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• In Which We Demystify A Few Docupresentment Settings And Learn the Ethos of the Author

  - by Andy Little

  It's no secret that Docupresentment (part of the Oracle Documaker suite) is powerful tool for integrating on-demand and interactive applications for publishing with the Oracle Documaker framework.  It's also no secret there are are many details with respect to the configuration of Docupresentment that can elude even the most erudite of of techies.  To be sure, Docupresentment will work for you right out of the box, and in most cases will suit your needs without toying with a configuration file.  But, where's the adventure in that?   With this inaugural post to That's The Way, I'm going to introduce myself, and what my aim is with this blog.  If you didn't figure it out already by checking out my profile, my name is Andy and I've been with Oracle (nee Skywire Software nee Docucorp nee Formmaker) since the formative years of 1998.  Strangely, it doesn't seem that long ago, but it's certainly a lifetime in the age of technology.  I recall running a BBS from my parent's basement on a 1200 baud modem, and the trepidation and sweaty-palmed excitement of upgrading to the power and speed of 2400 baud!  Fine, I'll admit that perhaps I'm inflating the experience a bit, but I was kid!  This is the stuff of War Games and King's Quest I and the demise of TI-99 4/A.  Exciting times.  So fast-forward a bit and I'm 12 years into a career in the world of document automation and publishing working for the best (IMHO) software company on the planet.  With That's The Way I hope to shed a little light and peek under the covers of some of the more interesting aspects of implementations involving the tech space within the Oracle Insurance Global Business Unit (IGBU), which includes Oracle Documaker, Rating & Underwriting, and Policy Administration to name a few.  I may delve off course a bit, and you'll likely get a dose of humor (at least in my mind) but I hope you'll glean at least a tidbit of usefulness with each post.  Feel free to comment as I'm a fairly conversant guy and happy to talk -- it's stopping the talking that's the hard part... So, back to our regularly-scheduled post, already in progress.  By this time you've visited Oracle's E-Delivery site and acquired your properly-licensed version of Oracle Documaker.  Wait -- you didn't find it?  Understandable -- navigating the voluminous download library within Oracle can be a daunting task.  It's pretty simple once you’ve done it a few times.  Login to the e-delivery site, and accept the license terms and restrictions.  Then, you’ll be able to select the Oracle Insurance Applications product pack and your appropriate platform. Click Go and you’ll see a list of applicable products, and you’ll click on Oracle Documaker Media Pack (as I went to press with this article the version is 11.4): Finally, click the Download button next to Docupresentment (again, version at press time is 2.2 p5). This should give you a ZIP file that contains the installation packages for the Docupresentment Server and Client, cryptically named IDSServer22P05W32.exe and IDSClient22P05W32.exe. At this time, I’d like to take a little detour and explain that the world of Oracle, like most technical companies, is rife with acronyms.  One of the reasons Skywire Software was a appealing to Oracle was our use of many acronyms, including the occasional use of multiple acronyms with the same meaning.  I apologize in advance and will try to point these out along the way.  Here’s your first sticky note to go along with that: IDS = Internet Document Server = Docupresentment Once you’ve completed the installation, you’ll have a shiny new Docupresentment server and client, and if you installed the default location it will be living in c:\docserv. Unix users, I’m one of you!  You’ll find it by default in  ~/docupresentment/docserv.  Forging onward with the meat of this post is learning about some special configuration options.  By now you’ve read the documentation included with the download (specifically ids_book.pdf) which goes into some detail of the rubric of the configuration file and in fact there’s even a handy utility that provides an interface to the configuration file (see Running IDSConfig in the documentation).  But who wants to deal with a configuration utility when we have the tools and technology to edit the file <gasp> by hand! I shall now proceed with the standard Information Technology Under the Hood Disclaimer: Please remember to back up any files before you make changes.  I am not responsible for any havoc you may wreak! Go to your installation directory, and locate your docserv.xml file.  Open it in your favorite XML editor.  I happen to be fond of Notepad++ with the XML Tools plugin.  Almost immediately you will behold the splendor of the configuration file.  Just take a moment and let that sink in.  Ok – moving on.  If you reviewed the documentation you know that inside the root <configuration> node there are multiple <section> nodes, each containing a specific group of settings.  Let’s take a look at <section name=”DocumentServer”>: There are a few entries I’d like to discuss.  First, <entry name=”StartCommand”>. This should be pretty self-explanatory; it’s the name of the executable that’s run when you fire up Docupresentment.  Immediately following that is <entry name=”StartArguments”> and as you might imagine these are the arguments passed to the executable.  A few things to point out: The –Dids.configuration=docserv.xml parameter specifies the name of your configuration file. The –Dlogging.configuration=logconf.xml parameter specifies the name of your logging configuration file (this uses log4j so bone up on that before you delve here). The -Djava.endorsed.dirs=lib/endorsed parameter specifies the path where 3rd party Java libraries can be located for use with Docupresentment.  More on that in another post. The <entry name=”Instances”> allows you to specify the number of instances of Docupresentment that will be started.  By default this is two, and generally two instances per CPU is adequate, however you will always need to perform load testing to determine the sweet spot based on your hardware and types of transactions.  You may have many, many more instances than 2. Time for a sidebar on instances.  An instance is nothing more than a separate process of Docupresentment.  The Docupresentment service that you fire up with docserver.bat or docserver.sh actually starts a watchdog process, which is then responsible for starting up the actual Docupresentment processes.  Each of these act independently from one another, so if one crashes, it does not affect any others.  In the case of a crashed process, the watchdog will start up another instance so the number of configured instances are always running.  Bottom line: instance = Docupresentment process. And now, finally, to the settings which gave me pause on an not-too-long-ago implementation!  Docupresentment includes a feature that watches configuration files (such as docserv.xml and logconf.xml) and will automatically restart its instances to load the changes.  You can configure the time that Docupresentment waits to check these files using the setting <entry name=”FileWatchTimeMillis”>.  By default the number is 12000ms, or 12 seconds.  You can save yourself a few CPU cycles by extending this time, or by disabling  the check altogether by setting the value to 0.  This may or may not be appropriate for your environment; if you have 100% uptime requirements then you probably don’t want to bring down an entire set of processes just to accept a new configuration value, so it’s best to leave this somewhere between 12 seconds to a few minutes.  Another point to keep in mind: if you are using Documaker real-time processing under Docupresentment the Master Resource Library (MRL) files and INI options are cached, and if you need to affect a change, you’ll have to “restart” Docupresentment.  Touching the docserv.xml file is an easy way to do this (other methods including using the RSS request, but that’s another post). The next item up: <entry name=”FilePurgeTimeSeconds”>.  You may already know that the Docupresentment system can generate many temporary files based on certain request types that are processed through the system.  What you may not know is how those files are cleaned up.  There are many rules in Docupresentment that cause the creation of temporary files.  When these files are created, Docupresentment writes an entry into a properties file called the file cache.  This file contains the name, creation date, and expiration time of each temporary file created by each instance of Docupresentment.  Periodically Docupresentment will check the file cache to determine if there are files that are past the expiration time, not unlike that block of cheese festering away in the back of my refrigerator.  However, unlike my ‘fridge cleaning tendencies, Docupresentment is quick to remove files that are past their expiration time.  You, my friend, have the power to control how often Docupresentment inspects the file cache.  Simply set the value for <entry name=”FilePurgeTimeSeconds”> to the number of seconds appropriate for your requirements and you’re set.  Note that file purging happens on a separate thread from normal request processing, so this shouldn’t interfere with response times unless the CPU happens to be really taxed at the point of cache processing.  Finally, after all of this, we get to the final setting I’m going to address in this post: <entry name=”FilePurgeList”>.  The default is “filecache.properties”.  This establishes the root name for the Docupresentment file cache that I mentioned previously.  Docupresentment creates a separate cache file for each instance based on this setting.  If you have two instances, you’ll see two files created: filecache.properties.1 and filecache.properties.2.  Feel free to open these up and check them out. I hope you’ve enjoyed this first foray into the configuration file of Docupresentment.  If you did enjoy it, feel free to drop a comment, I welcome feedback.  If you have ideas for other posts you’d like to see, please do let me know.  You can reach me at [email protected]. ‘Til next time! ###

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• Table Variables: an empirical approach.

