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  • Problem using structured data with sproxy-generated proxy c++ class

    - by Odrade
    I am attempting to communicate structured data types between a Visual C++ client application and an ASP.NET web service. I'm am having issues whenever any parameter or return type is not a basic type (e.g. string, int, float, etc). To illustrate the issue, I created the following ASP.NET web service: namespace TestWebService { [WebService(Namespace = "http://localhost/TestWebService")] [WebServiceBinding(ConformsTo = WsiProfiles.BasicProfile1_1)] [ToolboxItem(false)] public class Service1 : System.Web.Services.WebService { [WebMethod] public TestData StructuredOutput() { TestData td = new TestData(); td.data = 1729; return td; } } public class TestData { public int data; } } To consume the service, I created a dirt-simple Visual C++ client in VS2005. I added a web reference to the project, which caused sproxy to generate a proxy class for me. With the generated header properly included, I attempted to invoke the service like this: int _tmain(int argc, _TCHAR* argv[]) { CoInitialize(NULL); Service1::CService1 ws; Service1::TestData td; HRESULT hr = ws.StructuredOutput(&td); //data is returned as expected CoUninitialize(); return 0; } // crashes here with access violation The call to StructuredOutput returns the data as expected, but an access violation occurs on destruction of the CService1 object. The access violation is occurring here (from atlsoap.h): void UninitializeSOAP() { if (m_spReader.p != NULL) { m_spReader->putContentHandler(NULL); //access violation m_spReader.Release(); } } I see the same behavior when using a TestData object as an input parameter, or when using any other structured data types as input or output. When I use basic types for input/output from the web service I do not experience these errors. Any ideas about why this might be happening? Is sproxy screwing something up, or am I? NOTE: I'm aware of gSOAP and the wsdl2h tool, but those aren't freely available for commercial use (and nobody here is going to buy a license). I am open to alternatives for generating the c++ proxy, as long as they are free for commercial use.

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  • SYN receives RST,ACK very frequently

    - by user1289508
    Hi Socket Programming experts, I am writing a proxy server on Linux for SQL Database server running on Windows. The proxy is coded using bsd sockets and in C, and it is working just fine. When I use a database client (written in JAVA, and running on a Linux box) to fire queries (with a concurrency of 100 or more) directly to the Database server, not experiencing connection resets. But through my proxy I am experiencing many connection resets. Digging deeper I came to know that connection from 'DB client' to 'Proxy' always succeeds but when the 'Proxy' tries to connect to the DB server the connection fails, due to the SYN packet getting RST,ACK. That was to give some background. The question is : Why does sometimes SYN receives RST,ACK? 'DB client(linux)' to 'Server(windows)' ---- Works fine 'DB client(linux) to 'Proxy(Linux)' to 'Server(windows)' ----- problematic I am aware that this can happen in "connection refused" case but this definitely is not that one. SYN flooding might be another scenario, but that does not explain fine behavior while firing to Server directly. I am suspecting some socket option setting may be required, that the client does before connecting and my proxy does not. Please put some light on this. Any help (links or pointers) is most appreciated. Additional info: Wrote a C client that does concurrent connections, which takes concurrency as an argument. Here are my observations: - At 5000 concurrency and above, some connects failed with 'connection refused'. - Below 2000, it works fine. But the actual problem is observed even at a concurrency of 100 or more. Note: The problem is time dependent sometimes it never comes at all and sometimes it is very frequent and DB client (directly to server) works fine at all times .

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  • DRY and SRP

    - by Timothy Klenke
    Originally posted on: http://geekswithblogs.net/TimothyK/archive/2014/06/11/dry-and-srp.aspxKent Beck’s XP Simplicity Rules (aka Four Rules of Simple Design) are a prioritized list of rules that when applied to your code generally yield a great design.  As you’ll see from the above link the list has slightly evolved over time.  I find today they are usually listed as: All Tests Pass Don’t Repeat Yourself (DRY) Express Intent Minimalistic These are prioritized.  If your code doesn’t work (rule 1) then everything else is forfeit.  Go back to rule one and get the code working before worrying about anything else. Over the years the community have debated whether the priority of rules 2 and 3 should be reversed.  Some say a little duplication in the code is OK as long as it helps express intent.  I’ve debated it myself.  This recent post got me thinking about this again, hence this post.   I don’t think it is fair to compare “Expressing Intent” against “DRY”.  This is a comparison of apples to oranges.  “Expressing Intent” is a principal of code quality.  “Repeating Yourself” is a code smell.  A code smell is merely an indicator that there might be something wrong with the code.  It takes further investigation to determine if a violation of an underlying principal of code quality has actually occurred. For example “using nouns for method names”, “using verbs for property names”, or “using Booleans for parameters” are all code smells that indicate that code probably isn’t doing a good job at expressing intent.  They are usually very good indicators.  But what principle is the code smell of Duplication pointing to and how good of an indicator is it? Duplication in the code base is bad for a couple reasons.  If you need to make a change and that needs to be made in a number of locations it is difficult to know if you have caught all of them.  This can lead to bugs if/when one of those locations is overlooked.  By refactoring the code to remove all duplication there will be left with only one place to change, thereby eliminating this problem. With most projects the code becomes the single source of truth for a project.  If a production code base is inconsistent with a five year old requirements or design document the production code that people are currently living with is usually declared as the current reality (or truth).  Requirement or design documents at this age in a project life cycle are usually of little value. Although comparing production code to external documentation is usually straight forward, duplication within the code base muddles this declaration of truth.  When code is duplicated small discrepancies will creep in between the two copies over time.  The question then becomes which copy is correct?  As different factions debate how the software should work, trust in the software and the team behind it erodes. The code smell of Duplication points to a violation of the “Single Source of Truth” principle.  Let me define that as: A stakeholder’s requirement for a software change should never cause more than one class to change. Violation of the Single Source of Truth principle will always result in duplication in the code.  However, the inverse is not always true.  Duplication in the code does not necessarily indicate that there is a violation of the Single Source of Truth principle. To illustrate this, let’s look at a retail system where the system will (1) send a transaction to a bank and (2) print a receipt for the customer.  Although these are two separate features of the system, they are closely related.  The reason for printing the receipt is usually to provide an audit trail back to the bank transaction.  Both features use the same data:  amount charged, account number, transaction date, customer name, retail store name, and etcetera.  Because both features use much of the same data, there is likely to be a lot of duplication between them.  This duplication can be removed by making both features use the same data access layer. Then start coming the divergent requirements.  The receipt stakeholder wants a change so that the account number has the last few digits masked out to protect the customer’s privacy.  That can be solve with a small IF statement whilst still eliminating all duplication in the system.  Then the bank wants to take a picture of the customer as well as capture their signature and/or PIN number for enhanced security.  Then the receipt owner wants to pull data from a completely different system to report the customer’s loyalty program point total. After a while you realize that the two stakeholders have somewhat similar, but ultimately different responsibilities.  They have their own reasons for pulling the data access layer in different directions.  Then it dawns on you, the Single Responsibility Principle: There should never be more than one reason for a class to change. In this example we have two stakeholders giving two separate reasons for the data access class to change.  It is clear violation of the Single Responsibility Principle.  That’s a problem because it can often lead the project owner pitting the two stakeholders against each other in a vein attempt to get them to work out a mutual single source of truth.  But that doesn’t exist.  There are two completely valid truths that the developers need to support.  How is this to be supported and honour the Single Responsibility Principle?  The solution is to duplicate the data access layer and let each stakeholder control their own copy. The Single Source of Truth and Single Responsibility Principles are very closely related.  SST tells you when to remove duplication; SRP tells you when to introduce it.  They may seem to be fighting each other, but really they are not.  The key is to clearly identify the different responsibilities (or sources of truth) over a system.  Sometimes there is a single person with that responsibility, other times there are many.  This can be especially difficult if the same person has dual responsibilities.  They might not even realize they are wearing multiple hats. In my opinion Single Source of Truth should be listed as the second rule of simple design with Express Intent at number three.  Investigation of the DRY code smell should yield to the proper application SST, without violating SRP.  When necessary leave duplication in the system and let the class names express the different people that are responsible for controlling them.  Knowing all the people with responsibilities over a system is the higher priority because you’ll need to know this before you can express it.  Although it may be a code smell when there is duplication in the code, it does not necessarily mean that the coder has chosen to be expressive over DRY or that the code is bad.

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  • Apache2 benchmarks - very poor performance

    - by andrzejp
    I have two servers on which I test the configuration of apache2. The first server: 4GB of RAM, AMD Athlon (tm) 64 X2 Dual Core Processor 5600 + Apache 2.2.3, mod_php, mpm prefork: Settings: Timeout 100 KeepAlive On MaxKeepAliveRequests 150 KeepAliveTimeout 4 <IfModule Mpm_prefork_module> StartServers 7 MinSpareServers 15 MaxSpareServers 30 MaxClients 250 MaxRequestsPerChild 2000 </ IfModule> Compiled in modules: core.c mod_log_config.c mod_logio.c prefork.c http_core.c mod_so.c Second server: 8GB of RAM, Intel (R) Core (TM) i7 CPU [email protected] Apache 2.2.9, **fcgid, mpm worker, suexec** PHP scripts are running via fcgi-wrapper Settings: Timeout 100 KeepAlive On MaxKeepAliveRequests 100 KeepAliveTimeout 4 <IfModule Mpm_worker_module> StartServers 10 MaxClients 200 MinSpareThreads 25 MaxSpareThreads 75 ThreadsPerChild 25 MaxRequestsPerChild 1000 </ IfModule> Compiled in modules: core.c mod_log_config.c mod_logio.c worker.c http_core.c mod_so.c The following test results, which are very strange! New server (dynamic content - php via fcgid+suexec): Server Software: Apache/2.2.9 Server Hostname: XXXXXXXX Server Port: 80 Document Path: XXXXXXX Document Length: 179512 bytes Concurrency Level: 10 Time taken for tests: 0.26276 seconds Complete requests: 1000 Failed requests: 0 Total transferred: 179935000 bytes HTML transferred: 179512000 bytes Requests per second: 38.06 Transfer rate: 6847.88 kb/s received Connnection Times (ms) min avg max Connect: 2 4 54 Processing: 161 257 449 Total: 163 261 503 Old server (dynamic content - mod_php): Server Software: Apache/2.2.3 Server Hostname: XXXXXX Server Port: 80 Document Path: XXXXXX Document Length: 187537 bytes Concurrency Level: 10 Time taken for tests: 173.073 seconds Complete requests: 1000 Failed requests: 22 (Connect: 0, Length: 22, Exceptions: 0) Total transferred: 188003372 bytes HTML transferred: 187546372 bytes Requests per second: 5777.91 Transfer rate: 1086267.40 kb/s received Connnection Times (ms) min avg max Connect: 3 3 28 Processing: 298 1724 26615 Total: 301 1727 26643 Old server: Static content (jpg file) Server Software: Apache/2.2.3 Server Hostname: xxxxxxxxx Server Port: 80 Document Path: /images/top2.gif Document Length: 40486 bytes Concurrency Level: 100 Time taken for tests: 3.558 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 Total transferred: 40864400 bytes HTML transferred: 40557482 bytes Requests per second: 281.09 [#/sec] (mean) Time per request: 355.753 [ms] (mean) Time per request: 3.558 [ms] (mean, across all concurrent requests) Transfer rate: 11217.51 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 3 11 4.5 12 23 Processing: 40 329 61.4 339 1009 Waiting: 6 282 55.2 293 737 Total: 43 340 63.0 351 1020 New server - static content (jpg file) Server Software: Apache/2.2.9 Server Hostname: XXXXX Server Port: 80 Document Path: /images/top2.gif Document Length: 40486 bytes Concurrency Level: 100 Time taken for tests: 3.571531 seconds Complete requests: 1000 Failed requests: 0 Write errors: 0 Total transferred: 41282792 bytes HTML transferred: 41030080 bytes Requests per second: 279.99 [#/sec] (mean) Time per request: 357.153 [ms] (mean) Time per request: 3.572 [ms] (mean, across all concurrent requests) Transfer rate: 11287.88 [Kbytes/sec] received Connection Times (ms) min mean[+/-sd] median max Connect: 2 63 24.8 66 119 Processing: 124 278 31.8 282 391 Waiting: 3 70 28.5 66 164 Total: 126 341 35.9 350 443 I noticed that in the apache error.log is a lot of entries: [notice] mod_fcgid: call /www/XXXXX/public_html/forum/index.php with wrapper /www/php-fcgi-scripts/XXXXXX/php-fcgi-starter What I have omitted, or do not understand? Such a difference in requests per second? Is it possible? What could be the cause?

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  • ubuntu 8.04lts + rdiff-backup: Should I install from source instead of using apt repositories?

