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  • SQL Server and Hyper-V Dynamic Memory Part 2

    - by SQLOS Team
    Part 1 of this series was an introduction and overview of Hyper-V Dynamic Memory. This part looks at SQL Server memory management and how the SQL engine responds to changing OS memory conditions.   Part 2: SQL Server Memory Management As with any Windows process, sqlserver.exe has a virtual address space (VAS) of 4GB on 32-bit and 8TB in 64-bit editions. Pages in its VAS are mapped to pages in physical memory when the memory is committed and referenced for the first time. The collection of VAS pages that have been recently referenced is known as the Working Set. How and when SQL Server allocates virtual memory and grows its working set depends on the memory model it uses. SQL Server supports three basic memory models:   1. Conventional Memory Model   The Conventional model is the default SQL Server memory model and has the following properties: - Dynamic - can grow or shrink its working set in response to load and external (operating system) memory conditions. - OS uses 4K pages – (not to be confused with SQL Server “pages” which are 8K regions of committed memory).- Pageable - Can be paged out to disk by the operating system.   2. Locked Page Model The locked page memory model is set when SQL Server is started with "Lock Pages in Memory" privilege*. It has the following characteristics: - Dynamic - can grow or shrink its working set in the same way as the Conventional model.- OS uses 4K pages - Non-Pageable – When memory is committed it is locked in memory, meaning that it will remain backed by physical memory and will not be paged out by the operating system. A common misconception is to interpret "locked" as non-dynamic. A SQL Server instance using the locked page memory model will grow and shrink (allocate memory and release memory) in response to changing workload and OS memory conditions in the same way as it does with the conventional model.   This is an important consideration when we look at Hyper-V Dynamic Memory – “locked” memory works perfectly well with “dynamic” memory.   * Note in “Denali” (Standard Edition and above), and in SQL 2008 R2 64-bit (Enterprise and above editions) the Lock Pages in Memory privilege is all that is required to set this model. In 2008 R2 64-Bit standard edition it also requires trace flag 845 to be set, in 2008 R2 32-bit editions it requires sp_configure 'awe enabled' 1.   3. Large Page Model The Large page model is set using trace flag 834 and potentially offers a small performance boost for systems that are configured with large pages. It is characterized by: - Static - memory is allocated at startup and does not change. - OS uses large (>2MB) pages - Non-Pageable The large page model is supported with Hyper-V Dynamic Memory (and Hyper-V also supports large pages), but you get no benefit from using Dynamic Memory with this model since SQL Server memory does not grow or shrink. The rest of this article will focus on the locked and conventional SQL Server memory models.   When does SQL Server grow? For “dynamic” configurations (Conventional and Locked memory models), the sqlservr.exe process grows – allocates and commits memory from the OS – in response to a workload. As much memory is allocated as is required to optimally run the query and buffer data for future queries, subject to limitations imposed by:   - SQL Server max server memory setting. If this configuration option is set, the buffer pool is not allowed to grow to more than this value. In SQL Server 2008 this value represents single page allocations, and in “Denali” it represents any size page allocations and also managed CLR procedure allocations.   - Memory signals from OS. The operating system sets a signal on memory resource notification objects to indicate whether it has memory available or whether it is low on available memory. If there is only 32MB free for every 4GB of memory a low memory signal is set, which continues until 64MB/4GB is free. If there is 96MB/4GB free the operating system sets a high memory signal. SQL Server only allocates memory when the high memory signal is set.   To summarize, for SQL Server to grow you need three conditions: a workload, max server memory setting higher than the current allocation, high memory signals from the OS.    When does SQL Server shrink caches? SQL Server as a rule does not like to return memory to the OS, but it will shrink its caches in response to memory pressure. Memory pressure can be divided into “internal” and “external”.   - External memory pressure occurs when the operating system is running low on memory and low memory signals are set. The SQL Server Resource Monitor checks for low memory signals approximately every 5 seconds and it will attempt to free memory until the signals stop.   To free memory SQL Server does the following: ·         Frees unused memory. ·         Notifies Memory Manager Clients to release memory o   Caches – Free unreferenced cache objects. o   Buffer pool - Based on oldest access times.   The freed memory is released back to the operating system. This process continues until the low memory resource notifications stop.    - Internal memory pressure occurs when the size of different caches and allocations increase but the SQL Server process needs to keep its total memory within a target value. For example if max server memory is set and certain caches are growing large, it will cause SQL to free memory for re-use internally, but not to release memory back to the OS. If you lower the value of max server memory you will generate internal memory pressure that will cause SQL to release memory back to the OS.    Memory pressure handling has not changed much since SQL 2005 and it was described in detail in a blog post by Slava Oks.   Note that SQL Server Express is an exception to the above behavior. Unlike other editions it does not assume it is the most important process running on the system but tries to be more “desktop” friendly. It will empty its working set after a period of inactivity.   How does SQL Server respond to changing OS memory?    In SQL Server 2005 support for Hot-Add memory was introduced. This feature, available in Enterprise and above editions, allows the server to make use of any extra physical memory that was added after SQL Server started. Being able to add physical memory when the system is running is limited to specialized hardware, but with the Hyper-V Dynamic Memory feature, when new memory is allocated to a guest virtual machine, it looks like hot-add physical memory to the guest. What this means is that thanks to the hot-add memory feature, SQL Server 2005 and higher can dynamically grow if more “physical” memory is granted to a guest VM by Hyper-V dynamic memory.   SQL Server checks OS memory every second and dynamically adjusts its “target” (based on available OS memory and max server memory) accordingly.   In “Denali” Standard Edition will also have sqlserver.exe support for hot-add memory when running virtualized (i.e. detecting and acting on Hyper-V Dynamic Memory allocations).   How does a SQL Server workload in a guest VM impact Hyper-V dynamic memory scheduling?   When a SQL workload causes the sqlserver.exe process to grow its working set, the Hyper-V memory scheduler will detect memory pressure in the guest VM and add memory to it. SQL Server will then detect the extra memory and grow according to workload demand. In our tests we have seen this feedback process cause a guest VM to grow quickly in response to SQL workload - we are still working on characterizing this ramp-up.    How does SQL Server respond when Hyper-V removes memory from a guest VM through ballooning?   If pressure from other VM's cause Hyper-V Dynamic Memory to take memory away from a VM through ballooning (allocating memory with a virtual device driver and returning it to the host OS), Windows Memory Manager will page out unlocked portions of memory and signal low resource notification events. When SQL Server detects these events it will shrink memory until the low memory notifications stop (see cache shrinking description above).    This raises another question. Can we make SQL Server release memory more readily and hence behave more "dynamically" without compromising performance? In certain circumstances where the application workload is predictable it may be possible to have a job which varies "max server memory" according to need, lowering it when the engine is inactive and raising it before a period of activity. This would have limited applicaability but it is something we're looking into.   What Memory Management changes are there in SQL Server “Denali”?   In SQL Server “Denali” (aka SQL11) the Memory Manager has been re-written to be more efficient. The main changes are summarized in this post. An important change with respect to Hyper-V Dynamic Memory support is that now the max server memory setting includes any size page allocations and managed CLR procedure allocations it now represents a closer approximation to total sqlserver.exe memory usage. This makes it easier to calculate a value for max server memory, which becomes important when configuring virtual machines to work well with Hyper-V Dynamic Memory Startup and Maximum RAM settings.   Another important change is no more AWE or hot-add support for 32-bit edition. This means if you're running a 32-bit edition of Denali you're limited to a 4GB address space and will not be able to take advantage of dynamically added OS memory that wasn't present when SQL Server started (though Hyper-V Dynamic Memory is still a supported configuration).   In part 3 we’ll develop some best practices for configuring and using SQL Server with Dynamic Memory. Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • App ID and Bundle Seed ID in multiple applications with ASPN, InApp Purchase, and other

    - by Benny7500
    I will create multiple sale versions of the same application with push notifications feature: CoolApp (full version) CoolApp Free (free, features limited version) CoolApp InApp (free version upgradable to full via InApp Purchase) While registering for App ID in Apple Program Portal is possible to create "Bundle seed ID": "The Bundle Seed ID portion of your App ID can be utilized to share keychain access between multiple applications you build with a single App ID" Is possible to create only one App ID, for example: "XDFGYE6TR4.com.company.coolapp" and use it for all three versions of CoolApp, with enabled push notifications and in app purchases?

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  • Creating an ASP.NET Database using MS SQL 2008 in Visual Web Developer 2008

    This article illustrates how to create a database in ASP.NET. We ll be using Microsoft SQL Server 2 8 and developing it in Visual Web Developer Express 2 8. Given the importance of databases to most websites nowadays you should find this information useful when building just about any website based on Microsoft technology.... Email Marketing Software No Mthly Fees - Powerful email marketing software that installs on your server.

