - by Mike.Hallett(at)Oracle-BI&EPM
    Analyst Report from Ovum: BI bites into a bigger slice of Oracle’s Red Stack Customers INC Research Ensures 24/7 Enterprise Application Availability and Supports Rapid Expansion in Asia with Managed Cloud Services – Hyperion Planning, PeopleSoft, E-Business Suite, SOA Suite PL Developments Improves Quality and Demand Planning Accuracy, Streamlines Compliance as It Moves into Manufacturing – Hyperion Planning, OBIEE, E-Business Suite Release 12.1, Agile, Demantra Kiabi Provides Store Managers with Monthly Earnings Statements in Four Business Days to Support Continued Retail Growth – Hyperion Planning, Hyperion Financial Reporting, Hyperion Smart View for Office Speedy Cash Improves Global Financial Budgeting and Forecasting to Support Continued Company Growth - Hyperion Planning, Essbase, Hyperion Smart View for Office, Hyperion Financial Management Grupo Sports World Automates and Reduces Budget Consolidation Time by 33% for 30 Fitness Centers – Hyperion Planning Jupiter Shop Channel Automates Budgeting Processes, Enhances Visibility of Project Investments to Support Strategic Decision-Making – Hyperion Planning GENBAND Saves US$1.25 Million Annually with Automated Global Trade Management, Gains Compliance Assurance – Hyperion Financial Management, E-Business Suite Aldar Properties Consolidates and Simplifies Group Planning and Reporting for Business and Finance Structures with Integrated ERP and Business Intelligence – Hyperion Planning, Essbase, Data Integrator, OBIEE, E-Business Suite, SUN Link to Complete Archive Enterprise Performance Management Hyperion EPM 11.1.2.3 Webcast Tutorials EPM Blog: Three Technologies CFOs Need to Know About The CFO as Catalyst for Change - Part 1 The CFO as Catalyst for Change - Part 2 Actions Speak Louder in Scorecards Unlocking Business Potential with Enterprise Performance Management Business Intelligence Oracle Database 12c is launched Analysis: How to Take Big Data Advantage of Oracle Database 12c by Data-informed.com Normal 0 false false false EN-GB 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-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;}

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  • JSR 360 and JSR 361: A Big Leap for Java ME 8

    - by terrencebarr
    It might have gone unnoticed to some, but Java ME took a big leap forward a couple of weeks ago with the filing of two new JSRs: JSR 360: “Connected Limited Device Configuration 8″ (aka CLDC 8) JSR 361: “Java ME Embedded Profile” (aka ME EP) Together, these two JSRs will significantly update, enhance, and modernize the Java ME platform, and specifically small embedded Java, with a host of new features and functionality. JSR 360 – Connected Limited Device Configuration 8 CLDC 8 is based on JSR 139 (CLDC 1.1) and updates the core Java ME VM, language support, libraries, and features to be aligned with Java SE 8. This will include: VM updated to comply with the JVM language specification version 2 Support for SE 7/8 language features like Generics, Assertions, Annotations, Try-with-Resources, and more New libraries such as Collections, NIO subset, Logging API subset A consolidated and enhanced Generic Connection Framework for multi-protocol I/O With CLDC 8, Java ME and Java SE are entering their next phase of alignment – making Java the only technology today that truly scales application development, code re-use, and tooling across the whole range of IT platforms, from small embedded to large enterprise. JSR 361 – Java ME Embedded Profile ME EP is based on JSR 228 (IMP-NG) and updates the specification in key areas to provide a powerful and flexible application environment for small embedded Java platforms, building on the features of CLDC 8:  A new, lightweight component and services model Shared libraries Multi-application concurrency, inter-application communication, and event system Application management API optionality, to address low-footprint use cases With ME EP, application developers will have a modern application environment which allows development and deployment of  modular, robust, sophisticated, and footprint-optimized solutions for a wide range of embedded use cases and devices. Summary While these JSRs are still under development, it’s clear that there are exciting new times ahead for Java ME – turning into a serious application platform while maintaining the focus on resource-constrained devices to address the expected explosion of small, smart, and connected embedded platforms. To learn more, click on the above links for JSR 360 and JSR 361. Or review the JavaOne 2012 online presentations on the topic: CON11300: Expanding the reach of the Java ME Platform CON5943: Java ME 8 Service Platform And stay tuned for more in this space! Cheers, – Terrence Filed under: Mobile & Embedded Tagged: "jsr 360", "jsr 361", "me 8", embedded, Embedded Java, JCP

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  • JSR 360 and JSR 361: A Big Leap for Java ME 8

    - by terrencebarr
    It might have gone unnoticed to some, but Java ME took a big leap forward a couple of weeks ago with the filing of two new JSRs: JSR 360: “Connected Limited Device Configuration 8″ (aka CLDC 8) JSR 361: “Java ME Embedded Profile” (aka ME EP) Together, these two JSRs will significantly update, enhance, and modernize the Java ME platform, and specifically small embedded Java, with a host of new features and functionality. JSR 360 – Connected Limited Device Configuration 8 CLDC 8 is based on JSR 139 (CLDC 1.1) and updates the core Java ME VM, language support, libraries, and features to be aligned with Java SE 8. This will include: VM updated to comply with the JVM language specification version 2 Support for SE 7/8 language features like Generics, Assertions, Annotations, Try-with-Resources, and more New libraries such as Collections, NIO subset, Logging API subset A consolidated and enhanced Generic Connection Framework for multi-protocol I/O With CLDC 8, Java ME and Java SE are entering their next phase of alignment – making Java the only technology today that truly scales application development, code re-use, and tooling across the whole range of IT platforms, from small embedded to large enterprise. JSR 361 – Java ME Embedded Profile ME EP is based on JSR 228 (IMP-NG) and updates the specification in key areas to provide a powerful and flexible application environment for small embedded Java platforms, building on the features of CLDC 8:  A new, lightweight component and services model Shared libraries Multi-application concurrency, inter-application communication, and event system Application management API optionality, to address low-footprint use cases With ME EP, application developers will have a modern application environment which allows development and deployment of  modular, robust, sophisticated, and footprint-optimized solutions for a wide range of embedded use cases and devices. Summary While these JSRs are still under development, it’s clear that there are exciting new times ahead for Java ME – turning into a serious application platform while maintaining the focus on resource-constrained devices to address the expected explosion of small, smart, and connected embedded platforms. To learn more, click on the above links for JSR 360 and JSR 361. Or review the JavaOne 2012 online presentations on the topic: CON11300: Expanding the reach of the Java ME Platform CON5943: Java ME 8 Service Platform And stay tuned for more in this space! Cheers, – Terrence Filed under: Mobile & Embedded Tagged: "jsr 360", "jsr 361", "me 8", embedded, Embedded Java, JCP

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  • Make Chrome’s New Tab Page More Useful and Artistic

    - by Asian Angel
    Are you tired of the default New Tab Page in Google Chrome and want something more useful and artistic? Then join us as we look at the Incredible StartPage extension. Before Here is the default “New Tab Page” in our Chrome Browser…it looks rather plain and boring. How about something better? Incredible StartPage in Action This is what our “New Tab Page” looked like after installing the extension. As you can see there is a “Note Section”, “Closed Tabs Section”, “All Bookmarks Section”, and a “Bookmarks Toolbar (links only) Section”. Note: Clicking on links in Incredible StartPage will open them in the current tab. If you want you can easily modify how Incredible StartPage looks using the “Options” in the upper right corner. After only a couple of minutes our “New Tab Page” was looking nice…new background color, image, and altered note. A very useful feature of the “Note Section” is that you can add your notes to an e-mail by clicking on the “Post to Gmail Link” just below the note. Note: Special “Chrome Pages” (i.e. Extensions) will not open from the “Closed Tabs Section”. When you click on “Post to Gmail” a new tab will be opened with your notes pre-pasted into the main letter body. All that is left for you to do is select the appropriate e-mail address(es) and to make any desired modifications to the “Subject & Letter”. Going back to the “New Tab Page” you can trade bookmarks back and forth between the “All Bookmarks Section” and the “Bookmarks Toolbar Section”. Simply drag-and-drop as desired…but keep in mind that any changes made here will also be reflected in your “Bookmarks Toolbar & Other Bookmarks”. There is our bookmark freshly traded over to the “Bookmarks Toolbar Section”…looking very nice. Conclusion If you are tired of the default “New Tab Page” in Google Chrome then the Incredible StartPage extension will make for a refreshing change. Links Download the Incredible StartPage extension (Google Chrome Extensions) Similar Articles Productive Geek Tips Turn Chrome’s New Tab Page into a Google Tasks PageAccess Google Chrome’s Special Pages the Easy WayReplace Google Chrome’s New Tab Page with Speed DialRegistry Hack to Set Internet Explorer Start PageMake iGoogle Your Startup Page in Microsoft Outlook 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 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 PCmover Professional Get Better Windows Search With UltraSearch Scan News With NY Times Article Skimmer SpeedyFox Claims to Speed up your Firefox Beware Hover Kitties Test Drive Mobile Phones Online With TryPhone Ben & Jerry’s Free Cone Day, 3/23/10

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  • Working with Joins in LINQ

    - by vik20000in
    While working with data most of the time we have to work with relation between different lists of data. Many a times we want to fetch data from both the list at once. This requires us to make different kind of joins between the lists of data. LINQ support different kinds of join Inner Join     List<Customer> customers = GetCustomerList();     List<Supplier> suppliers = GetSupplierList();      var custSupJoin =         from sup in suppliers         join cust in customers on sup.Country equals cust.Country         select new { Country = sup.Country, SupplierName = sup.SupplierName, CustomerName = cust.CompanyName }; Group Join – where By the joined dataset is also grouped.     List<Customer> customers = GetCustomerList();     List<Supplier> suppliers = GetSupplierList();      var custSupQuery =         from sup in suppliers         join cust in customers on sup.Country equals cust.Country into cs         select new { Key = sup.Country, Items = cs }; We can also work with the Left outer join in LINQ like this.     List<Customer> customers = GetCustomerList();     List<Supplier> suppliers = GetSupplierList();      var supplierCusts =         from sup in suppliers         join cust in customers on sup.Country equals cust.Country into cs         from c in cs.DefaultIfEmpty()  // DefaultIfEmpty preserves left-hand elements that have no matches on the right side         orderby sup.SupplierName         select new { Country = sup.Country, CompanyName = c == null ? "(No customers)" : c.CompanyName,                      SupplierName = sup.SupplierName};Vikram

