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  • "Possible SYN flooding" in log despite low number of SYN_RECV connections

    - by al4
    Recently we had an apache server which was responding very slowly due to SYN flooding. The workaround for this was to enable tcp_syncookies (net.ipv4.tcp_syncookies=1 in /etc/sysctl.conf). I posted a question about this here if you want more background. After enabling syncookies we started seeing the following message in /var/log/messages approximately every 60 seconds: [84440.731929] possible SYN flooding on port 80. Sending cookies. Vinko Vrsalovic informed me that this means the syn backlog is getting full, so I raised tcp_max_syn_backlog to 4096. At some point I also lowered tcp_synack_retries to 3 (down from the default of 5) by issuing sysctl -w net.ipv4.tcp_synack_retries=3. After doing this, the frequency seemed to drop, with the interval of the messages varying between roughly 60 and 180 seconds. Next I issued sysctl -w net.ipv4.tcp_max_syn_backlog=65536, but am still getting the message in the log. Throughout all this I've been watching the number of connections in SYN_RECV state (by running watch --interval=5 'netstat -tuna |grep "SYN_RECV"|wc -l'), and it never goes higher than about 240, much much lower than the size of the backlog. Yet I have a Red Hat server which hovers around 512 (limit on this server is the default of 1024). Are there any other tcp settings which would limit the size of the backlog or am I barking up the wrong tree? Should the number of SYN_RECV connections in netstat -tuna correlate to the size of the backlog? Update As best I can tell I'm dealing with legitimate connections here, netstat -tuna|wc -l hovers around 5000. I've been researching this today and found this post from a last.fm employee, which has been rather useful. I've also discovered that the tcp_max_syn_backlog has no effect when syncookies are enabled (as per this link) So as a next step I set the following in sysctl.conf: net.ipv4.tcp_syn_retries = 3 # default=5 net.ipv4.tcp_synack_retries = 3 # default=5 net.ipv4.tcp_max_syn_backlog = 65536 # default=1024 net.core.wmem_max = 8388608 # default=124928 net.core.rmem_max = 8388608 # default=131071 net.core.somaxconn = 512 # default = 128 net.core.optmem_max = 81920 # default = 20480 I then setup my response time test, ran sysctl -p and disabled syncookies by sysctl -w net.ipv4.tcp_syncookies=0. After doing this the number of connections in the SYN_RECV state still remained around 220-250, but connections were starting to delay again. Once I noticed these delays I re-enabled syncookies and the delays stopped. I believe what I was seeing was still an improvement from the initial state, however some requests were still delayed which is much worse than having syncookies enabled. So it looks like I'm stuck with them enabled until we can get some more servers online to cope with the load. Even then, I'm not sure I see a valid reason to disable them again as they're only sent (apparently) when the server's buffers get full. But the syn backlog doesn't appear to be full with only ~250 connections in the SYN_RECV state! Is it possible that the SYN flooding message is a red herring and it's something other than the syn_backlog that's filling up? If anyone has any other tuning options I haven't tried yet I'd be more than happy to try them out, but I'm starting to wonder if the syn_backlog setting isn't being applied properly for some reason.

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  • Error during GENERAL_REQUEST_ENTITY for POST results in ASP .NET session state never getting unlocked

    - by Jesse
    I have been trying to chase down the root cause of a condition where ASP .NET session state remains locked after a web request has been terminated due to an unexpected error. We use the SQL Server session state provider for session because we have several servers in a web farm. This issue first presented itself in the form of many requests getting stuck on the 'AcquireRequestState' event of their lifecycle for no apparent reason. I was able to finding corresponding entries for these requests in the session state database in SQL server that were all locked (column Locked = 1). I was also able to correlate these requests to entries in the IIS log with HTTP status codes of 500 (with a sub status of 0). These findings lead me to believe that, in some cases, a request was erroring out but was NOT releasing its lock on session state like it should. I enabled Failed Request Tracing in IIS for the website in question for status code 500 with all available providers selected each with the 'Verbose' setting for verbosity. I've since gathered several failed traces that have caused permanently locked ASP .NET sessions. They all share the same characteristics: They are all 'POST' requests where the browser is posting data to be processed/saved. They all have events indicating that the 'Session' module was invoked during the REQUEST_ACQUIRE_STATE event. At this point the request would have marked the row in the session state database as being "locked". This is normal and expected. They all have GENERAL_READ_ENTITY_START, GENERAL_READ_ENTITY_END, and GENERAL_REQUEST_ENTITY entries that appear to be reading in the data that was posted to the server as part of the request. This appears to be a buffered operation as these events get repeated over and over with each one reading in some subset of the posted data. At some point during the 'read entity' related events and error occurs. Some have the error code "Incorrect function. (0x80070001)" and others have "The I/O operation has been aborted because of either a thread exit or an application request. (0x800703e3)". Once the error has been encountered, they all jump directly to the END_REQUEST events. The issue here is that, under normal circumstances, there should be a RELEASE_REQUEST_STATE event that will allow the Session module to release the lock it has on the session. This event is being skipped in this scenario. Just to be sure, I enabled failed request tracing for the '200' status code as well and generated several traces of successful requests that do have the RELEASE_REQUEST_STATE event being handled by the Session module. My theory at this point is that some kind of network issue is causing the 'Incorrect function' and 'I/O operation has been aborted because of either a thread exit or an application request' errors, but I don't understand why this seems to be causing the request handling to skip over the RELEASE_REQUEST_STATE event. If the request went through REQUEST_ACQUIRE_STATE it seems like it should also hit RELEASE_REQUEST_STATE as well. I'm loathe to say that this is a bug in IIS or ASP .NET, but it certainly appears that way to me at this point. Are there any configuration changes I could make to help ensure that 'RELEASE_REQUEST_STATE' is fired under all error conditions?

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  • Log transport and aggregation at scale

    - by markdrayton
    How're you analysing log files from UNIX/Linux machines? We run several hundred servers which all generate their own log files, either directly or through syslog. I'm looking for a decent solution to aggregate these and pick out important events. This problem breaks down into 3 components: 1) Message transport The classic way is to use syslog to log messages to a remote host. This works fine for applications that log into syslog but less useful for apps that write to a local file. Solutions for this might include having the application log into a FIFO connected to a program to send the message using syslog, or by writing something that will grep the local files and send the output to the central syslog host. However, if we go to the trouble of writing tools to get messages into syslog would we be better replacing the whole lot with something like Facebook's Scribe which offers more flexibility and reliability than syslog? 2) Message aggregation Log entries seem to fall into one of two types: per-host and per-service. Per-host messages are those which occur on one machine; think disk failures or suspicious logins. Per-service messages occur on most or all of the hosts running a service. For instance, we want to know when Apache finds an SSI error but we don't want the same error from 100 machines. In all cases we only want to see one of each type of message: we don't want 10 messages saying the same disk has failed, and we don't want a message each time a broken SSI is hit. One approach to solving this is to aggregate multiple messages of the same type into one on each host, send the messages to a central server and then aggregate messages of the same kind into one overall event. SER can do this but it's awkward to use. Even after a couple of days of fiddling I had only rudimentary aggregations working and had to constantly look up the logic SER uses to correlate events. It's powerful but tricky stuff: I need something which my colleagues can pick up and use in the shortest possible time. SER rules don't meet that requirement. 3) Generating alerts How do we tell our admins when something interesting happens? Mail the group inbox? Inject into Nagios? So, how're you solving this problem? I don't expect an answer on a plate; I can work out the details myself but some high-level discussion on what is surely a common problem would be great. At the moment we're using a mishmash of cron jobs, syslog and who knows what else to find events. This isn't extensible, maintainable or flexible and as such we miss a lot of stuff we shouldn't. Updated: we're already using Nagios for monitoring which is great for detected down hosts/testing services/etc but less useful for scraping log files. I know there are log plugins for Nagios but I'm interested in something more scalable and hierarchical than per-host alerts.

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  • Mulit-tenant ASP.NET MVC – Controllers

    - by zowens
    Part I – Introduction Part II – Foundation   The time has come to talk about controllers in a multi-tenant ASP.NET MVC architecture. This is actually the most critical design decision you will make when dealing with multi-tenancy with MVC. In my design, I took into account the design goals I mentioned in the introduction about inversion of control and what a tenant is to my design. Be aware that this is only one way to achieve multi-tenant controllers.   The Premise MvcEx (which is a sample written by Rob Ashton) utilizes dynamic controllers. Essentially a controller is “dynamic” in that multiple action results can be placed in different “controllers” with the same name. This approach is a bit too complicated for my design. I wanted to stick with plain old inheritance when dealing with controllers. The basic premise of my controller design is that my main host defines a set of universal controllers. It is the responsibility of the tenant to decide if the tenant would like to utilize these core controllers. This can be done either by straight usage of the controller or inheritance for extension of the functionality defined by the controller. The controller is resolved by a StructureMap container that is attached to the tenant, as discussed in Part II.   Controller Resolution I have been thinking about two different ways to resolve controllers with StructureMap. One way is to use named instances. This is a really easy way to simply pull the controller right out of the container without a lot of fuss. I ultimately chose not to use this approach. The reason for this decision is to ensure that the controllers are named properly. If a controller has a different named instance that the controller type, then the resolution has a significant disconnect and there are no guarantees. The final approach, the one utilized by the sample, is to simply pull all controller types and correlate the type with a controller name. This has a bit of a application start performance disadvantage, but is significantly more approachable for maintainability. For example, if I wanted to go back and add a “ControllerName” attribute, I would just have to change the ControllerFactory to suit my needs.   The Code The container factory that I have built is actually pretty simple. That’s really all we need. The most significant method is the GetControllersFor method. This method makes the model from the Container and determines all the concrete types for IController.  The thing you might notice is that this doesn’t depend on tenants, but rather containers. You could easily use this controller factory for an application that doesn’t utilize multi-tenancy. public class ContainerControllerFactory : IControllerFactory { private readonly ThreadSafeDictionary<IContainer, IDictionary<string, Type>> typeCache; public ContainerControllerFactory(IContainerResolver resolver) { Ensure.Argument.NotNull(resolver, "resolver"); this.ContainerResolver = resolver; this.typeCache = new ThreadSafeDictionary<IContainer, IDictionary<string, Type>>(); } public IContainerResolver ContainerResolver { get; private set; } public virtual IController CreateController(RequestContext requestContext, string controllerName) { var controllerType = this.GetControllerType(requestContext, controllerName); if (controllerType == null) return null; var controller = this.ContainerResolver.Resolve(requestContext).GetInstance(controllerType) as IController; // ensure the action invoker is a ContainerControllerActionInvoker if (controller != null && controller is Controller && !((controller as Controller).ActionInvoker is ContainerControllerActionInvoker)) (controller as Controller).ActionInvoker = new ContainerControllerActionInvoker(this.ContainerResolver); return controller; } public void ReleaseController(IController controller) { if (controller != null && controller is IDisposable) ((IDisposable)controller).Dispose(); } internal static IEnumerable<Type> GetControllersFor(IContainer container) { Ensure.Argument.NotNull(container); return container.Model.InstancesOf<IController>().Select(x => x.ConcreteType).Distinct(); } protected virtual Type GetControllerType(RequestContext requestContext, string controllerName) { Ensure.Argument.NotNull(requestContext, "requestContext"); Ensure.Argument.NotNullOrEmpty(controllerName, "controllerName"); var container = this.ContainerResolver.Resolve(requestContext); var typeDictionary = this.typeCache.GetOrAdd(container, () => GetControllersFor(container).ToDictionary(x => ControllerFriendlyName(x.Name))); Type found = null; if (typeDictionary.TryGetValue(ControllerFriendlyName(controllerName), out found)) return found; return null; } private static string ControllerFriendlyName(string value) { return (value ?? string.Empty).ToLowerInvariant().Without("controller"); } } One thing to note about my implementation is that we do not use namespaces that can be utilized in the default ASP.NET MVC controller factory. This is something that I don’t use and have no desire to implement and test. The reason I am not using namespaces in this situation is because each tenant has its own namespaces and the routing would not make sense in this case.   Because we are using IoC, dependencies are automatically injected into the constructor. For example, a tenant container could implement it’s own IRepository and a controller could be defined in the “main” project. The IRepository from the tenant would be injected into the main project’s controller. This is quite a useful feature.   Again, the source code is on GitHub here.   Up Next Up next is the view resolution. This is a complicated issue, so be prepared. I hope that you have found this series useful. If you have any questions about my implementation so far, send me an email or DM me on Twitter. I have had a lot of great conversations about multi-tenancy so far and I greatly appreciate the feedback!

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  • Big Data – Is Big Data Relevant to me? – Big Data Questionnaires – Guest Post by Vinod Kumar

    - by Pinal Dave
    This guest post is by Vinod Kumar. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Working on various versions of SQL Server 7.0, Oracle 7.3 and other database technologies – he now works with the Microsoft Technology Center (MTC) as a Technology Architect. Let us read the blog post in Vinod’s own voice. I think the series from Pinal is a good one for anyone planning to start on Big Data journey from the basics. In my daily customer interactions this buzz of “Big Data” always comes up, I react generally saying – “Sir, do you really have a ‘Big Data’ problem or do you have a big Data problem?” Generally, there is a silence in the air when I ask this question. Data is everywhere in organizations – be it big data, small data, all data and for few it is bad data which is same as no data :). Wow, don’t discount me as someone who opposes “Big Data”, I am a big supporter as much as I am a critic of the abuse of this term by the people. In this post, I wanted to let my mind flow so that you can also think in the direction I want you to see these concepts. In any case, this is not an exhaustive dump of what is in my mind – but you will surely get the drift how I am going to question Big Data terms from customers!!! Is Big Data Relevant to me? Many of my customers talk to me like blank whiteboard with no idea – “why Big Data”. They want to jump into the bandwagon of technology and they want to decipher insights from their unexplored data a.k.a. unstructured data with structured data. So what are these industry scenario’s that come to mind? Here are some of them: Financials Fraud detection: Banks and Credit cards are monitoring your spending habits on real-time basis. Customer Segmentation: applies in every industry from Banking to Retail to Aviation to Utility and others where they deal with end customer who consume their products and services. Customer Sentiment Analysis: Responding to negative brand perception on social or amplify the positive perception. Sales and Marketing Campaign: Understand the impact and get closer to customer delight. Call Center Analysis: attempt to take unstructured voice recordings and analyze them for content and sentiment. Medical Reduce Re-admissions: How to build a proactive follow-up engagements with patients. Patient Monitoring: How to track Inpatient, Out-Patient, Emergency Visits, Intensive Care Units etc. Preventive Care: Disease identification and Risk stratification is a very crucial business function for medical. Claims fraud detection: There is no precise dollars that one can put here, but this is a big thing for the medical field. Retail Customer Sentiment Analysis, Customer Care Centers, Campaign Management. Supply Chain Analysis: Every sensors and RFID data can be tracked for warehouse space optimization. Location based marketing: Based on where a check-in happens retail stores can be optimize their marketing. Telecom Price optimization and Plans, Finding Customer churn, Customer loyalty programs Call Detail Record (CDR) Analysis, Network optimizations, User Location analysis Customer Behavior Analysis Insurance Fraud Detection & Analysis, Pricing based on customer Sentiment Analysis, Loyalty Management Agents Analysis, Customer Value Management This list can go on to other areas like Utility, Manufacturing, Travel, ITES etc. So as you can see, there are obviously interesting use cases for each of these industry verticals. These are just representative list. Where to start? A lot of times I try to quiz customers on a number of dimensions before starting a Big Data conversation. Are you getting the data you need the way you want it and in a timely manner? Can you get in and analyze the data you need? How quickly is IT to respond to your BI Requests? How easily can you get at the data that you need to run your business/department/project? How are you currently measuring your business? Can you get the data you need to react WITHIN THE QUARTER to impact behaviors to meet your numbers or is it always “rear-view mirror?” How are you measuring: The Brand Customer Sentiment Your Competition Your Pricing Your performance Supply Chain Efficiencies Predictive product / service positioning What are your key challenges of driving collaboration across your global business?  What the challenges in innovation? What challenges are you facing in getting more information out of your data? Note: Garbage-in is Garbage-out. Hold good for all reporting / analytics requirements Big Data POCs? A number of customers get into the realm of setting a small team to work on Big Data – well it is a great start from an understanding point of view, but I tend to ask a number of other questions to such customers. Some of these common questions are: To what degree is your advanced analytics (natural language processing, sentiment analysis, predictive analytics and classification) paired with your Big Data’s efforts? Do you have dedicated resources exploring the possibilities of advanced analytics in Big Data for your business line? Do you plan to employ machine learning technology while doing Advanced Analytics? How is Social Media being monitored in your organization? What is your ability to scale in terms of storage and processing power? Do you have a system in place to sort incoming data in near real time by potential value, data quality, and use frequency? Do you use event-driven architecture to manage incoming data? Do you have specialized data services that can accommodate different formats, security, and the management requirements of multiple data sources? Is your organization currently using or considering in-memory analytics? To what degree are you able to correlate data from your Big Data infrastructure with that from your enterprise data warehouse? Have you extended the role of Data Stewards to include ownership of big data components? Do you prioritize data quality based on the source system (that is Facebook/Twitter data has lower quality thresholds than radio frequency identification (RFID) for a tracking system)? Do your retention policies consider the different legal responsibilities for storing Big Data for a specific amount of time? Do Data Scientists work in close collaboration with Data Stewards to ensure data quality? How is access to attributes of Big Data being given out in the organization? Are roles related to Big Data (Advanced Analyst, Data Scientist) clearly defined? How involved is risk management in the Big Data governance process? Is there a set of documented policies regarding Big Data governance? Is there an enforcement mechanism or approach to ensure that policies are followed? Who is the key sponsor for your Big Data governance program? (The CIO is best) Do you have defined policies surrounding the use of social media data for potential employees and customers, as well as the use of customer Geo-location data? How accessible are complex analytic routines to your user base? What is the level of involvement with outside vendors and third parties in regard to the planning and execution of Big Data projects? What programming technologies are utilized by your data warehouse/BI staff when working with Big Data? These are some of the important questions I ask each customer who is actively evaluating Big Data trends for their organizations. These questions give you a sense of direction where to start, what to use, how to secure, how to analyze and more. Sign off Any Big data is analysis is incomplete without a compelling story. The best way to understand this is to watch Hans Rosling – Gapminder (2:17 to 6:06) videos about the third world myths. Don’t get overwhelmed with the Big Data buzz word, the destination to what your data speaks is important. In this blog post, we did not particularly look at any Big Data technologies. This is a set of questionnaire one needs to keep in mind as they embark their journey of Big Data. I did write some of the basics in my blog: Big Data – Big Hype yet Big Opportunity. Do let me know if these questions make sense?  Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Big Visible Charts

    - by Robert May
    An important part of Agile is the concept of transparency and visibility. In proper functioning teams, stakeholders can look at any team at any time in the iteration or release and see how that team is doing by simply looking at what we call Big Visible Charts. If you’ve done Scrum, you’ve seen these charts. However, interpreting these charts can often be an art form. There are several different charts that can be useful. In this newsletter, I’ll focus on the Iteration Burndown and Cumulative Flow charts. I’ve included a copy of the spreadsheet that I used to create the charts, and if you don’t have a tool that creates them for you, you can use this spreadsheet to do so. Our preferred tool for managing Scrum projects is Rally. Rally creates all of these charts for you, saving you quite a bit of time. The Iteration Burndown and Cumulative Flow Charts This is the main chart that teams use. Although less useful to stakeholders, this chart is critical to the team and provides quite a bit of information to the team about how their iteration is going. Most charts are a combination of the charts below, so you may need to combine aspects of each section to understand what is happening in your iterations. Ideal Ah, isn’t that a pretty picture? Unfortunately, it’s also very unrealistic. I’ve seen iterations that come close to ideal, but never that match perfectly. If your iteration matches perfectly, chances are, someone is playing with the numbers. Reality is just too difficult to have a burndown chart that matches this exactly. Late Planning Iteration started, but the team didn’t. You can tell this by the fact that the real number of estimated hours didn’t appear until day two. In the cumulative flow, you can also see that nothing was defined in Day one and two. You want to avoid situations like this. You’ll note that the team had to burn faster than is ideal to meet the iteration because of the late planning. This often results in long weeks and days. Testing Starved Determining whether or not testing is starved is difficult without the cumulative flow. The pattern in the burndown could be nothing more that developers not completing stories early enough or could be caused by stories being too big. With the cumulative flow, however, you see that only small bites are in progress and stories were completed early, but testing didn’t start testing until the end of the iteration, and didn’t complete testing all stories in the iteration. When this happens, question whether or not your testing resources are sufficient for your team and whether or not acceptance is adequately defined. No Testing With this one, both graphs show the same thing; the team needs testers and testing! Without testing, what was completed cannot be verified to make sure that it is acceptable to the business. If you find yourself in this situation, review your testing practices and acceptance testing process and make changes today. Late Development With this situation, both graphs tell a story. In the top graph, you can see that the hours failed to burn down as quickly as the team expected. This could be caused by the team not correctly estimating their hours or the team could have had illness or some other issue that affected them. Often, when teams are tackling something that is more unknown, they’ll run into technical barriers that cause the burn down to happen slower than expected. In the cumulative flow graph, you can see that not much was completed in the first few days. This could be because of illness or technical barriers or simply poor estimation. Testing was able to keep up with everything that was completed, however. No Tool Updating When you see graphs that look like this, you can be assured that it’s because the team is not updating the tool that generates the graphs. Review your policy for when they are to update. On the teams that I run, I require that each team member updates the tool at least once daily. You should also check to see how well the team is breaking down stories into tasks. If they’re creating few large tasks, graphs can look similar to this. As a general rule, I never allow tasks, other than Unit Testing and Uncertainty, to be greater than eight hours in duration. Scope Increase I always encourage team members to enter in however much time they think they have left on a task, even if that means increasing the total amount of time left to do. You get a much better and more realistic picture this way. Increasing time remaining could explain the burndown graph, but by looking at the cumulative flow graph, we can see that stories were added to the iteration and scope was increased. Since planning should consume all of the hours in the iteration, this is almost always a bad thing. If the scope change happened late in the iteration and the hours remaining were well below the ideal burn, then increasing scope is probably o.k., but estimation needs to get better. However, with the charts above, that’s clearly not what happened and the team was required to do extra work to make the iteration. If you find this happening, your product owner and ScrumMasters need training. The team also needs to learn to say no. Scope Decrease Scope decreases are just as bad as scope increases. Usually, graphs above show that the team did a poor job of estimating their stories and part way through had to reduce scope to change the iteration. This will happen once in a while, but if you find it’s a pattern on your team, you need to re-evaluate planning. Some teams are hopelessly optimistic. In those cases, I’ll introduce a task I call “Uncertainty.” With Uncertainty, the team estimates how many hours they might need if things don’t go well with the tasks they’ve defined. They try to estimate things that could go poorly and increase the time appropriately. Having an Uncertainty task allows them to have a low and high estimate. Uncertainty should not just be an arbitrary buffer. It must correlate to real uncertainty in the tasks that have been defined. Stories are too Big Often, we see graphs like the ones above. Note that the burndown looks fairly good, other than the chunky acceptance of stories. However, when you look at cumulative flow, you can see that at one point, everything is in progress. This is a bad thing. When you see graphs like this, you’re in one of two states. You may just have a very small team and can only handle one or two stories in your iteration. If you have more than one or two people, then the most likely problem is that your stories are far too big. To combat this, break large high hour stories into smaller pieces that can be completed independently and accepted independently. If you don’t, you’ll likely be requiring your testers to do heroic things to complete testing on the last day of the iteration and you’re much more likely to have the entire iteration fail, because of the limited amount of things that can be completed. Summary There are other charts that can be useful when doing scrum. If you don’t have any big visible charts, you really need to evaluate your process and change. These charts can provide the team a wealth of information and help you write better software. If you have any questions about charts that you’re seeing on your team, contact me with a screen capture of the charts and I’ll tell you what I’m seeing in those charts. I always want this information to be useful, so please let me know if you have other questions. Technorati Tags: Agile

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  • Spacewalk 2.0 provided to manage Oracle Linux systems

    - by wcoekaer
    Oracle Linux customers have a few options to manage and provision their servers. We provide a license to use Oracle Enterprise Manager's Linux OS management, monitoring and provisioning features without additional cost for every server that has an Oracle Linux support subscription. So there is no additional pack to license and no additional per server cost, it's all included in our Basic, Premier and Systems support subscriptions. The nice thing with Oracle Enterprise Manager is that you end up with a single management product that can manage all aspects of your software stack. You have complete insight into the applications running, you have roles and responsibilities, you have third party connectors for storage or other products and it makes it very easy and convenient to correlate data and events when something happens. If you use Oracle VM as well, you end up with a complete cloud portal with selfservice, chargeback, etc... Another, much simpler option, is just using yum. It is very easy to take a server and create directories and expose these through apache as repositories. You can have a simple yum config on each server pointing to a few specific repositories. It requires some manual effort in terms of creating directories, downloading packages and creating local repo files but it's easy to do and for many people a preferred solution. There are also a good number of customers that just connect their servers directly to ULN or to our free update server public-yum. Just to re-iterate, our public-yum servers have all the errata and updates available for free. Now we added another option. Many of our customers have switched from a competing Linux vendor and they had familiarity with their management tools. Switching to Oracle for support is very easy since we don't require changes to the installed servers but we also want to make sure there is a very easy and almost transparent switch for the management tools as well. While Oracle Enterprise Manager is our preferred way of managing systems, we now are offering Spacewalk 2.0 to our customers. The community project can be found here. We have made a few changes to ensure easy and complete support for Oracle Linux, tested it with public-yum, etc.. You can find the rpms in our public-yum repos at http://public-yum.oracle.com/repo/OracleLinux/OL6/. There are repositories for spacewalk server and then for each version (OL5,OL6) and architecture (x86 and x86-64) we have the client repositories as well. Spacewalk itself is only made available for OL6 x86-64. Documentation can be found here. I set it up myself and here are some quick steps on how you can get going in just a matter of minutes: Spacewalk Server Installation : 1) Installing an Oracle Database Use an existing Oracle Database or install a new Oracle Database (Standard or Enterprise Edition) [at this time use 11g, we will add support for 12c in the near future]. This database can be installed on the spacewalk server or on a separate remote server. While Oracle XE might work to create a small sample POC, we do not support the use of Oracle XE, spacewalk repositories can become large and create a significant database workload. Customers can use their existing database licenses, they can download the database with a trial licence from http://edelivery.oracle.com or Oracle Linux subscribers (customers) will be allowed to use the Oracle Database as a spacewalk repository as part of their Oracle Linux subscription at no additional cost. |NOTE : spacewalk requires the database to be configured with the UTF8 characterset. |Installation will fail if your database does not use UTF8. |To verify if your database is configured correctly, run the following command in sqlplus: | |select value from nls_database_parameters where parameter='NLS_CHARACTERSET'; |This should return 'AL32UTF8' 2) Configure the database schema for spacewalk Ideally, create a tablespace in the database to hold the spacewalk schema tables/data; create tablespace spacewalk datafile '/u01/app/oracle/oradata/orcl/spacewalk.dbf' size 10G autoextend on; Create the database user spacewalk (or use some other schema name) in sqlplus. example : create user spacewalk identified by spacewalk; grant connect, resource to spacewalk; grant create table, create trigger, create synonym, create view, alter session to spacewalk; grant unlimited tablespace to spacewalk; alter user spacewalk default tablespace spacewalk; 4) Spacewalk installation and configuration Spacewalk server requires an Oracle Linux 6 x86-64 system. Clients can be Oracle Linux 5 or 6, both 32- and 64bit. The server is only supported on OL6/64bit. The easiest way to get started is to do a 'Minimal' install of Oracle Linux on a server and configure the yum repository to include the spacewalk repo from public-yum. Once you have a system with a minimal install, modify your yum repo to include the spacewalk repo. Example : edit /etc/yum.repos.d/public-yum-ol.repo and add the following lines at the end of the file : [spacewalk] name=spacewalk baseurl=http://public-yum.oracle.com/repo/OracleLinux/OL6/spacewalk20/server/$basearch/ gpgkey=http://public-yum.oracle.com/RPM-GPG-KEY-oracle-ol6 gpgcheck=1 enabled=1 Install the following pre-requisite packages on your spacewalk server : oracle-instantclient11.2-basic-11.2.0.3.0-1.x86_64 oracle-instantclient11.2-sqlplus-11.2.0.3.0-1.x86_64 rpm -ivh oracle-instantclient11.2-basic-11.2.0.3.0-1.x86_64 rpm -ivh oracle-instantclient11.2-sqlplus-11.2.0.3.0-1.x86_64 The above RPMs can be found on the Oracle Technology Network website : http://www.oracle.com/technetwork/topics/linuxx86-64soft-092277.html As the root user, configure the library path to include the Oracle Instant Client libraries : cd /etc/ld.so.conf.d echo /usr/lib/oracle/11.2/client64/lib oracle-instantclient11.2.conf ldconfig Install spacewalk : # yum install spacewalk-oracle The above yum command should download and install all required packages to run spacewalk on your local server. | NOTE : if you did a full, desktop or workstation installation, | you have to remove the JTA package | BEFORE installing spacewalk-oracle (rpm -e --nodeps jta) Once the installation completes, simply run the spacewalk configuration tool and you are all set. (make sure to run the command with the 2 arguments) spacewalk-setup --disconnected --external-db Answer the questions during the setup, ensure you provide the current database user (example : spacewalk) and password (example : spacewalk) and database server hostname (the standard hostname of the server on which you have deployed the Oracle database) At the end of the setup script, your spacewalk server should be fully configured and you can log into the web portal. Use your favorite browser to connect to the website : http://[spacewalkserverhostname] The very first action will be to create the main admin account.

