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  • Is your team is a high-performing team?

    As a child I can remember looking out of the car window as my father drove along the Interstate in Florida while seeing prisoners wearing bright orange jump suits and prison guards keeping a watchful eye on them. The prisoners were taking part in a prison road gang. These road gangs were formed to help the state maintain the state highway infrastructure. The prisoner’s primary responsibilities are to pick up trash and debris from the roadway. This is a prime example of a work group or working group used by most prison systems in the United States. Work groups or working groups can be defined as a collection of individuals or entities working together to achieve a specific goal or accomplish a specific set of tasks. Typically these groups are only established for a short period of time and are dissolved once the desired outcome has been achieved. More often than not group members usually feel as though they are expendable to the group and some even dread that they are even in the group. "A team is a small number of people with complementary skills who are committed to a common purpose, performance goals, and approach for which they are mutually accountable." (Katzenbach and Smith, 1993) So how do you determine that a team is a high-performing team?  This can be determined by three base line criteria that include: consistently high quality output, the promotion of personal growth and well being of all team members, and most importantly the ability to learn and grow as a unit. Initially, a team can successfully create high-performing output without meeting all three criteria, however this will erode over time because team members will feel detached from the group or that they are not growing then the quality of the output will decline. High performing teams are similar to work groups because they both utilize a collection of individuals or entities to accomplish tasks. What distinguish a high-performing team from a work group are its characteristics. High-performing teams contain five core characteristics. These characteristics are what separate a group from a team. The five characteristics of a high-performing team include: Purpose, Performance Measures, People with Tasks and Relationship Skills, Process, and Preparation and Practice. A high-performing team is much more than a work group, and typically has a life cycle that can vary from team to team. The standard team lifecycle consists of five states and is comparable to a human life cycle. The five states of a high-performing team lifecycle include: Formulating, Storming, Normalizing, Performing, and Adjourning. The Formulating State of a team is first realized when the team members are first defined and roles are assigned to all members. This initial stage is very important because it can set the tone for the team and can ultimately determine its success or failure. In addition, this stage requires the team to have a strong leader because team members are normally unclear about specific roles, specific obstacles and goals that my lay ahead of them.  Finally, this stage is where most team members initially meet one another prior to working as a team unless the team members already know each other. The Storming State normally arrives directly after the formulation of a new team because there are still a lot of unknowns amongst the newly formed assembly. As a general rule most of the parties involved in the team are still getting used to the workload, pace of work, deadlines and the validity of various tasks that need to be performed by the group.  In this state everything is questioned because there are so many unknowns. Items commonly questioned include the credentials of others on the team, the actual validity of a project, and the leadership abilities of the team leader.  This can be exemplified by looking at the interactions between animals when they first meet.  If we look at a scenario where two people are walking directly toward each other with their dogs. The dogs will automatically enter the Storming State because they do not know the other dog. Typically in this situation, they attempt to define which is more dominating via play or fighting depending on how the dogs interact with each other. Once dominance has been defined and accepted by both dogs then they will either want to play or leave depending on how the dogs interacted and other environmental variables. Once the Storming State has been realized then the Normalizing State takes over. This state is entered by a team once all the questions of the Storming State have been answered and the team has been tested by a few tasks or projects.  Typically, participants in the team are filled with energy, and comradery, and a strong alliance with team goals and objectives.  A high school football team is a perfect example of the Normalizing State when they start their season.  The player positions have been assigned, the depth chart has been filled and everyone is focused on winning each game. All of the players encourage and expect each other to perform at the best of their abilities and are united by competition from other teams. The Performing State is achieved by a team when its history, working habits, and culture solidify the team as one working unit. In this state team members can anticipate specific behaviors, attitudes, reactions, and challenges are seen as opportunities and not problems. Additionally, each team member knows their role in the team’s success, and the roles of others. This is the most productive state of a group and is where all the time invested working together really pays off. If you look at an Olympic figure skating team skate you can easily see how the time spent working together benefits their performance. They skate as one unit even though it is comprised of two skaters. Each skater has their routine completely memorized as well as their partners. This allows them to anticipate each other’s moves on the ice makes their skating look effortless. The final state of a team is the Adjourning State. This state is where accomplishments by the team and each individual team member are recognized. Additionally, this state also allows for reflection of the interactions between team members, work accomplished and challenges that were faced. Finally, the team celebrates the challenges they have faced and overcome as a unit. Currently in the workplace teams are divided into two different types: Co-located and Distributed Teams. Co-located teams defined as the traditional group of people working together in an office, according to Andy Singleton of Assembla. This traditional type of a team has dominated business in the past due to inadequate technology, which forced workers to primarily interact with one another via face to face meetings.  Team meetings are primarily lead by the person with the highest status in the company. Having personally, participated in meetings of this type, usually a select few of the team members dominate the flow of communication which reduces the input of others in group discussions. Since discussions are dominated by a select few individuals the discussions and group discussion are skewed in favor of the individuals who communicate the most in meetings. In addition, Team members might not give their full opinions on a topic of discussion in part not to offend or create controversy amongst the team and can alter decision made in meetings towards those of the opinions of the dominating team members. Distributed teams are by definition spread across an area or subdivided into separate sections. That is exactly what distributed teams when compared to a more traditional team. It is common place for distributed teams to have team members across town, in the next state, across the country and even with the advances in technology over the last 20 year across the world. These teams allow for more diversity compared to the other type of teams because they allow for more flexibility regarding location. A team could consist of a 30 year old male Italian project manager from New York, a 50 year old female Hispanic from California and a collection of programmers from India because technology allows them to communicate as if they were standing next to one another.  In addition, distributed team members consult with more team members prior to making decisions compared to traditional teams, and take longer to come to decisions due to the changes in time zones and cultural events. However, team members feel more empowered to speak out when they do not agree with the team and to notify others of potential issues regarding the work that the team is doing. Virtual teams which are a subset of the distributed team type is changing organizational strategies due to the fact that a team can now in essence be working 24 hrs a day because of utilizing employees in various time zones and locations.  A primary example of this is with customer services departments, a company can have multiple call centers spread across multiple time zones allowing them to appear to be open 24 hours a day while all a employees work from 9AM to 5 PM every day. Virtual teams also allow human resources departments to go after the best talent for the company regardless of where the potential employee works because they will be a part of a virtual team all that is need is the proper technology to be setup to allow everyone to communicate. In addition to allowing employees to work from home, the company can save space and resources by not having to provide a desk for every team member. In fact, those team members that randomly come into the office can actually share one desk amongst multiple people. This is definitely a cost cutting plus given the current state of the economy. One thing that can turn a team into a high-performing team is leadership. High-performing team leaders need to focus on investing in ongoing personal development, provide team members with direction, structure, and resources needed to accomplish their work, make the right interventions at the right time, and help the team manage boundaries between the team and various external parties involved in the teams work. A team leader needs to invest in ongoing personal development in order to effectively manage their team. People have said that attitude is everything; this is very true about leaders and leadership. A team takes on the attitudes and behaviors of its leaders. This can potentially harm the team and the team’s output. Leaders must concentrate on self-awareness, and understanding their team’s group dynamics to fully understand how to lead them. In addition, always learning new leadership techniques from other effective leaders is also very beneficial. Providing team members with direction, structure, and resources that they need to accomplish their work collectively sounds easy, but it is not.  Leaders need to be able to effectively communicate with their team on how their work helps the company reach for its organizational vision. Conversely, the leader needs to allow his team to work autonomously within specific guidelines to turn the company’s vision into a reality.  This being said the team must be appropriately staffed according to the size of the team’s tasks and their complexity. These tasks should be clear, and be meaningful to the company’s objectives and allow for feedback to be exchanged with the leader and the team member and the leader and upper management. Now if the team is properly staffed, and has a clear and full understanding of what is to be done; the company also must supply the workers with the proper tools to achieve the tasks that they are asked to do. No one should be asked to dig a hole without being given a shovel.  Finally, leaders must reward their team members for accomplishments that they achieve. Awards could range from just a simple congratulatory email, a party to close the completion of a large project, or other monetary rewards. Managing boundaries is very important for team leaders because it can alter attitudes of team members and can add undue stress to the team which will force them to loose focus on the tasks at hand for the group. Team leaders should promote communication between team members so that burdens are shared amongst the team and solutions can be derived from hearing the opinions of multiple sources. This also reinforces team camaraderie and working as a unit. Team leaders must manage the type and timing of interventions as to not create an even bigger mess within the team. Poorly timed interventions can really deflate team members and make them question themselves. This could really increase further and undue interventions by the team leader. Typically, the best time for interventions is when the team is just starting to form so that all unproductive behaviors are removed from the team and that it can retain focus on its agenda. If an intervention is effectively executed the team will feel energized about the work that they are doing, promote communication and interaction amongst the group and improve moral overall. High-performing teams are very import to organizations because they consistently produce high quality output and develop a collective purpose for their work. This drive to succeed allows team members to utilize specific talents allowing for growth in these areas.  In addition, these team members usually take on a sense of ownership with their projects and feel that the other team members are irreplaceable. References: http://blog.assembla.com/assemblablog/tabid/12618/bid/3127/Three-ways-to-organize-your-team-co-located-outsourced-or-global.aspx Katzenbach, J.R. & Smith, D.K. (1993). The Wisdom of Teams: Creating the High-performance Organization. Boston: Harvard Business School.

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  • Multiplying two matrices from two text files with unknown dimensions

    - by wes schwertner
    This is my first post here. I've been working on this c++ question for a while now and have gotten nowhere. Maybe you guys can give me some hints to get me started. My program has to read two .txt files each containing one matrix. Then it has to multiply them and output it to another .txt file. My confusion here though is how the .txt files are setup and how to get the dimensions. Here is an example of matrix 1.txt. #ivalue #jvalue value 1 1 1.0 2 2 1 The dimension of the matrix is 2x2. 1.0 0 0 1 Before I can start multiplying these matrices I need to get the i and j value from the text file. The only way I have found out to do this is int main() { ifstream file("a.txt"); int numcol; float col; for(int x=0; x<3;x++) { file>>col; cout<<col; if(x==1) //grabs the number of columns numcol=col; } cout<<numcol; } The problem is I don't know how to get to the second line to read the number of rows. And on top of that I don't think this will give me accurate results for other matrices files. Let me know if anything is unclear. UPDATE Thanks! I got getline to work correctly. But now I am running into another problem. In matrix B it is setup like: #ivalue #jvalue Value 1 1 0.1 1 2 0.2 2 1 0.3 2 2 0.4 I need to let the program know that it needs to go down 4 lines, maybe even more (The matrices dimensions are unknown. My matrix B example is a 2x2, but it could be a 20x20). I have a while(!file.eof()) loop my program to let it loop until the end of file. I know I need a dynamic array for multiplying, but would I need one here also? #include <iostream> #include <fstream> using namespace std; int main() { ifstream file("a.txt"); //reads matrix A while(!file.eof()) { int temp; int numcol; string numrow; float row; float col; for(int x=0; x<3;x++) { file>>col; if(x==1) { numcol=col; //number of columns } } string test; getline(file, test); //next line to get rows for(int x=0; x<3; x++) { file>>test; if(x==1) { numrow=test; //sets number of rows } } cout<<numrow; cout<<numcol<<endl; } ifstream file1("b.txt"); //reads matrix 2 while(!file1.eof()) { int temp1; int numcol1; string numrow1; float row1; float col1; for(int x=0; x<2;x++) { file1>>col1; if(x==1) numcol1=col1; //sets number of columns } string test1; getline(file1, test1); //In matrix B there are four rows. getline(file1, test1); //These getlines go down a row. getline(file1, test1); //Need help here. for(int x=0; x<2; x++) { file1>>test1; if(x==1) numrow1=test1; } cout<<numrow1; cout<<numcol1<<endl; } }

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  • PHP: How to automate building a 100 <UL>/<LI> menuitems, while keeping the Menu Structure File Flat / Simply Managable?

