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  • Writing an audio player in C#

    - by Malki
    Hi, I have a pretty cool idea for a very special media player. I like to think about this project as a mini-startup, since I don't yet know if my idea is practical. Anyways, before implementing my idea, I first need to be able to implement a simple audio player. My preferred language for this project is C#, simply because it's so easy to use, but any other object oriented language would be fine too I guess. I started out with no knowledge whatsoever about audio. My main goals right now are: Being able to play audio files - as many formats as possible (sort of a VLC type player, but only audio for now). Being able to analyze audio files - as in, reading frequency, amplitude, volume, and other information about the audio. I think maybe a good idea here is to be able to analyze one file format (PCM?), and then temporarily converting any file I want to analyze to that format. This is in order to later implement a mechanism that compares songs and identifies similar songs to recommend to the user (this feature isn't part of my idea, but I figured since it exists in many players nowadays, I need to have it too if I want be able to compete with them). BTW - I currently don't have any knowledge about audio/wavelengths/frequencies and such, so I'd appreciate it if someone could point me in the right direction about this analyzation feature. Maybe in the future I'd expand to playing video files as well, but for now I'm concentrating on audio. After searching the Internet for a while, I've come across LAME. Problem is, it's not C#, and I'm not sure how to use it. I know there is something called "Interoperability", that is supposed to let me work with native DLL files through C#. Any information about that would be helpful as well. Any help would be much appreciated. Thanks, Malki :)

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  • ObjectiveC - Releasing objects added as parameters

    - by NobleK
    Ok, here goes. Being a Java developer I'm still struggling with the memory management in ObjectiveC. I have all the basics covered, but once in a while I encounter a challenge. What I want to do is something which in Java would look like this: MyObject myObject = new MyObject(new MyParameterObject()); The constructor of MyObject class takes a parameter of type MyParameterObject which I initiate on-the-fly. In ObjectiveC I tried to do this using following code: MyObject *myObject = [[MyObject alloc] init:[[MyParameterObject alloc] init]]; However, running the Build and Analyze tool this gives me a "Potential leak of an object" warning for the MyParameter object which indeed occurs when I test it using Instruments. I do understand why this happens since I am taking ownership of the object with the alloc method and not relinquishing it, I just don't know the correct way of doing it. I tried using MyObject *myObject = [[MyObject alloc] init:[[[MyParameterObject alloc] init] autorelease]]; but then the Analyze tool told me that "Object sent -autorelease too many times". I could solve the issue by modifying the init method of MyParameterObject to say return [self autorelease]; in stead of just return self;. Analyze still warnes about a potential leak, but it doesn't actually occur. However I believe that this approach violates the convention for managing memory in ObjectiveC and I really want to do it the right way. Thanx in advance.

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  • Avoiding seasonality assumption for stl() or decompose() in R

    - by user303922
    Hello everybody, I have high frequency commodity price data that I need to analyze. My objective is to not assume any seasonal component and just identify a trend. Here is where I run into problems with R. There are two main functions that I know of to analyze this time series: decompose() and stl(). The problem is that they both take a ts object type with a frequency parameter greater than or equal to 2. Is there some way I can assume a frequency of 1 per unit time and still analyze this time series using R? I'm afraid that if I assume frequency greater than 1 per unit time, and seasonality is calculated using the frequency parameter, then my forecasts are going to depend on that assumption. names(crude.data)=c('Date','Time','Price') names(crude.data) freq = 2 win.graph() plot(crude.data$Time,crude.data$Price, type="l") crude.data$Price = ts(crude.data$Price,frequency=freq) I want frequency to be 1 per unit time but then decompose() and stl() don't work! dim(crude.data$Price) decom = decompose(crude.data$Price) win.graph() plot(decom$random[2:200],type="line") acf(decom$random[freq:length(decom$random-freq)]) Thank you.

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  • Need help implementing this algorithm with map reduce(hadoop)

    - by Julia
    Hi all! i have algorithm that will go through a large data set read some text files and search for specific terms in those lines. I have it implemented in Java, but I didnt want to post code so that it doesnt look i am searching for someone to implement it for me, but it is true i really need a lot of help!!! This was not planned for my project, but data set turned out to be huge, so teacher told me I have to do it like this. I was reading about MapReduce and thaught that i first do the standard implementation and then it will be more/less easier to do it with mapreduce. But didnt happen, since algorithm is quite stupid and nothing special, and map reduce...i cant wrap my mind around it. So here is shortly pseudo code of my algorithm LIST termList (there is method that creates this list from lucene index) FOLDER topFolder INPUT topFolder IF it is folder and not empty list files (there are 30 sub folders inside) FOR EACH sub folder GET file "CheckedFile.txt" analyze(CheckedFile) ENDFOR END IF Method ANALYZE(CheckedFile) read CheckedFile WHILE CheckedFile has next line GET line FOR(loops through termList) GET third word from line IF third word = term from list append whole line to string buffer ENDIF ENDFOR END WHILE OUTPUT string buffer to file Also, as you can see, each time when "analyze" is called, new file has to be created, i understood that map reduce is difficult to write to many outputs??? I understand mapreduce intuition, and my example seems perfectly suited for mapreduce, but when it comes to do this, obviously I do not know enough and i am STUCK! Please please help.

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  • How to find and fix performance problems in ORM powered applications