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  • How can a single disk in a hardware SATA RAID-10 array bring the entire array to a screeching halt?

    - by Stu Thompson
    Prelude: I'm a code-monkey that's increasingly taken on SysAdmin duties for my small company. My code is our product, and increasingly we provide the same app as SaaS. About 18 months ago I moved our servers from a premium hosting centric vendor to a barebones rack pusher in a tier IV data center. (Literally across the street.) This ment doing much more ourselves--things like networking, storage and monitoring. As part the big move, to replace our leased direct attached storage from the hosting company, I built a 9TB two-node NAS based on SuperMicro chassises, 3ware RAID cards, Ubuntu 10.04, two dozen SATA disks, DRBD and . It's all lovingly documented in three blog posts: Building up & testing a new 9TB SATA RAID10 NFSv4 NAS: Part I, Part II and Part III. We also setup a Cacit monitoring system. Recently we've been adding more and more data points, like SMART values. I could not have done all this without the awesome boffins at ServerFault. It's been a fun and educational experience. My boss is happy (we saved bucket loads of $$$), our customers are happy (storage costs are down), I'm happy (fun, fun, fun). Until yesterday. Outage & Recovery: Some time after lunch we started getting reports of sluggish performance from our application, an on-demand streaming media CMS. About the same time our Cacti monitoring system sent a blizzard of emails. One of the more telling alerts was a graph of iostat await. Performance became so degraded that Pingdom began sending "server down" notifications. The overall load was moderate, there was not traffic spike. After logging onto the application servers, NFS clients of the NAS, I confirmed that just about everything was experiencing highly intermittent and insanely long IO wait times. And once I hopped onto the primary NAS node itself, the same delays were evident when trying to navigate the problem array's file system. Time to fail over, that went well. Within 20 minuts everything was confirmed to be back up and running perfectly. Post-Mortem: After any and all system failures I perform a post-mortem to determine the cause of the failure. First thing I did was ssh back into the box and start reviewing logs. It was offline, completely. Time for a trip to the data center. Hardware reset, backup an and running. In /var/syslog I found this scary looking entry: Nov 15 06:49:44 umbilo smartd[2827]: Device: /dev/twa0 [3ware_disk_00], 6 Currently unreadable (pending) sectors Nov 15 06:49:44 umbilo smartd[2827]: Device: /dev/twa0 [3ware_disk_07], SMART Prefailure Attribute: 1 Raw_Read_Error_Rate changed from 171 to 170 Nov 15 06:49:45 umbilo smartd[2827]: Device: /dev/twa0 [3ware_disk_10], 16 Currently unreadable (pending) sectors Nov 15 06:49:45 umbilo smartd[2827]: Device: /dev/twa0 [3ware_disk_10], 4 Offline uncorrectable sectors Nov 15 06:49:45 umbilo smartd[2827]: Num Test_Description Status Remaining LifeTime(hours) LBA_of_first_error Nov 15 06:49:45 umbilo smartd[2827]: # 1 Short offline Completed: read failure 90% 6576 3421766910 Nov 15 06:49:45 umbilo smartd[2827]: # 2 Short offline Completed: read failure 90% 6087 3421766910 Nov 15 06:49:45 umbilo smartd[2827]: # 3 Short offline Completed: read failure 10% 5901 656821791 Nov 15 06:49:45 umbilo smartd[2827]: # 4 Short offline Completed: read failure 90% 5818 651637856 Nov 15 06:49:45 umbilo smartd[2827]: So I went to check the Cacti graphs for the disks in the array. Here we see that, yes, disk 7 is slipping away just like syslog says it is. But we also see that disk 8's SMART Read Erros are fluctuating. There are no messages about disk 8 in syslog. More interesting is that the fluctuating values for disk 8 directly correlate to the high IO wait times! My interpretation is that: Disk 8 is experiencing an odd hardware fault that results in intermittent long operation times. Somehow this fault condition on the disk is locking up the entire array Maybe there is a more accurate or correct description, but the net result has been that the one disk is impacting the performance of the whole array. The Question(s) How can a single disk in a hardware SATA RAID-10 array bring the entire array to a screeching halt? Am I being naïve to think that the RAID card should have dealt with this? How can I prevent a single misbehaving disk from impacting the entire array? Am I missing something?

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  • BizTalk 2009 - Naming Guidelines

    - by StuartBrierley
    The following is effectively a repost of the BizTalk 2004 naming guidlines that I have previously detailed.  I have posted these again for completeness under BizTalk 2009 and to allow an element of separation in case I find some reason to amend these for BizTalk 2009. These guidlines should be universal across any version of BizTalk you may wish to apply them to. General Rules All names should be named with a Pascal convention. Project Namespaces For message schemas: [CompanyName].XML.Schemas.[FunctionalName]* Examples:  ABC.XML.Schemas.Underwriting DEF.XML.Schemas.MarshmellowTradingExchange * Donates potential for multiple levels of functional name, such as Underwriting.Dictionary.Valuation For web services: [CompanyName].Web.Services.[FunctionalName] Examples: ABC.Web.Services.OrderJellyBeans For the main BizTalk Projects: [CompanyName].BizTalk.[AssemblyType].[FunctionalName]* Examples: ABC.BizTalk.Mappings.Underwriting ABC.BizTalk.Orchestrations.Underwriting * Donates potential for multiple levels of functional name, such as Mappings.Underwriting.Valuations Assemblies BizTalk Assembly names should match the associated Project Namespace, such as ABC.BizTalk.Mappings.Underwriting. This pertains to the formal assembly name and the DLL name. The Solution name should take the name of the main project within the solution, and also therefore the namespace for that project. Although long names such as this can be unwieldy to work with, the benefits of having the full scope available when the assemblies are installed on the target server are generally judged to outweigh this inconvenience. Messaging Artifacts Artifact Standard Notes Example Schema <DescriptiveName>.xsd   .NET Type name should match, without file extension.    .NET Namespace will likely match assembly name. PurchaseOrderAcknowledge_FF.xsd  or FNMA100330_FF.xsd Property Schema <DescriptiveName>.xsd Should be named to reflect possible common usage across multiple schemas  IspecMessagePropertySchema.xsd UnderwritingOrchestrationKeys.xsd Map <SourceSchema>2<DestinationSchema>.btm Exceptions to this may be made where the source and destination schemas share the majority of the name, such as in mainframe web service maps InstructionResponse2CustomEmailRequest.btm (exception example) AccountCustomerAddressSummaryRequest2MainframeRequest.btm Orchestration <DescriptiveName>.odx   GetValuationReports.odx SendMTEDecisionResponse.odx Send/Receive Pipeline <DescriptiveName>.btp   ValidatingXMLReceivePipeline.btp FlatFileAssembler.btp Receive Port A plainly worded phrase that will clearly explain the function.    FraudPreventionServices LetterProcessing   Receive Location A plainly worded phrase that will clearly explain the function.  ? Do we want to include the transport type here ? Arrears Web Service Send Port Group A plainly worded phrase that will clearly explain the function.   Customer Updates Send Port A plainly worded phrase that will clearly explain the function.    ABCProductUpdater LogLendingPolicyOutput Parties A meaningful name for a Trading Partner. If dealing with multiple entities within a Trading Partner organization, the Organization name could be used as a prefix.   Roles A meaningful name for the role that a Trading Partner plays.     Orchestration Workflow Shapes Shape Standard Notes Example Scopes <DescriptionOfContainedWork> or <DescOfcontainedWork><TxType>   Including info about transaction type may be appropriate in some situations where it adds significant documentation value to the diagram. HandleReportResponse         Receive Receive<MessageName> Typically, MessageName will be the same as the name of the message variable that is being received “into”. ReceiveReportResponse Send Send<MessageName> Typically, MessageName will be the same as the name of the message variable that is being sent. SendValuationDetailsRequest Expression <DescriptionOfEffect> Expression shapes should be named to describe the net effect of the expression, similar to naming a method.  The exception to this is the case where the expression is interacting with an external .NET component to perform a function that overlaps with existing BizTalk functionality – use closest BizTalk shape for this case. CreatePrintXML Decide <DescriptionOfDecision> A description of what will be decided in the “if” branch Report Type? Perform MF Save? If-Branch <DescriptionOfDecision> A (potentially abbreviated) description of what is being decided Mortgage Valuation Yes Else-Branch Else Else-branch shapes should always be named “Else” Else Construct Message (Assign) Create<Message> (for Construct)     <ExpressionDescription> (for expression) If a Construct shape contains a message assignment, it should be prefixed with “Create” followed by an abbreviated name of the message being assigned.    The actual message assignment shape contained should be named to describe the expression that is contained. CreateReportDataMV   which contains expression: ExtractReportData Construct Message (Transform) Create<Message> (for Construct)   <SourceSchema>2<DestSchema> (for transform) If a Construct shape contains a message transform, it should be prefixed with “Create” followed by an abbreviated name of the message being assigned.   The actual message transform shape contained should generally be named the same as the called map.  CreateReportDataMV   which contains transform: ReportDataMV2ReportDataMV                 Construct Message (containing multiple shapes)   If a Construct Message shape uses multiple assignments or transforms, the overall shape should be named to communicate the net effect, using no prefix.     Call/Start Orchestration Call<OrchestrationName>   Start<OrchestrationName>     Throw Throw<ExceptionType> The corresponding variable name for the exception type should (often) be the same name as the exception type, only camel-cased. ThrowRuleException, which references the “ruleException” variable.     Parallel <DescriptionOfParallelWork> Parallel shapes should be named by a description of what work will be done in parallel   Delay <DescriptionOfWhatWaitingFor> Delay shapes should be named by a description of what is being waited for.  POAcknowledgeTimeout Listen <DescriptionOfOutcomes> Listen shapes should be named by a description that captures (to the degree possible) all the branches of the Listen shape POAckOrTimeout FirstShippingBid Loop <DescriptionOfLoop> A (potentially abbreviated) description of what the loop is. ForEachValuationReport WhileErrorFlagTrue Role Link   See “Roles” in messaging naming conventions above.   Suspend <ReasonDescription> Describe what action an administrator must take to resume the orchestration.  More detail can be passed to error property – and should include what should be done by the administrator before resuming the orchestration. ReEstablishCreditLink Terminate <ReasonDescription> Describe why the orchestration terminated.  More detail can be passed to error property. TimeoutsExpired Call Rules Call<PolicyName> The policy name may need to be abbreviated. CallLendingPolicy Compensate Compensate or Compensate<TxName> If the shape compensates nested transactions, names should be suffixed with the name of the nested transaction – otherwise it should simple be Compensate. CompensateTransferFunds Orchestration Types Type Standard Notes Example Multi-Part Message Types <LogicalDocumentType>   Multi-part types encapsulate multiple parts.  The WSDL spec indicates “parts are a flexible mechanism for describing the logical abstract content of a message.”  The name of the multi-part type should correspond to the “logical” document type, i.e. what the sum of the parts describes. InvoiceReceipt   (which might encapsulate an invoice acknowledgement and a payment voucher.) Multi-Part Messsage Part <SchemaNameOfPart> Should be named (most often) simply for the schema (or simple type) associated with the part. InvoiceHeader Messages <SchemaName> or <MuliPartMessageTypeName> Should be named based on the corresponding schema type or multi-part message type.  If there is more than one variable of a type, name for its use within the orchestration. ReportDataMV UpdatedReportDataMV Variables <DescriptiveName>   TargetFilePath StringProcessor Port Types <FunctionDescription>PortType Should be named to suggest the nature of an endpoint, with pascal casing and suffixed with “PortType”.   If there will be more than one Port for a Port Type, the Port Type should be named according to the abstract service supplied.   The WSDL spec indicates port types are “a named set of abstract operations and the abstract messages involved” that also encapsulates the message pattern (i.e. one-way, request-response, solicit-response) that all operations on the port type adhere to. ReceiveReportResponsePortType  or CallEAEPortType (This is a two way port, so Receove or Send alone would not be appropriate.  Could have been ProcessEAERequestPortType etc....) Ports <FunctionDescription>Port Should be named to suggest a grouping of functionality, with pascal casing and suffixed with “Port.”  ReceiveReportResponsePort CallEAEPort Correlation types <DescriptiveName> Should be named based on the logical name of what is being used to correlate.  PurchaseOrderNumber Correlation sets <DescriptiveName> Should be named based on the corresponding correlation type.  If there is more than one, it should be named to reflect its specific purpose within the orchestration.   PurchaseOrderNumber Orchestration parameters <DescriptiveName> Should be named to match the caller’s names for the corresponding variables where appropriate.

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  • Set-Cookie Headers getting stripped in ASP.NET HttpHandlers

    - by Rick Strahl
    Yikes, I ran into a real bummer of an edge case yesterday in one of my older low level handler implementations (for West Wind Web Connection in this case). Basically this handler is a connector for a backend Web framework that creates self contained HTTP output. An ASP.NET Handler captures the full output, and then shoves the result down the ASP.NET Response object pipeline writing out the content into the Response.OutputStream and seperately sending the HttpHeaders in the Response.Headers collection. The headers turned out to be the problem and specifically Http Cookies, which for some reason ended up getting stripped out in some scenarios. My handler works like this: Basically the HTTP response from the backend app would return a full set of HTTP headers plus the content. The ASP.NET handler would read the headers one at a time and then dump them out via Response.AppendHeader(). But I found that in some situations Set-Cookie headers sent along were simply stripped inside of the Http Handler. After a bunch of back and forth with some folks from Microsoft (thanks Damien and Levi!) I managed to pin this down to a very narrow edge scenario. It's easiest to demonstrate the problem with a simple example HttpHandler implementation. The following simulates the very much simplified output generation process that fails in my handler. Specifically I have a couple of headers including a Set-Cookie header and some output that gets written into the Response object.using System.Web; namespace wwThreads { public class Handler : IHttpHandler { /* NOTE: * * Run as a web.config set handler (see entry below) * * Best way is to look at the HTTP Headers in Fiddler * or Chrome/FireBug/IE tools and look for the * WWHTREADSID cookie in the outgoing Response headers * ( If the cookie is not there you see the problem! ) */ public void ProcessRequest(HttpContext context) { HttpRequest request = context.Request; HttpResponse response = context.Response; // If ClearHeaders is used Set-Cookie header gets removed! // if commented header is sent... response.ClearHeaders(); response.ClearContent(); // Demonstrate that other headers make it response.AppendHeader("RequestId", "asdasdasd"); // This cookie gets removed when ClearHeaders above is called // When ClearHEaders is omitted above the cookie renders response.AppendHeader("Set-Cookie", "WWTHREADSID=ThisIsThEValue; path=/"); // *** This always works, even when explicit // Set-Cookie above fails and ClearHeaders is called //response.Cookies.Add(new HttpCookie("WWTHREADSID", "ThisIsTheValue")); response.Write(@"Output was created.<hr/> Check output with Fiddler or HTTP Proxy to see whether cookie was sent."); } public bool IsReusable { get { return false; } } } } In order to see the problem behavior this code has to be inside of an HttpHandler, and specifically in a handler defined in web.config with: <add name=".ck_handler" path="handler.ck" verb="*" type="wwThreads.Handler" preCondition="integratedMode" /> Note: Oddly enough this problem manifests only when configured through web.config, not in an ASHX handler, nor if you paste that same code into an ASPX page or MVC controller. What's the problem exactly? The code above simulates the more complex code in my live handler that picks up the HTTP response from the backend application and then peels out the headers and sends them one at a time via Response.AppendHeader. One of the headers in my app can be one or more Set-Cookie. I found that the Set-Cookie headers were not making it into the Response headers output. Here's the Chrome Http Inspector trace: Notice, no Set-Cookie header in the Response headers! Now, running the very same request after removing the call to Response.ClearHeaders() command, the cookie header shows up just fine: As you might expect it took a while to track this down. At first I thought my backend was not sending the headers but after closer checks I found that indeed the headers were set in the backend HTTP response, and they were indeed getting set via Response.AppendHeader() in the handler code. Yet, no cookie in the output. In the simulated example the problem is this line:response.AppendHeader("Set-Cookie", "WWTHREADSID=ThisIsThEValue; path=/"); which in my live code is more dynamic ( ie. AppendHeader(token[0],token[1[]) )as it parses through the headers. Bizzaro Land: Response.ClearHeaders() causes Cookie to get stripped Now, here is where it really gets bizarre: The problem occurs only if: Response.ClearHeaders() was called before headers are added It only occurs in Http Handlers declared in web.config Clearly this is an edge of an edge case but of course - knowing my relationship with Mr. Murphy - I ended up running smack into this problem. So in the code above if you remove the call to ClearHeaders(), the cookie gets set!  Add it back in and the cookie is not there. If I run the above code in an ASHX handler it works. If I paste the same code (with a Response.End()) into an ASPX page, or MVC controller it all works. Only in the HttpHandler configured through Web.config does it fail! Cue the Twilight Zone Music. Workarounds As is often the case the fix for this once you know the problem is not too difficult. The difficulty lies in tracking inconsistencies like this down. Luckily there are a few simple workarounds for the Cookie issue. Don't use AppendHeader for Cookies The easiest and obvious solution to this problem is simply not use Response.AppendHeader() to set Cookies. Duh! Under normal circumstances in application level code there's rarely a reason to write out a cookie like this:response.AppendHeader("Set-Cookie", "WWTHREADSID=ThisIsThEValue; path=/"); but rather create the cookie using the Response.Cookies collection:response.Cookies.Add(new HttpCookie("WWTHREADSID", "ThisIsTheValue")); Unfortunately, in my case where I dynamically read headers from the original output and then dynamically  write header key value pairs back  programmatically into the Response.Headers collection, I actually don't look at each header specifically so in my case the cookie is just another header. My first thought was to simply trap for the Set-Cookie header and then parse out the cookie and create a Cookie object instead. But given that cookies can have a lot of different options this is not exactly trivial, plus I don't really want to fuck around with cookie values which can be notoriously brittle. Don't use Response.ClearHeaders() The real mystery in all this is why calling Response.ClearHeaders() prevents a cookie value later written with Response.AppendHeader() to fail. I fired up Reflector and took a quick look at System.Web and HttpResponse.ClearHeaders. There's all sorts of resetting going on but nothing that seems to indicate that headers should be removed later on in the request. The code in ClearHeaders() does access the HttpWorkerRequest, which is the low level interface directly into IIS, and so I suspect it's actually IIS that's stripping the headers and not ASP.NET, but it's hard to know. Somebody from Microsoft and the IIS team would have to comment on that. In my application it's probably safe to simply skip ClearHeaders() in my handler. The ClearHeaders/ClearContent was mainly for safety but after reviewing my code there really should never be a reason that headers would be set prior to this method firing. However, if for whatever reason headers do need to be cleared, it's easy enough to manually clear the headers out:private void RemoveHeaders(HttpResponse response) { List<string> headers = new List<string>(); foreach (string header in response.Headers) { headers.Add(header); } foreach (string header in headers) { response.Headers.Remove(header); } response.Cookies.Clear(); } Now I can replace the call the Response.ClearHeaders() and I don't get the funky side-effects from Response.ClearHeaders(). Summary I realize this is a total edge case as this occurs only in HttpHandlers that are manually configured. It looks like you'll never run into this in any of the higher level ASP.NET frameworks or even in ASHX handlers - only web.config defined handlers - which is really, really odd. After all those frameworks use the same underlying ASP.NET architecture. Hopefully somebody from Microsoft has an idea what crazy dependency was triggered here to make this fail. IAC, there are workarounds to this should you run into it, although I bet when you do run into it, it'll likely take a bit of time to find the problem or even this post in a search because it's not easily to correlate the problem to the solution. It's quite possible that more than cookies are affected by this behavior. Searching for a solution I read a few other accounts where headers like Referer were mysteriously disappearing, and it's possible that something similar is happening in those cases. Again, extreme edge case, but I'm writing this up here as documentation for myself and possibly some others that might have run into this. © Rick Strahl, West Wind Technologies, 2005-2012Posted in ASP.NET   IIS7   Tweet !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

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  • Microsoft&rsquo;s new technical computing initiative