    - by Sam
    Above: current "stupid" menu. (entire ul/li menu for javascript menu system) + (some li lines as page-specific submenu) Hi folks! With passion for automation and elegancy, but limited knowledge/knowhow, im stuck with "my hands in my hair" as we Dutch say, for my current menu system works perfectly, but is a pain in the a*s to update! So, i would appreciate it greatly, if you can suggest how to automate this in php: how to let the php generate the html menu code basing on a flat menu input file with TABS indented. OLD SITUATION <ul> <!-- about 100 of these <li>....</li> lines --> <li><a href="carrot.php"><p class="mnu" style="background-position:0 -820px"><? echo __("carrot juice") ?></p></a></li> <!-- lots of data, with only little bit thats really the menu itself--> </ul a javascript file reads a ul/li structure as input to build menu of format in that ul/li, the items with a hyperlink and sprite-bg position represent webpages, (inside LI) while items without hyperlink and sprite-bg are just headers of that menusection, (inside H6) to highlight the current page in the menu, the javascript menumaker uses an id number. this number corresponds to the consequtive li that is a webpage, skips h6 headers correctly. these h6 headers are only there for when importing sections of the same menu as submenu. non-li headers are not shown in menu, nore counted by the javascript menu for their ID. to know which page should be shown, i have to count from ID 0, the li items till finding the current webpage in the li structure and then manually put it in each webpage! BUT: changing an item in li order, means stupidly re-counting their entire li again! each webpage has an icon (= sprite bg-position numer), which is also used in the webpage. INTENDED RESULT I dream of, once setting what the current webpage is (e.g carrot.php) the menu system automatically "finds" and "counts" the li's and returns the id nr (for proper highlight of main menu); generates the entire menu html, and depending on which headings are set for submenu, (e.g. meals, drinks) generates those submenu (entire section below each given header); ginally adds h5 highlight inside the li of that submenu item. For the menu, i wish an easily readable, simple plain txt menu that is indented with tabs, (each tab is one depth for example) and further tabs follow for url and sprite position of icon. MY DREAM MENU-MANAGEMENT FILE |>TAB SEPARATED/INDENTED FLATMENU FILE |MUST BE CALCULATED BY PHP: |>MENUTEXT============URL=============SPRITE=====|ID===TAG================== |>about "#" -520 |00 li |> INFORMATION |—— h6 |> physical state "physical.php" -920 |01 li |> mental health "mental.php" -10 |02 li |> |>apetite "#" -1290 |03 li |> meals "#" -600 |04 li |> COLD MEAL |—— h6 |> egg salade "salad.php" -1040 |05 li |> salmon fish "salmon.php" -540 |06 li |> HOT MEAL |—— h6 |> spare ribs "spareribs.php" -120 |07 li |> di macaroni "macaroni.php" -870 |08 li |> |> drinks "#" -230 |09 li |> JUCY DRINK |—— h6 |> carrot juice "carrot.php" -820 |10 li |> mango hive "mango.php" -270 |11 li DESIRED CHRONOLOGY php outputs the entire ul/li html so the javascript can show the menu: webpage items go inside li tags, and header items go inside h6 tags, e.g. <h6>JUCY DRINK</h6> Each website page has a url filename [eg: salad.php]. Based on this given fact, the php menu generator detects the pagename, gives the IDnr of the position of that page according to the li-item nr and sets variable for javascript to highlight current menu item. the menu items below the specified headers are loaded as submenu in which the current page.php is wrapped inside h5 to highlight current page in submenu: e.g. (<li><h5><a href="carrot.php"><p>..etc..</p></h5></li> Question Which methods / steps / (chronological)ways are there for doing this? I am no good in php programming, but am learning it so please dont write any code without a line of comment why I should use that method etc. Where do I start? If I am unclear in my question, please ask. Thanks. Much appreciated!! Concrete Task List from the provided Comments/Answers, sofar: (RobertB) First, get some PHP code working that can read through a tab-delimited file and put the data into an appropriate data structure. NOW WORKING AT THIS

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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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  • High CPU usage with Team Speak 3.0.0-rc2