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  • SQL SERVER – Introduction to CUME_DIST – Analytic Functions Introduced in SQL Server 2012

    - by pinaldave
    This blog post is written in response to the T-SQL Tuesday post of Prox ‘n’ Funx. This is a very interesting subject. By the way Brad Schulz is my favorite guy when it is about blogging. I respect him as well learn a lot from him. Everybody is writing something new his subject, I decided to start SQL Server 2012 analytic functions series. SQL Server 2012 introduces new analytical function CUME_DIST(). This function provides cumulative distribution value. It will be very difficult to explain this in words so I will attempt small example to explain you this function. Instead of creating new table, I will be using AdventureWorks sample database as most of the developer uses that for experiment. Let us fun following query. USE AdventureWorks GO SELECT SalesOrderID, OrderQty, CUME_DIST() OVER(ORDER BY SalesOrderID) AS CDist FROM Sales.SalesOrderDetail WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY CDist DESC GO Above query will give us following result. Now let us understand what is the formula behind CUME_DIST and why the values in SalesOrderID = 43670 are 1. Let us take more example and be clear about why the values in SalesOrderID = 43667 are 0.5. Now let us enhence the same example and use PARTITION BY into the OVER clause and see the results. Run following query in SQL Server 2012. USE AdventureWorks GO SELECT SalesOrderID, OrderQty, ProductID, CUME_DIST() OVER(PARTITION BY SalesOrderID ORDER BY ProductID ) AS CDist FROM Sales.SalesOrderDetail s WHERE SalesOrderID IN (43670, 43669, 43667, 43663) ORDER BY s.SalesOrderID DESC, CDist DESC GO Now let us see the result of this query. We are have changed the ORDER BY clause as well partitioning by SalesOrderID. You can see that CUME_DIST() function provides us different results. Additionally now we see value 1 multiple times. As we are using partitioning for each group of SalesOrderID we get the CUME_DIST() value. CUME_DIST() was long awaited Analytical function and I am glad to see it in SQL Server 2012. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Function, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Warm Reception By Partners at EMEA Manageability Forum

    - by Get_Specialized!
    For the EMEA Partners that were able to attend the event in Istanbul Turkey, thank you for your attendance and feedback at the event. As you can see, the weather kept most of inside during the event and at times there was even some snow.  And while it may have been chilly outside, there was a warm reception from Partners who traveled from all over EMEA to hear from other Oracle Specialized Partners and subject matter experts about the opportunities and benefits of Oracle Enterprise Manager and Exadata Specialization. Here you can see David Robo, Oracle Technology Director for Manageability kicking off the event followed later by Patrick Rood, Oracle Indirect Manageability Business. A special thank you to all the Partner speakers including Ron Tolido, VP and CTO of Application Services Continental Europe Capgemini, who delivered a very innovative keynote where many in attendance learned that Black Swans do exist. And while at break, interactivity among partners continued and it was great to see such innovative partners who had listed their achieved specializations on their business cards. Here we can see Oracle Enterprise Manager customer, Turkish Oracle User Group board member and Blogger Gokhan Atil sharing his product experiences with others attending. Additionally, Christian Trieb of Paragon Data, also shared with other Partners what the German Oracle User Group (DOAG) was doing around manageability and invitation to submit papers for their next event. Here we can see at one of the breaks, one of the event organizers Javier Puerta (left), Oracle Director of Partner Programs, joined by Sebastiaan Vingerhoed (middle), Oracle EE & CIS Manager Manageability and speaker on Managing the Application Lifecycle, Julian Dontcheff (right), Global Head of Database Management at Accenture. Below is Julian Dontcheff's delivering his partner presentation on Exadata and Lifecycle Management. Just after his plane landed and 1 hour Turkish taxi experience to the event location, Julian still took the time to sit down with me and provide some extra insights on his experiences of managing the enterprise infrastructure with Oracle Enterprise Manager. Below is one of the Oracle Enterprise Management Product Management Team,  Mark McGill, Oracle Principal Product Manager, presenting to Partners on how you can perform Chargeback and Metering with Oracle Enterprise Manager 12c Cloud Control. Overall, it was a great event and an extra thank you to those OPN Specialized Partners who presented, to the Partners that attended, and to those Oracle team members who organized the event and presented.

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  • View and Flip Between Firefox Tabs in 3D

    - by Asian Angel
    Are you tired of the default tab switching style in Firefox? Then get ready to enjoy a more visually pleasing 3D experience with the FoxTab extension. Using FoxTab As soon as you have the extension installed, you will see a new toolbar button available beside the address bar. Before going further you may want to look through the viewing styles available in the lower right corner. Note: You can choose to have the FoxTab button appear in the status bar if preferred or use the keyboard (i.e. F12) by itself to launch FoxTab. The grid view with an angled 3D setting. The page flow view with a more frontal look. If the default background color is not to your liking then you can easily change to a new color or insert a background image. After choosing a new background color, making a few adjustments in the options, and opening more tabs things look very nice using the grid viewing style. Followed by the carousel viewing style. And finally the wall viewing style. You can also set up a top sites page using your favorite viewing style. To add a page to the top sites group right click within the webpage and select Add To Top Sites. Just like that your new selection is added in. Keep in mind that we were not able to move/switch positions in the grid during our tests. Options The extension has plenty of options and settings to help you customize FoxTab to your liking. Conclusion FoxTab adds visually pleasing 3D tab switching to Firefox for anyone who loves eye candy and a touch of fun while browsing. Links Download the FoxTab extension (Mozilla Add-ons) Visit the FoxTab Homepage Similar Articles Productive Geek Tips You Really Want to Completely Disable Tabs in Firefox?Quick Hits: 11 Firefox Tab How-TosQuick Tip: Save Windows and Tabs When Restarting FirefoxMake Firefox Use Multiple Rows of TabsQuick Tip: Use Tab Characters in Textarea Boxes in Firefox 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 Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 2010 World Cup Schedule Boot Snooze – Reboot and then Standby or Hibernate Customize Everything Related to Dates, Times, Currency and Measurement in Windows 7 Google Earth replacement Icon (Icons we like) Build Great Charts in Excel with Chart Advisor tinysong gives a shortened URL for you to post on Twitter (or anywhere)

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  • ASP.Net MVC - how to post values to the server that are not in an input element

    - by David Carter
    Problem As was mentioned in a previous blog I am building a web page that allows the user to select dates in a calendar and then shows the dates in an unordered list. The problem now is that those dates need to be sent to the server on page submit so that they can be saved to the database. If I was storing the dates in an input element, say a textbox, that wouldn't be an issue but because they are in an html element whose contents are not posted to the server an alternative strategy needs to be developed. Solution The approach that I took to solve this problem is as follows: 1. Place a hidden input field on the form <input id="hiddenDates" name="hiddenDates" type="hidden" value="" /> ASP.Net MVC has an Html helper with a method called Hidden() that will do this for you @Html.Hidden("hiddenDates"). 2. Copy the values from the html element to the hidden input field before submitting the form The following javascript is added to the page:        $(function () {          $('#formCreate').submit(function () {               PopulateHiddenDates();          });        });            function PopulateHiddenDates() {          var dateValues = '';          $($('#dateList').children('li')).each(function(index) {             dateValues += $(this).attr("id") + ",";          });          $('#hiddenDates').val(dateValues);        } I'm using jQuery to bind to the form submit event so that my method to populate the hidden field gets called before the form is submitted. The dateList element is an unordered list and by using the jQuery each function I can itterate through all the <li> items that it contains, get each items id attribute (to which I have assigned the value of the date in millisecs) and write them to the hidden field as a comma delimited string. 3. Process the dates on the server        [HttpPost]         public ActionResult Create(string hiddenDates, string utcOffset)         {            List<DateTime> dates = GetDates(hiddenDates, utcOffset);         }         private List<DateTime> GetDates(string hiddenDates, int utcOffset)         {             List<DateTime> dates = new List<DateTime>();             var values = hiddenDates.Split(",".ToCharArray(),StringSplitOptions.RemoveEmptyEntries);             foreach (var item in values)             {                 DateTime newDate = new DateTime(1970, 1, 1).AddMilliseconds(double.Parse(item)).AddMinutes(utcOffset*-1);                 dates.Add(newDate);                }             return dates;         } By declaring a parameter with the same name as the hidden field ASP.Net will take care of finding the corresponding entry in the form collection posted back to the server and binding it to the hiddenDates parameter! Excellent! I now have my dates the user selected and I can save them to the database. I have also used the same technique to pass back a utcOffset so that I know what timezone the user is in and I can show the dates correctly to users in other timezones if necessary (this isn't strictly necessary at the moment but I plan to introduce times later), Saving multiple dates from an unordered list - DONE!

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  • Executable Resumes

    - by Liam McLennan
    Over the past twelve months I have been thinking a lot about executable specifications. Long considered the holy grail of agile software development, executable specifications means expressing a program’s functionality in a way that is both readable by the customer and computer verifiable in an automatic, repeatable way. With the current generation of BDD and ATDD tools executable specifications seem finally within the reach of a significant percentage of the development community. Lately, and partly as a result of my craftsmanship tour, I have decided that soon I am going to have to get a job (gasp!). As Dave Hoover describes in Apprenticeship Patters, “you … have mentors and kindred spirits that you meet with periodically, [but] when it comes to developing software, you work alone.” The time may have come where the only way for me to feel satisfied and enriched by my work is to seek out a work environment where I can work with people smarter and more knowledgeable than myself. Having been on both sides of the interview desk many times I know how difficult and unreliable the process can be. Therefore, I am proposing the idea of executable resumes. As a journeyman programmer looking for a fruitful work environment I plan to write an application that demonstrates my understanding of the state of the art. Potential employers can download, view and execute my executable resume and judge wether my aesthetic sensibility matches their own. The concept of the executable resume is based upon the following assertion: A line of code answers a thousand interview questions Asking people about their experiences and skills is not a direct way of assessing their value to your organisation. Often it simple assesses their ability to mislead an interviewer. An executable resume demonstrates: The highest quality code that the person is able to produce. That the person is sufficiently motivated to produce something of value in their own time. That the person loves their craft. The idea of publishing a program to demonstrate a developer’s skills comes from Rob Conery, who suggested that each developer should build their own blog engine since it is the public representation of their level of mastery. Rob said: Luke had to build his own lightsaber – geeks should have to build their own blogs. And that should be their resume. In honour of Rob’s inspiration I plan to build a blog engine as my executable resume. While it is true that the world does not need another blog engine it is as good a project as any, it is a well understood domain, and I have not found an existing blog engine that I like. Executable resumes fit well with the software craftsmanship metaphor. It is not difficult to imagine that under the guild system master craftsmen may have accepted journeymen based on the quality of the work they had produced in the past. We now understand that when it comes to the functionality of an application that code is the final arbiter. Why not apply the same rule to hiring?