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  • SQL SERVER – Guest Post – Jonathan Kehayias – Wait Type – Day 16 of 28

    - by pinaldave
    Jonathan Kehayias (Blog | Twitter) is a MCITP Database Administrator and Developer, who got started in SQL Server in 2004 as a database developer and report writer in the natural gas industry. After spending two and a half years working in TSQL, in late 2006, he transitioned to the role of SQL Database Administrator. His primary passion is performance tuning, where he frequently rewrites queries for better performance and performs in depth analysis of index implementation and usage. Jonathan blogs regularly on SQLBlog, and was a coauthor of Professional SQL Server 2008 Internals and Troubleshooting. On a personal note, I think Jonathan is extremely positive person. In every conversation with him I have found that he is always eager to help and encourage. Every time he finds something needs to be approved, he has contacted me without hesitation and guided me to improve, change and learn. During all the time, he has not lost his focus to help larger community. I am honored that he has accepted to provide his views on complex subject of Wait Types and Queues. Currently I am reading his series on Extended Events. Here is the guest blog post by Jonathan: SQL Server troubleshooting is all about correlating related pieces of information together to indentify where exactly the root cause of a problem lies. In my daily work as a DBA, I generally get phone calls like, “So and so application is slow, what’s wrong with the SQL Server.” One of the funny things about the letters DBA is that they go so well with Default Blame Acceptor, and I really wish that I knew exactly who the first person was that pointed that out to me, because it really fits at times. A lot of times when I get this call, the problem isn’t related to SQL Server at all, but every now and then in my initial quick checks, something pops up that makes me start looking at things further. The SQL Server is slow, we see a number of tasks waiting on ASYNC_IO_COMPLETION, IO_COMPLETION, or PAGEIOLATCH_* waits in sys.dm_exec_requests and sys.dm_exec_waiting_tasks. These are also some of the highest wait types in sys.dm_os_wait_stats for the server, so it would appear that we have a disk I/O bottleneck on the machine. A quick check of sys.dm_io_virtual_file_stats() and tempdb shows a high write stall rate, while our user databases show high read stall rates on the data files. A quick check of some performance counters and Page Life Expectancy on the server is bouncing up and down in the 50-150 range, the Free Page counter consistently hits zero, and the Free List Stalls/sec counter keeps jumping over 10, but Buffer Cache Hit Ratio is 98-99%. Where exactly is the problem? In this case, which happens to be based on a real scenario I faced a few years back, the problem may not be a disk bottleneck at all; it may very well be a memory pressure issue on the server. A quick check of the system spec’s and it is a dual duo core server with 8GB RAM running SQL Server 2005 SP1 x64 on Windows Server 2003 R2 x64. Max Server memory is configured at 6GB and we think that this should be enough to handle the workload; or is it? This is a unique scenario because there are a couple of things happening inside of this system, and they all relate to what the root cause of the performance problem is on the system. If we were to query sys.dm_exec_query_stats for the TOP 10 queries, by max_physical_reads, max_logical_reads, and max_worker_time, we may be able to find some queries that were using excessive I/O and possibly CPU against the system in their worst single execution. We can also CROSS APPLY to sys.dm_exec_sql_text() and see the statement text, and also CROSS APPLY sys.dm_exec_query_plan() to get the execution plan stored in cache. Ok, quick check, the plans are pretty big, I see some large index seeks, that estimate 2.8GB of data movement between operators, but everything looks like it is optimized the best it can be. Nothing really stands out in the code, and the indexing looks correct, and I should have enough memory to handle this in cache, so it must be a disk I/O problem right? Not exactly! If we were to look at how much memory the plan cache is taking by querying sys.dm_os_memory_clerks for the CACHESTORE_SQLCP and CACHESTORE_OBJCP clerks we might be surprised at what we find. In SQL Server 2005 RTM and SP1, the plan cache was allowed to take up to 75% of the memory under 8GB. I’ll give you a second to go back and read that again. Yes, you read it correctly, it says 75% of the memory under 8GB, but you don’t have to take my word for it, you can validate this by reading Changes in Caching Behavior between SQL Server 2000, SQL Server 2005 RTM and SQL Server 2005 SP2. In this scenario the application uses an entirely adhoc workload against SQL Server and this leads to plan cache bloat, and up to 4.5GB of our 6GB of memory for SQL can be consumed by the plan cache in SQL Server 2005 SP1. This in turn reduces the size of the buffer cache to just 1.5GB, causing our 2.8GB of data movement in this expensive plan to cause complete flushing of the buffer cache, not just once initially, but then another time during the queries execution, resulting in excessive physical I/O from disk. Keep in mind that this is not the only query executing at the time this occurs. Remember the output of sys.dm_io_virtual_file_stats() showed high read stalls on the data files for our user databases versus higher write stalls for tempdb? The memory pressure is also forcing heavier use of tempdb to handle sorting and hashing in the environment as well. The real clue here is the Memory counters for the instance; Page Life Expectancy, Free List Pages, and Free List Stalls/sec. The fact that Page Life Expectancy is fluctuating between 50 and 150 constantly is a sign that the buffer cache is experiencing constant churn of data, once every minute to two and a half minutes. If you add to the Page Life Expectancy counter, the consistent bottoming out of Free List Pages along with Free List Stalls/sec consistently spiking over 10, and you have the perfect memory pressure scenario. All of sudden it may not be that our disk subsystem is the problem, but is instead an innocent bystander and victim. Side Note: The Page Life Expectancy counter dropping briefly and then returning to normal operating values intermittently is not necessarily a sign that the server is under memory pressure. The Books Online and a number of other references will tell you that this counter should remain on average above 300 which is the time in seconds a page will remain in cache before being flushed or aged out. This number, which equates to just five minutes, is incredibly low for modern systems and most published documents pre-date the predominance of 64 bit computing and easy availability to larger amounts of memory in SQL Servers. As food for thought, consider that my personal laptop has more memory in it than most SQL Servers did at the time those numbers were posted. I would argue that today, a system churning the buffer cache every five minutes is in need of some serious tuning or a hardware upgrade. Back to our problem and its investigation: There are two things really wrong with this server; first the plan cache is excessively consuming memory and bloated in size and we need to look at that and second we need to evaluate upgrading the memory to accommodate the workload being performed. In the case of the server I was working on there were a lot of single use plans found in sys.dm_exec_cached_plans (where usecounts=1). Single use plans waste space in the plan cache, especially when they are adhoc plans for statements that had concatenated filter criteria that is not likely to reoccur with any frequency.  SQL Server 2005 doesn’t natively have a way to evict a single plan from cache like SQL Server 2008 does, but MVP Kalen Delaney, showed a hack to evict a single plan by creating a plan guide for the statement and then dropping that plan guide in her blog post Geek City: Clearing a Single Plan from Cache. We could put that hack in place in a job to automate cleaning out all the single use plans periodically, minimizing the size of the plan cache, but a better solution would be to fix the application so that it uses proper parameterized calls to the database. You didn’t write the app, and you can’t change its design? Ok, well you could try to force parameterization to occur by creating and keeping plan guides in place, or we can try forcing parameterization at the database level by using ALTER DATABASE <dbname> SET PARAMETERIZATION FORCED and that might help. If neither of these help, we could periodically dump the plan cache for that database, as discussed as being a problem in Kalen’s blog post referenced above; not an ideal scenario. The other option is to increase the memory on the server to 16GB or 32GB, if the hardware allows it, which will increase the size of the plan cache as well as the buffer cache. In SQL Server 2005 SP1, on a system with 16GB of memory, if we set max server memory to 14GB the plan cache could use at most 9GB  [(8GB*.75)+(6GB*.5)=(6+3)=9GB], leaving 5GB for the buffer cache.  If we went to 32GB of memory and set max server memory to 28GB, the plan cache could use at most 16GB [(8*.75)+(20*.5)=(6+10)=16GB], leaving 12GB for the buffer cache. Thankfully we have SQL Server 2005 Service Pack 2, 3, and 4 these days which include the changes in plan cache sizing discussed in the Changes to Caching Behavior between SQL Server 2000, SQL Server 2005 RTM and SQL Server 2005 SP2 blog post. In real life, when I was troubleshooting this problem, I spent a week trying to chase down the cause of the disk I/O bottleneck with our Server Admin and SAN Admin, and there wasn’t much that could be done immediately there, so I finally asked if we could increase the memory on the server to 16GB, which did fix the problem. It wasn’t until I had this same problem occur on another system that I actually figured out how to really troubleshoot this down to the root cause.  I couldn’t believe the size of the plan cache on the server with 16GB of memory when I actually learned about this and went back to look at it. SQL Server is constantly telling a story to anyone that will listen. As the DBA, you have to sit back and listen to all that it’s telling you and then evaluate the big picture and how all the data you can gather from SQL about performance relate to each other. One of the greatest tools out there is actually a free in the form of Diagnostic Scripts for SQL Server 2005 and 2008, created by MVP Glenn Alan Berry. Glenn’s scripts collect a majority of the information that SQL has to offer for rapid troubleshooting of problems, and he includes a lot of notes about what the outputs of each individual query might be telling you. When I read Pinal’s blog post SQL SERVER – ASYNC_IO_COMPLETION – Wait Type – Day 11 of 28, I noticed that he referenced Checking Memory Related Performance Counters in his post, but there was no real explanation about why checking memory counters is so important when looking at an I/O related wait type. I thought I’d chat with him briefly on Google Talk/Twitter DM and point this out, and offer a couple of other points I noted, so that he could add the information to his blog post if he found it useful.  Instead he asked that I write a guest blog for this. I am honored to be a guest blogger, and to be able to share this kind of information with the community. The information contained in this blog post is a glimpse at how I do troubleshooting almost every day of the week in my own environment. SQL Server provides us with a lot of information about how it is running, and where it may be having problems, it is up to us to play detective and find out how all that information comes together to tell us what’s really the problem. This blog post is written by Jonathan Kehayias (Blog | Twitter). Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: MVP, Pinal Dave, PostADay, Readers Contribution, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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  • How to solve "java.io.IOException: error=12, Cannot allocate memory" calling Runtime#exec()?

    - by Andrea Francia
    On my system I can't run a simple Java application that start a process. I don't know how to solve. Could you give me some hints how to solve? The program is: [root@newton sisma-acquirer]# cat prova.java import java.io.IOException; public class prova { public static void main(String[] args) throws IOException { Runtime.getRuntime().exec("ls"); } } The result is: [root@newton sisma-acquirer]# javac prova.java && java -cp . prova Exception in thread "main" java.io.IOException: Cannot run program "ls": java.io.IOException: error=12, Cannot allocate memory at java.lang.ProcessBuilder.start(ProcessBuilder.java:474) at java.lang.Runtime.exec(Runtime.java:610) at java.lang.Runtime.exec(Runtime.java:448) at java.lang.Runtime.exec(Runtime.java:345) at prova.main(prova.java:6) Caused by: java.io.IOException: java.io.IOException: error=12, Cannot allocate memory at java.lang.UNIXProcess.<init>(UNIXProcess.java:164) at java.lang.ProcessImpl.start(ProcessImpl.java:81) at java.lang.ProcessBuilder.start(ProcessBuilder.java:467) ... 4 more Configuration of the system: [root@newton sisma-acquirer]# java -version java version "1.6.0_0" OpenJDK Runtime Environment (IcedTea6 1.5) (fedora-18.b16.fc10-i386) OpenJDK Client VM (build 14.0-b15, mixed mode) [root@newton sisma-acquirer]# cat /etc/fedora-release Fedora release 10 (Cambridge) EDIT: Solution This solves my problem, I don't know exactly why: echo 0 /proc/sys/vm/overcommit_memory Up-votes for who is able to explain :) Additional informations, top output: top - 13:35:38 up 40 min, 2 users, load average: 0.43, 0.19, 0.12 Tasks: 129 total, 1 running, 128 sleeping, 0 stopped, 0 zombie Cpu(s): 1.5%us, 0.5%sy, 0.0%ni, 94.8%id, 3.2%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 1033456k total, 587672k used, 445784k free, 51672k buffers Swap: 2031608k total, 0k used, 2031608k free, 188108k cached Additional informations, free output: [root@newton sisma-acquirer]# free total used free shared buffers cached Mem: 1033456 588548 444908 0 51704 188292 -/+ buffers/cache: 348552 684904 Swap: 2031608 0 2031608

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  • C# Silverlight - Delay Child Window Load?!