  - by Phil Factor

  It isn’t entirely a pleasant experience to publish an article only to have it described on Twitter as ‘Horrible’, and to have it criticized on the MVP forum. When this happened to me in the aftermath of publishing my article on Temporary tables recently, I was taken aback, because these critics were experts whose views I respect. What was my crime? It was, I think, to suggest that, despite the obvious quirks, it was best to use Table Variables as a first choice, and to use local Temporary Tables if you hit problems due to these quirks, or if you were doing complex joins using a large number of rows. What are these quirks? Well, table variables have advantages if they are used sensibly, but this requires some awareness by the developer about the potential hazards and how to avoid them. You can be hit by a badly-performing join involving a table variable. Table Variables are a compromise, and this compromise doesn’t always work out well. Explicit indexes aren’t allowed on Table Variables, so one cannot use covering indexes or non-unique indexes. The query optimizer has to make assumptions about the data rather than using column distribution statistics when a table variable is involved in a join, because there aren’t any column-based distribution statistics on a table variable. It assumes a reasonably even distribution of data, and is likely to have little idea of the number of rows in the table variables that are involved in queries. However complex the heuristics that are used might be in determining the best way of executing a SQL query, and they most certainly are, the Query Optimizer is likely to fail occasionally with table variables, under certain circumstances, and produce a Query Execution Plan that is frightful. The experienced developer or DBA will be on the lookout for this sort of problem. In this blog, I’ll be expanding on some of the tests I used when writing my article to illustrate the quirks, and include a subsequent example supplied by Kevin Boles. A simplified example. We’ll start out by illustrating a simple example that shows some of these characteristics. We’ll create two tables filled with random numbers and then see how many matches we get between the two tables. We’ll forget indexes altogether for this example, and use heaps. We’ll try the same Join with two table variables, two table variables with OPTION (RECOMPILE) in the JOIN clause, and with two temporary tables. It is all a bit jerky because of the granularity of the timing that isn’t actually happening at the millisecond level (I used DATETIME). However, you’ll see that the table variable is outperforming the local temporary table up to 10,000 rows. Actually, even without a use of the OPTION (RECOMPILE) hint, it is doing well. What happens when your table size increases? The table variable is, from around 30,000 rows, locked into a very bad execution plan unless you use OPTION (RECOMPILE) to provide the Query Analyser with a decent estimation of the size of the table. However, if it has the OPTION (RECOMPILE), then it is smokin’. Well, up to 120,000 rows, at least. It is performing better than a Temporary table, and in a good linear fashion. What about mixed table joins, where you are joining a temporary table to a table variable? You’d probably expect that the query analyzer would throw up its hands and produce a bad execution plan as if it were a table variable. After all, it knows nothing about the statistics in one of the tables so how could it do any better? Well, it behaves as if it were doing a recompile. And an explicit recompile adds no value at all. (we just go up to 45000 rows since we know the bigger picture now)   Now, if you were new to this, you might be tempted to start drawing conclusions. Beware! We’re dealing with a very complex beast: the Query Optimizer. It can come up with surprises What if we change the query very slightly to insert the results into a Table Variable? We change nothing else and just measure the execution time of the statement as before. Suddenly, the table variable isn’t looking so much better, even taking into account the time involved in doing the table insert. OK, if you haven’t used OPTION (RECOMPILE) then you’re toast. Otherwise, there isn’t much in it between the Table variable and the temporary table. The table variable is faster up to 8000 rows and then not much in it up to 100,000 rows. Past the 8000 row mark, we’ve lost the advantage of the table variable’s speed. Any general rule you may be formulating has just gone for a walk. What we can conclude from this experiment is that if you join two table variables, and can’t use constraints, you’re going to need that Option (RECOMPILE) hint. Count Dracula and the Horror Join. These tables of integers provide a rather unreal example, so let’s try a rather different example, and get stuck into some implicit indexing, by using constraints. What unusual words are contained in the book ‘Dracula’ by Bram Stoker? Here we get a table of all the common words in the English language (60,387 of them) and put them in a table. We put them in a Table Variable with the word as a primary key, a Table Variable Heap and a Table Variable with a primary key. We then take all the distinct words used in the book ‘Dracula’ (7,558 of them). We then create a table variable and insert into it all those uncommon words that are in ‘Dracula’. i.e. all the words in Dracula that aren’t matched in the list of common words. To do this we use a left outer join, where the right-hand value is null. The results show a huge variation, between the sublime and the gorblimey. If both tables contain a Primary Key on the columns we join on, and both are Table Variables, it took 33 Ms. If one table contains a Primary Key, and the other is a heap, and both are Table Variables, it took 46 Ms. If both Table Variables use a unique constraint, then the query takes 36 Ms. If neither table contains a Primary Key and both are Table Variables, it took 116383 Ms. Yes, nearly two minutes!! If both tables contain a Primary Key, one is a Table Variables and the other is a temporary table, it took 113 Ms. If one table contains a Primary Key, and both are Temporary Tables, it took 56 Ms.If both tables are temporary tables and both have primary keys, it took 46 Ms. Here we see table variables which are joined on their primary key again enjoying a  slight performance advantage over temporary tables. Where both tables are table variables and both are heaps, the query suddenly takes nearly two minutes! So what if you have two heaps and you use option Recompile? If you take the rogue query and add the hint, then suddenly, the query drops its time down to 76 Ms. If you add unique indexes, then you've done even better, down to half that time. Here are the text execution plans.So where have we got to? Without drilling down into the minutiae of the execution plans we can begin to create a hypothesis. If you are using table variables, and your tables are relatively small, they are faster than temporary tables, but as the number of rows increases you need to do one of two things: either you need to have a primary key on the column you are using to join on, or else you need to use option (RECOMPILE) If you try to execute a query that is a join, and both tables are table variable heaps, you are asking for trouble, well- slow queries, unless you give the table hint once the number of rows has risen past a point (30,000 in our first example, but this varies considerably according to context). Kevin’s Skew In describing the table-size, I used the term ‘relatively small’. Kevin Boles produced an interesting case where a single-row table variable produces a very poor execution plan when joined to a very, very skewed table. In the original, pasted into my article as a comment, a column consisted of 100000 rows in which the key column was one number (1) . To this was added eight rows with sequential numbers up to 9. When this was joined to a single-tow Table Variable with a key of 2 it produced a bad plan. This problem is unlikely to occur in real usage, and the Query Optimiser team probably never set up a test for it. Actually, the skew can be slightly less extreme than Kevin made it. The following test showed that once the table had 54 sequential rows in the table, then it adopted exactly the same execution plan as for the temporary table and then all was well. Undeniably, real data does occasionally cause problems to the performance of joins in Table Variables due to the extreme skew of the distribution. We've all experienced Perfectly Poisonous Table Variables in real live data. As in Kevin’s example, indexes merely make matters worse, and the OPTION (RECOMPILE) trick does nothing to help. In this case, there is no option but to use a temporary table. However, one has to note that once the slight de-skew had taken place, then the plans were identical across a huge range. Conclusions Where you need to hold intermediate results as part of a process, Table Variables offer a good alternative to temporary tables when used wisely. They can perform faster than a temporary table when the number of rows is not great. For some processing with huge tables, they can perform well when only a clustered index is required, and when the nature of the processing makes an index seek very effective. Table Variables are scoped to the batch or procedure and are unlikely to hang about in the TempDB when they are no longer required. They require no explicit cleanup. Where the number of rows in the table is moderate, you can even use them in joins as ‘Heaps’, unindexed. Beware, however, since, as the number of rows increase, joins on Table Variable heaps can easily become saddled by very poor execution plans, and this must be cured either by adding constraints (UNIQUE or PRIMARY KEY) or by adding the OPTION (RECOMPILE) hint if this is impossible. Occasionally, the way that the data is distributed prevents the efficient use of Table Variables, and this will require using a temporary table instead. Tables Variables require some awareness by the developer about the potential hazards and how to avoid them. If you are not prepared to do any performance monitoring of your code or fine-tuning, and just want to pummel out stuff that ‘just runs’ without considering namby-pamby stuff such as indexes, then stick to Temporary tables. If you are likely to slosh about large numbers of rows in temporary tables without considering the niceties of processing just what is required and no more, then temporary tables provide a safer and less fragile means-to-an-end for you.