    - by AlexTheBird
    The CPU usage is always around 40 percent. I use push-to-talk and I had uninstalled pulseaudio. Now I use Alsa. I don't even have to connect to a Server. By simply starting TS the cpu usage goes up 40 percent and stays there. The CPU usage of 3.0.0-rc1 [Build: 14468] is constantly 14 percent. This is the output of top, mpstat and ps aux while I am running TS3 ... of course: alexandros@alexandros-laptop:~$ top top - 18:20:07 up 2:22, 3 users, load average: 1.02, 0.85, 0.77 Tasks: 163 total, 1 running, 162 sleeping, 0 stopped, 0 zombie Cpu(s): 5.3%us, 1.9%sy, 0.1%ni, 91.8%id, 0.7%wa, 0.1%hi, 0.1%si, 0.0%st Mem: 2061344k total, 964028k used, 1097316k free, 69116k buffers Swap: 3997688k total, 0k used, 3997688k free, 449032k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 2714 alexandr 20 0 206m 31m 24m S 37 1.6 0:12.78 ts3client_linux 868 root 20 0 47564 27m 10m S 8 1.4 3:21.73 Xorg 1 root 20 0 2804 1660 1204 S 0 0.1 0:00.53 init 2 root 20 0 0 0 0 S 0 0.0 0:00.00 kthreadd 3 root RT 0 0 0 0 S 0 0.0 0:00.01 migration/0 4 root 20 0 0 0 0 S 0 0.0 0:00.45 ksoftirqd/0 5 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/0 6 root RT 0 0 0 0 S 0 0.0 0:00.00 migration/1 7 root 20 0 0 0 0 S 0 0.0 0:00.08 ksoftirqd/1 8 root RT 0 0 0 0 S 0 0.0 0:00.00 watchdog/1 9 root 20 0 0 0 0 S 0 0.0 0:01.17 events/0 10 root 20 0 0 0 0 S 0 0.0 0:00.81 events/1 11 root 20 0 0 0 0 S 0 0.0 0:00.00 cpuset 12 root 20 0 0 0 0 S 0 0.0 0:00.00 khelper 13 root 20 0 0 0 0 S 0 0.0 0:00.00 async/mgr 14 root 20 0 0 0 0 S 0 0.0 0:00.00 pm 16 root 20 0 0 0 0 S 0 0.0 0:00.00 sync_supers 17 root 20 0 0 0 0 S 0 0.0 0:00.00 bdi-default 18 root 20 0 0 0 0 S 0 0.0 0:00.00 kintegrityd/0 19 root 20 0 0 0 0 S 0 0.0 0:00.00 kintegrityd/1 20 root 20 0 0 0 0 S 0 0.0 0:00.05 kblockd/0 21 root 20 0 0 0 0 S 0 0.0 0:00.02 kblockd/1 22 root 20 0 0 0 0 S 0 0.0 0:00.00 kacpid 23 root 20 0 0 0 0 S 0 0.0 0:00.00 kacpi_notify 24 root 20 0 0 0 0 S 0 0.0 0:00.00 kacpi_hotplug 25 root 20 0 0 0 0 S 0 0.0 0:00.99 ata/0 26 root 20 0 0 0 0 S 0 0.0 0:00.92 ata/1 27 root 20 0 0 0 0 S 0 0.0 0:00.00 ata_aux 28 root 20 0 0 0 0 S 0 0.0 0:00.00 ksuspend_usbd 29 root 20 0 0 0 0 S 0 0.0 0:00.00 khubd alexandros@alexandros-laptop:~$ mpstat Linux 2.6.32-32-generic (alexandros-laptop) 16.06.2011 _i686_ (2 CPU) 18:20:15 CPU %usr %nice %sys %iowait %irq %soft %steal %guest %idle 18:20:15 all 5,36 0,09 1,91 0,68 0,07 0,06 0,00 0,00 91,83 alexandros@alexandros-laptop:~$ ps aux USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 1 0.0 0.0 2804 1660 ? Ss 15:58 0:00 /sbin/init root 2 0.0 0.0 0 0 ? S 15:58 0:00 [kthreadd] root 3 0.0 0.0 0 0 ? S 15:58 0:00 [migration/0] root 4 0.0 0.0 0 0 ? S 15:58 0:00 [ksoftirqd/0] root 5 0.0 0.0 0 0 ? S 15:58 0:00 [watchdog/0] root 6 0.0 0.0 0 0 ? S 15:58 0:00 [migration/1] root 7 0.0 0.0 0 0 ? S 15:58 0:00 [ksoftirqd/1] root 8 0.0 0.0 0 0 ? S 15:58 0:00 [watchdog/1] root 9 0.0 0.0 0 0 ? S 15:58 0:01 [events/0] root 10 0.0 0.0 0 0 ? S 15:58 0:00 [events/1] root 11 0.0 0.0 0 0 ? S 15:58 0:00 [cpuset] root 12 0.0 0.0 0 0 ? S 15:58 0:00 [khelper] root 13 0.0 0.0 0 0 ? S 15:58 0:00 [async/mgr] root 14 0.0 0.0 0 0 ? S 15:58 0:00 [pm] root 16 0.0 0.0 0 0 ? S 15:58 0:00 [sync_supers] root 17 0.0 0.0 0 0 ? S 15:58 0:00 [bdi-default] root 18 0.0 0.0 0 0 ? S 15:58 0:00 [kintegrityd/0] root 19 0.0 0.0 0 0 ? S 15:58 0:00 [kintegrityd/1] root 20 0.0 0.0 0 0 ? S 15:58 0:00 [kblockd/0] root 21 0.0 0.0 0 0 ? S 15:58 0:00 [kblockd/1] root 22 0.0 0.0 0 0 ? S 15:58 0:00 [kacpid] root 23 0.0 0.0 0 0 ? S 15:58 0:00 [kacpi_notify] root 24 0.0 0.0 0 0 ? S 15:58 0:00 [kacpi_hotplug] root 25 0.0 0.0 0 0 ? S 15:58 0:00 [ata/0] root 26 0.0 0.0 0 0 ? S 15:58 0:00 [ata/1] root 27 0.0 0.0 0 0 ? S 15:58 0:00 [ata_aux] root 28 0.0 0.0 0 0 ? S 15:58 0:00 [ksuspend_usbd] root 29 0.0 0.0 0 0 ? S 15:58 0:00 [khubd] root 30 0.0 0.0 0 0 ? S 15:58 0:00 [kseriod] root 31 0.0 0.0 0 0 ? S 15:58 0:00 [kmmcd] root 34 0.0 0.0 0 0 ? S 15:58 0:00 [khungtaskd] root 35 0.0 0.0 0 0 ? S 15:58 0:00 [kswapd0] root 36 0.0 0.0 0 0 ? SN 15:58 0:00 [ksmd] root 37 0.0 0.0 0 0 ? S 15:58 0:00 [aio/0] root 38 0.0 0.0 0 0 ? S 15:58 0:00 [aio/1] root 39 0.0 0.0 0 0 ? S 15:58 0:00 [ecryptfs-kthrea] root 40 0.0 0.0 0 0 ? S 15:58 0:00 [crypto/0] root 41 0.0 0.0 0 0 ? S 15:58 0:00 [crypto/1] root 48 0.0 0.0 0 0 ? S 15:58 0:03 [scsi_eh_0] root 50 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_1] root 53 0.0 0.0 0 0 ? S 15:58 0:00 [kstriped] root 54 0.0 0.0 0 0 ? S 15:58 0:00 [kmpathd/0] root 55 0.0 0.0 0 0 ? S 15:58 0:00 [kmpathd/1] root 56 0.0 0.0 0 0 ? S 15:58 0:00 [kmpath_handlerd] root 57 0.0 0.0 0 0 ? S 15:58 0:00 [ksnapd] root 58 0.0 0.0 0 0 ? S 15:58 0:03 [kondemand/0] root 59 0.0 0.0 0 0 ? S 15:58 0:02 [kondemand/1] root 60 0.0 0.0 0 0 ? S 15:58 0:00 [kconservative/0] root 61 0.0 0.0 0 0 ? S 15:58 0:00 [kconservative/1] root 213 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_2] root 222 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_3] root 234 0.0 0.0 0 0 ? S 15:58 0:00 [scsi_eh_4] root 235 0.0 0.0 0 0 ? S 15:58 0:01 [usb-storage] root 255 0.0 0.0 0 0 ? S 15:58 0:00 [jbd2/sda5-8] root 256 0.0 0.0 0 0 ? S 15:58 0:00 [ext4-dio-unwrit] root 257 0.0 0.0 0 0 ? S 15:58 0:00 [ext4-dio-unwrit] root 290 0.0 0.0 0 0 ? S 15:58 0:00 [flush-8:0] root 318 0.0 0.0 2316 888 ? S 15:58 0:00 upstart-udev-bridge --daemon root 321 0.0 0.0 2616 1024 ? S<s 15:58 0:00 udevd --daemon root 526 0.0 0.0 0 0 ? S 15:58 0:00 [kpsmoused] root 528 0.0 0.0 0 0 ? S 15:58 0:00 [led_workqueue] root 650 0.0 0.0 0 0 ? S 15:58 0:00 [radeon/0] root 651 0.0 0.0 0 0 ? S 15:58 0:00 [radeon/1] root 652 0.0 0.0 0 0 ? S 15:58 0:00 [ttm_swap] root 654 0.0 0.0 2612 984 ? S< 15:58 0:00 udevd --daemon root 656 0.0 0.0 0 0 ? S 15:58 0:00 [hd-audio0] root 657 0.0 0.0 2612 916 ? S< 15:58 0:00 udevd --daemon root 674 0.6 0.0 0 0 ? S 15:58 0:57 [phy0] syslog 715 0.0 0.0 34812 1776 ? Sl 15:58 0:00 rsyslogd -c4 102 731 0.0 0.0 3236 1512 ? Ss 15:58 0:02 dbus-daemon --system --fork root 740 0.0 0.1 19088 3380 ? Ssl 15:58 0:00 gdm-binary root 744 0.0 0.1 18900 4032 ? Ssl 15:58 0:01 NetworkManager avahi 749 0.0 0.0 2928 1520 ? S 15:58 0:00 avahi-daemon: running [alexandros-laptop.local] avahi 752 0.0 0.0 2928 544 ? Ss 15:58 0:00 avahi-daemon: chroot helper root 753 0.0 0.1 4172 2300 ? S 15:58 0:00 /usr/sbin/modem-manager root 762 0.0 0.1 20584 3152 ? Sl 15:58 0:00 /usr/sbin/console-kit-daemon --no-daemon root 836 0.0 0.1 20856 3864 ? Sl 15:58 0:00 /usr/lib/gdm/gdm-simple-slave --display-id /org/gnome/DisplayManager/Display1 root 856 0.0 0.1 4836 2388 ? S 15:58 0:00 /sbin/wpa_supplicant -u -s root 868 2.3 1.3 36932 27924 tty7 Rs+ 15:58 3:22 /usr/bin/X :0 -nr -verbose -auth /var/run/gdm/auth-for-gdm-a46T4j/database -nolisten root 891 0.0 0.0 1792 564 tty4 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty4 root 901 0.0 0.0 1792 564 tty5 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty5 root 908 0.0 0.0 1792 564 tty2 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty2 root 910 0.0 0.0 1792 568 tty3 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty3 root 913 0.0 0.0 1792 564 tty6 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty6 root 917 0.0 0.0 2180 1072 ? Ss 15:58 0:00 acpid -c /etc/acpi/events -s /var/run/acpid.socket daemon 924 0.0 0.0 2248 432 ? Ss 15:58 0:00 atd root 927 0.0 0.0 2376 900 ? Ss 15:58 0:00 cron root 950 0.0 0.0 11736 1372 ? Ss 15:58 0:00 /usr/sbin/winbindd root 958 0.0 0.0 11736 1184 ? S 15:58 0:00 /usr/sbin/winbindd root 974 0.0 0.1 6832 2580 ? Ss 15:58 0:00 /usr/sbin/cupsd -C /etc/cups/cupsd.conf root 1078 0.0 0.0 1792 564 tty1 Ss+ 15:58 0:00 /sbin/getty -8 38400 tty1 gdm 1097 0.0 0.0 3392 772 ? S 15:58 0:00 /usr/bin/dbus-launch --exit-with-session root 1112 0.0 0.1 19216 3292 ? Sl 15:58 0:00 /usr/lib/gdm/gdm-session-worker root 1116 0.0 0.1 5540 2932 ? S 15:58 0:01 /usr/lib/upower/upowerd root 1131 0.0 0.1 6308 3824 ? S 15:58 0:00 /usr/lib/policykit-1/polkitd 108 1163 0.0 0.2 16788 4360 ? Ssl 15:58 0:01 /usr/sbin/hald root 1164 0.0 0.0 3536 1300 ? S 15:58 0:00 hald-runner root 1188 0.0 0.0 3612 1256 ? S 15:58 0:00 hald-addon-input: Listening on /dev/input/event6 /dev/input/event5 /dev/input/event2 root 1194 0.0 0.0 3612 1224 ? S 15:58 0:00 /usr/lib/hal/hald-addon-rfkill-killswitch root 1200 0.0 0.0 3608 1240 ? S 15:58 0:00 /usr/lib/hal/hald-addon-generic-backlight root 1202 0.0 0.0 3616 1236 ? S 15:58 0:02 hald-addon-storage: polling /dev/sr0 (every 2 sec) root 1204 0.0 0.0 3616 1236 ? S 15:58 0:00 hald-addon-storage: polling /dev/sdb (every 2 sec) root 1211 0.0 0.0 3624 1220 ? S 15:58 0:00 /usr/lib/hal/hald-addon-cpufreq 108 1212 0.0 0.0 3420 1200 ? S 15:58 0:00 hald-addon-acpi: listening on acpid socket /var/run/acpid.socket 1000 1222 0.0 0.1 24196 2816 ? Sl 15:58 0:00 /usr/bin/gnome-keyring-daemon --daemonize --login 1000 1240 0.0 0.3 28228 7312 ? Ssl 15:58 0:00 gnome-session 1000 1274 0.0 0.0 3284 356 ? Ss 15:58 0:00 /usr/bin/ssh-agent /usr/bin/dbus-launch --exit-with-session gnome-session 1000 1277 0.0 0.0 3392 772 ? S 15:58 0:00 /usr/bin/dbus-launch --exit-with-session gnome-session 1000 1278 0.0 0.0 3160 1652 ? Ss 15:58 0:00 /bin/dbus-daemon --fork --print-pid 5 --print-address 7 --session 1000 1281 0.0 0.2 8172 4636 ? S 15:58 0:00 /usr/lib/libgconf2-4/gconfd-2 1000 1287 0.0 0.5 24228 10896 ? Ss 15:58 0:03 /usr/lib/gnome-settings-daemon/gnome-settings-daemon 1000 1290 0.0 0.1 6468 2364 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd 1000 1293 0.0 0.6 38104 13004 ? S 15:58 0:03 metacity 1000 1296 0.0 0.1 30280 2628 ? Ssl 15:58 0:00 /usr/lib/gvfs//gvfs-fuse-daemon /home/alexandros/.gvfs 1000 1301 0.0 0.0 3344 988 ? S 15:58 0:03 syndaemon -i 0.5 -k 1000 1303 0.0 0.1 8060 3488 ? S 15:58 0:00 /usr/lib/gvfs/gvfs-gdu-volume-monitor root 1306 0.0 0.1 15692 3104 ? Sl 15:58 0:00 /usr/lib/udisks/udisks-daemon 1000 1307 0.4 1.0 50748 21684 ? S 15:58 0:34 python -u /usr/share/screenlets/DigiClock/DigiClockScreenlet.py 1000 1308 0.0 0.9 35608 18564 ? S 15:58 0:00 python /usr/share/screenlets-manager/screenlets-daemon.py 1000 1309 0.0 0.3 19524 6468 ? S 15:58 0:00 /usr/lib/policykit-1-gnome/polkit-gnome-authentication-agent-1 1000 1311 0.0 0.5 37412 11788 ? S 15:58 0:01 gnome-power-manager 1000 1312 0.0 1.0 50772 22628 ? S 15:58 0:03 gnome-panel 1000 1313 0.1 1.5 102648 31184 ? Sl 15:58 0:10 nautilus root 1314 0.0 0.0 5188 996 ? S 15:58 0:02 udisks-daemon: polling /dev/sdb /dev/sr0 1000 1315 0.0 0.6 51948 12464 ? SL 15:58 0:01 nm-applet --sm-disable 1000 1317 0.0 0.1 16956 2364 ? Sl 15:58 0:00 /usr/lib/gvfs/gvfs-afc-volume-monitor 1000 1318 0.0 0.3 20164 7792 ? S 15:58 0:00 bluetooth-applet 1000 1321 0.0 0.1 7260 2384 ? S 15:58 0:00 /usr/lib/gvfs/gvfs-gphoto2-volume-monitor 1000 1323 0.0 0.5 37436 12124 ? S 15:58 0:00 /usr/lib/notify-osd/notify-osd 1000 1324 0.0 1.9 197928 40456 ? Ssl 15:58 0:06 /home/alexandros/.dropbox-dist/dropbox 1000 1329 0.0 0.3 20136 7968 ? S 15:58 0:00 /usr/bin/gnome-screensaver --no-daemon 1000 1331 0.0 0.1 7056 3112 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd-trash --spawner :1.6 /org/gtk/gvfs/exec_spaw/0 root 1340 0.0 0.0 2236 1008 ? S 15:58 0:00 /sbin/dhclient -d -sf /usr/lib/NetworkManager/nm-dhcp-client.action -pf /var/run/dhcl 1000 1348 0.0 0.1 42252 3680 ? Ssl 15:58 0:00 /usr/lib/bonobo-activation/bonobo-activation-server --ac-activate --ior-output-fd=19 1000 1384 0.0 1.7 80244 35480 ? Sl 15:58 0:02 /usr/bin/python /usr/lib/deskbar-applet/deskbar-applet/deskbar-applet --oaf-activate- 1000 1388 0.0 0.5 26196 11804 ? S 15:58 0:01 /usr/lib/gnome-panel/wnck-applet --oaf-activate-iid=OAFIID:GNOME_Wncklet_Factory --oa 1000 1393 0.1 0.5 25876 11548 ? S 15:58 0:08 /usr/lib/gnome-applets/multiload-applet-2 --oaf-activate-iid=OAFIID:GNOME_MultiLoadAp 1000 1394 0.0 0.5 25600 11140 ? S 15:58 0:03 /usr/lib/gnome-applets/cpufreq-applet --oaf-activate-iid=OAFIID:GNOME_CPUFreqApplet_F 1000 1415 0.0 0.5 39192 11156 ? S 15:58 0:01 /usr/lib/gnome-power-manager/gnome-inhibit-applet --oaf-activate-iid=OAFIID:GNOME_Inh 1000 1417 0.0 0.7 53544 15488 ? Sl 15:58 0:00 /usr/lib/gnome-applets/mixer_applet2 --oaf-activate-iid=OAFIID:GNOME_MixerApplet_Fact 1000 1419 0.0 0.4 23816 9068 ? S 15:58 0:00 /usr/lib/gnome-panel/notification-area-applet --oaf-activate-iid=OAFIID:GNOME_Notific 1000 1488 0.0 0.3 20964 7548 ? S 15:58 0:00 /usr/lib/gnome-disk-utility/gdu-notification-daemon 1000 1490 0.0 0.1 6608 2484 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd-burn --spawner :1.6 /org/gtk/gvfs/exec_spaw/1 1000 1510 0.0 0.1 6348 2084 ? S 15:58 0:00 /usr/lib/gvfs/gvfsd-metadata 1000 1531 0.0 0.3 19472 6616 ? S 15:58 0:00 /usr/lib/gnome-user-share/gnome-user-share 1000 1535 0.0 0.4 77128 8392 ? Sl 15:58 0:00 /usr/lib/evolution/evolution-data-server-2.28 --oaf-activate-iid=OAFIID:GNOME_Evoluti 1000 1601 0.0 0.5 69576 11800 ? Sl 15:59 0:00 /usr/lib/evolution/2.28/evolution-alarm-notify 1000 1604 0.0 0.7 33924 15888 ? S 15:59 0:00 python /usr/share/system-config-printer/applet.py 1000 1701 0.0 0.5 37116 11968 ? S 15:59 0:00 update-notifier 1000 1892 4.5 7.0 406720 145312 ? Sl 17:11 3:09 /opt/google/chrome/chrome 1000 1896 0.0 0.1 69812 3680 ? S 17:11 0:02 /opt/google/chrome/chrome 1000 1898 0.0 0.6 91420 14080 ? S 17:11 0:00 /opt/google/chrome/chrome --type=zygote 1000 1916 0.2 1.3 140780 27220 ? Sl 17:11 0:12 /opt/google/chrome/chrome --type=extension --disable-client-side-phishing-detection - 1000 1918 0.7 1.8 155720 37912 ? Sl 17:11 0:31 /opt/google/chrome/chrome --type=extension --disable-client-side-phishing-detection - 1000 1921 0.0 1.0 135904 21052 ? Sl 17:11 0:02 /opt/google/chrome/chrome --type=extension --disable-client-side-phishing-detection - 1000 1927 6.5 3.6 194604 74960 ? Sl 17:11 4:32 /opt/google/chrome/chrome --type=renderer --disable-client-side-phishing-detection -- 1000 2156 0.4 0.7 48344 14896 ? Rl 18:03 0:04 gnome-terminal 1000 2157 0.0 0.0 1988 712 ? S 18:03 0:00 gnome-pty-helper 1000 2158 0.0 0.1 6504 3860 pts/0 Ss 18:03 0:00 bash 1000 2564 0.2 0.1 6624 3984 pts/1 Ss+ 18:17 0:00 bash 1000 2711 0.0 0.0 4208 1352 ? S 18:19 0:00 /bin/bash /home/alexandros/Programme/TeamSpeak3-Client-linux_x86_back/ts3client_runsc 1000 2714 36.5 1.5 210872 31960 ? SLl 18:19 0:18 ./ts3client_linux_x86 1000 2743 0.0 0.0 2716 1068 pts/0 R+ 18:20 0:00 ps aux Output of vmstat: alexandros@alexandros-laptop:~$ vmstat procs -----------memory---------- ---swap-- -----io---- -system-- ----cpu---- r b swpd free buff cache si so bi bo in cs us sy id wa 0 0 0 1093324 69840 449496 0 0 27 10 476 667 6 2 91 1 Output of lsusb alexandros@alexandros-laptop:~$ lspci 00:00.0 Host bridge: Silicon Integrated Systems [SiS] 671MX 00:01.0 PCI bridge: Silicon Integrated Systems [SiS] PCI-to-PCI bridge 00:02.0 ISA bridge: Silicon Integrated Systems [SiS] SiS968 [MuTIOL Media IO] (rev 01) 00:02.5 IDE interface: Silicon Integrated Systems [SiS] 5513 [IDE] (rev 01) 00:03.0 USB Controller: Silicon Integrated Systems [SiS] USB 1.1 Controller (rev 0f) 00:03.1 USB Controller: Silicon Integrated Systems [SiS] USB 1.1 Controller (rev 0f) 00:03.3 USB Controller: Silicon Integrated Systems [SiS] USB 2.0 Controller 00:05.0 IDE interface: Silicon Integrated Systems [SiS] SATA Controller / IDE mode (rev 03) 00:06.0 PCI bridge: Silicon Integrated Systems [SiS] PCI-to-PCI bridge 00:07.0 PCI bridge: Silicon Integrated Systems [SiS] PCI-to-PCI bridge 00:0d.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL-8139/8139C/8139C+ (rev 10) 00:0f.0 Audio device: Silicon Integrated Systems [SiS] Azalia Audio Controller 01:00.0 VGA compatible controller: ATI Technologies Inc Mobility Radeon X2300 02:00.0 Ethernet controller: Atheros Communications Inc. AR5001 Wireless Network Adapter (rev 01) The Team Speak log file : 2011-06-19 19:04:04.223522|INFO | | | Logging started, clientlib version: 3.0.0-rc2 [Build: 14642] 2011-06-19 19:04:04.761149|ERROR |SoundBckndIntf| | /home/alexandros/Programme/TeamSpeak3-Client-linux_x86_back/soundbackends/libpulseaudio_linux_x86.so error: NOT_CONNECTED 2011-06-19 19:04:05.871770|INFO |ClientUI | | Failed to init text to speech engine 2011-06-19 19:04:05.894623|INFO |ClientUI | | TeamSpeak 3 client version: 3.0.0-rc2 [Build: 14642] 2011-06-19 19:04:05.895421|INFO |ClientUI | | Qt version: 4.7.2 2011-06-19 19:04:05.895571|INFO |ClientUI | | Using configuration location: /home/alexandros/.ts3client/ts3clientui_qt.conf 2011-06-19 19:04:06.559596|INFO |ClientUI | | Last update check was: Sa. Jun 18 00:08:43 2011 2011-06-19 19:04:06.560506|INFO | | | Checking for updates... 2011-06-19 19:04:07.357869|INFO | | | Update check, my version: 14642, latest version: 14642 2011-06-19 19:05:52.978481|INFO |PreProSpeex | 1| Speex version: 1.2rc1 2011-06-19 19:05:54.055347|INFO |UIHelpers | | setClientVolumeModifier: 10 -8 2011-06-19 19:05:54.057196|INFO |UIHelpers | | setClientVolumeModifier: 11 2 Thanks for taking the time to read my message. UPDATE: Thanks to nickguletskii's link I googled for "alsa cpu usage" (without quotes) and it brought me to a forum. A user wrote that by directly selecting the hardware with "plughw:x.x" won't impact the performance of the system. I have selected it in the TS 3 configuration and it worked. But this solution is not optimal because now no other program can access the sound output. If you need any further information or my question is unclear than please tell me.