    - by egarcia
    I'm trying to use rdiff-backup in order to make backup copies of some folders inside an Ubuntu 8.04LTS server. I'm attempting to do the backup on another server with a more modern Ubuntu distro (9.10). I'll call this one the "client". rdiff-backup needs to be installed on both the client and the server. It is available on the apt repositories on both machines, so I installed it using sudo apt-get install rdiff-backup. The problem is that the version installed on the server is older than the one on the client (1.1.15 vs 1.2.8). Thus I get errors when I try do make them work together. So I need both versions to be the same. What is the standard procedure in these cases? Should I attempt to upgrade the version on the server, or downgrade the version on the client? And how whould I do that? In case it is useful, I'd like to point out that the rdiff-backup apt-package has some dependencies - librsync1 & python-support Attaching the errors I got in case they help: rdiff-backup egarcia@test::/var/rails/ohwr/backup /home/kikito/backup/files Warning: Local version 1.2.8 does not match remote version 1.1.15. Exception ' Warning Security Violation! Bad request for function: rpath.make_file_dict with arguments: ['/var/rails/ohwr/backup'] ' raised of class '<class 'rdiff_backup.Security.Violation'>': File "/usr/lib/pymodules/python2.6/rdiff_backup/Main.py", line 304, in error_check_Main try: Main(arglist) File "/usr/lib/pymodules/python2.6/rdiff_backup/Main.py", line 321, in Main rps = map(SetConnections.cmdpair2rp, cmdpairs) File "/usr/lib/pymodules/python2.6/rdiff_backup/SetConnections.py", line 78, in cmdpair2rp return rpath.RPath(conn, filename).normalize() File "/usr/lib/pymodules/python2.6/rdiff_backup/rpath.py", line 884, in __init__ else: self.setdata() File "/usr/lib/pymodules/python2.6/rdiff_backup/rpath.py", line 908, in setdata self.data = self.conn.rpath.make_file_dict(self.path) File "/usr/lib/pymodules/python2.6/rdiff_backup/connection.py", line 450, in __call__ return apply(self.connection.reval, (self.name,) + args) File "/usr/lib/pymodules/python2.6/rdiff_backup/connection.py", line 370, in reval if isinstance(result, Exception): raise result Traceback (most recent call last): File "/usr/bin/rdiff-backup", line 30, in <module> rdiff_backup.Main.error_check_Main(sys.argv[1:]) File "/usr/lib/pymodules/python2.6/rdiff_backup/Main.py", line 304, in error_check_Main try: Main(arglist) File "/usr/lib/pymodules/python2.6/rdiff_backup/Main.py", line 321, in Main rps = map(SetConnections.cmdpair2rp, cmdpairs) File "/usr/lib/pymodules/python2.6/rdiff_backup/SetConnections.py", line 78, in cmdpair2rp return rpath.RPath(conn, filename).normalize() File "/usr/lib/pymodules/python2.6/rdiff_backup/rpath.py", line 884, in __init__ else: self.setdata() File "/usr/lib/pymodules/python2.6/rdiff_backup/rpath.py", line 908, in setdata self.data = self.conn.rpath.make_file_dict(self.path) File "/usr/lib/pymodules/python2.6/rdiff_backup/connection.py", line 450, in __call__ return apply(self.connection.reval, (self.name,) + args) File "/usr/lib/pymodules/python2.6/rdiff_backup/connection.py", line 370, in reval if isinstance(result, Exception): raise result rdiff_backup.Security.Violation: Warning Security Violation! Bad request for function: rpath.make_file_dict with arguments: ['/var/rails/ohwr/backup']

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  • What happens to an ActiveX control (COleControl) after the call to OnDestroy() ?

    - by richj
    I have an ActiveX control written in C++ that runs in Internet Explorer 8. Most of the time (approx 90%) when the tab or browser containing the control is closed, there is an access violation like this: The thread 'Win32 Thread' (0x1bf0) has exited with code 0 (0x0). Unhandled exception at 0x77b3b9fd in iexplore.exe: 0xC0000005: Access violation reading location 0x65007408. The access violation occurs after the call to OnDestroy() but before the call to the control's destructor. The debug output says: No symbols are loaded for any call stack frame. The source code cannot be displayed. None of my code is present in the stacktrace, although perhaps the heap was corrupted at some earlier point during execution. What lifecycle events does an ActiveX control receive between the call to OnDestroy() and the control's destructor?

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  • GPL'ing code of a third party?

    - by Mark
    I am facing the following dilemma at the moment. I am using code from a scientific paper in a commercial project. So basically I copied and pasted the code from the paper's pdf into my code editor and use it in my own code. The code in the paper does not have any copy restrictions or license(like the GPL) so I thought I would be ok using it in a commercial project. However, I have seen several gpl licensed open source projects that use the exact same code from the paper to the point of having the same variable names like in the paper. So what happened here is that a gpl license was put on a third parties non gpl'ed code. Are these open source projects in violation of the gpl or would I be in violation of the gpl because I use code which has been gpl'ed? My common sense tells me it is not allowed to gpl somebody elses non-gpl'ed (like in this case from the paper) code but I though I would ask anyway.

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  • Is there a quasi-standard set of attributes to annotate thread safety, immutability etc.?

    - by Eugene Beresovksy
    Except for a blog post here and there, describing the custom attributes someone created, but that do not seem to get any traction - like one describing how to enforce immutability, another one on Documenting Thread Safety, modeling the attributes after JCIP annotations - is there any standard emerging? Anything MS might be planning for the future? This is something that should be standard, if there's to be any chance of interoperability between libraries concurrency-wise. Both for documentation purposes, and also to feed static / dynamic test tools. If MS isn't doing anything in that direction, it could be done on CodePlex - but I couldn't find anything there, either. <opinion>Concurrency and thread safety are really hard in imperative and object-languages like C# and Java, we should try to tame it, until we hopefully switch to more appropriate languages.</opinion>

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  • Google's Opinion on Javascript Page Refresh

    - by user35306
    I was wondering if anyone knows Google's view on this. My company has a homepage that features a lot of 3rd parties on it and it needs to inform customers which ones are currently online, which aren't, and which are currently busy. Because this constantly changes, we have the homepage refresh to show the most relevant and up-to-date content to our users. I'm not using a meta refresh element in the http-equiv parameter to do this. Instead I have this js element to refresh the page: window.setTimeout("refreshPage()", 120000); I just want to know whether people think Google might consider this a violation of the content guidelines or not. Or if it's not an outright violation, then at least if Google frowns on this or not. It doesn't redirect the user to a different page or anything, just refreshes the page so that they can see the most relevant content.

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  • Utility Objects–Waitfor Delay Coordinator (SQL Server 2008+)

    - by drsql
    Finally… took longer than I had expected when I wrote this a while back, but I had to move my website and get DNS moved before I could post code… When I write code, I do my best to test that code in as many ways as necessary. One of the last types of tests that is necessary is concurrency testing. Concurrency testing is one of the most difficult types of testing because it takes running multiple processes simultaneously and making sure that you get the correct answers multiple times. This is really...(read more)

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  • How can I designed multi-threaded application for larger user base

    - by rokonoid
    Here's my scenario, I need to develop a scalable application. My user base may be over 100K, every user has 10 or more small tasks. Tasks check every minute with a third party application through web services, retrieving data which is written in the database, then the data is forwarded to it's original destination. So here's the processing of a small task: while(true){ Boolean isNewInformationAvailable = checkWhetherInformationIsAvailableOrNot(); If(isNewInformationAvailable ==true){ fetchTheData(); writeToDatabase(); findTheDestination(); deliverTheData(); isAvailable =false; } } Here is the question: as the application is large, how should I approach designing this. I'm going to use Java to write it. Should I use concurrency, and how would you manage the concurrency?

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  • How can I design multi-threaded application for larger user base

    - by rokonoid
    Here's my scenario, I need to develop a scalable application. My user base may be over 100K, every user has 10 or more small tasks. Tasks check every minute with a third party application through web services, retrieving data which is written in the database, then the data is forwarded to it's original destination. So here's the processing of a small task: while(true){ Boolean isNewInformationAvailable = checkWhetherInformationIsAvailableOrNot(); If(isNewInformationAvailable ==true){ fetchTheData(); writeToDatabase(); findTheDestination(); deliverTheData(); isAvailable =false; } } As the application is large, how should I approach designing this? I'm going to use Java to write it. Should I use concurrency, and how would you manage the concurrency?

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  • Error deploying Spring with JAX-WS application in Jboss 6 server