    - by Goober
    The Scenario Currently I have a C# Silverlight Application That uses the domainservice class and the ADO.Net Entity Framework to communicate with my database. I want to load a child window upon clicking a button with some data that I retrieve from a server-side query to the database. The Process The first part of this process involves two load operations to load separate data from 2 tables. The next part of the process involves combining those lists of data to display in a listbox. The Problem The problem with this is that the first two asynchronous load operations haven't returned the data by the time the section of code to combine these lists of data is reached, thus result in a null value exception..... Initial Load Operations To Get The Data: public void LoadAudits(Guid jobID) { var context = new InmZenDomainContext(); var imageLoadOperation = context.Load(context.GetImageByIDQuery(jobID)); imageLoadOperation.Completed += (sender3, e3) => { imageList = ((LoadOperation<InmZen.Web.Image>)sender3).Entities.ToList(); }; var auditLoadOperation = context.Load(context.GetAuditByJobIDQuery(jobID)); auditLoadOperation.Completed += (sender2, e2) => { auditList = ((LoadOperation<Audit>)sender2).Entities.ToList(); }; } I Then Want To Execute This Immediately: IEnumerable<JobImageAudit> jobImageAuditList = from a in auditList join ai in imageList on a.ImageID equals ai.ImageID select new JobImageAudit { JobID = a.JobID, ImageID = a.ImageID.Value, CreatedBy = a.CreatedBy, CreatedDate = a.CreatedDate, Comment = a.Comment, LowResUrl = ai.LowResUrl, }; auditTrailList.ItemsSource = jobImageAuditList; However I can't because the async calls haven't returned with the data yet... Thus I have to do this (Perform the Load Operations, Then Press A Button On The Child Window To Execute The List Concatenation and binding): private void LoadAuditsButton_Click(object sender, RoutedEventArgs e) { IEnumerable<JobImageAudit> jobImageAuditList = from a in auditList join ai in imageList on a.ImageID equals ai.ImageID select new JobImageAudit { JobID = a.JobID, ImageID = a.ImageID.Value, CreatedBy = a.CreatedBy, CreatedDate = a.CreatedDate, Comment = a.Comment, LowResUrl = ai.LowResUrl, }; auditTrailList.ItemsSource = jobImageAuditList; } Potential Ideas for Solutions: Delay the child window displaying somehow? Potentially use DomainDataSource and the Activity Load control?! Any thoughts, help, solutions, samples comments etc. greatly appreciated.

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  • What are the reasons why the CPU usage doesn’t go 100% with C# and APM?

    - by Martin
    I have an application which is CPU intensive. When the data is processed on a single thread, the CPU usage goes to 100% for many minutes. So the performance of the application appears to be bound by the CPU. I have multithreaded the logic of the application, which result in an increase of the overall performance. However, the CPU usage hardly goes above 30%-50%. I would expect the CPU (and the many cores) to go to 100% since I process many set of data at the same time. Below is a simplified example of the logic I use to start the threads. When I run this example, the CPU goes to 100% (on an 8/16 cores machine). However, my application which uses the same pattern doesn’t. public class DataExecutionContext { public int Counter { get; set; } // Arrays of data } static void Main(string[] args) { // Load data from the database into the context var contexts = new List<DataExecutionContext>(100); for (int i = 0; i < 100; i++) { contexts.Add(new DataExecutionContext()); } // Data loaded. Start to process. var latch = new CountdownEvent(contexts.Count); var processData = new Action<DataExecutionContext>(c => { // The thread doesn't access data from a DB, file, // network, etc. It reads and write data in RAM only // (in its context). for (int i = 0; i < 100000000; i++) c.Counter++; }); foreach (var context in contexts) { processData.BeginInvoke(context, new AsyncCallback(ar => { latch.Signal(); }), null); } latch.Wait(); } I have reduced the number of locks to the strict minimum (only the latch is locking). The best way I found was to create a context in which a thread can read/write in memory. Contexts are not shared among other threads. The threads can’t access the database, files or network. In other words, I profiled my application and I didn’t find any bottleneck. Why the CPU usage of my application doesn’t go about 50%? Is it the pattern I use? Should I create my own thread instead of using the .Net thread pool? Is there any gotchas? Is there any tool that you could recommend me to find my issue? Thanks!

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  • GoogleAppEngine : possible to disable FileUpload?

    - by James.Elsey
    Hi, When I deploy my application to GoogleAppEngine I keep getting the following error Uncaught exception from servlet java.lang.NoClassDefFoundError: java.io.FileOutputStream is a restricted class. Please see the Google App Engine developer's guide for more details. at com.google.apphosting.runtime.security.shared.stub.java.io.FileOutputStream.<clinit>(FileOutputStream.java) at org.apache.log4j.FileAppender.setFile(FileAppender.java:289) at org.apache.log4j.FileAppender.activateOptions(FileAppender.java:163) at org.apache.log4j.config.PropertySetter.activate(PropertySetter.java:256) at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:132) at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:96) at org.apache.log4j.PropertyConfigurator.parseAppender(PropertyConfigurator.java:654) at org.apache.log4j.PropertyConfigurator.parseCategory(PropertyConfigurator.java:612) at org.apache.log4j.PropertyConfigurator.configureRootCategory(PropertyConfigurator.java:509) at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:415) at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:441) at org.apache.log4j.helpers.OptionConverter.selectAndConfigure(OptionConverter.java:468) at org.apache.log4j.LogManager.<clinit>(LogManager.java:122) at org.slf4j.impl.Log4jLoggerFactory.getLogger(Log4jLoggerFactory.java:73) at org.slf4j.LoggerFactory.getLogger(LoggerFactory.java:88) at org.apache.commons.logging.impl.SLF4JLogFactory.getInstance(SLF4JLogFactory.java:155) at org.apache.commons.logging.impl.SLF4JLogFactory.getInstance(SLF4JLogFactory.java:131) at org.apache.commons.logging.LogFactory.getLog(LogFactory.java:685) at org.springframework.web.context.ContextLoader.<clinit>(ContextLoader.java:146) at org.springframework.web.context.ContextLoaderListener.createContextLoader(ContextLoaderListener.java:53) at org.springframework.web.context.ContextLoaderListener.contextInitialized(ContextLoaderListener.java:44) at org.mortbay.jetty.handler.ContextHandler.startContext(ContextHandler.java:548) at org.mortbay.jetty.servlet.Context.startContext(Context.java:136) at org.mortbay.jetty.webapp.WebAppContext.startContext(WebAppContext.java:1250) at org.mortbay.jetty.handler.ContextHandler.doStart(ContextHandler.java:517) at org.mortbay.jetty.webapp.WebAppContext.doStart(WebAppContext.java:467) at org.mortbay.component.AbstractLifeCycle.start(AbstractLifeCycle.java:50) at com.google.apphosting.runtime.jetty.AppVersionHandlerMap.createHandler(AppVersionHandlerMap.java:191) at com.google.apphosting.runtime.jetty.AppVersionHandlerMap.getHandler(AppVersionHandlerMap.java:168) at com.google.apphosting.runtime.jetty.JettyServletEngineAdapter.serviceRequest(JettyServletEngineAdapter.java:123) at com.google.apphosting.runtime.JavaRuntime.handleRequest(JavaRuntime.java:243) at com.google.apphosting.base.RuntimePb$EvaluationRuntime$6.handleBlockingRequest(RuntimePb.java:5485) at com.google.apphosting.base.RuntimePb$EvaluationRuntime$6.handleBlockingRequest(RuntimePb.java:5483) at com.google.net.rpc.impl.BlockingApplicationHandler.handleRequest(BlockingApplicationHandler.java:24) at com.google.net.rpc.impl.RpcUtil.runRpcInApplication(RpcUtil.java:398) at com.google.net.rpc.impl.Server$2.run(Server.java:852) at com.google.tracing.LocalTraceSpanRunnable.run(LocalTraceSpanRunnable.java:56) at com.google.tracing.LocalTraceSpanBuilder.internalContinueSpan(LocalTraceSpanBuilder.java:536) at com.google.net.rpc.impl.Server.startRpc(Server.java:807) at com.google.net.rpc.impl.Server.processRequest(Server.java:369) at com.google.net.rpc.impl.ServerConnection.messageReceived(ServerConnection.java:442) at com.google.net.rpc.impl.RpcConnection.parseMessages(RpcConnection.java:319) at com.google.net.rpc.impl.RpcConnection.dataReceived(RpcConnection.java:290) at com.google.net.async.Connection.handleReadEvent(Connection.java:474) at com.google.net.async.EventDispatcher.processNetworkEvents(EventDispatcher.java:831) at com.google.net.async.EventDispatcher.internalLoop(EventDispatcher.java:207) at com.google.net.async.EventDispatcher.loop(EventDispatcher.java:103) at com.google.net.rpc.RpcService.runUntilServerShutdown(RpcService.java:251) at com.google.apphosting.runtime.JavaRuntime$RpcRunnable.run(JavaRuntime.java:404) at java.lang.Thread.run(Unknown Source) I've checked the documentation and it suggests to create a FileUpload class, since I won't be uploading files/documents etc from my application, is this necessary? Is there a way to disable this functionality, or at least bypass this error? I have already provided implementation for a MultipartWrapperFactory.Class as that has been suggested from searching for this error Thanks