    - by FransBouma
    Once in a while we get requests about how to fix performance problems with our framework. As it comes down to following the same steps and looking into the same things every single time, I decided to write a blogpost about it instead, so more people can learn from this and solve performance problems in their O/R mapper powered applications. In some parts it's focused on LLBLGen Pro but it's also usable for other O/R mapping frameworks, as the vast majority of performance problems in O/R mapper powered applications are not specific for a certain O/R mapper framework. Too often, the developer looks at the wrong part of the application, trying to fix what isn't a problem in that part, and getting frustrated that 'things are so slow with <insert your favorite framework X here>'. I'm in the O/R mapper business for a long time now (almost 10 years, full time) and as it's a small world, we O/R mapper developers know almost all tricks to pull off by now: we all know what to do to make task ABC faster and what compromises (because there are almost always compromises) to deal with if we decide to make ABC faster that way. Some O/R mapper frameworks are faster in X, others in Y, but you can be sure the difference is mainly a result of a compromise some developers are willing to deal with and others aren't. That's why the O/R mapper frameworks on the market today are different in many ways, even though they all fetch and save entities from and to a database. I'm not suggesting there's no room for improvement in today's O/R mapper frameworks, there always is, but it's not a matter of 'the slowness of the application is caused by the O/R mapper' anymore. Perhaps query generation can be optimized a bit here, row materialization can be optimized a bit there, but it's mainly coming down to milliseconds. Still worth it if you're a framework developer, but it's not much compared to the time spend inside databases and in user code: if a complete fetch takes 40ms or 50ms (from call to entity object collection), it won't make a difference for your application as that 10ms difference won't be noticed. That's why it's very important to find the real locations of the problems so developers can fix them properly and don't get frustrated because their quest to get a fast, performing application failed. Performance tuning basics and rules Finding and fixing performance problems in any application is a strict procedure with four prescribed steps: isolate, analyze, interpret and fix, in that order. It's key that you don't skip a step nor make assumptions: these steps help you find the reason of a problem which seems to be there, and how to fix it or leave it as-is. Skipping a step, or when you assume things will be bad/slow without doing analysis will lead to the path of premature optimization and won't actually solve your problems, only create new ones. The most important rule of finding and fixing performance problems in software is that you have to understand what 'performance problem' actually means. Most developers will say "when a piece of software / code is slow, you have a performance problem". But is that actually the case? If I write a Linq query which will aggregate, group and sort 5 million rows from several tables to produce a resultset of 10 rows, it might take more than a couple of milliseconds before that resultset is ready to be consumed by other logic. If I solely look at the Linq query, the code consuming the resultset of the 10 rows and then look at the time it takes to complete the whole procedure, it will appear to me to be slow: all that time taken to produce and consume 10 rows? But if you look closer, if you analyze and interpret the situation, you'll see it does a tremendous amount of work, and in that light it might even be extremely fast. With every performance problem you encounter, always do realize that what you're trying to solve is perhaps not a technical problem at all, but a perception problem. The second most important rule you have to understand is based on the old saying "Penny wise, Pound Foolish": the part which takes e.g. 5% of the total time T for a given task isn't worth optimizing if you have another part which takes a much larger part of the total time T for that same given task. Optimizing parts which are relatively insignificant for the total time taken is not going to bring you better results overall, even if you totally optimize that part away. This is the core reason why analysis of the complete set of application parts which participate in a given task is key to being successful in solving performance problems: No analysis -> no problem -> no solution. One warning up front: hunting for performance will always include making compromises. Fast software can be made maintainable, but if you want to squeeze as much performance out of your software, you will inevitably be faced with the dilemma of compromising one or more from the group {readability, maintainability, features} for the extra performance you think you'll gain. It's then up to you to decide whether it's worth it. In almost all cases it's not. The reason for this is simple: the vast majority of performance problems can be solved by implementing the proper algorithms, the ones with proven Big O-characteristics so you know the performance you'll get plus you know the algorithm will work. The time taken by the algorithm implementing code is inevitable: you already implemented the best algorithm. You might find some optimizations on the technical level but in general these are minor. Let's look at the four steps to see how they guide us through the quest to find and fix performance problems. Isolate The first thing you need to do is to isolate the areas in your application which are assumed to be slow. For example, if your application is a web application and a given page is taking several seconds or even minutes to load, it's a good candidate to check out. It's important to start with the isolate step because it allows you to focus on a single code path per area with a clear begin and end and ignore the rest. The rest of the steps are taken per identified problematic area. Keep in mind that isolation focuses on tasks in an application, not code snippets. A task is something that's started in your application by either another task or the user, or another program, and has a beginning and an end. You can see a task as a piece of functionality offered by your application.  Analyze Once you've determined the problem areas, you have to perform analysis on the code paths of each area, to see where the performance problems occur and which areas are not the problem. This is a multi-layered effort: an application which uses an O/R mapper typically consists of multiple parts: there's likely some kind of interface (web, webservice, windows etc.), a part which controls the interface and business logic, the O/R mapper part and the RDBMS, all connected with either a network or inter-process connections provided by the OS or other means. Each of these parts, including the connectivity plumbing, eat up a part of the total time it takes to complete a task, e.g. load a webpage with all orders of a given customer X. To understand which parts participate in the task / area we're investigating and how much they contribute to the total time taken to complete the task, analysis of each participating task is essential. Start with the code you wrote which starts the task, analyze the code and track the path it follows through your application. What does the code do along the way, verify whether it's correct or not. Analyze whether you have implemented the right algorithms in your code for this particular area. Remember we're looking at one area at a time, which means we're ignoring all other code paths, just the code path of the current problematic area, from begin to end and back. Don't dig in and start optimizing at the code level just yet. We're just analyzing. If your analysis reveals big architectural stupidity, it's perhaps a good idea to rethink the architecture at this point. For the rest, we're analyzing which means we collect data about what could be wrong, for each participating part of the complete application. Reviewing the code you wrote is a good tool to get deeper understanding of what is going on for a given task but ultimately it lacks precision and overview what really happens: humans aren't good code interpreters, computers are. We therefore need to utilize tools to get deeper understanding about which parts contribute how much time to the total task, triggered by which other parts and for example how many times are they called. There are two different kind of tools which are necessary: .NET profilers and O/R mapper / RDBMS profilers. .NET profiling .NET profilers (e.g. dotTrace by JetBrains or Ants by Red Gate software) show exactly which pieces of code are called, how many times they're called, and the time it took to run that piece of code, at the method level and sometimes even at the line level. The .NET profilers are essential tools for understanding whether the time taken to complete a given task / area in your application is consumed by .NET code, where exactly in your code, the path to that code, how many times that code was called by other code and thus reveals where hotspots are located: the areas where a solution can be found. Importantly, they also reveal which areas can be left alone: remember our penny wise pound foolish saying: if a profiler reveals that a group of methods are fast, or don't contribute much to the total time taken for a given task, ignore them. Even if the code in them is perhaps complex and looks like a candidate for optimization: you can work all day on that, it won't matter.  As we're focusing on a single area of the application, it's best to start profiling right before you actually activate the task/area. Most .NET profilers support this by starting the application without starting the profiling procedure just yet. You navigate to the particular part which is slow, start profiling in the profiler, in your application you perform the actions which are considered slow, and afterwards you get a snapshot in the profiler. The snapshot contains the data collected by the profiler during the slow action, so most data is produced by code in the area to investigate. This is important, because it allows you to stay focused on a single area. O/R mapper and RDBMS profiling .NET profilers give you a good insight in the .NET side of things, but not in the RDBMS side of the application. As this article is about O/R mapper powered applications, we're also looking at databases, and the software making it possible to consume the database in your application: the O/R mapper. To understand which parts of the O/R mapper and database participate how much to the total time taken for task T, we need different tools. There are two kind of tools focusing on O/R mappers and database performance profiling: O/R mapper profilers and RDBMS profilers. For O/R mapper profilers, you can look at LLBLGen Prof by hibernating rhinos or the Linq to Sql/LLBLGen Pro profiler by Huagati. Hibernating rhinos also have profilers for other O/R mappers like NHibernate (NHProf) and Entity Framework (EFProf) and work the same as LLBLGen Prof. For RDBMS profilers, you have to look whether the RDBMS vendor has a profiler. For example for SQL Server, the profiler is shipped with SQL Server, for Oracle it's build into the RDBMS, however there are also 3rd party tools. Which tool you're using isn't really important, what's important is that you get insight in which queries are executed during the task / area we're currently focused on and how long they took. Here, the O/R mapper profilers have an advantage as they collect the time it took to execute the query from the application's perspective so they also collect the time it took to transport data across the network. This is important because a query which returns a massive resultset or a resultset with large blob/clob/ntext/image fields takes more time to get transported across the network than a small resultset and a database profiler doesn't take this into account most of the time. Another tool to use in this case, which is more low level and not all O/R mappers support it (though LLBLGen Pro and NHibernate as well do) is tracing: most O/R mappers offer some form of tracing or logging system which you can use to collect the SQL generated and executed and often also other activity behind the scenes. While tracing can produce a tremendous amount of data in some cases, it also gives insight in what's going on. Interpret After we've completed the analysis step it's time to look at the data we've collected. We've done code reviews to see whether we've done anything stupid and which parts actually take place and if the proper algorithms have been implemented. We've done .NET profiling to see which parts are choke points and how much time they contribute to the total time taken to complete the task we're investigating. We've performed O/R mapper profiling and RDBMS profiling to see which queries were executed during the task, how many queries were generated and executed and how long they took to complete, including network transportation. All this data reveals two things: which parts are big contributors to the total time taken and which parts are irrelevant. Both aspects are very important. The parts which are irrelevant (i.e. don't contribute significantly to the total time taken) can be ignored from now on, we won't look at them. The parts which contribute a lot to the total time taken are important to look at. We now have to first look at the .NET profiler results, to see whether the time taken is consumed in our own code, in .NET framework code, in the O/R mapper itself or somewhere else. For example if most of the time is consumed by DbCommand.ExecuteReader, the time it took to complete the task is depending on the time the data is fetched from the database. If there was just 1 query executed, according to tracing or O/R mapper profilers / RDBMS profilers, check whether that query is optimal, uses indexes or has to deal with a lot of data. Interpret means that you follow the path from begin to end through the data collected and determine where, along the path, the most time is contributed. It also means that you have to check whether this was expected or is totally unexpected. My previous example of the 10 row resultset of a query which groups millions of rows will likely reveal that a long time is spend inside the database and almost no time is spend in the .NET code, meaning the RDBMS part contributes the most to the total time taken, the rest is compared to that time, irrelevant. Considering the vastness of the source data set, it's expected this will take some time. However, does it need tweaking? Perhaps all possible tweaks are already in place. In the interpret step you then have to decide that further action in this area is necessary or not, based on what the analysis results show: if the analysis results were unexpected and in the area where the most time is contributed to the total time taken is room for improvement, action should be taken. If not, you can only accept the situation and move on. In all cases, document your decision together with the analysis you've done. If you decide that the perceived performance problem is actually expected due to the nature of the task performed, it's essential that in the future when someone else looks at the application and starts asking questions you can answer them properly and new analysis is only necessary if situations changed. Fix After interpreting the analysis results you've concluded that some areas need adjustment. This is the fix step: you're actively correcting the performance problem with proper action targeted at the real cause. In many cases related to O/R mapper powered applications it means you'll use different features of the O/R mapper to achieve the same goal, or apply optimizations at the RDBMS level. It could also mean you apply caching inside your application (compromise memory consumption over performance) to avoid unnecessary re-querying data and re-consuming the results. After applying a change, it's key you re-do the analysis and interpretation steps: compare the results and expectations with what you had before, to see whether your actions had any effect or whether it moved the problem to a different part of the application. Don't fall into the trap to do partly analysis: do the full analysis again: .NET profiling and O/R mapper / RDBMS profiling. It might very well be that the changes you've made make one part faster but another part significantly slower, in such a way that the overall problem hasn't changed at all. Performance tuning is dealing with compromises and making choices: to use one feature over the other, to accept a higher memory footprint, to go away from the strict-OO path and execute queries directly onto the RDBMS, these are choices and compromises which will cross your path if you want to fix performance problems with respect to O/R mappers or data-access and databases in general. In most cases it's not a big issue: alternatives are often good choices too and the compromises aren't that hard to deal with. What is important is that you document why you made a choice, a compromise: which analysis data, which interpretation led you to the choice made. This is key for good maintainability in the years to come. Most common performance problems with O/R mappers Below is an incomplete list of common performance problems related to data-access / O/R mappers / RDBMS code. It will help you with fixing the hotspots you found in the interpretation step. SELECT N+1: (Lazy-loading specific). Lazy loading triggered performance bottlenecks. Consider a list of Orders bound to a grid. You have a Field mapped onto a related field in Order, Customer.CompanyName. Showing this column in the grid will make the grid fetch (indirectly) for each row the Customer row. This means you'll get for the single list not 1 query (for the orders) but 1+(the number of orders shown) queries. To solve this: use eager loading using a prefetch path to fetch the customers with the orders. SELECT N+1 is easy to spot with an O/R mapper profiler or RDBMS profiler: if you see a lot of identical queries executed at once, you have this problem. Prefetch paths using many path nodes or sorting, or limiting. Eager loading problem. Prefetch paths can help with performance, but as 1 query is fetched per node, it can be the number of data fetched in a child node is bigger than you think. Also consider that data in every node is merged on the client within the parent. This is fast, but it also can take some time if you fetch massive amounts of entities. If you keep fetches small, you can use tuning parameters like the ParameterizedPrefetchPathThreshold setting to get more optimal queries. Deep inheritance hierarchies of type Target Per Entity/Type. If you use inheritance of type Target per Entity / Type (each type in the inheritance hierarchy is mapped onto its own table/view), fetches will join subtype- and supertype tables in many cases, which can lead to a lot of performance problems if the hierarchy has many types. With this problem, keep inheritance to a minimum if possible, or switch to a hierarchy of type Target Per Hierarchy, which means all entities in the inheritance hierarchy are mapped onto the same table/view. Of course this has its own set of drawbacks, but it's a compromise you might want to take. Fetching massive amounts of data by fetching large lists of entities. LLBLGen Pro supports paging (and limiting the # of rows returned), which is often key to process through large sets of data. Use paging on the RDBMS if possible (so a query is executed which returns only the rows in the page requested). When using paging in a web application, be sure that you switch server-side paging on on the datasourcecontrol used. In this case, paging on the grid alone is not enough: this can lead to fetching a lot of data which is then loaded into the grid and paged there. Keep note that analyzing queries for paging could lead to the false assumption that paging doesn't occur, e.g. when the query contains a field of type ntext/image/clob/blob and DISTINCT can't be applied while it should have (e.g. due to a join): the datareader will do DISTINCT filtering on the client. this is a little slower but it does perform paging functionality on the data-reader so it won't fetch all rows even if the query suggests it does. Fetch massive amounts of data because blob/clob/ntext/image fields aren't excluded. LLBLGen Pro supports field exclusion for queries. You can exclude fields (also in prefetch paths) per query to avoid fetching all fields of an entity, e.g. when you don't need them for the logic consuming the resultset. Excluding fields can greatly reduce the amount of time spend on data-transport across the network. Use this optimization if you see that there's a big difference between query execution time on the RDBMS and the time reported by the .NET profiler for the ExecuteReader method call. Doing client-side aggregates/scalar calculations by consuming a lot of data. If possible, try to formulate a scalar query or group by query using the projection system or GetScalar functionality of LLBLGen Pro to do data consumption on the RDBMS server. It's far more efficient to process data on the RDBMS server than to first load it all in memory, then traverse the data in-memory to calculate a value. Using .ToList() constructs inside linq queries. It might be you use .ToList() somewhere in a Linq query which makes the query be run partially in-memory. Example: var q = from c in metaData.Customers.ToList() where c.Country=="Norway" select c; This will actually fetch all customers in-memory and do an in-memory filtering, as the linq query is defined on an IEnumerable<T>, and not on the IQueryable<T>. Linq is nice, but it can often be a bit unclear where some parts of a Linq query might run. Fetching all entities to delete into memory first. To delete a set of entities it's rather inefficient to first fetch them all into memory and then delete them one by one. It's more efficient to execute a DELETE FROM ... WHERE query on the database directly to delete the entities in one go. LLBLGen Pro supports this feature, and so do some other O/R mappers. It's not always possible to do this operation in the context of an O/R mapper however: if an O/R mapper relies on a cache, these kind of operations are likely not supported because they make it impossible to track whether an entity is actually removed from the DB and thus can be removed from the cache. Fetching all entities to update with an expression into memory first. Similar to the previous point: it is more efficient to update a set of entities directly with a single UPDATE query using an expression instead of fetching the entities into memory first and then updating the entities in a loop, and afterwards saving them. It might however be a compromise you don't want to take as it is working around the idea of having an object graph in memory which is manipulated and instead makes the code fully aware there's a RDBMS somewhere. Conclusion Performance tuning is almost always about compromises and making choices. It's also about knowing where to look and how the systems in play behave and should behave. The four steps I provided should help you stay focused on the real problem and lead you towards the solution. Knowing how to optimally use the systems participating in your own code (.NET framework, O/R mapper, RDBMS, network/services) is key for success as well as knowing what's going on inside the application you built. I hope you'll find this guide useful in tracking down performance problems and dealing with them in a useful way.  