    - by arlahiru
    I'm getting this error when I deploying spring+JAX-WS application in jboss server 6.1.0. 09:14:38,175 ERROR [org.springframework.web.context.ContextLoader] Context initialization failed: org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'com.sun.xml.ws.transport.http.servlet.SpringBinding#0' defined in ServletContext resource [/WEB-INF/applicationContext.xml]: Cannot create inner bean '(inner bean)' of type [org.jvnet.jax_ws_commons.spring.SpringService] while setting bean property 'service'; nested exception is org.springframework.beans.factory.BeanCreationException: Error creating bean with name '(inner bean)': FactoryBean threw exception on object creation; nested exception is java.lang.LinkageError: loader constraint violation: when resolving field "DATETIME" the class loader (instance of org/jboss/classloader/spi/base/BaseClassLoader) of the referring class, javax/xml/datatype/DatatypeConstants, and the class loader (instance of <bootloader>) for the field's resolved type, loader constraint violation: when resolving field "DATETIME" the class loader at org.springframework.beans.factory.support.BeanDefinitionValueResolver.resolveInnerBean(BeanDefinitionValueResolver.java:230) [:2.5.6] at org.springframework.beans.factory.support.BeanDefinitionValueResolver.resolveValueIfNecessary(BeanDefinitionValueResolver.java:122) [:2.5.6] at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.applyPropertyValues(AbstractAutowireCapableBeanFactory.java:1245) [:2.5.6] at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.populateBean(AbstractAutowireCapableBeanFactory.java:1010) [:2.5.6] at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.doCreateBean(AbstractAutowireCapableBeanFactory.java:472) [:2.5.6] at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory$1.run(AbstractAutowireCapableBeanFactory.java:409) [:2.5.6] at java.security.AccessController.doPrivileged(Native Method) [:1.7.0_05] at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.createBean(AbstractAutowireCapableBeanFactory.java:380) [:2.5.6] at org.springframework.beans.factory.support.AbstractBeanFactory$1.getObject(AbstractBeanFactory.java:264) [:2.5.6] at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.getSingleton(DefaultSingletonBeanRegistry.java:222) [:2.5.6] at org.springframework.beans.factory.support.AbstractBeanFactory.doGetBean(AbstractBeanFactory.java:261) [:2.5.6] at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:185) [:2.5.6] at org.springframework.beans.factory.support.AbstractBeanFactory.getBean(AbstractBeanFactory.java:164) [:2.5.6] at org.springframework.beans.factory.support.DefaultListableBeanFactory.preInstantiateSingletons(DefaultListableBeanFactory.java:429) [:2.5.6] at org.springframework.context.support.AbstractApplicationContext.finishBeanFactoryInitialization(AbstractApplicationContext.java:728) [:2.5.6] at org.springframework.context.support.AbstractApplicationContext.refresh(AbstractApplicationContext.java:380) [:2.5.6] at org.springframework.web.context.ContextLoader.createWebApplicationContext(ContextLoader.java:255) [:2.5.6] at org.springframework.web.context.ContextLoader.initWebApplicationContext(ContextLoader.java:199) [:2.5.6] at org.springframework.web.context.ContextLoaderListener.contextInitialized(ContextLoaderListener.java:45) [:2.5.6] at org.apache.catalina.core.StandardContext.contextListenerStart(StandardContext.java:3369) [:6.1.0.Final] at org.apache.catalina.core.StandardContext.start(StandardContext.java:3828) [:6.1.0.Final] at org.jboss.web.tomcat.service.deployers.TomcatDeployment.performDeployInternal(TomcatDeployment.java:294) [:6.1.0.Final] at org.jboss.web.tomcat.service.deployers.TomcatDeployment.performDeploy(TomcatDeployment.java:146) [:6.1.0.Final] at org.jboss.web.deployers.AbstractWarDeployment.start(AbstractWarDeployment.java:476) [:6.1.0.Final] at org.jboss.web.deployers.WebModule.startModule(WebModule.java:118) [:6.1.0.Final] at org.jboss.web.deployers.WebModule.start(WebModule.java:95) [:6.1.0.Final] at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) [:1.7.0_05] at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) [:1.7.0_05] at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) [:1.7.0_05] at java.lang.reflect.Method.invoke(Method.java:601) [:1.7.0_05] at org.jboss.mx.interceptor.ReflectedDispatcher.invoke(ReflectedDispatcher.java:157) [:6.0.0.GA] at org.jboss.mx.server.Invocation.dispatch(Invocation.java:96) [:6.0.0.GA] at org.jboss.mx.server.Invocation.invoke(Invocation.java:88) [:6.0.0.GA] at org.jboss.mx.server.AbstractMBeanInvoker.invoke(AbstractMBeanInvoker.java:271) [:6.0.0.GA] at org.jboss.mx.server.MBeanServerImpl.invoke(MBeanServerImpl.java:670) [:6.0.0.GA] at org.jboss.system.microcontainer.ServiceProxy.invoke(ServiceProxy.java:206) [:2.2.0.SP2] at $Proxy41.start(Unknown Source) at org.jboss.system.microcontainer.StartStopLifecycleAction.installAction(StartStopLifecycleAction.java:53) [:2.2.0.SP2] at org.jboss.system.microcontainer.StartStopLifecycleAction.installAction(StartStopLifecycleAction.java:41) [:2.2.0.SP2] at org.jboss.dependency.plugins.action.SimpleControllerContextAction.simpleInstallAction(SimpleControllerContextAction.java:62) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.action.AccessControllerContextAction.install(AccessControllerContextAction.java:71) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractControllerContextActions.install(AbstractControllerContextActions.java:51) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractControllerContext.install(AbstractControllerContext.java:379) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.system.microcontainer.ServiceControllerContext.install(ServiceControllerContext.java:301) [:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.install(AbstractController.java:2044) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.incrementState(AbstractController.java:1083) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.executeOrIncrementStateDirectly(AbstractController.java:1322) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.resolveContexts(AbstractController.java:1246) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.resolveContexts(AbstractController.java:1139) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.change(AbstractController.java:939) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.change(AbstractController.java:654) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.system.ServiceController.doChange(ServiceController.java:671) [:6.1.0.Final (Build SVNTag:JBoss_6.1.0.Final date: 20110816)] at org.jboss.system.ServiceController.start(ServiceController.java:443) [:6.1.0.Final (Build SVNTag:JBoss_6.1.0.Final date: 20110816)] at org.jboss.system.deployers.ServiceDeployer.start(ServiceDeployer.java:189) [:6.1.0.Final] at org.jboss.system.deployers.ServiceDeployer.deploy(ServiceDeployer.java:102) [:6.1.0.Final] at org.jboss.system.deployers.ServiceDeployer.deploy(ServiceDeployer.java:49) [:6.1.0.Final] at org.jboss.deployers.spi.deployer.helpers.AbstractSimpleRealDeployer.internalDeploy(AbstractSimpleRealDeployer.java:63) [:2.2.2.GA] at org.jboss.deployers.spi.deployer.helpers.AbstractRealDeployer.deploy(AbstractRealDeployer.java:55) [:2.2.2.GA] at org.jboss.deployers.plugins.deployers.DeployerWrapper.deploy(DeployerWrapper.java:179) [:2.2.2.GA] at org.jboss.deployers.plugins.deployers.DeployersImpl.doDeploy(DeployersImpl.java:1832) [:2.2.2.GA] at org.jboss.deployers.plugins.deployers.DeployersImpl.doInstallParentFirst(DeployersImpl.java:1550) [:2.2.2.GA] at org.jboss.deployers.plugins.deployers.DeployersImpl.doInstallParentFirst(DeployersImpl.java:1571) [:2.2.2.GA] at org.jboss.deployers.plugins.deployers.DeployersImpl.install(DeployersImpl.java:1491) [:2.2.2.GA] at org.jboss.dependency.plugins.AbstractControllerContext.install(AbstractControllerContext.java:379) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.install(AbstractController.java:2044) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.incrementState(AbstractController.java:1083) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.executeOrIncrementStateDirectly(AbstractController.java:1322) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.resolveContexts(AbstractController.java:1246) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.resolveContexts(AbstractController.java:1139) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.change(AbstractController.java:939) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.dependency.plugins.AbstractController.change(AbstractController.java:654) [jboss-dependency.jar:2.2.0.SP2] at org.jboss.deployers.plugins.deployers.DeployersImpl.change(DeployersImpl.java:1983) [:2.2.2.GA] at org.jboss.deployers.plugins.deployers.DeployersImpl.process(DeployersImpl.java:1076) [:2.2.2.GA] at org.jboss.deployers.plugins.main.MainDeployerImpl.process(MainDeployerImpl.java:679) [:2.2.2.GA] at org.jboss.system.server.profileservice.deployers.MainDeployerPlugin.process(MainDeployerPlugin.java:106) [:6.1.0.Final] at org.jboss.profileservice.dependency.ProfileControllerContext$DelegateDeployer.process(ProfileControllerContext.java:143) [:0.2.2] at org.jboss.profileservice.plugins.deploy.actions.DeploymentStartAction.doPrepare(DeploymentStartAction.java:98) [:0.2.2] at org.jboss.profileservice.management.actions.AbstractTwoPhaseModificationAction.prepare(AbstractTwoPhaseModificationAction.java:101) [:0.2.2] at org.jboss.profileservice.management.ModificationSession.prepare(ModificationSession.java:87) [:0.2.2] at org.jboss.profileservice.management.AbstractActionController.internalPerfom(AbstractActionController.java:234) [:0.2.2] at org.jboss.profileservice.management.AbstractActionController.performWrite(AbstractActionController.java:213) [:0.2.2] at org.jboss.profileservice.management.AbstractActionController.perform(AbstractActionController.java:150) [:0.2.2] at org.jboss.profileservice.plugins.deploy.AbstractDeployHandler.startDeployments(AbstractDeployHandler.java:168) [:0.2.2] at org.jboss.profileservice.management.upload.remoting.DeployHandlerDelegate.startDeployments(DeployHandlerDelegate.java:74) [:6.1.0.Final] at org.jboss.profileservice.management.upload.remoting.DeployHandler.invoke(DeployHandler.java:156) [:6.1.0.Final] at org.jboss.remoting.ServerInvoker.invoke(ServerInvoker.java:967) [:6.1.0.Final] at org.jboss.remoting.transport.socket.ServerThread.completeInvocation(ServerThread.java:791) [:6.1.0.Final] at org.jboss.remoting.transport.socket.ServerThread.processInvocation(ServerThread.java:744) [:6.1.0.Final] at org.jboss.remoting.transport.socket.ServerThread.dorun(ServerThread.java:548) [:6.1.0.Final] at org.jboss.remoting.transport.socket.ServerThread.run(ServerThread.java:234) [:6.1.0.Final] Caused by: org.springframework.beans.factory.BeanCreationException: Error creating bean with name '(inner bean)': FactoryBean threw exception on object creation; nested exception is java.lang.LinkageError: loader constraint violation: when resolving field "DATETIME" the class loader (instance of org/jboss/classloader/spi/base/BaseClassLoader) of the referring class, javax/xml/datatype/DatatypeConstants, and the class loader (instance of <bootloader>) for the field's resolved type, loader constraint violation: when resolving field "DATETIME" the class loader at org.springframework.beans.factory.support.FactoryBeanRegistrySupport$1.run(FactoryBeanRegistrySupport.java:127) [:2.5.6] at java.security.AccessController.doPrivileged(Native Method) [:1.7.0_05] at org.springframework.beans.factory.support.FactoryBeanRegistrySupport.doGetObjectFromFactoryBean(FactoryBeanRegistrySupport.java:116) [:2.5.6] at org.springframework.beans.factory.support.FactoryBeanRegistrySupport.getObjectFromFactoryBean(FactoryBeanRegistrySupport.java:98) [:2.5.6] at org.springframework.beans.factory.support.BeanDefinitionValueResolver.resolveInnerBean(BeanDefinitionValueResolver.java:223) [:2.5.6] ... 89 more Caused by: java.lang.LinkageError: loader constraint violation: when resolving field "DATETIME" the class loader (instance of org/jboss/classloader/spi/base/BaseClassLoader) of the referring class, javax/xml/datatype/DatatypeConstants, and the class loader (instance of <bootloader>) for the field's resolved type, loader constraint violation: when resolving field "DATETIME" the class loader at com.sun.xml.bind.v2.model.impl.RuntimeBuiltinLeafInfoImpl.<clinit>(RuntimeBuiltinLeafInfoImpl.java:263) [:2.2] at com.sun.xml.bind.v2.model.impl.RuntimeTypeInfoSetImpl.<init>(RuntimeTypeInfoSetImpl.java:65) [:2.2] at com.sun.xml.bind.v2.model.impl.RuntimeModelBuilder.createTypeInfoSet(RuntimeModelBuilder.java:133) [:2.2] at com.sun.xml.bind.v2.model.impl.RuntimeModelBuilder.createTypeInfoSet(RuntimeModelBuilder.java:85) [:2.2] at com.sun.xml.bind.v2.model.impl.ModelBuilder.<init>(ModelBuilder.java:156) [:2.2] at com.sun.xml.bind.v2.model.impl.RuntimeModelBuilder.<init>(RuntimeModelBuilder.java:93) [:2.2] at com.sun.xml.bind.v2.runtime.JAXBContextImpl.getTypeInfoSet(JAXBContextImpl.java:473) [:2.2] at com.sun.xml.bind.v2.runtime.JAXBContextImpl.<init>(JAXBContextImpl.java:319) [:2.2] at com.sun.xml.bind.v2.runtime.JAXBContextImpl$JAXBContextBuilder.build(JAXBContextImpl.java:1170) [:2.2] at com.sun.xml.bind.v2.ContextFactory.createContext(ContextFactory.java:188) [:2.2] at com.sun.xml.bind.api.JAXBRIContext.newInstance(JAXBRIContext.java:111) [:2.2] at com.sun.xml.ws.developer.JAXBContextFactory$1.createJAXBContext(JAXBContextFactory.java:113) [:2.2.3] at com.sun.xml.ws.model.AbstractSEIModelImpl$1.run(AbstractSEIModelImpl.java:166) [:2.2.3] at com.sun.xml.ws.model.AbstractSEIModelImpl$1.run(AbstractSEIModelImpl.java:159) [:2.2.3] at java.security.AccessController.doPrivileged(Native Method) [:1.7.0_05] at com.sun.xml.ws.model.AbstractSEIModelImpl.createJAXBContext(AbstractSEIModelImpl.java:158) [:2.2.3] at com.sun.xml.ws.model.AbstractSEIModelImpl.postProcess(AbstractSEIModelImpl.java:99) [:2.2.3] at com.sun.xml.ws.model.RuntimeModeler.buildRuntimeModel(RuntimeModeler.java:250) [:2.2.3] at com.sun.xml.ws.server.EndpointFactory.createSEIModel(EndpointFactory.java:343) [:2.2.3] at com.sun.xml.ws.server.EndpointFactory.createEndpoint(EndpointFactory.java:205) [:2.2.3] at com.sun.xml.ws.api.server.WSEndpoint.create(WSEndpoint.java:513) [:2.2.3] at org.jvnet.jax_ws_commons.spring.SpringService.getObject(SpringService.java:333) [:] at org.jvnet.jax_ws_commons.spring.SpringService.getObject(SpringService.java:45) [:] at org.springframework.beans.factory.support.FactoryBeanRegistrySupport$1.run(FactoryBeanRegistrySupport.java:121) [:2.5.6] ... 93 more *** DEPLOYMENTS IN ERROR: Name -> Error vfs:///usr/jboss/jboss-6.1.0.Final/server/default/deploy/SpringWS.war -> org.jboss.deployers.spi.DeploymentException: URL file:/usr/jboss/jboss-6.1.0.Final/server/default/tmp/vfs/automountb159aa6e8c1b8582/SpringWS.war-4ec4d0151b4c7d7/ deployment failed DEPLOYMENTS IN ERROR: Deployment "vfs:///usr/jboss/jboss-6.1.0.Final/server/default/deploy/SpringWS.war" is in error due to the following reason(s): org.jboss.deployers.spi.DeploymentException: URL file:/usr/jboss/jboss-6.1.0.Final/server/default/tmp/vfs/automountb159aa6e8c1b8582/SpringWS.war-4ec4d0151b4c7d7/ deployment failed But this application is workinng correctly in glassfish 3.x server and web service is up and running. I'm using Netbeans IDE in Ubuntu 12.04 to build and deploy the application and I couldn't figure out what is the issue here. I guess its about spring and jboss because its working in glassfish smoothly. Please help me to solve this issue. Thanks all in advance.

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  • Brackets around Stored Procedure in ADODB Command Text

    - by KennerL90
    Help me understand why this is happening! I use the ADODB.Command object. The Command Text is set to the Stored Procedure Name. Sometimes, if I DON'T add brackets around the stored procedure name, I get a Syntax Error or Access Violation error. Sometimes, if I DO add brackets around the stored procedure name, I get a Syntax Error or Access Violation error.

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  • Performance issues when using SSD for a developer notebook (WAMP/LAMP stack)?