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  • A Technique for Performing Cross-host Upgrades to FMW 11gR1

    - by reza.shafii
    The main tool used for the upgrade of iAS 10g mid-tier (data not stored in 10g meta-data repository schemas) environments to Fusion Middleware (FMW) 11gR1 is the FMW Upgrade Assistant (UA). This tool performs what we call an out-of-place upgrade which in a nut-shell means the following: Upgrade is performed by pointing the UA to a 10g source topology as well as an 11g destination topology. The destination topology must be created, using the standard FMW 11g installation and configuration process, prior to the execution of the UA. The UA carries over all of the required changes from the source environment to the destination. This approach has a number of advantages rooted in the fact that the source environment - which is presumably working well and serving its needs - is not disturbed during the upgrade process as the UA only performs read-only operations on it. The UA today can only perform such out-of-place upgrades when the source and destination topologies reside on the same machine. This can sometimes be an issue when the host on which the iAS 10g environment is installed is running at full capacity and installing new hardware for the purpose of the upgrade (in most cases what would be needed is extra memory) is completely infeasible. In such cases, upgrade across a different host is still possible by using the following technique: Backup your source environment and restore it on to a target machine. The backup and restore procedures for the iAS 10.1.2 components are described within this section of the release's Administration Guide. As described in the docs, the Oracle Application Server Backup and Recovery Tool provides capabilities for backing up the installation on one machine and restoring it on another which is exactly what you want to do for the purpose of cross host upgrade. Ensure that the restored environment on your target host is fully functional. Go through the upgrade steps on the target machine to perform the out-of-place upgrade using the UA. Although this process does add another big step to the overall upgrade process, it does make it possible to perform a cross-host upgrade to 11gR1 when necessary. The easiest approach would of course be to find a way of ensuring that the required hardware capacity for upgrade is available on the original 10g host. Using techniques such as scheduling the upgrade at low traffic times and/or temporarily stopping other processes running on the machine to clear up some memory might provide you the sufficient memory needed to perform the out-of-place upgrade and save you the need for using the backup/restore technique I have described in this post.

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  • How do I keep my Huawei E3131 3G modem from unmounting?

    - by John Perez
    I need help getting my Huawei E3131 modem to (consistently) work. I am currently running Ubuntu 12.04.2 and 3G dongles have worked many times before. However, my newly acquired Huawei E3131 is causing problems. When plugged in, Ubuntu detects the device as a CD-ROM and a modem. I can browse the dongle's contents using Nautilus and Network Manager is able to configure and work the dongle out-of-the-box. I can even get to surf. However, within minutes, the connection drops and the CD-ROM is unmounted. I wait about 15 seconds, then the CD-ROM mounts again and Network Manager is able to connect again with short-lived surfing. Rinse, lather and repeat. It's strange that the device mounts as a CD-ROM, but works as a modem, too, suggesting that mode switching happens somewhere. It's not a signal coverage problem, either because I tested the same SIM card using 3 other different dongles (2 ZTEs and another Huawei) and it is only this E3131 that has this problem. If pertinent, the other dongles weren't being detected as CD-ROMs. Output of lsusb Bus 001 Device 002: ID 8087:0020 Intel Corp. Integrated Rate Matching Hub Bus 002 Device 002: ID 8087:0020 Intel Corp. Integrated Rate Matching Hub Bus 001 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 002 Device 001: ID 1d6b:0002 Linux Foundation 2.0 root hub Bus 001 Device 003: ID 0ac8:c342 Z-Star Microelectronics Corp. Bus 001 Device 010: ID 12d1:1506 Huawei Technologies Co., Ltd. E398 LTE/UMTS/GSM Modem/Networkcard Bus 001 Device 004: ID 0a5c:219b Broadcom Corp. Bluetooth 2.1 Device I tried installing the drivers found here, but no fish. Furthermore, my device is an E3131, but lsusb for some reason detects it as an E398. I'm not sure how that plays a role for this problem, though. I hope someone out there can help me. I'm out of ideas already. Thank you very much!

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  • .NET to iOS: From WinForms to the iPad

    - by RobertChipperfield
    One of the great things about working at Red Gate is getting to play with new technology - and right now, that means mobile. A few weeks ago, we decided that a little research into the tablet computing arena was due, and purely from a numbers point of view, that suggested the iPad as a good target device. A quick trip to iPhoneDevCon in San Diego later, and Marine and I came back full of ideas, and with some concept of how iOS development was meant to work. Here's how we went from there to the release of Stacks & Heaps, our geeky take on the classic "Snakes & Ladders" game. Step 1: Buy a Mac I've played with many operating systems in my time: from the original BBC Model B, through DOS, Windows, Linux, and others, but I'd so far managed to avoid buying fruit-flavoured computer hardware! If you want to develop for the iPhone, iPad or iPod Touch, that's the first thing that needs to change. If you've not used OS X before, the first thing you'll realise is that everything is different! In the interests of avoiding a flame war in the comments section, I'll only go so far as to say that a lot of my Windows-flavoured muscle memory no longer worked. If you're in the UK, you'll also realise your keyboard is lacking a # key, and that " and @ are the other way around from normal. The wonderful Ukelele keyboard layout editor restores some sanity here, as long as you don't look at the keyboard when you're typing. I couldn't give up the PC entirely, but a handy application called Synergy comes to the rescue - it lets you share a single keyboard and mouse between multiple machines. There's a few limitations: Alt-Tab always seems to go to the Mac, and Windows 7's UAC dialogs require the local mouse for security reasons, but it gets you a long way at least. Step 2: Register as an Apple Developer You can register as an Apple Developer free of charge, and that lets you download XCode and the iOS SDK. You also get the iPhone / iPad emulator, which is handy, since you'll need to be a paid member before you can deploy your apps to a real device. You can either enroll as an individual, or as a company. They both cost the same ($99/year), but there's a few differences between them. If you register as a company, you can add multiple developers to your team (all for the same $99 - not $99 per developer), and you get to use your company name in the App Store. However, you'll need to send off significantly more documentation to Apple, and I suspect the process takes rather longer than for an individual, where they just need to verify some credit card details. Here's a tip: if you're registering as a company, do so as early as possible. The approval process can take a while to complete, so get the application in in plenty of time. Step 3: Learn to love the square brackets! Objective-C is the language of the iPad. C and C++ are also supported, and if you're doing some serious game development, you'll probably spend most of your time in C++ talking OpenGL, but for forms-based apps, you'll be interacting with a lot of the Objective-C SDK. Like shifting from Ctrl-C to Cmd-C, it feels a little odd at first, with the familiar string.format(.) turning into: NSString *myString = [NSString stringWithFormat:@"Hello world, it's %@", [NSDate date]]; Thankfully XCode's auto-complete is normally passable, if not up to Visual Studio's standards, which coupled with a huge amount of content on Stack Overflow means you'll soon get to grips with the API. You'll need to get used to some terminology changes, though; here's an incomplete approximation: Coming from a .NET background, there's some luxuries you no longer have developing Objective C in XCode: Generics! Remember back in .NET 1.1, when all collections were just objects? Yup, we're back there now. ReSharper. Or, more generally, very much refactoring support. The not-many-keystrokes to rename a class, its file, and al references to it in Visual Studio turns into a much more painful experience in XCode. Garbage collection. This is actually rather less of an issue than you might expect: if you follow the rules, the reference counting provided by Objective C gets you a long way without too much pain. Circular references are their usual problematic self, though. Decent exception handling. You do have exceptions, but they're nowhere near as widely used. Generally, if something goes wrong, you get nil (see translation table above) back. Which brings me on to. Calling a method on a nil object isn't a failure - it just returns nil itself! There's many arguments for and against this, but personally I fall into the "stuff should fail as quickly and explicitly as possible" camp. Less specifically, I found that there's more chance of code failing at runtime rather than getting caught at compile-time: using the @selector(.) syntax to pass a method signature isn't (can't be) checked at compile-time, so the first you know about a typo is a crash when you try and call it. The solution to this is of course lots of great testing, both automated and manual, but I still find comfort in provably correct type safety being enforced in addition to testing. Step 4: Submit to the App Store Assuming you want to distribute to more than a handful of devices, you're going to need to submit your app to the Apple App Store. There's a few gotchas in terms of getting builds signed with the right certificates, and you'll be bouncing around between XCode and iTunes Connect a fair bit, but eventually you get everything checked off the to-do list, and are ready to upload your first binary! With some amount of anticipation, I pressed the Upload button in XCode, ready to release our creation into the world, but was instead greeted by an error informing me my XML file was malformed. Uh. A little Googling later, and it turned out that a simple rename from "Stacks&Heaps.app" to "StacksAndHeaps.app" worked around an XML escaping bug, and we were good to go. The next step is to wait for approval (or otherwise). After a couple of weeks of intensive development, this part is agonising. Did we make it? The Apple jury is still out at the moment, but our fingers are firmly crossed! In the meantime, you can see some screenshots and leave us your email address if you'd like us to get in touch when it does go live at the MobileFoo website. Step 5: Profit! Actually, that wasn't the idea here: Stacks & Heaps is free; there's no adverts, and we're not going to sell all your data either. So why did we do it? We wanted to get an idea of what it's like to move from coding for a desktop environment, to something completely different. We don't know whether in a year's time, the iPad will still be the dominant force, or whether Android will have smoothed out some bugs, tweaked the performance, and polished the UI, but I think it's a fairly sure bet that the tablet form factor is here to stay. We want to meet people who are using it, start chatting to them, and find out about some of the pain they're feeling. What better way to do that than do it ourselves, and get to write a cool game in the process?