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  • When constructing a Bitmap with Bitmap.FromHbitmap(), how soon can the original bitmap handle be del

    - by GBegen
    From the documentation of Image.FromHbitmap() at http://msdn.microsoft.com/en-us/library/k061we7x%28VS.80%29.aspx : The FromHbitmap method makes a copy of the GDI bitmap; so you can release the incoming GDI bitmap using the GDIDeleteObject method immediately after creating the new Image. This pretty explicitly states that the bitmap handle can be immediately deleted with DeleteObject as soon as the Bitmap instance is created. Looking at the implementation of Image.FromHbitmap() with Reflector, however, shows that it is a pretty thin wrapper around the GDI+ function, GdipCreateBitmapFromHBITMAP(). There is pretty scant documentation on the GDI+ flat functions, but http://msdn.microsoft.com/en-us/library/ms533971%28VS.85%29.aspx says that GdipCreateBitmapFromHBITMAP() corresponds to the Bitmap::Bitmap() constructor that takes an HBITMAP and an HPALETTE as parameters. The documentation for this version of the Bitmap::Bitmap() constructor at http://msdn.microsoft.com/en-us/library/ms536314%28VS.85%29.aspx has this to say: You are responsible for deleting the GDI bitmap and the GDI palette. However, you should not delete the GDI bitmap or the GDI palette until after the GDI+ Bitmap::Bitmap object is deleted or goes out of scope. Do not pass to the GDI+ Bitmap::Bitmap constructor a GDI bitmap or a GDI palette that is currently (or was previously) selected into a device context. Furthermore, one can see the source code for the C++ portion of GDI+ in GdiPlusBitmap.h that the Bitmap::Bitmap() constructor in question is itself a wrapper for the GdipCreateBitmapFromHBITMAP() function from the flat API: inline Bitmap::Bitmap( IN HBITMAP hbm, IN HPALETTE hpal ) { GpBitmap *bitmap = NULL; lastResult = DllExports::GdipCreateBitmapFromHBITMAP(hbm, hpal, &bitmap); SetNativeImage(bitmap); } What I can't easily see is the implementation of GdipCreateBitmapFromHBITMAP() that is the core of this functionality, but the two remarks in the documentation seem to be contradictory. The .Net documentation says I can delete the bitmap handle immediately, and the GDI+ documentation says the bitmap handle must be kept until the wrapping object is deleted, but both are based on the same GDI+ function. Furthermore, the GDI+ documentation warns against using a source HBITMAP that is currently or previously selected into a device context. While I can understand why the bitmap should not be selected into a device context currently, I do not understand why there is a warning against using a bitmap that was previously selected into a device context. That would seem to prevent use of GDI+ bitmaps that had been created in memory using standard GDI. So, in summary: Does the original bitmap handle need to be kept around until the .Net Bitmap object is disposed? Does the GDI+ function, GdipCreateBitmapFromHBITMAP(), make a copy of the source bitmap or merely hold onto the handle to the original? Why should I not use an HBITMAP that was previously selected into a device context?

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  • NRF Online Merchandising Workshop: Where Online Retailers Are Focusing for Holiday and Beyond

    - by Rose Spicer-Oracle
    0 0 1 1204 6863 Oracle Corporation 57 16 8051 14.0 Normal 0 false false false EN-US JA 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-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} Last month we attended the NRF Online Merchandising Workshop in LA, and it was a great opportunity to catch up with our customers, meet new retailers, and hear some great presentations from VF Corporation, Zazzle, Julep Beauty, Backcountry, eBags and more. The one-on-one conversations with Merchants and the keynote presentations carry the same themes across companies of all sizes and across verticals. With only 125 days left (and counting) until Black Friday, these conversations provided some great insight in to what’s top of mind for retailers during the most stressful time of their year, and a sneak peek in to what they will deliver this holiday season.  Some of the most popular topics were: When to start promoting for holiday: seems like a funny conversation to have in July, but a number of retailers said they already had their holiday shopping gift guides live on their site, and it was attracting a significant portion of their onsite traffic. When it comes to timing, most retailers were questioning when to begin their holiday promotions -- carefully balancing when to release pricing and specials, and knowing that customers are holding out for last-minute deals and price drops. Many retailers noted the frustrations around transparent pricing by Amazon and a few other mega-retailers last year, publishing their “lowest prices of the season” as early as October – ensuring shoppers that those prices were the best they could get all season long. Many retailers felt their hands were forced to drop prices. Others kept their set pricing with negative customer reaction, causing some to miss their holiday goals. The pressure is on, and most retailers identified November 1 as their target start date for the holiday promotions blitz. Some are even waiting for the big guys to release their “lowest prices of the season” guides and will then follow suit.      Attribution is tough – and a huge focus: understanding the path to conversion is a tough nut to crack, especially in the new omnichannel world where consumers use multiple touchpoints to make a single purchase, and internal management wants to know hard data. This has lead many retailers to invest in attribution; carefully tracking their online marketing efforts to determine what gets “credit” for the sale, instead of giving credit to the “last click.” Retailers noted that it is very difficult to determine the numbers when online and offline worlds collide – like when a shopper uses digital channels for research and then makes a purchase in a store. As one of the presenters from The North Face mentioned in her keynote, a key to enabling better customer service and satisfaction when it comes to converged online and offline sales is training the in-store staff, and creating a culture where it eventually “doesn’t matter what group gets the credit” if they all add to the sale. No doubt, the area of attribution will be a big area of retail investment in the coming years.      How to plan for the converged world: planning to ensure inventory gets where it needs to be was another concern. In conversations with retailers, we advised them to analyze customer patterns: where shoppers purchase items, where the items were sourced from and even where items are returned. This analysis is very valuable in determining inventory plans. From there, retailers can more accurately plan and allocate inventory to support both the online and offline customer behavior. As we head into the holiday season, the need for accurate enterprise-wide inventory visibility, and providing that information to associates, is even more critical to the brand-wide customer experience.       Improving the search / navigation / usability of the site(s): Aside from some of the big ideas and standard holiday pricing pressure, most conversations we had centered around continuing to improve the basics of the site. Reinvesting in search and navigation came up time and time again (FitForCommerce blogged about what a big topic it was at the event as well). Obviously getting shoppers on their path quickly and allowing them to find what they need fast is critical, but it was definitely interesting to hear just how much effort is still going in to honing the search and navigation experience. Adding new elements to search and navigation like typeahed, inventive navigation refinements, and new navigation categories like gift guides, specialized boutiques and flash sales were top of mind, in addition to searchandising and making search-driven product recommendations. (Oracle can help!)       Reducing cart abandonment: always a hot topic that is top of mind for every online retailer. Getting shoppers to the cart is often less then half the battle; getting them to click “buy” and complete the transaction is much more difficult. While retailers carefully study the checkout process and where shoppers tend to bounce, they know that how they design their checkout page is critical. We’re all online shoppers in our personal lives and we know how frustrating it can be when total prices are not transparent (i.e. shipping, processing, taxes is not included until the very last possible screen before clicking that buy button). Online retailers are struggling with where in the checkout process to surface the total price to be charged to reduce cart abandonment, while not showing the total figure too early in the process that it keeps shoppers from getting to checkout altogether. Recent research shows that providing total pricing prior to the checkout process dramatically reduces cart abandonment – as it serves as a filter to those shopping within a specific price band. Much of the cart abandonment discussion leads us to…       The free shipping / free returns question: it’s no secret that because of Amazon and programs like Prime, consumers expect free shipping, much to the chagrin of the smaller retailer. The reality is that if you’re not a mega-retailer, shipping is an expensive part of doing business that doesn’t allow most retailers to keep their prices low and offer free shipping. This has many retailers venturing out on the “free returns” path, especially in apparel. A number of retailers we spoke with are testing a flat rate shipping fee with free returns to see if they can crack the price threshold where shoppers are willing to pay for shipping with an added service. But, free shipping remains king.      Social ads and retargeting: they are working, but do they turn off consumers? That’s the big question. Every retailer we spoke with during a roundtable on the topic said that social ads and retargeting (where that pair of boots you’re been eyeing on a site magically follows you around the Internet) work and are meeting campaign goals. The larger question many retailers are asking is if this type of tactic is turning off a large number of shoppers, even if these campaigns are meeting their early goals. Retailers also mentioned that Facebook ads are working very well for them, especially when it comes to new customer acquisition, serving as a complimentary a channel to SEO when it comes to engaging new customers. While there are always new things to experiment with in retail, standard challenges are top of mind as retailers scramble to get ready for holiday. It will undoubtedly be another record-breaking online shopping season, but as retailers get more and more advanced with each Black Friday, expect some exciting things. This excitement needs to be backed by sound solutions and optimized operations. Then again, consumers are expecting more than ever, so I don’t doubt that retailers are already thinking about the possibilities of holiday 2015… and beyond. Customers who read this article, also found value in the following stories: Personalization for Retail: http://blogs.oracle.com/retail/entry/personalization_for_retailShop Direct User Experience Focus Drives Sales:https://blogs.oracle.com/retail/entry/shop_direct_user_experience_focusMaking Waves: Australian Online Retailer SurfStitch: https://blogs.oracle.com/oracleretail/entry/surf_stitchWhat’s new in Oracle Commerce v11.1 for RetailWhat the Content+Commerce Equation is Missing

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  • Clickable widgets in android

    - by Leif Andersen
    The developer documentation has seemed to have failed me here. I can create a static widget without thinking, I can even create a widget like the analogue clock widget that will update itself, however, I can not for the life of me figure out how to create a widget that reacts to when a user clicks on it. Here is the best code sample that the developer documentation gives to what a widget activity should contain (the only other hint being the API demos, which only creates a static widget): public class ExampleAppWidgetProvider extends AppWidgetProvider { public void onUpdate(Context context, AppWidgetManager appWidgetManager, int[] appWidgetIds) { final int N = appWidgetIds.length; // Perform this loop procedure for each App Widget that belongs to this provider for (int i=0; i<N; i++) { int appWidgetId = appWidgetIds[i]; // Create an Intent to launch ExampleActivity Intent intent = new Intent(context, ExampleActivity.class); PendingIntent pendingIntent = PendingIntent.getActivity(context, 0, intent, 0); // Get the layout for the App Widget and attach an on-click listener to the button RemoteViews views = new RemoteViews(context.getPackageName(), R.layout.appwidget_provider_layout); views.setOnClickPendingIntent(R.id.button, pendingIntent); // Tell the AppWidgetManager to perform an update on the current App Widget appWidgetManager.updateAppWidget(appWidgetId, views); } } } from: The Android Developer Documentation's Widget Page So, it looks like pending intent is called when the widget is clicked, which is based off of an intent (I'm not quite sure what the difference between an intent and a pending intent is), and the intent is for the ExampleActivity class. So I made my sample activity class a simple activity that when created, would create a mediaplayer object, and start it (it wouldn't ever release the object, so it would eventually crash, here is it's code: @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); MediaPlayer mp = MediaPlayer.create(getApplicationContext(), R.raw.sound); mp.start(); } However, when I added the widget to the home screen, and clicked on it, nothing played, in fact, nothing played when I set the update timer to just a few hundred milliseconds (in the appwidget provider xml file). Furthermore, I set break points and found out that not only was it never reaching the activity, but no break points I set would ever get triggered. (I still haven't figured out why that is), however, logcat seemed to indicate that the activity class file was being run. So, is there anything I can do to get an appwidget to respond to a click? As the onClickPendingIntent() method is the closest I have found to a onClick type of method. Thank you very much.