    - by András Szepesházi
    I'm a web application developer using my notebook as a standalone development environment (WAMP stack). I just switched from a Core2-duo Vista 32 bit notebook with 2Gb RAM and SATA HDD, to an i5-2520M Win7 64 bit with 4Gb RAM and 128 GB SDD (Corsair P3 128). My initial experience was what I expected, fast boot, quick load of all the applications (Eclipse takes now 5 seconds as opposed to 30s on my old notebook), overall great experience. Then I started to build up my development stack, both as LAMP (using VirtualBox with a debian guest) and WAMP (windows native apache + mysql + php). I wanted to compare those two. This still all worked great out, then I started to pull in my projects to these stacks. And here came the nasty surprise, one of those projects produced a lot worse response times than on my old notebook (that was true for both the VirtualBox and WAMP stack). Apache, php and mysql configurations were practically identical in all environments. I started to do a lot of benchmarking and profiling, and here is what I've found: All general benchmarks (Performance Test 7.0, HDTune Pro, wPrime2 and some more) gave a big advantage to the new notebook. Nothing surprising here. Disc specific tests showed that read/write operations peaked around 380M/160M for the SSD, and all the different sized block operations also performed very well. Started apache performance benchmarking with Apache Benchmark for a small static html file (10 concurrent threads, 500 iterations). Old notebook: min 47ms, median 111ms, max 156ms New WAMP stack: min 71ms, median 135ms, max 296ms New LAMP stack (in VirtualBox): min 6ms, median 46ms, max 175ms Right here I don't get why the native WAMP stack performed so bad, but at least the LAMP environment brought the expected speed. Apache performance measurement for non-cached php content. The php runs a loop of 1000 and generates sha1(uniqid()) inisde. Again, 10 concurrent threads, 500 iterations were used for the benchmark. Old notebook: min 0ms, median 39ms, max 218ms New WAMP stack: min 20ms, median 61ms, max 186ms New LAMP stack (in VirtualBox): min 124ms, median 704ms, max 2463ms What the hell? The new LAMP performed miserably, and even the new native WAMP was outperformed by the old notebook. php + mysql test. The test consists of connecting to a database and reading a single record form a table using INNER JOIN on 3 more (indexed) tables, repeated 100 times within a loop. Databases were identical. 10 concurrent threads, 100 iterations were used for the benchmark. Old notebook: min 1201ms, median 1734ms, max 3728ms New WAMP stack: min 367ms, median 675ms, max 1893ms New LAMP stack (in VirtualBox): min 1410ms, median 3659ms, max 5045ms And the same test with concurrency set to 1 (instead of 10): Old notebook: min 1201ms, median 1261ms, max 1357ms New WAMP stack: min 399ms, median 483ms, max 539ms New LAMP stack (in VirtualBox): min 285ms, median 348ms, max 444ms Strictly for my purposes, as I'm using a self contained development environment (= low concurrency) I could be satisfied with the second test's result. Though I have no idea why the VirtualBox environment performed so bad with higher concurrency. Finally I performed a test of including many php files. The application that I mentioned at the beginning, the one that was performing so bad, has a heavy bootstrap, loads hundreds of small library and configuration files while initializing. So this test does nothing else just includes about 100 files. Concurrency set to 1, 100 iterations: Old notebook: min 140ms, median 168ms, max 406ms New WAMP stack: min 434ms, median 488ms, max 604ms New LAMP stack (in VirtualBox): min 413ms, median 1040ms, max 1921ms Even if I consider that VirtualBox reached those files via shared folders, and that slows things down a bit, I still don't see how could the old notebook outperform so heavily both new configurations. And I think this is the real root of the slow performance, as the application uses even more includes, and the whole bootstrap will occur several times within a page request (for each ajax call, for example). To sum it up, here I am with a brand new high-performance notebook that loads the same page in 20 seconds, that my old notebook can do in 5-7 seconds. Needless to say, I'm not a very happy person right now. Why do you think I experience these poor performance values? What are my options to remedy this situation?

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  • OSError : [Errno 38] Function not implemented - Django Celery implementation

    - by Jordan Messina
    I installed django-celery and I tried to start up the worker server but I get an OSError that a function isn't implemented. I'm running CentOS release 5.4 (Final) on a VPS: . broker -> amqp://guest@localhost:5672/ . queues -> . celery -> exchange:celery (direct) binding:celery . concurrency -> 4 . loader -> djcelery.loaders.DjangoLoader . logfile -> [stderr]@WARNING . events -> OFF . beat -> OFF [2010-07-22 17:10:01,364: WARNING/MainProcess] Traceback (most recent call last): [2010-07-22 17:10:01,364: WARNING/MainProcess] File "manage.py", line 11, in <module> [2010-07-22 17:10:01,364: WARNING/MainProcess] execute_manager(settings) [2010-07-22 17:10:01,364: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/django/core/management/__init__.py", line 438, in execute_manager [2010-07-22 17:10:01,364: WARNING/MainProcess] utility.execute() [2010-07-22 17:10:01,364: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/django/core/management/__init__.py", line 379, in execute [2010-07-22 17:10:01,365: WARNING/MainProcess] self.fetch_command(subcommand).run_from_argv(self.argv) [2010-07-22 17:10:01,365: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/django/core/management/base.py", line 191, in run_from_argv [2010-07-22 17:10:01,365: WARNING/MainProcess] self.execute(*args, **options.__dict__) [2010-07-22 17:10:01,365: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/django/core/management/base.py", line 218, in execute [2010-07-22 17:10:01,365: WARNING/MainProcess] output = self.handle(*args, **options) [2010-07-22 17:10:01,365: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/django_celery-2.0.0-py2.6.egg/djcelery/management/commands/celeryd.py", line 22, in handle [2010-07-22 17:10:01,366: WARNING/MainProcess] run_worker(**options) [2010-07-22 17:10:01,366: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/celery-2.0.1-py2.6.egg/celery/bin/celeryd.py", line 385, in run_worker [2010-07-22 17:10:01,366: WARNING/MainProcess] return Worker(**options).run() [2010-07-22 17:10:01,366: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/celery-2.0.1-py2.6.egg/celery/bin/celeryd.py", line 218, in run [2010-07-22 17:10:01,366: WARNING/MainProcess] self.run_worker() [2010-07-22 17:10:01,366: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/celery-2.0.1-py2.6.egg/celery/bin/celeryd.py", line 312, in run_worker [2010-07-22 17:10:01,367: WARNING/MainProcess] worker.start() [2010-07-22 17:10:01,367: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/celery-2.0.1-py2.6.egg/celery/worker/__init__.py", line 206, in start [2010-07-22 17:10:01,367: WARNING/MainProcess] component.start() [2010-07-22 17:10:01,367: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/celery-2.0.1-py2.6.egg/celery/concurrency/processes/__init__.py", line 54, in start [2010-07-22 17:10:01,367: WARNING/MainProcess] maxtasksperchild=self.maxtasksperchild) [2010-07-22 17:10:01,367: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/celery-2.0.1-py2.6.egg/celery/concurrency/processes/pool.py", line 448, in __init__ [2010-07-22 17:10:01,368: WARNING/MainProcess] self._setup_queues() [2010-07-22 17:10:01,368: WARNING/MainProcess] File "/usr/local/lib/python2.6/site-packages/celery-2.0.1-py2.6.egg/celery/concurrency/processes/pool.py", line 564, in _setup_queues [2010-07-22 17:10:01,368: WARNING/MainProcess] self._inqueue = SimpleQueue() [2010-07-22 17:10:01,368: WARNING/MainProcess] File "/usr/local/lib/python2.6/multiprocessing/queues.py", line 315, in __init__ [2010-07-22 17:10:01,368: WARNING/MainProcess] self._rlock = Lock() [2010-07-22 17:10:01,368: WARNING/MainProcess] File "/usr/local/lib/python2.6/multiprocessing/synchronize.py", line 117, in __init__ [2010-07-22 17:10:01,369: WARNING/MainProcess] SemLock.__init__(self, SEMAPHORE, 1, 1) [2010-07-22 17:10:01,369: WARNING/MainProcess] File "/usr/local/lib/python2.6/multiprocessing/synchronize.py", line 49, in __init__ [2010-07-22 17:10:01,369: WARNING/MainProcess] sl = self._semlock = _multiprocessing.SemLock(kind, value, maxvalue) [2010-07-22 17:10:01,369: WARNING/MainProcess] OSError [2010-07-22 17:10:01,369: WARNING/MainProcess] : [2010-07-22 17:10:01,369: WARNING/MainProcess] [Errno 38] Function not implemented Am I just totally screwed and should use a new kernel that has this implemented or is there an easy way to resolve this?

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  • Yet Another ASP.NET MVC CRUD Tutorial