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  • Set up linux box for secure local hosting a-z

    - by microchasm
    I am in the process of reinstalling the OS on a machine that will be used to host a couple of apps for our business. The apps will be local only; access from external clients will be via vpn only. The prior setup used a hosting control panel (Plesk) for most of the admin, and I was looking at using another similar piece of software for the reinstall - but I figured I should finally learn how it all works. I can do most of the things the software would do for me, but am unclear on the symbiosis of it all. This is all an attempt to further distance myself from the land of Configuration Programmer/Programmer, if at all possible. I can't find a full walkthrough anywhere for what I'm looking for, so I thought I'd put up this question, and if people can help me on the way I will edit this with the answers, and document my progress/pitfalls. Hopefully someday this will help someone down the line. The details: CentOS 5.5 x86_64 httpd: Apache/2.2.3 mysql: 5.0.77 (to be upgraded) php: 5.1 (to be upgraded) The requirements: SECURITY!! Secure file transfer Secure client access (SSL Certs and CA) Secure data storage Virtualhosts/multiple subdomains Local email would be nice, but not critical The Steps: Download latest CentOS DVD-iso (torrent worked great for me). Install CentOS: While going through the install, I checked the Server Components option thinking I was going to be using another Plesk-like admin. In hindsight, considering I've decided to try to go my own way, this probably wasn't the best idea. Basic config: Setup users, networking/ip address etc. Yum update/upgrade. Upgrade PHP/MySQL: To upgrade PHP and MySQL to the latest versions, I had to look to another repo outside CentOS. IUS looks great and I'm happy I found it! Add IUS repository to our package manager cd /tmp wget http://dl.iuscommunity.org/pub/ius/stable/Redhat/5/x86_64/epel-release-1-1.ius.el5.noarch.rpm rpm -Uvh epel-release-1-1.ius.el5.noarch.rpm wget http://dl.iuscommunity.org/pub/ius/stable/Redhat/5/x86_64/ius-release-1-4.ius.el5.noarch.rpm rpm -Uvh ius-release-1-4.ius.el5.noarch.rpm yum list | grep -w \.ius\. # list all the packages in the IUS repository; use this to find PHP/MySQL version and libraries you want to install Remove old version of PHP and install newer version from IUS rpm -qa | grep php # to list all of the installed php packages we want to remove yum shell # open an interactive yum shell remove php-common php-mysql php-cli #remove installed PHP components install php53 php53-mysql php53-cli php53-common #add packages you want transaction solve #important!! checks for dependencies transaction run #important!! does the actual installation of packages. [control+d] #exit yum shell php -v PHP 5.3.2 (cli) (built: Apr 6 2010 18:13:45) Upgrade MySQL from IUS repository /etc/init.d/mysqld stop rpm -qa | grep mysql # to see installed mysql packages yum shell remove mysql mysql-server #remove installed MySQL components install mysql51 mysql51-server mysql51-devel transaction solve #important!! checks for dependencies transaction run #important!! does the actual installation of packages. [control+d] #exit yum shell service mysqld start mysql -v Server version: 5.1.42-ius Distributed by The IUS Community Project Upgrade instructions courtesy of IUS wiki: http://wiki.iuscommunity.org/Doc/ClientUsageGuide Install rssh (restricted shell) to provide scp and sftp access, without allowing ssh login cd /tmp wget http://dag.wieers.com/rpm/packages/rssh/rssh-2.3.2-1.2.el5.rf.x86_64.rpm rpm -ivh rssh-2.3.2-1.2.el5.rf.x86_64.rpm useradd -m -d /home/dev -s /usr/bin/rssh dev passwd dev Edit /etc/rssh.conf to grant access to SFTP to rssh users. vi /etc/rssh.conf Uncomment or add: allowscp allowsftp This allows me to connect to the machine via SFTP protocol in Transmit (my FTP program of choice; I'm sure it's similar with other FTP apps). rssh instructions appropriated (with appreciation!) from http://www.cyberciti.biz/tips/linux-unix-restrict-shell-access-with-rssh.html Set up virtual interfaces ifconfig eth1:1 192.168.1.3 up #start up the virtual interface cd /etc/sysconfig/network-scripts/ cp ifcfg-eth1 ifcfg-eth1:1 #copy default script and match name to our virtual interface vi ifcfg-eth1:1 #modify eth1:1 script #ifcfg-eth1:1 | modify so it looks like this: DEVICE=eth1:1 IPADDR=192.168.1.3 NETMASK=255.255.255.0 NETWORK=192.168.1.0 ONBOOT=yes NAME=eth1:1 Add more Virtual interfaces as needed by repeating. Because of the ONBOOT=yes line in the ifcfg-eth1:1 file, this interface will be brought up when the system boots, or the network starts/restarts. service network restart Shutting down interface eth0: [ OK ] Shutting down interface eth1: [ OK ] Shutting down loopback interface: [ OK ] Bringing up loopback interface: [ OK ] Bringing up interface eth0: [ OK ] Bringing up interface eth1: [ OK ] ping 192.168.1.3 64 bytes from 192.168.1.3: icmp_seq=1 ttl=64 time=0.105 ms Virtualhosts In the rssh section above I added a user to use for SFTP. In this users' home directory, I created a folder called 'https'. This is where the documents for this site will live, so I need to add a virtualhost that will point to it. I will use the above virtual interface for this site (herein called dev.site.local). vi /etc/http/conf/httpd.conf Add the following to the end of httpd.conf: <VirtualHost 192.168.1.3:80> ServerAdmin [email protected] DocumentRoot /home/dev/https ServerName dev.site.local ErrorLog /home/dev/logs/error_log TransferLog /home/dev/logs/access_log </VirtualHost> I put a dummy index.html file in the https directory just to check everything out. I tried browsing to it, and was met with permission denied errors. The logs only gave an obscure reference to what was going on: [Mon May 17 14:57:11 2010] [error] [client 192.168.1.100] (13)Permission denied: access to /index.html denied I tried chmod 777 et. al., but to no avail. Turns out, I needed to chmod+x the https directory and its' parent directories. chmod +x /home chmod +x /home/dev chmod +x /home/dev/https This solved that problem. DNS I'm handling DNS via our local Windows Server 2003 box. However, the CentOS documentation for BIND can be found here: http://www.centos.org/docs/5/html/Deployment_Guide-en-US/ch-bind.html SSL To get SSL working, I changed the following in httpd.conf: NameVirtualHost 192.168.1.3:443 #make sure this line is in httpd.conf <VirtualHost 192.168.1.3:443> #change port to 443 ServerAdmin [email protected] DocumentRoot /home/dev/https ServerName dev.site.local ErrorLog /home/dev/logs/error_log TransferLog /home/dev/logs/access_log </VirtualHost> Unfortunately, I keep getting (Error code: ssl_error_rx_record_too_long) errors when trying to access a page with SSL. As JamesHannah gracefully pointed out below, I had not set up the locations of the certs in httpd.conf, and thusly was getting the page thrown at the broswer as the cert making the browser balk. So first, I needed to set up a CA and make certificate files. I found a great (if old) walkthrough on the process here: http://www.debian-administration.org/articles/284. Here are the relevant steps I took from that article: mkdir /home/CA cd /home/CA/ mkdir newcerts private echo '01' > serial touch index.txt #this and the above command are for the database that will keep track of certs Create an openssl.cnf file in the /home/CA/ dir and edit it per the walkthrough linked above. (For reference, my finished openssl.cnf file looked like this: http://pastebin.com/raw.php?i=hnZDij4T) openssl req -new -x509 -extensions v3_ca -keyout private/cakey.pem -out cacert.pem -days 3650 -config ./openssl.cnf #this creates the cacert.pem which gets distributed and imported to the browser(s) Modified openssl.cnf again per walkthrough instructions. openssl req -new -nodes -out dev.req.pem -config ./openssl.cnf #generates certificate request, and key.pem which I renamed dev.key.pem. Modified openssl.cnf again per walkthrough instructions. openssl ca -out dev.cert.pem -config ./openssl.cnf -infiles dev.req.pem #create and sign certificate. cp dev.cert.pem /home/dev/certs/cert.pem cp dev.key.pem /home/certs/key.pem I updated httpd.conf to reflect the certs and turn SSLEngine on: NameVirtualHost 192.168.1.3:443 <VirtualHost 192.168.1.3:443> ServerAdmin [email protected] DocumentRoot /home/dev/https SSLEngine on SSLCertificateFile /home/dev/certs/cert.pem SSLCertificateKeyFile /home/dev/certs/key.pem ServerName dev.site.local ErrorLog /home/dev/logs/error_log TransferLog /home/dev/logs/access_log </VirtualHost> Put the CA cert.pem in a web-accessible place, and downloaded/imported it into my browser. Now I can visit https://dev.site.local with no errors or warnings. And this is where I'm at. I will keep editing this as I make progress. Any tips on how to configure SSL email would be appreciated.

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  • How to consume PHP SOAP service using WCF

    - by mr.b
    I am new in web services so apologize me if I am making some cardinal mistake here, hehe. I have built SOAP service using PHP. Service is SOAP 1.2 compatible, and I have WSDL available. I have enabled sessions, so that I can track login status, etc. I don't need some super security here (ie message-level security), all I need is transport security (HTTPS), since this service will be used infrequently, and performances are not so much of an issue. I am having difficulties making it to work at all. C# throws some unclear exception ("Server returned an invalid SOAP Fault. Please see InnerException for more details.", which in turn says "Unbound prefix used in qualified name 'rpc:ProcedureNotPresent'."), but consuming service using PHP SOAP client behaves as expected (including session and all). So far, I have following code. note: due to amount of real code, I am posting minimal code configuration PHP SOAP server (using Zend Soap Server library), including class(es) exposed via service: <?php class Verification_LiteralDocumentProxy { protected $instance; public function __call($methodName, $args) { if ($this->instance === null) { $this->instance = new Verification(); } $result = call_user_func_array(array($this->instance, $methodName), $args[0]); return array($methodName.'Result' => $result); } } class Verification { private $guid = ''; private $hwid = ''; /** * Initialize connection * * @param string GUID * @param string HWID * @return bool */ public function Initialize($guid, $hwid) { $this->guid = $guid; $this->hwid = $hwid; return true; } /** * Closes session * * @return void */ public function Close() { // if session is working, $this->hwid and $this->guid // should contain non-empty values } } // start up session stuff $sess = Session::instance(); require_once 'Zend/Soap/Server.php'; $server = new Zend_Soap_Server('https://www.somesite.com/api?wsdl'); $server->setClass('Verification_LiteralDocumentProxy'); $server->setPersistence(SOAP_PERSISTENCE_SESSION); $server->handle(); WSDL: <definitions xmlns="http://schemas.xmlsoap.org/wsdl/" xmlns:tns="https://www.somesite.com/api" xmlns:soap="http://schemas.xmlsoap.org/wsdl/soap/" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xmlns:soap-enc="http://schemas.xmlsoap.org/soap/encoding/" xmlns:wsdl="http://schemas.xmlsoap.org/wsdl/" name="Verification" targetNamespace="https://www.somesite.com/api"> <types> <xsd:schema targetNamespace="https://www.somesite.com/api"> <xsd:element name="Initialize"> <xsd:complexType> <xsd:sequence> <xsd:element name="guid" type="xsd:string"/> <xsd:element name="hwid" type="xsd:string"/> </xsd:sequence> </xsd:complexType> </xsd:element> <xsd:element name="InitializeResponse"> <xsd:complexType> <xsd:sequence> <xsd:element name="InitializeResult" type="xsd:boolean"/> </xsd:sequence> </xsd:complexType> </xsd:element> <xsd:element name="Close"> <xsd:complexType/> </xsd:element> </xsd:schema> </types> <portType name="VerificationPort"> <operation name="Initialize"> <documentation> Initializes connection with server</documentation> <input message="tns:InitializeIn"/> <output message="tns:InitializeOut"/> </operation> <operation name="Close"> <documentation> Closes session between client and server</documentation> <input message="tns:CloseIn"/> </operation> </portType> <binding name="VerificationBinding" type="tns:VerificationPort"> <soap:binding style="document" transport="http://schemas.xmlsoap.org/soap/http"/> <operation name="Initialize"> <soap:operation soapAction="https://www.somesite.com/api#Initialize"/> <input> <soap:body use="literal"/> </input> <output> <soap:body use="literal"/> </output> </operation> <operation name="Close"> <soap:operation soapAction="https://www.somesite.com/api#Close"/> <input> <soap:body use="literal"/> </input> <output> <soap:body use="literal"/> </output> </operation> </binding> <service name="VerificationService"> <port name="VerificationPort" binding="tns:VerificationBinding"> <soap:address location="https://www.somesite.com/api"/> </port> </service> <message name="InitializeIn"> <part name="parameters" element="tns:Initialize"/> </message> <message name="InitializeOut"> <part name="parameters" element="tns:InitializeResponse"/> </message> <message name="CloseIn"> <part name="parameters" element="tns:Close"/> </message> </definitions> And finally, WCF C# consumer code: [ServiceContract(SessionMode = SessionMode.Required)] public interface IVerification { [OperationContract(Action = "Initialize", IsInitiating = true)] bool Initialize(string guid, string hwid); [OperationContract(Action = "Close", IsInitiating = false, IsTerminating = true)] void Close(); } class Program { static void Main(string[] args) { WSHttpBinding whb = new WSHttpBinding(SecurityMode.Transport, true); ChannelFactory<IVerification> cf = new ChannelFactory<IVerification>( whb, "https://www.somesite.com/api"); IVerification client = cf.CreateChannel(); Console.WriteLine(client.Initialize("123451515", "15498518").ToString()); client.Close(); } } Any ideas? What am I doing wrong here? Thanks!