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  • Reviewing firewall rules

    - by chmeee
    I need to review firewall rules of a CheckPoint firewall for a customer (with 200+ rules). I have used FWDoc in the past to extract the rules and convert them to other formats but there was some errors with exclusions. I then analyze them manually to produce an improved version of the rules (usually in OOo Calc) with comments. I know there are several visualization techniques but they all go down to analyzing the traffic and I want static analysis. So I was wondering, what process do you follow to analyze firewall rules? What tools do you use (not only for Checkpoint)?

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  • New SSIS tool on Codeplex – SSIS Log Analyzer

    I stumbled across a new SSIS tool on Codeplex today, the SSIS Log Analyzer which was only released a few days ago. Whilst it is a beta release and currently only supports 2005 (2008 is promised) it looks quite interesting. It seems to be a fancy log viewer, but with some clever features and a nice looking front-end. I’ve only read the documentation so far, but it has graphs and a debug view that shows your package with the colour animations similar to when debugging in BIDS, and everyone knows, the way the pretty colours and numbers change is the best bit! I’ll quote some of the features for you here and then let you make your own mind up, is it useful in the real world? Option to analyze the logs manually by applying row and column filters over the log data or by using queries to specify more complex criterions. Automated Performance Analysis which provides a quick graphical look on which tasks spent most time during package execution. Rerun (debug) the entire sequence of events which happened during package execution showing the flow of control in graphical form, changes in runtime values for each task like execution duration etc. Support for Auto Analyzers to automatically find out issues and provide suggestions for problems which can be figured out with the help of SSIS logs and/or package. Option to analyze just log file or log and package together. Provides a lightweight environment to have a quick look at the package. Opening it in BIDS takes some time as being an authoring environment it does all sorts of validations resulting in some delay. See http://ssisloganalyzer.codeplex.com/  for more details.

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  • New SSIS tool on Codeplex – SSIS Log Analyzer

    I stumbled across a new SSIS tool on Codeplex today, the SSIS Log Analyzer which was only released a few days ago. Whilst it is a beta release and currently only supports 2005 (2008 is promised) it looks quite interesting. It seems to be a fancy log viewer, but with some clever features and a nice looking front-end. I’ve only read the documentation so far, but it has graphs and a debug view that shows your package with the colour animations similar to when debugging in BIDS, and everyone knows, the way the pretty colours and numbers change is the best bit! I’ll quote some of the features for you here and then let you make your own mind up, is it useful in the real world? Option to analyze the logs manually by applying row and column filters over the log data or by using queries to specify more complex criterions. Automated Performance Analysis which provides a quick graphical look on which tasks spent most time during package execution. Rerun (debug) the entire sequence of events which happened during package execution showing the flow of control in graphical form, changes in runtime values for each task like execution duration etc. Support for Auto Analyzers to automatically find out issues and provide suggestions for problems which can be figured out with the help of SSIS logs and/or package. Option to analyze just log file or log and package together. Provides a lightweight environment to have a quick look at the package. Opening it in BIDS takes some time as being an authoring environment it does all sorts of validations resulting in some delay. See http://ssisloganalyzer.codeplex.com/  for more details.

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  • Visual Studio 2013 Static Code Analysis in depth: What? When and How?