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  • Ingredient Substitutes while Baking

    - by Rekha
    In our normal cooking, we substitute the vegetables for the gravies we prepare. When we start baking, we look for a good recipe. At least one or two ingredient will be missing. We do not know where to substitute what to bring same output. So we finally drop the plan of baking. Again after a month, we get the interest in baking. Again one or two lack of ingredient and that’s it. We keep on doing this for months. When I was going through the cooking blogs, I came across a site with the Ingredient Substitutes for Baking: (*) is to indicate that this substitution is ideal from personal experience. Flour Substitutes ( For 1 cup of Flour) All Purpose Flour 1/2 cup white cake flour plus 1/2 cup whole wheat flour 1 cup self-rising flour (omit using salt and baking powder if the recipe calls for it since self raising flour has it already) 1 cup plus 2 tablespoons cake flour 1/2 cup (75 grams) whole wheat flour 7/8 cup (130 grams) rice flour (starch) (do not replace all of the flour with the rice flour) 7/8 cup whole wheat Bread Flour 1 cup all purpose flour 1 cup all purpose flour plus 1 teaspoon wheat gluten (*) Cake Flour Place 2 tbsp cornstarch in 1 cup and fill the rest up with All Purpose flour (*) 1 cup all purpose flour minus 2 tablespoons Pastry flour Place 2 tbsp cornstarch in 1 cup and fill the rest up with All Purpose flour Equal parts of All purpose flour plus cake flour (*) Self-rising Flour 1½ teaspoons of baking powder plus ½ teaspoon of salt plus 1 cup of all-purpose flour. Cornstarch (1 tbsp) 2 tablespoons all-purpose flour 1 tablespoon arrowroot 4 teaspoons quick-cooking tapioca 1 tablespoon potato starch or rice starch or flour Tapioca (1 tbsp) 1 – 1/2 tablespoons all-purpose flour Cornmeal (stone ground) polenta OR corn flour (gives baked goods a lighter texture) if using cornmeal for breading,crush corn chips in a blender until they have the consistency of cornmeal. maize meal Corn grits Sweeteners ( for Every 1 cup ) * * (HV) denotes Healthy Version for low fat or fat free substitution in Baking Light Brown Sugar 2 tablespoons molasses plus 1 cup of white sugar Dark Brown Sugar 3 tablespoons molasses plus 1 cup of white sugar Confectioner’s/Powdered Sugar Process 1 cup sugar plus 1 tablespoon cornstarch Corn Syrup 1 cup sugar plus 1/4 cup water 1 cup Golden Syrup 1 cup honey (may be little sweeter) 1 cup molasses Golden Syrup Combine two parts light corn syrup plus one part molasses 1/2 cup honey plus 1/2 cup corn syrup 1 cup maple syrup 1 cup corn syrup Honey 1- 1/4 cups sugar plus 1/4 cup water 3/4 cup maple syrup plus 1/2 cup granulated sugar 3/4 cup corn syrup plus 1/2 cup granulated sugar 3/4 cup light molasses plus 1/2 cup granulated white sugar 1 1/4 cups granulated white or brown sugar plus 1/4 cup additional liquid in recipe plus 1/2 teaspoon cream of tartar Maple Syrup 1 cup honey,thinned with water or fruit juice like apple 3/4 cup corn syrup plus 1/4 cup butter 1 cup Brown Rice Syrup 1 cup Brown sugar (in case of cereals) 1 cup light molasses (on pancakes, cereals etc) 1 cup granulated sugar for every 3/4 cup of maple syrup and increase liquid in the recipe by 3 tbsp for every cup of sugar.If baking soda is used, decrease the amount by 1/4 teaspoon per cup of sugar substituted, since sugar is less acidic than maple syrup Molasses 1 cup honey 1 cup dark corn syrup 1 cup maple syrup 3/4 cup brown sugar warmed and dissolved in 1/4 cup of liquid ( use this if taste of molasses is important in the baked good) Cocoa Powder (Natural, Unsweetened) 3 tablespoons (20 grams) Dutch-processed cocoa plus 1/8 teaspoon cream of tartar, lemon juice or white vinegar 1 ounce (30 grams) unsweetened chocolate (reduce fat in recipe by 1 tablespoon) 3 tablespoons (20 grams) carob powder Semisweet baking chocolate (1 oz) 1 oz unsweetened baking chocolate plus 1 Tbsp sugar Unsweetened baking chocolate (1 oz ) 3 Tbsp baking cocoa plus 1 Tbsp vegetable oil or melted shortening or margarine Semisweet chocolate chips (1 cup) 6 oz semisweet baking chocolate, chopped (Alternatively) For 1 cup of Semi sweet chocolate chips you can use : 6 tablespoons unsweetened cocoa powder, 7 tablespoons sugar ,1/4 cup fat (butter or oil) Leaveners and Diary * * (HV) denotes Healthy Version for low fat or fat free substitution in Baking Compressed Yeast (1 cake) 1 envelope or 2 teaspoons active dry yeast 1 packet (1/4 ounce) Active Dry yeast 1 cake fresh compressed yeast 1 tablespoon fast-rising active yeast Baking Powder (1 tsp) 1/3 teaspoon baking soda plus 1/2 teaspoon cream of tartar 1/2 teaspoon baking soda plus 1/2 cup buttermilk or plain yogurt 1/4 teaspoon baking soda plus 1/3 cup molasses. When using the substitutions that include liquid, reduce other liquid in recipe accordingly Baking Soda(1 tsp) 3 tsp Baking Powder ( and reduce the acidic ingredients in the recipe. Ex Instead of buttermilk add milk) 1 tsp potassium bicarbonate Ideal substitution – 2 tsp Baking powder and omit salt in recipe Cream of tartar (1 tsp) 1 teaspoon white vinegar 1 tsp lemon juice Notes from What’s Cooking America – If cream of tartar is used along with baking soda in a cake or cookie recipe, omit both and use baking powder instead. If it calls for baking soda and cream of tarter, just use baking powder.Normally, when cream of tartar is used in a cookie, it is used together with baking soda. The two of them combined work like double-acting baking powder. When substituting for cream of tartar, you must also substitute for the baking soda. If your recipe calls for baking soda and cream of tarter, just use baking powder. One teaspoon baking powder is equivalent to 1/4 teaspoon baking soda plus 5/8 teaspoon cream of tartar. If there is additional baking soda that does not fit into the equation, simply add it to the batter. Buttermilk (1 cup) 1 tablespoon lemon juice or vinegar (white or cider) plus enough milk to make 1 cup (let stand 5-10 minutes) 1 cup plain or low fat yogurt 1 cup sour cream 1 cup water plus 1/4 cup buttermilk powder 1 cup milk plus 1 1/2 – 1 3/4 teaspoons cream of tartar Plain Yogurt (1 cup) 1 cup sour cream 1 cup buttermilk 1 cup crème fraiche 1 cup heavy whipping cream (35% butterfat) plus 1 tablespoon freshly squeezed lemon juice Whole Milk (1 cup) 1 cup fat free milk plus 1 tbsp unsaturated Oil like canola (HV) 1 cup low fat milk (HV) Heavy Cream (1 cup) 3/4 cup milk plus 1/3 cup melted butter.(whipping wont work) Sour Cream (1 cup) (pls refer also Substitutes for Fats in Baking below) 7/8 cup buttermilk or sour milk plus 3 tablespoons butter. 1 cup thickened yogurt plus 1 teaspoon baking soda. 3/4 cup sour milk plus 1/3 cup butter. 3/4 cup buttermilk plus 1/3 cup butter. Cooked sauces: 1 cup yogurt plus 1 tablespoon flour plus 2 teaspoons water. Cooked sauces: 1 cup evaporated milk plus 1 tablespoon vinegar or lemon juice. Let stand 5 minutes to thicken. Dips: 1 cup yogurt (drain through a cheesecloth-lined sieve for 30 minutes in the refrigerator for a thicker texture). Dips: 1 cup cottage cheese plus 1/4 cup yogurt or buttermilk, briefly whirled in a blender. Dips: 6 ounces cream cheese plus 3 tablespoons milk,briefly whirled in a blender. Lower fat: 1 cup low-fat cottage cheese plus 1 tablespoon lemon juice plus 2 tablespoons skim milk, whipped until smooth in a blender. Lower fat: 1 can chilled evaporated milk whipped with 1 teaspoon lemon juice. 1 cup plain yogurt plus 1 tablespoon cornstarch 1 cup plain nonfat yogurt Substitutes for Fats in Baking * * (HV) denoted Healthy Version for low fat or fat free substitution in Baking Butter (1 cup) 1 cup trans-free vegetable shortening 3/4 cups of vegetable oil (example. Canola oil) Fruit purees (example- applesauce, pureed prunes, baby-food fruits). Add it along with some vegetable oil and reduce any other sweeteners needed in the recipe since fruit purees are already sweet. 1 cup polyunsaturated margarine (HV) 3/4 cup polyunsaturated oil like safflower oil (HV) 1 cup mild olive oil (not extra virgin)(HV) Note: Butter creates the flakiness and the richness which an oil/purees cant provide. If you don’t want to compromise that much to taste, replace half the butter with the substitutions. Shortening(1 cup) 1 cup polyunsaturated margarine like Earth Balance or Smart Balance(HV) 1 cup + 2tbsp Butter ( better tasting than shortening but more expensive and has cholesterol and a higher level of saturated fat; makes cookies less crunchy, bread crusts more crispy) 1 cup + 2 tbsp Margarine (better tasting than shortening but more expensive; makes cookies less crunchy, bread crusts tougher) 1 Cup – 2tbsp Lard (Has cholesterol and a higher level of saturated fat) Oil equal amount of apple sauce stiffly beaten egg whites into batter equal parts mashed banana equal parts yogurt prune puree grated raw zucchini or seeds removed if cooked. Works well in quick breads/muffins/coffee cakes and does not alter taste pumpkin puree (if the recipe can handle the taste change) Low fat cottage cheese (use only half of the required fat in the recipe). Can give rubbery texture to the end result Silken Tofu – (use only half of the required fat in the recipe). Can give rubbery texture to the end result Equal parts of fruit juice Note: Fruit purees can alter the taste of the final product is used in large quantities. Cream Cheese (1 cup) 4 tbsps. margarine plus 1 cup low-fat cottage cheese – blended. Add few teaspoons of fat-free milk if needed (HV) Heavy Cream (1 cup) 1 cup evaporated skim milk (or full fat milk) 1/2 cup low fat Yogurt plus 1/2 low fat Cottage Cheese (HV) 1/2 cup Yogurt plus 1/2 Cottage Cheese Sour Cream (1 cup) 1 cup plain yogurt (HV) 3/4 cup buttermilk or plain yogurt plus 1/3 cup melted butter 1 cup crème fraiche 1 tablespoon lemon juice or vinegar plus enough whole milk to fill 1 cup (let stand 5-10 minutes) 1/2 cup low-fat cottage cheese plus 1/2 cup low-fat or nonfat yogurt (HV) 1 cup fat-free sour cream (HV) Note: How to Make Maple Syrup Substitute at home For 1 Cup Maple Syrup 1/2 cup granulated sugar 1 cup brown sugar, firmly packed 1 cup boiling water 1 teaspoon butter 1 teaspoon maple extract or vanilla extract Method In a heavy saucepan, place the granulated sugar and keep stirring until it melts and turns slightly brown. Alternatively in another pan, place brown sugar and water and bring to a boil without stirring. Now mix both the sugars and simmer in low heat until they come together as one thick syrup. Remove from heat, add butter and the extract. Use this in place of maple syrup. Store it in a fridge in an air tight container. Even though this was posted in their site long back, I found it helpful. So posting it for you. via chefinyou . cc image credit: flickr/zetrules