    - by Randy Walker
    I made a mental note from earlier in the year.  Microsoft literally buys computers by the truckload.  From what I understand, it’s a typical practice amongst large software vendors.  You plug a few wires in, you test it, and you instantly have mega tera tera flops (don’t hold me to that number).  Microsoft has been trying to plug away at their cloud services (named Azure).  Which, for the layman, means Microsoft runs your software on their computers, and as demand increases you can allocate more computing power on the fly. With this in mind, it doesn’t surprise me that I was recently sent an executive email concerning Microsoft’s new technical computing initiative.  I find it to be a great marketing idea with actual substance behind their real work.  From the programmer academic perspective, in college we dreamed about this type of processing power.  This has decades of computer science theory behind it. A copy of the email received.  (note that I almost deleted this email, thinking it was spam due to it’s length) We don't often think about how complex life really is. Take the relatively simple task of commuting to and from work: it is, in fact, a complicated interplay of variables such as weather, train delays, accidents, traffic patterns, road construction, etc. You can however, take steps to shorten your commute - using a good, predictive understanding of a few of these variables. In fact, you probably are already taking these inputs and instinctively building a predictive model that you act on daily to get to your destination more quickly. Now, when we apply the same method to very complex tasks, this modeling approach becomes much more challenging. Recent world events clearly demonstrated our inability to process vast amounts of information and variables that would have helped to more accurately predict the behavior of global financial markets or the occurrence and impact of a volcano eruption in Iceland. To make sense of issues like these, researchers, engineers and analysts create computer models of the almost infinite number of possible interactions in complex systems. But, they need increasingly more sophisticated computer models to better understand how the world behaves and to make fact-based predictions about the future. And, to do this, it requires a tremendous amount of computing power to process and examine the massive data deluge from cameras, digital sensors and precision instruments of all kinds. This is the key to creating more accurate and realistic models that expose the hidden meaning of data, which gives us the kind of insight we need to solve a myriad of challenges. We have made great strides in our ability to build these kinds of computer models, and yet they are still too difficult, expensive and time consuming to manage. Today, even the most complicated data-rich simulations cannot fully capture all of the intricacies and dependencies of the systems they are trying to model. That is why, across the scientific and engineering world, it is so hard to say with any certainty when or where the next volcano will erupt and what flight patterns it might affect, or to more accurately predict something like a global flu pandemic. So far, we just cannot collect, correlate and compute enough data to create an accurate forecast of the real world. But this is about to change. Innovations in technology are transforming our ability to measure, monitor and model how the world behaves. The implication for scientific research is profound, and it will transform the way we tackle global challenges like health care and climate change. It will also have a huge impact on engineering and business, delivering breakthroughs that could lead to the creation of new products, new businesses and even new industries. Because you are a subscriber to executive e-mails from Microsoft, I want you to be the first to know about a new effort focused specifically on empowering millions of the world's smartest problem solvers. Today, I am happy to introduce Microsoft's Technical Computing initiative. Our goal is to unleash the power of pervasive, accurate, real-time modeling to help people and organizations achieve their objectives and realize their potential. We are bringing together some of the brightest minds in the technical computing community across industry, academia and science at www.modelingtheworld.com to discuss trends, challenges and shared opportunities. New advances provide the foundation for tools and applications that will make technical computing more affordable and accessible where mathematical and computational principles are applied to solve practical problems. One day soon, complicated tasks like building a sophisticated computer model that would typically take a team of advanced software programmers months to build and days to run, will be accomplished in a single afternoon by a scientist, engineer or analyst working at the PC on their desktop. And as technology continues to advance, these models will become more complete and accurate in the way they represent the world. This will speed our ability to test new ideas, improve processes and advance our understanding of systems. Our technical computing initiative reflects the best of Microsoft's heritage. Ever since Bill Gates articulated the then far-fetched vision of "a computer on every desktop" in the early 1980's, Microsoft has been at the forefront of expanding the power and reach of computing to benefit the world. As someone who worked closely with Bill for many years at Microsoft, I am happy to share with you that the passion behind that vision is fully alive at Microsoft and is carried out in the creation of our new Technical Computing group. Enabling more people to make better predictions We have seen the impact of making greater computing power more available firsthand through our investments in high performance computing (HPC) over the past five years. Scientists, engineers and analysts in organizations of all sizes and sectors are finding that using distributed computational power creates societal impact, fuels scientific breakthroughs and delivers competitive advantages. For example, we have seen remarkable results from some of our current customers: Malaria strikes 300,000 to 500,000 people around the world each year. To help in the effort to eradicate malaria worldwide, scientists at Intellectual Ventures use software that simulates how the disease spreads and would respond to prevention and control methods, such as vaccines and the use of bed nets. Technical computing allows researchers to model more detailed parameters for more accurate results and receive those results in less than an hour, rather than waiting a full day. Aerospace engineering firm, a.i. solutions, Inc., needed a more powerful computing platform to keep up with the increasingly complex computational needs of its customers: NASA, the Department of Defense and other government agencies planning space flights. To meet that need, it adopted technical computing. Now, a.i. solutions can produce detailed predictions and analysis of the flight dynamics of a given spacecraft, from optimal launch times and orbit determination to attitude control and navigation, up to eight times faster. This enables them to avoid mistakes in any areas that can cause a space mission to fail and potentially result in the loss of life and millions of dollars. Western & Southern Financial Group faced the challenge of running ever larger and more complex actuarial models as its number of policyholders and products grew and regulatory requirements changed. The company chose an actuarial solution that runs on technical computing technology. The solution is easy for the company's IT staff to manage and adjust to meet business needs. The new solution helps the company reduce modeling time by up to 99 percent - letting the team fine-tune its models for more accurate product pricing and financial projections. Our Technical Computing direction Collaborating closely with partners across industry and academia, we must now extend the reach of technical computing even further to help predictive modelers and data explorers make faster, more accurate predictions. As we build the Technical Computing initiative, we will invest in three core areas: Technical computing to the cloud: Microsoft will play a leading role in bringing technical computing power to scientists, engineers and analysts through the cloud. Existing high- performance computing users will benefit from the ability to augment their on-premises systems with cloud resources that enable 'just-in-time' processing. This platform will help ensure processing resources are available whenever they are needed-reliably, consistently and quickly. Simplify parallel development: Today, computers are shipping with more processing power than ever, including multiple cores, but most modern software only uses a small amount of the available processing power. Parallel programs are extremely difficult to write, test and trouble shoot. However, a consistent model for parallel programming can help more developers unlock the tremendous power in today's modern computers and enable a new generation of technical computing. We are delivering new tools to automate and simplify writing software through parallel processing from the desktop... to the cluster... to the cloud. Develop powerful new technical computing tools and applications: We know scientists, engineers and analysts are pushing common tools (i.e., spreadsheets and databases) to the limits with complex, data-intensive models. They need easy access to more computing power and simplified tools to increase the speed of their work. We are building a platform to do this. Our development efforts will yield new, easy-to-use tools and applications that automate data acquisition, modeling, simulation, visualization, workflow and collaboration. This will allow them to spend more time on their work and less time wrestling with complicated technology. Thinking bigger There is so much left to be discovered and so many questions yet to be answered in the fascinating world around us. We believe the technical computing community will show us that we have not seen anything yet. Imagine just some of the breakthroughs this community could make possible: Better predictions to help improve the understanding of pandemics, contagion and global health trends. Climate change models that predict environmental, economic and human impact, accessible in real-time during key discussions and debates. More accurate prediction of natural disasters and their impact to develop more effective emergency response plans. With an ambitious charter in hand, this new team is ready to build on our progress to-date and execute Microsoft's technical computing vision over the months and years ahead. We will steadily invest in the right technologies, tools and talent, and work to bring together the technical computing community. I invite you to visit www.modelingtheworld.com today. We welcome your ideas and feedback. I look forward to making this journey with you and others who want to answer the world's biggest questions, discover solutions to problems that seem impossible and uncover a host of new opportunities to change the world we live in for the better. Bob

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  • New Big Data Appliance Security Features

    - by mgubar
    The Oracle Big Data Appliance (BDA) is an engineered system for big data processing.  It greatly simplifies the deployment of an optimized Hadoop Cluster – whether that cluster is used for batch or real-time processing.  The vast majority of BDA customers are integrating the appliance with their Oracle Databases and they have certain expectations – especially around security.  Oracle Database customers have benefited from a rich set of security features:  encryption, redaction, data masking, database firewall, label based access control – and much, much more.  They want similar capabilities with their Hadoop cluster.    Unfortunately, Hadoop wasn’t developed with security in mind.  By default, a Hadoop cluster is insecure – the antithesis of an Oracle Database.  Some critical security features have been implemented – but even those capabilities are arduous to setup and configure.  Oracle believes that a key element of an optimized appliance is that its data should be secure.  Therefore, by default the BDA delivers the “AAA of security”: authentication, authorization and auditing. Security Starts at Authentication A successful security strategy is predicated on strong authentication – for both users and software services.  Consider the default configuration for a newly installed Oracle Database; it’s been a long time since you had a legitimate chance at accessing the database using the credentials “system/manager” or “scott/tiger”.  The default Oracle Database policy is to lock accounts thereby restricting access; administrators must consciously grant access to users. Default Authentication in Hadoop By default, a Hadoop cluster fails the authentication test. For example, it is easy for a malicious user to masquerade as any other user on the system.  Consider the following scenario that illustrates how a user can access any data on a Hadoop cluster by masquerading as a more privileged user.  In our scenario, the Hadoop cluster contains sensitive salary information in the file /user/hrdata/salaries.txt.  When logged in as the hr user, you can see the following files.  Notice, we’re using the Hadoop command line utilities for accessing the data: $ hadoop fs -ls /user/hrdataFound 1 items-rw-r--r--   1 oracle supergroup         70 2013-10-31 10:38 /user/hrdata/salaries.txt$ hadoop fs -cat /user/hrdata/salaries.txtTom Brady,11000000Tom Hanks,5000000Bob Smith,250000Oprah,300000000 User DrEvil has access to the cluster – and can see that there is an interesting folder called “hrdata”.  $ hadoop fs -ls /user Found 1 items drwx------   - hr supergroup          0 2013-10-31 10:38 /user/hrdata However, DrEvil cannot view the contents of the folder due to lack of access privileges: $ hadoop fs -ls /user/hrdata ls: Permission denied: user=drevil, access=READ_EXECUTE, inode="/user/hrdata":oracle:supergroup:drwx------ Accessing this data will not be a problem for DrEvil. He knows that the hr user owns the data by looking at the folder’s ACLs. To overcome this challenge, he will simply masquerade as the hr user. On his local machine, he adds the hr user, assigns that user a password, and then accesses the data on the Hadoop cluster: $ sudo useradd hr $ sudo passwd $ su hr $ hadoop fs -cat /user/hrdata/salaries.txt Tom Brady,11000000 Tom Hanks,5000000 Bob Smith,250000 Oprah,300000000 Hadoop has not authenticated the user; it trusts that the identity that has been presented is indeed the hr user. Therefore, sensitive data has been easily compromised. Clearly, the default security policy is inappropriate and dangerous to many organizations storing critical data in HDFS. Big Data Appliance Provides Secure Authentication The BDA provides secure authentication to the Hadoop cluster by default – preventing the type of masquerading described above. It accomplishes this thru Kerberos integration. Figure 1: Kerberos Integration The Key Distribution Center (KDC) is a server that has two components: an authentication server and a ticket granting service. The authentication server validates the identity of the user and service. Once authenticated, a client must request a ticket from the ticket granting service – allowing it to access the BDA’s NameNode, JobTracker, etc. At installation, you simply point the BDA to an external KDC or automatically install a highly available KDC on the BDA itself. Kerberos will then provide strong authentication for not just the end user – but also for important Hadoop services running on the appliance. You can now guarantee that users are who they claim to be – and rogue services (like fake data nodes) are not added to the system. It is common for organizations to want to leverage existing LDAP servers for common user and group management. Kerberos integrates with LDAP servers – allowing the principals and encryption keys to be stored in the common repository. This simplifies the deployment and administration of the secure environment. Authorize Access to Sensitive Data Kerberos-based authentication ensures secure access to the system and the establishment of a trusted identity – a prerequisite for any authorization scheme. Once this identity is established, you need to authorize access to the data. HDFS will authorize access to files using ACLs with the authorization specification applied using classic Linux-style commands like chmod and chown (e.g. hadoop fs -chown oracle:oracle /user/hrdata changes the ownership of the /user/hrdata folder to oracle). Authorization is applied at the user or group level – utilizing group membership found in the Linux environment (i.e. /etc/group) or in the LDAP server. For SQL-based data stores – like Hive and Impala – finer grained access control is required. Access to databases, tables, columns, etc. must be controlled. And, you want to leverage roles to facilitate administration. Apache Sentry is a new project that delivers fine grained access control; both Cloudera and Oracle are the project’s founding members. Sentry satisfies the following three authorization requirements: Secure Authorization:  the ability to control access to data and/or privileges on data for authenticated users. Fine-Grained Authorization:  the ability to give users access to a subset of the data (e.g. column) in a database Role-Based Authorization:  the ability to create/apply template-based privileges based on functional roles. With Sentry, “all”, “select” or “insert” privileges are granted to an object. The descendants of that object automatically inherit that privilege. A collection of privileges across many objects may be aggregated into a role – and users/groups are then assigned that role. This leads to simplified administration of security across the system. Figure 2: Object Hierarchy – granting a privilege on the database object will be inherited by its tables and views. Sentry is currently used by both Hive and Impala – but it is a framework that other data sources can leverage when offering fine-grained authorization. For example, one can expect Sentry to deliver authorization capabilities to Cloudera Search in the near future. Audit Hadoop Cluster Activity Auditing is a critical component to a secure system and is oftentimes required for SOX, PCI and other regulations. The BDA integrates with Oracle Audit Vault and Database Firewall – tracking different types of activity taking place on the cluster: Figure 3: Monitored Hadoop services. At the lowest level, every operation that accesses data in HDFS is captured. The HDFS audit log identifies the user who accessed the file, the time that file was accessed, the type of access (read, write, delete, list, etc.) and whether or not that file access was successful. The other auditing features include: MapReduce:  correlate the MapReduce job that accessed the file Oozie:  describes who ran what as part of a workflow Hive:  captures changes were made to the Hive metadata The audit data is captured in the Audit Vault Server – which integrates audit activity from a variety of sources, adding databases (Oracle, DB2, SQL Server) and operating systems to activity from the BDA. Figure 4: Consolidated audit data across the enterprise.  Once the data is in the Audit Vault server, you can leverage a rich set of prebuilt and custom reports to monitor all the activity in the enterprise. In addition, alerts may be defined to trigger violations of audit policies. Conclusion Security cannot be considered an afterthought in big data deployments. Across most organizations, Hadoop is managing sensitive data that must be protected; it is not simply crunching publicly available information used for search applications. The BDA provides a strong security foundation – ensuring users are only allowed to view authorized data and that data access is audited in a consolidated framework.

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  • New release of Microsoft All-In-One Code Framework is available for download - March 2011

    - by Jialiang
    A new release of Microsoft All-In-One Code Framework is available on March 8th. Download address: http://1code.codeplex.com/releases/view/62267#DownloadId=215627 You can download individual code samples or browse code samples grouped by technology in the updated code sample index. If it’s the first time that you hear about Microsoft All-In-One Code Framework, please read this Microsoft News Center article http://www.microsoft.com/presspass/features/2011/jan11/01-13codeframework.mspx, or watch the introduction video on YouTube http://www.youtube.com/watch?v=cO5Li3APU58, or read the introduction on our homepage http://1code.codeplex.com/. -------------- New Silverlight code samples CSSLTreeViewCRUDDragDrop Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215808 The code sample was created by Amit Dey. It demonstrates a custom TreeView with added functionalities of CRUD (Create, Read, Update, Delete) and drag-and-drop operations. Silverlight TreeView control with CRUD and drag & drop is a frequently asked programming question in Silverlight  forums. Many customers also requested this code sample in our code sample request service. We hope that this sample can reduce developers' efforts in handling this typical programming scenario. The following blog article introduces the sample in detail: http://blogs.msdn.com/b/codefx/archive/2011/02/15/silverlight-treeview-control-with-crud-and-drag-amp-drop.aspx. CSSL4FileDragDrop and VBSL4FileDragDrop Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215809 http://1code.codeplex.com/releases/view/62253#DownloadId=215810 The code sample demonstrates the new drag&drop feature of Silverlight 4 to implement dragging picures from the local file system to a Silverlight application.   Sometimes we want to change SiteMapPath control's titles and paths according to Query String values. And sometimes we want to create the SiteMapPath dynamically. This code sample shows how to achieve these goals by handling SiteMap.SiteMapResolve event. CSASPNETEncryptAndDecryptConfiguration, VBASPNETEncryptAndDecryptConfiguration Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215027 http://1code.codeplex.com/releases/view/62253#DownloadId=215106 In this sample, we encrypt and decrypt some sensitive information in the config file of a web application by using the RSA asymmetric encryption. This project contains two snippets. The first one demonstrates how to use RSACryptoServiceProvider to generate public key and the corresponding private key and then encrypt/decrypt string value on page. The second part shows how to use RSA configuration provider to encrypt and decrypt configuration section in web.config of web application. connectionStrings section in plain text: Encrypted connectionString:  Note that if you store sensitive data in any of the following configuration sections, we cannot encrypt it by using a protected configuration provider <processModel> <runtime> <mscorlib> <startup> <system.runtime.remoting> <configProtectedData> <satelliteassemblies> <cryptographySettings> <cryptoNameMapping> CSASPNETFileUploadStatus Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215028 I believe ASP.NET programmers will like this sample, because in many cases we need customers know the current status of the uploading files, including the upload speed and completion percentage and so on. Under normal circumstances, we need to use COM components to accomplish this function, such as Flash, Silverlight, etc. The uploading data can be retrieved in two places, the client-side and the server-side. For the client, for the safety factors, the file upload status information cannot be got from JavaScript or server-side code, so we need COM component, like Flash and Silverlight to accomplish this, I do not like this approach because the customer need to install these components, but also we need to learn another programming framework. For the server side, we can get the information through coding, but the key question is how to tell the client results. In this case, We will combine custom HTTPModule and AJAX technology to illustrate how to analyze the HTTP protocol, how to break the file request packets, how to customize the location of the server-side file caching, how to return the file uploading status back to the client and so on . CSASPNETHighlightCodeInPage, VBASPNETHighlightCodeInPage Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215029 http://1code.codeplex.com/releases/view/62253#DownloadId=215108 This sample imitates a system that needs display the highlighted code in an ASP.NET page . As a matter of fact, sometimes we input code like C# or HTML in a web page and we need these codes to be highlighted for a better reading experience. It is convenient for us to keep the code in mind if it is highlighted. So in this case, the sample shows how to highlight the code in an ASP.NET page. It is not difficult to highlight the code in a web page by using String.Replace method directly. This  method can return a new string in which all occurrences of a specified string in the current instance are replaced with another specified string. However, it may not be a good idea, because it's not extremely fast, in fact, it's pretty slow. In addition, it is hard to highlight multiple keywords by using String.Replace method directly. Sometimes we need to copy source code from visual studio to a web page, for readability purpose, highlight the code is important while set the different types of keywords to different colors in a web page by using String.Replace method directly is not available. To handle this issue, we need to use a hashtable variable to store the different languages of code and their related regular expressions with matching options. Furthermore, define the css styles which used to highlight the code in a web page. The sample project can auto add the style object to the matching string of code. A step-by-step guide illustrating how to highlight the code in an ASP.NET page: 1. the HighlightCodePage.aspx page Choose a type of language in the dropdownlist control and paste the code in the textbox control, then click the HighLight button. 2.  Display the highlighted code in an ASP.NET page After user clicks the HighLight button, the highlighted code will be displayed at right side of the page.        CSASPNETPreventMultipleWindows Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215032 This sample demonstrates a step-by-step guide illustrating how to detect and prevent multiple windows or tab usage in Web Applications. The sample imitates a system that need to prevent multiple windows or tabs to solve some problems like sharing sessions, protect duplicated login, data concurrency, etc. In fact, there are many methods achieving this goal. Here we give a solution of use JavaScript, Sample shows how to use window.name property check the correct links and throw other requests to invalid pages. This code-sample use two user controls to make a distinction between base page and target page, user only need drag different controls to appropriate web form pages. so user need not write repetitive code in every page, it will make coding work lightly and convenient for modify your code.  JSVirtualKeyboard Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215093 This article describes an All-In-One framework sample that demonstrates a step-by-step guide illustrating how to build a virtual keyboard in your HTML page. Sometimes we may need to offer a virtual keyboard to let users input something without their real keyboards. This scenario often occurs when users will enter their password to get access to our sites and we want to protect the password from some kinds of back-door software, a Key-logger for example, and we will find a virtual keyboard on the page will be a good choice here. To create a virtual keyboard, we firstly need to add some buttons to the page. And when users click on a certain button, the JavaScript function handling the onclick event will input an appropriated character to the textbox. That is the simple logic of this feature. However, if we indeed want a virtual keyboard to substitute for the real keyboard completely, we will need more advanced logic to handle keys like Caps-Lock and Shift etc. That will be a complex work to achieve. CSASPNETDataListImageGallery Download: http://1code.codeplex.com/releases/view/62261#DownloadId=215267 This code sample demonstrates how to create an Image Gallery application by using the DataList control in ASP.NET. You may find the Image Gallery is widely used in many social networking sites, personal websites and E-Business websites. For example, you may use the Image Gallery to show a library of personal uploaded images on a personal website. Slideshow is also a popular tool to display images on websites. This code sample demonstrates how to use the DataList and ImageButton controls in ASP.NET to create an Image Gallery with image navigation. You can click on a thumbnail image in the Datalist control to display a larger version of the image on the page. This sample code reads the image paths from a certain directory into a FileInfo array. Then, the FileInfo array is used to populate a custom DataTable object which is bound to the Datalist control. This code sample also implements a custom paging system that allows five images to be displayed horizontally on one page. The following link buttons are used to implement a custom paging system:   •     First •     Previous •     Next •     Last Note We recommend that you use this method to load no more than five images at a time. You can also set the SelectedIndex property for the DataList control to limit the number of the thumbnail images that can be selected. To indicate which image is selected, you can set the SelectedStyle property for the DataList control. VBASPNETSearchEngine Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215112 This sample shows how to implement a simple search engine in an ASP.NET web site. It uses LIKE condition in SQL statement to search database. Then it highlights keywords in search result by using Regular Expression and JavaScript. New Windows General code samples CSCheckEXEType, VBCheckEXEType Downloads: http://1code.codeplex.com/releases/view/62253#DownloadId=215045 http://1code.codeplex.com/releases/view/62253#DownloadId=215120 The sample demonstrates how to check an executable file type.  For a given executable file, we can get 1 whether it is a console application 2 whether it is a .Net application 3 whether it is a 32bit native application. 4 The full display name of a .NET application, e.g. System, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089, processorArchitecture=MSIL New Internet Explorer code samples CSIEExplorerBar, VBIEExplorerBar Downloads: http://1code.codeplex.com/releases/view/62253#DownloadId=215060 http://1code.codeplex.com/releases/view/62253#DownloadId=215133 The sample demonstrates how to create and deploy an IE Explorer Bar which could list all the images in a web page. CSBrowserHelperObject, VBBrowserHelperObject Downloads: http://1code.codeplex.com/releases/view/62253#DownloadId=215044 http://1code.codeplex.com/releases/view/62253#DownloadId=215119 The sample demonstrates how to create and deploy a Browser Helper Object,  and the BHO in this sample is used to disable the context menu in IE. New Windows Workflow Foundation code samples CSWF4ActivitiesCorrelation Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215085 Consider that there are two such workflow instances:       start                                   start          |                                           | Receive activity      Receive activity         |                                           | Receive2 activity      Receive2 activity         |                                           | A WCF request comes to call the second Receive2 activity. Which one should take care of the request? The answer is Correlation. This sample will show you how to correlate two workflow service to work together. -------------- New ASP.NET code samples CSASPNETBreadcrumbWithQueryString Download: http://1code.codeplex.com/releases/view/62253#DownloadId=215022

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  • Timeout Considerations for Solicit Response

    - by Michael Stephenson
    Background One of the clients I work with had been experiencing some issues for a while surrounding web service timeouts.  It's been a little challenging to work through the problems due to limitations in the diagnostic information available from one of the applications, but I learned some interesting things while troubleshooting the problem which don't seem to have been discussed much in the community so I thought I'd share my findings. In the scenario we have BizTalk trying to make calls to a .net web service which was exposed as a WSE 2 endpoint.  In the process BizTalk will try to make a large number of concurrent web service calls to the application, and the backend application has more than enough infrastructure and capability to handle the load. We have configured the <ConnectionManagement> section of the BizTalk configuration file to support up to 100 concurrent connections from each of our 2 BizTalk send servers to the web servers of the application. The problem we were facing was that the BizTalk side was reporting a significant number of timeouts when calling the web service.   One of the biggest issues was the challenge of being able to correlate a message from BizTalk to the IIS log in the .net application and the custom logs in the application especially when there was a fairly large number of servers hosting the web services.  However the key moment came when we were able to identify a specific call which had taken 40 seconds to execute on the server (yes a long time I know but that's a different story!).  Anyway we were able to identify that this had timed out on the BizTalk side.  Based on the normal 2 minute timeout we knew something unexpected was going on. From here I decided to do some experimentation and I wanted to start outside of BizTalk because my hunch was this was not a BizTalk behaviour but something which was being highlighted by BizTalk because of our large load.     Server-side - Sample Web Service To begin with I created a sample web service.  Nothing special just a vanilla asmx web service hosted in IIS6 on Windows 2003 Standard Edition.  The web service is just a hello world style web service as shown in the below picture.  The only key feature is that the server side web method has a 30 second sleep in it and will trace out some information before and after the thread is set to sleep.      In the configuration for this web service there again is nothing special it's pretty much the most plain simple web service you could build. Client-Side To begin looking at what was happening with our example I created a number of different ways to consume the web service. SoapHttpClientProtocol Example I created a small application which would use a normal proxy generated to call the web service.  It would iterate around a loop and make calls using the begin/end methods so I can do this asynchronously.  I would do a loop of 20 calls with the ConnectionManager configuration section supporting only 5 concurrent connections to the server.     <connectionManagement> <remove address="*"/> <add address = "*" maxconnection = "12" /> <add address = "http://<ServerName>" maxconnection = "5" />                         </connectionManagement> </system.net>     The below picture shows an example of the service calling code, key points are: I have configured the timeout of 40 seconds for the proxy I am using the asynchronous methods on the proxy to call the web service         The Test I would run the client and execute 21 calls to the web service.   The Results  Below is the client side trace showing what's happening on the client. In the below diagram is the web service side trace showing what's happening on the server Some observations on the results are: All of the calls were successful from the clients perspective You could see the next call starting on the server as soon as the previous one had completed Calls took significantly longer than 40 seconds from the start of our call to the return. In fact call 20 took 2 minutes and 30 seconds from the perspective of my code to execute even though I had set the timeout to 40 seconds     WSE 2 Sample In the second example I used the exact same code to call the web service again with a single exception that I modified the web service proxy to derive from WebServiceClient protocol which is part of WSE 2 (using SP3).  The below picture shows the basic code and the key points are: I have configured the timeout of 40 seconds for the proxy I am using the asynchronous methods on the proxy to call the web service        The Test This test would execute 21 calls from the client to the web service.   The Results  The below trace is from the client side: The below trace is from the server side:   Some observations on the trace results for this scenario are: With call 4 if you look at the server side trace it did not start executing on the server for a number of seconds after the other 4 initial calls which were accepted by the server. I re-ran the test and this happened a couple of times and not on most others so at this point I'm just putting this down to something unexpected happening on the development machine and we will leave this observation out of scope of this article. You can see that the client side trace statement executed almost immediately in all cases All calls after the initial few calls would timeout On the client side the calls that did timeout; timed out in a longer duration than the 40 seconds we set as the timeout You can see that as calls were completing on the server the next calls were starting to come through The calls that timed out on the client did actually connect to the server and their server side execution completed successfully     Elaboration on the findings Based on the above observations I have drawn the below sequence diagram to illustrate conceptually what is happening.  Everything except the final web service object is on the client side of the call. In the diagram below I've put two notes on the Web Service Proxy to show the two different places where the different base classes seem to start their timeout counters. From the earlier samples we can work out that the timeout counter for the WSE web service proxy starts before the one for the SoapHttpClientProtocol proxy and the WSE one includes the time to get a connection from the pool; whereas the Soap proxy timeout just covers the method execution. One interesting observation is if we rerun the above sample and increase the number of calls from 21 to 100,000 then for the WSE sample we will see a similar pattern where everything after the first few calls will timeout on the client as soon as it makes a connection to the server whereas the soap proxy will happily plug away and process all of the calls without a single timeout. I have actually set the sample running overnight and this did happen. At this point you are probably thinking the same thoughts I was at the time about the differences in behaviour and which is right and why are they different? I'm not sure there is a definitive answer to this in the documentation, or at least not that I could find! I think you just have to consider that they are different and they could have different effects depending on your messaging solution. In lots of situations this is just not an issue as your concurrent requests doesn't get to the situation where you end up throttling the web service calls on the client side, however this is definitely more common with an integration broker such as BizTalk where you often have high throughput requirements.  Some of the considerations you should make Based on this behaviour you should be aware of the following: In a .net application if you are making lots of concurrent web service calls from an application in an asynchronous manner your user may thing they are experiencing poor performance but you think your web service is working well. The problem could be that the client will have a default of 2 connections to remote servers so you should bear this in mind When you are developing a BizTalk solution or a .net solution with the WSE 2 stack you may experience timeouts under load and throttling the number of connections using the max connections element in the configuration file will not help you For an application using WSE2 or SoapHttpClientProtocol an expired timeout will not throw an error until after a connection to the server has been made so you should consider this in your transaction and durability patterns     Our Work Around In the short term for our specific scenario we know that we can handle this by just increasing our timeout value.  There is only a specific small window when we get lots of concurrent traffic that causes this scenario so we should be able to increase the timeout to take into consideration the additional client side wait, and on the odd occasion where we do get a timeout the BizTalk send port retry will handle this. What was causing our original problem was that for that short window we were getting a lot of retries which significantly increased the load on our send servers and highlighted the issue.  Longer Term Solution As a longer term solution this really gives us more ammunition to argue a migration to WCF. The application we are calling has some factors which limit the protocols we can use but with WCF we would have more control on the various timeout options because in WCF you can configure specific parts of the timeout. Summary I've had this blog post on my to do list for ages but hopefully it will be useful to some people to just understand this behaviour and to possibly help you with some performance issues you may have. I do not believe there is too much in the way of documentation particularly around WSE2 and ASMX in this area so again another bit of ammunition for migrating to WCF. I'll try to do a follow up post with the sample for WCF to show how this changes things.