    - by Hosam Kamel
    In this post I'll illustrate in details the following points What is static code analysis? When to use? Supported platforms Supported Visual Studio versions How to use Run Code Analysis Manually Run Code Analysis Automatically Run Code Analysis while check-in source code to TFS version control (TFSVC) Run Code Analysis as part of Team Build Understand the Code Analysis results & learn how to fix them Create your custom rule set Q & A References What is static Rule analysis? Static Code Analysis feature of Visual Studio performs static code analysis on code to help developers identify potential design, globalization, interoperability, performance, security, and a lot of other categories of potential problems according to Microsoft's rules that mainly targets best practices in writing code, and there is a large set of those rules included with Visual Studio grouped into different categorized targeting specific coding issues like security, design, Interoperability, globalizations and others. Static here means analyzing the source code without executing it and this type of analysis can be performed through automated tools (like Visual Studio 2013 Code Analysis Tool) or manually through Code Review which already supported in Visual Studio 2012 and 2013 (check Using Code Review to Improve Quality video on Channel9) There is also Dynamic analysis which performed on executing programs using software testing techniques such as Code Coverage for example. When to use? Running Code analysis tool at regular intervals during your development process can enhance the quality of your software, examines your code for a set of common defects and violations is always a good programming practice. Adding that Code analysis can also find defects in your code that are difficult to discover through testing allowing you to achieve first level quality gate for you application during development phase before you release it to the testing team. Supported platforms .NET Framework, native (C and C++) Database applications. Support Visual Studio versions All version of Visual Studio starting Visual Studio 2013 (except Visual Studio Test Professional) check Feature comparisons Create and modify a custom rule set required Visual Studio Premium or Ultimate. How to use? Code Analysis can be run manually at any time from within the Visual Studio IDE, or even setup to automatically run as part of a Team Build or check-in policy for Team Foundation Server. Run Code Analysis Manually To run code analysis manually on a project, on the Analyze menu, click Run Code Analysis on your project or simply right click on the project name on the Solution Explorer choose Run Code Analysis from the context menu Run Code Analysis Automatically To run code analysis each time that you build a project, you select Enable Code Analysis on Build on the project's Property Page Run Code Analysis while check-in source code to TFS version control (TFSVC) Team Foundation Version Control (TFVC) provides a way for organizations to enforce practices that lead to better code and more efficient group development through Check-in policies which are rules that are set at the team project level and enforced on developer computers before code is allowed to be checked in. (This is available only if you're using Team Foundation Server) Require permissions on Team Foundation Server: you must have the Edit project-level information permission set to Allow typically your account must be part of Project Administrators, Project Collection Administrators, for more information about Team Foundation permissions check http://msdn.microsoft.com/en-us/library/ms252587(v=vs.120).aspx In Team Explorer, right-click the team project name, point to Team Project Settings, and then click Source Control. In the Source Control dialog box, select the Check-in Policy tab. Click Add to create a new check-in policy. Double-click the existing Code Analysis item in the Policy Type list to change the policy. Check or Uncheck the policy option based on the configurations you need to perform as illustrated below: Enforce check-in to only contain files that are part of current solution: code analysis can run only on files specified in solution and project configuration files. This policy guarantees that all code that is part of a solution is analyzed. Enforce C/C++ Code Analysis (/analyze): Requires that all C or C++ projects be built with the /analyze compiler option to run code analysis before they can be checked in. Enforce Code Analysis for Managed Code: Requires that all managed projects run code analysis and build before they can be checked in. Check Code analysis rule set reference on MSDN What is Rule Set? Rule Set is a group of code analysis rules like the example below where Microsoft.Design is the rule set name where "Do not declare static members on generic types" is the code analysis rule Once you configured the Analysis rule the policy will be enabled for all the team member in this project whenever a team member check-in any source code to the TFSVC the policy section will highlight the Code Analysis policy as below TFS is a very extensible platform so you can simply implement your own custom Code Analysis Check-in policy, check this link for more details http://msdn.microsoft.com/en-us/library/dd492668.aspx but you have to be aware also about compatibility between different TFS versions check http://msdn.microsoft.com/en-us/library/bb907157.aspx Run Code Analysis as part of Team Build With Team Foundation Build (TFBuild), you can create and manage build processes that automatically compile and test your applications, and perform other important functions. Code Analysis can be enabled in the Build Definition file by selecting the correct value for the build process parameter "Perform Code Analysis" Once configure, Kick-off your build definition to queue a new build, Code Analysis will run as part of build workflow and you will be able to see code analysis warning as part of build report Understand the Code Analysis results & learn how to fix them Now after you went through Code Analysis configurations and the different ways of running it, we will go through the Code Analysis result how to understand them and how to resolve them. Code Analysis window in Visual Studio will show all the analysis results based on the rule sets you configured in the project file properties, let's dig deep into what each result item contains: 1 Check ID The unique identifier for the rule. CheckId and Category are used for in-source suppression of a warning.       2 Title The title of warning message       3 Description A description of the problem or suggested fix 4 File Name File name and the line of code number which violate the code analysis rule set 5 Category The code analysis category for this error 6 Warning /Error Depend on how you configure it in the rule set the default is Warning level 7 Action Copy: copy the warning information to the clipboard Create Work Item: If you're connected to Team Foundation Server you can create a work item most probably you may create a Task or Bug and assign it for a developer to fix certain code analysis warning Suppress Message: There are times when you might decide not to fix a code analysis warning. You might decide that resolving the warning requires too much recoding in relation to the probability that the issue will arise in any real-world implementation of your code. Or you might believe that the analysis that is used in the warning is inappropriate for the particular context. You can suppress individual warnings so that they no longer appear in the Code Analysis window. Two options available: In Source inserts a SuppressMessage attribute in the source file above the method that generated the warning. This makes the suppression more discoverable. In Suppression File adds a SuppressMessage attribute to the GlobalSuppressions.cs file of the project. This can make the management of suppressions easier. Note that the SuppressMessage attribute added to GlobalSuppression.cs also targets the method that generated the warning. It does not suppress the warning globally.       Visual Studio makes it very easy to fix Code analysis warning, all you have to do is clicking on the Check Id hyperlink if you are not aware how to fix the warring and you'll be directed to MSDN online or local copy based on the configuration you did while installing Visual Studio and you will find all the information about the warring including how to fix it. Create a Custom Code Analysis Rule Set The Microsoft standard rule sets provide groups of rules that are organized by function and depth. For example, the Microsoft Basic Design Guidelines Rules and the Microsoft Extended Design Guidelines Rules contain rules that focus on usability and maintainability issues, with added emphasis on naming rules in the Extended rule set, you can create and modify a custom rule set to meet specific project needs associated with code analysis. To create a custom rule set, you open one or more standard rule sets in the rule set editor. Create and modify a custom rule set required Visual Studio Premium or Ultimate. You can check How to: Create a Custom Rule Set on MSDN for more details http://msdn.microsoft.com/en-us/library/dd264974.aspx Q & A Visual Studio static code analysis vs. FxCop vs. StyleCpp http://www.excella.com/blog/stylecop-vs-fxcop-difference-between-code-analysis-tools/ Code Analysis for SharePoint Apps and SPDisposeCheck? This post lists some of the rule set you can run specifically for SharePoint applications and how to integrate SPDisposeCheck as well. Code Analysis for SQL Server Database Projects? This post illustrate how to run static code analysis on T-SQL through SSDT ReSharper 8 vs. Visual Studio 2013? This document lists some of the features that are provided by ReSharper 8 but are missing or not as fully implemented in Visual Studio 2013. References A Few Billion Lines of Code Later: Using Static Analysis to Find Bugs in the Real World http://cacm.acm.org/magazines/2010/2/69354-a-few-billion-lines-of-code-later/fulltext What is New in Code Analysis for Visual Studio 2013 http://blogs.msdn.com/b/visualstudioalm/archive/2013/07/03/what-is-new-in-code-analysis-for-visual-studio-2013.aspx Analyze the code quality of Windows Store apps using Visual Studio static code analysis http://msdn.microsoft.com/en-us/library/windows/apps/hh441471.aspx [Hands-on-lab] Using Code Analysis with Visual Studio 2012 to Improve Code Quality http://download.microsoft.com/download/A/9/2/A9253B14-5F23-4BC8-9C7E-F5199DB5F831/Using%20Code%20Analysis%20with%20Visual%20Studio%202012%20to%20Improve%20Code%20Quality.docx Originally posted at "Hosam Kamel| Developer & Platform Evangelist" http://blogs.msdn.com/hkamel

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  • Top tweets SOA Partner Community – October 2013