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  • Ghost team foundation build controllers

    - by Martin Hinshelwood
    Quite often after an upgrade there are things left over. Most of the time they are easy to delete, but sometimes it takes a little effort. Even rarer are those times when something just will not go away no matter how much you try. We have had a ghost team build controller hanging around for a while now, and it had defeated my best efforts to get rid of it. The build controller was from our old TFS server from before our TFS 2010 beta 2 upgrade and was really starting to annoy me. Every time I try to delete it I get the message: Controller cannot be deleted because there are build in progress -Manage Build Controller dialog   Figure: Deleting a ghost controller does not always work. I ended up checking all of our 172 Team Projects for the build that was queued, but did not find anything. Jim Lamb pointed me to the “tbl_BuildQueue” table in the team Project Collection database and sure enough there was the nasty little beggar. Figure: The ghost build was easily spotted Adam Cogan asked me: “Why did you suspect this one?” Well, there are a number of things that led me to suspect it: QueueId is very low: Look at the other items, they are in the thousands not single digits ControllerId: I know there is only one legitimate controller, and I am assuming that 6 relates to “zzUnicorn” DefinitionId: This is a very low number and I looked it up in “tbl_BuildDefinition” and it did not exist QueueTime: As we did not upgrade to TFS 2010 until late 2009 a date of 2008 for a queued build is very suspect Status: A status of 2 means that it is still queued This build must have been queued long ago when we were using TFS 2008, probably a beta, and it never got cleaned up. As controllers are new in TFS 2010 it would have created the “zzUnicorn” controller to handle any build servers that already exist. I had previously deleted the Agent, but leaving the controller just looks untidy. Now that the ghost build has been identified there are two options: Delete the row I would not recommend ever deleting anything from the database to achieve something in TFS. It is really not supported. Set the Status to cancelled (Recommended) This is the best option as TFS will then clean it up itself So I set the Status of this build to 2 (cancelled) and sure enough it disappeared after a couple of minutes and I was then able to then delete the “zzUnicorn” controller. Figure: Almost completely clean Now all I have to do is get rid of that untidy “zzBunyip” agent, but that will require rewriting one of our build scripts which will have to wait for now.   Technorati Tags: ALM,TFBS,TFS 2010

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  • Using TPL and PLINQ to raise performance of feed aggregator

    - by DigiMortal
    In this posting I will show you how to use Task Parallel Library (TPL) and PLINQ features to boost performance of simple RSS-feed aggregator. I will use here only very basic .NET classes that almost every developer starts from when learning parallel programming. Of course, we will also measure how every optimization affects performance of feed aggregator. Feed aggregator Our feed aggregator works as follows: Load list of blogs Download RSS-feed Parse feed XML Add new posts to database Our feed aggregator is run by task scheduler after every 15 minutes by example. We will start our journey with serial implementation of feed aggregator. Second step is to use task parallelism and parallelize feeds downloading and parsing. And our last step is to use data parallelism to parallelize database operations. We will use Stopwatch class to measure how much time it takes for aggregator to download and insert all posts from all registered blogs. After every run we empty posts table in database. Serial aggregation Before doing parallel stuff let’s take a look at serial implementation of feed aggregator. All tasks happen one after other. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();           for (var index = 0; index <blogs.Count; index++)         {              ImportFeed(blogs[index]);         }     }       private void ImportFeed(BlogDto blog)     {         if(blog == null)             return;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                 }       private void ImportRssFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = RssFeed.Create(uri);           foreach (var item in feed.Channel.Items)         {             SaveRssFeedItem(item, blog.Id, blog.CreatedById);         }     }       private void ImportAtomFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           foreach (var item in feed.Entries)         {             SaveAtomFeedEntry(item, blog.Id, blog.CreatedById);         }     } } Serial implementation of feed aggregator downloads and inserts all posts with 25.46 seconds. Task parallelism Task parallelism means that separate tasks are run in parallel. You can find out more about task parallelism from MSDN page Task Parallelism (Task Parallel Library) and Wikipedia page Task parallelism. Although finding parts of code that can run safely in parallel without synchronization issues is not easy task we are lucky this time. Feeds import and parsing is perfect candidate for parallel tasks. We can safely parallelize feeds import because importing tasks doesn’t share any resources and therefore they don’t also need any synchronization. After getting the list of blogs we iterate through the collection and start new TPL task for each blog feed aggregation. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();                var tasks = new Task[blogs.Count];           for (var index = 0; index <blogs.Count; index++)         {             tasks[index] = new Task(ImportFeed, blogs[index]);             tasks[index].Start();         }           Task.WaitAll(tasks);     }       private void ImportFeed(object blogObject)     {         if(blogObject == null)             return;         var blog = (BlogDto)blogObject;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                }       private void ImportRssFeed(BlogDto blog)     {          var uri = new Uri(blog.RssUrl);          var feed = RssFeed.Create(uri);           foreach (var item in feed.Channel.Items)          {              SaveRssFeedItem(item, blog.Id, blog.CreatedById);          }     }     private void ImportAtomFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           foreach (var item in feed.Entries)         {             SaveAtomFeedEntry(item, blog.Id, blog.CreatedById);         }     } } You should notice first signs of the power of TPL. We made only minor changes to our code to parallelize blog feeds aggregating. On my machine this modification gives some performance boost – time is now 17.57 seconds. Data parallelism There is one more way how to parallelize activities. Previous section introduced task or operation based parallelism, this section introduces data based parallelism. By MSDN page Data Parallelism (Task Parallel Library) data parallelism refers to scenario in which the same operation is performed concurrently on elements in a source collection or array. In our code we have independent collections we can process in parallel – imported feed entries. As checking for feed entry existence and inserting it if it is missing from database doesn’t affect other entries the imported feed entries collection is ideal candidate for parallelization. internal class FeedClient {     private readonly INewsService _newsService;     private const int FeedItemContentMaxLength = 255;       public FeedClient()     {          ObjectFactory.Initialize(container =>          {              container.PullConfigurationFromAppConfig = true;          });           _newsService = ObjectFactory.GetInstance<INewsService>();     }       public void Execute()     {         var blogs = _newsService.ListPublishedBlogs();                var tasks = new Task[blogs.Count];           for (var index = 0; index <blogs.Count; index++)         {             tasks[index] = new Task(ImportFeed, blogs[index]);             tasks[index].Start();         }           Task.WaitAll(tasks);     }       private void ImportFeed(object blogObject)     {         if(blogObject == null)             return;         var blog = (BlogDto)blogObject;         if (string.IsNullOrEmpty(blog.RssUrl))             return;           var uri = new Uri(blog.RssUrl);         SyndicationContentFormat feedFormat;           feedFormat = SyndicationDiscoveryUtility.SyndicationContentFormatGet(uri);           if (feedFormat == SyndicationContentFormat.Rss)             ImportRssFeed(blog);         if (feedFormat == SyndicationContentFormat.Atom)             ImportAtomFeed(blog);                }       private void ImportRssFeed(BlogDto blog)     {         var uri = new Uri(blog.RssUrl);         var feed = RssFeed.Create(uri);           feed.Channel.Items.AsParallel().ForAll(a =>         {             SaveRssFeedItem(a, blog.Id, blog.CreatedById);         });      }        private void ImportAtomFeed(BlogDto blog)      {         var uri = new Uri(blog.RssUrl);         var feed = AtomFeed.Create(uri);           feed.Entries.AsParallel().ForAll(a =>         {              SaveAtomFeedEntry(a, blog.Id, blog.CreatedById);         });      } } We did small change again and as the result we parallelized checking and saving of feed items. This change was data centric as we applied same operation to all elements in collection. On my machine I got better performance again. Time is now 11.22 seconds. Results Let’s visualize our measurement results (numbers are given in seconds). As we can see then with task parallelism feed aggregation takes about 25% less time than in original case. When adding data parallelism to task parallelism our aggregation takes about 2.3 times less time than in original case. More about TPL and PLINQ Adding parallelism to your application can be very challenging task. You have to carefully find out parts of your code where you can safely go to parallel processing and even then you have to measure the effects of parallel processing to find out if parallel code performs better. If you are not careful then troubles you will face later are worse than ones you have seen before (imagine error that occurs by average only once per 10000 code runs). Parallel programming is something that is hard to ignore. Effective programs are able to use multiple cores of processors. Using TPL you can also set degree of parallelism so your application doesn’t use all computing cores and leaves one or more of them free for host system and other processes. And there are many more things in TPL that make it easier for you to start and go on with parallel programming. In next major version all .NET languages will have built-in support for parallel programming. There will be also new language constructs that support parallel programming. Currently you can download Visual Studio Async to get some idea about what is coming. Conclusion Parallel programming is very challenging but good tools offered by Visual Studio and .NET Framework make it way easier for us. In this posting we started with feed aggregator that imports feed items on serial mode. With two steps we parallelized feed importing and entries inserting gaining 2.3 times raise in performance. Although this number is specific to my test environment it shows clearly that parallel programming may raise the performance of your application significantly.

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  • on coding style

    - by user12607414
    I vastly prefer coding to discussing coding style, just as I would prefer to write poetry instead of talking about how it should be written. Sometimes the topic cannot be put off, either because some individual coder is messing up a shared code base and needs to be corrected, or (worse) because some officious soul has decided, "what we really need around here are some strongly enforced style rules!" Neither is the case at the moment, and yet I will venture a post on the subject. The following are not rules, but suggested etiquette. The idea is to allow a coherent style of coding to flourish safely and sanely, as a humane, inductive, social process. Maxim M1: Observe, respect, and imitate the largest-scale precedents available. (Preserve styles of whitespace, capitalization, punctuation, abbreviation, name choice, code block size, factorization, type of comments, class organization, file naming, etc., etc., etc.) Maxim M2: Don't add weight to small-scale variations. (Realize that Maxim M1 has been broken many times, but don't take that as license to create further irregularities.) Maxim M3: Listen to and rely on your reviewers to help you perceive your own coding quirks. (When you review, help the coder do this.) Maxim M4: When you touch some code, try to leave it more readable than you found it. (When you review such changes, thank the coder for the cleanup. When you plan changes, plan for cleanups.) On the Hotspot project, which is almost 1.5 decades old, we have often practiced and benefited from such etiquette. The process is, and should be, inductive, not prescriptive. An ounce of neighborliness is better than a pound of police-work. Reality check: If you actually look at (or live in) the Hotspot code base, you will find we have accumulated many annoying irregularities in our source base. I suppose this is the normal condition of a lived-in space. Unless you want to spend all your time polishing and tidying, you can't live without some smudge and clutter, can you? Final digression: Grammars and dictionaries and other prescriptive rule books are sometimes useful, but we humans learn and maintain our language by example not grammar. The same applies to style rules. Actually, I think the process of maintaining a clean and pleasant working code base is an instance of a community maintaining its common linguistic identity. BTW, I've been reading and listening to John McWhorter lately with great pleasure. (If you end with a digression, is it a tail-digression?)