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• Using SPServices &amp; jQuery to Find My Stuff from Multi-Select Person/Group Field

  - by Mark Rackley

  Okay… quick blog post for all you SPServices fans out there. I needed to quickly write a script that would return all the tasks currently assigned to me.  I also wanted it to return any task that was assigned to a group I belong to. This can actually be done with a CAML query, so no big deal, right?  The rub is that the “assigned to” field is a multi-select person or group field. As far as I know (and I actually know so little) you cannot just write a CAML query to return this information. If you can, please leave a comment below and disregard the rest of this blog post… So… what’s a hacker to do? As always, I break things down to their most simple components (I really love the KISS principle and would get it tattooed on my back if people wouldn’t think it meant “Knights In Satan’s Service”. You really gotta be an old far to get that reference).  Here’s what we’re going to do: Get currently logged in user’s name as it is stored in a person field Find all the SharePoint groups the current user belongs to Retrieve a set of assigned tasks from the task list and then find those that are assigned to current  user or group current user belongs to Nothing too hairy… So let’s get started Some Caveats before I continue There are some obvious performance implications with this solution as I make a total of four SPServices calls and there’s a lot of looping going on. Also, the CAML query in this blog has NOT been optimized. If you move forward with this code, tweak it so that it returns a further subset of data or you will see horrible performance if you have a few hundred entries in your task list. Add a date range to the CAML or something. Find some way to limit the results as much as possible. Lastly, if you DO have a better solution, I would like you to share. Iron sharpens iron and all…   Alright, let’s really get started. Get currently logged in user’s name as it is stored in a person field First thing we need to do is understand how a person group looks when you look at the XML returned from a SharePoint Web Service call. It turns out it’s stored like any other multi select item in SharePoint which is <id>;#<value> and when you assign a person to that field the <value> equals the person’s name “Mark Rackley” in my case. This is for Windows Authentication, I would expect this to be different in FBA, but I’m not using FBA. If you want to know what it looks like with FBA you can use the code in this blog and strategically place an alert to see the value.  Anyway… I need to find the name of the user who is currently logged in as it is stored in the person field. This turns out to be one SPServices call: var userName = $().SPServices.SPGetCurrentUser({                     fieldName: "Title",                     debug: false                     }); As you can see, the “Title” field has the information we need. I suspect (although again, I haven’t tried) that the Title field also contains the user’s name as we need it if I was using FBA. Okay… last thing we need to do is store our users name in an array for processing later: myGroups = new Array(); myGroups.push(userName); Find all the SharePoint groups the current user belongs to Now for the groups. How are groups returned in that XML stream?  Same as the person <ID>;#<Group Name>, and if it’s a mutli select it’s all returned in one big long string “<ID>;#<Group Name>;#<ID>;#<Group Name>;#<ID>;#<Group Name>;#<ID>;#<Group Name>;#<ID>;#<Group Name>”.  So, how do we find all the groups the current user belongs to? This is also a simple SPServices call. Using the “GetGroupCollectionFromUser” operation we can find all the groups a user belongs to. So, let’s execute this method and store all our groups. $().SPServices({       operation: "GetGroupCollectionFromUser",       userLoginName: $().SPServices.SPGetCurrentUser(),       async: false,       completefunc: function(xData, Status) {          $(xData.responseXML).find("[nodeName=Group]").each(function() {                 myGroups.push($(this).attr("Name"));          });         }     }); So, all we did in the above code was execute the “GetGroupCollectionFromUser” operation and look for the each “Group” node (row) and store the name for each group in our array that we put the user’s name in previously (myGroups). Now we have an array that contains the current user’s name as it will appear in the person field XML and  all the groups the current user belongs to. The Rest Now comes the easy part for all of you familiar with SPServices. We are going to retrieve our tasks from the Task list using “GetListItems” and look at each entry to see if it belongs to this person. If it does belong to this person we are going to store it for later processing. That code looks something like this: // get list of assigned tasks that aren't closed... *modify the CAML to perform better!*             $().SPServices({                   operation: "GetListItems",                   async: false,                   listName: "Tasks",                   CAMLViewFields: "<ViewFields>" +                             "<FieldRef Name='AssignedTo' />" +                             "<FieldRef Name='Title' />" +                             "<FieldRef Name='StartDate' />" +                             "<FieldRef Name='EndDate' />" +                             "<FieldRef Name='Status' />" +                             "</ViewFields>",                   CAMLQuery: "<Query><Where><And><IsNotNull><FieldRef Name='AssignedTo'/></IsNotNull><Neq><FieldRef Name='Status'/><Value Type='Text'>Completed</Value></Neq></And></Where></Query>",                     completefunc: function (xData, Status) {                         var aDataSet = new Array();                        //loop through each returned Task                         $(xData.responseXML).find("[nodeName=z:row]").each(function() {                             //store the multi-select string of who task is assigned to                             var assignedToString = $(this).attr("ows_AssignedTo");                             found = false;                            //loop through the persons name and all the groups they belong to                             for(var i=0; i<myGroups.length; i++) {                                 //if the person's name or group exists in the assigned To string                                 //then the task is assigned to them                                 if (assignedToString.indexOf(myGroups[i]) >= 0){                                     found = true;                                     break;                                 }                             }                             //if the Task belongs to this person then store or display it                             //(I'm storing it in an array)                             if (found){                                 var thisName = $(this).attr("ows_Title");                                 var thisStartDate = $(this).attr("ows_StartDate");                                 var thisEndDate = $(this).attr("ows_EndDate");                                 var thisStatus = $(this).attr("ows_Status");                                                                  var aDataRow=new Array(                                     thisName,                                     thisStartDate,                                     thisEndDate,                                     thisStatus);                                 aDataSet.push(aDataRow);                             }                          });                          SomeFunctionToDisplayData(aDataSet);                     }                 }); Some notes on why I did certain things and additional caveats. You will notice in my code that I’m doing an AssignedToString.indexOf(GroupName) to see if the task belongs to the person. This could possibly return bad results if you have SharePoint Group names that are named in such a way that the “IndexOf” returns a false positive.  For example if you have a Group called “My Users” and a group called “My Users – SuperUsers” then if a user belonged to “My Users” it would return a false positive on executing “My Users – SuperUsers”.IndexOf(“My Users”). Make sense? Just be aware of this when naming groups, we don’t have this problem. This is where also some fine-tuning can probably be done by those smarter than me. This is a pretty inefficient method to determine if a task belongs to a user, I mean what if a user belongs to 20 groups? That’s a LOT of looping.  See all the opportunities I give you guys to do something fun?? Also, why am I storing my values in an array instead of just writing them out to a Div? Well.. I want to pass my data to a jQuery library to format it all nice and pretty and an Array is a great way to do that. When all is said and done and we put all the code together it looks like:   $(document).ready(function() {         var userName = $().SPServices.SPGetCurrentUser({                     fieldName: "Title",                     debug: false                     });         myGroups = new Array();     myGroups.push(userName );       $().SPServices({       operation: "GetGroupCollectionFromUser",       userLoginName: $().SPServices.SPGetCurrentUser(),       async: false,       completefunc: function(xData, Status) {          $(xData.responseXML).find("[nodeName=Group]").each(function() {                 myGroups.push($(this).attr("Name"));          });                      // get list of assigned tasks that aren't closed... *modify this CAML to perform better!*             $().SPServices({                   operation: "GetListItems",                   async: false,                   listName: "Tasks",                   CAMLViewFields: "<ViewFields>" +                             "<FieldRef Name='AssignedTo' />" +                             "<FieldRef Name='Title' />" +                             "<FieldRef Name='StartDate' />" +                             "<FieldRef Name='EndDate' />" +                             "<FieldRef Name='Status' />" +                             "</ViewFields>",                   CAMLQuery: "<Query><Where><And><IsNotNull><FieldRef Name='AssignedTo'/></IsNotNull><Neq><FieldRef Name='Status'/><Value Type='Text'>Completed</Value></Neq></And></Where></Query>",                     completefunc: function (xData, Status) {                         var aDataSet = new Array();                         //loop through each returned Task                         $(xData.responseXML).find("[nodeName=z:row]").each(function() {                             //store the multi-select string of who task is assigned to                             var assignedToString = $(this).attr("ows_AssignedTo");                             found = false;                            //loop through the persons name and all the groups they belong to                             for(var i=0; i<myGroups.length; i++) {                                 //if the person's name or group exists in the assigned To string                                 //then the task is assigned to them                                 if (assignedToString.indexOf(myGroups[i]) >= 0){                                     found = true;                                     break;                                 }                             }                            //if the Task belongs to this person then store or display it                             //(I'm storing it in an array)                             if (found){                                 var thisName = $(this).attr("ows_Title");                                 var thisStartDate = $(this).attr("ows_StartDate");                                 var thisEndDate = $(this).attr("ows_EndDate");                                 var thisStatus = $(this).attr("ows_Status");                                                                  var aDataRow=new Array(                                     thisName,                                     thisStartDate,                                     thisEndDate,                                     thisStatus);                                 aDataSet.push(aDataRow);                             }                          });                          SomeFunctionToDisplayData(aDataSet);                     }                 });       }    });  }); Final Thoughts So, there you have it. Take it and run with it. Make it something cool (and tell me how you did it). Another possible way to improve performance in this scenario is to use a DVWP to display the tasks and use jQuery and the “myGroups” array from this blog post to hide all those rows that don’t belong to the current user. I haven’t tried it, but it does move some of the processing off to the server (generating the view) so it may perform better.  As always, thanks for stopping by… hope you have a Merry Christmas…