    - by JuergenKress
    Send your tweets @soacommunity #soacommunity and follow us at http://twitter.com/soacommunity Ronald Luttikhuizen ?My latest upload: SOA Made Simple | Introduction to SOA on @slideshare http://www.slideshare.net/rluttikhuizen/soa-made-simple-introduction-to-soa … via @SlideShare OTNArchBeat ?ArchBeat Link-o-Rama for October 4, 2013 #cloud #linux #oaam #soa http://pub.vitrue.com/y4SK Lucas Jellema ?My blog article shows news on the new SOA Suite 12c release - as it was publicly available during #oow13 see: http://technology.amis.nl/2013/09/27/oow13-soa-suite-12c/ … Yogesh Sontakke ?Introducing OER's new Express Workflows - Simplified Lifecycle Management. Blog post: http://bit.ly/16JKHCf @soacommunity #soagovernance SrinivasPadmanabhuni ?"@OTNArchBeat: SOA and User Interfaces - by @soacommunity @HajoNormann @gschmutz @t_winterberg et al #industrialsoa http://pub.vitrue.com/KmOp " SOA Community ?SOA and User-Interfaces http://servicetechmag.com/I76/0913-2 article published part of #industrialSOA at Service Technology Magazine #soacommunity Estafet Limited ?@Estafet win @UKOUG Middleware Partner of the Year 2013 Yogesh Sontakke ?RT @VikasAatOracle: #Oracle #B2B - written by experts #soa #soacommunity #oraclesoa - time to get a copy ! @SOAScott Danilo Schmiedel ?Thanks a lot to Juergen @soacommunity for the super interesting and well-organized Partner Advisory Council yesterday! Such a Great Value! OTNArchBeat ?Case management supporting re-landscaping application portfolios | @leonsmiers http://pub.vitrue.com/MC5j Samantha Searle ?Apply for the #GartnerBPM 2014 Excellence Awards - find out how via this link http://ow.ly/ptaNQ #Gartner #bpm #process #entarch #cio OTNArchBeat ?SOA and User Interfaces - by @soacommunity @hajonormann @gschmutz @t_winterberg et al #industrialsoa http://pub.vitrue.com/KmOp Dain Hansen ?Hybrid #cloud is on the rise, but is the IT department's culture standing in the way? http://add.vc/eJN #CloudIntegration #OracleSOA OTNArchBeat #SOASuite 11g ps6 - Download your log files directly from the Enterprise Manager | @whitehorsenl http://pub.vitrue.com/KrJ2 Whitehorses ?Whiteblog: SOA Suite 11g ps6 - Download your log files directly from the Enterprise Manager (http://goo.gl/2Gqiax ) Rajesh Raheja ?Cloud integration session recap #oow13 http://blog.raastech.com/2013/09/recap-of-real-world-cloud-integration.html?m=1 … Vikas Anand ?@Ahmed_Aboulnaga thanks for the excellent summary and kind words. #oow13 #cloud #oraclesoa http://blog.raastech.com/2013/09/recap-of-real-world-cloud-integration.html?m=1 … Luis Augusto Weir ?REST is also SOA. Check it out http://www.soa4u.co.uk/2013/09/restful-is-also-soa.html?m=1 … #soacommunity Graham ?“@OracleBPM & @soacommunity: 5 Ways to Modernize Applications with BPM #AppAdvantage" #oracleday http://bit.ly/15yC6e3 SOA Community ?#ACED director asked me for BPM references in FSI - ever visited my #SOACommunity workspace? https://beehiveonline.oracle.com/teamcollab/overview/SOA_Community_Workspace … #soacommunity #bpm OracleBlogs ?SOA Community Newsletter September 2013 http://ow.ly/2Aj6oK OTNArchBeat ?OOW13: First glimpses of the new #SOASuite12c | @LucasJellema http://pub.vitrue.com/2YgX sbernhardt ?Just published new blog entry on OOW 2013 wrap up. http://thecattlecrew.wordpress.com/2013/09/30/oracle-open-world-2013-wrap-up/ … #oow13 @OC_WIRE @soacommunity Emiel Paasschens ?Home with family after an overwhelming #OOW week in San Francisco with lot of info & meetings. Special thanx to @OracleBelux & @soacommunity Robert van Mölken ?Had a awesome week at #OOW13 in SF. Highlights were the @soacommunity Wine tour, @OracleBelux meet-ups and @OracleSOA CAB. Thanks to all :) SOA Community ?The place Oracle Fusion middleware comes from - Oracle 200 - TKs office - next Oracle 100 - SOA & BPM #soacommunity pic.twitter.com/qibFOQVbRo Oracle BPM ?5 Ways to Modernize Applications with BPM #AppAdvantage http://pub.vitrue.com/l2dn Simon Haslam ?Ha ha - how did we miss that! RT @lucasjellema: Post conference announcement of a new middleware appliance? #oow13 pic.twitter.com/3NvcjPfjXb OTNArchBeat ?The OTNArchBeat Daily is out! http://paper.li/OTNArchBeat/1329828521 … ? Top stories today via @lucasjellema @myfear @TylerJewell Packt Publishing ?Get 50% off ALL our DRM-free eBooks - this weekend only! Go to http://www.packtpub.com/ and use code BIG50, as often as you like! #BIG50 OracleBlogs ?Global Perspective: ACE Director from EMEA Weighs in on AppAdvantage http://ow.ly/2Afek2 orclateamsoa ?#orclateamsoa Blog: BPM Auditing Demystified - I've heard from a couple of customers recently asking about BPM aud... http://ow.ly/2AfbAn AMIS, Oracle & Java ?Cool #soasuite 12c feature managed file transfer - visit Dave Barry at demo point sr212 #oow #soacommunity pic.twitter.com/gb4HLbUarR SOA Community ?Let us know what was best at #OOW @soacommunity save trip home - thanks for coming to #SF ;-) see you at #OOW2014 pic.twitter.com/xbWXjRapqh Lonneke Dikmans ?Nice @dschmied is talking about the different steps in his project. He starts with explaining the user interface design #oow13 #ux #acm Lonneke Dikmans ?Saving the best for the end: managing knowledge worker processes by @dschmied and Prasen.#oow13 #acm cool stuff: adaptive case management Luis Augusto Weir ?SOA Governance is more than just OER. Requires people, processes and tools. Check it out #SOA #soacommunity http://youtu.be/Ohn06smVKVw Lonneke Dikmans ?“@OracleSOA: #oow Join us for:Enterprise SOA Infrastructure Best Practices Thu 9/26 2:00 PM - 3:00 PM Moscone West - 2020 SOA Community ?Business Process Management (BPM) 11g PS6 Awareness Course http://wp.me/p10C8u-1as Ajay Khanna ?Detect, Analyze, Act - Fast! http://wp.me/p10C8u-1ao via @soacommunity #OracleBPM Simone Geib ?It took a while, but I finally reached 500 followers. Thanks everybody and especially @soacommunity :) SOA Community ?Functional Testing Business Processes In Oracle BPM Suite 11g by Arun Pareek http://wp.me/p10C8u-1aq SOA Community Distribute the September edition of the SOA Community newsletter READ it! Didn't receive it register http://www.oracle.com/goto/emea/soa #soacommunity SOA Community ?Detect, Analyze, Act - Fast! by Ajay Khanna http://wp.me/p10C8u-1ao Robert van Mölken ?Finalised my #OOW presentation #CON8736 and live demo on wednesday 25th at 11:45am. Also giving a short version at the SOA CAB on thursday. Rajesh Raheja ?"The AppAdvantage of Oracle Cloud & On-premises Integration" http://bit.ly/14RYHmZ SOA Community ?Additional new content SOA & BPM Partner Community http://wp.me/p10C8u-1aw Dain Hansen ?Right now #oow13 SOA, BPM - Customer Advisory Boards. 'No tweeting' says @SOASimone. Instagram of funny cats still ok. leonsmiers ?Case Management with Oracle BPM Suite our presentation on #oow13 http://www.slideshare.net/leonsmiers/oracle-open-world-2013-case-management-smiers-kitson … #capgemini @nkitson72 Mark Simpson ?Flextronics reduced cost of processing an invoice to <$1 from $7 due to BPM @OracleBPM #oow13 saving millions. Way less than industry avg. Holger Mueller ?#Siemens Shared Services CIO says that #Fusion #Middleware made the difference for #Oracle over #Workday. #Integration matters. #OOW13 oracleopenworld ?Miss any #oow13 keynotes, or simply want to rewatch? Check out the live streaming site for keynotes on demand: http://pub.vitrue.com/RG4D SOA Community ?Analyze your m2m data and act on it! Big data Pattern matching, fast data & soa #soacommunity #oow pic.twitter.com/48Q1z4ckh7 SOA Community ?Top tweets SOA Partner Community – September 2013 http://wp.me/p10C8u-1cR Simone Geib ?#oraclesoa hands on lab at #oow13 pic.twitter.com/IJJrqXIMiu Danilo Schmiedel #oow13 CON8436: Managing Knowledge Worker Processes. Come & get a free Adaptive Case Management poster @soacommunity pic.twitter.com/FRc2CSyLwb John Sim ?Great job again Jurgen @soacommunity helping bring Ace Community together! Danilo Schmiedel ?Excellent #OracleBPM Adaptive Case Management intro by @heidibuelowBPM and Prasen at the #oow13 demo ground.Last chance today @soacommunity SOA Community ?Thanks to all our #bpm #soa and #weblogic partners for the great middleware business #oow #soacommunity pic.twitter.com/dBwZ8DMHfH Whitehorses ?Thanks @soacommunity for the party tonight. Great to meet product management & see all the talented EMEA middleware specialists. #oow13 Danilo Schmiedel ?Great tool demo from Link Consulting about managing your SOA with OER #oow13 @soacommunity Torsten Winterberg ?“@soacommunity: thanks to @dschmied and @OC_WIRE for making it happen to have our case management poster as printed version hier at #oow13 Ronald Luttikhuizen ?These were the architects involved in the diagram excitement :) just after State of SOA podcast with @OTNArchBeat pic.twitter.com/5B8jIrVTA9 SOA Community ?Tanks to AVIO for the excellent #bpmn poster and the great bpm business - visit then at #OOW & get the poster pic.twitter.com/ebTg9pFY1C Dain Hansen ?Kurian introducing Oracle Platform-as-a-Service developments. #oow13 #OracleCloud pic.twitter.com/evJLTU53rx Bruce Tierney ?API Management "multi-level pie chart" at #oow13 by Oracle's Tim Hall pic.twitter.com/q12OIRdaue Dain Hansen ?This is not your Daddy's BAM @soacommunity: Is this BAM? Very cool in #soasuite 12c get a demo at sr225 pic.twitter.com/EvwqXW9U5j SOA Community ?Is this BAM? Very cool in #soasuite 12c get a demo at sr225 pic.twitter.com/LybHxyF362 SOA Community ?SOA governance by @Yogesh_Sontakke at demo point sr214 many good new features - key for soa projects #oow #soa pic.twitter.com/DFK0ummsK1 SOA Community ?Cool #soasuite 12c feature managed file transfer - visit Dave Barry at demo point sr212 #oow #soacommunity pic.twitter.com/GDKcqDGhCF SOA Community ?Adaptive Case Management demo point at #OOW visit @heidibuelowBPM get a demo and cmmn notation poster #soacommunity pic.twitter.com/T7yEyI7tdn Lonneke Dikmans ?In case you missed it: http://blog.vennster.nl/2013/09/case-management-part-1.html?spref=tw … Lucas Jellema ?SOA Suite news: Cloud Adapters RightNow and SalesForce plus SDK to develop custom cloud adapters (CY13); REST/JSON support in SB/SCA (12c) Oracle SOA ?Cloud Integration and AppAdvantage: Transform your Enterprise #soa #oow13 http://pub.vitrue.com/UfPB Dain Hansen ?Cloud Integration and AppAdvantage: Transform your Enterprise #soa #oow13 http://pub.vitrue.com/4QWA Hajo Normann ?#BigData, eventing & real time #analytics suggest timely next actions in #oracleBPM & #oracleACM; #oow13 #FastData pic.twitter.com/aFVGrTXPqu Mark Simpson ?OEP CQL engine now used in BAM12c for event stream summary computation with temporal and pattern match features to feed dashboards. #oow13 Mark Simpson ?BAM12c virtually a new product. Analytics that senses ahead of time and also compares to historical trends to guide process or case #oow13 Andrejus Baranovskis ?Enabling UI Shell 12c/11g Multitasking Behavior http://fb.me/18l9vxQfA Amit Zavery ?Oracle Fusion Middleware Empowers Business Users, EVP Thomas Kurian's session summary http://onforb.es/18Ta1jf #oow13 #oraclemiddle #oracle Vikas Anand ?#oow13 #oracleopenworld BPM on display at Middleware keynote by Thomas Kurian pic.twitter.com/PMm719S0Ui SOA Community ?BPM composer - business user empowerment #oow #soacommunity #bpmsuite pic.twitter.com/0Qgl6oVh0h SOA Community ?Model your process in BPMN - make is executable and analyze & improve them #oow #soacommunity pic.twitter.com/jkLlObDdoi Bruce Tierney ?@demed and Thomas Kurian talk mobile and cloud at #oow13 pic.twitter.com/bAAeqn5a2V Amit Zavery ?Thomas Kurian showcasing all the new features of Oracle Fusion Middleware #oraclemiddle #oow13 SOA Community ?Demo time cloud adapters in #soasuite at Thomas Kurian keynote. Build and integrate mobile apps in minutes #oow pic.twitter.com/qTnCOJLLwS SOA Community ?Soa suite cloud adapters and mobile apps by @demed at Thomas Kurian keynote #oow #oracle #soacommunity pic.twitter.com/5aMLkNH4Ng Danilo Schmiedel ?First impressions from Oracle Open World 2013 http://wp.me/p2fG8x-77 @soacommunity @OC_WIRE SOA Community ?Good morning SFO let us know if you attend #OOW & #OPN keynote - #soacommunity pic.twitter.com/hzLYGDlRgE Simon Haslam ?Had a very useful @wlscommunity PAC meeting yesterday... & probably the best swag to date! pic.twitter.com/Lqus8ysbp7 Vikas Anand ?Oracle SOA Suite - Team Blog http://bit.ly/18I1Zj7 Rajesh Raheja ?Introducing new Cloud Connectivity Adapters #soa #demopod #oow13. I'll be there Sep 23 & 24 3-6pm to meetup http://bit.ly/18I1Zj7 leonsmiers ?..and again a very successful Oracle SOA/BPM partner council on the eve of #oow13. Thanks Jurgen! @soacommunity pic.twitter.com/aM1LMlb7Yw Vikas Anand ?#oow13 #soa #oep #exalogic Canon Delivers Fast Data with Oracle Event Processing (Oracle SOA Suite) http://bit.ly/1dwPeHb #soacommunity Rolf Scheuch ?The ACM poster is a big success. Great talks and .... I am soon out of posters! #bpmcon #ACM pic.twitter.com/TriaUyXRWK Oracle SOA ?British Telecom Sucess with Oracle B2B #oow #soa #b2b http://pub.vitrue.com/1RWi leonsmiers ?(Oracle) Case Management supporting re-platforming, a pre-read before our presentation at #oow13 http://leonsmiers.blogspot.com/2013/09/case-management-supporting-re.html … #capgemini #yammer SOA & BPM Partner CommunityFor regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Facebook Wiki Mix Forum Technorati Tags: Twitter,SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • SYS2 Scripts Updated – Scripts to monitor database backup, database space usage and memory grants now available