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  • When was sys.dm_os_wait_stats last cleared?

    - by SQLOS Team
    The sys.dm_os_wait_stats DMV provides essential metrics for diagnosing SQL Server performance problems. Returning incrementally accumulating information about all the completed waits encountered by executing threads it is a useful way to identify bottlenecks such as IO latency issues or waits on locks. The counters are reset each time SQL server is restarted, or when the following command is run: DBCC SQLPERF ('sys.dm_os_wait_stats', CLEAR); To make sense out of these wait values you need to know how they change over time. Suppose you are asked to troubleshoot a system and you don't know when the wait stats were last zeroed. Is there any way to find the elapsed time since this happened? If the wait stats were not cleared using the DBCC SQLPERF command then you can simply correlate the stats with the time SQL Server was started using the sqlserver_start_time column introduced in SQL Server 2008 R2: SELECT sqlserver_start_time from sys.dm_os_sys_info However how do you tell if someone has run DBCC SQLPERF ('sys.dm_os_wait_stats', CLEAR) since the server was started, and if they did, when? Without this information the initial, or historical, wait_stats have less value until you can measure deltas over time. There is a way to at least estimate when the stats were last cleared, by using the wait stats themselves and choosing a thread that spends most of its time sleeping. A good candidate is the SQL Trace incremental flush task, which mostly sleeps (in 4 second intervals) and in between it attempts to flush (if there are new events – which is rare when only default trace is running) – so it pretty much sleeps all the time. Hence the time it has spent waiting is very close to the elapsed time since the counter was reset. Credit goes to Ivan Penkov in the SQLOS dev team for suggesting this. Here's an example (excuse formatting): 144 seconds after the server was started: select top 10 wait_type, wait_time_ms from sys.dm_os_wait_stats order by wait_time_ms desc wait_type                                                               wait_time_ms--------------------------------------------------------------------------------------------------------------- XE_DISPATCHER_WAIT                                      242273LAZYWRITER_SLEEP                                          146010LOGMGR_QUEUE                                                145412DIRTY_PAGE_POLL                                             145411XE_TIMER_EVENT                                               145216REQUEST_FOR_DEADLOCK_SEARCH             145194SQLTRACE_INCREMENTAL_FLUSH_SLEEP    144325SLEEP_TASK                                                        73359BROKER_TO_FLUSH                                           73113PREEMPTIVE_OS_AUTHENTICATIONOPS       143 (10 rows affected) Reset: DBCC SQLPERF('sys.dm_os_wait_stats', CLEAR)" DBCC execution completed. If DBCC printed error messages, contact your system administrator. After 8 seconds: select top 10 wait_type, wait_time_ms from sys.dm_os_wait_stats order by wait_time_ms desc wait_type                                                                 wait_time_ms--------------------------------------------------------------------------------------------------------------------- REQUEST_FOR_DEADLOCK_SEARCH              10013LAZYWRITER_SLEEP                                           8124SQLTRACE_INCREMENTAL_FLUSH_SLEEP     8017LOGMGR_QUEUE                                                 7579DIRTY_PAGE_POLL                                              7532XE_TIMER_EVENT                                                5007BROKER_TO_FLUSH                                            4118SLEEP_TASK                                                         3089PREEMPTIVE_OS_AUTHENTICATIONOPS        28SOS_SCHEDULER_YIELD                                   27 (10 rows affected)   After 12 seconds: select top 10 wait_type, wait_time_ms from sys.dm_os_wait_stats order by wait_time_ms desc wait_type                                                                  wait_time_ms------------------------------------------------------------------------------------------------------ REQUEST_FOR_DEADLOCK_SEARCH               15020LAZYWRITER_SLEEP                                            14206LOGMGR_QUEUE                                                  14036DIRTY_PAGE_POLL                                               13973SQLTRACE_INCREMENTAL_FLUSH_SLEEP      12026XE_TIMER_EVENT                                                 10014SLEEP_TASK                                                          7207BROKER_TO_FLUSH                                             7207PREEMPTIVE_OS_AUTHENTICATIONOPS         57SOS_SCHEDULER_YIELD                                     28 (10 rows affected) It may not be accurate to the millisecond, but it can provide a useful data point, and give an indication whether the wait stats were manually cleared after startup, and if so approximately when. - Guy     Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • Windows Azure Service Bus Splitter and Aggregator

    - by Alan Smith
    This article will cover basic implementations of the Splitter and Aggregator patterns using the Windows Azure Service Bus. The content will be included in the next release of the “Windows Azure Service Bus Developer Guide”, along with some other patterns I am working on. I’ve taken the pattern descriptions from the book “Enterprise Integration Patterns” by Gregor Hohpe. I bought a copy of the book in 2004, and recently dusted it off when I started to look at implementing the patterns on the Windows Azure Service Bus. Gregor has also presented an session in 2011 “Enterprise Integration Patterns: Past, Present and Future” which is well worth a look. I’ll be covering more patterns in the coming weeks, I’m currently working on Wire-Tap and Scatter-Gather. There will no doubt be a section on implementing these patterns in my “SOA, Connectivity and Integration using the Windows Azure Service Bus” course. There are a number of scenarios where a message needs to be divided into a number of sub messages, and also where a number of sub messages need to be combined to form one message. The splitter and aggregator patterns provide a definition of how this can be achieved. This section will focus on the implementation of basic splitter and aggregator patens using the Windows Azure Service Bus direct programming model. In BizTalk Server receive pipelines are typically used to implement the splitter patterns, with sequential convoy orchestrations often used to aggregate messages. In the current release of the Service Bus, there is no functionality in the direct programming model that implements these patterns, so it is up to the developer to implement them in the applications that send and receive messages. Splitter A message splitter takes a message and spits the message into a number of sub messages. As there are different scenarios for how a message can be split into sub messages, message splitters are implemented using different algorithms. The Enterprise Integration Patterns book describes the splatter pattern as follows: How can we process a message if it contains multiple elements, each of which may have to be processed in a different way? Use a Splitter to break out the composite message into a series of individual messages, each containing data related to one item. The Enterprise Integration Patterns website provides a description of the Splitter pattern here. In some scenarios a batch message could be split into the sub messages that are contained in the batch. The splitting of a message could be based on the message type of sub-message, or the trading partner that the sub message is to be sent to. Aggregator An aggregator takes a stream or related messages and combines them together to form one message. The Enterprise Integration Patterns book describes the aggregator pattern as follows: How do we combine the results of individual, but related messages so that they can be processed as a whole? Use a stateful filter, an Aggregator, to collect and store individual messages until a complete set of related messages has been received. Then, the Aggregator publishes a single message distilled from the individual messages. The Enterprise Integration Patterns website provides a description of the Aggregator pattern here. A common example of the need for an aggregator is in scenarios where a stream of messages needs to be combined into a daily batch to be sent to a legacy line-of-business application. The BizTalk Server EDI functionality provides support for batching messages in this way using a sequential convoy orchestration. Scenario The scenario for this implementation of the splitter and aggregator patterns is the sending and receiving of large messages using a Service Bus queue. In the current release, the Windows Azure Service Bus currently supports a maximum message size of 256 KB, with a maximum header size of 64 KB. This leaves a safe maximum body size of 192 KB. The BrokeredMessage class will support messages larger than 256 KB; in fact the Size property is of type long, implying that very large messages may be supported at some point in the future. The 256 KB size restriction is set in the service bus components that are deployed in the Windows Azure data centers. One of the ways of working around this size restriction is to split large messages into a sequence of smaller sub messages in the sending application, send them via a queue, and then reassemble them in the receiving application. This scenario will be used to demonstrate the pattern implementations. Implementation The splitter and aggregator will be used to provide functionality to send and receive large messages over the Windows Azure Service Bus. In order to make the implementations generic and reusable they will be implemented as a class library. The splitter will be implemented in the LargeMessageSender class and the aggregator in the LargeMessageReceiver class. A class diagram showing the two classes is shown below. Implementing the Splitter The splitter will take a large brokered message, and split the messages into a sequence of smaller sub-messages that can be transmitted over the service bus messaging entities. The LargeMessageSender class provides a Send method that takes a large brokered message as a parameter. The implementation of the class is shown below; console output has been added to provide details of the splitting operation. public class LargeMessageSender {     private static int SubMessageBodySize = 192 * 1024;     private QueueClient m_QueueClient;       public LargeMessageSender(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public void Send(BrokeredMessage message)     {         // Calculate the number of sub messages required.         long messageBodySize = message.Size;         int nrSubMessages = (int)(messageBodySize / SubMessageBodySize);         if (messageBodySize % SubMessageBodySize != 0)         {             nrSubMessages++;         }           // Create a unique session Id.         string sessionId = Guid.NewGuid().ToString();         Console.WriteLine("Message session Id: " + sessionId);         Console.Write("Sending {0} sub-messages", nrSubMessages);           Stream bodyStream = message.GetBody<Stream>();         for (int streamOffest = 0; streamOffest < messageBodySize;             streamOffest += SubMessageBodySize)         {                                     // Get the stream chunk from the large message             long arraySize = (messageBodySize - streamOffest) > SubMessageBodySize                 ? SubMessageBodySize : messageBodySize - streamOffest;             byte[] subMessageBytes = new byte[arraySize];             int result = bodyStream.Read(subMessageBytes, 0, (int)arraySize);             MemoryStream subMessageStream = new MemoryStream(subMessageBytes);               // Create a new message             BrokeredMessage subMessage = new BrokeredMessage(subMessageStream, true);             subMessage.SessionId = sessionId;               // Send the message             m_QueueClient.Send(subMessage);             Console.Write(".");         }         Console.WriteLine("Done!");     }} The LargeMessageSender class is initialized with a QueueClient that is created by the sending application. When the large message is sent, the number of sub messages is calculated based on the size of the body of the large message. A unique session Id is created to allow the sub messages to be sent as a message session, this session Id will be used for correlation in the aggregator. A for loop in then used to create the sequence of sub messages by creating chunks of data from the stream of the large message. The sub messages are then sent to the queue using the QueueClient. As sessions are used to correlate the messages, the queue used for message exchange must be created with the RequiresSession property set to true. Implementing the Aggregator The aggregator will receive the sub messages in the message session that was created by the splitter, and combine them to form a single, large message. The aggregator is implemented in the LargeMessageReceiver class, with a Receive method that returns a BrokeredMessage. The implementation of the class is shown below; console output has been added to provide details of the splitting operation.   public class LargeMessageReceiver {     private QueueClient m_QueueClient;       public LargeMessageReceiver(QueueClient queueClient)     {         m_QueueClient = queueClient;     }       public BrokeredMessage Receive()     {         // Create a memory stream to store the large message body.         MemoryStream largeMessageStream = new MemoryStream();           // Accept a message session from the queue.         MessageSession session = m_QueueClient.AcceptMessageSession();         Console.WriteLine("Message session Id: " + session.SessionId);         Console.Write("Receiving sub messages");           while (true)         {             // Receive a sub message             BrokeredMessage subMessage = session.Receive(TimeSpan.FromSeconds(5));               if (subMessage != null)             {                 // Copy the sub message body to the large message stream.                 Stream subMessageStream = subMessage.GetBody<Stream>();                 subMessageStream.CopyTo(largeMessageStream);                   // Mark the message as complete.                 subMessage.Complete();                 Console.Write(".");             }             else             {                 // The last message in the sequence is our completeness criteria.                 Console.WriteLine("Done!");                 break;             }         }                     // Create an aggregated message from the large message stream.         BrokeredMessage largeMessage = new BrokeredMessage(largeMessageStream, true);         return largeMessage;     } }   The LargeMessageReceiver initialized using a QueueClient that is created by the receiving application. The receive method creates a memory stream that will be used to aggregate the large message body. The AcceptMessageSession method on the QueueClient is then called, which will wait for the first message in a message session to become available on the queue. As the AcceptMessageSession can throw a timeout exception if no message is available on the queue after 60 seconds, a real-world implementation should handle this accordingly. Once the message session as accepted, the sub messages in the session are received, and their message body streams copied to the memory stream. Once all the messages have been received, the memory stream is used to create a large message, that is then returned to the receiving application. Testing the Implementation The splitter and aggregator are tested by creating a message sender and message receiver application. The payload for the large message will be one of the webcast video files from http://www.cloudcasts.net/, the file size is 9,697 KB, well over the 256 KB threshold imposed by the Service Bus. As the splitter and aggregator are implemented in a separate class library, the code used in the sender and receiver console is fairly basic. The implementation of the main method of the sending application is shown below.   static void Main(string[] args) {     // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Open the input file.     FileStream fileStream = new FileStream(AccountDetails.TestFile, FileMode.Open);       // Create a BrokeredMessage for the file.     BrokeredMessage largeMessage = new BrokeredMessage(fileStream, true);       Console.WriteLine("Sending: " + AccountDetails.TestFile);     Console.WriteLine("Message body size: " + largeMessage.Size);     Console.WriteLine();         // Send the message with a LargeMessageSender     LargeMessageSender sender = new LargeMessageSender(queueClient);     sender.Send(largeMessage);       // Close the messaging facory.     factory.Close();  } The implementation of the main method of the receiving application is shown below. static void Main(string[] args) {       // Create a token provider with the relevant credentials.     TokenProvider credentials =         TokenProvider.CreateSharedSecretTokenProvider         (AccountDetails.Name, AccountDetails.Key);       // Create a URI for the serivce bus.     Uri serviceBusUri = ServiceBusEnvironment.CreateServiceUri         ("sb", AccountDetails.Namespace, string.Empty);       // Create the MessagingFactory     MessagingFactory factory = MessagingFactory.Create(serviceBusUri, credentials);       // Use the MessagingFactory to create a queue client     QueueClient queueClient = factory.CreateQueueClient(AccountDetails.QueueName);       // Create a LargeMessageReceiver and receive the message.     LargeMessageReceiver receiver = new LargeMessageReceiver(queueClient);     BrokeredMessage largeMessage = receiver.Receive();       Console.WriteLine("Received message");     Console.WriteLine("Message body size: " + largeMessage.Size);       string testFile = AccountDetails.TestFile.Replace(@"\In\", @"\Out\");     Console.WriteLine("Saving file: " + testFile);       // Save the message body as a file.     Stream largeMessageStream = largeMessage.GetBody<Stream>();     largeMessageStream.Seek(0, SeekOrigin.Begin);     FileStream fileOut = new FileStream(testFile, FileMode.Create);     largeMessageStream.CopyTo(fileOut);     fileOut.Close();       Console.WriteLine("Done!"); } In order to test the application, the sending application is executed, which will use the LargeMessageSender class to split the message and place it on the queue. The output of the sender console is shown below. The console shows that the body size of the large message was 9,929,365 bytes, and the message was sent as a sequence of 51 sub messages. When the receiving application is executed the results are shown below. The console application shows that the aggregator has received the 51 messages from the message sequence that was creating in the sending application. The messages have been aggregated to form a massage with a body of 9,929,365 bytes, which is the same as the original large message. The message body is then saved as a file. Improvements to the Implementation The splitter and aggregator patterns in this implementation were created in order to show the usage of the patterns in a demo, which they do quite well. When implementing these patterns in a real-world scenario there are a number of improvements that could be made to the design. Copying Message Header Properties When sending a large message using these classes, it would be great if the message header properties in the message that was received were copied from the message that was sent. The sending application may well add information to the message context that will be required in the receiving application. When the sub messages are created in the splitter, the header properties in the first message could be set to the values in the original large message. The aggregator could then used the values from this first sub message to set the properties in the message header of the large message during the aggregation process. Using Asynchronous Methods The current implementation uses the synchronous send and receive methods of the QueueClient class. It would be much more performant to use the asynchronous methods, however doing so may well affect the sequence in which the sub messages are enqueued, which would require the implementation of a resequencer in the aggregator to restore the correct message sequence. Handling Exceptions In order to keep the code readable no exception handling was added to the implementations. In a real-world scenario exceptions should be handled accordingly.

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  • MacBook Pro Late 2009 SATA Resets, Slowness (Is my motherboard dying on both machines?)

    - by A Student at a University
    My MacBook Pro runs slower the longer it's on. I am getting kernel warnings. Some, but not all, resets correlate with AC power connects and disconnects. I don't think the warnings do. (How do I tell?) What are these errors? What causes them? Can this damage the drive or corrupt data? What is it seeing that motivates these? 02:37:16[ 0.791992] ahci 0000:00:0b.0: PCI INT A -> Link[LSI0] -> GSI 20 (level, low) -> IRQ 20 02:37:16[ 0.792047] ahci 0000:00:0b.0: irq 43 for MSI/MSI-X 02:37:16[ 0.792053] ahci 0000:00:0b.0: controller can't do PMP, turning off CAP_PMP 02:37:16[ 0.792104] ahci 0000:00:0b.0: AHCI 0001.0200 32 slots 6 ports 1.5 Gbps 0x3 impl IDE mode 02:37:16[ 0.792107] ahci 0000:00:0b.0: flags: 64bit ncq sntf pm led pio slum part boh 02:37:16[ 0.792111] ahci 0000:00:0b.0: setting latency timer to 64 02:37:16[ 0.813473] scsi0 : ahci 02:37:16[ 0.823340] scsi1 : ahci 02:37:16[ 0.848164] ata1: SATA max UDMA/133 abar m8192@0xe7484000 port 0xe7484100 irq 43 02:37:16[ 0.848166] ata2: SATA max UDMA/133 abar m8192@0xe7484000 port 0xe7484180 irq 43 02:37:16[ 1.190132] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16[ 1.190153] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16[ 1.213568] ata1.00: ATA-8: OCZ-VERTEX2, 1.23, max UDMA/133 02:37:16[ 1.213572] ata1.00: 195371568 sectors, multi 1: LBA48 NCQ (depth 31/32) 02:37:16[ 1.227293] ata2.00: ATA-8: ST9500420ASG, 0002SDM1, max UDMA/133 02:37:16[ 1.227297] ata2.00: 976773168 sectors, multi 16: LBA48 NCQ (depth 31/32) 02:37:16[ 1.229570] ata2.00: configured for UDMA/133 02:37:16[ 1.240120] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:37:16[ 1.240123] ata2: irq_stat 0x00000040, connection status changed 02:37:16[ 1.240127] ata2: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:37:16[ 1.240133] ata2: hard resetting link 02:37:16[ 1.260738] ata1.00: configured for UDMA/133 02:37:16[ 1.280111] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:37:16[ 1.280114] ata1: irq_stat 0x00000040, connection status changed 02:37:16[ 1.280118] ata1: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:37:16[ 1.280122] ata1: hard resetting link 02:37:16[ 1.990101] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16[ 1.994215] ata2.00: configured for UDMA/133 02:37:16[ 1.994220] ata2: EH complete 02:37:16[ 2.030097] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16[ 2.090773] ata1.00: configured for UDMA/133 02:37:16[ 2.090778] ata1: EH complete 02:37:16[ 2.090931] scsi 0:0:0:0: Direct-Access ATA OCZ-VERTEX2 1.23 PQ: 0 ANSI: 5 02:37:16[ 2.091045] sd 0:0:0:0: Attached scsi generic sg0 type 0 02:37:16[ 2.091121] sd 0:0:0:0: [sda] 195371568 512-byte logical blocks: (100 GB/93.1 GiB) 02:37:16[ 2.091159] scsi 1:0:0:0: Direct-Access ATA ST9500420ASG 0002 PQ: 0 ANSI: 5 02:37:16[ 2.091163] sd 0:0:0:0: [sda] Write Protect is off 02:37:16[ 2.091165] sd 0:0:0:0: [sda] Mode Sense: 00 3a 00 00 02:37:16[ 2.091183] sd 0:0:0:0: [sda] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA 02:37:16[ 2.091252] sd 1:0:0:0: Attached scsi generic sg1 type 0 02:37:16[ 2.091446] sd 1:0:0:0: [sdb] 976773168 512-byte logical blocks: (500 GB/465 GiB) 02:37:16[ 2.091580] sd 1:0:0:0: [sdb] Write Protect is off 02:37:16[ 2.091582] sd 1:0:0:0: [sdb] Mode Sense: 00 3a 00 00 02:37:16[ 2.091637] sd 1:0:0:0: [sdb] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA 02:37:16[ 2.093140] sd 0:0:0:0: [sda] Attached SCSI disk 02:37:16[ 2.093773] sd 1:0:0:0: [sdb] Attached SCSI disk 02:37:16[ 2.693899] EXT4-fs (dm-0): mounted filesystem with ordered data mode. Opts: (null) 02:37:16[ 5.483492] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro 02:37:16[ 7.905040] EXT4-fs (dm-2): mounted filesystem with ordered data mode. Opts: (null) 02:37:25[ 19.553095] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:37:25[ 19.555266] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:37:25[ 19.641532] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:37:25[ 19.641532] ata1: irq_stat 0x00000040, connection status changed 02:37:25[ 19.641532] ata1: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:37:25[ 19.641533] ata1: hard resetting link 02:37:25[ 19.642076] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:37:25[ 19.642078] ata2: irq_stat 0x00000040, connection status changed 02:37:25[ 19.642081] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:37:25[ 19.642084] ata2: hard resetting link 02:37:26[ 20.392606] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:26[ 20.392610] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:26[ 20.396697] ata2.00: configured for UDMA/133 02:37:26[ 20.396703] ata2: EH complete 02:37:26[ 20.451491] ata1.00: configured for UDMA/133 02:37:26[ 20.451498] ata1: EH complete 02:37:30[ 24.563725] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:37:30[ 24.565939] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:37:30[ 24.627236] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5900000 action 0xe frozen t4 02:37:30[ 24.627240] ata1: irq_stat 0x00000040, connection status changed 02:37:30[ 24.627242] ata1: SError: { Dispar LinkSeq TrStaTrns DevExch } 02:37:30[ 24.627246] ata1: hard resetting link 02:37:30[ 24.632241] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:37:30[ 24.632244] ata2: irq_stat 0x00000040, connection status changed 02:37:30[ 24.632247] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:37:30[ 24.632250] ata2: hard resetting link 02:37:31[ 25.372582] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:31[ 25.382615] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:31[ 25.386782] ata2.00: configured for UDMA/133 02:37:31[ 25.386788] ata2: EH complete 02:37:31[ 25.431668] ata1.00: configured for UDMA/133 02:37:31[ 25.431674] ata1: EH complete 02:45:54[ 529.141844] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:45:55[ 529.544529] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:45:55[ 529.622561] ata1: limiting SATA link speed to 1.5 Gbps 02:45:55[ 529.622568] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:45:55[ 529.622572] ata1: irq_stat 0x00400040, connection status changed 02:45:55[ 529.622576] ata1: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:45:55[ 529.622583] ata1: hard resetting link 02:45:55[ 529.622609] ata2: limiting SATA link speed to 1.5 Gbps 02:45:55[ 529.622613] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen 02:45:55[ 529.622616] ata2: irq_stat 0x00000040, connection status changed 02:45:55[ 529.622620] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:45:55[ 529.622624] ata2: hard resetting link 02:45:56[ 530.380135] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:56[ 530.380157] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:56[ 530.384305] ata2.00: configured for UDMA/133 02:45:56[ 530.384314] ata2: EH complete 02:45:56[ 530.399225] ata1.00: configured for UDMA/133 02:45:56[ 530.399233] ata1: EH complete 02:45:58[ 532.395990] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:45:58[ 532.518270] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:45:58[ 532.590968] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5840000 action 0xe frozen t4 02:45:58[ 532.590973] ata1: irq_stat 0x00000040, connection status changed 02:45:58[ 532.590977] ata1: SError: { CommWake LinkSeq TrStaTrns DevExch } 02:45:58[ 532.590983] ata1: hard resetting link 02:45:58[ 532.591034] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:45:58[ 532.591037] ata2: irq_stat 0x00000040, connection status changed 02:45:58[ 532.591041] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:45:58[ 532.591045] ata2: hard resetting link 02:45:59[ 533.340147] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:59[ 533.340168] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:59[ 533.344416] ata2.00: configured for UDMA/133 02:45:59[ 533.344424] ata2: EH complete 02:45:59[ 533.360839] ata1.00: configured for UDMA/133 02:45:59[ 533.360847] ata1: EH complete 02:45:59[ 533.584449] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:45:59[ 533.586999] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:45:59[ 533.660117] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen 02:45:59[ 533.660122] ata2: irq_stat 0x00000040, connection status changed 02:45:59[ 533.660126] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:45:59[ 533.660132] ata2: hard resetting link 02:45:59[ 533.660141] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:45:59[ 533.660143] ata1: irq_stat 0x00000040, connection status changed 02:45:59[ 533.660147] ata1: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:45:59[ 533.660151] ata1: hard resetting link 02:46:00[ 534.412536] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:00[ 534.412562] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:00[ 534.416768] ata2.00: configured for UDMA/133 02:46:00[ 534.416777] ata2: EH complete 02:46:00[ 534.431396] ata1.00: configured for UDMA/133 02:46:00[ 534.431401] ata1: EH complete 02:46:03[ 537.384649] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:03[ 537.504214] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:03[ 537.585992] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5900000 action 0xe frozen t4 02:46:03[ 537.585996] ata1: irq_stat 0x00000040, connection status changed 02:46:03[ 537.585999] ata1: SError: { Dispar LinkSeq TrStaTrns DevExch } 02:46:03[ 537.586002] ata1: hard resetting link 02:46:03[ 537.586028] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:46:03[ 537.586030] ata2: irq_stat 0x00000040, connection status changed 02:46:03[ 537.586033] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:46:03[ 537.586036] ata2: hard resetting link 02:46:04[ 538.330147] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:04[ 538.330168] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:04[ 538.334389] ata2.00: configured for UDMA/133 02:46:04[ 538.334398] ata2: EH complete 02:46:04[ 538.343511] ata1.00: configured for UDMA/133 02:46:04[ 538.343519] ata1: EH complete 02:46:04[ 538.456413] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:46:04[ 538.459404] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:46:04[ 538.540138] ata1.00: limiting speed to UDMA/100:PIO4 02:46:04[ 538.540144] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:46:04[ 538.540148] ata1: irq_stat 0x00000040, connection status changed 02:46:04[ 538.540153] ata1: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:46:04[ 538.540159] ata1: hard resetting link 02:46:04[ 538.540202] ata2.00: limiting speed to UDMA/100:PIO4 02:46:04[ 538.540207] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen 02:46:04[ 538.540211] ata2: irq_stat 0x00000040, connection status changed 02:46:04[ 538.540215] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:46:04[ 538.540220] ata2: hard resetting link 02:46:05[ 539.290054] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:05[ 539.290041] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:05[ 539.294100] ata2.00: configured for UDMA/100 02:46:05[ 539.294106] ata2: EH complete 02:46:05[ 539.314125] ata1.00: configured for UDMA/100 02:46:05[ 539.314132] ------------[ cut here ]------------ 02:46:05[ 539.314140] WARNING: at /build/buildd/linux-2.6.35/drivers/ata/libata-eh.c:3638 ata_eh_finish+0xdf/0xf0() 02:46:05[ 539.314144] Hardware name: MacBookPro5,3 02:46:05[ 539.314146] Modules linked in: michael_mic arc4 xt_multiport binfmt_misc rfcomm sco bnep l2cap parport_pc ppdev nvidia(P) ipt_REJECT xt_recent snd_hda_codec_cirrus xt_limit xt_tcpudp ipt_addrtype xt_state snd_hda_intel snd_hda_codec snd_hwdep snd_pcm snd_seq_midi applesmc led_class ip6table_filter lib80211_crypt_tkip snd_rawmidi snd_seq_midi_event ip6_tables input_polldev hid_apple snd_seq wl(P) snd_timer snd_seq_device snd joydev bcm5974 usbhid mbp_nvidia_bl uvcvideo btusb videodev v4l1_compat v4l2_compat_ioctl32 nf_nat_irc hid nf_conntrack_irc soundcore snd_page_alloc i2c_nforce2 coretemp lib80211 bluetooth nf_nat_ftp nf_nat nf_conntrack_ipv4 nf_defrag_ipv4 nf_conntrack_ftp nf_conntrack lp parport iptable_filter ip_tables x_tables usb_storage firewire_ohci firewire_core forcedeth crc_itu_t ahci libahci 02:46:05[ 539.314221] Pid: 202, comm: scsi_eh_0 Tainted: P 2.6.35-25-generic #44-Ubuntu 02:46:05[ 539.314224] Call Trace: 02:46:05[ 539.314233] [<ffffffff8106091f>] warn_slowpath_common+0x7f/0xc0 02:46:05[ 539.314237] [<ffffffff8106097a>] warn_slowpath_null+0x1a/0x20 02:46:05[ 539.314242] [<ffffffff813dc77f>] ata_eh_finish+0xdf/0xf0 02:46:05[ 539.314246] [<ffffffff813e441e>] sata_pmp_error_handler+0x2e/0x40 02:46:05[ 539.314256] [<ffffffffa00021bf>] ahci_error_handler+0x1f/0x90 [libahci] 02:46:05[ 539.314261] [<ffffffff813dd6d2>] ata_scsi_error+0x492/0x5e0 02:46:05[ 539.314266] [<ffffffff813b24cd>] scsi_error_handler+0x10d/0x190 02:46:05[ 539.314270] [<ffffffff813b23c0>] ? scsi_error_handler+0x0/0x190 02:46:05[ 539.314275] [<ffffffff8107f266>] kthread+0x96/0xa0 02:46:05[ 539.314280] [<ffffffff8100aee4>] kernel_thread_helper+0x4/0x10 02:46:05[ 539.314284] [<ffffffff8107f1d0>] ? kthread+0x0/0xa0 02:46:05[ 539.314288] [<ffffffff8100aee0>] ? kernel_thread_helper+0x0/0x10 02:46:05[ 539.314291] ---[ end trace 76dbffc2d5d49d9b ]--- 02:46:05[ 539.314296] ata1: EH complete 02:46:12[ 547.040091] ata1.00: exception Emask 0x0 SAct 0x0 SErr 0x0 action 0x6 frozen 02:46:12[ 547.040098] ata1.00: failed command: IDENTIFY DEVICE 02:46:12[ 547.040106] ata1.00: cmd ec/00:00:00:00:00/00:00:00:00:00/40 tag 0 pio 512 in 02:46:12[ 547.040108] res 40/00:01:00:00:00/00:00:00:00:00/e0 Emask 0x4 (timeout) 02:46:12[ 547.040111] ata1.00: status: { DRDY } 02:46:12[ 547.040117] ata1: hard resetting link 02:46:13[ 547.390144] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:13[ 547.408430] ata1.00: configured for UDMA/100 02:46:13[ 547.408438] ------------[ cut here ]------------ 02:46:13[ 547.408447] WARNING: at /build/buildd/linux-2.6.35/drivers/ata/libata-eh.c:3638 ata_eh_finish+0xdf/0xf0() 02:46:13[ 547.408451] Hardware name: MacBookPro5,3 02:46:13[ 547.408453] Modules linked in: michael_mic arc4 xt_multiport binfmt_misc rfcomm sco bnep l2cap parport_pc ppdev nvidia(P) ipt_REJECT xt_recent snd_hda_codec_cirrus xt_limit xt_tcpudp ipt_addrtype xt_state snd_hda_intel snd_hda_codec snd_hwdep snd_pcm snd_seq_midi applesmc led_class ip6table_filter lib80211_crypt_tkip snd_rawmidi snd_seq_midi_event ip6_tables input_polldev hid_apple snd_seq wl(P) snd_timer snd_seq_device snd joydev bcm5974 usbhid mbp_nvidia_bl uvcvideo btusb videodev v4l1_compat v4l2_compat_ioctl32 nf_nat_irc hid nf_conntrack_irc soundcore snd_page_alloc i2c_nforce2 coretemp lib80211 bluetooth nf_nat_ftp nf_nat nf_conntrack_ipv4 nf_defrag_ipv4 nf_conntrack_ftp nf_conntrack lp parport iptable_filter ip_tables x_tables usb_storage firewire_ohci firewire_core forcedeth crc_itu_t ahci libahci 02:46:13[ 547.408528] Pid: 202, comm: scsi_eh_0 Tainted: P W 2.6.35-25-generic #44-Ubuntu 02:46:13[ 547.408531] Call Trace: 02:46:13[ 547.408540] [<ffffffff8106091f>] warn_slowpath_common+0x7f/0xc0 02:46:13[ 547.408544] [<ffffffff8106097a>] warn_slowpath_null+0x1a/0x20 02:46:13[ 547.408549] [<ffffffff813dc77f>] ata_eh_finish+0xdf/0xf0 02:46:13[ 547.408553] [<ffffffff813e441e>] sata_pmp_error_handler+0x2e/0x40 02:46:13[ 547.408563] [<ffffffffa00021bf>] ahci_error_handler+0x1f/0x90 [libahci] 02:46:13[ 547.408567] [<ffffffff813dd6d2>] ata_scsi_error+0x492/0x5e0 02:46:13[ 547.408572] [<ffffffff813b24cd>] scsi_error_handler+0x10d/0x190 02:46:13[ 547.408577] [<ffffffff813b23c0>] ? scsi_error_handler+0x0/0x190 02:46:13[ 547.408582] [<ffffffff8107f266>] kthread+0x96/0xa0 02:46:13[ 547.408587] [<ffffffff8100aee4>] kernel_thread_helper+0x4/0x10 02:46:13[ 547.408591] [<ffffffff8107f1d0>] ? kthread+0x0/0xa0 02:46:13[ 547.408595] [<ffffffff8100aee0>] ? kernel_thread_helper+0x0/0x10 02:46:13[ 547.408598] ---[ end trace 76dbffc2d5d49d9c ]--- 02:46:13[ 547.408620] ata1: EH complete 02:46:13[ 547.562470] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:13[ 547.671380] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:13[ 547.738198] ata1.00: limiting speed to UDMA/33:PIO4 02:46:13[ 547.738204] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5800000 action 0xe frozen t4 02:46:13[ 547.738208] ata1: irq_stat 0x00000040, connection status changed 02:46:13[ 547.738212] ata1: SError: { LinkSeq TrStaTrns DevExch } 02:46:13[ 547.738218] ata1: hard resetting link 02:46:13[ 547.738262] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5900000 action 0xe frozen t4 02:46:13[ 547.738265] ata2: irq_stat 0x00000040, connection status changed 02:46:13[ 547.738269] ata2: SError: { Dispar LinkSeq TrStaTrns DevExch } 02:46:13[ 547.738274] ata2: hard resetting link 02:46:14[ 548.482561] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:14[ 548.484083] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:14[ 548.486809] ata2.00: configured for UDMA/100 02:46:14[ 548.486818] ata2: EH complete 02:46:14[ 548.498998] ata1.00: configured for UDMA/33 02:46:14[ 548.499004] ata1: EH complete 02:46:18[ 552.410499] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:18[ 552.522521] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:18[ 552.529674] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5800000 action 0xe frozen t4 02:46:18[ 552.529678] ata1: irq_stat 0x00000040, connection status changed 02:46:18[ 552.529680] ata1: SError: { LinkSeq TrStaTrns DevExch } 02:46:18[ 552.529684] ata1: hard resetting link 02:46:18[ 552.529716] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5800000 action 0xe frozen t4 02:46:18[ 552.529718] ata2: irq_stat 0x00000040, connection status changed 02:46:18[ 552.529720] ata2: SError: { LinkSeq TrStaTrns DevExch } 02:46:18[ 552.529723] ata2: hard resetting link 02:46:19[ 553.280059] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:19[ 553.280068] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:19[ 553.284141] ata2.00: configured for UDMA/100 02:46:19[ 553.284150] ata2: EH complete 02:46:19[ 553.301629] ata1.00: configured for UDMA/33 02:46:19[ 553.301637] ata1: EH complete