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• ASP.Net MVC Interview Questions and Answers

  - by Samir R. Bhogayta

  About ASP.Net MVC The ASP.Net MVC is the framework provided by Microsoft that lets you develop the applications that follows the principles of Model-View-Controller (MVC) design pattern. The .Net programmers new to MVC thinks that it is similar to WebForms Model (Normal ASP.Net), but it is far different from the WebForms programming.  This article will tell you how to quick learn the basics of MVC along with some frequently asked interview questions and answers on ASP.Net MVC 1. What is ASP.Net MVC The ASP.Net MVC is the framework provided by Microsoft to achieve     separation of concerns that leads to easy maintainability of the     application. Model is supposed to handle data related activity View deals with user interface related work Controller is meant for managing the application flow by communicating between Model and View. Normal 0 false false false EN-US X-NONE X-NONE 2. Why to use ASP.Net MVC The strength of MVC (i.e. ASP.Net MVC) listed below will answer this question MVC reduces the dependency between the components; this makes your code more testable. MVC does not recommend use of server controls, hence the processing time required to generate HTML response is drastically reduced. The integration of java script libraries like jQuery, Microsoft MVC becomes easy as compared to Webforms approach. 3. What do you mean by Razor The Razor is the new View engine introduced in MVC 3.0. The View engine is responsible for processing the view files [e.g. .aspx, .cshtml] in order to generate HTML response. The previous versions of MVC were dependent on ASPX view engine.  4. Can we use ASPX view engine in latest versions of MVC Yes. The Recommended way is to prefer Razor View 5. What are the benefits of Razor View?      The syntax for server side code is simplified      The length of code is drastically reduced      Razor syntax is easy to learn and reduces the complexity Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} 6. What is the extension of Razor View file? .cshtml (for c#) and .vbhtml (for vb) 7. How to create a Controller in MVC Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} Create a simple class and extend it from Controller class. The bare minimum requirement for a class to become a controller is to inherit it from ControllerBase is the class that is required to inherit to create the controller but Controller class inherits from ControllerBase. 8. How to create an Action method in MVC Add a simple method inside a controller class with ActionResult return type. 9. How to access a view on the server    The browser generates the request in which the information like Controller name, Action Name and Parameters are provided, when server receives this URL it resolves the Name of Controller and Action, after that it calls the specified action with provided parameters. Action normally does some processing and returns the ViewResult by specifying the view name (blank name searches according to naming conventions).   10. What is the default Form method (i.e. GET, POST) for an action method GET. To change this you can add an action level attribute e.g [HttpPost] Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} 11. What is a Filter in MVC? When user (browser) sends a request to server an action method of a controller gets invoked; sometimes you may require executing a custom code before or after action method gets invoked, this custom code is called as Filter. 12. What are the different types of Filters in MVC? a. Authorization filter b. Action filter c. Result filter d. Exception filter [Do not forget the order mentioned above as filters gets executed as per above mentioned sequence] 13. Explain the use of Filter with an example? Suppose you are working on a MVC application where URL is sent in an encrypted format instead of a plain text, once encrypted URL is received by server it will ignore action parameters because of URL encryption. To solve this issue you can create global action filter by overriding OnActionExecuting method of controller class, in this you can extract the action parameters from the encrypted URL and these parameters can be set on filterContext to send plain text parameters to the actions.     14. What is a HTML helper? A HTML helper is a method that returns string; return string usually is the HTML tag. The standard HTML helpers (e.g. Html.BeginForm(),Html.TextBox()) available in MVC are lightweight as it does not rely on event model or view state as that of in ASP.Net server controls.

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• CreationName for SSIS 2008 and adding components programmatically