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  • iPhone Key-Value Observer: observer not registering in UITableViewController

    - by Scott
    Hi Fellow iPhone Developers, I am an experienced software engineer but new to the iPhone platform. I have successfully implemented sub-classed view controllers and can push and pop parent/child views on the view controller stack. However, I have struck trouble while trying to update a view controller when an object is edited in a child view controller. After much failed experimentation, I discovered the key-value observer API which looked like the perfect way to do this. I then registered an observer in my main/parent view controller, and in the observer I intend to reload the view. The idea is that when the object is edited in the child view controller, this will be fired. However, I think that the observer is not being registered, because I know that the value is being updated in the editing view controller (I can see it in the debugger), but the observing method is never being called. Please help! Code snippets follow below. Object being observed. I believe that this is key-value compliant as the value is set when called with the setvalue message (see Child View Controller below). X.h: @interface X : NSObject <NSCoding> { NSString *name; ... @property (nonatomic, retain) NSString *name; X.m: @implementation X @synthesize name; ... Main View Controller.h: @class X; @interface XViewController : UITableViewController { X *x; ... Main View Controller.m: @implementation XViewController @synthesize x; ... - (void)viewDidLoad { ... [self.x addObserver:self forKeyPath: @"name" options: (NSKeyValueObservingOptionNew | NSKeyValueObservingOptionOld) context:nil]; [super viewDidLoad]; } ... - (void)observeValueForKeyPath:(NSString *)keyPath ofObject:(id)object change:(NSDictionary *)change context:(void *)context { if ([keyPath isEqual:@"name"]) { NSLog(@"Found change to X"); [self.tableView reloadData]; } [super observeValueForKeyPath:keyPath ofObject:object change:change context:context]; } Child View Controller.m: (this correctly sets the value in the object in the child view controller) [self.x setValue:[[tempValues objectForKey:key] text] forKey:@"name"];

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  • Good Project Organization Software

    - by QAH
    Hello everyone! I am really having a hard time trying to set a schedule with development of my game. I would do better and quicker development if I had some sort of schedule to go by. What are some good programs out there, desktop or web, that allow you to easily organize your project and set development goals and milestones? I would prefer options that are free in cost, but feel free to mention non-free programs also. Thanks alot

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  • PDFSharp: HTML to PDF in ASP.NET 3.5 using VB.NET

    You might have read the introductory tutorial on PDFSharp ASP.NET 3.5 PDF Creation Using the PDFSharp Library in VB.NET. The article showed a basic way to create a PDF file out of your ASP.NET 3.5 environment using VB.NET script and the PDFSharp library. In this tutorial you will learn how to use PDFSharp to convert your ASP.NET HTML rendered pages to a PDF document. This is particularly important in a production environment where you need to provide a PDF version of your website pages to your readers.... Microsoft? Cloud Power See How Companies are Using the Cloud to Cut Costs. Watch a Demo.

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  • Java web-app debugging not possible due to direct undeploy on debug

    - by Hendrik
    When i try to debug my webapp it starts up the tomcat server and the application, but shuts down the debugger shortly before the app gets usable. I see the debugging toolbar for a second before it vanishes again, though the app keeps running. Tomcat-log: Listening for transport dt_socket at address: 11555 23.03.2010 01:24:35 org.apache.catalina.core.AprLifecycleListener init INFO: The APR based Apache Tomcat Native library which allows optimal performance in production environments was not found on the java.library.path: .:/Library/Java/Extensions:/System/Library/Java/Extensions:/usr/lib/java 23.03.2010 01:24:35 org.apache.coyote.http11.Http11Protocol init INFO: Initializing Coyote HTTP/1.1 on http-8084 23.03.2010 01:24:35 org.apache.catalina.startup.Catalina load INFO: Initialization processed in 847 ms 23.03.2010 01:24:35 org.apache.catalina.core.StandardService start INFO: Starting service Catalina 23.03.2010 01:24:35 org.apache.catalina.core.StandardEngine start INFO: Starting Servlet Engine: Apache Tomcat/6.0.20 log4j:WARN No appenders could be found for logger (org.springframework.web.context.ContextLoader). log4j:WARN Please initialize the log4j system properly. 23.03.2010 01:24:41 org.apache.coyote.http11.Http11Protocol start INFO: Starting Coyote HTTP/1.1 on http-8084 23.03.2010 01:24:41 org.apache.jk.common.ChannelSocket init INFO: JK: ajp13 listening on /0.0.0.0:8009 23.03.2010 01:24:41 org.apache.jk.server.JkMain start INFO: Jk running ID=0 time=0/78 config=null 23.03.2010 01:24:41 org.apache.catalina.startup.Catalina start INFO: Server startup in 5855 ms 23.03.2010 01:24:42 org.apache.catalina.startup.HostConfig checkResources INFO: Undeploying context [] 23.03.2010 01:24:45 org.apache.catalina.core.StandardContext start INFO: Container org.apache.catalina.core.ContainerBase.[Catalina].[localhost].[/] has already been started Debugging log: Attached JPDA debugger to localhost:11555 Checking data source definitions for missing JDBC drivers... Deploying JDBC driver to /Applications/NetBeans/apache-tomcat-6.0.20/lib/mysql-connector-java-5.1.6-bin.jar Stopping Tomcat process... Waiting for Tomcat... Tomcat server stopped. Starting Tomcat process... Waiting for Tomcat... Tomcat server started. Undeploying ... OK - Undeployed application at context path / In-place deployment at /path/to/project/dir/build/web deploy?config=file%3A%2Fvar%2Ffolders%2FZP%2FZPbqxGrbHFaUlXzAfgWV1%2B%2B%2B%2BTQ%2F-Tmp-%2Fcontext734173871283203218.xml&path=/ OK - Deployed application at context path / start?path=/ Start is in progress... OK - Started application at context path / debug-display-browser: Browsing: http://localhost:8084/ connect-client-debugger: BUILD SUCCESSFUL (total time: 18 seconds) System is Netbeans 6.8 on MacOS 10.6.2. Thank you very much, guys!

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  • Microsoft Seeks Feedback on SQL Server Denali

    Dan Jones Principal Program Manager of Microsoft s SQL Server Manageability team recently created a blog post asking for feedback on three topics concerning SQL Server Code Name Denali. The feedback is essential to Jones and the Microsoft team as it helps them see how they can tweak the Denali adoption process to better suit user needs.... Display the VeriSign seal And increase sales by an average of 24%. Start your trial today

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  • How to crop or get a smaller size UIImage in iPhone without memory leaks?