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  • MacBook Pro Late 2009 SATA Resets, Slowness (Is my motherboard dying on both machines?)

    - by A Student at a University
    My MacBook Pro runs slower the longer it's on. I am getting kernel warnings. Some, but not all, resets correlate with AC power connects and disconnects. I don't think the warnings do. (How do I tell?) What are these errors? What causes them? Can this damage the drive or corrupt data? What is it seeing that motivates these? 02:37:16[ 0.791992] ahci 0000:00:0b.0: PCI INT A -> Link[LSI0] -> GSI 20 (level, low) -> IRQ 20 02:37:16[ 0.792047] ahci 0000:00:0b.0: irq 43 for MSI/MSI-X 02:37:16[ 0.792053] ahci 0000:00:0b.0: controller can't do PMP, turning off CAP_PMP 02:37:16[ 0.792104] ahci 0000:00:0b.0: AHCI 0001.0200 32 slots 6 ports 1.5 Gbps 0x3 impl IDE mode 02:37:16[ 0.792107] ahci 0000:00:0b.0: flags: 64bit ncq sntf pm led pio slum part boh 02:37:16[ 0.792111] ahci 0000:00:0b.0: setting latency timer to 64 02:37:16[ 0.813473] scsi0 : ahci 02:37:16[ 0.823340] scsi1 : ahci 02:37:16[ 0.848164] ata1: SATA max UDMA/133 abar m8192@0xe7484000 port 0xe7484100 irq 43 02:37:16[ 0.848166] ata2: SATA max UDMA/133 abar m8192@0xe7484000 port 0xe7484180 irq 43 02:37:16[ 1.190132] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16[ 1.190153] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16[ 1.213568] ata1.00: ATA-8: OCZ-VERTEX2, 1.23, max UDMA/133 02:37:16[ 1.213572] ata1.00: 195371568 sectors, multi 1: LBA48 NCQ (depth 31/32) 02:37:16[ 1.227293] ata2.00: ATA-8: ST9500420ASG, 0002SDM1, max UDMA/133 02:37:16[ 1.227297] ata2.00: 976773168 sectors, multi 16: LBA48 NCQ (depth 31/32) 02:37:16[ 1.229570] ata2.00: configured for UDMA/133 02:37:16[ 1.240120] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:37:16[ 1.240123] ata2: irq_stat 0x00000040, connection status changed 02:37:16[ 1.240127] ata2: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:37:16[ 1.240133] ata2: hard resetting link 02:37:16[ 1.260738] ata1.00: configured for UDMA/133 02:37:16[ 1.280111] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:37:16[ 1.280114] ata1: irq_stat 0x00000040, connection status changed 02:37:16[ 1.280118] ata1: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:37:16[ 1.280122] ata1: hard resetting link 02:37:16[ 1.990101] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16[ 1.994215] ata2.00: configured for UDMA/133 02:37:16[ 1.994220] ata2: EH complete 02:37:16[ 2.030097] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16[ 2.090773] ata1.00: configured for UDMA/133 02:37:16[ 2.090778] ata1: EH complete 02:37:16[ 2.090931] scsi 0:0:0:0: Direct-Access ATA OCZ-VERTEX2 1.23 PQ: 0 ANSI: 5 02:37:16[ 2.091045] sd 0:0:0:0: Attached scsi generic sg0 type 0 02:37:16[ 2.091121] sd 0:0:0:0: [sda] 195371568 512-byte logical blocks: (100 GB/93.1 GiB) 02:37:16[ 2.091159] scsi 1:0:0:0: Direct-Access ATA ST9500420ASG 0002 PQ: 0 ANSI: 5 02:37:16[ 2.091163] sd 0:0:0:0: [sda] Write Protect is off 02:37:16[ 2.091165] sd 0:0:0:0: [sda] Mode Sense: 00 3a 00 00 02:37:16[ 2.091183] sd 0:0:0:0: [sda] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA 02:37:16[ 2.091252] sd 1:0:0:0: Attached scsi generic sg1 type 0 02:37:16[ 2.091446] sd 1:0:0:0: [sdb] 976773168 512-byte logical blocks: (500 GB/465 GiB) 02:37:16[ 2.091580] sd 1:0:0:0: [sdb] Write Protect is off 02:37:16[ 2.091582] sd 1:0:0:0: [sdb] Mode Sense: 00 3a 00 00 02:37:16[ 2.091637] sd 1:0:0:0: [sdb] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA 02:37:16[ 2.093140] sd 0:0:0:0: [sda] Attached SCSI disk 02:37:16[ 2.093773] sd 1:0:0:0: [sdb] Attached SCSI disk 02:37:16[ 2.693899] EXT4-fs (dm-0): mounted filesystem with ordered data mode. Opts: (null) 02:37:16[ 5.483492] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro 02:37:16[ 7.905040] EXT4-fs (dm-2): mounted filesystem with ordered data mode. Opts: (null) 02:37:25[ 19.553095] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:37:25[ 19.555266] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:37:25[ 19.641532] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:37:25[ 19.641532] ata1: irq_stat 0x00000040, connection status changed 02:37:25[ 19.641532] ata1: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:37:25[ 19.641533] ata1: hard resetting link 02:37:25[ 19.642076] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:37:25[ 19.642078] ata2: irq_stat 0x00000040, connection status changed 02:37:25[ 19.642081] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:37:25[ 19.642084] ata2: hard resetting link 02:37:26[ 20.392606] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:26[ 20.392610] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:26[ 20.396697] ata2.00: configured for UDMA/133 02:37:26[ 20.396703] ata2: EH complete 02:37:26[ 20.451491] ata1.00: configured for UDMA/133 02:37:26[ 20.451498] ata1: EH complete 02:37:30[ 24.563725] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:37:30[ 24.565939] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:37:30[ 24.627236] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5900000 action 0xe frozen t4 02:37:30[ 24.627240] ata1: irq_stat 0x00000040, connection status changed 02:37:30[ 24.627242] ata1: SError: { Dispar LinkSeq TrStaTrns DevExch } 02:37:30[ 24.627246] ata1: hard resetting link 02:37:30[ 24.632241] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:37:30[ 24.632244] ata2: irq_stat 0x00000040, connection status changed 02:37:30[ 24.632247] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:37:30[ 24.632250] ata2: hard resetting link 02:37:31[ 25.372582] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:31[ 25.382615] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:31[ 25.386782] ata2.00: configured for UDMA/133 02:37:31[ 25.386788] ata2: EH complete 02:37:31[ 25.431668] ata1.00: configured for UDMA/133 02:37:31[ 25.431674] ata1: EH complete 02:45:54[ 529.141844] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:45:55[ 529.544529] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:45:55[ 529.622561] ata1: limiting SATA link speed to 1.5 Gbps 02:45:55[ 529.622568] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:45:55[ 529.622572] ata1: irq_stat 0x00400040, connection status changed 02:45:55[ 529.622576] ata1: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:45:55[ 529.622583] ata1: hard resetting link 02:45:55[ 529.622609] ata2: limiting SATA link speed to 1.5 Gbps 02:45:55[ 529.622613] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen 02:45:55[ 529.622616] ata2: irq_stat 0x00000040, connection status changed 02:45:55[ 529.622620] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:45:55[ 529.622624] ata2: hard resetting link 02:45:56[ 530.380135] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:56[ 530.380157] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:56[ 530.384305] ata2.00: configured for UDMA/133 02:45:56[ 530.384314] ata2: EH complete 02:45:56[ 530.399225] ata1.00: configured for UDMA/133 02:45:56[ 530.399233] ata1: EH complete 02:45:58[ 532.395990] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:45:58[ 532.518270] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:45:58[ 532.590968] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5840000 action 0xe frozen t4 02:45:58[ 532.590973] ata1: irq_stat 0x00000040, connection status changed 02:45:58[ 532.590977] ata1: SError: { CommWake LinkSeq TrStaTrns DevExch } 02:45:58[ 532.590983] ata1: hard resetting link 02:45:58[ 532.591034] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:45:58[ 532.591037] ata2: irq_stat 0x00000040, connection status changed 02:45:58[ 532.591041] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:45:58[ 532.591045] ata2: hard resetting link 02:45:59[ 533.340147] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:59[ 533.340168] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:59[ 533.344416] ata2.00: configured for UDMA/133 02:45:59[ 533.344424] ata2: EH complete 02:45:59[ 533.360839] ata1.00: configured for UDMA/133 02:45:59[ 533.360847] ata1: EH complete 02:45:59[ 533.584449] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:45:59[ 533.586999] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:45:59[ 533.660117] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen 02:45:59[ 533.660122] ata2: irq_stat 0x00000040, connection status changed 02:45:59[ 533.660126] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:45:59[ 533.660132] ata2: hard resetting link 02:45:59[ 533.660141] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:45:59[ 533.660143] ata1: irq_stat 0x00000040, connection status changed 02:45:59[ 533.660147] ata1: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:45:59[ 533.660151] ata1: hard resetting link 02:46:00[ 534.412536] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:00[ 534.412562] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:00[ 534.416768] ata2.00: configured for UDMA/133 02:46:00[ 534.416777] ata2: EH complete 02:46:00[ 534.431396] ata1.00: configured for UDMA/133 02:46:00[ 534.431401] ata1: EH complete 02:46:03[ 537.384649] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:03[ 537.504214] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:03[ 537.585992] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5900000 action 0xe frozen t4 02:46:03[ 537.585996] ata1: irq_stat 0x00000040, connection status changed 02:46:03[ 537.585999] ata1: SError: { Dispar LinkSeq TrStaTrns DevExch } 02:46:03[ 537.586002] ata1: hard resetting link 02:46:03[ 537.586028] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen t4 02:46:03[ 537.586030] ata2: irq_stat 0x00000040, connection status changed 02:46:03[ 537.586033] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:46:03[ 537.586036] ata2: hard resetting link 02:46:04[ 538.330147] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:04[ 538.330168] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:04[ 538.334389] ata2.00: configured for UDMA/133 02:46:04[ 538.334398] ata2: EH complete 02:46:04[ 538.343511] ata1.00: configured for UDMA/133 02:46:04[ 538.343519] ata1: EH complete 02:46:04[ 538.456413] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:46:04[ 538.459404] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:46:04[ 538.540138] ata1.00: limiting speed to UDMA/100:PIO4 02:46:04[ 538.540144] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5850000 action 0xe frozen 02:46:04[ 538.540148] ata1: irq_stat 0x00000040, connection status changed 02:46:04[ 538.540153] ata1: SError: { PHYRdyChg CommWake LinkSeq TrStaTrns DevExch } 02:46:04[ 538.540159] ata1: hard resetting link 02:46:04[ 538.540202] ata2.00: limiting speed to UDMA/100:PIO4 02:46:04[ 538.540207] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5950000 action 0xe frozen 02:46:04[ 538.540211] ata2: irq_stat 0x00000040, connection status changed 02:46:04[ 538.540215] ata2: SError: { PHYRdyChg CommWake Dispar LinkSeq TrStaTrns DevExch } 02:46:04[ 538.540220] ata2: hard resetting link 02:46:05[ 539.290054] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:05[ 539.290041] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:05[ 539.294100] ata2.00: configured for UDMA/100 02:46:05[ 539.294106] ata2: EH complete 02:46:05[ 539.314125] ata1.00: configured for UDMA/100 02:46:05[ 539.314132] ------------[ cut here ]------------ 02:46:05[ 539.314140] WARNING: at /build/buildd/linux-2.6.35/drivers/ata/libata-eh.c:3638 ata_eh_finish+0xdf/0xf0() 02:46:05[ 539.314144] Hardware name: MacBookPro5,3 02:46:05[ 539.314146] Modules linked in: michael_mic arc4 xt_multiport binfmt_misc rfcomm sco bnep l2cap parport_pc ppdev nvidia(P) ipt_REJECT xt_recent snd_hda_codec_cirrus xt_limit xt_tcpudp ipt_addrtype xt_state snd_hda_intel snd_hda_codec snd_hwdep snd_pcm snd_seq_midi applesmc led_class ip6table_filter lib80211_crypt_tkip snd_rawmidi snd_seq_midi_event ip6_tables input_polldev hid_apple snd_seq wl(P) snd_timer snd_seq_device snd joydev bcm5974 usbhid mbp_nvidia_bl uvcvideo btusb videodev v4l1_compat v4l2_compat_ioctl32 nf_nat_irc hid nf_conntrack_irc soundcore snd_page_alloc i2c_nforce2 coretemp lib80211 bluetooth nf_nat_ftp nf_nat nf_conntrack_ipv4 nf_defrag_ipv4 nf_conntrack_ftp nf_conntrack lp parport iptable_filter ip_tables x_tables usb_storage firewire_ohci firewire_core forcedeth crc_itu_t ahci libahci 02:46:05[ 539.314221] Pid: 202, comm: scsi_eh_0 Tainted: P 2.6.35-25-generic #44-Ubuntu 02:46:05[ 539.314224] Call Trace: 02:46:05[ 539.314233] [<ffffffff8106091f>] warn_slowpath_common+0x7f/0xc0 02:46:05[ 539.314237] [<ffffffff8106097a>] warn_slowpath_null+0x1a/0x20 02:46:05[ 539.314242] [<ffffffff813dc77f>] ata_eh_finish+0xdf/0xf0 02:46:05[ 539.314246] [<ffffffff813e441e>] sata_pmp_error_handler+0x2e/0x40 02:46:05[ 539.314256] [<ffffffffa00021bf>] ahci_error_handler+0x1f/0x90 [libahci] 02:46:05[ 539.314261] [<ffffffff813dd6d2>] ata_scsi_error+0x492/0x5e0 02:46:05[ 539.314266] [<ffffffff813b24cd>] scsi_error_handler+0x10d/0x190 02:46:05[ 539.314270] [<ffffffff813b23c0>] ? scsi_error_handler+0x0/0x190 02:46:05[ 539.314275] [<ffffffff8107f266>] kthread+0x96/0xa0 02:46:05[ 539.314280] [<ffffffff8100aee4>] kernel_thread_helper+0x4/0x10 02:46:05[ 539.314284] [<ffffffff8107f1d0>] ? kthread+0x0/0xa0 02:46:05[ 539.314288] [<ffffffff8100aee0>] ? kernel_thread_helper+0x0/0x10 02:46:05[ 539.314291] ---[ end trace 76dbffc2d5d49d9b ]--- 02:46:05[ 539.314296] ata1: EH complete 02:46:12[ 547.040091] ata1.00: exception Emask 0x0 SAct 0x0 SErr 0x0 action 0x6 frozen 02:46:12[ 547.040098] ata1.00: failed command: IDENTIFY DEVICE 02:46:12[ 547.040106] ata1.00: cmd ec/00:00:00:00:00/00:00:00:00:00/40 tag 0 pio 512 in 02:46:12[ 547.040108] res 40/00:01:00:00:00/00:00:00:00:00/e0 Emask 0x4 (timeout) 02:46:12[ 547.040111] ata1.00: status: { DRDY } 02:46:12[ 547.040117] ata1: hard resetting link 02:46:13[ 547.390144] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:13[ 547.408430] ata1.00: configured for UDMA/100 02:46:13[ 547.408438] ------------[ cut here ]------------ 02:46:13[ 547.408447] WARNING: at /build/buildd/linux-2.6.35/drivers/ata/libata-eh.c:3638 ata_eh_finish+0xdf/0xf0() 02:46:13[ 547.408451] Hardware name: MacBookPro5,3 02:46:13[ 547.408453] Modules linked in: michael_mic arc4 xt_multiport binfmt_misc rfcomm sco bnep l2cap parport_pc ppdev nvidia(P) ipt_REJECT xt_recent snd_hda_codec_cirrus xt_limit xt_tcpudp ipt_addrtype xt_state snd_hda_intel snd_hda_codec snd_hwdep snd_pcm snd_seq_midi applesmc led_class ip6table_filter lib80211_crypt_tkip snd_rawmidi snd_seq_midi_event ip6_tables input_polldev hid_apple snd_seq wl(P) snd_timer snd_seq_device snd joydev bcm5974 usbhid mbp_nvidia_bl uvcvideo btusb videodev v4l1_compat v4l2_compat_ioctl32 nf_nat_irc hid nf_conntrack_irc soundcore snd_page_alloc i2c_nforce2 coretemp lib80211 bluetooth nf_nat_ftp nf_nat nf_conntrack_ipv4 nf_defrag_ipv4 nf_conntrack_ftp nf_conntrack lp parport iptable_filter ip_tables x_tables usb_storage firewire_ohci firewire_core forcedeth crc_itu_t ahci libahci 02:46:13[ 547.408528] Pid: 202, comm: scsi_eh_0 Tainted: P W 2.6.35-25-generic #44-Ubuntu 02:46:13[ 547.408531] Call Trace: 02:46:13[ 547.408540] [<ffffffff8106091f>] warn_slowpath_common+0x7f/0xc0 02:46:13[ 547.408544] [<ffffffff8106097a>] warn_slowpath_null+0x1a/0x20 02:46:13[ 547.408549] [<ffffffff813dc77f>] ata_eh_finish+0xdf/0xf0 02:46:13[ 547.408553] [<ffffffff813e441e>] sata_pmp_error_handler+0x2e/0x40 02:46:13[ 547.408563] [<ffffffffa00021bf>] ahci_error_handler+0x1f/0x90 [libahci] 02:46:13[ 547.408567] [<ffffffff813dd6d2>] ata_scsi_error+0x492/0x5e0 02:46:13[ 547.408572] [<ffffffff813b24cd>] scsi_error_handler+0x10d/0x190 02:46:13[ 547.408577] [<ffffffff813b23c0>] ? scsi_error_handler+0x0/0x190 02:46:13[ 547.408582] [<ffffffff8107f266>] kthread+0x96/0xa0 02:46:13[ 547.408587] [<ffffffff8100aee4>] kernel_thread_helper+0x4/0x10 02:46:13[ 547.408591] [<ffffffff8107f1d0>] ? kthread+0x0/0xa0 02:46:13[ 547.408595] [<ffffffff8100aee0>] ? kernel_thread_helper+0x0/0x10 02:46:13[ 547.408598] ---[ end trace 76dbffc2d5d49d9c ]--- 02:46:13[ 547.408620] ata1: EH complete 02:46:13[ 547.562470] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:13[ 547.671380] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:13[ 547.738198] ata1.00: limiting speed to UDMA/33:PIO4 02:46:13[ 547.738204] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5800000 action 0xe frozen t4 02:46:13[ 547.738208] ata1: irq_stat 0x00000040, connection status changed 02:46:13[ 547.738212] ata1: SError: { LinkSeq TrStaTrns DevExch } 02:46:13[ 547.738218] ata1: hard resetting link 02:46:13[ 547.738262] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5900000 action 0xe frozen t4 02:46:13[ 547.738265] ata2: irq_stat 0x00000040, connection status changed 02:46:13[ 547.738269] ata2: SError: { Dispar LinkSeq TrStaTrns DevExch } 02:46:13[ 547.738274] ata2: hard resetting link 02:46:14[ 548.482561] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:14[ 548.484083] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:14[ 548.486809] ata2.00: configured for UDMA/100 02:46:14[ 548.486818] ata2: EH complete 02:46:14[ 548.498998] ata1.00: configured for UDMA/33 02:46:14[ 548.499004] ata1: EH complete 02:46:18[ 552.410499] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:18[ 552.522521] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:18[ 552.529674] ata1: exception Emask 0x10 SAct 0x0 SErr 0x5800000 action 0xe frozen t4 02:46:18[ 552.529678] ata1: irq_stat 0x00000040, connection status changed 02:46:18[ 552.529680] ata1: SError: { LinkSeq TrStaTrns DevExch } 02:46:18[ 552.529684] ata1: hard resetting link 02:46:18[ 552.529716] ata2: exception Emask 0x10 SAct 0x0 SErr 0x5800000 action 0xe frozen t4 02:46:18[ 552.529718] ata2: irq_stat 0x00000040, connection status changed 02:46:18[ 552.529720] ata2: SError: { LinkSeq TrStaTrns DevExch } 02:46:18[ 552.529723] ata2: hard resetting link 02:46:19[ 553.280059] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:19[ 553.280068] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:19[ 553.284141] ata2.00: configured for UDMA/100 02:46:19[ 553.284150] ata2: EH complete 02:46:19[ 553.301629] ata1.00: configured for UDMA/33 02:46:19[ 553.301637] ata1: EH complete

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  • How do I get preferences to work in Android?