  If you are building SSIS 2008 packages programmatically and adding data flow components, you will probably need to know the creation name of the component to add. I can never find a handy reference when I need one, hence this rather mundane post. See also CreationName for SSS 2005. We start with a very simple snippet for adding a component: // Add the Data Flow Task package.Executables.Add("STOCK:PipelineTask"); // Get the task host wrapper, and the Data Flow task TaskHost taskHost = package.Executables[0] as TaskHost; MainPipe dataFlowTask = (MainPipe)taskHost.InnerObject; // Add OLE-DB source component - ** This is where we need the creation name ** IDTSComponentMetaData90 componentSource = dataFlowTask.ComponentMetaDataCollection.New(); componentSource.Name = "OLEDBSource"; componentSource.ComponentClassID = "DTSAdapter.OLEDBSource.2"; So as you can see the creation name for a OLE-DB Source is DTSAdapter.OLEDBSource.2. CreationName Reference  ADO NET Destination Microsoft.SqlServer.Dts.Pipeline.ADONETDestination, Microsoft.SqlServer.ADONETDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 ADO NET Source Microsoft.SqlServer.Dts.Pipeline.DataReaderSourceAdapter, Microsoft.SqlServer.ADONETSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Aggregate DTSTransform.Aggregate.2 Audit DTSTransform.Lineage.2 Cache Transform DTSTransform.Cache.1 Character Map DTSTransform.CharacterMap.2 Checksum Konesans.Dts.Pipeline.ChecksumTransform.ChecksumTransform, Konesans.Dts.Pipeline.ChecksumTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Conditional Split DTSTransform.ConditionalSplit.2 Copy Column DTSTransform.CopyMap.2 Data Conversion DTSTransform.DataConvert.2 Data Mining Model Training MSMDPP.PXPipelineProcessDM.2 Data Mining Query MSMDPP.PXPipelineDMQuery.2 DataReader Destination Microsoft.SqlServer.Dts.Pipeline.DataReaderDestinationAdapter, Microsoft.SqlServer.DataReaderDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Derived Column DTSTransform.DerivedColumn.2 Dimension Processing MSMDPP.PXPipelineProcessDimension.2 Excel Destination DTSAdapter.ExcelDestination.2 Excel Source DTSAdapter.ExcelSource.2 Export Column TxFileExtractor.Extractor.2 Flat File Destination DTSAdapter.FlatFileDestination.2 Flat File Source DTSAdapter.FlatFileSource.2 Fuzzy Grouping DTSTransform.GroupDups.2 Fuzzy Lookup DTSTransform.BestMatch.2 Import Column TxFileInserter.Inserter.2 Lookup DTSTransform.Lookup.2 Merge DTSTransform.Merge.2 Merge Join DTSTransform.MergeJoin.2 Multicast DTSTransform.Multicast.2 OLE DB Command DTSTransform.OLEDBCommand.2 OLE DB Destination DTSAdapter.OLEDBDestination.2 OLE DB Source DTSAdapter.OLEDBSource.2 Partition Processing MSMDPP.PXPipelineProcessPartition.2 Percentage Sampling DTSTransform.PctSampling.2 Performance Counters Source DataCollectorTransform.TxPerfCounters.1 Pivot DTSTransform.Pivot.2 Raw File Destination DTSAdapter.RawDestination.2 Raw File Source DTSAdapter.RawSource.2 Recordset Destination DTSAdapter.RecordsetDestination.2 RegexClean Konesans.Dts.Pipeline.RegexClean.RegexClean, Konesans.Dts.Pipeline.RegexClean, Version=2.0.0.0, Culture=neutral, PublicKeyToken=d1abe77e8a21353e Row Count DTSTransform.RowCount.2 Row Count Plus Konesans.Dts.Pipeline.RowCountPlusTransform.RowCountPlusTransform, Konesans.Dts.Pipeline.RowCountPlusTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Number Konesans.Dts.Pipeline.RowNumberTransform.RowNumberTransform, Konesans.Dts.Pipeline.RowNumberTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Sampling DTSTransform.RowSampling.2 Script Component Microsoft.SqlServer.Dts.Pipeline.ScriptComponentHost, Microsoft.SqlServer.TxScript, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Slowly Changing Dimension DTSTransform.SCD.2 Sort DTSTransform.Sort.2 SQL Server Compact Destination Microsoft.SqlServer.Dts.Pipeline.SqlCEDestinationAdapter, Microsoft.SqlServer.SqlCEDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 SQL Server Destination DTSAdapter.SQLServerDestination.2 Term Extraction DTSTransform.TermExtraction.2 Term Lookup DTSTransform.TermLookup.2 Trash Destination Konesans.Dts.Pipeline.TrashDestination.Trash, Konesans.Dts.Pipeline.TrashDestination, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b8351fe7752642cc TxTopQueries DataCollectorTransform.TxTopQueries.1 Union All DTSTransform.UnionAll.2 Unpivot DTSTransform.UnPivot.2 XML Source Microsoft.SqlServer.Dts.Pipeline.XmlSourceAdapter, Microsoft.SqlServer.XmlSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Here is a simple console program that can be used to enumerate the pipeline components installed on your machine, and dumps out a list of all components like that above. You will need to add a reference to the Microsoft.SQLServer.ManagedDTS assembly. using System; using System.Diagnostics; using Microsoft.SqlServer.Dts.Runtime; public class Program { static void Main(string[] args) { Application application = new Application(); PipelineComponentInfos componentInfos = application.PipelineComponentInfos; foreach (PipelineComponentInfo componentInfo in componentInfos) { Debug.WriteLine(componentInfo.Name + "\t" + componentInfo.CreationName); } Console.Read(); } }

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• The OLE DB provider "SQLNCLI10.1" has not been registered.; 42000.

  - by lankylad

  I have a SQL Server 2008 Analysis Services Project. In the Data Source View I have a Named Query which references a single Data Source containing three tables. The Project processes successfully and the cube can be browsed. I recently added a second Data Source to the Data Source View and linked a table to the original Named Query. When I try to process the project, I get the message: OLE DB error: OLE DB or ODBC error: The OLE DB provider "SQLNCLI10.1" has not been registered.; 42000. The Connection String for both Data Sources uses SQLNCLI10.1

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• The OLE DB provider "SQLNCLI10.1" has not been registered.; 42000

  - by lankylad

  I have a SQL Server 2008 Analysis Services Project. In the Data Source View I have a Named Query which references a single Data Source containing three tables. The Project processes successfully and the cube can be browsed. I recently added a second Data Source to the Data Source View and linked a table to the original Named Query. When I try to process the project, I get the message: OLE DB error: OLE DB or ODBC error: The OLE DB provider "SQLNCLI10.1" has not been registered.; 42000. The Connection String for both Data Sources uses SQLNCLI10.1

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• Sun Fire X4270 M3 SAP Enhancement Package 4 for SAP ERP 6.0 (Unicode) Two-Tier Standard Sales and Distribution (SD) Benchmark