    - by Ricardo Peres
    I know that I have not posted much on MVC, mostly because I don’t use it on my daily life, but since I find it so interesting, and since it is gaining such popularity, I will be talking about it much more. This time, it’s about the most basic of scenarios: CRUD. Although there are several ASP.NET MVC tutorials out there that cover ordinary CRUD operations, I couldn’t find any that would explain how we can have also AJAX, optimistic concurrency control and validation, using Entity Framework Code First, so I set out to write one! I won’t go into explaining what is MVC, Code First or optimistic concurrency control, or AJAX, I assume you are all familiar with these concepts by now. Let’s consider an hypothetical use case, products. For simplicity, we only want to be able to either view a single product or edit this product. First, we need our model: 1: public class Product 2: { 3: public Product() 4: { 5: this.Details = new HashSet<OrderDetail>(); 6: } 7:  8: [Required] 9: [StringLength(50)] 10: public String Name 11: { 12: get; 13: set; 14: } 15:  16: [Key] 17: [ScaffoldColumn(false)] 18: [DatabaseGenerated(DatabaseGeneratedOption.Identity)] 19: public Int32 ProductId 20: { 21: get; 22: set; 23: } 24:  25: [Required] 26: [Range(1, 100)] 27: public Decimal Price 28: { 29: get; 30: set; 31: } 32:  33: public virtual ISet<OrderDetail> Details 34: { 35: get; 36: protected set; 37: } 38:  39: [Timestamp] 40: [ScaffoldColumn(false)] 41: public Byte[] RowVersion 42: { 43: get; 44: set; 45: } 46: } Keep in mind that this is a simple scenario. Let’s see what we have: A class Product, that maps to a product record on the database; A product has a required (RequiredAttribute) Name property which can contain up to 50 characters (StringLengthAttribute); The product’s Price must be a decimal value between 1 and 100 (RangeAttribute); It contains a set of order details, for each time that it has been ordered, which we will not talk about (Details); The record’s primary key (mapped to property ProductId) comes from a SQL Server IDENTITY column generated by the database (KeyAttribute, DatabaseGeneratedAttribute); The table uses a SQL Server ROWVERSION (previously known as TIMESTAMP) column for optimistic concurrency control mapped to property RowVersion (TimestampAttribute). Then we will need a controller for viewing product details, which will located on folder ~/Controllers under the name ProductController: 1: public class ProductController : Controller 2: { 3: [HttpGet] 4: public ViewResult Get(Int32 id = 0) 5: { 6: if (id != 0) 7: { 8: using (ProductContext ctx = new ProductContext()) 9: { 10: return (this.View("Single", ctx.Products.Find(id) ?? new Product())); 11: } 12: } 13: else 14: { 15: return (this.View("Single", new Product())); 16: } 17: } 18: } If the requested product does not exist, or one was not requested at all, one with default values will be returned. I am using a view named Single to display the product’s details, more on that later. As you can see, it delegates the loading of products to an Entity Framework context, which is defined as: 1: public class ProductContext: DbContext 2: { 3: public DbSet<Product> Products 4: { 5: get; 6: set; 7: } 8: } Like I said before, I’ll keep it simple for now, only aggregate root Product is available. The controller will use the standard routes defined by the Visual Studio ASP.NET MVC 3 template: 1: routes.MapRoute( 2: "Default", // Route name 3: "{controller}/{action}/{id}", // URL with parameters 4: new { controller = "Home", action = "Index", id = UrlParameter.Optional } // Parameter defaults 5: ); Next, we need a view for displaying the product details, let’s call it Single, and have it located under ~/Views/Product: 1: <%@ Page Language="C#" Inherits="System.Web.Mvc.ViewPage<Product>" %> 2: <!DOCTYPE html> 3:  4: <html> 5: <head runat="server"> 6: <title>Product</title> 7: <script src="/Scripts/jquery-1.7.2.js" type="text/javascript"></script> 1:  2: <script src="/Scripts/jquery-ui-1.8.19.js" type="text/javascript"> 1: </script> 2: <script src="/Scripts/jquery.unobtrusive-ajax.js" type="text/javascript"> 1: </script> 2: <script src="/Scripts/jquery.validate.js" type="text/javascript"> 1: </script> 2: <script src="/Scripts/jquery.validate.unobtrusive.js" type="text/javascript"> 1: </script> 2: <script type="text/javascript"> 3: function onFailure(error) 4: { 5: } 6:  7: function onComplete(ctx) 8: { 9: } 10:  11: </script> 8: </head> 9: <body> 10: <div> 11: <% 1: : this.Html.ValidationSummary(false) %> 12: <% 1: using (this.Ajax.BeginForm("Edit", "Product", new AjaxOptions{ HttpMethod = FormMethod.Post.ToString(), OnSuccess = "onSuccess", OnFailure = "onFailure" })) { %> 13: <% 1: : this.Html.EditorForModel() %> 14: <input type="submit" name="submit" value="Submit" /> 15: <% 1: } %> 16: </div> 17: </body> 18: </html> Yes… I am using ASPX syntax… sorry about that!   I implemented an editor template for the Product class, which must be located on the ~/Views/Shared/EditorTemplates folder as file Product.ascx: 1: <%@ Control Language="C#" Inherits="System.Web.Mvc.ViewUserControl<Product>" %> 2: <div> 3: <%: this.Html.HiddenFor(model => model.ProductId) %> 4: <%: this.Html.HiddenFor(model => model.RowVersion) %> 5: <fieldset> 6: <legend>Product</legend> 7: <div class="editor-label"> 8: <%: this.Html.LabelFor(model => model.Name) %> 9: </div> 10: <div class="editor-field"> 11: <%: this.Html.TextBoxFor(model => model.Name) %> 12: <%: this.Html.ValidationMessageFor(model => model.Name) %> 13: </div> 14: <div class="editor-label"> 15: <%= this.Html.LabelFor(model => model.Price) %> 16: </div> 17: <div class="editor-field"> 18: <%= this.Html.TextBoxFor(model => model.Price) %> 19: <%: this.Html.ValidationMessageFor(model => model.Price) %> 20: </div> 21: </fieldset> 22: </div> One thing you’ll notice is, I am including both the ProductId and the RowVersion properties as hidden fields; they will come handy later or, so that we know what product and version we are editing. The other thing is the included JavaScript files: jQuery, jQuery UI and unobtrusive validations. Also, I am not using the Content extension method for translating relative URLs, because that way I would lose JavaScript intellisense for jQuery functions. OK, so, at this moment, I want to add support for AJAX and optimistic concurrency control. So I write a controller method like this: 1: [HttpPost] 2: [AjaxOnly] 3: [Authorize] 4: public JsonResult Edit(Product product) 5: { 6: if (this.TryValidateModel(product) == true) 7: { 8: using (BlogContext ctx = new BlogContext()) 9: { 10: Boolean success = false; 11:  12: ctx.Entry(product).State = (product.ProductId == 0) ? EntityState.Added : EntityState.Modified; 13:  14: try 15: { 16: success = (ctx.SaveChanges() == 1); 17: } 18: catch (DbUpdateConcurrencyException) 19: { 20: ctx.Entry(product).Reload(); 21: } 22:  23: return (this.Json(new { Success = success, ProductId = product.ProductId, RowVersion = Convert.ToBase64String(product.RowVersion) })); 24: } 25: } 26: else 27: { 28: return (this.Json(new { Success = false, ProductId = 0, RowVersion = String.Empty })); 29: } 30: } So, this method is only valid for HTTP POST requests (HttpPost), coming from AJAX (AjaxOnly, from MVC Futures), and from authenticated users (Authorize). It returns a JSON object, which is what you would normally use for AJAX requests, containing three properties: Success: a boolean flag; RowVersion: the current version of the ROWVERSION column as a Base-64 string; ProductId: the inserted product id, as coming from the database. If the product is new, it will be inserted into the database, and its primary key will be returned into the ProductId property. Success will be set to true; If a DbUpdateConcurrencyException occurs, it means that the value in the RowVersion property does not match the current ROWVERSION column value on the database, so the record must have been modified between the time that the page was loaded and the time we attempted to save the product. In this case, the controller just gets the new value from the database and returns it in the JSON object; Success will be false. Otherwise, it will be updated, and Success, ProductId and RowVersion will all have their values set accordingly. So let’s see how we can react to these situations on the client side. Specifically, we want to deal with these situations: The user is not logged in when the update/create request is made, perhaps the cookie expired; The optimistic concurrency check failed; All went well. So, let’s change our view: 1: <%@ Page Language="C#" Inherits="System.Web.Mvc.ViewPage<Product>" %> 2: <%@ Import Namespace="System.Web.Security" %> 3:  4: <!DOCTYPE html> 5:  6: <html> 7: <head runat="server"> 8: <title>Product</title> 9: <script src="/Scripts/jquery-1.7.2.js" type="text/javascript"></script> 1:  2: <script src="/Scripts/jquery-ui-1.8.19.js" type="text/javascript"> 1: </script> 2: <script src="/Scripts/jquery.unobtrusive-ajax.js" type="text/javascript"> 1: </script> 2: <script src="/Scripts/jquery.validate.js" type="text/javascript"> 1: </script> 2: <script src="/Scripts/jquery.validate.unobtrusive.js" type="text/javascript"> 1: </script> 2: <script type="text/javascript"> 3: function onFailure(error) 4: { 5: window.alert('An error occurred: ' + error); 6: } 7:  8: function onSuccess(ctx) 9: { 10: if (typeof (ctx.Success) != 'undefined') 11: { 12: $('input#ProductId').val(ctx.ProductId); 13: $('input#RowVersion').val(ctx.RowVersion); 14:  15: if (ctx.Success == false) 16: { 17: window.alert('An error occurred while updating the entity: it may have been modified by third parties. Please try again.'); 18: } 19: else 20: { 21: window.alert('Saved successfully'); 22: } 23: } 24: else 25: { 26: if (window.confirm('Not logged in. Login now?') == true) 27: { 28: document.location.href = '<%: FormsAuthentication.LoginUrl %>?ReturnURL=' + document.location.pathname; 29: } 30: } 31: } 32:  33: </script> 10: </head> 11: <body> 12: <div> 13: <% 1: : this.Html.ValidationSummary(false) %> 14: <% 1: using (this.Ajax.BeginForm("Edit", "Product", new AjaxOptions{ HttpMethod = FormMethod.Post.ToString(), OnSuccess = "onSuccess", OnFailure = "onFailure" })) { %> 15: <% 1: : this.Html.EditorForModel() %> 16: <input type="submit" name="submit" value="Submit" /> 17: <% 1: } %> 18: </div> 19: </body> 20: </html> The implementation of the onSuccess function first checks if the response contains a Success property, if not, the most likely cause is the request was redirected to the login page (using Forms Authentication), because it wasn’t authenticated, so we navigate there as well, keeping the reference to the current page. It then saves the current values of the ProductId and RowVersion properties to their respective hidden fields. They will be sent on each successive post and will be used in determining if the request is for adding a new product or to updating an existing one. The only thing missing is the ability to insert a new product, after inserting/editing an existing one, which can be easily achieved using this snippet: 1: <input type="button" value="New" onclick="$('input#ProductId').val('');$('input#RowVersion').val('');"/> And that’s it.

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  • MERGE Bug with Filtered Indexes

    - by Paul White
    A MERGE statement can fail, and incorrectly report a unique key violation when: The target table uses a unique filtered index; and No key column of the filtered index is updated; and A column from the filtering condition is updated; and Transient key violations are possible Example Tables Say we have two tables, one that is the target of a MERGE statement, and another that contains updates to be applied to the target.  The target table contains three columns, an integer primary key, a single character alternate key, and a status code column.  A filtered unique index exists on the alternate key, but is only enforced where the status code is ‘a’: CREATE TABLE #Target ( pk integer NOT NULL, ak character(1) NOT NULL, status_code character(1) NOT NULL,   PRIMARY KEY (pk) );   CREATE UNIQUE INDEX uq1 ON #Target (ak) INCLUDE (status_code) WHERE status_code = 'a'; The changes table contains just an integer primary key (to identify the target row to change) and the new status code: CREATE TABLE #Changes ( pk integer NOT NULL, status_code character(1) NOT NULL,   PRIMARY KEY (pk) ); Sample Data The sample data for the example is: INSERT #Target (pk, ak, status_code) VALUES (1, 'A', 'a'), (2, 'B', 'a'), (3, 'C', 'a'), (4, 'A', 'd');   INSERT #Changes (pk, status_code) VALUES (1, 'd'), (4, 'a');          Target                     Changes +-----------------------+    +------------------+ ¦ pk ¦ ak ¦ status_code ¦    ¦ pk ¦ status_code ¦ ¦----+----+-------------¦    ¦----+-------------¦ ¦  1 ¦ A  ¦ a           ¦    ¦  1 ¦ d           ¦ ¦  2 ¦ B  ¦ a           ¦    ¦  4 ¦ a           ¦ ¦  3 ¦ C  ¦ a           ¦    +------------------+ ¦  4 ¦ A  ¦ d           ¦ +-----------------------+ The target table’s alternate key (ak) column is unique, for rows where status_code = ‘a’.  Applying the changes to the target will change row 1 from status ‘a’ to status ‘d’, and row 4 from status ‘d’ to status ‘a’.  The result of applying all the changes will still satisfy the filtered unique index, because the ‘A’ in row 1 will be deleted from the index and the ‘A’ in row 4 will be added. Merge Test One Let’s now execute a MERGE statement to apply the changes: MERGE #Target AS t USING #Changes AS c ON c.pk = t.pk WHEN MATCHED AND c.status_code <> t.status_code THEN UPDATE SET status_code = c.status_code; The MERGE changes the two target rows as expected.  The updated target table now contains: +-----------------------+ ¦ pk ¦ ak ¦ status_code ¦ ¦----+----+-------------¦ ¦  1 ¦ A  ¦ d           ¦ <—changed from ‘a’ ¦  2 ¦ B  ¦ a           ¦ ¦  3 ¦ C  ¦ a           ¦ ¦  4 ¦ A  ¦ a           ¦ <—changed from ‘d’ +-----------------------+ Merge Test Two Now let’s repopulate the changes table to reverse the updates we just performed: TRUNCATE TABLE #Changes;   INSERT #Changes (pk, status_code) VALUES (1, 'a'), (4, 'd'); This will change row 1 back to status ‘a’ and row 4 back to status ‘d’.  As a reminder, the current state of the tables is:          Target                        Changes +-----------------------+    +------------------+ ¦ pk ¦ ak ¦ status_code ¦    ¦ pk ¦ status_code ¦ ¦----+----+-------------¦    ¦----+-------------¦ ¦  1 ¦ A  ¦ d           ¦    ¦  1 ¦ a           ¦ ¦  2 ¦ B  ¦ a           ¦    ¦  4 ¦ d           ¦ ¦  3 ¦ C  ¦ a           ¦    +------------------+ ¦  4 ¦ A  ¦ a           ¦ +-----------------------+ We execute the same MERGE statement: MERGE #Target AS t USING #Changes AS c ON c.pk = t.pk WHEN MATCHED AND c.status_code <> t.status_code THEN UPDATE SET status_code = c.status_code; However this time we receive the following message: Msg 2601, Level 14, State 1, Line 1 Cannot insert duplicate key row in object 'dbo.#Target' with unique index 'uq1'. The duplicate key value is (A). The statement has been terminated. Applying the changes using UPDATE Let’s now rewrite the MERGE to use UPDATE instead: UPDATE t SET status_code = c.status_code FROM #Target AS t JOIN #Changes AS c ON t.pk = c.pk WHERE c.status_code <> t.status_code; This query succeeds where the MERGE failed.  The two rows are updated as expected: +-----------------------+ ¦ pk ¦ ak ¦ status_code ¦ ¦----+----+-------------¦ ¦  1 ¦ A  ¦ a           ¦ <—changed back to ‘a’ ¦  2 ¦ B  ¦ a           ¦ ¦  3 ¦ C  ¦ a           ¦ ¦  4 ¦ A  ¦ d           ¦ <—changed back to ‘d’ +-----------------------+ What went wrong with the MERGE? In this test, the MERGE query execution happens to apply the changes in the order of the ‘pk’ column. In test one, this was not a problem: row 1 is removed from the unique filtered index by changing status_code from ‘a’ to ‘d’ before row 4 is added.  At no point does the table contain two rows where ak = ‘A’ and status_code = ‘a’. In test two, however, the first change was to change row 1 from status ‘d’ to status ‘a’.  This change means there would be two rows in the filtered unique index where ak = ‘A’ (both row 1 and row 4 meet the index filtering criteria ‘status_code = a’). The storage engine does not allow the query processor to violate a unique key (unless IGNORE_DUP_KEY is ON, but that is a different story, and doesn’t apply to MERGE in any case).  This strict rule applies regardless of the fact that if all changes were applied, there would be no unique key violation (row 4 would eventually be changed from ‘a’ to ‘d’, removing it from the filtered unique index, and resolving the key violation). Why it went wrong The query optimizer usually detects when this sort of temporary uniqueness violation could occur, and builds a plan that avoids the issue.  I wrote about this a couple of years ago in my post Beware Sneaky Reads with Unique Indexes (you can read more about the details on pages 495-497 of Microsoft SQL Server 2008 Internals or in Craig Freedman’s blog post on maintaining unique indexes).  To summarize though, the optimizer introduces Split, Filter, Sort, and Collapse operators into the query plan to: Split each row update into delete followed by an inserts Filter out rows that would not change the index (due to the filter on the index, or a non-updating update) Sort the resulting stream by index key, with deletes before inserts Collapse delete/insert pairs on the same index key back into an update The effect of all this is that only net changes are applied to an index (as one or more insert, update, and/or delete operations).  In this case, the net effect is a single update of the filtered unique index: changing the row for ak = ‘A’ from pk = 4 to pk = 1.  In case that is less than 100% clear, let’s look at the operation in test two again:          Target                     Changes                   Result +-----------------------+    +------------------+    +-----------------------+ ¦ pk ¦ ak ¦ status_code ¦    ¦ pk ¦ status_code ¦    ¦ pk ¦ ak ¦ status_code ¦ ¦----+----+-------------¦    ¦----+-------------¦    ¦----+----+-------------¦ ¦  1 ¦ A  ¦ d           ¦    ¦  1 ¦ d           ¦    ¦  1 ¦ A  ¦ a           ¦ ¦  2 ¦ B  ¦ a           ¦    ¦  4 ¦ a           ¦    ¦  2 ¦ B  ¦ a           ¦ ¦  3 ¦ C  ¦ a           ¦    +------------------+    ¦  3 ¦ C  ¦ a           ¦ ¦  4 ¦ A  ¦ a           ¦                            ¦  4 ¦ A  ¦ d           ¦ +-----------------------+                            +-----------------------+ From the filtered index’s point of view (filtered for status_code = ‘a’ and shown in nonclustered index key order) the overall effect of the query is:   Before           After +---------+    +---------+ ¦ pk ¦ ak ¦    ¦ pk ¦ ak ¦ ¦----+----¦    ¦----+----¦ ¦  4 ¦ A  ¦    ¦  1 ¦ A  ¦ ¦  2 ¦ B  ¦    ¦  2 ¦ B  ¦ ¦  3 ¦ C  ¦    ¦  3 ¦ C  ¦ +---------+    +---------+ The single net change there is a change of pk from 4 to 1 for the nonclustered index entry ak = ‘A’.  This is the magic performed by the split, sort, and collapse.  Notice in particular how the original changes to the index key (on the ‘ak’ column) have been transformed into an update of a non-key column (pk is included in the nonclustered index).  By not updating any nonclustered index keys, we are guaranteed to avoid transient key violations. The Execution Plans The estimated MERGE execution plan that produces the incorrect key-violation error looks like this (click to enlarge in a new window): The successful UPDATE execution plan is (click to enlarge in a new window): The MERGE execution plan is a narrow (per-row) update.  The single Clustered Index Merge operator maintains both the clustered index and the filtered nonclustered index.  The UPDATE plan is a wide (per-index) update.  The clustered index is maintained first, then the Split, Filter, Sort, Collapse sequence is applied before the nonclustered index is separately maintained. There is always a wide update plan for any query that modifies the database. The narrow form is a performance optimization where the number of rows is expected to be relatively small, and is not available for all operations.  One of the operations that should disallow a narrow plan is maintaining a unique index where intermediate key violations could occur. Workarounds The MERGE can be made to work (producing a wide update plan with split, sort, and collapse) by: Adding all columns referenced in the filtered index’s WHERE clause to the index key (INCLUDE is not sufficient); or Executing the query with trace flag 8790 set e.g. OPTION (QUERYTRACEON 8790). Undocumented trace flag 8790 forces a wide update plan for any data-changing query (remember that a wide update plan is always possible).  Either change will produce a successfully-executing wide update plan for the MERGE that failed previously. Conclusion The optimizer fails to spot the possibility of transient unique key violations with MERGE under the conditions listed at the start of this post.  It incorrectly chooses a narrow plan for the MERGE, which cannot provide the protection of a split/sort/collapse sequence for the nonclustered index maintenance. The MERGE plan may fail at execution time depending on the order in which rows are processed, and the distribution of data in the database.  Worse, a previously solid MERGE query may suddenly start to fail unpredictably if a filtered unique index is added to the merge target table at any point. Connect bug filed here Tests performed on SQL Server 2012 SP1 CUI (build 11.0.3321) x64 Developer Edition © 2012 Paul White – All Rights Reserved Twitter: @SQL_Kiwi Email: [email protected]