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  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

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  • Writing the tests for FluentPath

    - by Bertrand Le Roy
    Writing the tests for FluentPath is a challenge. The library is a wrapper around a legacy API (System.IO) that wasn’t designed to be easily testable. If it were more testable, the sensible testing methodology would be to tell System.IO to act against a mock file system, which would enable me to verify that my code is doing the expected file system operations without having to manipulate the actual, physical file system: what we are testing here is FluentPath, not System.IO. Unfortunately, that is not an option as nothing in System.IO enables us to plug a mock file system in. As a consequence, we are left with few options. A few people have suggested me to abstract my calls to System.IO away so that I could tell FluentPath – not System.IO – to use a mock instead of the real thing. That in turn is getting a little silly: FluentPath already is a thin abstraction around System.IO, so layering another abstraction between them would double the test surface while bringing little or no value. I would have to test that new abstraction layer, and that would bring us back to square one. Unless I’m missing something, the only option I have here is to bite the bullet and test against the real file system. Of course, the tests that do that can hardly be called unit tests. They are more integration tests as they don’t only test bits of my code. They really test the successful integration of my code with the underlying System.IO. In order to write such tests, the techniques of BDD work particularly well as they enable you to express scenarios in natural language, from which test code is generated. Integration tests are being better expressed as scenarios orchestrating a few basic behaviors, so this is a nice fit. The Orchard team has been successfully using SpecFlow for integration tests for a while and I thought it was pretty cool so that’s what I decided to use. Consider for example the following scenario: Scenario: Change extension Given a clean test directory When I change the extension of bar\notes.txt to foo Then bar\notes.txt should not exist And bar\notes.foo should exist This is human readable and tells you everything you need to know about what you’re testing, but it is also executable code. What happens when SpecFlow compiles this scenario is that it executes a bunch of regular expressions that identify the known Given (set-up phases), When (actions) and Then (result assertions) to identify the code to run, which is then translated into calls into the appropriate methods. Nothing magical. Here is the code generated by SpecFlow: [NUnit.Framework.TestAttribute()] [NUnit.Framework.DescriptionAttribute("Change extension")] public virtual void ChangeExtension() { TechTalk.SpecFlow.ScenarioInfo scenarioInfo = new TechTalk.SpecFlow.ScenarioInfo("Change extension", ((string[])(null))); #line 6 this.ScenarioSetup(scenarioInfo); #line 7 testRunner.Given("a clean test directory"); #line 8 testRunner.When("I change the extension of " + "bar\\notes.txt to foo"); #line 9 testRunner.Then("bar\\notes.txt should not exist"); #line 10 testRunner.And("bar\\notes.foo should exist"); #line hidden testRunner.CollectScenarioErrors();} The #line directives are there to give clues to the debugger, because yes, you can put breakpoints into a scenario: The way you usually write tests with SpecFlow is that you write the scenario first, let it fail, then write the translation of your Given, When and Then into code if they don’t already exist, which results in running but failing tests, and then you write the code to make your tests pass (you implement the scenario). In the case of FluentPath, I built a simple Given method that builds a simple file hierarchy in a temporary directory that all scenarios are going to work with: [Given("a clean test directory")] public void GivenACleanDirectory() { _path = new Path(SystemIO.Path.GetTempPath()) .CreateSubDirectory("FluentPathSpecs") .MakeCurrent(); _path.GetFileSystemEntries() .Delete(true); _path.CreateFile("foo.txt", "This is a text file named foo."); var bar = _path.CreateSubDirectory("bar"); bar.CreateFile("baz.txt", "bar baz") .SetLastWriteTime(DateTime.Now.AddSeconds(-2)); bar.CreateFile("notes.txt", "This is a text file containing notes."); var barbar = bar.CreateSubDirectory("bar"); barbar.CreateFile("deep.txt", "Deep thoughts"); var sub = _path.CreateSubDirectory("sub"); sub.CreateSubDirectory("subsub"); sub.CreateFile("baz.txt", "sub baz") .SetLastWriteTime(DateTime.Now); sub.CreateFile("binary.bin", new byte[] {0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0xFF}); } Then, to implement the scenario that you can read above, I had to write the following When: [When("I change the extension of (.*) to (.*)")] public void WhenIChangeTheExtension( string path, string newExtension) { var oldPath = Path.Current.Combine(path.Split('\\')); oldPath.Move(p => p.ChangeExtension(newExtension)); } As you can see, the When attribute is specifying the regular expression that will enable the SpecFlow engine to recognize what When method to call and also how to map its parameters. For our scenario, “bar\notes.txt” will get mapped to the path parameter, and “foo” to the newExtension parameter. And of course, the code that verifies the assumptions of the scenario: [Then("(.*) should exist")] public void ThenEntryShouldExist(string path) { Assert.IsTrue(_path.Combine(path.Split('\\')).Exists); } [Then("(.*) should not exist")] public void ThenEntryShouldNotExist(string path) { Assert.IsFalse(_path.Combine(path.Split('\\')).Exists); } These steps should be written with reusability in mind. They are building blocks for your scenarios, not implementation of a specific scenario. Think small and fine-grained. In the case of the above steps, I could reuse each of those steps in other scenarios. Those tests are easy to write and easier to read, which means that they also constitute a form of documentation. Oh, and SpecFlow is just one way to do this. Rob wrote a long time ago about this sort of thing (but using a different framework) and I highly recommend this post if I somehow managed to pique your interest: http://blog.wekeroad.com/blog/make-bdd-your-bff-2/ And this screencast (Rob always makes excellent screencasts): http://blog.wekeroad.com/mvc-storefront/kona-3/ (click the “Download it here” link)

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  • ath9k driver does not weak up

    - by shantanu
    I know this is common question but i found no suitable answer, so i am asking this again. I installed ubuntu 11.10. I found the bug for ath9k, so set first network boot from BIOS menu. That's worked. I have upgraded to 12.04 yesterday. Now ath9k is creating problem again. First network boot is still enable. ath9k works at start. But failed(connect again and again) after couple of minutes. dmesg show error that it can not weak up in 500us. So i tried #compat-wireless-3.5.1-1. But result is same. I have also added #nohwcrypt=1 option in /etc/modeprob.d/ath9k.conf. Still no luck. I tried #rmmod and then modprobe sudo modprobe ath9k nohwcrypt=1 dmesg shows me error: [ 400.690086] ath9k: Driver unloaded [ 406.214329] ath9k 0000:06:00.0: enabling device (0000 -> 0002) [ 406.214348] ath9k 0000:06:00.0: PCI INT A -> GSI 17 (level, low) -> IRQ 17 [ 406.214368] ath9k 0000:06:00.0: setting latency timer to 64 [ 406.428517] ath9k 0000:06:00.0: Failed to initialize device [ 406.428852] ath9k 0000:06:00.0: PCI INT A disabled [ 406.428887] ath9k: probe of 0000:06:00.0 failed with error -5 dmesg error when driver fail: 355.023521] ath: Chip reset failed [ 355.023524] ath: Unable to reset channel, reset status -22 [ 355.023556] ath: Unable to set channel [ 355.088569] ath: Failed to stop TX DMA, queues=0x10f! [ 355.122708] ath: DMA failed to stop in 10 ms AR_CR=0xffffffff AR_DIAG_SW=0xffffffff DMADBG_7=0xffffffff [ 355.122714] ath: Could not stop RX, we could be confusing the DMA engine when we start RX up [ 355.263962] ath: Chip reset failed [ 355.263966] ath: Unable to reset channel (2437 MHz), reset status -22 [ 358.996063] ath: Failed to wakeup in 500us [ 364.004182] ath: Failed to wakeup in 500us I can not install fresh ubuntu because i have lots of application installed. System : Acer Aspire 4250 AMD dual core 1.6GHZ Atheros Communications Inc. AR9485 Wireless Network Adapter (rev 01) EDITED Now i am in serious problem. No wifi device is not showing in ifconfig or lshw commands. Only ether-net interface shows. I tried (FN + WIFI) several times to enable the device but nothing helps. Now I have installed fresh ubuntu 12.04. Please help lshw -c network: *-network description: Ethernet interface product: 82566DC Gigabit Network Connection vendor: Intel Corporation physical id: 19 bus info: pci@0000:00:19.0 logical name: eth0 version: 02 serial: 00:19:d1:7a:8e:f9 size: 100Mbit/s capacity: 1Gbit/s width: 32 bits clock: 33MHz capabilities: pm msi bus_master cap_list ethernet physical tp 10bt 10bt-fd 100bt 100bt-fd 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=e1000e driverversion=2.0.0-k duplex=full firmware=1.1-0 ip=192.168.1.114 latency=0 link=yes multicast=yes port=twisted pair speed=100Mbit/s resources: irq:45 memory:90300000-9031ffff memory:90324000-90324fff ioport:20c0(size=32) rfkill command does not show anything but no error.

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  • Can you Trust Search?

    - by David Dorf
    An awful lot of referrals to e-commerce sites come from web searches. Retailers rely on search engine optimization (SEO) to correctly position their website so they can be found. Search on "blue jeans" and the results are determined by a semi-secret algorithm -- in my case Levi.com, Banana Republic, and ShopStyle show up. The NY Times recently uncovered a situation where JCPenney, via third-parties hired to help with SEO, was caught manipulating search results so they were erroneously higher in page rankings. No doubt this helped drive additional sales during this part Christmas. The article, The Dirty Little Secrets of Search, is well worth reading. My friend Ron Kleinman started an interesting discussion at the ARTS Linkedin forum. He posed the question: The ability of a single company to "punish" any retailer (by significantly impacting their on-line sales volume) who does not play by their rules ... is this a good thing or a bad thing? Clearly JCP was in the wrong and needed to be punished, but should that decision lie with Google alone? Don't get me wrong -- I'm certainly not advocating we create a Department of Search where bureaucrats think of ways to spend money, but Google wields an awful lot of power in this situation, and it makes me feel uncomfortable. Now Google is incorporating more social aspects into their search results. For example, when Google knows its me (i.e. I'm logged in when using Google) search results will be influenced by my Twitter network. In an effort to increase relevance, the blogs and re-tweeted articles from my network will be higher in the search results than they otherwise would be. So in the case of product searches, things discussed in my network will rise to the top. Continuing my blue jean example, if someone in my network had been discussing Macy's perhaps they would now be higher in the result set. soapbox: I already have lots of spammers posting bogus comments to this blog in an effort to create additional links to their sites and thus increase their search ranking. Should I expect a similar situation in Twitter and eventually Facebook? Now retailers need to expand their SEO efforts to incorporate social media as well, but do us all a favor and please don't cheat.