  - by Brian

  Oracle's Sun Fire X4270 M3 server achieved 8,320 SAP SD Benchmark users running SAP enhancement package 4 for SAP ERP 6.0 with unicode software using Oracle Database 11g and Oracle Solaris 10. The Sun Fire X4270 M3 server using Oracle Database 11g and Oracle Solaris 10 beat both IBM Flex System x240 and IBM System x3650 M4 server running DB2 9.7 and Windows Server 2008 R2 Enterprise Edition. The Sun Fire X4270 M3 server running Oracle Database 11g and Oracle Solaris 10 beat the HP ProLiant BL460c Gen8 server using SQL Server 2008 and Windows Server 2008 R2 Enterprise Edition by 6%. The Sun Fire X4270 M3 server using Oracle Database 11g and Oracle Solaris 10 beat Cisco UCS C240 M3 server running SQL Server 2008 and Windows Server 2008 R2 Datacenter Edition by 9%. The Sun Fire X4270 M3 server running Oracle Database 11g and Oracle Solaris 10 beat the Fujitsu PRIMERGY RX300 S7 server using SQL Server 2008 and Windows Server 2008 R2 Enterprise Edition by 10%. Performance Landscape SAP-SD 2-Tier Performance Table (in decreasing performance order). SAP ERP 6.0 Enhancement Pack 4 (Unicode) Results (benchmark version from January 2009 to April 2012) System OS Database Users SAPERP/ECCRelease SAPS SAPS/Proc Date Sun Fire X4270 M3 2xIntel Xeon E5-2690 @2.90GHz 128 GB Oracle Solaris 10 Oracle Database 11g 8,320 20096.0 EP4(Unicode) 45,570 22,785 10-Apr-12 IBM Flex System x240 2xIntel Xeon E5-2690 @2.90GHz 128 GB Windows Server 2008 R2 EE DB2 9.7 7,960 20096.0 EP4(Unicode) 43,520 21,760 11-Apr-12 HP ProLiant BL460c Gen8 2xIntel Xeon E5-2690 @2.90GHz 128 GB Windows Server 2008 R2 EE SQL Server 2008 7,865 20096.0 EP4(Unicode) 42,920 21,460 29-Mar-12 IBM System x3650 M4 2xIntel Xeon E5-2690 @2.90GHz 128 GB Windows Server 2008 R2 EE DB2 9.7 7,855 20096.0 EP4(Unicode) 42,880 21,440 06-Mar-12 Cisco UCS C240 M3 2xIntel Xeon E5-2690 @2.90GHz 128 GB Windows Server 2008 R2 DE SQL Server 2008 7,635 20096.0 EP4(Unicode) 41,800 20,900 06-Mar-12 Fujitsu PRIMERGY RX300 S7 2xIntel Xeon E5-2690 @2.90GHz 128 GB Windows Server 2008 R2 EE SQL Server 2008 7,570 20096.0 EP4(Unicode) 41,320 20,660 06-Mar-12 Complete benchmark results may be found at the SAP benchmark website http://www.sap.com/benchmark. Configuration and Results Summary Hardware Configuration: Sun Fire X4270 M3 2 x 2.90 GHz Intel Xeon E5-2690 processors 128 GB memory Sun StorageTek 6540 with 4 * 16 * 300GB 15Krpm 4Gb FC-AL Software Configuration: Oracle Solaris 10 Oracle Database 11g SAP enhancement package 4 for SAP ERP 6.0 (Unicode) Certified Results (published by SAP): Number of benchmark users: 8,320 Average dialog response time: 0.95 seconds Throughput: Fully processed order line: 911,330 Dialog steps/hour: 2,734,000 SAPS: 45,570 SAP Certification: 2012014 Benchmark Description The SAP Standard Application SD (Sales and Distribution) Benchmark is a two-tier ERP business test that is indicative of full business workloads of complete order processing and invoice processing, and demonstrates the ability to run both the application and database software on a single system. The SAP Standard Application SD Benchmark represents the critical tasks performed in real-world ERP business environments. SAP is one of the premier world-wide ERP application providers, and maintains a suite of benchmark tests to demonstrate the performance of competitive systems on the various SAP products. See Also SAP Benchmark Website Sun Fire X4270 M3 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Two-tier SAP Sales and Distribution (SD) standard SAP SD benchmark based on SAP enhancement package 4 for SAP ERP 6.0 (Unicode) application benchmark as of 04/11/12: Sun Fire X4270 M3 (2 processors, 16 cores, 32 threads) 8,320 SAP SD Users, 2 x 2.90 GHz Intel Xeon E5-2690, 128 GB memory, Oracle 11g, Solaris 10, Cert# 2012014. IBM Flex System x240 (2 processors, 16 cores, 32 threads) 7,960 SAP SD Users, 2 x 2.90 GHz Intel Xeon E5-2690, 128 GB memory, DB2 9.7, Windows Server 2008 R2 EE, Cert# 2012016. IBM System x3650 M4 (2 processors, 16 cores, 32 threads) 7,855 SAP SD Users, 2 x 2.90 GHz Intel Xeon E5-2690, 128 GB memory, DB2 9.7, Windows Server 2008 R2 EE, Cert# 2012010. Cisco UCS C240 M3 (2 processors, 16 cores, 32 threads) 7,635 SAP SD Users, 2 x 2.90 GHz Intel Xeon E5-2690, 128 GB memory, SQL Server 2008, Windows Server 2008 R2 DE, Cert# 2012011. Fujitsu PRIMERGY RX300 S7 (2 processors, 16 cores, 32 threads) 7,570 SAP SD Users, 2 x 2.90 GHz Intel Xeon E5-2690, 128 GB memory, SQL Server 2008, Windows Server 2008 R2 EE, Cert# 2012008. HP ProLiant DL380p Gen8 (2 processors, 16 cores, 32 threads) 7,865 SAP SD Users, 2 x 2.90 GHz Intel Xeon E5-2690, 128 GB memory, SQL Server 2008, Windows Server 2008 R2 EE, Cert# 2012012. SAP, R/3, reg TM of SAP AG in Germany and other countries. More info www.sap.com/benchmark

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• Force Windows to output only mono sound

  - by sheepsimulator

  So, the 'right' half of my pair of headphones broke (the transducer+wire are fine, but the earpiece broke on the headband and so the earpiece won't sit over my ear). So now the right channel is being broadcast to my cube neighbors when I wear my headphones. Yes, they look very silly. Is there a way to ensure, in Windows XP (or Windows Media Player), that all stereo sound is downmixed to the left channel only (ie, in mono) so my neighbors don't hear my music? I know that I can setup the mixer to set the balance to 100% left, but information in the right channel won't be heard.

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• How do I draw an OpenGL point sprite using libgdx for Android?

  - by nbolton

  Here's a few snippets of what I have so far... void create() { renderer = new ImmediateModeRenderer(); tiles = Gdx.graphics.newTexture( Gdx.files.getFileHandle("res/tiles2.png", FileType.Internal), TextureFilter.MipMap, TextureFilter.Linear, TextureWrap.ClampToEdge, TextureWrap.ClampToEdge); } void render() { Gdx.gl.glClear(GL10.GL_COLOR_BUFFER_BIT | GL10.GL_DEPTH_BUFFER_BIT); Gdx.gl.glClearColor(0.6f, 0.7f, 0.9f, 1); } void renderSprite() { int handle = tiles.getTextureObjectHandle(); Gdx.gl.glBindTexture(GL.GL_TEXTURE_2D, handle); Gdx.gl.glEnable(GL.GL_POINT_SPRITE); Gdx.gl11.glTexEnvi(GL.GL_POINT_SPRITE, GL.GL_COORD_REPLACE, GL.GL_TRUE); renderer.begin(GL.GL_POINTS); renderer.vertex(pos.x, pos.y, pos.z); renderer.end(); } create() is called once when the program starts, and renderSprites() is called for each sprite (so, pos is unique to each sprite) where the sprites are arranged in a sort-of 3D cube. Unfortunately though, this just renders a few white dots... I suppose that the texture isn't being bound which is why I'm getting white dots. Also, when I draw my sprites on anything other than 0 z-axis, they do not appear -- I read that I need to crease my zfar and znear, but I have no idea how to do this using libgdx (perhaps it's because I'm using ortho projection? What do I use instead?). I know that the texture is usable, since I was able to render it using a SpriteBatch, but I guess I'm not using it properly with OpenGL.

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• Big Data – Buzz Words: What is MapReduce – Day 7 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned what is Hadoop. In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – MapReduce. What is MapReduce? MapReduce was designed by Google as a programming model for processing large data sets with a parallel, distributed algorithm on a cluster. Though, MapReduce was originally Google proprietary technology, it has been quite a generalized term in the recent time. MapReduce comprises a Map() and Reduce() procedures. Procedure Map() performance filtering and sorting operation on data where as procedure Reduce() performs a summary operation of the data. This model is based on modified concepts of the map and reduce functions commonly available in functional programing. The library where procedure Map() and Reduce() belongs is written in many different languages. The most popular free implementation of MapReduce is Apache Hadoop which we will explore tomorrow. Advantages of MapReduce Procedures The MapReduce Framework usually contains distributed servers and it runs various tasks in parallel to each other. There are various components which manages the communications between various nodes of the data and provides the high availability and fault tolerance. Programs written in MapReduce functional styles are automatically parallelized and executed on commodity machines. The MapReduce Framework takes care of the details of partitioning the data and executing the processes on distributed server on run time. During this process if there is any disaster the framework provides high availability and other available modes take care of the responsibility of the failed node. As you can clearly see more this entire MapReduce Frameworks provides much more than just Map() and Reduce() procedures; it provides scalability and fault tolerance as well. A typical implementation of the MapReduce Framework processes many petabytes of data and thousands of the processing machines. How do MapReduce Framework Works? A typical MapReduce Framework contains petabytes of the data and thousands of the nodes. Here is the basic explanation of the MapReduce Procedures which uses this massive commodity of the servers. Map() Procedure There is always a master node in this infrastructure which takes an input. Right after taking input master node divides it into smaller sub-inputs or sub-problems. These sub-problems are distributed to worker nodes. A worker node later processes them and does necessary analysis. Once the worker node completes the process with this sub-problem it returns it back to master node. Reduce() Procedure All the worker nodes return the answer to the sub-problem assigned to them to master node. The master node collects the answer and once again aggregate that in the form of the answer to the original big problem which was assigned master node. The MapReduce Framework does the above Map () and Reduce () procedure in the parallel and independent to each other. All the Map() procedures can run parallel to each other and once each worker node had completed their task they can send it back to master code to compile it with a single answer. This particular procedure can be very effective when it is implemented on a very large amount of data (Big Data). The MapReduce Framework has five different steps: Preparing Map() Input Executing User Provided Map() Code Shuffle Map Output to Reduce Processor Executing User Provided Reduce Code Producing the Final Output Here is the Dataflow of MapReduce Framework: Input Reader Map Function Partition Function Compare Function Reduce Function Output Writer In a future blog post of this 31 day series we will explore various components of MapReduce in Detail. MapReduce in a Single Statement MapReduce is equivalent to SELECT and GROUP BY of a relational database for a very large database. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – HDFS. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Master Note for Generic Data Warehousing