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  • Java MVC project - either I can't update the drawing, or I can't see it

    - by user1881164
    I've got a project based around the Model-View-Controller paradigm, and I've been having a lot of trouble with getting it to work properly. The program has 4 panels, which are supposed to allow me to modify an oval drawn on the screen in various ways. These seem to work fine, and after considerable trouble I was able to get them to display in the JFrame which holds the whole shebang. I've managed to get them to display by breaking away from the provided instructions, but when I do that, I can't seem to get the oval to update. However, if I follow the directions to the letter, I only ever see an empty frame. The project had pretty specific directions, which I followed up to a point, but some of the documentation was unclear. I think what I'm missing must be something simple, since nothing is jumping out at me as not making sense. I have to admit though that my Java experience is limited and my experience with GUI design/paradigms is even more so. Anyway, I've been searching the web and this site extensively trying to figure out what's wrong, but this is a somewhat specific example and honestly I just don't know enough about this to generalize any of the answers I've found online and figure out what's missing. I've been poring over this code for far too long now so I'm really hoping someone can help me out. public class Model { private Controller controller; private View view; private MvcFrame mvcFrame; private int radius = 44; private Color color = Color.BLUE; private boolean solid = true; //bunch of mutators and accessors for the above variables public Model() { controller = new Controller(this); view = new View(this); mvcFrame = new MvcFrame(this); } } Here's the model class. This seems to be fairly simple. I think my understanding of what's going on here is solid, and nothing seems to be wrong. Included mostly for context. public class Controller extends JPanel{ private Model model; public Controller(Model model) { this.model = model; setBorder(BorderFactory.createLineBorder(Color.GREEN)); setLayout(new GridLayout(4,1)); add(new RadiusPanel(model)); add(new ColorPanel(model)); add(new SolidPanel(model)); add(new TitlePanel(model)); } } This is the Controller class. As far as I can tell, the setBorder, setLayout, and series of adds do nothing here. I had them commented out, but this is the way that the instructions told me to do things, so either there's a mistake there or something about my setup is wrong. However, when I did it this way, I would get an empty window (JFrame) but none of the panels would show up in it. What I did to fix this is put those add functions in the mvcFrame class: public class MvcFrame extends JFrame { private Model model; public MvcFrame(Model model){ this.model = model; //setLayout(new GridLayout(4,1)); //add(new RadiusPanel(model)); //add(new ColorPanel(model)); //add(new SolidPanel(model)); //add(new TitlePanel(model)); //add(new View(model)); setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); setLocationRelativeTo(null); setSize(800,600); setVisible(true); } } So here's where things kind of started getting weird. The first block of commented out code is the same as what's in the Controller class. The reason I have it commented out is because that was just a lucky guess - it's not supposed to be like that according to the instructions. However, this did work for getting the panels to show up - but at that point I was still tearing my hair out trying to get the oval to display. The other commented line ( add(new View(model)); ) was a different attempt at making things work. In this case, I put those add functions in the View class (see commented out code below). This actually worked to display both the oval and the panels, but that method wouldn't allow me to update the oval. Also, though I just had the oval displaying, I can't seem to figure out what exactly made that happen, and I can't seem to make it come back. public class View extends JPanel{ private Model model; public View(Model model) { this.model = model; //setLayout(new GridLayout(4,1)); //add(new RadiusPanel(model)); //add(new ColorPanel(model)); //add(new SolidPanel(model)); //add(new TitlePanel(model)); repaint(); } @Override protected void paintComponent(Graphics g){ super.paintComponent(g); //center of view panel, in pixels: int xCenter = getWidth()/2; int yCenter = getHeight()/2; int radius = model.getRadius(); int xStart = xCenter - radius; int yStart = yCenter - radius; int xWidth = 2 * radius; int yHeight = 2 * radius; g.setColor(model.getColor()); g.clearRect(0, 0, getWidth(), getHeight()); if (model.isSolid()){ g.fillOval(xStart, yStart, xWidth, yHeight); } else { g.drawOval(xStart, yStart, xWidth, yHeight); } } } Kinda same idea as before - the commented out code is stuff I added to try to get things working, but is not based on the provided directions. In the case where that stuff was uncommented, I had the add(new View(model)); line from the mvcFrame line uncommented as well. The various panel classes (SolidPanel, ColorPanel, etc) simply extend a class called ControlPanel which extends JPanel. These all seem to work as expected, not having much issue with them. There is also a driver which launches the GUI. This also seems to work as expected. The main problem I'm having is that I can't get the oval to show up, and the one time I could make it show up, none of the options for changing it seemed to work. I feel like I'm close but I'm just at a loss for other things to try out at this point. Anyone who can help will have my sincerest gratitude.

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  • Apache segfault glibc segfault