    - by Davide Mauri
    I’ve just released three new scripts of my “sys2” script collection that can be found on CodePlex: Project Page: http://sys2dmvs.codeplex.com/ Source Code Download: http://sys2dmvs.codeplex.com/SourceControl/changeset/view/57732 The three new scripts are the following sys2.database_backup_info.sql sys2.query_memory_grants.sql sys2.stp_get_databases_space_used_info.sql Here’s some more details: database_backup_info This script has been made to quickly check if and when backup was done. It will report the last full, differential and log backup date and time for each database. Along with these information you’ll also get some additional metadata that shows if a database is a read-only database and its recovery model: By default it will check only the last seven days, but you can change this value just specifying how many days back you want to check. To analyze the last seven days, and list only the database with FULL recovery model without a log backup select * from sys2.databases_backup_info(default) where recovery_model = 3 and log_backup = 0 To analyze the last fifteen days, and list only the database with FULL recovery model with a differential backup select * from sys2.databases_backup_info(15) where recovery_model = 3 and diff_backup = 1 I just love this script, I use it every time I need to check that backups are not too old and that t-log backup are correctly scheduled. query_memory_grants This is just a wrapper around sys.dm_exec_query_memory_grants that enriches the default result set with the text of the query for which memory has been granted or is waiting for a memory grant and, optionally, its execution plan stp_get_databases_space_used_info This is a stored procedure that list all the available databases and for each one the overall size, the used space within that size, the maximum size it may reach and the auto grow options. This is another script I use every day in order to be able to monitor, track and forecast database space usage. As usual feedbacks and suggestions are more than welcome!

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  • SQL SERVER – Four Tutorial for SQL Server 2012 New Features

    - by pinaldave
    One of the very common question I receive on my facebook is that if there is any tutorial for SQL Server 2012 new enhanced features and solutions. I see this demand a bit increasing as the SQL Server 2012 is more and more being adopted. Here is the list of four tutorial which is specifically created for SQL Server 2012 by Microsoft. Multidimensional Modeling (Adventure Works Tutorial) This tutorial teaches you how to develop and deploy an Analysis Services project that enables the employees of Adventure Works Cycles to analyze various aspects of their business. Tabular Modeling (Adventure Works Tutorial) This tutorial teaches you how to create a SQL Server 2012 Analysis Services tabular model that enable sales and marketing teams to easily analyze internet sales data in the AdventureWorksDW2012 data warehouse. You will build the tabular model in SQL Server Data Tools. Tutorials and Demos for Power View Create Power View reports and explore Power View features. View demos, videos, and tutorials that help you get started quickly with Power View and successfully build reports with interactive filters and visualizations such as bubble charts, tiles, and cards. Tutorial: Using the hierarchyid Data Type This tutorial is intended for users who are experienced with Transact-SQL, but are new to the hierarchyid data type. In this tutorial, you convert an existing table to a hierarchical structure, and you also create a new table to store and manage hierarchical data efficiently. Note: The description of the course is taken from original course description. You will need to install SQL Server 2012 AdventureWorks for all this tutorial. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Training, T SQL, Technology

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  • Using Oracle Receivables Diagnostics: How To Run, Read & Use To Troubleshoot

    - by Robert Story
    Upcoming WebcastTitle: Using Oracle Receivables Diagnostics: How To Run, Read & Use To TroubleshootDate: March 31, 2010 Time: 10:00 am EDT Product Family: Receivables Community Summary This one-hour session is recommended for functional users who want to take a more active role in the generation of Diagnostics in Oracle Receivables. This session will provide an overview of how diagnostics are structured and give some tips on how to read/analyze the output as well as some simple troubleshooting tips. Topics will include: Review of Diagnostic Catalogs in Release 11i, 12.0.x and 12.1.1How to run some of the more popular Receivables DiagnosticsHow to read and analyze diagnostic data Examine the log viewer A short, live demonstration (only if applicable) and question and answer period will be included. Click here to register for this session....... ....... ....... ....... ....... ....... .......The above webcast is a service of the E-Business Suite Communities in My Oracle Support.For more information on other webcasts, please reference the Oracle Advisor Webcast Schedule.Click here to visit the E-Business Communities in My Oracle Support Note that all links require access to My Oracle Support.