  - by lajos.varady(at)oracle.com

  ++++++++++++++++++++++++++++++++++++++++++++++++++++ The complete and the most recent version of this article can be viewed from My Oracle Support Knowledge Section. Master Note for Generic Data Warehousing [ID 1269175.1] ++++++++++++++++++++++++++++++++++++++++++++++++++++In this Document   Purpose   Master Note for Generic Data Warehousing      Components covered      Oracle Database Data Warehousing specific documents for recent versions      Technology Network Product Homes      Master Notes available in My Oracle Support      White Papers      Technical Presentations Platforms: 1-914CU; This document is being delivered to you via Oracle Support's Rapid Visibility (RaV) process and therefore has not been subject to an independent technical review. Applies to: Oracle Server - Enterprise Edition - Version: 9.2.0.1 to 11.2.0.2 - Release: 9.2 to 11.2Information in this document applies to any platform. Purpose Provide navigation path Master Note for Generic Data Warehousing Components covered Read Only Materialized ViewsQuery RewriteDatabase Object PartitioningParallel Execution and Parallel QueryDatabase CompressionTransportable TablespacesOracle Online Analytical Processing (OLAP)Oracle Data MiningOracle Database Data Warehousing specific documents for recent versions 11g Release 2 (11.2)11g Release 1 (11.1)10g Release 2 (10.2)10g Release 1 (10.1)9i Release 2 (9.2)9i Release 1 (9.0)Technology Network Product HomesOracle Partitioning Advanced CompressionOracle Data MiningOracle OLAPMaster Notes available in My Oracle SupportThese technical articles have been written by Oracle Support Engineers to provide proactive and top level information and knowledge about the components of thedatabase we handle under the "Database Datawarehousing".Note 1166564.1 Master Note: Transportable Tablespaces (TTS) -- Common Questions and IssuesNote 1087507.1 Master Note for MVIEW 'ORA-' error diagnosis. For Materialized View CREATE or REFRESHNote 1102801.1 Master Note: How to Get a 10046 trace for a Parallel QueryNote 1097154.1 Master Note Parallel Execution Wait Events Note 1107593.1 Master Note for the Oracle OLAP OptionNote 1087643.1 Master Note for Oracle Data MiningNote 1215173.1 Master Note for Query RewriteNote 1223705.1 Master Note for OLTP Compression Note 1269175.1 Master Note for Generic Data WarehousingWhite Papers Transportable Tablespaces white papers Database Upgrade Using Transportable Tablespaces:Oracle Database 11g Release 1 (February 2009) Platform Migration Using Transportable Database Oracle Database 11g and 10g Release 2 (August 2008) Database Upgrade using Transportable Tablespaces: Oracle Database 10g Release 2 (April 2007) Platform Migration using Transportable Tablespaces: Oracle Database 10g Release 2 (April 2007)Parallel Execution and Parallel Query white papers Best Practices for Workload Management of a Data Warehouse on the Sun Oracle Database Machine (June 2010) Effective resource utilization by In-Memory Parallel Execution in Oracle Real Application Clusters 11g Release 2 (Feb 2010) Parallel Execution Fundamentals in Oracle Database 11g Release 2 (November 2009) Parallel Execution with Oracle Database 10g Release 2 (June 2005)Oracle Data Mining white paper Oracle Data Mining 11g Release 2 (March 2010)Partitioning white papers Partitioning with Oracle Database 11g Release 2 (September 2009) Partitioning in Oracle Database 11g (June 2007)Materialized Views and Query Rewrite white papers Oracle Materialized Views  and Query Rewrite (May 2005) Improving Performance using Query Rewrite in Oracle Database 10g (December 2003)Database Compression white papers Advanced Compression with Oracle Database 11g Release 2 (September 2009) Table Compression in Oracle Database 10g Release 2 (May 2005)Oracle OLAP white papers On-line Analytic Processing with Oracle Database 11g Release 2 (September 2009) Using Oracle Business Intelligence Enterprise Edition with the OLAP Option to Oracle Database 11g (July 2008)Generic white papers Enabling Pervasive BI through a Practical Data Warehouse Reference Architecture (February 2010) Optimizing and Protecting Storage with Oracle Database 11g Release 2 (November 2009) Oracle Database 11g for Data Warehousing and Business Intelligence (August 2009) Best practices for a Data Warehouse on Oracle Database 11g (September 2008)Technical PresentationsA selection of ObE - Oracle by Examples documents: Generic Using Basic Database Functionality for Data Warehousing (10g) Partitioning Manipulating Partitions in Oracle Database (11g Release 1) Using High-Speed Data Loading and Rolling Window Operations with Partitioning (11g Release 1) Using Partitioned Outer Join to Fill Gaps in Sparse Data (10g) Materialized View and Query Rewrite Using Materialized Views and Query Rewrite Capabilities (10g) Using the SQLAccess Advisor to Recommend Materialized Views and Indexes (10g) Oracle OLAP Using Microsoft Excel With Oracle 11g Cubes (how to analyze data in Oracle OLAP Cubes using Excel's native capabilities) Using Oracle OLAP 11g With Oracle BI Enterprise Edition (Creating OBIEE Metadata for OLAP 11g Cubes and querying those in BI Answers) Building OLAP 11g Cubes Querying OLAP 11g Cubes Creating Interactive APEX Reports Over OLAP 11g CubesSelection of presentations from the BIWA website:Extreme Data Warehousing With Exadata  by Hermann Baer (July 2010) (slides 2.5MB, recording 54MB)Data Mining Made Easy! Introducing Oracle Data Miner 11g Release 2 New "Work flow" GUI   by Charlie Berger (May 2010) (slides 4.8MB, recording 85MB )Best Practices for Deploying a Data Warehouse on Oracle Database 11g  by Maria Colgan (December 2009)  (slides 3MB, recording 18MB, white paper 3MB )

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• MDX lekérdezések az Oracle OLAP-hoz

  - by Fekete Zoltán

  Az Oracle OpenWord-ön, 2009. október 12-én jelentette be az Oracle, hogy elkészült a Simba Technologies MDX eszköze az Oracle OLAP eléréséhez: Oracle and Simba Technologies Introduce MDX Provider for Oracle® OLAP. Az MDX Provider for Oracle® OLAP eszközzel közvetlenül az Excel felületrol lehet elérni az Oracle OLAP multidimenziós (multidimenzionális) motor által kezelt adatokat. Az MDX Provider for Oracle OLAP esköz lehetové teszi, hogy az Excel kereszttábla/pivott'bla (PivotTable) és PivotChart funkciókat közvetlenül használjuk az Oracle OLAP-ban tárolt adatvagyon ékszerek eléréséhez. :) - könnyen kihasználhatjuk az Oracle Database OLAP nagy sebességét a lekérdezési és a számítási oldalon is - támogatott táblázatkezelo és adatbázis-kezelo platformok: Microsoft Excel 2007 / 2003 és Oracle Database 11g Release 1 és Release 2. Az Oracle OLAP az Oracle Database EE-ben érheto el, annak opciójaként. Az Oracle a hírös és régebben csinos rekordokat is felmutató Oracle Express Server-bol fejlesztette ki az Oracle OLAP-ot, ami az adatbáziskezelo szerver részeként muködik. Technikai OLAP információ. Mire is jó az Oracle OLAP: - az üzleti szakemberek gondolkodásához közel álló elemzési lehetoséget nyújt - kifinomult analitikus lekérdezések elvégzése - hatalmas lekérdezési sebesség, apró futási idok bármilyen mennyiségu adatra - komoly számítási sebesség óriási adatmennyiségen is - gyors aggregációk - SQL-bol is kezelhetok és lekérdezhetok az OLAP adatok! - a cube-organised materialized views alkalmazásával a relációs részletes adatok mögé transzparens aggregációs szinteket helyezhetünk el könnyen Az MDX Provider for Oracle OLAP eszköz a következo helyen letöltheto és kipróbálható: http://www.simba.com/MDX-Provider-for-Oracle-OLAP.htm.