    - by Dan T
    I've really been struggling through this. New to Java/Android. I'm writing my first app and this is the first thing that has taken me longer than a couple days of searching to figure out. Here's the setup: It's a BAC calculator / drink counter: A formula is used to calculate the BAC. Here's the forumla: Bac = ((StandardDrinks / 2) * (GenderConstant / Weight)) - (0.017 * Hours); So as you can see, being able to modify the gender and weight will produce more accurate and personalized results. So I have them as doubles: double GenderConstant = 7.5; //9 for female double Weight = 180; To change these variables I would like the person to be able to go into the settings and choose different values. I have these things set up, but not linked to the variables shown above because I cannot for the life of me figure out how. Here they are: I press the menu button and this pops up. Great. I'll click Settings. Now the preferences pops up. Here is my preferences.xml: <?xml version="1.0" encoding="utf-8"?> <PreferenceScreen xmlns:android="http://schemas.android.com/apk/res/android"> <PreferenceCategory android:title="Personal Settings"> <ListPreference android:title="Gender" android:summary="Verify or deny the presence of a Y chromosome." android:key="genderPref" android:defaultValue="male" android:entries="@array/genderArray" android:entryValues="@array/genderValues" /> <ListPreference android:title="Weight" android:summary="How much the planet pulls on you, in pounds." android:key="weightPref" android:defaultValue="180" android:entries="@array/weightArray" android:entryValues="@array/weightValues" /> </PreferenceCategory> <PreferenceCategory android:title="Drink Settings"> <ListPreference android:title="Beer Size" android:summary="The volume of your beer, in ounces." android:key="beerPref" android:defaultValue="12" android:entries="@array/beerArray" android:entryValues="@array/beerValues" /> <ListPreference android:title="Shot Size" android:summary="The volume of your shot, in ounces." android:key="shotPref" android:defaultValue="1.5" android:entries="@array/shotArray" android:entryValues="@array/shotValues" /> <ListPreference android:title="Wine Size" android:summary="The volume of your wine, in ounces." android:key="winePref" android:defaultValue="5" android:entries="@array/wineArray" android:entryValues="@array/wineValues" /> </PreferenceCategory> </PreferenceScreen> Onward to the weight ListPreference: And that shows up. The values are stored as string-arrays in res/values/arrays.xml. Here's a sample, of just the weight ones: <string-array name="weightArray"> <item>120 lbs</item> <item>150 lbs</item> <item>180 lbs</item> <item>210 lbs</item> <item>240 lbs</item> <item>270 lbs</item> </string-array> <string-array name="weightValues"> <item>120</item> <item>150</item> <item>180</item> <item>210</item> <item>240</item> <item>270</item> </string-array> This is basically as far as I've gotten. I can click a value, sure, but it doesn't change the formula because it's not linked with the doubles I created in DrinkingBuddy.java. All of the stuff displayed in the settings are just empty shells for now, including the spinner on the main layout (the default time is just set to 1 hour) I did create a Preferences.java and have tried implementing various combinations of code found in tutorials and resources around the web, but to no avail. Here it is anyway, filled with failed attempts to make beerPref (the settings option to change how many ounces in the beer) correlate with a variable in my main class: package com.dantoth.drinkingbuddy; import android.app.Activity; import android.content.SharedPreferences; import android.os.Bundle; import android.preference.Preference; import android.preference.PreferenceActivity; import android.preference.Preference.OnPreferenceClickListener; public class Preferences extends PreferenceActivity { public static final String PREF_BEER_SIZE = "PREF_BEER_SIZE"; @Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); addPreferencesFromResource(R.xml.preferences); //Get the custom preference Preference beerPref = (Preference) findPreference("beerPref"); beerPref.setOnPreferenceClickListener(new OnPreferenceClickListener() { public boolean onPreferenceClick(Preference preference) { SharedPreferences customSharedPreference = getSharedPreferences("myCustomSharedPrefs", Activity.MODE_PRIVATE); SharedPreferences.Editor editor = customSharedPreference.edit(); editor.commit(); return true; }} );} } A full on tutorial and sample code would be AWESOME as I've yet to find any reliable guides out there.

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  • WPF ComboBox Binding to non string object

    - by Mike L
    I'm using MVVM (MVVM Light Toolkit) and have a property on the view model which exposes a list of objects. The objects contain two properties, both strings, which correlate to an abbreviation and a description. I want the ComboBox to expose the pairing as "abbreviation - description". If I use a data template, it does this easily. I have another property on the view model which represents the object that should display as selected -- the chosen item in the ComboBox. I'm binding the ItemsSource to the list, as it represents the universe of available selections, and am trying to bind the SelectedItem to this object. I'm killing myself trying to figure out why I can't get it to work, and feeling more like a fraud by the hour. In trying to learn why this works, I created the same approach with just a list of strings, and a selected string. This works perfectly. So, it clearly has something to do with the typing... perhaps something in choosing equality? Or perhaps it has to do with the data template? Here is the XAML: <Window x:Class="MvvmLight1.MainWindow" xmlns="http://schemas.microsoft.com/winfx/2006/xaml/presentation" xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml" Title="MainWindow" Height="300" Width="300" DataContext="{Binding Main, Source={StaticResource Locator}}"> <Window.Resources> <ResourceDictionary> <ResourceDictionary.MergedDictionaries> <ResourceDictionary Source="Skins/MainSkin.xaml" /> </ResourceDictionary.MergedDictionaries> <DataTemplate x:Key="DataTemplate1"> <StackPanel Orientation="Horizontal"> <TextBlock TextWrapping="Wrap" Text="{Binding CourtCode}"/> <TextBlock TextWrapping="Wrap" Text=" - "/> <TextBlock TextWrapping="Wrap" Text="{Binding CourtDescription}"/> </StackPanel> </DataTemplate> </ResourceDictionary> </Window.Resources> <Grid x:Name="LayoutRoot"> <ComboBox x:Name="cmbAbbrevDescriptions" Height="35" Margin="25,75,25,25" VerticalAlignment="Top" ItemsSource="{Binding Codes}" ItemTemplate="{DynamicResource DataTemplate1}" SelectedItem="{Binding selectedCode}" /> <ComboBox x:Name="cmbStrings" Height="35" Margin="25" VerticalAlignment="Top" ItemsSource="{Binding strs}" SelectedItem="{Binding selectedStr}"/> </Grid> </Window> And, if helpful, here is the ViewModel: using GalaSoft.MvvmLight; using MvvmLight1.Model; using System.Collections.Generic; namespace MvvmLight1.ViewModel { public class MainViewModel : ViewModelBase { public const string CodesPropertyName = "Codes"; private List<Court> _codes = null; public List<Court> Codes { get { return _codes; } set { if (_codes == value) { return; } var oldValue = _codes; _codes = value; // Update bindings and broadcast change using GalaSoft.Utility.Messenging RaisePropertyChanged(CodesPropertyName, oldValue, value, true); } } public const string selectedCodePropertyName = "selectedCode"; private Court _selectedCode = null; public Court selectedCode { get { return _selectedCode; } set { if (_selectedCode == value) { return; } var oldValue = _selectedCode; _selectedCode = value; // Update bindings and broadcast change using GalaSoft.Utility.Messenging RaisePropertyChanged(selectedCodePropertyName, oldValue, value, true); } } public const string strsPropertyName = "strs"; private List<string> _strs = null; public List<string> strs { get { return _strs; } set { if (_strs == value) { return; } var oldValue = _strs; _strs = value; // Update bindings and broadcast change using GalaSoft.Utility.Messenging RaisePropertyChanged(strsPropertyName, oldValue, value, true); } } public const string selectedStrPropertyName = "selectedStr"; private string _selectedStr = ""; public string selectedStr { get { return _selectedStr; } set { if (_selectedStr == value) { return; } var oldValue = _selectedStr; _selectedStr = value; // Update bindings and broadcast change using GalaSoft.Utility.Messenging RaisePropertyChanged(selectedStrPropertyName, oldValue, value, true); } } /// <summary> /// Initializes a new instance of the MainViewModel class. /// </summary> public MainViewModel() { Codes = new List<Court>(); Court code1 = new Court(); code1.CourtCode = "ABC"; code1.CourtDescription = "A Court"; Court code2 = new Court(); code2.CourtCode = "DEF"; code2.CourtDescription = "Second Court"; Codes.Add(code1); Codes.Add(code2); Court code3 = new Court(); code3.CourtCode = "DEF"; code3.CourtDescription = "Second Court"; selectedCode = code3; selectedStr = "Hello"; strs = new List<string>(); strs.Add("Goodbye"); strs.Add("Hello"); strs.Add("Ciao"); } } } And here is the ridiculously trivial class that is being exposed: using System; using System.Collections.Generic; using System.Linq; using System.Text; namespace MvvmLight1.Model { public class Court { public string CourtCode { get; set; } public string CourtDescription { get; set; } } } Thanks!

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  • MacBook Pro Late 2009 SATA Resets, Slowness