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  • Help catching AV with WinDbg and ADPlus 7.0

    - by Stoune
    I want to catch Memory Access Violation in SQL Server Compact Edition like this described at http://debuggingblog.com/wp/2009/02/18/memory-access-violation-in-sql-server-compact-editionce/ The suggested config is: CRASH Quiet MyApp.exe NoDumpOnFirstChance clr;av FullDump gn I download latest Debugging Tools and observe what Microsoft rewrite adplus tool into managed code and change syntax of config File. I rewrite config file like this: <ADPlus Version="2"> <Settings> <RunMode>Crash</RunMode> <Option>Quiet</Option> <Option>NoDumpOnFirst</Option> <Sympath>c:\symbols\</Sympath> <OutputDir>c:\work\output\</OutputDir> <ProcessName>c:\work\app\output\MyApp.exe</ProcessName> </Settings> <Exceptions><!--to get the full dump on clr access violation--> <Exception Code="clr;av"> <Actions1>FullDump</Actions1> <ReturnAction1>gn</ReturnAction1> </Exception> </Exceptions> </ADPlus> And I get error "Couldn't find exception with code: clr;av". If I understand right It didn't load sos extension, but I can't find the right section and syntax that I should use to load it. adplus_old.vbs - for some reasons didn't launch process on Windows 7. WinDBG 6.12.0002.633 X86 ADPlus Engine Version: 7.01.002 02/27/2009 Maybe someone has a working example of config of debugging .NET app with latest adplus.exe?

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  • Unhandled Exception with c++ app on Visual Studio 2008 release build - occurs when returning from fu

    - by Rich
    Hi, I have a (rather large) application that I have written in C++ and until recently it has been running fine outside of visual studio from the release build. However, now, whenever I run it it says "Unhandled exception at 0x77cf205b in myprog.exe: 0xC0000005: Access violation writing location 0x45000200.", and leads me to "crtexe.c" at line 582 ("mainret = main(argc, argv, envp);") if I attempt to debug it. Note that this problem never shows if I run my debug executable outside of visual studio, or if I run my debug or release build within visual studio. It only happens when running the release build outside of visual studio. I have been through and put plenty of printfs and a couple of while(1)s in it to see when it actually crashed, and found that the access violation occurs at exactly the point that the value is returned from the function (I'm returning a pointer to an object). I don't fully understand why I would get an access violation at the point it returns, and it doesn't seem to matter what I'm returning as it still occurs when I return 0. The point it started crashing was when I added a function which does a lot of reading from a file using ifstream. I am opening the stream every time I attempt to read a new file and close it when I finish reading it. If I keep attempting to run it, it will run once in about 20 tries. It seems a lot more reliable if I run it off my pen drive (it seems to crash the first 3 or 4 times then run fine after that - maybe it's due to its slower read speed). Thanks for your help, and if I've missed anything let me know.

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  • App no longer working - any ideas

    - by hamishmcn
    I am out of ideas as to why my app has suddenly stopped working - perhaps the collective mind of the SO community can help... Background: I have a large application that has been working up until recently. Now when ever I try and run it I get the error "The application failed to initialize properly (0xc0000005)" This happens before the app gets to _tmain(). It happens in both release and debug builds. I have tried cleaning and rebuilding the projects and rebooted my PC. The call stack just shows entries for kernel32.dll and ntdll.dll The output window shows: First-chance exception at 0x00532c13 in a.exe: 0xC0000005: Access violation reading location 0xabababdb. First-chance exception at 0x7c964ed1 in a.exe: 0xC0000005: Access violation. Unhandled exception at 0x7c964ed1 in a.exe: 0xC0000005: Access violation. Any ideas? Edit: Okay - found the problem - it was dll related my app uses shared dlls a.dll and b.dll (and others) a.dll hardly every changes (and uses b.dll) b.dll was changed by another developer this morning and a.dll was not rebuilt. Depends.exe did not show any missing dlls, however a.dll no longer works because of the change to b.dll

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  • PTLQueue : a scalable bounded-capacity MPMC queue