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  • Case Study: Polystar Improves Telecom Networks Performance with Embedded MySQL

    - by Bertrand Matthelié
    Polystar delivers and supports systems that increase the quality, revenue and customer satisfaction of telecommunication services. Headquarted in Sweden, Polystar helps operators worldwide including Telia, Tele2, Telekom Malysia and T-Mobile to monitor their network performance and improve service levels. Challenges Deliver complete turnkey solutions to customers integrating a database ensuring high performance at scale, while being very easy to use, manage and optimize. Enable the implementation of distributed architectures including one database per server while maintaining a low Total Cost of Ownership (TCO). Avoid growing database complexity as the volume of mobile data to monitor and analyze drastically increases. Solution Evaluation of several databases and selection of MySQL based on its high performance, manageability, and low TCO. The MySQL databases implemented within the Polystar solutions handle on average 3,000 to 5,000 transactions per second. Up to 50 million records are inserted every day in each database. Typical installations include between 50 and 100 MySQL databases, up to 300 for the largest ones. Data is then periodically aggregated, with the original records being overwritten, as the need for detailed information becomes unnecessary to operators after a few weeks. The exponential growth in mobile data traffic driven by the proliferation of smartphones and usage of social media requires ever more powerful solutions to monitor, analyze and turn network data into actionable business intelligence. With MySQL, Polystar can deliver powerful, yet easy to manage, solutions to its customers. MySQL-based Polystar solutions enable operators to monitor, manage and improve the service levels of their telecom networks in over a dozen countries from a single location. The new and innovative MySQL features constantly delivered by Oracle help ensure Polystar that it will be able to meet its customer’s needs as they evolve. “MySQL has been a great embedded database choice for us. It delivers the high performance we need while remaining very easy to use, manage and tune. Power and simplicity at its best.” Mats Söderlindh, COO at Polystar.

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  • Visual Studio 2010 Modeling and Architecture Tools

    - by MikeParks
    Jennifer Marsman (Microsoft Evangelist) and Cameron Skinner (Microsoft Visual Studio Product Unit Manager) recently stopped by our office while they were passing through Louisville on their tour to give us a presentation on the new Visual Studio 2010 Modeling and Architecture Tools. I checked out these new features when Visual Studio 2010 Beta versions originally rolled out and have been really impressed with this stuff ever since then. So it was pretty cool to actually learn some new techniques from Cameron himself since he helped write the actual code behind some of those features. If you've upgraded to Visual Studio 2010 recently I would highly recommend using the Architecture tools. They're awesome. If you want to make improvements to it, they even have their own SDK for it. There are plenty of blogs out there to show you how to use it. I've been waiting to find a tool that works like this where I can really analyze the code in solutions and projects and see how everything ties together. It's really handy if you're asked to work on a new project and aren't familiar with how it works. Just run the tools, analyze the DLL's, learn how everything works, and then you'll be ready to implement new code! It's a great tool to learn new systems quick and easy and it's all housed within the Visual Studio IDE. I just wanted to write a blog to brag about it a little bit, so I figured I'd throw this up here. It's a must have tool for Developers/Architects. Here's some screenshots of when I was using it earlier:   Thanks everyone! - Mike

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  • Master Data Management – A Foundation for Big Data Analysis

    - by Manouj Tahiliani
    While Master Data Management has crossed the proverbial chasm and is on its way to becoming mainstream, businesses are being hammered by a new megatrend called Big Data. Big Data is characterized by massive volumes, its high frequency, the variety of less structured data sources such as email, sensors, smart meters, social networks, and Weblogs, and the need to analyze vast amounts of data to determine value to improve upon management decisions. Businesses that have embraced MDM to get a single, enriched and unified view of Master data by resolving semantic discrepancies and augmenting the explicit master data information from within the enterprise with implicit data from outside the enterprise like social profiles will have a leg up in embracing Big Data solutions. This is especially true for large and medium-sized businesses in industries like Retail, Communications, Financial Services, etc that would find it very challenging to get comprehensive analytical coverage and derive long-term success without resolving the limitations of the heterogeneous topology that leads to disparate, fragmented and incomplete master data. For analytical success from Big Data or in other words ROI from Big Data Investments, businesses need to acquire, organize and analyze the deluge of data to make better decisions. There will need to be a coexistence of structured and unstructured data and to maintain a tight link between the two to extract maximum insights. MDM is the catalyst that helps maintain that tight linkage by providing an understanding about the identity, characteristics of Persons, Companies, Products, Suppliers, etc. associated with the Big Data and thereby help accelerate ROI. In my next post I will discuss about patterns for co-existing Big Data Solutions and MDM. Feel free to provide comments and thoughts on above as well as Integration or Architectural patterns.

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  • luntbuild + maven + findbugs = OutOfMemoryException