    - by A Student at a University
    My MacBook Pro runs slower the longer it's on. I am getting kernel warnings. The resets correlate with AC power connects and disconnects. I don't know if the warnings do. (How do I tell?) Are these bus CRC errors? Or something else? Can this damage the drive or corrupt data? What is it seeing that motivates these? 02:37:16 :[ 0.791992] ahci 0000:00:0b.0: PCI INT A -> Link[LSI0] -> GSI 20 (level, low) -> IRQ 20 02:37:16 :[ 0.792053] ahci 0000:00:0b.0: controller can't do PMP, turning off CAP_PMP 02:37:16 :[ 0.792104] ahci 0000:00:0b.0: AHCI 0001.0200 32 slots 6 ports 1.5 Gbps 0x3 impl IDE mode 02:37:16 :[ 0.792107] ahci 0000:00:0b.0: flags: 64bit ncq sntf pm led pio slum part boh 02:37:16 :[ 0.813473] scsi0 : ahci 02:37:16 :[ 0.823340] scsi1 : ahci 02:37:16 :[ 0.848164] ata1: SATA max UDMA/133 abar m8192@0xe7484000 port 0xe7484100 irq 43 02:37:16 :[ 0.848166] ata2: SATA max UDMA/133 abar m8192@0xe7484000 port 0xe7484180 irq 43 02:37:16 :[ 1.190132] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16 :[ 1.190153] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16 :[ 1.213568] ata1.00: ATA-8: OCZ-VERTEX2, 1.23, max UDMA/133 02:37:16 :[ 1.213572] ata1.00: 195371568 sectors, multi 1: LBA48 NCQ (depth 31/32) 02:37:16 :[ 1.227293] ata2.00: ATA-8: ST9500420ASG, 0002SDM1, max UDMA/133 02:37:16 :[ 1.227297] ata2.00: 976773168 sectors, multi 16: LBA48 NCQ (depth 31/32) 02:37:16 :[ 1.229570] ata2.00: configured for UDMA/133 02:37:16 :[ 1.240133] ata2: hard resetting link 02:37:16 :[ 1.260738] ata1.00: configured for UDMA/133 02:37:16 :[ 1.280122] ata1: hard resetting link 02:37:16 :[ 1.470125] usb 2-5: new high speed USB device using ehci_hcd and address 3 02:37:16 :[ 1.550165] firewire_core: created device fw0: GUID 58b035fffea99f5c, S800 02:37:16 :[ 1.631306] Initializing USB Mass Storage driver... 02:37:16 :[ 1.631392] scsi6 : usb-storage 2-5:1.0 02:37:16 :[ 1.631454] usbcore: registered new interface driver usb-storage 02:37:16 :[ 1.631455] USB Mass Storage support registered. 02:37:16 :[ 1.960128] usb 4-1: new full speed USB device using ohci_hcd and address 2 02:37:16 :[ 1.990101] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16 :[ 1.994215] ata2.00: configured for UDMA/133 02:37:16 :[ 1.994220] ata2: EH complete 02:37:16 :[ 2.030097] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:16 :[ 2.090773] ata1.00: configured for UDMA/133 02:37:16 :[ 2.090778] ata1: EH complete 02:37:16 :[ 2.090931] scsi 0:0:0:0: Direct-Access ATA OCZ-VERTEX2 1.23 PQ: 0 ANSI: 5 02:37:16 :[ 2.091045] sd 0:0:0:0: Attached scsi generic sg0 type 0 02:37:16 :[ 2.091121] sd 0:0:0:0: [sda] 195371568 512-byte logical blocks: (100 GB/93.1 GiB) 02:37:16 :[ 2.091159] scsi 1:0:0:0: Direct-Access ATA ST9500420ASG 0002 PQ: 0 ANSI: 5 02:37:16 :[ 2.091163] sd 0:0:0:0: [sda] Write Protect is off 02:37:16 :[ 2.091183] sd 0:0:0:0: [sda] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA 02:37:16 :[ 2.091252] sd 1:0:0:0: Attached scsi generic sg1 type 0 02:37:16 :[ 2.091337] sda: 02:37:16 :[ 2.091446] sd 1:0:0:0: [sdb] 976773168 512-byte logical blocks: (500 GB/465 GiB) 02:37:16 :[ 2.091580] sd 1:0:0:0: [sdb] Write Protect is off 02:37:16 :[ 2.091637] sd 1:0:0:0: [sdb] Write cache: enabled, read cache: enabled, doesn't support DPO or FUA 02:37:16 :[ 2.091756] sdb: sda1 sda2 02:37:16 :[ 2.093140] sd 0:0:0:0: [sda] Attached SCSI disk 02:37:16 :[ 2.093505] sdb1 sdb2 sdb3 02:37:16 :[ 2.093773] sd 1:0:0:0: [sdb] Attached SCSI disk 02:37:16 :[ 2.693899] EXT4-fs (dm-0): mounted filesystem with ordered data mode. Opts: (null) 02:37:16 :[ 5.483492] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro 02:37:16 :[ 7.905040] EXT4-fs (dm-2): mounted filesystem with ordered data mode. Opts: (null) 02:37:25 :[ 19.553095] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:37:25 :[ 19.555266] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:37:25 :[ 19.641533] ata1: hard resetting link 02:37:25 :[ 19.642084] ata2: hard resetting link 02:37:26 :[ 20.392606] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:26 :[ 20.392610] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:26 :[ 20.396697] ata2.00: configured for UDMA/133 02:37:26 :[ 20.396703] ata2: EH complete 02:37:26 :[ 20.451491] ata1.00: configured for UDMA/133 02:37:26 :[ 20.451498] ata1: EH complete 02:37:30 :[ 24.563725] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:37:30 :[ 24.565939] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:37:30 :[ 24.627246] ata1: hard resetting link 02:37:30 :[ 24.632250] ata2: hard resetting link 02:37:31 :[ 25.372582] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:31 :[ 25.382615] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 300) 02:37:31 :[ 25.386782] ata2.00: configured for UDMA/133 02:37:31 :[ 25.386788] ata2: EH complete 02:37:31 :[ 25.431668] ata1.00: configured for UDMA/133 02:37:31 :[ 25.431674] ata1: EH complete 02:45:54 :[ 529.141844] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:45:55 :[ 529.544529] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:45:55 :[ 529.622561] ata1: limiting SATA link speed to 1.5 Gbps 02:45:55 :[ 529.622583] ata1: hard resetting link 02:45:55 :[ 529.622609] ata2: limiting SATA link speed to 1.5 Gbps 02:45:55 :[ 529.622624] ata2: hard resetting link 02:45:56 :[ 530.380135] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:56 :[ 530.380157] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:56 :[ 530.384305] ata2.00: configured for UDMA/133 02:45:56 :[ 530.384314] ata2: EH complete 02:45:56 :[ 530.399225] ata1.00: configured for UDMA/133 02:45:56 :[ 530.399233] ata1: EH complete 02:45:58 :[ 532.395990] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:45:58 :[ 532.518270] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:45:58 :[ 532.590983] ata1: hard resetting link 02:45:58 :[ 532.591045] ata2: hard resetting link 02:45:59 :[ 533.340147] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:59 :[ 533.340168] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:45:59 :[ 533.344416] ata2.00: configured for UDMA/133 02:45:59 :[ 533.344424] ata2: EH complete 02:45:59 :[ 533.360839] ata1.00: configured for UDMA/133 02:45:59 :[ 533.360847] ata1: EH complete 02:45:59 :[ 533.584449] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:45:59 :[ 533.586999] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:45:59 :[ 533.660132] ata2: hard resetting link 02:45:59 :[ 533.660151] ata1: hard resetting link 02:46:00 :[ 534.412536] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:00 :[ 534.412562] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:00 :[ 534.416768] ata2.00: configured for UDMA/133 02:46:00 :[ 534.416777] ata2: EH complete 02:46:00 :[ 534.431396] ata1.00: configured for UDMA/133 02:46:00 :[ 534.431401] ata1: EH complete 02:46:03 :[ 537.384649] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:03 :[ 537.504214] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:03 :[ 537.586002] ata1: hard resetting link 02:46:03 :[ 537.586036] ata2: hard resetting link 02:46:04 :[ 538.330147] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:04 :[ 538.330168] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:04 :[ 538.334389] ata2.00: configured for UDMA/133 02:46:04 :[ 538.334398] ata2: EH complete 02:46:04 :[ 538.343511] ata1.00: configured for UDMA/133 02:46:04 :[ 538.343519] ata1: EH complete 02:46:04 :[ 538.456413] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:46:04 :[ 538.459404] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:46:04 :[ 538.540138] ata1.00: limiting speed to UDMA/100:PIO4 02:46:04 :[ 538.540159] ata1: hard resetting link 02:46:04 :[ 538.540202] ata2.00: limiting speed to UDMA/100:PIO4 02:46:04 :[ 538.540220] ata2: hard resetting link 02:46:05 :[ 539.290054] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:05 :[ 539.290041] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:05 :[ 539.294100] ata2.00: configured for UDMA/100 02:46:05 :[ 539.294106] ata2: EH complete 02:46:05 :[ 539.314125] ata1.00: configured for UDMA/100 02:46:05 :[ 539.314132] ------------[ cut here ]------------ 02:46:05 :[ 539.314140] WARNING: at /build/buildd/linux-2.6.35/drivers/ata/libata-eh.c:3638 ata_eh_finish+0xdf/0xf0() 02:46:05 :[ 539.314144] Hardware name: MacBookPro5,3 02:46:05 :[ 539.314146] Modules linked in: michael_mic arc4 xt_multiport binfmt_misc rfcomm sco bnep l2cap parport_pc ppdev nvidia(P) ipt_REJECT xt_recent snd_hda_codec_cirrus xt_limit xt_tcpudp ipt_addrtype xt_state snd_hda_intel snd_hda_codec snd_hwdep snd_pcm snd_seq_midi applesmc led_class ip6table_filter lib80211_crypt_tkip snd_rawmidi snd_seq_midi_event ip6_tables input_polldev hid_apple snd_seq wl(P) snd_timer snd_seq_device snd joydev bcm5974 usbhid mbp_nvidia_bl uvcvideo btusb videodev v4l1_compat v4l2_compat_ioctl32 nf_nat_irc hid nf_conntrack_irc soundcore snd_page_alloc i2c_nforce2 coretemp lib80211 bluetooth nf_nat_ftp nf_nat nf_conntrack_ipv4 nf_defrag_ipv4 nf_conntrack_ftp nf_conntrack lp parport iptable_filter ip_tables x_tables usb_storage firewire_ohci firewire_core forcedeth crc_itu_t ahci libahci 02:46:05 :[ 539.314221] Pid: 202, comm: scsi_eh_0 Tainted: P 2.6.35-25-generic #44-Ubuntu 02:46:05 :[ 539.314224] Call Trace: 02:46:05 :[ 539.314233] [<ffffffff8106091f>] warn_slowpath_common+0x7f/0xc0 02:46:05 :[ 539.314237] [<ffffffff8106097a>] warn_slowpath_null+0x1a/0x20 02:46:05 :[ 539.314242] [<ffffffff813dc77f>] ata_eh_finish+0xdf/0xf0 02:46:05 :[ 539.314246] [<ffffffff813e441e>] sata_pmp_error_handler+0x2e/0x40 02:46:05 :[ 539.314256] [<ffffffffa00021bf>] ahci_error_handler+0x1f/0x90 [libahci] 02:46:05 :[ 539.314261] [<ffffffff813dd6d2>] ata_scsi_error+0x492/0x5e0 02:46:05 :[ 539.314266] [<ffffffff813b24cd>] scsi_error_handler+0x10d/0x190 02:46:05 :[ 539.314270] [<ffffffff813b23c0>] ? scsi_error_handler+0x0/0x190 02:46:05 :[ 539.314275] [<ffffffff8107f266>] kthread+0x96/0xa0 02:46:05 :[ 539.314280] [<ffffffff8100aee4>] kernel_thread_helper+0x4/0x10 02:46:05 :[ 539.314284] [<ffffffff8107f1d0>] ? kthread+0x0/0xa0 02:46:05 :[ 539.314288] [<ffffffff8100aee0>] ? kernel_thread_helper+0x0/0x10 02:46:05 :[ 539.314291] ---[ end trace 76dbffc2d5d49d9b ]--- 02:46:05 :[ 539.314296] ata1: EH complete 02:46:12 :[ 547.040117] ata1: hard resetting link 02:46:13 :[ 547.390144] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:13 :[ 547.408430] ata1.00: configured for UDMA/100 02:46:13 :[ 547.408438] ------------[ cut here ]------------ 02:46:13 :[ 547.408447] WARNING: at /build/buildd/linux-2.6.35/drivers/ata/libata-eh.c:3638 ata_eh_finish+0xdf/0xf0() 02:46:13 :[ 547.408451] Hardware name: MacBookPro5,3 02:46:13 :[ 547.408453] Modules linked in: michael_mic arc4 xt_multiport binfmt_misc rfcomm sco bnep l2cap parport_pc ppdev nvidia(P) ipt_REJECT xt_recent snd_hda_codec_cirrus xt_limit xt_tcpudp ipt_addrtype xt_state snd_hda_intel snd_hda_codec snd_hwdep snd_pcm snd_seq_midi applesmc led_class ip6table_filter lib80211_crypt_tkip snd_rawmidi snd_seq_midi_event ip6_tables input_polldev hid_apple snd_seq wl(P) snd_timer snd_seq_device snd joydev bcm5974 usbhid mbp_nvidia_bl uvcvideo btusb videodev v4l1_compat v4l2_compat_ioctl32 nf_nat_irc hid nf_conntrack_irc soundcore snd_page_alloc i2c_nforce2 coretemp lib80211 bluetooth nf_nat_ftp nf_nat nf_conntrack_ipv4 nf_defrag_ipv4 nf_conntrack_ftp nf_conntrack lp parport iptable_filter ip_tables x_tables usb_storage firewire_ohci firewire_core forcedeth crc_itu_t ahci libahci 02:46:13 :[ 547.408528] Pid: 202, comm: scsi_eh_0 Tainted: P W 2.6.35-25-generic #44-Ubuntu 02:46:13 :[ 547.408531] Call Trace: 02:46:13 :[ 547.408540] [<ffffffff8106091f>] warn_slowpath_common+0x7f/0xc0 02:46:13 :[ 547.408544] [<ffffffff8106097a>] warn_slowpath_null+0x1a/0x20 02:46:13 :[ 547.408549] [<ffffffff813dc77f>] ata_eh_finish+0xdf/0xf0 02:46:13 :[ 547.408553] [<ffffffff813e441e>] sata_pmp_error_handler+0x2e/0x40 02:46:13 :[ 547.408563] [<ffffffffa00021bf>] ahci_error_handler+0x1f/0x90 [libahci] 02:46:13 :[ 547.408567] [<ffffffff813dd6d2>] ata_scsi_error+0x492/0x5e0 02:46:13 :[ 547.408572] [<ffffffff813b24cd>] scsi_error_handler+0x10d/0x190 02:46:13 :[ 547.408577] [<ffffffff813b23c0>] ? scsi_error_handler+0x0/0x190 02:46:13 :[ 547.408582] [<ffffffff8107f266>] kthread+0x96/0xa0 02:46:13 :[ 547.408587] [<ffffffff8100aee4>] kernel_thread_helper+0x4/0x10 02:46:13 :[ 547.408591] [<ffffffff8107f1d0>] ? kthread+0x0/0xa0 02:46:13 :[ 547.408595] [<ffffffff8100aee0>] ? kernel_thread_helper+0x0/0x10 02:46:13 :[ 547.408598] ---[ end trace 76dbffc2d5d49d9c ]--- 02:46:13 :[ 547.408620] ata1: EH complete 02:46:13 :[ 547.562470] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:13 :[ 547.671380] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:13 :[ 547.738198] ata1.00: limiting speed to UDMA/33:PIO4 02:46:13 :[ 547.738218] ata1: hard resetting link 02:46:13 :[ 547.738274] ata2: hard resetting link 02:46:14 :[ 548.482561] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:14 :[ 548.484083] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:14 :[ 548.486809] ata2.00: configured for UDMA/100 02:46:14 :[ 548.486818] ata2: EH complete 02:46:14 :[ 548.498998] ata1.00: configured for UDMA/33 02:46:14 :[ 548.499004] ata1: EH complete 02:46:18 :[ 552.410499] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:18 :[ 552.522521] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:18 :[ 552.529684] ata1: hard resetting link 02:46:18 :[ 552.529723] ata2: hard resetting link 02:46:19 :[ 553.280059] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:19 :[ 553.280068] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:19 :[ 553.284141] ata2.00: configured for UDMA/100 02:46:19 :[ 553.284150] ata2: EH complete 02:46:19 :[ 553.301629] ata1.00: configured for UDMA/33 02:46:19 :[ 553.301637] ata1: EH complete 02:46:21 :[ 556.078830] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:46:21 :[ 556.180361] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:46:22 :[ 556.262612] ata1: hard resetting link 02:46:22 :[ 556.262617] ata2: hard resetting link 02:46:22 :[ 557.010050] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:22 :[ 557.010070] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:22 :[ 557.014069] ata2.00: configured for UDMA/100 02:46:22 :[ 557.014075] ata2: EH complete 02:46:22 :[ 557.023646] ata1.00: configured for UDMA/33 02:46:22 :[ 557.023654] ata1: EH complete 02:46:30 :[ 565.047438] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:46:30 :[ 565.051554] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:46:30 :[ 565.108332] ata1: hard resetting link 02:46:30 :[ 565.108389] ata2.00: limiting speed to UDMA/33:PIO4 02:46:30 :[ 565.108406] ata2: hard resetting link 02:46:31 :[ 565.850048] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:31 :[ 565.850068] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:31 :[ 565.854304] ata2.00: configured for UDMA/33 02:46:31 :[ 565.854313] ata2: EH complete 02:46:31 :[ 565.868477] ata1.00: configured for UDMA/33 02:46:31 :[ 565.868485] ata1: EH complete 02:46:35 :[ 569.265469] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 02:46:35 :[ 569.268139] EXT4-fs (dm-2): re-mounted. Opts: commit=0 02:46:35 :[ 569.340079] ata1: hard resetting link 02:46:35 :[ 569.340113] ata2: hard resetting link 02:46:35 :[ 570.092568] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:35 :[ 570.092589] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:46:35 :[ 570.096828] ata2.00: configured for UDMA/33 02:46:35 :[ 570.096837] ata2: EH complete 02:46:35 :[ 570.110727] ata1.00: configured for UDMA/33 02:46:35 :[ 570.110735] ata1: EH complete 02:47:04 :[ 598.528232] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 02:47:04 :[ 598.653973] EXT4-fs (dm-2): re-mounted. Opts: commit=600 02:47:04 :[ 598.730854] ata1: hard resetting link 02:47:04 :[ 598.730910] ata2: hard resetting link 02:47:05 :[ 599.480136] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:47:05 :[ 599.480159] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 02:47:05 :[ 599.484206] ata2.00: configured for UDMA/33 02:47:05 :[ 599.484213] ata2: EH complete 02:47:05 :[ 599.496699] ata1.00: configured for UDMA/33 02:47:05 :[ 599.496707] ata1: EH complete 04:45:59 :[ 7733.756548] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 04:45:59 :[ 7733.882748] EXT4-fs (dm-2): re-mounted. Opts: commit=0 04:45:59 :[ 7733.960142] ata1: hard resetting link 04:45:59 :[ 7733.960189] ata2: hard resetting link 04:46:00 :[ 7734.701926] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 04:46:00 :[ 7734.719939] ata1.00: configured for UDMA/33 04:46:00 :[ 7734.719946] ata1: EH complete 04:46:00 :[ 7734.722547] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 04:46:00 :[ 7734.726652] ata2.00: configured for UDMA/33 04:46:00 :[ 7734.726659] ata2: EH complete 04:46:02 :[ 7736.656465] ACPI: EC: GPE storm detected, transactions will use polling mode 13:38:49 :[39704.188621] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 13:38:49 :[39704.280588] EXT4-fs (dm-2): re-mounted. Opts: commit=600 13:38:49 :[39704.360819] ata1: hard resetting link 13:38:49 :[39704.360882] ata2: hard resetting link 13:38:50 :[39705.112956] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 13:38:50 :[39705.114435] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 13:38:50 :[39705.118673] ata2.00: configured for UDMA/33 13:38:50 :[39705.118682] ata2: EH complete 13:38:50 :[39705.127076] ata1.00: configured for UDMA/33 13:38:50 :[39705.127084] ata1: EH complete 13:39:49 :[39764.142463] applesmc: F1Mn: write arg fail 13:48:11 :[40267.025145] applesmc: FS! : read arg fail 13:52:53 :[40548.596735] applesmc: FS! : read arg fail 13:53:58 :[40613.972856] applesmc: FS! : read arg fail 13:54:08 :[40624.057339] applesmc: FS! : read arg fail 13:58:20 :[40875.397749] applesmc: TC0D: read data fail 14:16:56 :[41991.722054] applesmc: Th2H: read data fail 14:22:32 :[42327.991522] applesmc: light sensor data length set to 10 14:26:19 :[42554.788886] applesmc: F1Mn: write arg fail 14:32:36 :[42931.860443] applesmc: TC0F: read data fail 14:34:32 :[43048.041469] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 14:34:33 :[43048.185850] EXT4-fs (dm-2): re-mounted. Opts: commit=0 14:34:33 :[43048.270184] ata1: hard resetting link 14:34:33 :[43048.270224] ata2: hard resetting link 14:34:33 :[43049.030049] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 14:34:33 :[43049.030065] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 14:34:33 :[43049.034106] ata2.00: configured for UDMA/33 14:34:33 :[43049.034112] ata2: EH complete 14:34:33 :[43049.056952] ata1.00: configured for UDMA/33 14:34:33 :[43049.056959] ------------[ cut here ]------------ 14:34:33 :[43049.056968] WARNING: at /build/buildd/linux-2.6.35/drivers/ata/libata-eh.c:3638 ata_eh_finish+0xdf/0xf0() 14:34:33 :[43049.056971] Hardware name: MacBookPro5,3 14:34:33 :[43049.056973] Modules linked in: michael_mic arc4 xt_multiport binfmt_misc rfcomm sco bnep l2cap parport_pc ppdev nvidia(P) ipt_REJECT xt_recent snd_hda_codec_cirrus xt_limit xt_tcpudp ipt_addrtype xt_state snd_hda_intel snd_hda_codec snd_hwdep snd_pcm snd_seq_midi applesmc led_class ip6table_filter lib80211_crypt_tkip snd_rawmidi snd_seq_midi_event ip6_tables input_polldev hid_apple snd_seq wl(P) snd_timer snd_seq_device snd joydev bcm5974 usbhid mbp_nvidia_bl uvcvideo btusb videodev v4l1_compat v4l2_compat_ioctl32 nf_nat_irc hid nf_conntrack_irc soundcore snd_page_alloc i2c_nforce2 coretemp lib80211 bluetooth nf_nat_ftp nf_nat nf_conntrack_ipv4 nf_defrag_ipv4 nf_conntrack_ftp nf_conntrack lp parport iptable_filter ip_tables x_tables usb_storage firewire_ohci firewire_core forcedeth crc_itu_t ahci libahci 14:34:33 :[43049.057048] Pid: 202, comm: scsi_eh_0 Tainted: P W 2.6.35-25-generic #44-Ubuntu 14:34:33 :[43049.057052] Call Trace: 14:34:33 :[43049.057060] [<ffffffff8106091f>] warn_slowpath_common+0x7f/0xc0 14:34:33 :[43049.057064] [<ffffffff8106097a>] warn_slowpath_null+0x1a/0x20 14:34:33 :[43049.057069] [<ffffffff813dc77f>] ata_eh_finish+0xdf/0xf0 14:34:33 :[43049.057074] [<ffffffff813e441e>] sata_pmp_error_handler+0x2e/0x40 14:34:33 :[43049.057083] [<ffffffffa00021bf>] ahci_error_handler+0x1f/0x90 [libahci] 14:34:33 :[43049.057088] [<ffffffff813dd6d2>] ata_scsi_error+0x492/0x5e0 14:34:33 :[43049.057093] [<ffffffff813b24cd>] scsi_error_handler+0x10d/0x190 14:34:33 :[43049.057097] [<ffffffff813b23c0>] ? scsi_error_handler+0x0/0x190 14:34:33 :[43049.057102] [<ffffffff8107f266>] kthread+0x96/0xa0 14:34:33 :[43049.057107] [<ffffffff8100aee4>] kernel_thread_helper+0x4/0x10 14:34:33 :[43049.057111] [<ffffffff8107f1d0>] ? kthread+0x0/0xa0 14:34:33 :[43049.057115] [<ffffffff8100aee0>] ? kernel_thread_helper+0x0/0x10 14:34:33 :[43049.057118] ---[ end trace 76dbffc2d5d49d9d ]--- 14:34:33 :[43049.057123] ata1: EH complete 14:34:41 :[43057.012698] ata1: hard resetting link 14:34:42 :[43057.362780] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 14:34:42 :[43057.381432] ata1.00: configured for UDMA/33 14:34:42 :[43057.381441] ------------[ cut here ]------------ 14:34:42 :[43057.381450] WARNING: at /build/buildd/linux-2.6.35/drivers/ata/libata-eh.c:3638 ata_eh_finish+0xdf/0xf0() 14:34:42 :[43057.381453] Hardware name: MacBookPro5,3 14:34:42 :[43057.381455] Modules linked in: michael_mic arc4 xt_multiport binfmt_misc rfcomm sco bnep l2cap parport_pc ppdev nvidia(P) ipt_REJECT xt_recent snd_hda_codec_cirrus xt_limit xt_tcpudp ipt_addrtype xt_state snd_hda_intel snd_hda_codec snd_hwdep snd_pcm snd_seq_midi applesmc led_class ip6table_filter lib80211_crypt_tkip snd_rawmidi snd_seq_midi_event ip6_tables input_polldev hid_apple snd_seq wl(P) snd_timer snd_seq_device snd joydev bcm5974 usbhid mbp_nvidia_bl uvcvideo btusb videodev v4l1_compat v4l2_compat_ioctl32 nf_nat_irc hid nf_conntrack_irc soundcore snd_page_alloc i2c_nforce2 coretemp lib80211 bluetooth nf_nat_ftp nf_nat nf_conntrack_ipv4 nf_defrag_ipv4 nf_conntrack_ftp nf_conntrack lp parport iptable_filter ip_tables x_tables usb_storage firewire_ohci firewire_core forcedeth crc_itu_t ahci libahci 14:34:42 :[43057.381530] Pid: 202, comm: scsi_eh_0 Tainted: P W 2.6.35-25-generic #44-Ubuntu 14:34:42 :[43057.381533] Call Trace: 14:34:42 :[43057.381542] [<ffffffff8106091f>] warn_slowpath_common+0x7f/0xc0 14:34:42 :[43057.381546] [<ffffffff8106097a>] warn_slowpath_null+0x1a/0x20 14:34:42 :[43057.381551] [<ffffffff813dc77f>] ata_eh_finish+0xdf/0xf0 14:34:42 :[43057.381556] [<ffffffff813e441e>] sata_pmp_error_handler+0x2e/0x40 14:34:42 :[43057.381565] [<ffffffffa00021bf>] ahci_error_handler+0x1f/0x90 [libahci] 14:34:42 :[43057.381569] [<ffffffff813dd6d2>] ata_scsi_error+0x492/0x5e0 14:34:42 :[43057.381575] [<ffffffff813b24cd>] scsi_error_handler+0x10d/0x190 14:34:42 :[43057.381579] [<ffffffff813b23c0>] ? scsi_error_handler+0x0/0x190 14:34:42 :[43057.381584] [<ffffffff8107f266>] kthread+0x96/0xa0 14:34:42 :[43057.381589] [<ffffffff8100aee4>] kernel_thread_helper+0x4/0x10 14:34:42 :[43057.381594] [<ffffffff8107f1d0>] ? kthread+0x0/0xa0 14:34:42 :[43057.381598] [<ffffffff8100aee0>] ? kernel_thread_helper+0x0/0x10 14:34:42 :[43057.381601] ---[ end trace 76dbffc2d5d49d9e ]--- 14:34:42 :[43057.381624] ata1: EH complete 14:34:42 :[43057.557887] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 14:34:42 :[43057.560517] EXT4-fs (dm-2): re-mounted. Opts: commit=600 14:34:42 :[43057.621194] ata1: hard resetting link 14:34:42 :[43057.621252] ata2: hard resetting link 14:34:43 :[43058.370141] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 14:34:43 :[43058.370162] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 14:34:43 :[43058.374407] ata2.00: configured for UDMA/33 14:34:43 :[43058.374415] ata2: EH complete 14:34:43 :[43058.381989] ata1.00: configured for UDMA/33 14:34:43 :[43058.381996] ata1: EH complete 14:34:43 :[43058.616228] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=600 14:34:43 :[43058.618931] EXT4-fs (dm-2): re-mounted. Opts: commit=600 14:34:43 :[43058.626687] ata1: hard resetting link 14:34:43 :[43058.626731] ata2: hard resetting link 14:34:44 :[43059.372908] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 14:34:44 :[43059.372932] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 14:34:44 :[43059.376997] ata2.00: configured for UDMA/33 14:34:44 :[43059.377003] ata2: EH complete 14:34:44 :[43059.392576] ata1.00: configured for UDMA/33 14:34:44 :[43059.392585] ata1: EH complete 15:48:19 :[47474.710860] ata1: hard resetting link 15:48:19 :[47474.710882] ata2: hard resetting link 15:48:20 :[47475.460144] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 15:48:20 :[47475.460169] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 15:48:20 :[47475.473709] ata1.00: configured for UDMA/33 15:48:20 :[47475.473717] ata1: EH complete 15:48:20 :[47475.727960] ata2.00: configured for UDMA/33 15:48:20 :[47475.727969] ata2: EH complete 16:29:39 :[49954.295017] EXT4-fs (dm-0): re-mounted. Opts: errors=remount-ro,commit=0 16:29:39 :[49954.622307] EXT4-fs (dm-2): re-mounted. Opts: commit=0 16:29:39 :[49954.710139] ata1: hard resetting link 16:29:39 :[49954.710174] ata2: hard resetting link 16:29:40 :[49955.460046] ata1: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 16:29:40 :[49955.460062] ata2: SATA link up 1.5 Gbps (SStatus 113 SControl 310) 16:29:40 :[49955.464138] ata2.00: configured for UDMA/33 16:29:40 :[49955.464144] ata2: EH complete 16:29:40 :[49955.473251] ata1.00: configured for UDMA/33 16:29:40 :[49955.473258] ata1: EH complete

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  • The Incremental Architect&acute;s Napkin &ndash; #3 &ndash; Make Evolvability inevitable

    - by Ralf Westphal
    Originally posted on: http://geekswithblogs.net/theArchitectsNapkin/archive/2014/06/04/the-incremental-architectacutes-napkin-ndash-3-ndash-make-evolvability-inevitable.aspxThe easier something to measure the more likely it will be produced. Deviations between what is and what should be can be readily detected. That´s what automated acceptance tests are for. That´s what sprint reviews in Scrum are for. It´s no small wonder our software looks like it looks. It has all the traits whose conformance with requirements can easily be measured. And it´s lacking traits which cannot easily be measured. Evolvability (or Changeability) is such a trait. If an operation is correct, if an operation if fast enough, that can be checked very easily. But whether Evolvability is high or low, that cannot be checked by taking a measure or two. Evolvability might correlate with certain traits, e.g. number of lines of code (LOC) per function or Cyclomatic Complexity or test coverage. But there is no threshold value signalling “evolvability too low”; also Evolvability is hardly tangible for the customer. Nevertheless Evolvability is of great importance - at least in the long run. You can get away without much of it for a short time. Eventually, though, it´s needed like any other requirement. Or even more. Because without Evolvability no other requirement can be implemented. Evolvability is the foundation on which all else is build. Such fundamental importance is in stark contrast with its immeasurability. To compensate this, Evolvability must be put at the very center of software development. It must become the hub around everything else revolves. Since we cannot measure Evolvability, though, we cannot start watching it more. Instead we need to establish practices to keep it high (enough) at all times. Chefs have known that for long. That´s why everybody in a restaurant kitchen is constantly seeing after cleanliness. Hygiene is important as is to have clean tools at standardized locations. Only then the health of the patrons can be guaranteed and production efficiency is constantly high. Still a kitchen´s level of cleanliness is easier to measure than software Evolvability. That´s why important practices like reviews, pair programming, or TDD are not enough, I guess. What we need to keep Evolvability in focus and high is… to continually evolve. Change must not be something to avoid but too embrace. To me that means the whole change cycle from requirement analysis to delivery needs to be gone through more often. Scrum´s sprints of 4, 2 even 1 week are too long. Kanban´s flow of user stories across is too unreliable; it takes as long as it takes. Instead we should fix the cycle time at 2 days max. I call that Spinning. No increment must take longer than from this morning until tomorrow evening to finish. Then it should be acceptance checked by the customer (or his/her representative, e.g. a Product Owner). For me there are several resasons for such a fixed and short cycle time for each increment: Clear expectations Absolute estimates (“This will take X days to complete.”) are near impossible in software development as explained previously. Too much unplanned research and engineering work lurk in every feature. And then pervasive interruptions of work by peers and management. However, the smaller the scope the better our absolute estimates become. That´s because we understand better what really are the requirements and what the solution should look like. But maybe more importantly the shorter the timespan the more we can control how we use our time. So much can happen over the course of a week and longer timespans. But if push comes to shove I can block out all distractions and interruptions for a day or possibly two. That´s why I believe we can give rough absolute estimates on 3 levels: Noon Tonight Tomorrow Think of a meeting with a Product Owner at 8:30 in the morning. If she asks you, how long it will take you to implement a user story or bug fix, you can say, “It´ll be fixed by noon.”, or you can say, “I can manage to implement it until tonight before I leave.”, or you can say, “You´ll get it by tomorrow night at latest.” Yes, I believe all else would be naive. If you´re not confident to get something done by tomorrow night (some 34h from now) you just cannot reliably commit to any timeframe. That means you should not promise anything, you should not even start working on the issue. So when estimating use these four categories: Noon, Tonight, Tomorrow, NoClue - with NoClue meaning the requirement needs to be broken down further so each aspect can be assigned to one of the first three categories. If you like absolute estimates, here you go. But don´t do deep estimates. Don´t estimate dozens of issues; don´t think ahead (“Issue A is a Tonight, then B will be a Tomorrow, after that it´s C as a Noon, finally D is a Tonight - that´s what I´ll do this week.”). Just estimate so Work-in-Progress (WIP) is 1 for everybody - plus a small number of buffer issues. To be blunt: Yes, this makes promises impossible as to what a team will deliver in terms of scope at a certain date in the future. But it will give a Product Owner a clear picture of what to pull for acceptance feedback tonight and tomorrow. Trust through reliability Our trade is lacking trust. Customers don´t trust software companies/departments much. Managers don´t trust developers much. I find that perfectly understandable in the light of what we´re trying to accomplish: delivering software in the face of uncertainty by means of material good production. Customers as well as managers still expect software development to be close to production of houses or cars. But that´s a fundamental misunderstanding. Software development ist development. It´s basically research. As software developers we´re constantly executing experiments to find out what really provides value to users. We don´t know what they need, we just have mediated hypothesises. That´s why we cannot reliably deliver on preposterous demands. So trust is out of the window in no time. If we switch to delivering in short cycles, though, we can regain trust. Because estimates - explicit or implicit - up to 32 hours at most can be satisfied. I´d say: reliability over scope. It´s more important to reliably deliver what was promised then to cover a lot of requirement area. So when in doubt promise less - but deliver without delay. Deliver on scope (Functionality and Quality); but also deliver on Evolvability, i.e. on inner quality according to accepted principles. Always. Trust will be the reward. Less complexity of communication will follow. More goodwill buffer will follow. So don´t wait for some Kanban board to show you, that flow can be improved by scheduling smaller stories. You don´t need to learn that the hard way. Just start with small batch sizes of three different sizes. Fast feedback What has been finished can be checked for acceptance. Why wait for a sprint of several weeks to end? Why let the mental model of the issue and its solution dissipate? If you get final feedback after one or two weeks, you hardly remember what you did and why you did it. Resoning becomes hard. But more importantly youo probably are not in the mood anymore to go back to something you deemed done a long time ago. It´s boring, it´s frustrating to open up that mental box again. Learning is harder the longer it takes from event to feedback. Effort can be wasted between event (finishing an issue) and feedback, because other work might go in the wrong direction based on false premises. Checking finished issues for acceptance is the most important task of a Product Owner. It´s even more important than planning new issues. Because as long as work started is not released (accepted) it´s potential waste. So before starting new work better make sure work already done has value. By putting the emphasis on acceptance rather than planning true pull is established. As long as planning and starting work is more important, it´s a push process. Accept a Noon issue on the same day before leaving. Accept a Tonight issue before leaving today or first thing tomorrow morning. Accept a Tomorrow issue tomorrow night before leaving or early the day after tomorrow. After acceptance the developer(s) can start working on the next issue. Flexibility As if reliability/trust and fast feedback for less waste weren´t enough economic incentive, there is flexibility. After each issue the Product Owner can change course. If on Monday morning feature slices A, B, C, D, E were important and A, B, C were scheduled for acceptance by Monday evening and Tuesday evening, the Product Owner can change her mind at any time. Maybe after A got accepted she asks for continuation with D. But maybe, just maybe, she has gotten a completely different idea by then. Maybe she wants work to continue on F. And after B it´s neither D nor E, but G. And after G it´s D. With Spinning every 32 hours at latest priorities can be changed. And nothing is lost. Because what got accepted is of value. It provides an incremental value to the customer/user. Or it provides internal value to the Product Owner as increased knowledge/decreased uncertainty. I find such reactivity over commitment economically very benefical. Why commit a team to some workload for several weeks? It´s unnecessary at beast, and inflexible and wasteful at worst. If we cannot promise delivery of a certain scope on a certain date - which is what customers/management usually want -, we can at least provide them with unpredecented flexibility in the face of high uncertainty. Where the path is not clear, cannot be clear, make small steps so you´re able to change your course at any time. Premature completion Customers/management are used to premeditating budgets. They want to know exactly how much to pay for a certain amount of requirements. That´s understandable. But it does not match with the nature of software development. We should know that by now. Maybe there´s somewhere in the world some team who can consistently deliver on scope, quality, and time, and budget. Great! Congratulations! I, however, haven´t seen such a team yet. Which does not mean it´s impossible, but I think it´s nothing I can recommend to strive for. Rather I´d say: Don´t try this at home. It might hurt you one way or the other. However, what we can do, is allow customers/management stop work on features at any moment. With spinning every 32 hours a feature can be declared as finished - even though it might not be completed according to initial definition. I think, progress over completion is an important offer software development can make. Why think in terms of completion beyond a promise for the next 32 hours? Isn´t it more important to constantly move forward? Step by step. We´re not running sprints, we´re not running marathons, not even ultra-marathons. We´re in the sport of running forever. That makes it futile to stare at the finishing line. The very concept of a burn-down chart is misleading (in most cases). Whoever can only think in terms of completed requirements shuts out the chance for saving money. The requirements for a features mostly are uncertain. So how does a Product Owner know in the first place, how much is needed. Maybe more than specified is needed - which gets uncovered step by step with each finished increment. Maybe less than specified is needed. After each 4–32 hour increment the Product Owner can do an experient (or invite users to an experiment) if a particular trait of the software system is already good enough. And if so, she can switch the attention to a different aspect. In the end, requirements A, B, C then could be finished just 70%, 80%, and 50%. What the heck? It´s good enough - for now. 33% money saved. Wouldn´t that be splendid? Isn´t that a stunning argument for any budget-sensitive customer? You can save money and still get what you need? Pull on practices So far, in addition to more trust, more flexibility, less money spent, Spinning led to “doing less” which also means less code which of course means higher Evolvability per se. Last but not least, though, I think Spinning´s short acceptance cycles have one more effect. They excert pull-power on all sorts of practices known for increasing Evolvability. If, for example, you believe high automated test coverage helps Evolvability by lowering the fear of inadverted damage to a code base, why isn´t 90% of the developer community practicing automated tests consistently? I think, the answer is simple: Because they can do without. Somehow they manage to do enough manual checks before their rare releases/acceptance checks to ensure good enough correctness - at least in the short term. The same goes for other practices like component orientation, continuous build/integration, code reviews etc. None of that is compelling, urgent, imperative. Something else always seems more important. So Evolvability principles and practices fall through the cracks most of the time - until a project hits a wall. Then everybody becomes desperate; but by then (re)gaining Evolvability has become as very, very difficult and tedious undertaking. Sometimes up to the point where the existence of a project/company is in danger. With Spinning that´s different. If you´re practicing Spinning you cannot avoid all those practices. With Spinning you very quickly realize you cannot deliver reliably even on your 32 hour promises. Spinning thus is pulling on developers to adopt principles and practices for Evolvability. They will start actively looking for ways to keep their delivery rate high. And if not, management will soon tell them to do that. Because first the Product Owner then management will notice an increasing difficulty to deliver value within 32 hours. There, finally there emerges a way to measure Evolvability: The more frequent developers tell the Product Owner there is no way to deliver anything worth of feedback until tomorrow night, the poorer Evolvability is. Don´t count the “WTF!”, count the “No way!” utterances. In closing For sustainable software development we need to put Evolvability first. Functionality and Quality must not rule software development but be implemented within a framework ensuring (enough) Evolvability. Since Evolvability cannot be measured easily, I think we need to put software development “under pressure”. Software needs to be changed more often, in smaller increments. Each increment being relevant to the customer/user in some way. That does not mean each increment is worthy of shipment. It´s sufficient to gain further insight from it. Increments primarily serve the reduction of uncertainty, not sales. Sales even needs to be decoupled from this incremental progress. No more promises to sales. No more delivery au point. Rather sales should look at a stream of accepted increments (or incremental releases) and scoup from that whatever they find valuable. Sales and marketing need to realize they should work on what´s there, not what might be possible in the future. But I digress… In my view a Spinning cycle - which is not easy to reach, which requires practice - is the core practice to compensate the immeasurability of Evolvability. From start to finish of each issue in 32 hours max - that´s the challenge we need to accept if we´re serious increasing Evolvability. Fortunately higher Evolvability is not the only outcome of Spinning. Customer/management will like the increased flexibility and “getting more bang for the buck”.