    - by rkbang
    Hello all, I am using a navigation controller in which I push a tableview Controller as follows: TableView *Controller = [[TableView alloc] initWithStyle:UITableViewStylePlain]; [self.navigationController pushViewController:Controller animated:NO]; [Controller release]; In this table view I am using following two methods to display images: - (UIImage*) getSmallImage:(UIImage*) img { CGSize size = img.size; CGFloat ratio = 0; if (size.width < size.height) { ratio = 36 / size.width; } else { ratio = 36 / size.height; } CGRect rect = CGRectMake(0.0, 0.0, ratio * size.width, ratio * size.height); UIGraphicsBeginImageContext(rect.size); [img drawInRect:rect]; return UIGraphicsGetImageFromCurrentImageContext(); UIGraphicsEndImageContext(); } - (UIImage*)imageByCropping:(UIImage *)imageToCrop toRect:(CGRect)rect { //create a context to do our clipping in UIGraphicsBeginImageContext(rect.size); CGContextRef currentContext = UIGraphicsGetCurrentContext(); //create a rect with the size we want to crop the image to //the X and Y here are zero so we start at the beginning of our //newly created context CGFloat X = (imageToCrop.size.width - rect.size.width)/2; CGFloat Y = (imageToCrop.size.height - rect.size.height)/2; CGRect clippedRect = CGRectMake(X, Y, rect.size.width, rect.size.height); //CGContextClipToRect( currentContext, clippedRect); //create a rect equivalent to the full size of the image //offset the rect by the X and Y we want to start the crop //from in order to cut off anything before them CGRect drawRect = CGRectMake(0, 0, imageToCrop.size.width, imageToCrop.size.height); CGContextTranslateCTM(currentContext, 0.0, drawRect.size.height); CGContextScaleCTM(currentContext, 1.0, -1.0); //draw the image to our clipped context using our offset rect //CGContextDrawImage(currentContext, drawRect, imageToCrop.CGImage); CGImageRef tmp = CGImageCreateWithImageInRect(imageToCrop.CGImage, clippedRect); //pull the image from our cropped context UIImage *cropped = [UIImage imageWithCGImage:tmp];//UIGraphicsGetImageFromCurrentImageContext(); CGImageRelease(tmp); //pop the context to get back to the default UIGraphicsEndImageContext(); //Note: this is autoreleased*/ return cropped; } But when I pop the Controller, the memory being used is not released. Is there any leaks in the above code used to create and crop images. Also are there any efficient method to deal with images in iPhone. I am having a lot of images and facing major challeges in resolving the memory issues. tnx in advance.

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  • How to disable Mac OS X from using swap when there still is "Inactive" memory?

    - by Motin
    A common phenomena in my day to day usage (and several other's according to various posts throughout the internet) of OS X, the system seems to become slow whenever there is no more "Free" memory available. Supposedly, this is due to swapping, since heavy disk activity is apparent and that vm_stat reports many pageouts. (Correct me from wrong) However, the amount of "Inactive" ram is typically around 12.5%-25% of all available memory (^1.) when swapping starts/occurs/ends. According to http://support.apple.com/kb/ht1342 : Inactive memory This information in memory is not actively being used, but was recently used. For example, if you've been using Mail and then quit it, the RAM that Mail was using is marked as Inactive memory. This Inactive memory is available for use by another application, just like Free memory. However, if you open Mail before its Inactive memory is used by a different application, Mail will open quicker because its Inactive memory is converted to Active memory, instead of loading Mail from the slower hard disk. And according to http://developer.apple.com/library/mac/#documentation/Performance/Conceptual/ManagingMemory/Articles/AboutMemory.html : The inactive list contains pages that are currently resident in physical memory but have not been accessed recently. These pages contain valid data but may be released from memory at any time. So, basically: When a program has quit, it's memory becomes marked as Inactive and should be claimable at any time. Still, OS X will prefer to start swapping out memory to the Swap file instead of just claiming this memory, whenever the "Free" memory gets to low. Why? What is the advantage of this behavior over, say, instantly releasing Inactive memory and not even touch the swap file? Some sources (^2.) indicate that OS X would page out the "Inactive" memory to swap before releasing it, but that doesn't make sense now does it if the memory may be released from memory at any time? Swapping is expensive, releasing is cheap, right? Can this behavior be changed using some preference or known hack? (Preferably one that doesn't include disabling swap/dynamic_pager altogether and restarting...) I do appreciate the purge command, as well as the concept of Repairing disk permissions to force some Free memory, but those are ways to painfully force more Free memory than to actually fixing the swap/release decision logic... Btw a similar question was asked here: http://forums.macnn.com/90/mac-os-x/434650/why-does-os-x-swap-when/ and here: http://hintsforums.macworld.com/showthread.php?t=87688 but even though the OPs re-asked the core question, none of the replies addresses an answer to it... ^1. UPDATE 17-mar-2012 Since I first posted this question, I have gone from 4gb to 8gb of installed ram, and the problem remains. The amount of "Inactive" ram was 0.5gb-1.0gb before and is now typically around 1.0-2.0GB when swapping starts/occurs/ends, ie it seems that around 12.5%-25% of the ram is preserved as Inactive by osx kernel logic. ^2. For instance http://apple.stackexchange.com/questions/4288/what-does-it-mean-if-i-have-lots-of-inactive-memory-at-the-end-of-a-work-day : Once all your memory is used (free memory is 0), the OS will write out inactive memory to the swapfile to make more room in active memory. UPDATE 17-mar-2012 Here is a round-up of the methods that have been suggested to help so far: The purge command "Used to approximate initial boot conditions with a cold disk buffer cache for performance analysis. It does not affect anonymous memory that has been allocated through malloc, vm_allocate, etc". This is useful to prevent osx to swap-out the disk cache (which is ridiculous that osx actually does so in the first place), but with the downside that the disk cache is released, meaning that if the disk cache was not about to be swapped out, one would simply end up with a cold disk buffer cache, probably affecting performance negatively. The FreeMemory app and/or Repairing disk permissions to force some Free memory Doesn't help releasing any memory, only moving some gigabytes of memory contents from ram to the hd. In the end, this causes lots of swap-ins when I attempt to use the applications that were open while freeing memory, as a lot of its vm is now on swap. Speeding up swap-allocation using dynamicpagerwrapper Seems a good thing to do in order to speed up swap-usage, but does not address the problem of osx swapping in the first place while there is still inactive memory. Disabling swap by disabling dynamicpager and restarting This will force osx not to use swap to the price of the system hanging when all memory is used. Not a viable alternative... Disabling swap using a hacked dynamicpager Similar to disabling dynamicpager above, some excerpts from the comments to the blog post indicate that this is not a viable solution: "The Inactive Memory is high as usual". "when your system is running out of memory, the whole os hangs...", "if you consume the whole amount of memory of the mac, the machine will likely hang" To sum up, I am still unaware of a way of disabling Mac OS X from using swap when there still is "Inactive" memory. If it isn't possible, maybe at least there is an explanation somewhere of why osx prefers to swap out memory that may be released from memory at any time?

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  • Spring <jee:remote-slsb> and JBoss AS7 - No EJB receiver available for handling

    - by Lech Glowiak
    I have got @Remote EJB on JBoss AS 7, available by name java:global/RandomEjb/DefaultRemoteRandom!pl.lechglowiak.ejbTest.RemoteRandom. Standalone client is Spring application that uses <jee:remote-slsb> bean. When trying to use that bean I get java.lang.IllegalStateException: EJBCLIENT000025: No EJB receiver available for handling [appName:, moduleName:RandomEjb, distinctName:] combination for invocation context org.jboss.ejb.client.EJBClientInvocationContext@1a89031. Here is relevant part of applicationContext.xml: <jee:remote-slsb id="remoteRandom" jndi-name="RandomEjb/DefaultRemoteRandom!pl.lechglowiak.ejbTest.RemoteRandom" business-interface="pl.lechglowiak.ejbTest.RemoteRandom" <jee:environment> java.naming.factory.initial=org.jboss.naming.remote.client.InitialContextFactory java.naming.provider.url=remote://localhost:4447 jboss.naming.client.ejb.context=true java.naming.security.principal=testuser java.naming.security.credentials=testpassword </jee:environment> </jee:remote-slsb> <bean id="remoteClient" class="pl.lechglowiak.RemoteClient"> <property name="remote" ref="remoteRandom" /> </bean> RemoteClient.java public class RemoteClient { private RemoteRandom random; public void setRemote(RemoteRandom random){ this.random = random; } public Integer callRandom(){ try { return random.getRandom(100); } catch (Exception e) { e.printStackTrace(); return null; } } } My jboss client jar: org.jboss.as jboss-as-ejb-client-bom 7.1.2.Final pom pl.lechglowiak.ejbTest.RemoteRandom is available for client application classpath. jndi.properties contains exact properties as in <jee:environment> of <jee:remote-slsb>. Such code runs without exception: Context ctx2 = new InitialContext(); RemoteRandom rr = (RemoteRandom) ctx2.lookup("RandomEjb/DefaultRemoteRandom!pl.lechglowiak.ejbTest.RemoteRandom"); System.out.println(rr.getRandom(10000)); But this: ApplicationContext ctx = new ClassPathXmlApplicationContext("applicationContext.xml"); RemoteClient client = ctx.getBean("remoteClient", RemoteClient.class); System.out.println(client.callRandom()); ends with exception: java.lang.IllegalStateException: EJBCLIENT000025: No EJB receiver available for handling [appName:, moduleName:RandomEjb, distinctName:] combination for invocation context org.jboss.ejb.client.EJBClientInvocationContext@1a89031. jboss.naming.client.ejb.context=true is set. Do you have any idea what am I setting wrong in <jee:remote-slsb>?