    - by tester
    I keep getting (about every 5-6 hours) this segfault in apache: [Tue Jun 26 12:43:10 2012] [notice] child pid 26810 exit signal Aborted (6) *** glibc detected *** /usr/sbin/apache2: free(): invalid pointer: 0xb68c2628 *** ======= Backtrace: ========= /lib/i386-linux-gnu/libc.so.6(+0x6ff22)[0xb75aef22] /lib/i386-linux-gnu/libc.so.6(+0x70bc2)[0xb75afbc2] /lib/i386-linux-gnu/libc.so.6(cfree+0x6d)[0xb75b2cad] /usr/lib/apache2/modules/libphp5.so(destroy_zend_class+0x228)[0xb5d40518] /usr/lib/apache2/modules/libphp5.so(zend_hash_clean+0x77)[0xb5d58957] /usr/lib/php5/220100525+lfs/apc.so(apc_interned_strings_shutdown+0x32)[0xb64930b2] /usr/lib/apache2/modules/libphp5.so(+0x318ff0)[0xb5d56ff0] /usr/lib/apache2/modules/libphp5.so(zend_hash_graceful_reverse_destroy+0x27)[0xb5d58a67] /usr/lib/apache2/modules/libphp5.so(zend_destroy_modules+0x3c)[0xb5d506cc] /usr/lib/apache2/modules/libphp5.so(+0x30c743)[0xb5d4a743] /usr/lib/apache2/modules/libphp5.so(php_module_shutdown+0x42)[0xb5ce5172] /usr/lib/apache2/modules/libphp5.so(php_module_shutdown_wrapper+0x17)[0xb5ce5257] /usr/lib/apache2/modules/libphp5.so(+0x3bebe1)[0xb5dfcbe1] /usr/lib/libapr-1.so.0(+0x19846)[0xb76f2846] /usr/lib/libapr-1.so.0(apr_pool_destroy+0x52)[0xb76f19ec] /usr/sbin/apache2(+0x4ccee)[0xb77eccee] ======= Memory map: ======== b2e18000-b2e2c000 rw-s 00000000 00:04 8841030 /dev/zero (deleted) b2e2c000-b2eaa000 rw-s 00000000 00:04 8841029 /dev/zero (deleted) b2eaa000-b2eab000 ---p 00000000 00:00 0 b2eab000-b36ab000 rw-p 00000000 00:00 0 b5900000-b5921000 rw-p 00000000 00:00 0 b5921000-b5a00000 ---p 00000000 00:00 0 b5a3e000-b60bd000 r-xp 00000000 ca:00 44137 /usr/lib/apache2/modules/libphp5.so b60bd000-b611e000 r--p 0067f000 ca:00 44137 /usr/lib/apache2/modules/libphp5.so b611e000-b6123000 rw-p 006e0000 ca:00 44137 /usr/lib/apache2/modules/libphp5.so b6123000-b6142000 rw-p 00000000 00:00 0 b6142000-b6147000 r-xp 00000000 ca:00 24570 /lib/i386-linux-gnu/libnss_dns-2.13.so b6147000-b6148000 r--p 00004000 ca:00 24570 /lib/i386-linux-gnu/libnss_dns-2.13.so b6148000-b6149000 rw-p 00005000 ca:00 24570 /lib/i386-linux-gnu/libnss_dns-2.13.so b6149000-b6175000 rw-p 00000000 00:00 0 b6175000-b6180000 r-xp 00000000 ca:00 24572 /lib/i386-linux-gnu/libnss_files-2.13.so b6180000-b6181000 r--p 0000a000 ca:00 24572 /lib/i386-linux-gnu/libnss_files-2.13.so b6181000-b6182000 rw-p 0000b000 ca:00 24572 /lib/i386-linux-gnu/libnss_files-2.13.so b6182000-b618c000 r-xp 00000000 ca:00 24576 /lib/i386-linux-gnu/libnss_nis-2.13.so b618c000-b618d000 r--p 00009000 ca:00 24576 /lib/i386-linux-gnu/libnss_nis-2.13.so b618d000-b618e000 rw-p 0000a000 ca:00 24576 /lib/i386-linux-gnu/libnss_nis-2.13.so b618e000-b6196000 r-xp 00000000 ca:00 24562 /lib/i386-linux-gnu/libnss_compat-2.13.so b6196000-b6197000 r--p 00007000 ca:00 24562 /lib/i386-linux-gnu/libnss_compat-2.13.so b6197000-b6198000 rw-p 00008000 ca:00 24562 /lib/i386-linux-gnu/libnss_compat-2.13.so b6198000-b6270000 rw-p 00000000 00:00 0 b6270000-b6274000 rw-p 00000000 00:00 0 b6468000-b6474000 rw-p 00000000 00:00 0 b6475000-b6479000 rw-p 00000000 00:00 0 b6479000-b649a000 r-xp 00000000 ca:00 65670 /usr/lib/php5/220100525+lfs/apc.so b649a000-b649b000 r--p 00021000 ca:00 65670 /usr/lib/php5/220100525+lfs/apc.so b649b000-b649c000 rw-p 00022000 ca:00 65670 /usr/lib/php5/220100525+lfs/apc.so b649c000-b64a1000 rw-p 00000000 00:00 0 b64a1000-b64a6000 rw-p 00000000 00:00 0 b64a7000-b64aa000 rw-p 00000000 00:00 0 b64aa000-b64af000 rw-p 00000000 00:00 0 b64b0000-b64b3000 rw-p 00000000 00:00 0 b64bf000-b64c4000 rw-p 00000000 00:00 0 b64c4000-b64c9000 rw-p 00000000 00:00 0 b64c9000-b64cc000 rw-p 00000000 00:00 0 b64cd000-b64cf000 rw-p 00000000 00:00 0 b64ea000-b64fd000 r-xp 00000000 ca:00 24598 /lib/i386-linux-gnu/libresolv-2.13.so b64fd000-b64fe000 r--p 00012000 ca:00 24598 /lib/i386-linux-gnu/libresolv-2.13.so b64fe000-b64ff000 rw-p 00013000 ca:00 24598 /lib/i386-linux-gnu/libresolv-2.13.so b64ff000-b6501000 rw-p 00000000 00:00 0 b650e000-b652a000 r-xp 00000000 ca:00 22450 /lib/i386-linux-gnu/libgcc_s.so.1 b652a000-b652b000 r--p 0001b000 ca:00 22450 /lib/i386-linux-gnu/libgcc_s.so.1 b652b000-b652c000 rw-p 0001c000 ca:00 22450 /lib/i386-linux-gnu/libgcc_s.so.1 b652c000-b6534000 rw-p 00000000 00:00 0 b65dd000-b65df000 rw-p 00000000 00:00 0 b67ad000-b67c2000 r-xp 00000000 ca:00 22063 /lib/i386-linux-gnu/libnsl-2.13.so b67c2000-b67c3000 r--p 00015000 ca:00 22063 /lib/i386-linux-gnu/libnsl-2.13.so b67c3000-b67c4000 rw-p 00016000 ca:00 22063 /lib/i386-linux-gnu/libnsl-2.13.so b67c4000-b67c6000 rw-p 00000000 00:00 0 b67c6000-b67ee000 r-xp 00000000 ca:00 21904 /lib/i386-linux-gnu/libm-2.13.so b67ee000-b67ef000 r--p 00028000 ca:00 21904 /lib/i386-linux-gnu/libm-2.13.so b67ef000-b67f0000 rw-p 00029000 ca:00 21904 /lib/i386-linux-gnu/libm-2.13.so b67f0000-b67f7000 r-xp 00000000 ca:00 24600 /lib/i386-linux-gnu/librt-2.13.so b67f7000-b67f8000 r--p 00006000 ca:00 24600 /lib/i386-linux-gnu/librt-2.13.so b67f8000-b67f9000 rw-p 00007000 ca:00 24600 /lib/i386-linux-gnu/librt-2.13.so b6886000-b69af000 rw-p 00000000 00:00 0 b69af000-b6b3c000 r-xp 00000000 ca:00 23592 /lib/i386-linux-gnu/libcrypto.so.1.0.0 b6b3c000-b6b4a000 r--p 0018d000 ca:00 23592 /lib/i386-linux-gnu/libcrypto.so.1.0.0 b6b4a000-b6b50000 rw-p 0019b000 ca:00 23592 /lib/i386-linux-gnu/libcrypto.so.1.0.0 b6b50000-b6b53000 rw-p 00000000 00:00 0 b6b53000-b6b9b000 r-xp 00000000 ca:00 23621 /lib/i386-linux-gnu/libssl.so.1.0.0 b6b9b000-b6b9d000 r--p 00047000 ca:00 23621 /lib/i386-linux-gnu/libssl.so.1.0.0 b6b9d000-b6ba0000 rw-p 00049000 ca:00 23621 /lib/i386-linux-gnu/libssl.so.1.0.0 b6ba0000-b6c7e000 r-xp 00000000 ca:00 9878 /usr/lib/i386-linux-gnu/libstdc++.so.6.0.16 b6c7e000-b6c7f000 ---p 000de000 ca:00 9878 /usr/lib/i386-linux-gnu/libstdc++.so.6.0.16 b6c7f000-b6c83000 r--p 000de000 ca:00 9878 /usr/lib/i386-linux-gnu/libstdc++.so.6.0.16 b6c83000-b6c84000 rw-p 000e2000 ca:00 9878 /usr/lib/i386-linux-gnu/libstdc++.so.6.0.16 b6c84000-b6c8b000 rw-p 00000000 00:00 0 b6c93000-b6cd4000 rw-p 00000000 00:00 0 b6cd4000-b6ce0000 rw-p 00000000 00:00 0 b6cea000-b6cef000 r-xp 00000000 ca:00 45178 /usr/lib/apache2/modules/mod_status.so b6cef000-b6cf0000 r--p 00004000 ca:00 45178 /usr/lib/apache2/modules/mod_status.so b6cf0000-b6cf1000 rw-p 00005000 ca:00 45178 /usr/lib/apache2/modules/mod_status.so b6cf1000-b6d19000 r-xp 00000000 ca:00 45175 /usr/lib/apache2/modules/mod_ssl.so b6d19000-b6d1a000 ---p 00028000 ca:00 45175 /usr/lib/apache2/modules/mod_ssl.so b6d1a000-b6d1b000 r--p 00028000 ca:00 45175 /usr/lib/apache2/modules/mod_ssl.so b6d1b000-b6d1c000 rw-p 00029000 ca:00 45175 /usr/lib/apache2/modules/mod_ssl.so b6d1c000-b6d1e000 rw-p 00000000 00:00 0 b6d1e000-b6d20000 r-xp 00000000 ca:00 45166 /usr/lib/apache2/modules/mod_setenvif.so b6d20000-b6d21000 r--p 00001000 ca:00 45166 /usr/lib/apache2/modules/mod_setenvif.so b6d21000-b6d22000 rw-p 00002000 ca:00 45166 /usr/lib/apache2/modules/mod_setenvif.so b6d22000-b6d30000 r-xp 00000000 ca:00 45195 /usr/lib/apache2/modules/mod_rewrite.so b6d30000-b6d31000 r--p 0000e000 ca:00 45195 /usr/lib/apache2/modules/mod_rewrite.so b6d31000-b6d32000 rw-p 0000f000 ca:00 45195 /usr/lib/apache2/modules/mod_rewrite.so b6d32000-b6d45000 r-xp 00000000 ca:00 45168 /usr/lib/apache2/modules/mod_proxy.so b6d45000-b6d46000 r--p 00012000 ca:00 45168 /usr/lib/apache2/modules/mod_proxy.so b6d46000-b6d47000 rw-p 00013000 ca:00 45168 /usr/lib/apache2/modules/mod_proxy.so b6d47000-b6d4e000 r-xp 00000000 ca:00 9904 /usr/lib/i386-linux-gnu/libkrb5support.so.0.1 b6d4e000-b6d4f000 r--p 00006000 ca:00 9904 /usr/lib/i386-linux-gnu/libkrb5support.so.0.1 b6d4f000-b6d50000 rw-p 00007000 ca:00 9904 /usr/lib/i386-linux-gnu/libkrb5support.so.0.1 b6d50000-b6e97000 r-xp 00000000 ca:00 3416 /usr/lib/libxml2.so.2.7.8 b6e97000-b6e9b000 r--p 00147000 ca:00 3416 /usr/lib/libxml2.so.2.7.8 b6e9b000-b6e9c000 rw-p 0014b000 ca:00 3416 /usr/lib/libxml2.so.2.7.8 b6e9c000-b6e9d000 rw-p 00000000 00:00 0 b6e9d000-b6ec4000 r-xp 00000000 ca:00 12282 /usr/lib/i386-linux-gnu/libk5crypto.so.3.1 b6ec4000-b6ec5000 r--p 00026000 ca:00 12282 /usr/lib/i386-linux-gnu/libk5crypto.so.3.1 b6ec5000-b6ec6000 rw-p 00027000 ca:00 12282 /usr/lib/i386-linux-gnu/libk5crypto.so.3.1 b6ec6000-b6f88000 r-xp 00000000 ca:00 13335 /usr/lib/i386-linux-gnu/libkrb5.so.3.3 b6f88000-b6f8e000 r--p 000c1000 ca:00 13335 /usr/lib/i386-linux-gnu/libkrb5.so.3.3 b6f8e000-b6f8f000 rw-p 000c7000 ca:00 13335 /usr/lib/i386-linux-gnu/libkrb5.so.3.3 b6f8f000-b6fca000 r-xp 00000000 ca:00 9854 /usr/lib/i386-linux-gnu/libgssapi_krb5.so.2.2 b6fca000-b6fcb000 ---p 0003b000 ca:00 9854 /usr/lib/i386-linux-gnu/libgssapi_krb5.so.2.2 b6fcb000-b6fcc000 r--p 0003b000 ca:00 9854 /usr/lib/i386-linux-gnu/libgssapi_krb5.so.2.2 b6fcc000-b6fcd000 rw-p 0003c000 ca:00 9854 /usr/lib/i386-linux-gnu/libgssapi_krb5.so.2.2 b6fcd000-b6fdc000 r-xp 00000000 ca:00 21797 /lib/libbz2.so.1.0.4 b6fdc000-b6fdd000 r--p 0000e000 ca:00 21797 /lib/libbz2.so.1.0.4 b6fdd000-b6fde000 rw-p 0000f000 ca:00 21797 /lib/libbz2.so.1.0.4 b6fde000-b702a000 r-xp 00000000 ca:00 2505 /usr/lib/libqdbm.so.14.13.0 b702a000-b702b000 r--p 0004c000 ca:00 2505 /usr/lib/libqdbm.so.14.13.0 b702b000-b702c000 rw-p 0004d000 ca:00 2505 /usr/lib/libqdbm.so.14.13.0 b702c000-b71aa000 r-xp 00000000 ca:00 10201 /usr/lib/i386-linux-gnu/libdb-4.8.so b71aa000-b71ac000 r--p 0017d000 ca:00 10201 /usr/lib/i386-linux-gnu/libdb-4.8.so b71ac000-b71ad000 rw-p 0017f000 ca:00 10201 /usr/lib/i386-linux-gnu/libdb-4.8.so b71ad000-b71f7000 r-xp 00000000 ca:00 23521 /lib/libssl.so.0.9.8 b71f7000-b71f8000 r--p 0004a000 ca:00 23521 /lib/libssl.so.0.9.8 b71f8000-b71fb000 rw-p 0004b000 ca:00 23521 /lib/libssl.so.0.9.8 b71fb000-b7359000 r-xp 00000000 ca:00 835379 /lib/libcrypto.so.0.9.8 b7359000-b735a000 ---p 0015e000 ca:00 835379 /lib/libcrypto.so.0.9.8 b735a000-b7362000 r--p 0015e000 ca:00 835379 /lib/libcrypto.so.0.9.8 b7362000-b7371000 rw-p 00166000 ca:00 835379 /lib/libcrypto.so.0.9.8 