    - by Dave
    Title: Fast concurrent MPMC queue -- I've used the following concurrent queue algorithm enough that it warrants a blog entry. I'll sketch out the design of a fast and scalable multiple-producer multiple-consumer (MPSC) concurrent queue called PTLQueue. The queue has bounded capacity and is implemented via a circular array. Bounded capacity can be a useful property if there's a mismatch between producer rates and consumer rates where an unbounded queue might otherwise result in excessive memory consumption by virtue of the container nodes that -- in some queue implementations -- are used to hold values. A bounded-capacity queue can provide flow control between components. Beware, however, that bounded collections can also result in resource deadlock if abused. The put() and take() operators are partial and wait for the collection to become non-full or non-empty, respectively. Put() and take() do not allocate memory, and are not vulnerable to the ABA pathologies. The PTLQueue algorithm can be implemented equally well in C/C++ and Java. Partial operators are often more convenient than total methods. In many use cases if the preconditions aren't met, there's nothing else useful the thread can do, so it may as well wait via a partial method. An exception is in the case of work-stealing queues where a thief might scan a set of queues from which it could potentially steal. Total methods return ASAP with a success-failure indication. (It's tempting to describe a queue or API as blocking or non-blocking instead of partial or total, but non-blocking is already an overloaded concurrency term. Perhaps waiting/non-waiting or patient/impatient might be better terms). It's also trivial to construct partial operators by busy-waiting via total operators, but such constructs may be less efficient than an operator explicitly and intentionally designed to wait. A PTLQueue instance contains an array of slots, where each slot has volatile Turn and MailBox fields. The array has power-of-two length allowing mod/div operations to be replaced by masking. We assume sensible padding and alignment to reduce the impact of false sharing. (On x86 I recommend 128-byte alignment and padding because of the adjacent-sector prefetch facility). Each queue also has PutCursor and TakeCursor cursor variables, each of which should be sequestered as the sole occupant of a cache line or sector. You can opt to use 64-bit integers if concerned about wrap-around aliasing in the cursor variables. Put(null) is considered illegal, but the caller or implementation can easily check for and convert null to a distinguished non-null proxy value if null happens to be a value you'd like to pass. Take() will accordingly convert the proxy value back to null. An advantage of PTLQueue is that you can use atomic fetch-and-increment for the partial methods. We initialize each slot at index I with (Turn=I, MailBox=null). Both cursors are initially 0. All shared variables are considered "volatile" and atomics such as CAS and AtomicFetchAndIncrement are presumed to have bidirectional fence semantics. Finally T is the templated type. I've sketched out a total tryTake() method below that allows the caller to poll the queue. tryPut() has an analogous construction. Zebra stripping : alternating row colors for nice-looking code listings. See also google code "prettify" : https://code.google.com/p/google-code-prettify/ Prettify is a javascript module that yields the HTML/CSS/JS equivalent of pretty-print. -- pre:nth-child(odd) { background-color:#ff0000; } pre:nth-child(even) { background-color:#0000ff; } border-left: 11px solid #ccc; margin: 1.7em 0 1.7em 0.3em; background-color:#BFB; font-size:12px; line-height:65%; " // PTLQueue : Put(v) : // producer : partial method - waits as necessary assert v != null assert Mask = 1 && (Mask & (Mask+1)) == 0 // Document invariants // doorway step // Obtain a sequence number -- ticket // As a practical concern the ticket value is temporally unique // The ticket also identifies and selects a slot auto tkt = AtomicFetchIncrement (&PutCursor, 1) slot * s = &Slots[tkt & Mask] // waiting phase : // wait for slot's generation to match the tkt value assigned to this put() invocation. // The "generation" is implicitly encoded as the upper bits in the cursor // above those used to specify the index : tkt div (Mask+1) // The generation serves as an epoch number to identify a cohort of threads // accessing disjoint slots while s-Turn != tkt : Pause assert s-MailBox == null s-MailBox = v // deposit and pass message Take() : // consumer : partial method - waits as necessary auto tkt = AtomicFetchIncrement (&TakeCursor,1) slot * s = &Slots[tkt & Mask] // 2-stage waiting : // First wait for turn for our generation // Acquire exclusive "take" access to slot's MailBox field // Then wait for the slot to become occupied while s-Turn != tkt : Pause // Concurrency in this section of code is now reduced to just 1 producer thread // vs 1 consumer thread. // For a given queue and slot, there will be most one Take() operation running // in this section. // Consumer waits for producer to arrive and make slot non-empty // Extract message; clear mailbox; advance Turn indicator // We have an obvious happens-before relation : // Put(m) happens-before corresponding Take() that returns that same "m" for T v = s-MailBox if v != null : s-MailBox = null ST-ST barrier s-Turn = tkt + Mask + 1 // unlock slot to admit next producer and consumer return v Pause tryTake() : // total method - returns ASAP with failure indication for auto tkt = TakeCursor slot * s = &Slots[tkt & Mask] if s-Turn != tkt : return null T v = s-MailBox // presumptive return value if v == null : return null // ratify tkt and v values and commit by advancing cursor if CAS (&TakeCursor, tkt, tkt+1) != tkt : continue s-MailBox = null ST-ST barrier s-Turn = tkt + Mask + 1 return v The basic idea derives from the Partitioned Ticket Lock "PTL" (US20120240126-A1) and the MultiLane Concurrent Bag (US8689237). The latter is essentially a circular ring-buffer where the elements themselves are queues or concurrent collections. You can think of the PTLQueue as a partitioned ticket lock "PTL" augmented to pass values from lock to unlock via the slots. Alternatively, you could conceptualize of PTLQueue as a degenerate MultiLane bag where each slot or "lane" consists of a simple single-word MailBox instead of a general queue. Each lane in PTLQueue also has a private Turn field which acts like the Turn (Grant) variables found in PTL. Turn enforces strict FIFO ordering and restricts concurrency on the slot mailbox field to at most one simultaneous put() and take() operation. PTL uses a single "ticket" variable and per-slot Turn (grant) fields while MultiLane has distinct PutCursor and TakeCursor cursors and abstract per-slot sub-queues. Both PTL and MultiLane advance their cursor and ticket variables with atomic fetch-and-increment. PTLQueue borrows from both PTL and MultiLane and has distinct put and take cursors and per-slot Turn fields. Instead of a per-slot queues, PTLQueue uses a simple single-word MailBox field. PutCursor and TakeCursor act like a pair of ticket locks, conferring "put" and "take" access to a given slot. PutCursor, for instance, assigns an incoming put() request to a slot and serves as a PTL "Ticket" to acquire "put" permission to that slot's MailBox field. To better explain the operation of PTLQueue we deconstruct the operation of put() and take() as follows. Put() first increments PutCursor obtaining a new unique ticket. That ticket value also identifies a slot. Put() next waits for that slot's Turn field to match that ticket value. This is tantamount to using a PTL to acquire "put" permission on the slot's MailBox field. Finally, having obtained exclusive "put" permission on the slot, put() stores the message value into the slot's MailBox. Take() similarly advances TakeCursor, identifying a slot, and then acquires and secures "take" permission on a slot by waiting for Turn. Take() then waits for the slot's MailBox to become non-empty, extracts the message, and clears MailBox. Finally, take() advances the slot's Turn field, which releases both "put" and "take" access to the slot's MailBox. Note the asymmetry : put() acquires "put" access to the slot, but take() releases that lock. At any given time, for a given slot in a PTLQueue, at most one thread has "put" access and at most one thread has "take" access. This restricts concurrency from general MPMC to 1-vs-1. We have 2 ticket locks -- one for put() and one for take() -- each with its own "ticket" variable in the form of the corresponding cursor, but they share a single "Grant" egress variable in the form of the slot's Turn variable. Advancing the PutCursor, for instance, serves two purposes. First, we obtain a unique ticket which identifies a slot. Second, incrementing the cursor is the doorway protocol step to acquire the per-slot mutual exclusion "put" lock. The cursors and operations to increment those cursors serve double-duty : slot-selection and ticket assignment for locking the slot's MailBox field. At any given time a slot MailBox field can be in one of the following states: empty with no pending operations -- neutral state; empty with one or more waiting take() operations pending -- deficit; occupied with no pending operations; occupied with one or more waiting put() operations -- surplus; empty with a pending put() or pending put() and take() operations -- transitional; or occupied with a pending take() or pending put() and take() operations -- transitional. The partial put() and take() operators can be implemented with an atomic fetch-and-increment operation, which may confer a performance advantage over a CAS-based loop. In addition we have independent PutCursor and TakeCursor cursors. Critically, a put() operation modifies PutCursor but does not access the TakeCursor and a take() operation modifies the TakeCursor cursor but does not access the PutCursor. This acts to reduce coherence traffic relative to some other queue designs. It's worth noting that slow threads or obstruction in one slot (or "lane") does not impede or obstruct operations in other slots -- this gives us some degree of obstruction isolation. PTLQueue is not lock-free, however. The implementation above is expressed with polite busy-waiting (Pause) but it's trivial to implement per-slot parking and unparking to deschedule waiting threads. It's also easy to convert the queue to a more general deque by replacing the PutCursor and TakeCursor cursors with Left/Front and Right/Back cursors that can move either direction. Specifically, to push and pop from the "left" side of the deque we would decrement and increment the Left cursor, respectively, and to push and pop from the "right" side of the deque we would increment and decrement the Right cursor, respectively. We used a variation of PTLQueue for message passing in our recent OPODIS 2013 paper. ul { list-style:none; padding-left:0; padding:0; margin:0; margin-left:0; } ul#myTagID { padding: 0px; margin: 0px; list-style:none; margin-left:0;} -- -- There's quite a bit of related literature in this area. I'll call out a few relevant references: Wilson's NYU Courant Institute UltraComputer dissertation from 1988 is classic and the canonical starting point : Operating System Data Structures for Shared-Memory MIMD Machines with Fetch-and-Add. Regarding provenance and priority, I think PTLQueue or queues effectively equivalent to PTLQueue have been independently rediscovered a number of times. See CB-Queue and BNPBV, below, for instance. But Wilson's dissertation anticipates the basic idea and seems to predate all the others. Gottlieb et al : Basic Techniques for the Efficient Coordination of Very Large Numbers of Cooperating Sequential Processors Orozco et al : CB-Queue in Toward high-throughput algorithms on many-core architectures which appeared in TACO 2012. Meneghin et al : BNPVB family in Performance evaluation of inter-thread communication mechanisms on multicore/multithreaded architecture Dmitry Vyukov : bounded MPMC queue (highly recommended) Alex Otenko : US8607249 (highly related). John Mellor-Crummey : Concurrent queues: Practical fetch-and-phi algorithms. Technical Report 229, Department of Computer Science, University of Rochester Thomasson : FIFO Distributed Bakery Algorithm (very similar to PTLQueue). Scott and Scherer : Dual Data Structures I'll propose an optimization left as an exercise for the reader. Say we wanted to reduce memory usage by eliminating inter-slot padding. Such padding is usually "dark" memory and otherwise unused and wasted. But eliminating the padding leaves us at risk of increased false sharing. Furthermore lets say it was usually the case that the PutCursor and TakeCursor were numerically close to each other. (That's true in some use cases). We might still reduce false sharing by incrementing the cursors by some value other than 1 that is not trivially small and is coprime with the number of slots. Alternatively, we might increment the cursor by one and mask as usual, resulting in a logical index. We then use that logical index value to index into a permutation table, yielding an effective index for use in the slot array. The permutation table would be constructed so that nearby logical indices would map to more distant effective indices. (Open question: what should that permutation look like? Possibly some perversion of a Gray code or De Bruijn sequence might be suitable). As an aside, say we need to busy-wait for some condition as follows : "while C == 0 : Pause". Lets say that C is usually non-zero, so we typically don't wait. But when C happens to be 0 we'll have to spin for some period, possibly brief. We can arrange for the code to be more machine-friendly with respect to the branch predictors by transforming the loop into : "if C == 0 : for { Pause; if C != 0 : break; }". Critically, we want to restructure the loop so there's one branch that controls entry and another that controls loop exit. A concern is that your compiler or JIT might be clever enough to transform this back to "while C == 0 : Pause". You can sometimes avoid this by inserting a call to a some type of very cheap "opaque" method that the compiler can't elide or reorder. On Solaris, for instance, you could use :"if C == 0 : { gethrtime(); for { Pause; if C != 0 : break; }}". It's worth noting the obvious duality between locks and queues. If you have strict FIFO lock implementation with local spinning and succession by direct handoff such as MCS or CLH,then you can usually transform that lock into a queue. Hidden commentary and annotations - invisible : * And of course there's a well-known duality between queues and locks, but I'll leave that topic for another blog post. * Compare and contrast : PTLQ vs PTL and MultiLane * Equivalent : Turn; seq; sequence; pos; position; ticket * Put = Lock; Deposit Take = identify and reserve slot; wait; extract & clear; unlock * conceptualize : Distinct PutLock and TakeLock implemented as ticket lock or PTL Distinct arrival cursors but share per-slot "Turn" variable provides exclusive role-based access to slot's mailbox field put() acquires exclusive access to a slot for purposes of "deposit" assigns slot round-robin and then acquires deposit access rights/perms to that slot take() acquires exclusive access to slot for purposes of "withdrawal" assigns slot round-robin and then acquires withdrawal access rights/perms to that slot At any given time, only one thread can have withdrawal access to a slot at any given time, only one thread can have deposit access to a slot Permissible for T1 to have deposit access and T2 to simultaneously have withdrawal access * round-robin for the purposes of; role-based; access mode; access role mailslot; mailbox; allocate/assign/identify slot rights; permission; license; access permission; * PTL/Ticket hybrid Asymmetric usage ; owner oblivious lock-unlock pairing K-exclusion add Grant cursor pass message m from lock to unlock via Slots[] array Cursor performs 2 functions : + PTL ticket + Assigns request to slot in round-robin fashion Deconstruct protocol : explication put() : allocate slot in round-robin fashion acquire PTL for "put" access store message into slot associated with PTL index take() : Acquire PTL for "take" access // doorway step seq = fetchAdd (&Grant, 1) s = &Slots[seq & Mask] // waiting phase while s-Turn != seq : pause Extract : wait for s-mailbox to be full v = s-mailbox s-mailbox = null Release PTL for both "put" and "take" access s-Turn = seq + Mask + 1 * Slot round-robin assignment and lock "doorway" protocol leverage the same cursor and FetchAdd operation on that cursor FetchAdd (&Cursor,1) + round-robin slot assignment and dispersal + PTL/ticket lock "doorway" step waiting phase is via "Turn" field in slot * PTLQueue uses 2 cursors -- put and take. Acquire "put" access to slot via PTL-like lock Acquire "take" access to slot via PTL-like lock 2 locks : put and take -- at most one thread can access slot's mailbox Both locks use same "turn" field Like multilane : 2 cursors : put and take slot is simple 1-capacity mailbox instead of queue Borrow per-slot turn/grant from PTL Provides strict FIFO Lock slot : put-vs-put take-vs-take at most one put accesses slot at any one time at most one put accesses take at any one time reduction to 1-vs-1 instead of N-vs-M concurrency Per slot locks for put/take Release put/take by advancing turn * is instrumental in ... * P-V Semaphore vs lock vs K-exclusion * See also : FastQueues-excerpt.java dice-etc/queue-mpmc-bounded-blocking-circular-xadd/ * PTLQueue is the same as PTLQB - identical * Expedient return; ASAP; prompt; immediately * Lamport's Bakery algorithm : doorway step then waiting phase Threads arriving at doorway obtain a unique ticket number Threads enter in ticket order * In the terminology of Reed and Kanodia a ticket lock corresponds to the busy-wait implementation of a semaphore using an eventcount and a sequencer It can also be thought of as an optimization of Lamport's bakery lock was designed for fault-tolerance rather than performance Instead of spinning on the release counter, processors using a bakery lock repeatedly examine the tickets of their peers --

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  • RHEL - blocked FC remote port time out: saving binding