    - by Johannes
    Hi, I've been trying to get Luntbuild to generate and publish a project site for our project including a Findbugs report. All other reports (Cobertura, Surefire, JavaDoc, Dashboard) work fine, but Findbugs bails out with an OutOfMemoryException. Excluding findbugs from report generation fixes the build --- although obviously without a Findbugs report. The funny thing is that I first encountered this problem locally and solved it by setting MAVEN_OPTS=-Xmx512m. This does not seem to be enough in Luntbuild, however: setting that exact same option as an environment variable of my builder doesn't make a difference. I've found a couple of posts on the 'net stating you should also add -XX:MaxPermSize=512m to MAVEN_OPTS and/or pass -Dmaven.findbugs.jvmargs=-Xmx512m to mvn.bat. None of these (or their combination) seem to help though so any hints would be greatly appreciated! Cheers, Johannes Relevant information: Luntbuild is 1.5.6, Maven is 2.1.0, findbugs-maven-plugin is 2.0.1. This is the Findbugs section of the relevant pom.xml: <plugin> <groupId>org.codehaus.mojo</groupId> <artifactId>findbugs-maven-plugin</artifactId> <version>2.0.1</version> </plugin> This is the head of my build log: User "luntbuild" started the build Perform checkout operation for VCS setting: Vcs name: Subversion Repository url base: http://some.repository.com/repo/ Repository layout: multiple Directory for trunk: trunk Directory for branches: branches Directory for tags: tags Username: xxxx Password:xxxx Web interface: ViewVC URL to web interface: http://some.repository.com/repo/ Quiet period: modules: Source path: somepath, Branch: , Label: , Destination path: somewhere Source path: somepath, Branch: somewhere1.0.x, Label: , Destination path: somewhere-1.0.x Source path: somepath, Branch: somewhere1.1.x, Label: , Destination path: somewhere-1.1.x Update url: http://some.repository.com/repo//trunk Duration of the checkout operation: 0 minutes Perform build with builder setting: Builder name: default Builder type: Maven2 builder Command to run Maven2: "C:\maven\apache-maven-2.1.0\bin\mvn.bat" -e -f somewhere\pom.xml -P site -Dmaven.test.skip=false -DbuildDate="Tue Nov 24 11:13:24 CET 2009" -DbuildVersion="site-core138" -Dsvn.username=xxxx -Dsvn.password=xxxx -DstagingSiteURL=file:///C:/luntbuild/core-reports -Dmaven.findbugs.jvmargs=-Xmx512m Directory to run Maven2 in: Goals to build: site:stage site:stage-deploy Build properties: buildVersion="site-core138" artifactsDir="C:\\Program Files\\Luntbuild\\publish\\somewhere\\site-core\\site-core138\\artifacts" buildDate="Tue Nov 24 11:13:24 CET 2009" junitHtmlReportDir="" Environment variables: MAVEN_OPTS="-Xmx512m -XX:MaxPermSize=512m" Build success condition: result==0 and builderLogContainsLine("INFO","BUILD SUCCESSFUL") Execute command: Executing 'C:\maven\apache-maven-2.1.0\bin\mvn.bat' with arguments: '-e' '-f' 'somewhere\pom.xml' '-P' 'site' '-Dmaven.test.skip=false' '-DbuildDate=Tue Nov 24 11:13:24 CET 2009' '-DbuildVersion=site-core138' '-Dsvn.username=xxxxxx' '-Dsvn.password=xxxxxx' '-DstagingSiteURL=file:///C:/luntbuild/reports' '-Dmaven.findbugs.jvmargs=-Xmx512m' '-DbuildVersion=site-core138' '-DartifactsDir=C:\\Program Files\\Luntbuild\\publish\\somewhere\\site-core\\site-core138\\artifacts' '-DbuildDate=Tue Nov 24 11:13:24 CET 2009' '-X' 'site:stage' 'site:stage-deploy' Tail of my build log: Analyzed: C:\luntbuild\somewhere-work\somewhere\...\SomeClass.class ... Analyzed: C:\luntbuild\somewhere-work\somewhere\...\target\classes Aux: C:\luntbuild\somewhere-work\somewhere\...\target\classes Aux: c:\maven\local-repo\...\somejar-1.1.1.1-SNAPSHOT.jar Aux: c:\maven\local-repo\commons-lang\commons-lang\2.3\commons-lang-2.3.jar .... Aux: c:\maven\local-repo\org\openoffice\ridl\3.1.0\ridl-3.1.0.jar Aux: c:\maven\local-repo\org\openoffice\unoil\3.1.0\unoil-3.1.0.jar [INFO] ------------------------------------------------------------------------ [ERROR] FATAL ERROR [INFO] ------------------------------------------------------------------------ [INFO] Java heap space [INFO] ------------------------------------------------------------------------ [DEBUG] Trace java.lang.OutOfMemoryError: Java heap space at java.util.HashMap.(HashMap.java:209) at edu.umd.cs.findbugs.ba.type.TypeAnalysis$CachedExceptionSet.(TypeAnalysis.java:114) at edu.umd.cs.findbugs.ba.type.TypeAnalysis.getCachedExceptionSet(TypeAnalysis.java:688) at edu.umd.cs.findbugs.ba.type.TypeAnalysis.computeThrownExceptionTypes(TypeAnalysis.java:439) at edu.umd.cs.findbugs.ba.type.TypeAnalysis.transfer(TypeAnalysis.java:411) at edu.umd.cs.findbugs.ba.type.TypeAnalysis.transfer(TypeAnalysis.java:89) at edu.umd.cs.findbugs.ba.Dataflow.execute(Dataflow.java:356) at edu.umd.cs.findbugs.classfile.engine.bcel.TypeDataflowFactory.analyze(TypeDataflowFactory.java:82) at edu.umd.cs.findbugs.classfile.engine.bcel.TypeDataflowFactory.analyze(TypeDataflowFactory.java:44) at edu.umd.cs.findbugs.classfile.impl.AnalysisCache.analyzeMethod(AnalysisCache.java:331) at edu.umd.cs.findbugs.classfile.impl.AnalysisCache.getMethodAnalysis(AnalysisCache.java:281) at edu.umd.cs.findbugs.classfile.engine.bcel.CFGFactory.analyze(CFGFactory.java:173) at edu.umd.cs.findbugs.classfile.engine.bcel.CFGFactory.analyze(CFGFactory.java:64) at edu.umd.cs.findbugs.classfile.impl.AnalysisCache.analyzeMethod(AnalysisCache.java:331) at edu.umd.cs.findbugs.classfile.impl.AnalysisCache.getMethodAnalysis(AnalysisCache.java:281) at edu.umd.cs.findbugs.ba.ClassContext.getMethodAnalysis(ClassContext.java:937) at edu.umd.cs.findbugs.ba.ClassContext.getMethodAnalysisNoDataflowAnalysisException(ClassContext.java:921) at edu.umd.cs.findbugs.ba.ClassContext.getCFG(ClassContext.java:326) at edu.umd.cs.findbugs.detect.BuildUnconditionalParamDerefDatabase.analyzeMethod(BuildUnconditionalParamDerefDatabase.java:103) at edu.umd.cs.findbugs.detect.BuildUnconditionalParamDerefDatabase.considerMethod(BuildUnconditionalParamDerefDatabase.java:93) at edu.umd.cs.findbugs.detect.BuildUnconditionalParamDerefDatabase.visitClassContext(BuildUnconditionalParamDerefDatabase.java:79) at edu.umd.cs.findbugs.DetectorToDetector2Adapter.visitClass(DetectorToDetector2Adapter.java:68) at edu.umd.cs.findbugs.FindBugs2.analyzeApplication(FindBugs2.java:971) at edu.umd.cs.findbugs.FindBugs2.execute(FindBugs2.java:222) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at org.codehaus.groovy.reflection.CachedMethod.invoke(CachedMethod.java:86) at groovy.lang.MetaMethod.doMethodInvoke(MetaMethod.java:230) at groovy.lang.MetaClassImpl.invokeMethod(MetaClassImpl.java:912) at groovy.lang.MetaClassImpl.invokeMethod(MetaClassImpl.java:756) [INFO] ------------------------------------------------------------------------ [INFO] Total time: 17 minutes 16 seconds [INFO] Finished at: Tue Nov 24 11:31:23 CET 2009 [INFO] Final Memory: 70M/127M [INFO] ------------------------------------------------------------------------ Maven2 builder failed: build success condition not met! Note that apparently maven only uses 70MB... but that probably doesn't mean anything since the Findbugs plugin forks its own process.

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  • Thinking of an Inner Join as a Cross Join and then satisfying some condition(s)?

    - by Jian Lin
    It seems like the safest way to think of an Inner Join is to think of it as a Cross Join and then satisfying some condition(s)? Because the equi-join can be obvious, but the non-equi-join can be a bit confusing. But if we always use the Cross Join, and then filter out the ones satisfying the condition, then we get the resulting table. In other words, we can always analyze it by using the first record on the left table, and then go through every single records on the right, and then repeat that for 2nd record on the left, and for the 3rd, 4th, ... etc. So in our mind, we can analyze it using this way, and it is like O(n^2), although what happens in the DBMS maybe that it is a lot faster (when an index is present). Is there another good way to think of it besides this method?

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  • It seems like the safest way to think of an Inner Join is to think of it as a Cross Join and then sa

    - by Jian Lin
    It seems like the safest way to think of an Inner Join is to think of it as a Cross Join and then satisfying some condition(s)? Because the equi-join can be obvious, but the non-equi-join can be a bit confusing. But if we always use the Cross Join, and then filter out the ones satisfying the condition, then we get the resulting table. In other words, we can always analyze it by using the first record on the left table, and then go through every single records on the right, and then repeat that for 2nd record on the left, and for the 3rd, 4th, ... etc. So in our mind, we can analyze it using this way, and it is like O(n^2), although what happens in the DBMS maybe that it is a lot faster (when an index is present). Is there another good way to think of it besides this method?

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  • postgreSQL - pg_class question

    - by Sachin Chourasiya
    PostgreSQL stores statistics about tables in the system table called pg_class. The query planner accesses this table for every query. These statistics may only be updated using the analyze command. If the analyze command is not run often, the statistics in this table may not be accurate and the query planner may make poor decisions which can degrade system performance. Another strategy is for the query planner to generate these statistics for each query (including selects, inserts, updates, and deletes). This approach would allow the query planner to have the most up-to-date statistics possible. Why postgres always rely on pg_class instead?

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  • postgres SQL - pg_class question

    - by Sachin Chourasiya
    PostgreSQL stores statistics about tables in the system table called pg_class. The query planner accesses this table for every query. These statistics may only be updated using the analyze command. If the analyze command is not run often, the statistics in this table may not be accurate and the query planner may make poor decisions which can degrade system performance. Another strategy is for the query planner to generate these statistics for each query (including selects, inserts, updates, and deletes). This approach would allow the query planner to have the most up-to-date statistics possible. Why postgres always rely on pg_class instead?

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  • Reading into directory, unix shell script

    - by dubya
    I am trying to analyze the files/directories inside of a directory using a shell script, for example if the file is readable, if it is a file, if it is a directory, etc. My script is set up to take a directory as input. so I would type 'file.sh directoryname'. However, when I create a for loop to analyze the files, it analyzes the files in my current working directory rather than the specified directory name. This is my broken code: file=$1 set mypath = $file for file in $mypath * do if [ -d $file ] dirCount=`expr $dirCount + 1` fi done Why does this read the working directory instead of the specified directory? Any help is appreciated. Thanks

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  • What are unused/undeclared dependencies in maven ? What to do with them ?

    - by b7kich
    Maven dependency:analyze complains about the dependencies in my project. How does it determine which are unused and which are undeclared ? What should I do about them ? Example: $ mvn dependency:analyze ... [WARNING] Used undeclared dependencies found: [WARNING] org.slf4j:slf4j-api:jar:1.5.0:provided [WARNING] commons-logging:commons-logging:jar:1.1.1:compile [WARNING] commons-dbutils:commons-dbutils:jar:1.1-osgi:provided [WARNING] org.codehaus.jackson:jackson-core-asl:jar:1.6.1:compile ... [WARNING] Unused declared dependencies found: [WARNING] commons-cli:commons-cli:jar:1.0:compile [WARNING] org.mortbay.jetty:servlet-api:jar:2.5-20081211:test [WARNING] org.apache.httpcomponents:httpclient:jar:4.0-alpha4:compile [WARNING] commons-collections:commons-collections:jar:3.2:provided [WARNING] javax.mail:mail:jar:1.4:provided Note: A lot of these dependencies are used in my runtime container and I declared them as provided to avoid having same library on the classpath twice with different versions.

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