b7371000-b7374000 rw-p 00000000 00:00 0 b7374000-b73ba000 r-xp 00000000 ca:00 2503 /usr/lib/libonig.so.2.0.0 b73ba000-b73bd000 rw-p 00045000 ca:00 2503 /usr/lib/libonig.so.2.0.0 b73be000-b73c0000 rw-p 00000000 00:00 0 b73c0000-b73c7000 r-xp 00000000 ca:00 45171 /usr/lib/apache2/modules/mod_proxy_http.so b73c7000-b73c8000 r--p 00006000 ca:00 45171 /usr/lib/apache2/modules/mod_proxy_http.so b73c8000-b73c9000 rw-p 00007000 ca:00 45171 /usr/lib/apache2/modules/mod_proxy_http.so b73c9000-b73dc000 r-xp 00000000 ca:00 22461 /lib/i386-linux-gnu/libz.so.1.2.3.4 b73dc000-b73dd000 r--p 00012000 ca:00 22461 /lib/i386-linux-gnu/libz.so.1.2.3.4 b73dd000-b73de000 rw-p 00013000 ca:00 22461 /lib/i386-linux-gnu/libz.so.1.2.3.4 b73de000-b73e3000 rw-p 00000000 00:00 0 b73e3000-b73ea000 r-xp 00000000 ca:00 45188 /usr/lib/apache2/modules/mod_negotiation.so b73ea000-b73eb000 r--p 00006000 ca:00 45188 /usr/lib/apache2/modules/mod_negotiation.so b73eb000-b73ec000 rw-p 00007000 ca:00 45188 /usr/lib/apache2/modules/mod_negotiation.so b73ec000-b73f1000 rw-p 00000000 00:00 0 b73f2000-b73f5000 r-xp 00000000 ca:00 45149 /usr/lib/apache2/modules/mod_reqtimeout.so b73f5000-b73f6000 r--p 00002000 ca:00 45149 /usr/lib/apache2/modules/mod_reqtimeout.so b73f6000-b73f7000 rw-p 00003000 ca:00 45149 /usr/lib/apache2/modules/mod_reqtimeout.so b73f7000-b73fc000 rw-p 00000000 00:00 0 b73fc000-b73fe000 rw-p 00000000 00:00 0 b73fe000-b7400000 r-xp 00000000 ca:00 22437 /lib/i386-linux-gnu/libkeyutils.so.1.3 b7400000-b7401000 r--p 00001000 ca:00 22437 /lib/i386-linux-gnu/libkeyutils.so.1.3 b7401000-b7402000 rw-p 00002000 ca:00 22437 /lib/i386-linux-gnu/libkeyutils.so.1.3 b7402000-b7407000 rw-p 00000000 00:00 0 b7407000-b7409000 r-xp 00000000 ca:00 22344 /lib/i386-linux-gnu/libcom_err.so.2.1 b7409000-b740a000 r--p 00001000 ca:00 22344 /lib/i386-linux-gnu/libcom_err.so.2.1 b740a000-b740b000 rw-p 00002000 ca:00 22344 /lib/i386-linux-gnu/libcom_err.so.2.1 b740b000-b7410000 rw-p 00000000 00:00 0 b7411000-b7413000 rw-p 00000000 00:00 0 b7413000-b7416000 rw-p 00000000 00:00 0 b7416000-b7418000 rw-p 00000000 00:00 0 b7418000-b741c000 r-xp 00000000 ca:00 45176 /usr/lib/apache2/modules/mod_mime.so b741c000-b741d000 r--p 00003000 ca:00 45176 /usr/lib/apache2/modules/mod_mime.so b741d000-b741e000 rw-p 00004000 ca:00 45176 /usr/lib/apache2/modules/mod_mime.so b741e000-b7422000 r-xp 00000000 ca:00 45162 /usr/lib/apache2/modules/mod_headers.so b7422000-b7423000 r--p 00003000 ca:00 45162 /usr/lib/apache2/modules/mod_headers.so b7423000-b7424000 rw-p 00004000 ca:00 45162 /usr/lib/apache2/modules/mod_headers.so b7424000-b7426000 r-xp 00000000 ca:00 45161 /usr/lib/apache2/modules/mod_expires.so b7426000-b7427000 r--p 00001000 ca:00 45161 /usr/lib/apache2/modules/mod_expires.so b7427000-b7428000 rw-p 00002000 ca:00 45161 /usr/lib/apache2/modules/mod_expires.so b7428000-b742a000 r-xp 00000000 ca:00 45189 /usr/lib/apache2/modules/mod_dir.so b742a000-b742b000 r--p 00001000 ca:00 45189 /usr/lib/apache2/modules/mod_dir.so b742b000-b742c000 rw-p 00002000 ca:00 45189 /usr/lib/apache2/modules/mod_dir.so b742c000-b742e000 rw-p 00000000 00:00 0 b742f000-b7430000 r-xp 00000000 ca:00 45158 /usr/lib/apache2/modules/mod_env.so b7430000-b7431000 r--p 00000000 ca:00 45158 /usr/lib/apache2/modules/mod_env.so b7431000-b7432000 rw-p 00001000 ca:00 45158 /usr/lib/apache2/modules/mod_env.so b7432000-b7437000 rw-p 00000000 00:00 0 b7437000-b743c000 r-xp 00000000 ca:00 45155 /usr/lib/apache2/modules/mod_deflate.so b743c000-b743d000 r--p 00004000 ca:00 45155 /usr/lib/apache2/modules/mod_deflate.so b743d000-b743e000 rw-p 00005000 ca:00 45155 /usr/lib/apache2/modules/mod_deflate.so b743e000-b7443000 rw-p 00000000 00:00 0 b7443000-b7448000 r-xp 00000000 ca:00 45184 /usr/lib/apache2/modules/mod_cgi.so b7448000-b7449000 r--p 00004000 ca:00 45184 /usr/lib/apache2/modules/mod_cgi.so b7449000-b744a000 rw-p 00005000 ca:00 45184 /usr/lib/apache2/modules/mod_cgi.so b744a000-b744f000 rw-p 00000000 00:00 0 b744f000-b7457000 r-xp 00000000 ca:00 45179 /usr/lib/apache2/modules/mod_autoindex.so b7457000-b7458000 r--p 00007000 ca:00 45179 /usr/lib/apache2/modules/mod_autoindex.so b7458000-b7459000 rw-p 00008000 ca:00 45179 /usr/lib/apache2/modules/mod_autoindex.so b7459000-b745e000 rw-p 00000000 00:00 0 b745e000-b745f000 r-xp 00000000 ca:00 45136 /usr/lib/apache2/modules/mod_authz_user.so b745f000-b7460000 r--p 00000000 ca:00 45136 /usr/lib/apache2/modules/mod_authz_user.so b7460000-b7461000 rw-p 00001000 ca:00 45136 /usr/lib/apache2/modules/mod_authz_user.so b7461000-b7466000 rw-p 00000000 00:00 0 b7466000-b7468000 r-xp 00000000 ca:00 45134 /usr/lib/apache2/modules/mod_authz_host.so b7468000-b7469000 r--p 00001000 ca:00 45134 /usr/lib/apache2/modules/mod_authz_host.so b7469000-b746a000 rw-p 00002000 ca:00 45134 /usr/lib/apache2/modules/mod_authz_host.so b746a000-b746f000 rw-p 00000000 00:00 0 b746f000-b7471000 r-xp 00000000 ca:00 45135 /usr/lib/apache2/modules/mod_authz_groupfile.so b7471000-b7472000 r--p 00001000 ca:00 45135 /usr/lib/apache2/modules/mod_authz_groupfile.so b7472000-b7473000 rw-p 00002000 ca:00 45135 /usr/lib/apache2/modules/mod_authz_groupfile.so b7473000-b7478000 rw-p 00000000 00:00 0 b7478000-b7479000 r-xp 00000000 ca:00 45140 /usr/lib/apache2/modules/mod_authz_default.so b7479000-b747a000 r--p 00000000 ca:00 45140 /usr/lib/apache2/modules/mod_authz_default.so b747a000-b747b000 rw-p 00001000 ca:00 45140 /usr/lib/apache2/modules/mod_authz_default.so b747b000-b7480000 rw-p 00000000 00:00 0 b7480000-b7481000 r-xp 00000000 ca:00 44436 /usr/lib/apache2/modules/mod_authn_file.so b7481000-b7482000 ---p 00001000 ca:00 44436 /usr/lib/apache2/modules/mod_authn_file.so b7482000-b7483000 r--p 00001000 ca:00 44436 /usr/lib/apache2/modules/mod_authn_file.so b7483000-b7484000 rw-p 00002000 ca:00 44436 /usr/lib/apache2/modules/mod_authn_file.so b7484000-b7489000 rw-p 00000000 00:00 0 b7489000-b748b000 r-xp 00000000 ca:00 45141 /usr/lib/apache2/modules/mod_auth_basic.so b748b000-b748c000 r--p 00001000 ca:00 45141 /usr/lib/apache2/modules/mod_auth_basic.so b748c000-b748d000 rw-p 00002000 ca:00 45141 /usr/lib/apache2/modules/mod_auth_basic.so b748d000-b7492000 rw-p 00000000 00:00 0 b7492000-b7495000 r-xp 00000000 ca:00 45194 /usr/lib/apache2/modules/mod_alias.so b7495000-b7496000 r--p 00002000 ca:00 45194 /usr/lib/apache2/modules/mod_alias.so b7496000-b7497000 rw-p 00003000 ca:00 45194 /usr/lib/apache2/modules/mod_alias.so b7497000-b74d8000 rw-p 00000000 00:00 0 b74d8000-b74db000 r-xp 00000000 ca:00 21902 /lib/i386-linux-gnu/libdl-2.13.so b74db000-b74dc000 r--p 00002000 ca:00 21902 /lib/i386-linux-gnu/libdl-2.13.so b74dc000-b74dd000 rw-p 00003000 ca:00 21902 /lib/i386-linux-gnu/libdl-2.13.so b74dd000-b74de000 rw-p 00000000 00:00 0 b74de000-b74e2000 r-xp 00000000 ca:00 22401 /lib/i386-linux-gnu/libuuid.so.1.3.0 b74e2000-b74e3000 r--p 00003000 ca:00 22401 /lib/i386-linux-gnu/libuuid.so.1.3.0 b74e3000-b74e4000 rw-p 00004000 ca:00 22401 /lib/i386-linux-gnu/libuuid.so.1.3.0 b74e4000-b750a000 r-xp 00000000 ca:00 22420 /lib/i386-linux-gnu/libexpat.so.1.5.2 b750a000-b750b000 ---p 00026000 ca:00 22420 /lib/i386-linux-gnu/libexpat.so.1.5.2 b750b000-b750d000 r--p 00026000 ca:00 22420 /lib/i386-linux-gnu/libexpat.so.1.5.2 b750d000-b750e000 rw-p 00028000 ca:00 22420 /lib/i386-linux-gnu/libexpat.so.1.5.2 b750e000-b7516000 r-xp 00000000 ca:00 21889 /lib/i386-linux-gnu/libcrypt-2.13.so b7516000-b7517000 r--p 00007000 ca:00 21889 /lib/i386-linux-gnu/libcrypt-2.13.so b7517000-b7518000 rw-p 00008000 ca:00 21889 /lib/i386-linux-gnu/libcrypt-2.13.so b7518000-b753f000 rw-p 00000000 00:00 0 b753f000-b76b7000 r-xp 00000000 ca:00 21864 /lib/i386-linux-gnu/libc-2.13.so b76b7000-b76b9000 r--p 00178000 ca:00 21864 /lib/i386-linux-gnu/libc-2.13.so b76b9000-b76ba000 rw-p 0017a000 ca:00 21864 /lib/i386-linux-gnu/libc-2.13.so b76ba000-b76bd000 rw-p 00000000 00:00 0 b76bd000-b76d4000 r-xp 00000000 ca:00 24594 /lib/i386-linux-gnu/libpthread-2.13.so b76d4000-b76d5000 r--p 00016000 ca:00 24594 /lib/i386-linux-gnu/libpthread-2.13.so b76d5000-b76d6000 rw-p 00017000 ca:00 24594 /lib/i386-linux-gnu/libpthread-2.13.so b76d6000-b76d9000 rw-p 00000000 00:00 0 b76d9000-b770c000 r-xp 00000000 ca:00 6233 /usr/lib/libapr-1.so.0.4.5 b770c000-b770d000 r--p 00032000 ca:00 6233 /usr/lib/libapr-1.so.0.4.5 b770d000-b770e000 rw-p 00033000 ca:00 6233 /usr/lib/libapr-1.so.0.4.5 b770e000-b772f000 r-xp 00000000 ca:00 6236 /usr/lib/libaprutil-1.so.0.3.12 b772f000-b7730000 r--p 00020000 ca:00 6236 /usr/lib/libaprutil-1.so.0.3.12 b7730000-b7731000 rw-p 00021000 ca:00 6236 /usr/lib/libaprutil-1.so.0.3.12 b7731000-b776e000 r-xp 00000000 ca:00 22336 /lib/i386-linux-gnu/libpcre.so.3.12.1 b776e000-b776f000 r--p 0003c000 ca:00 22336 /lib/i386-linux-gnu/libpcre.so.3.12.1 b776f000-b7770000 rw-p 0003d000 ca:00 22336 /lib/i386-linux-gnu/libpcre.so.3.12.1 b7770000-b7780000 rw-p 00000000 00:00 0 b7780000-b779e000 r-xp 00000000 ca:00 21844 /lib/i386-linux-gnu/ld-2.13.so b779e000-b779f000 r--p 0001d000 ca:00 21844 /lib/i386-linux-gnu/ld-2.13.so b779f000-b77a0000 rw-p 0001e000 ca:00 21844 /lib/i386-linux-gnu/ld-2.13.so b77a0000-b7803000 r-xp 00000000 ca:00 44432 /usr/lib/apache2/mpm-prefork/apache2 b7803000-b7805000 r--p 00063000 ca:00 44432 /usr/lib/apache2/mpm-prefork/apache2 b7805000-b7807000 rw-p 00065000 ca:00 44432 /usr/lib/apache2/mpm-prefork/apache2 b7807000-b780a000 rw-p 00000000 00:00 0 b7a17000-b7a55000 rw-p 00000000 00:00 0 [heap] b7a55000-b7b9f000 rw-p 00000000 00:00 0 [heap] b7b9f000-b7c1a000 rw-p 00000000 00:00 0 [heap] bf9a1000-bf9c2000 rw-p 00000000 00:00 0 [stack] f57fe000-f57ff000 r-xp 00000000 00:00 0 [vdso] [Tue Jun 26 13:15:10 2012] [notice] child pid 26840 exit signal Aborted (6) Sometimes it recovers, but sometimes it kills the server. It's unclear to me what glibc is doing to crash.. can anyone decipher what's crashing in this error log?

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