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  • What is hogging my connection?

    - by SF.
    At times it seems like dozens, if not hundreds of root-owned HTTP connections spring up. This is not much of a problem on LAN or WLAN as each of them seems to transfer very little, but if I use GPRS link, my ping times go into minutes (seriously, 80000ms is not infrequent!) and all connections grind to a halt waiting till these end. This usually lasts some 15 minutes and ends about when I start troubleshooting it for real. I've managed to capture a fragment of Nethogs output NetHogs version 0.8.0 PID USER PROGRAM DEV SENT RECEIVED ? root 37.209.147.180:59854-141.101.114.59:80 0.013 0.000 KB/sec ? root 37.209.147.180:59853-141.101.114.59:80 0.000 0.000 KB/sec ? root 37.209.147.180:52804-173.194.70.95:80 0.000 0.000 KB/sec 1954 bw /home/bw/.dropbox-dist/dropbox ppp0 0.000 0.000 KB/sec ? root 37.209.147.180:59851-141.101.114.59:80 0.000 0.000 KB/sec ? root 37.209.147.180:59850-141.101.114.59:80 0.000 0.000 KB/sec ? root 37.209.147.180:52801-173.194.70.95:80 0.000 0.000 KB/sec 13301 bw /usr/lib/firefox/firefox ppp0 0.000 0.000 KB/sec ? root unknown TCP 0.000 0.000 KB/sec Unfortunately, it doesn't display the owning process of these. Does anyone recognize these addresses or is able to suggest how to troubleshoot it further or disable it? Is it some automatic update or something like that? EDIT: per request; netstat -n, for obvious reason that normal netstat won't ever launch as all DNS requests are hogged just the same. netstat -n Active Internet connections (w/o servers) Proto Recv-Q Send-Q Local Address Foreign Address State tcp 0 1 93.154.166.62:51314 198.252.206.16:80 FIN_WAIT1 tcp 0 1 37.209.147.180:44098 198.252.206.16:80 FIN_WAIT1 tcp 0 1 37.209.147.180:59855 141.101.114.59:80 FIN_WAIT1 tcp 1 0 192.168.43.224:38237 213.189.45.39:443 CLOSE_WAIT tcp 1 0 93.154.146.186:35167 75.101.152.29:80 CLOSE_WAIT tcp 1 0 192.168.43.224:32939 199.15.160.100:80 CLOSE_WAIT tcp 1 0 192.168.43.224:55619 63.245.217.207:443 CLOSE_WAIT tcp 1 0 93.154.146.186:60210 75.101.152.29:443 CLOSE_WAIT tcp 1 0 192.168.43.224:32944 199.15.160.100:80 CLOSE_WAIT tcp 0 1 37.209.147.180:52804 173.194.70.95:80 FIN_WAIT1 tcp 1 0 93.154.146.186:46606 23.21.151.181:80 CLOSE_WAIT tcp 1 0 93.154.146.186:52619 107.22.246.76:80 CLOSE_WAIT tcp 415 0 93.154.146.186:36156 82.112.106.104:80 CLOSE_WAIT tcp 1 0 93.154.146.186:50352 107.22.246.76:443 CLOSE_WAIT tcp 1 0 192.168.43.224:55000 213.189.45.44:443 CLOSE_WAIT tcp 0 1 37.209.147.180:59853 141.101.114.59:80 FIN_WAIT1 tcp 1 0 192.168.43.224:32937 199.15.160.100:80 CLOSE_WAIT tcp 1 0 192.168.43.224:56055 93.184.221.40:80 CLOSE_WAIT tcp 415 0 93.154.146.186:36155 82.112.106.104:80 CLOSE_WAIT tcp 0 1 37.209.147.180:44097 198.252.206.16:80 FIN_WAIT1 tcp 1 0 93.154.146.186:35166 75.101.152.29:80 CLOSE_WAIT tcp 1 0 192.168.43.224:32943 199.15.160.100:80 CLOSE_WAIT tcp 1 0 93.154.146.186:46607 23.21.151.181:80 CLOSE_WAIT tcp 1 0 93.154.146.186:36422 23.21.151.181:443 CLOSE_WAIT tcp 1 0 192.168.43.224:36081 93.184.220.148:80 CLOSE_WAIT tcp 1 0 192.168.43.224:44462 213.189.45.29:443 CLOSE_WAIT tcp 1 0 192.168.43.224:32938 199.15.160.100:80 CLOSE_WAIT tcp 1 0 93.154.146.186:36419 23.21.151.181:443 CLOSE_WAIT tcp 0 497 93.154.166.62:51313 198.252.206.16:80 FIN_WAIT1 tcp 0 1 37.209.147.180:59851 141.101.114.59:80 FIN_WAIT1 tcp 0 1 37.209.147.180:44095 198.252.206.16:80 FIN_WAIT1 tcp 1 0 93.154.146.186:46611 23.21.151.181:80 CLOSE_WAIT tcp 1 0 192.168.43.224:38236 213.189.45.39:443 CLOSE_WAIT tcp 0 171 37.209.147.180:45341 173.194.113.146:443 ESTABLISHED tcp 0 1 37.209.147.180:52801 173.194.70.95:80 FIN_WAIT1 tcp 1 0 192.168.43.224:36080 93.184.220.148:80 CLOSE_WAIT tcp 0 1 37.209.147.180:59856 141.101.114.59:80 FIN_WAIT1 tcp 0 1 37.209.147.180:44096 198.252.206.16:80 FIN_WAIT1 tcp 0 1 93.154.166.62:57471 108.160.162.49:80 FIN_WAIT1 tcp 0 1 37.209.147.180:59854 141.101.114.59:80 FIN_WAIT1 tcp 0 171 37.209.147.180:45340 173.194.113.146:443 ESTABLISHED tcp 0 168 37.209.147.180:45334 173.194.113.146:443 FIN_WAIT1 tcp 1 0 93.154.146.186:46609 23.21.151.181:80 CLOSE_WAIT tcp 0 1248 93.154.166.62:58270 64.251.23.59:443 FIN_WAIT1 tcp 0 1 37.209.147.180:59850 141.101.114.59:80 FIN_WAIT1 tcp 1 0 93.154.146.186:35181 75.101.152.29:80 CLOSE_WAIT tcp 232 0 93.154.172.168:46384 198.252.206.25:80 ESTABLISHED tcp 1 0 93.154.146.186:52618 107.22.246.76:80 CLOSE_WAIT tcp 1 0 93.154.172.168:36298 173.194.69.95:443 CLOSE_WAIT tcp 1 0 93.154.146.186:60209 75.101.152.29:443 CLOSE_WAIT tcp 0 168 37.209.147.180:45335 173.194.113.146:443 FIN_WAIT1 tcp 415 0 93.154.146.186:36157 82.112.106.104:80 CLOSE_WAIT tcp 1 0 192.168.43.224:36082 93.184.220.148:80 CLOSE_WAIT tcp 1 0 192.168.43.224:32942 199.15.160.100:80 CLOSE_WAIT tcp 1 0 93.154.146.186:50350 107.22.246.76:443 CLOSE_WAIT tcp 1 0 192.168.43.224:32941 199.15.160.100:80 CLOSE_WAIT tcp 0 534 37.209.147.180:44089 198.252.206.16:80 FIN_WAIT1 tcp 1 0 93.154.146.186:46608 23.21.151.181:80 CLOSE_WAIT tcp 1 0 93.154.146.186:46612 23.21.151.181:80 CLOSE_WAIT udp 0 0 37.209.147.180:49057 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:51631 193.41.112.18:53 ESTABLISHED udp 0 0 37.209.147.180:34827 193.41.112.18:53 ESTABLISHED udp 0 0 37.209.147.180:35908 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:44106 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:42184 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:54485 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:42216 193.41.112.18:53 ESTABLISHED udp 0 0 37.209.147.180:51961 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:48412 193.41.112.14:53 ESTABLISHED The interesting lines from ping got lost, but the summary over past few hours is: --- 8.8.8.8 ping statistics --- 107459 packets transmitted, 104376 received, +22 duplicates, 2% packet loss, time 195427362ms rtt min/avg/max/mdev = 24.822/528.132/90538.257/2519.263 ms, pipe 90 EDIT: Per request: Happened again, reboot didn't help but cleaned up all "hanging" processes. Currently netstat shows: bw@pony:/var/log$ netstat -n -t Active Internet connections (w/o servers) Proto Recv-Q Send-Q Local Address Foreign Address State tcp 0 0 93.154.188.68:42767 74.125.239.143:443 TIME_WAIT tcp 0 0 93.154.188.68:50270 173.194.69.189:443 ESTABLISHED tcp 0 0 93.154.188.68:45250 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:53488 173.194.32.198:80 ESTABLISHED tcp 0 0 93.154.188.68:53490 173.194.32.198:80 ESTABLISHED tcp 0 159 93.154.188.68:42741 74.125.239.143:443 LAST_ACK tcp 0 0 93.154.188.68:45808 198.252.206.25:80 ESTABLISHED tcp 0 0 93.154.188.68:52449 173.194.32.199:443 ESTABLISHED tcp 0 0 93.154.188.68:52600 173.194.32.199:443 TIME_WAIT tcp 0 0 93.154.188.68:50300 173.194.69.189:443 TIME_WAIT tcp 0 0 93.154.188.68:45253 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:46252 173.194.32.204:443 ESTABLISHED tcp 0 0 93.154.188.68:45246 190.93.244.58:80 ESTABLISHED tcp 0 0 93.154.188.68:47064 173.194.113.143:443 ESTABLISHED tcp 0 0 93.154.188.68:34484 173.194.69.95:443 ESTABLISHED tcp 0 0 93.154.188.68:45252 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:54290 173.194.32.202:443 ESTABLISHED tcp 0 0 93.154.188.68:47063 173.194.113.143:443 ESTABLISHED tcp 0 0 93.154.188.68:53469 173.194.32.198:80 TIME_WAIT tcp 0 0 93.154.188.68:45242 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:53468 173.194.32.198:80 ESTABLISHED tcp 0 0 93.154.188.68:50299 173.194.69.189:443 TIME_WAIT tcp 0 0 93.154.188.68:42764 74.125.239.143:443 TIME_WAIT tcp 0 0 93.154.188.68:45256 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:58047 108.160.162.105:80 ESTABLISHED tcp 0 0 93.154.188.68:45249 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:50297 173.194.69.189:443 TIME_WAIT tcp 0 0 93.154.188.68:53470 173.194.32.198:80 ESTABLISHED tcp 0 0 93.154.188.68:34100 68.232.35.121:443 ESTABLISHED tcp 0 0 93.154.188.68:42758 74.125.239.143:443 ESTABLISHED tcp 0 0 93.154.188.68:42765 74.125.239.143:443 TIME_WAIT tcp 0 0 93.154.188.68:39000 173.194.69.95:80 TIME_WAIT tcp 0 0 93.154.188.68:50296 173.194.69.189:443 TIME_WAIT tcp 0 0 93.154.188.68:53467 173.194.32.198:80 ESTABLISHED tcp 0 0 93.154.188.68:42766 74.125.239.143:443 TIME_WAIT tcp 0 0 93.154.188.68:45251 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:45248 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:45247 190.93.244.58:80 ESTABLISHED tcp 0 159 93.154.188.68:50254 173.194.69.189:443 LAST_ACK tcp 0 0 93.154.188.68:34483 173.194.69.95:443 ESTABLISHED Output of ps: USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 1 0.8 0.0 3628 2092 ? Ss 16:52 0:03 /sbin/init root 2 0.0 0.0 0 0 ? S 16:52 0:00 [kthreadd] root 3 0.1 0.0 0 0 ? S 16:52 0:00 [ksoftirqd/0] root 4 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/0:0] root 6 0.0 0.0 0 0 ? S 16:52 0:00 [migration/0] root 7 0.0 0.0 0 0 ? S 16:52 0:00 [watchdog/0] root 8 0.0 0.0 0 0 ? S 16:52 0:00 [migration/1] root 10 0.1 0.0 0 0 ? S 16:52 0:00 [ksoftirqd/1] root 11 0.0 0.0 0 0 ? S 16:52 0:00 [watchdog/1] root 12 0.0 0.0 0 0 ? S 16:52 0:00 [migration/2] root 14 0.1 0.0 0 0 ? S 16:52 0:00 [ksoftirqd/2] root 15 0.0 0.0 0 0 ? S 16:52 0:00 [watchdog/2] root 16 0.0 0.0 0 0 ? S 16:52 0:00 [migration/3] root 17 0.0 0.0 0 0 ? S 16:52 0:00 [kworker/3:0] root 18 0.1 0.0 0 0 ? S 16:52 0:00 [ksoftirqd/3] root 19 0.0 0.0 0 0 ? S 16:52 0:00 [watchdog/3] root 20 0.0 0.0 0 0 ? S< 16:52 0:00 [cpuset] root 21 0.0 0.0 0 0 ? S< 16:52 0:00 [khelper] root 22 0.0 0.0 0 0 ? S 16:52 0:00 [kdevtmpfs] root 23 0.0 0.0 0 0 ? S< 16:52 0:00 [netns] root 24 0.0 0.0 0 0 ? S 16:52 0:00 [sync_supers] root 25 0.0 0.0 0 0 ? S 16:52 0:00 [bdi-default] root 26 0.0 0.0 0 0 ? S< 16:52 0:00 [kintegrityd] root 27 0.0 0.0 0 0 ? S< 16:52 0:00 [kblockd] root 28 0.0 0.0 0 0 ? S< 16:52 0:00 [ata_sff] root 29 0.0 0.0 0 0 ? S 16:52 0:00 [khubd] root 30 0.0 0.0 0 0 ? S< 16:52 0:00 [md] root 42 0.0 0.0 0 0 ? S 16:52 0:00 [khungtaskd] root 43 0.0 0.0 0 0 ? S 16:52 0:00 [kswapd0] root 44 0.0 0.0 0 0 ? SN 16:52 0:00 [ksmd] root 45 0.0 0.0 0 0 ? SN 16:52 0:00 [khugepaged] root 46 0.0 0.0 0 0 ? S 16:52 0:00 [fsnotify_mark] root 47 0.0 0.0 0 0 ? S 16:52 0:00 [ecryptfs-kthrea] root 48 0.0 0.0 0 0 ? S< 16:52 0:00 [crypto] root 59 0.0 0.0 0 0 ? S< 16:52 0:00 [kthrotld] root 70 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/2:1] root 71 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_0] root 72 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_1] root 73 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_2] root 74 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_3] root 75 0.0 0.0 0 0 ? S 16:52 0:00 [kworker/u:2] root 76 0.0 0.0 0 0 ? S 16:52 0:00 [kworker/u:3] root 79 0.0 0.0 0 0 ? S 16:52 0:00 [kworker/1:1] root 99 0.0 0.0 0 0 ? S< 16:52 0:00 [deferwq] root 100 0.0 0.0 0 0 ? S< 16:52 0:00 [charger_manager] root 101 0.0 0.0 0 0 ? S< 16:52 0:00 [devfreq_wq] root 102 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/2:2] root 106 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_4] root 107 0.0 0.0 0 0 ? S 16:52 0:00 [usb-storage] root 108 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_5] root 109 0.0 0.0 0 0 ? S 16:52 0:00 [usb-storage] root 271 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/1:2] root 316 0.0 0.0 0 0 ? S 16:52 0:00 [jbd2/sda1-8] root 317 0.0 0.0 0 0 ? S< 16:52 0:00 [ext4-dio-unwrit] root 440 0.1 0.0 2820 608 ? S 16:52 0:00 upstart-udev-bridge --daemon root 478 0.0 0.0 3460 1648 ? Ss 16:52 0:00 /sbin/udevd --daemon root 632 0.0 0.0 3348 1336 ? S 16:52 0:00 /sbin/udevd --daemon root 633 0.0 0.0 3348 1204 ? S 16:52 0:00 /sbin/udevd --daemon root 782 0.0 0.0 2816 596 ? S 16:52 0:00 upstart-socket-bridge --daemon root 822 0.0 0.0 6684 2400 ? Ss 16:52 0:00 /usr/sbin/sshd -D 102 834 0.2 0.0 4064 1864 ? Ss 16:52 0:01 dbus-daemon --system --fork root 857 0.0 0.1 7420 3380 ? Ss 16:52 0:00 /usr/sbin/modem-manager root 858 0.0 0.0 4784 1636 ? Ss 16:52 0:00 /usr/sbin/bluetoothd syslog 860 0.0 0.0 31068 1496 ? Sl 16:52 0:00 rsyslogd -c5 root 869 0.1 0.1 24280 5564 ? Ssl 16:52 0:00 NetworkManager avahi 883 0.0 0.0 3448 1488 ? S 16:52 0:00 avahi-daemon: running [pony.local] avahi 884 0.0 0.0 3448 436 ? S 16:52 0:00 avahi-daemon: chroot helper root 885 0.0 0.0 0 0 ? S< 16:52 0:00 [kpsmoused] root 892 0.0 0.1 25696 4140 ? Sl 16:52 0:00 /usr/lib/policykit-1/polkitd --no-debug root 923 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_6] root 959 0.0 0.0 0 0 ? S< 16:52 0:00 [krfcommd] root 970 0.0 0.1 7536 3120 ? Ss 16:52 0:00 /usr/sbin/cupsd -F colord 976 0.1 0.3 55080 10396 ? Sl 16:52 0:00 /usr/lib/i386-linux-gnu/colord/colord root 979 0.0 0.0 4632 872 tty4 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty4 root 987 0.0 0.0 4632 884 tty5 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty5 root 994 0.0 0.0 4632 884 tty2 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty2 root 995 0.0 0.0 4632 868 tty3 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty3 root 998 0.0 0.0 4632 876 tty6 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty6 root 1022 0.0 0.0 2176 680 ? Ss 16:52 0:00 acpid -c /etc/acpi/events -s /var/run/acpid.socket root 1029 0.0 0.0 3632 664 ? Ss 16:52 0:00 /usr/sbin/irqbalance daemon 1030 0.0 0.0 2476 120 ? Ss 16:52 0:00 atd root 1031 0.0 0.0 2620 880 ? Ss 16:52 0:00 cron root 1061 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/3:2] root 1064 0.0 1.0 34116 31072 ? SLsl 16:52 0:00 lightdm root 1076 13.4 1.2 118688 37920 tty7 Ssl+ 16:52 0:55 /usr/bin/X :0 -core -auth /var/run/lightdm/root/:0 -nolisten tcp vt7 -novtswit root 1085 0.0 0.0 0 0 ? S 16:52 0:00 [rts_pstor] root 1087 0.0 0.0 0 0 ? S 16:52 0:00 [rtsx-polling] root 1095 0.0 0.0 0 0 ? S< 16:52 0:00 [cfg80211] root 1127 0.0 0.0 0 0 ? S 16:52 0:00 [flush-8:0] root 1130 0.0 0.0 6136 1824 ? Ss 16:52 0:00 /sbin/wpa_supplicant -B -P /run/sendsigs.omit.d/wpasupplicant.pid -u -s -O /va root 1137 0.0 0.1 24604 3164 ? Sl 16:52 0:00 /usr/lib/accountsservice/accounts-daemon root 1140 0.0 0.0 0 0 ? S< 16:52 0:00 [hd-audio0] root 1188 0.0 0.1 34308 3420 ? Sl 16:52 0:00 /usr/sbin/console-kit-daemon --no-daemon root 1425 0.0 0.0 4632 872 tty1 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty1 root 1443 0.1 0.1 29460 4664 ? Sl 16:52 0:00 /usr/lib/upower/upowerd root 1579 0.0 0.1 16540 3272 ? Sl 16:53 0:00 lightdm --session-child 12 19 bw 1623 0.0 0.0 2232 644 ? Ss 16:53 0:00 /bin/sh /usr/bin/startkde bw 1672 0.0 0.0 4092 204 ? Ss 16:53 0:00 /usr/bin/ssh-agent /usr/bin/gpg-agent --daemon --sh --write-env-file=/home/bw/ bw 1673 0.0 0.0 5492 384 ? Ss 16:53 0:00 /usr/bin/gpg-agent --daemon --sh --write-env-file=/home/bw/.gnupg/gpg-agent-in bw 1676 0.0 0.0 3848 792 ? S 16:53 0:00 /usr/bin/dbus-launch --exit-with-session /usr/bin/startkde bw 1677 0.5 0.0 5384 2180 ? Ss 16:53 0:02 //bin/dbus-daemon --fork --print-pid 5 --print-address 7 --session root 1704 0.3 0.1 25348 3600 ? Sl 16:53 0:01 /usr/lib/udisks/udisks-daemon root 1705 0.0 0.0 6620 728 ? S 16:53 0:00 udisks-daemon: not polling any devices bw 1736 0.0 0.0 2008 64 ? S 16:53 0:00 /usr/lib/kde4/libexec/start_kdeinit +kcminit_startup bw 1737 0.0 0.5 115200 15588 ? Ss 16:53 0:00 kdeinit4: kdeinit4 Running... bw 1738 0.1 0.2 116756 8728 ? S 16:53 0:00 kdeinit4: klauncher [kdeinit] --fd=9 bw 1740 0.6 1.0 340524 31264 ? Sl 16:53 0:02 kdeinit4: kded4 [kdeinit] bw 1742 0.0 0.0 8944 2144 ? S 16:53 0:00 /usr/lib/i386-linux-gnu/gconf/gconfd-2 bw 1746 0.2 0.4 92028 14688 ? S 16:53 0:00 /usr/bin/kglobalaccel bw 1748 0.0 0.4 90804 13500 ? S 16:53 0:00 /usr/bin/kwalletd bw 1752 0.1 0.5 103764 15152 ? S 16:53 0:00 /usr/bin/kactivitymanagerd bw 1758 0.0 0.0 2144 280 ? S 16:53 0:00 kwrapper4 ksmserver bw 1759 0.1 0.5 150016 16088 ? Sl 16:53 0:00 kdeinit4: ksmserver [kdeinit] bw 1763 2.2 1.0 178492 32100 ? Sl 16:53 0:08 kwin bw 1772 0.2 0.5 106292 16340 ? Sl 16:53 0:00 /usr/bin/knotify4 bw 1777 0.9 1.1 246120 32912 ? Sl 16:53 0:03 /usr/bin/krunner bw 1778 6.3 2.7 389884 80216 ? Sl 16:53 0:23 /usr/bin/plasma-desktop bw 1785 0.0 0.0 2844 1208 ? S 16:53 0:00 ksysguardd bw 1789 0.1 0.4 82036 14176 ? S 16:53 0:00 /usr/bin/kuiserver bw 1805 0.3 0.1 61560 5612 ? Sl 16:53 0:01 /usr/bin/akonadi_control root 1806 0.0 0.0 0 0 ? S 16:53 0:00 [kworker/0:2] bw 1808 0.1 0.2 211852 8460 ? Sl 16:53 0:00 akonadiserver bw 1810 0.4 0.8 244116 25360 ? Sl 16:53 0:01 /usr/sbin/mysqld --defaults-file=/home/bw/.local/share/akonadi/mysql.conf --da bw 1874 0.0 0.0 35284 2956 ? Sl 16:53 0:00 /usr/bin/xsettings-kde bw 1876 0.0 0.3 68776 9488 ? Sl 16:53 0:00 /usr/bin/nepomukserver bw 1884 0.4 0.9 173876 29240 ? SNl 16:53 0:01 /usr/bin/nepomukservicestub nepomukstorage bw 1902 6.1 2.1 451512 63924 ? Sl 16:53 0:21 /home/bw/.dropbox-dist/dropbox bw 1906 3.8 1.0 142368 32376 ? Rl 16:53 0:13 /usr/bin/yakuake bw 1933 0.0 0.1 54636 4680 ? Sl 16:53 0:00 /usr/bin/zeitgeist-datahub bw 1943 0.5 1.5 164836 46836 ? Sl 16:53 0:01 python /usr/bin/printer-applet bw 1945 0.1 0.1 99636 5048 ? S<l 16:53 0:00 /usr/bin/pulseaudio --start --log-target=syslog rtkit 1947 0.0 0.0 21336 1248 ? SNl 16:53 0:00 /usr/lib/rtkit/rtkit-daemon bw 1958 0.0 0.1 44204 3792 ? Sl 16:53 0:00 /usr/bin/zeitgeist-daemon bw 1972 0.0 0.0 27008 2684 ? Sl 16:53 0:00 /usr/lib/gvfs/gvfsd bw 1974 0.1 0.5 90480 16660 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_akonotes_resource akonadi_akonotes_res bw 1984 0.1 0.5 90472 16636 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_akonotes_resource akonadi_akonotes_res bw 1985 0.3 0.9 148800 28304 ? S 16:53 0:01 /usr/bin/akonadi_archivemail_agent --identifier akonadi_archivemail_agent bw 1992 0.1 0.5 90020 16148 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_contacts_resource akonadi_contacts_res bw 1993 0.1 0.5 90132 16452 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_contacts_resource akonadi_contacts_res bw 1994 0.1 0.5 90564 16332 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_ical_resource akonadi_ical_resource_0 bw 1995 0.1 0.5 90676 16732 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_ical_resource akonadi_ical_resource_1 bw 1996 0.1 0.5 90468 16800 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_maildir_resource akonadi_maildir_resou bw 1999 0.2 0.6 99324 19276 ? S 16:53 0:00 /usr/bin/akonadi_maildispatcher_agent --identifier akonadi_maildispatcher_agen bw 2006 0.3 0.9 148808 28332 ? S 16:53 0:01 /usr/bin/akonadi_mailfilter_agent --identifier akonadi_mailfilter_agent bw 2017 0.0 0.1 50256 4716 ? Sl 16:53 0:00 /usr/lib/zeitgeist/zeitgeist-fts bw 2024 0.2 0.6 103632 18376 ? Sl 16:53 0:00 /usr/bin/akonadi_nepomuk_feeder --identifier akonadi_nepomuk_feeder bw 2043 0.0 0.0 4484 280 ? S 16:53 0:00 /bin/cat bw 2101 0.2 0.7 113600 22396 ? Sl 16:53 0:00 /usr/lib/kde4/libexec/polkit-kde-authentication-agent-1 bw 2105 0.2 0.7 114196 22072 ? Sl 16:53 0:00 /usr/bin/nepomukcontroller bw 2156 0.3 1.0 333188 31244 ? Sl 16:54 0:01 /usr/bin/kmix bw 2167 0.0 0.0 6548 2724 pts/2 Ss 16:54 0:00 /bin/bash bw 2177 0.2 0.7 113496 22960 ? Sl 16:54 0:00 /usr/bin/klipper bw 2394 3.5 1.2 52932 35596 ? SNl 16:54 0:11 /usr/bin/virtuoso-t +foreground +configfile /tmp/virtuoso_hX1884.ini +wait root 2460 0.0 0.0 6184 1876 pts/2 S 16:54 0:00 sudo -s root 2500 0.0 0.0 6528 2700 pts/2 S 16:54 0:00 /bin/bash root 2599 0.0 0.0 5444 1280 pts/2 S+ 16:54 0:00 /bin/bash bin/aero root 2606 0.1 0.0 9836 2500 pts/2 S+ 16:54 0:00 wvdial aero2 root 2619 0.0 0.0 3504 1280 pts/2 S 16:54 0:00 /usr/sbin/pppd 57600 modem crtscts defaultroute usehostname -detach user aero bw 2653 0.0 0.0 6600 2880 pts/3 Ss 16:54 0:00 /bin/bash bw 2676 0.4 0.8 130296 24016 ? SNl 16:54 0:01 /usr/bin/nepomukservicestub nepomukfilewatch bw 2679 0.1 0.7 101636 22252 ? SNl 16:54 0:00 /usr/bin/nepomukservicestub nepomukqueryservice bw 2681 0.2 0.8 109836 24280 ? SNl 16:54 0:00 /usr/bin/nepomukservicestub nepomukbackupsync bw 3833 46.0 9.7 829272 288012 ? Rl 16:55 1:46 /usr/lib/firefox/firefox bw 3903 0.0 0.0 35128 2804 ? Sl 16:55 0:00 /usr/lib/at-spi2-core/at-spi-bus-launcher bw 4708 0.1 0.0 6564 2736 pts/4 Ss 16:56 0:00 /bin/bash root 5210 0.0 0.0 0 0 ? S 16:57 0:00 [kworker/u:0] root 6140 0.2 0.0 0 0 ? S 16:58 0:00 [kworker/0:1] root 6371 0.5 0.0 6184 1868 pts/4 S+ 16:59 0:00 sudo nethogs ppp0 root 6411 17.7 0.2 8616 6144 pts/4 S+ 16:59 0:05 nethogs ppp0 bw 6787 0.0 0.0 5464 1220 pts/3 R+ 16:59 0:00 ps auxw