    - by Dev G
    My Server went into a faulty state since the database could not write on the partition. I found out that the partition went into Read Only mode. Finally to fix it, I had to do a hard reboot. Linux 2.6.18-164.el5PAE #1 SMP Tue Aug 18 15:59:11 EDT 2009 i686 i686 i386 GNU/Linux /var/log/messages Oct 31 00:56:45 ota3g1 Had[17275]: VCS ERROR V-16-1-10214 Concurrency Violation:CurrentCount increased above 1 for failover group sg_network Oct 31 00:57:05 ota3g1 Had[17275]: VCS CRITICAL V-16-1-50086 CPU usage on ota3g1.mtsallstream.com is 100% Oct 31 01:01:47 ota3g1 Had[17275]: VCS ERROR V-16-1-10214 Concurrency Violation:CurrentCount increased above 1 for failover group sg_network Oct 31 01:06:50 ota3g1 Had[17275]: VCS ERROR V-16-1-10214 Concurrency Violation:CurrentCount increased above 1 for failover group sg_network Oct 31 01:11:52 ota3g1 Had[17275]: VCS ERROR V-16-1-10214 Concurrency Violation:CurrentCount increased above 1 for failover group sg_network Oct 31 01:12:10 ota3g1 kernel: lpfc 0000:29:00.1: 1:1305 Link Down Event x2 received Data: x2 x20 x80000 x0 x0 Oct 31 01:12:10 ota3g1 kernel: lpfc 0000:29:00.1: 1:1303 Link Up Event x3 received Data: x3 x1 x10 x1 x0 x0 0 Oct 31 01:12:12 ota3g1 kernel: lpfc 0000:29:00.1: 1:1305 Link Down Event x4 received Data: x4 x20 x80000 x0 x0 Oct 31 01:12:40 ota3g1 kernel: rport-8:0-0: blocked FC remote port time out: saving binding Oct 31 01:12:40 ota3g1 kernel: lpfc 0000:29:00.1: 1:(0):0203 Devloss timeout on WWPN 20:25:00:a0:b8:74:f5:65 NPort x0000e4 Data: x0 x7 x0 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 38617577 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 283532153 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 90825 Oct 31 01:12:40 ota3g1 kernel: Aborting journal on device dm-16. Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 868841 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: Aborting journal on device dm-10. Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 37759889 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 283349449 Oct 31 01:12:40 ota3g1 kernel: printk: 6 messages suppressed. Oct 31 01:12:40 ota3g1 kernel: Aborting journal on device dm-12. Oct 31 01:12:40 ota3g1 kernel: EXT3-fs error (device dm-12) in ext3_reserve_inode_write: Journal has aborted Oct 31 01:12:40 ota3g1 kernel: Buffer I/O error on device dm-16, logical block 1545 Oct 31 01:12:40 ota3g1 kernel: lost page write due to I/O error on dm-16 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 12745 Oct 31 01:12:40 ota3g1 kernel: Buffer I/O error on device dm-10, logical block 1545 Oct 31 01:12:40 ota3g1 kernel: EXT3-fs error (device dm-16) in ext3_reserve_inode_write: Journal has aborted Oct 31 01:12:40 ota3g1 kernel: lost page write due to I/O error on dm-10 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 37749121 Oct 31 01:12:40 ota3g1 kernel: Buffer I/O error on device dm-12, logical block 0 Oct 31 01:12:40 ota3g1 kernel: lost page write due to I/O error on dm-12 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: EXT3-fs error (device dm-12) in ext3_dirty_inode: Journal has aborted Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 37757897 Oct 31 01:12:40 ota3g1 kernel: Buffer I/O error on device dm-12, logical block 1097 Oct 31 01:12:40 ota3g1 kernel: lost page write due to I/O error on dm-12 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 283337089 Oct 31 01:12:40 ota3g1 kernel: Buffer I/O error on device dm-16, logical block 0 Oct 31 01:12:40 ota3g1 kernel: lost page write due to I/O error on dm-16 Oct 31 01:12:40 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:40 ota3g1 kernel: EXT3-fs error (device dm-16) in ext3_dirty_inode: Journal has aborted Oct 31 01:12:40 ota3g1 kernel: end_request: I/O error, dev sdi, sector 37749121 Oct 31 01:12:40 ota3g1 kernel: Buffer I/O error on device dm-12, logical block 0 Oct 31 01:12:41 ota3g1 kernel: lost page write due to I/O error on dm-12 Oct 31 01:12:41 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 Oct 31 01:12:41 ota3g1 kernel: end_request: I/O error, dev sdi, sector 283337089 Oct 31 01:12:41 ota3g1 kernel: Buffer I/O error on device dm-16, logical block 0 Oct 31 01:12:41 ota3g1 kernel: lost page write due to I/O error on dm-16 Oct 31 01:12:41 ota3g1 kernel: sd 8:0:0:4: SCSI error: return code = 0x00010000 df -h Filesystem Size Used Avail Use% Mounted on /dev/mapper/cciss-root 4.9G 730M 3.9G 16% / /dev/mapper/cciss-home 9.7G 1.2G 8.1G 13% /home /dev/mapper/cciss-var 9.7G 494M 8.8G 6% /var /dev/mapper/cciss-usr 15G 2.6G 12G 19% /usr /dev/mapper/cciss-tmp 3.9G 153M 3.6G 5% /tmp /dev/sda1 996M 43M 902M 5% /boot tmpfs 5.9G 0 5.9G 0% /dev/shm /dev/mapper/cciss-product 25G 16G 7.4G 68% /product /dev/mapper/cciss-opt 20G 4.5G 14G 25% /opt /dev/mapper/dg_db1-vol_db1_system 18G 2.2G 15G 14% /database/OTADB/sys /dev/mapper/dg_db1-vol_db1_undo 18G 5.8G 12G 35% /database/OTADB/undo /dev/mapper/dg_db1-vol_db1_redo 8.9G 4.3G 4.2G 51% /database/OTADB/redo /dev/mapper/dg_db1-vol_db1_sgbd 8.9G 654M 7.8G 8% /database/OTADB/admin /dev/mapper/dg_db1-vol_db1_arch 98G 24G 69G 26% /database/OTADB/arch /dev/mapper/dg_db1-vol_db1_indexes 240G 14G 214G 6% /database/OTADB/index /dev/mapper/dg_db1-vol_db1_data 275G 47G 215G 18% /database/OTADB/data /dev/mapper/dg_dbrman-vol_db_rman 8.9G 351M 8.1G 5% /database/RMAN /dev/mapper/dg_app1-vol_app1 151G 113G 31G 79% /files/ota /etc/fstab /dev/cciss/root / ext3 defaults 1 1 /dev/cciss/home /home ext3 defaults 1 2 /dev/cciss/var /var ext3 defaults 1 2 /dev/cciss/usr /usr ext3 defaults 1 2 /dev/cciss/tmp /tmp ext3 defaults 1 2 LABEL=/boot /boot ext3 defaults 1 2 tmpfs /dev/shm tmpfs defaults 0 0 devpts /dev/pts devpts gid=5,mode=620 0 0 sysfs /sys sysfs defaults 0 0 proc /proc proc defaults 0 0 /dev/cciss/swap swap swap defaults 0 0 /dev/cciss/product /product ext3 defaults 1 2 /dev/cciss/opt /opt ext3 defaults 1 2 /dev/dg_db1/vol_db1_system /database/OTADB/sys ext3 defaults 1 2 /dev/dg_db1/vol_db1_undo /database/OTADB/undo ext3 defaults 1 2 /dev/dg_db1/vol_db1_redo /database/OTADB/redo ext3 defaults 1 2 /dev/dg_db1/vol_db1_sgbd /database/OTADB/admin ext3 defaults 1 2 /dev/dg_db1/vol_db1_arch /database/OTADB/arch ext3 defaults 1 2 /dev/dg_db1/vol_db1_indexes /database/OTADB/index ext3 defaults 1 2 /dev/dg_db1/vol_db1_data /database/OTADB/data ext3 defaults 1 2 /dev/dg_dbrman/vol_db_rman /database/RMAN ext3 defaults 1 2 /dev/dg_app1/vol_app1 /files/ota ext3 defaults 1 2 Thanks for all the help.

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  • array and array_view from amp.h

    - by Daniel Moth
    This is a very long post, but it also covers what are probably the classes (well, array_view at least) that you will use the most with C++ AMP, so I hope you enjoy it! Overview The concurrency::array and concurrency::array_view template classes represent multi-dimensional data of type T, of N dimensions, specified at compile time (and you can later access the number of dimensions via the rank property). If N is not specified, it is assumed that it is 1 (i.e. single-dimensional case). They are rectangular (not jagged). The difference between them is that array is a container of data, whereas array_view is a wrapper of a container of data. So in that respect, array behaves like an STL container, whereas the closest thing an array_view behaves like is an STL iterator (albeit with random access and allowing you to view more than one element at a time!). The data in the array (whether provided at creation time or added later) resides on an accelerator (which is specified at creation time either explicitly by the developer, or set to the default accelerator at creation time by the runtime) and is laid out contiguously in memory. The data provided to the array_view is not stored by/in the array_view, because the array_view is simply a view over the real source (which can reside on the CPU or other accelerator). The underlying data is copied on demand to wherever the array_view is accessed. Elements which differ by one in the least significant dimension of the array_view are adjacent in memory. array objects must be captured by reference into the lambda you pass to the parallel_for_each call, whereas array_view objects must be captured by value (into the lambda you pass to the parallel_for_each call). Creating array and array_view objects and relevant properties You can create array_view objects from other array_view objects of the same rank and element type (shallow copy, also possible via assignment operator) so they point to the same underlying data, and you can also create array_view objects over array objects of the same rank and element type e.g.   array_view<int,3> a(b); // b can be another array or array_view of ints with rank=3 Note: Unlike the constructors above which can be called anywhere, the ones in the rest of this section can only be called from CPU code. You can create array objects from other array objects of the same rank and element type (copy and move constructors) and from other array_view objects, e.g.   array<float,2> a(b); // b can be another array or array_view of floats with rank=2 To create an array from scratch, you need to at least specify an extent object, e.g. array<int,3> a(myExtent);. Note that instead of an explicit extent object, there are convenience overloads when N<=3 so you can specify 1-, 2-, 3- integers (dependent on the array's rank) and thus have the extent created for you under the covers. At any point, you can access the array's extent thought the extent property. The exact same thing applies to array_view (extent as constructor parameters, incl. convenience overloads, and property). While passing only an extent object to create an array is enough (it means that the array will be written to later), it is not enough for the array_view case which must always wrap over some other container (on which it relies for storage space and actual content). So in addition to the extent object (that describes the shape you'd like to be viewing/accessing that data through), to create an array_view from another container (e.g. std::vector) you must pass in the container itself (which must expose .data() and a .size() methods, e.g. like std::array does), e.g.   array_view<int,2> aaa(myExtent, myContainerOfInts); Similarly, you can create an array_view from a raw pointer of data plus an extent object. Back to the array case, to optionally initialize the array with data, you can pass an iterator pointing to the start (and optionally one pointing to the end of the source container) e.g.   array<double,1> a(5, myVector.begin(), myVector.end()); We saw that arrays are bound to an accelerator at creation time, so in case you don’t want the C++ AMP runtime to assign the array to the default accelerator, all array constructors have overloads that let you pass an accelerator_view object, which you can later access via the accelerator_view property. Note that at the point of initializing an array with data, a synchronous copy of the data takes place to the accelerator, and then to copy any data back we'll see that an explicit copy call is required. This does not happen with the array_view where copying is on demand... refresh and synchronize on array_view Note that in the previous section on constructors, unlike the array case, there was no overload that accepted an accelerator_view for array_view. That is because the array_view is simply a wrapper, so the allocation of the data has already taken place before you created the array_view. When you capture an array_view variable in your call to parallel_for_each, the copy of data between the non-CPU accelerator and the CPU takes place on demand (i.e. it is implicit, versus the explicit copy that has to happen with the array). There are some subtleties to the on-demand-copying that we cover next. The assumption when using an array_view is that you will continue to access the data through the array_view, and not through the original underlying source, e.g. the pointer to the data that you passed to the array_view's constructor. So if you modify the data through the array_view on the GPU, the original pointer on the CPU will not "know" that, unless one of two things happen: you access the data through the array_view on the CPU side, i.e. using indexing that we cover below you explicitly call the array_view's synchronize method on the CPU (this also gets called in the array_view's destructor for you) Conversely, if you make a change to the underlying data through the original source (e.g. the pointer), the array_view will not "know" about those changes, unless you call its refresh method. Finally, note that if you create an array_view of const T, then the data is copied to the accelerator on demand, but it does not get copied back, e.g.   array_view<const double, 5> myArrView(…); // myArrView will not get copied back from GPU There is also a similar mechanism to achieve the reverse, i.e. not to copy the data of an array_view to the GPU. copy_to, data, and global copy/copy_async functions Both array and array_view expose two copy_to overloads that allow copying them to another array, or to another array_view, and these operations can also be achieved with assignment (via the = operator overloads). Also both array and array_view expose a data method, to get a raw pointer to the underlying data of the array or array_view, e.g. float* f = myArr.data();. Note that for array_view, this only works when the rank is equal to 1, due to the data only being contiguous in one dimension as covered in the overview section. Finally, there are a bunch of global concurrency::copy functions returning void (and corresponding concurrency::copy_async functions returning a future) that allow copying between arrays and array_views and iterators etc. Just browse intellisense or amp.h directly for the full set. Note that for array, all copying described throughout this post is deep copying, as per other STL container expectations. You can never have two arrays point to the same data. indexing into array and array_view plus projection Reading or writing data elements of an array is only legal when the code executes on the same accelerator as where the array was bound to. In the array_view case, you can read/write on any accelerator, not just the one where the original data resides, and the data gets copied for you on demand. In both cases, the way you read and write individual elements is via indexing as described next. To access (or set the value of) an element, you can index into it by passing it an index object via the subscript operator. Furthermore, if the rank is 3 or less, you can use the function ( ) operator to pass integer values instead of having to use an index object. e.g. array<float,2> arr(someExtent, someIterator); //or array_view<float,2> arr(someExtent, someContainer); index<2> idx(5,4); float f1 = arr[idx]; float f2 = arr(5,4); //f2 ==f1 //and the reverse for assigning, e.g. arr(idx[0], 7) = 6.9; Note that for both array and array_view, regardless of rank, you can also pass a single integer to the subscript operator which results in a projection of the data, and (for both array and array_view) you get back an array_view of rank N-1 (or if the rank was 1, you get back just the element at that location). Not Covered In this already very long post, I am not going to cover three very cool methods (and related overloads) that both array and array_view expose: view_as, section, reinterpret_as. We'll revisit those at some point in the future, probably on the team blog. Comments about this post by Daniel Moth welcome at the original blog.

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