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  • Autocorrelation returns random results with mic input (using a high pass filter)

    - by Niall
    Hello, Sorry to ask a similar question to the one i asked before (FFT Problem (Returns random results)), but i've looked up pitch detection and autocorrelation and have found some code for pitch detection using autocorrelation. Im trying to do pitch detection of a users singing. Problem is, it keeps returning random results. I've got some code from http://code.google.com/p/yaalp/ which i've converted to C++ and modified (below). My sample rate is 2048, and data size is 1024. I'm detecting pitch of both a sine wave and mic input. The frequency of the sine wave is 726.0, and its detecting it to be 722.950820 (which im ok with), but its detecting the pitch of the mic as a random number from around 100 to around 1050. I'm now using a High pass filter to remove the DC offset, but it's not working. Am i doing it right, and if so, what else can i do to fix it? Any help would be greatly appreciated! double* doHighPassFilter(short *buffer) { // Do FFT: int bufferLength = 1024; float *real = malloc(bufferLength*sizeof(float)); float *real2 = malloc(bufferLength*sizeof(float)); for(int x=0;x<bufferLength;x++) { real[x] = buffer[x]; } fft(real, bufferLength); for(int x=0;x<bufferLength;x+=2) { real2[x] = real[x]; } for (int i=0; i < 30; i++) //Set freqs lower than 30hz to zero to attenuate the low frequencies real2[i] = 0; // Do inverse FFT: inversefft(real2,bufferLength); double* real3 = (double*)real2; return real3; } double DetectPitch(short* data) { int sampleRate = 2048; //Create sine wave double *buffer = malloc(1024*sizeof(short)); double amplitude = 0.25 * 32768; //0.25 * max length of short double frequency = 726.0; for (int n = 0; n < 1024; n++) { buffer[n] = (short)(amplitude * sin((2 * 3.14159265 * n * frequency) / sampleRate)); } doHighPassFilter(data); printf("Pitch from sine wave: %f\n",detectPitchCalculation(buffer, 50.0, 1000.0, 1, 1)); printf("Pitch from mic: %f\n",detectPitchCalculation(data, 50.0, 1000.0, 1, 1)); return 0; } // These work by shifting the signal until it seems to correlate with itself. // In other words if the signal looks very similar to (signal shifted 200 data) than the fundamental period is probably 200 data // Note that the algorithm only works well when there's only one prominent fundamental. // This could be optimized by looking at the rate of change to determine a maximum without testing all periods. double detectPitchCalculation(double* data, double minHz, double maxHz, int nCandidates, int nResolution) { //-------------------------1-------------------------// // note that higher frequency means lower period int nLowPeriodInSamples = hzToPeriodInSamples(maxHz, 2048); int nHiPeriodInSamples = hzToPeriodInSamples(minHz, 2048); if (nHiPeriodInSamples <= nLowPeriodInSamples) printf("Bad range for pitch detection."); if (1024 < nHiPeriodInSamples) printf("Not enough data."); double *results = new double[nHiPeriodInSamples - nLowPeriodInSamples]; //-------------------------2-------------------------// for (int period = nLowPeriodInSamples; period < nHiPeriodInSamples; period += nResolution) { double sum = 0; // for each sample, find correlation. (If they are far apart, small) for (int i = 0; i < 1024 - period; i++) sum += data[i] * data[i + period]; double mean = sum / 1024.0; results[period - nLowPeriodInSamples] = mean; } //-------------------------3-------------------------// // find the best indices int *bestIndices = findBestCandidates(nCandidates, results, nHiPeriodInSamples - nLowPeriodInSamples - 1); //note findBestCandidates modifies parameter // convert back to Hz double *res = new double[nCandidates]; for (int i=0; i < nCandidates;i++) res[i] = periodInSamplesToHz(bestIndices[i]+nLowPeriodInSamples, 2048); double pitch2 = res[0]; free(res); free(results); return pitch2; } /// Finds n "best" values from an array. Returns the indices of the best parts. /// (One way to do this would be to sort the array, but that could take too long. /// Warning: Changes the contents of the array!!! Do not use result array afterwards. int* findBestCandidates(int n, double* inputs,int length) { //int length = inputs.Length; if (length < n) printf("Length of inputs is not long enough."); int *res = new int[n]; double minValue = 0; for (int c = 0; c < n; c++) { // find the highest. double fBestValue = minValue; int nBestIndex = -1; for (int i = 0; i < length; i++) { if (inputs[i] > fBestValue) { nBestIndex = i; fBestValue = inputs[i]; } } // record this highest value res[c] = nBestIndex; // now blank out that index. if(nBestIndex!=-1) inputs[nBestIndex] = minValue; } return res; } int hzToPeriodInSamples(double hz, int sampleRate) { return (int)(1 / (hz / (double)sampleRate)); } double periodInSamplesToHz(int period, int sampleRate) { return 1 / (period / (double)sampleRate); } Thanks, Niall. Edit: Changed the code to implement a high pass filter with a cutoff of 30hz (from What Are High-Pass and Low-Pass Filters?, can anyone tell me how to convert the low-pass filter using convolution to a high-pass one?) but it's still returning random results. Plugging it into a VST host and using VST plugins to compare spectrums isn't an option to me unfortunately.

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  • Sensible Way to Pass Web Data in XML to a SQL Server Database

    - by Emtucifor
    After exploring several different ways to pass web data to a database for update purposes, I'm wondering if XML might be a good strategy. The database is currently SQL 2000. In a few months it will move to SQL 2005 and I will be able to change things if needed, but I need a SQL 2000 solution now. First of all, the database in question uses the EAV model. I know that this kind of database is generally highly frowned on, so for the purposes of this question, please just accept that this is not going to change. The current update method has the web server inserting values (that have all been converted first to their correct underlying types, then to sql_variant) to a temp table. A stored procedure is then run which expects the temp table to exist and it takes care of updating, inserting, or deleting things as needed. So far, only a single element has needed to be updated at a time. But now, there is a requirement to be able to edit multiple elements at once, and also to support hierarchical elements, each of which can have its own list of attributes. Here's some example XML I hand-typed to demonstrate what I'm thinking of. Note that in this database the Entity is Element and an ID of 0 signifies "create" aka an insert of a new item. <Elements> <Element ID="1234"> <Attr ID="221">Value</Attr> <Attr ID="225">287</Attr> <Attr ID="234"> <Element ID="99825"> <Attr ID="7">Value1</Attr> <Attr ID="8">Value2</Attr> <Attr ID="9" Action="delete" /> </Element> <Element ID="99826" Action="delete" /> <Element ID="0" Type="24"> <Attr ID="7">Value4</Attr> <Attr ID="8">Value5</Attr> <Attr ID="9">Value6</Attr> </Element> <Element ID="0" Type="24"> <Attr ID="7">Value7</Attr> <Attr ID="8">Value8</Attr> <Attr ID="9">Value9</Attr> </Element> </Attr> <Rel ID="3827" Action="delete" /> <Rel ID="2284" Role="parent"> <Element ID="3827" /> <Element ID="3829" /> <Attr ID="665">1</Attr> </Rel> <Rel ID="0" Type="23" Role="child"> <Element ID="3830" /> <Attr ID="67" </Rel> </Element> <Element ID="0" Type="87"> <Attr ID="221">Value</Attr> <Attr ID="225">569</Attr> <Attr ID="234"> <Element ID="0" Type="24"> <Attr ID="7">Value10</Attr> <Attr ID="8">Value11</Attr> <Attr ID="9">Value12</Attr> </Element> </Attr> </Element> <Element ID="1235" Action="delete" /> </Elements> Some Attributes are straight value types, such as AttrID 221. But AttrID 234 is a special "multi-value" type that can have a list of elements underneath it, and each one can have one or more values. Types only need to be presented when a new item is created, since the ElementID fully implies the type if it already exists. I'll probably support only passing in changed items (as detected by javascript). And there may be an Action="Delete" on Attr elements as well, since NULLs are treated as "unselected"--sometimes it's very important to know if a Yes/No question has intentionally been answered No or if no one's bothered to say Yes yet. There is also a different kind of data, a Relationship. At this time, those are updated through individual AJAX calls as things are edited in the UI, but I'd like to include those so that changes to relationships can be canceled (right now, once you change it, it's done). So those are really elements, too, but they are called Rel instead of Element. Relationships are implemented as ElementID1 and ElementID2, so the RelID 2284 in the XML above is in the database as: ElementID 2284 ElementID1 1234 ElementID2 3827 Having multiple children in one relationship isn't currently supported, but it would be nice later. Does this strategy and the example XML make sense? Is there a more sensible way? I'm just looking for some broad critique to help save me from going down a bad path. Any aspect that you'd like to comment on would be helpful. The web language happens to be Classic ASP, but that could change to ASP.Net at some point. A persistence engine like Linq or nHibernate is probably not acceptable right now--I just want to get this already working application enhanced without a huge amount of development time. I'll choose the answer that shows experience and has a balance of good warnings about what not to do, confirmations of what I'm planning to do, and recommendations about something else to do. I'll make it as objective as possible. P.S. I'd like to handle unicode characters as well as very long strings (10k +). UPDATE I have had this working for some time and I used the ADO Recordset Save-To-Stream trick to make creating the XML really easy. The result seems to be fairly fast, though if speed ever becomes a problem I may revisit this. In the meantime, my code works to handle any number of elements and attributes on the page at once, including updating, deleting, and creating new items all in one go. I settled on a scheme like so for all my elements: Existing data elements Example: input name e12345_a678 (element 12345, attribute 678), the input value is the value of the attribute. New elements Javascript copies a hidden template of the set of HTML elements needed for the type into the correct location on the page, increments a counter to get a new ID for this item, and prepends the number to the names of the form items. var newid = 0; function metadataAdd(reference, nameid, value) { var t = document.createElement('input'); t.setAttribute('name', nameid); t.setAttribute('id', nameid); t.setAttribute('type', 'hidden'); t.setAttribute('value', value); reference.appendChild(t); } function multiAdd(target, parentelementid, attrid, elementtypeid) { var proto = document.getElementById('a' + attrid + '_proto'); var instance = document.createElement('p'); target.parentNode.parentNode.insertBefore(instance, target.parentNode); var thisid = ++newid; instance.innerHTML = proto.innerHTML.replace(/{prefix}/g, 'n' + thisid + '_'); instance.id = 'n' + thisid; instance.className += ' new'; metadataAdd(instance, 'n' + thisid + '_p', parentelementid); metadataAdd(instance, 'n' + thisid + '_c', attrid); metadataAdd(instance, 'n' + thisid + '_t', elementtypeid); return false; } Example: Template input name _a678 becomes n1_a678 (a new element, the first one on the page, attribute 678). all attributes of this new element are tagged with the same prefix of n1. The next new item will be n2, and so on. Some hidden form inputs are created: n1_t, value is the elementtype of the element to be created n1_p, value is the parent id of the element (if it is a relationship) n1_c, value is the child id of the element (if it is a relationship) Deleting elements A hidden input is created in the form e12345_t with value set to 0. The existing controls displaying that attribute's values are disabled so they are not included in the form post. So "set type to 0" is treated as delete. With this scheme, every item on the page has a unique name and can be distinguished properly, and every action can be represented properly. When the form is posted, here's a sample of building one of the two recordsets used (classic ASP code): Set Data = Server.CreateObject("ADODB.Recordset") Data.Fields.Append "ElementID", adInteger, 4, adFldKeyColumn Data.Fields.Append "AttrID", adInteger, 4, adFldKeyColumn Data.Fields.Append "Value", adLongVarWChar, 2147483647, adFldIsNullable Or adFldMayBeNull Data.CursorLocation = adUseClient Data.CursorType = adOpenDynamic Data.Open This is the recordset for values, the other is for the elements themselves. I step through the posted form and for the element recordset use a Scripting.Dictionary populated with instances of a custom Class that has the properties I need, so that I can add the values piecemeal, since they don't always come in order. New elements are added as negative to distinguish them from regular elements (rather than requiring a separate column to indicate if it is new or addresses an existing element). I use regular expression to tear apart the form keys: "^(e|n)([0-9]{1,10})_(a|p|t|c)([0-9]{0,10})$" Then, adding an attribute looks like this. Data.AddNew ElementID.Value = DataID AttrID.Value = Integerize(Matches(0).SubMatches(3)) AttrValue.Value = Request.Form(Key) Data.Update ElementID, AttrID, and AttrValue are references to the fields of the recordset. This method is hugely faster than using Data.Fields("ElementID").Value each time. I loop through the Dictionary of element updates and ignore any that don't have all the proper information, adding the good ones to the recordset. Then I call my data-updating stored procedure like so: Set Cmd = Server.CreateObject("ADODB.Command") With Cmd Set .ActiveConnection = MyDBConn .CommandType = adCmdStoredProc .CommandText = "DataPost" .Prepared = False .Parameters.Append .CreateParameter("@ElementMetadata", adLongVarWChar, adParamInput, 2147483647, XMLFromRecordset(Element)) .Parameters.Append .CreateParameter("@ElementData", adLongVarWChar, adParamInput, 2147483647, XMLFromRecordset(Data)) End With Result.Open Cmd ' previously created recordset object with options set Here's the function that does the xml conversion: Private Function XMLFromRecordset(Recordset) Dim Stream Set Stream = Server.CreateObject("ADODB.Stream") Stream.Open Recordset.Save Stream, adPersistXML Stream.Position = 0 XMLFromRecordset = Stream.ReadText End Function Just in case the web page needs to know, the SP returns a recordset of any new elements, showing their page value and their created value (so I can see that n1 is now e12346 for example). Here are some key snippets from the stored procedure. Note this is SQL 2000 for now, though I'll be able to switch to 2005 soon: CREATE PROCEDURE [dbo].[DataPost] @ElementMetaData ntext, @ElementData ntext AS DECLARE @hdoc int --- snip --- EXEC sp_xml_preparedocument @hdoc OUTPUT, @ElementMetaData, '<xml xmlns:s="uuid:BDC6E3F0-6DA3-11d1-A2A3-00AA00C14882" xmlns:dt="uuid:C2F41010-65B3-11d1-A29F-00AA00C14882" xmlns:rs="urn:schemas-microsoft-com:rowset" xmlns:z="#RowsetSchema" />' INSERT #ElementMetadata (ElementID, ElementTypeID, ElementID1, ElementID2) SELECT * FROM OPENXML(@hdoc, '/xml/rs:data/rs:insert/z:row', 0) WITH ( ElementID int, ElementTypeID int, ElementID1 int, ElementID2 int ) ORDER BY ElementID -- orders negative items (new elements) first so they begin counting at 1 for later ID calculation EXEC sp_xml_removedocument @hdoc --- snip --- UPDATE E SET E.ElementTypeID = M.ElementTypeID FROM Element E INNER JOIN #ElementMetadata M ON E.ElementID = M.ElementID WHERE E.ElementID >= 1 AND M.ElementTypeID >= 1 The following query does the correlation of the negative new element ids to the newly inserted ones: UPDATE #ElementMetadata -- Correlate the new ElementIDs with the input rows SET NewElementID = Scope_Identity() - @@RowCount + DataID WHERE ElementID < 0 Other set-based queries do all the other work of validating that the attributes are allowed, are the correct data type, and inserting, updating, and deleting elements and attributes. I hope this brief run-down is useful to others some day! Converting ADO Recordsets to an XML stream was a huge winner for me as it saved all sorts of time and had a namespace and schema already defined that made the results come out correctly. Using a flatter XML format with 2 inputs was also much easier than sticking to some ideal about having everything in a single XML stream.

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  • Sensible Way to Pass Web Data to Sql Server Database

    - by Emtucifor
    After exploring several different ways to pass web data to a database for update purposes, I'm wondering if XML might be a good strategy. The database is currently SQL 2000. In a few months it will move to SQL 2005 and I will be able to change things if needed, but I need a SQL 2000 solution now. First of all, the database in question uses the EAV model. I know that this kind of database is generally highly frowned on, so for the purposes of this question, please just accept that this is not going to change. The current update method has the web server inserting values (that have all been converted first to their correct underlying types, then to sql_variant) to a temp table. A stored procedure is then run which expects the temp table to exist and it takes care of updating, inserting, or deleting things as needed. So far, only a single element has needed to be updated at a time. But now, there is a requirement to be able to edit multiple elements at once, and also to support hierarchical elements, each of which can have its own list of attributes. Here's some example XML I hand-typed to demonstrate what I'm thinking of. Note that in this database the Entity is Element and an ID of 0 signifies "create" aka an insert of a new item. <Elements> <Element ID="1234"> <Attr ID="221">Value</Attr> <Attr ID="225">287</Attr> <Attr ID="234"> <Element ID="99825"> <Attr ID="7">Value1</Attr> <Attr ID="8">Value2</Attr> <Attr ID="9" Action="delete" /> </Element> <Element ID="99826" Action="delete" /> <Element ID="0" Type="24"> <Attr ID="7">Value4</Attr> <Attr ID="8">Value5</Attr> <Attr ID="9">Value6</Attr> </Element> <Element ID="0" Type="24"> <Attr ID="7">Value7</Attr> <Attr ID="8">Value8</Attr> <Attr ID="9">Value9</Attr> </Element> </Attr> <Rel ID="3827" Action="delete" /> <Rel ID="2284" Role="parent"> <Element ID="3827" /> <Element ID="3829" /> <Attr ID="665">1</Attr> </Rel> <Rel ID="0" Type="23" Role="child"> <Element ID="3830" /> <Attr ID="67" </Rel> </Element> <Element ID="0" Type="87"> <Attr ID="221">Value</Attr> <Attr ID="225">569</Attr> <Attr ID="234"> <Element ID="0" Type="24"> <Attr ID="7">Value10</Attr> <Attr ID="8">Value11</Attr> <Attr ID="9">Value12</Attr> </Element> </Attr> </Element> <Element ID="1235" Action="delete" /> </Elements> Some Attributes are straight value types, such as AttrID 221. But AttrID 234 is a special "multi-value" type that can have a list of elements underneath it, and each one can have one or more values. Types only need to be presented when a new item is created, since the ElementID fully implies the type if it already exists. I'll probably support only passing in changed items (as detected by javascript). And there may be an Action="Delete" on Attr elements as well, since NULLs are treated as "unselected"--sometimes it's very important to know if a Yes/No question has intentionally been answered No or if no one's bothered to say Yes yet. There is also a different kind of data, a Relationship. At this time, those are updated through individual AJAX calls as things are edited in the UI, but I'd like to include those so that changes to relationships can be canceled (right now, once you change it, it's done). So those are really elements, too, but they are called Rel instead of Element. Relationships are implemented as ElementID1 and ElementID2, so the RelID 2284 in the XML above is in the database as: ElementID 2284 ElementID1 1234 ElementID2 3827 Having multiple children in one relationship isn't currently supported, but it would be nice later. Does this strategy and the example XML make sense? Is there a more sensible way? I'm just looking for some broad critique to help save me from going down a bad path. Any aspect that you'd like to comment on would be helpful. The web language happens to be Classic ASP, but that could change to ASP.Net at some point. A persistence engine like Linq or nHibernate is probably not acceptable right now--I just want to get this already working application enhanced without a huge amount of development time. I'll choose the answer that shows experience and has a balance of good warnings about what not to do, confirmations of what I'm planning to do, and recommendations about something else to do. I'll make it as objective as possible. P.S. I'd like to handle unicode characters as well as very long strings (10k +). UPDATE I have had this working for some time and I used the ADO Recordset Save-To-Stream trick to make creating the XML really easy. The result seems to be fairly fast, though if speed ever becomes a problem I may revisit this. In the meantime, my code works to handle any number of elements and attributes on the page at once, including updating, deleting, and creating new items all in one go. I settled on a scheme like so for all my elements: Existing data elements Example: input name e12345_a678 (element 12345, attribute 678), the input value is the value of the attribute. New elements Javascript copies a hidden template of the set of HTML elements needed for the type into the correct location on the page, increments a counter to get a new ID for this item, and prepends the number to the names of the form items. var newid = 0; function metadataAdd(reference, nameid, value) { var t = document.createElement('input'); t.setAttribute('name', nameid); t.setAttribute('id', nameid); t.setAttribute('type', 'hidden'); t.setAttribute('value', value); reference.appendChild(t); } function multiAdd(target, parentelementid, attrid, elementtypeid) { var proto = document.getElementById('a' + attrid + '_proto'); var instance = document.createElement('p'); target.parentNode.parentNode.insertBefore(instance, target.parentNode); var thisid = ++newid; instance.innerHTML = proto.innerHTML.replace(/{prefix}/g, 'n' + thisid + '_'); instance.id = 'n' + thisid; instance.className += ' new'; metadataAdd(instance, 'n' + thisid + '_p', parentelementid); metadataAdd(instance, 'n' + thisid + '_c', attrid); metadataAdd(instance, 'n' + thisid + '_t', elementtypeid); return false; } Example: Template input name _a678 becomes n1_a678 (a new element, the first one on the page, attribute 678). all attributes of this new element are tagged with the same prefix of n1. The next new item will be n2, and so on. Some hidden form inputs are created: n1_t, value is the elementtype of the element to be created n1_p, value is the parent id of the element (if it is a relationship) n1_c, value is the child id of the element (if it is a relationship) Deleting elements A hidden input is created in the form e12345_t with value set to 0. The existing controls displaying that attribute's values are disabled so they are not included in the form post. So "set type to 0" is treated as delete. With this scheme, every item on the page has a unique name and can be distinguished properly, and every action can be represented properly. When the form is posted, here's a sample of building one of the two recordsets used (classic ASP code): Set Data = Server.CreateObject("ADODB.Recordset") Data.Fields.Append "ElementID", adInteger, 4, adFldKeyColumn Data.Fields.Append "AttrID", adInteger, 4, adFldKeyColumn Data.Fields.Append "Value", adLongVarWChar, 2147483647, adFldIsNullable Or adFldMayBeNull Data.CursorLocation = adUseClient Data.CursorType = adOpenDynamic Data.Open This is the recordset for values, the other is for the elements themselves. I step through the posted form and for the element recordset use a Scripting.Dictionary populated with instances of a custom Class that has the properties I need, so that I can add the values piecemeal, since they don't always come in order. New elements are added as negative to distinguish them from regular elements (rather than requiring a separate column to indicate if it is new or addresses an existing element). I use regular expression to tear apart the form keys: "^(e|n)([0-9]{1,10})_(a|p|t|c)([0-9]{0,10})$" Then, adding an attribute looks like this. Data.AddNew ElementID.Value = DataID AttrID.Value = Integerize(Matches(0).SubMatches(3)) AttrValue.Value = Request.Form(Key) Data.Update ElementID, AttrID, and AttrValue are references to the fields of the recordset. This method is hugely faster than using Data.Fields("ElementID").Value each time. I loop through the Dictionary of element updates and ignore any that don't have all the proper information, adding the good ones to the recordset. Then I call my data-updating stored procedure like so: Set Cmd = Server.CreateObject("ADODB.Command") With Cmd Set .ActiveConnection = MyDBConn .CommandType = adCmdStoredProc .CommandText = "DataPost" .Prepared = False .Parameters.Append .CreateParameter("@ElementMetadata", adLongVarWChar, adParamInput, 2147483647, XMLFromRecordset(Element)) .Parameters.Append .CreateParameter("@ElementData", adLongVarWChar, adParamInput, 2147483647, XMLFromRecordset(Data)) End With Result.Open Cmd ' previously created recordset object with options set Here's the function that does the xml conversion: Private Function XMLFromRecordset(Recordset) Dim Stream Set Stream = Server.CreateObject("ADODB.Stream") Stream.Open Recordset.Save Stream, adPersistXML Stream.Position = 0 XMLFromRecordset = Stream.ReadText End Function Just in case the web page needs to know, the SP returns a recordset of any new elements, showing their page value and their created value (so I can see that n1 is now e12346 for example). Here are some key snippets from the stored procedure. Note this is SQL 2000 for now, though I'll be able to switch to 2005 soon: CREATE PROCEDURE [dbo].[DataPost] @ElementMetaData ntext, @ElementData ntext AS DECLARE @hdoc int --- snip --- EXEC sp_xml_preparedocument @hdoc OUTPUT, @ElementMetaData, '<xml xmlns:s="uuid:BDC6E3F0-6DA3-11d1-A2A3-00AA00C14882" xmlns:dt="uuid:C2F41010-65B3-11d1-A29F-00AA00C14882" xmlns:rs="urn:schemas-microsoft-com:rowset" xmlns:z="#RowsetSchema" />' INSERT #ElementMetadata (ElementID, ElementTypeID, ElementID1, ElementID2) SELECT * FROM OPENXML(@hdoc, '/xml/rs:data/rs:insert/z:row', 0) WITH ( ElementID int, ElementTypeID int, ElementID1 int, ElementID2 int ) ORDER BY ElementID -- orders negative items (new elements) first so they begin counting at 1 for later ID calculation EXEC sp_xml_removedocument @hdoc --- snip --- UPDATE E SET E.ElementTypeID = M.ElementTypeID FROM Element E INNER JOIN #ElementMetadata M ON E.ElementID = M.ElementID WHERE E.ElementID >= 1 AND M.ElementTypeID >= 1 The following query does the correlation of the negative new element ids to the newly inserted ones: UPDATE #ElementMetadata -- Correlate the new ElementIDs with the input rows SET NewElementID = Scope_Identity() - @@RowCount + DataID WHERE ElementID < 0 Other set-based queries do all the other work of validating that the attributes are allowed, are the correct data type, and inserting, updating, and deleting elements and attributes. I hope this brief run-down is useful to others some day! Converting ADO Recordsets to an XML stream was a huge winner for me as it saved all sorts of time and had a namespace and schema already defined that made the results come out correctly. Using a flatter XML format with 2 inputs was also much easier than sticking to some ideal about having everything in a single XML stream.

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