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  • Workflows not starting after fresh install

    - by Greg McGuffey
    I just installed Dynamics CRM 4.0. It is working nicely except for workflows. They won't start. I turned on tracing and it appears that there is an IO error. The server is setup with IFD and SSL. No issues accessing it internally or externally. Here is the trace: # CRM Tracing Version 2.0 # LocalTime: 2010-06-08 11:34:58.2 # Categories: # CallStackOn: No # ComputerName: FOX-CRM1 # CRMVersion: 4.0.7333.2741 # DeploymentType: OnPremise # ScaleGroup: # ServerRole: AppServer, AsyncService, DiscoveryService, WebService, ApiServer, HelpServer, DeploymentService [2010-06-08 11:34:58.2] Process:CrmAsyncService |Organization:821a137e-7191-49a4-86cc-69101e2b6d20 |Thread: 24 |Category: Platform.Async |User: 00000000-0000-0000-0000-000000000000 |Level: Error | AsyncOperationCommand.Execute >Exception while trying to execute AsyncOperationId: {DF68F483-2C73-DF11-9A34-18A9053B7B38} AsyncOperationType: 1 - System.Net.WebException: The underlying connection was closed: An unexpected error occurred on a send. ---> System.IO.IOException: The handshake failed due to an unexpected packet format. at System.Net.Security.SslState.StartReadFrame(Byte[] buffer, Int32 readBytes, AsyncProtocolRequest asyncRequest) at System.Net.Security.SslState.StartReceiveBlob(Byte[] buffer, AsyncProtocolRequest asyncRequest) at System.Net.Security.SslState.CheckCompletionBeforeNextReceive(ProtocolToken message, AsyncProtocolRequest asyncRequest) at System.Net.Security.SslState.StartSendBlob(Byte[] incoming, Int32 count, AsyncProtocolRequest asyncRequest) at System.Net.Security.SslState.ForceAuthentication(Boolean receiveFirst, Byte[] buffer, AsyncProtocolRequest asyncRequest) at System.Net.Security.SslState.ProcessAuthentication(LazyAsyncResult lazyResult) at System.Net.TlsStream.CallProcessAuthentication(Object state) at System.Threading.ExecutionContext.Run(ExecutionContext executionContext, ContextCallback callback, Object state) at System.Net.TlsStream.ProcessAuthentication(LazyAsyncResult result) at System.Net.TlsStream.Write(Byte[] buffer, Int32 offset, Int32 size) at System.Net.PooledStream.Write(Byte[] buffer, Int32 offset, Int32 size) at System.Net.ConnectStream.WriteHeaders(Boolean async) --- End of inner exception stack trace --- at System.Web.Services.Protocols.WebClientProtocol.GetWebResponse(WebRequest request) at System.Web.Services.Protocols.HttpWebClientProtocol.GetWebResponse(WebRequest request) at System.Web.Services.Protocols.SoapHttpClientProtocol.Invoke(String methodName, Object[] parameters) at Microsoft.Crm.SdkTypeProxy.CrmService.Retrieve(String entityName, Guid id, ColumnSetBase columnSet) at Microsoft.Crm.Asynchronous.SdkTypeProxyCrmServiceWrapper.Retrieve(String entityName, Guid id, ColumnSetBase columnSet) at Microsoft.Crm.Asynchronous.SdkPluginDescriptionProvider.GetPluginTypeDescription(Guid pluginTypeId, IOrganizationContext context) at Microsoft.Crm.Caching.PluginTypeCacheLoader.LoadCacheData(Guid key, IOrganizationContext context) at Microsoft.Crm.Caching.CrmMultiOrgCache`2.CreateEntry(TKey key, IOrganizationContext context) at Microsoft.Crm.Caching.CrmSharedMultiOrgCache`2.LookupEntry(TKey key, IOrganizationContext context) at Microsoft.Crm.Caching.PluginTypeCache.LookupEntry(Guid pluginTypeId, IOrganizationContext context) at Microsoft.Crm.Asynchronous.AsyncOperationCommand.GetPluginType(Guid pluginTypeId) at Microsoft.Crm.Asynchronous.EventOperation.InternalExecute(AsyncEvent asyncEvent) at Microsoft.Crm.Asynchronous.AsyncOperationCommand.Execute(AsyncEvent asyncEvent) The only thing I've tried to to update the AsyncSdkRootDomain row in the Deployment table to match the ADSdkRootDomain and the ADApplicationRootDomain values. It was blank. That didn't appear to work. After some more research, I think this might be caused because the Asynch service can't access the SDK web services using SSL. If this is correct, how would one configure a CRM server for secure access, internal and external (IFD) and still allow asynch service to hit web site? Thanks for your help!

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  • Mercurial hook to disallow committing large binary files

    - by hekevintran
    I want to have a Mercurial hook that will run before committing a transaction that will abort the transaction if a binary file being committed is greater than 1 megabyte. I found the following code which works fine except for one problem. If my changeset involves removing a file, this hook will throw an exception. The hook (I'm using pretxncommit = python:checksize.newbinsize): from mercurial import context, util from mercurial.i18n import _ import mercurial.node as dpynode '''hooks to forbid adding binary file over a given size Ensure the PYTHONPATH is pointing where hg_checksize.py is and setup your repo .hg/hgrc like this: [hooks] pretxncommit = python:checksize.newbinsize pretxnchangegroup = python:checksize.newbinsize preoutgoing = python:checksize.nopull [limits] maxnewbinsize = 10240 ''' def newbinsize(ui, repo, node=None, **kwargs): '''forbid to add binary files over a given size''' forbid = False # default limit is 10 MB limit = int(ui.config('limits', 'maxnewbinsize', 10000000)) tip = context.changectx(repo, 'tip').rev() ctx = context.changectx(repo, node) for rev in range(ctx.rev(), tip+1): ctx = context.changectx(repo, rev) print ctx.files() for f in ctx.files(): fctx = ctx.filectx(f) filecontent = fctx.data() # check only for new files if not fctx.parents(): if len(filecontent) > limit and util.binary(filecontent): msg = 'new binary file %s of %s is too large: %ld > %ld\n' hname = dpynode.short(ctx.node()) ui.write(_(msg) % (f, hname, len(filecontent), limit)) forbid = True return forbid The exception: $ hg commit -m 'commit message' error: pretxncommit hook raised an exception: apps/helpers/templatetags/include_extends.py@bced6272d8f4: not found in manifest transaction abort! rollback completed abort: apps/helpers/templatetags/include_extends.py@bced6272d8f4: not found in manifest! I'm not familiar with writing Mercurial hooks, so I'm pretty confused about what's going on. Why does the hook care that a file was removed if hg already knows about it? Is there a way to fix this hook so that it works all the time? Update (solved): I modified the hook to filter out files that were removed in the changeset. def newbinsize(ui, repo, node=None, **kwargs): '''forbid to add binary files over a given size''' forbid = False # default limit is 10 MB limit = int(ui.config('limits', 'maxnewbinsize', 10000000)) ctx = repo[node] for rev in xrange(ctx.rev(), len(repo)): ctx = context.changectx(repo, rev) # do not check the size of files that have been removed # files that have been removed do not have filecontexts # to test for whether a file was removed, test for the existence of a filecontext filecontexts = list(ctx) def file_was_removed(f): """Returns True if the file was removed""" if f not in filecontexts: return True else: return False for f in itertools.ifilterfalse(file_was_removed, ctx.files()): fctx = ctx.filectx(f) filecontent = fctx.data() # check only for new files if not fctx.parents(): if len(filecontent) > limit and util.binary(filecontent): msg = 'new binary file %s of %s is too large: %ld > %ld\n' hname = dpynode.short(ctx.node()) ui.write(_(msg) % (f, hname, len(filecontent), limit)) forbid = True return forbid

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  • Question on Pointer Arithmetic

    - by pws5068
    Heyy Everybody! I am trying to create a memory management system, so that a user can call myMalloc, a method I created. I have a linked list keeping track of my free memory. My problem is when I am attempting to find the end of a free bit in my linked list. I am attempting to add the size of the memory free in that section (which is in the linked list) to the pointer to the front of the free space, like this. void *tailEnd = previousPlace->head_ptr + ((previousPlace->size+1)*(sizeof(int)); I was hoping that this would give me a pointer to the end of that segment. However, I keep getting the warning: "pointer of type 'void*' used in arithmetic" Is there a better way of doing this? Thanks!

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  • getView() (for a Custom ListView ) doesn't get called on notifyDatasetChanged()

    - by hungson175
    Hi everyone, I have the following problem, and searched for a while but haven't got any solution from the net: I have a custom list view, each item has the following layout (I just post the essential): <LinearLayout> <ImageView android:id="@+id/friendlist_iv_avatar" /> <TextView andorid:id="@+id/friendlist_tv_nick_name" /> <ImageView android:id="@+id/friendlist_iv_status_icon" /> </LinearLayout> And I have a class FriendRowItem, which is inflated from the above layout: public class FriendRowItem extends LinearLayout{ private ImageView ivAvatar; private ImageView ivStatusIcon; private TextView tvNickName; public FriendRowItem(Context context) { super(context); RelativeLayout friendRow = (RelativeLayout) Helpers.inflate(context, R.layout.friendlist_row); this.addView(friendRow); ivAvatar = (ImageView)findViewById(R.id.friendlist_iv_avatar); ivStatusIcon = (ImageView)findViewById(R.id.friendlist_iv_status_icon); tvNickName = (TextView)findViewById(R.id.friendlist_tv_nick_name); } public void setPropeties(Friend friend) { //Avatar ivAvatar.setImageResource(friend.getAvatar().getDrawableResourceId()); //Status Status.Type status = friend.getStatusType(); if ( status == Type.ONLINE) { ivStatusIcon.setImageResource(R.drawable.online_icon); } else { ivStatusIcon.setImageResource(R.drawable.offline_icon); } //Nickname String name = friend.getChatID(); if ( friend.hasName()) { name = friend.getName(); } tvNickName.setText(name); } } In the main activity, I have a custom listview: lvMainListView, with an custom adapter (whose class extends ArrayAdapter - and off course: override the method getView ), the data set of the adapter is: ArrayList<Friend> friends: private class FriendRowAdapter extends ArrayAdapter<Friend> { public FriendRowAdapter(Context applicationContext, int friendlistRow, ArrayList<Friend> friends) { super(applicationContext, friendlistRow, friends); } @Override public View getView(int position,View convertView,ViewGroup parent) { Friend friend = getItem(position); FriendRowItem row = (FriendRowItem) convertView; if ( row == null ) { row = new FriendRowItem(ShowFriendsList.this.getApplicationContext()); } row.setPropeties( friend ); return row; } } the problem is when I change the status of a friend from OFFLINE to ONLINE, then call notifyDataSetChanged(), nothing happens : the status icon of that friend doesn't change. I tried debugging, and saw the code: notifyDataSetChanged() get called, but the custom getView() is not fired ! Can you please tell me, that is normal in Android, or did I do something wrong ? (I am using Android 1.5). Thank you in advance, Son

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