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  • VLC will sometimes have issues displaying video in fullscreen. What could cause this? How would I troubleshoot the issue?

    - by George Marian
    Recently VLC has been having issues displaying video in fullscreen mode. AFAIK, nothing has changed with the video card drivers and it's certainly the same version of VLC. (/me shakes a fist at the repository maintainers) This has worked without issue in the past. In fact, I've had as many as 6 instances of VLC running, each playing a video. One was always fullscreen on my second monitor, while the others were tiled on my primary monitor. I was able to toggle any of the other 5 into fullscreen mode and the video displayed without issue. Lately, I've been having trouble running 2 instances in fullscreen mode. (Sometimes, even a single instance will not display the video in fullscreen.) VLC will continue to play the video, but in fullscreen mode I see nothing but a black screen. Sometimes, the video will display if I maximize the VLC window. Other times, I have to settle for a smaller sized window. I don't know if this is pertinent, but sometimes changing the min/max state of a Firefox window (Minefield, specifically) seemed to allow the troublesome instance to display the video in fullscreen mode. However, that did not prove to be a consistent workaround. Sometimes, it seemed that closing a Firefox window did the trick, though that isn't consistently successful either. (I futzed with Firefox, because with the crazy number of windows and tabs that I normally have open, it regularly hogs about 1 GB of RAM.) Another bit of funkiness that comes to mind is the fact that my secondary monitor is considered the primary on boot-up. I use xrandr to designate the real 1st monitor as primary after boot-up, as suggested by someone in a question I asked on the Unix & Linux SE site. Specs: Ubuntu 10.10 w/ Gnome and Compiz 8GB RAM AMD Phenom II 965 Black Edition Asus M4A79 Deluxe mobo XFX ATI Radeon HD 5750 w/ 1GB RAM VLC is configured to use the hardware overlay for video (as per the default setting) Does anyone have an idea what may cause this issue or how I may go about troubleshooting it? Update: Right now I have 2 instances of VLC playing, each in fullscreen mode on a separate monitor. This is what I see:

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