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• SQL SERVER – List of All the Samples Database Available to Download for FREE

  - by Pinal Dave

  It is pretty much very common to have a sample database for any database product. Different companies keep on improving their product and keep on coming up with innovation in their product. To demonstrate the capability of their new enhancements they need the sample database. Microsoft have various sample database available for free download for their SQL Server Product. I have collected them here in a single blog post. Download an AdventureWorks Database The AdventureWorks OLTP database supports standard online transaction processing scenarios for a fictitious bicycle manufacturer (Adventure Works Cycles). Scenarios include Manufacturing, Sales, Purchasing, Product Management, Contact Management, and Human Resources. Coconut Dal Coconut Dal is a lightweight data access layer, for use in projects where the Entity Framework cannot be used or Microsoft’s Enterprise Library Data Block is unsuitable. Anyone who is handwriting ADO.NET should use a library instead and Coconut Dal might be the answer.  DataBooster – Extension to ADO.NET Data Provider The dbParallel DataBooster library is a high-performance extension to ADO.NET Data Provider, includes two aspects: 1) A slimmed down API encapsulation which simplified the most common data access operations (DbConnection -> DbCommand -> DbParameter -> DbDataReader) into a single class DbAccess, to help application with a clean DAL, avoid over-packing and redundant-copy of data transfer. 2) A booster for writing mass data onto database. Base on a rational utilization of database concurrency and a effective utilization of network bandwidth. Tabular AMO 2012 The sample is made of two project parts. The first part is a library of functions to manage tabular models -AMO2Tabular V2-. The second part is a sample to build a tabular model -AdventureWorks Tabular AMO 2012- using the AMO2Tabular library; the created model is similar to the ‘AdventureWorks Tabular Model 2012. SQL Server Analysis Services Product Samples SQL Server Analysis Services provides, a unified and integrated view of all your business data as the foundation for all of your traditional reporting, online analytical processing (OLAP) analysis, Key Performance Indicator (KPI) scorecards, and data mining. Analysis Services Samples for SQL Server 2008 R2 This release is dedicated to the samples that ship for Microsoft SQL Server 2008R2. For many of these samples you will also need to download the AdventureWorks family of databases. SQL Server Reporting Services Product Samples This project contains Reporting Services samples released with Microsoft SQL Server product. These samples are in the following five categories: Application Samples, Extension Samples, Model Samples, Report Samples, and Script Samples. If you are interested in contributing Reporting Services samples, please let us know by posting in the developers’ forum. Reporting Services Samples for SQL Server 2008 R2 This release is dedicated to the samples that ship for Microsoft SQL Server 2008 R2 PCU1. For many of these samples you will also need to download the AdventureWorks family of databases. SQL Server Integration Services Product Samples This project contains Integration Services samples released with Microsoft SQL Server product. These samples are in the following two categories: Package Samples and Programming Samples. If you are interested in contributing Integration Services samples, please let us know by posting in the developers’ forum. Integration Services Samples for SQL Server 2008 R2 This release is dedicated to the samples that ship for Microsoft SQL Server 2008R2. For many of these samples you will also need to download the AdventureWorks family of databases. Windows Azure SQL Reporting Admin Sample The SQLReportingAdmin sample for Windows Azure SQL Reporting demonstrates the usage of SQL Reporting APIs, and manages (add/update/delete) permissions of SQL Reporting users. Windows Azure SQL Reporting ReportViewer-SOAP API usage sample These sample projects demonstrate how to embed a Microsoft ReportViewer control that points to reports hosted on SQL Reporting report servers and how to use SQL Reporting SOAP APIs in your Windows Azure Web application. Enterprise Library 5.0 – Integration Pack for Windows Azure This NuGet package contains a zip file with the source code for the Enterprise Library Integration Pack for Windows Azure.  Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: SQL Sample Database

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• Innovative SPARC: Lighting a Fire Under Oracle's New Hardware Business

  - by Paulo Folgado

  "There's a certain level of things you can do with commercially available parts," says Oracle Executive Vice President Mike Splain. But, he notes, you can do so much more if you design the parts yourself. Mike Splain,EVP, OracleYou can, for example, design cryptographic accelerators into your microprocessors so customers can run their networks fully encrypted if they choose.Of course, it helps if you've already built multiple processing "cores" into those chips so they can handle all that encrypting and decrypting while still getting their other work done.System on a ChipAs the leader of Oracle Microelectronics, Mike knows how implementing clever innovations in silicon can give systems a real competitive advantage.The SPARC microprocessors that his team designed at Sun pioneered the concept of multiple cores several years ago, and the UltraSPARC T2 processor--the industry's first "system on a chip"--packs up to eight cores per chip, each running as many as eight threads at once. That's the most cores and threads of any general-purpose processor. Looking back, Mike points out that the real value of large enterprise-class servers was their ability to run a lot of very large applications in parallel."The beauty of our CMT [chip multi-threading] machines is you can get that same kind of parallel-processing capability at a much lower cost and in a much smaller footprint," he says.The Whole StackWhat has Mike excited these days is that suddenly the opportunity to innovate is much bigger as part of Oracle."In my group, we used to look up the software stack and say, 'We can do any innovation we want, provided the only thing we have to change is what's in the Solaris operating system'--or maybe Java," he says. "If we wanted to change things beyond that, we'd have to go outside the walls of Sun and we'd have to convince the vendors: 'You have to align with us, you have to test with us, you have to build for us, and then you'll reap the benefits.' Now we get access to the entire stack. We can look all the way through the stack and say, 'Okay, what would make the database go faster? What would make the middleware go faster?'"Changing the WorldMike and his microelectronics team also like the fact that Oracle is not just any software company. We're #1 in database, middleware, business intelligence, and more."We're like all the other engineers from Sun; we believe we can change the world, if we can just figure out how to get people to pay attention to us," he says. "Now there's a mechanism at Oracle--much more so than we ever had at Sun."He notes, too, that every innovation in SPARC has involved some combination of hardware and softwareoptimization."Take our cryptography framework, for example. Sure, we can accelerate rapidly, but the Solaris OS has to provide the right set of interfaces that applications can tap into," Mike says. "Same thing with our multicore architecture. We have to have software that can utilize all those threads and run in parallel." His engineers, he points out, have never been interested in producing chips that sell as mere components."Our chips are always designed to go into systems and be combined with various pieces of software," he says. "Our job is to enable the creation of systems."

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• Ubuntu 12.04 doesn't recgonize m CPU correctly

  - by Nightshaxx

  My computer is running ubuntu 12.04 (64bit), and I have a AMD Athlon(tm) X4 760K Quad Core Processor which is about 3.8ghz (and an Radeon HD 7770 GPU). Yet, when I type in cat /proc/cpuinfo - I get: processor : 0 vendor_id : AuthenticAMD cpu family : 21 model : 19 model name : AMD Athlon(tm) X4 760K Quad Core Processor stepping : 1 microcode : 0x6001119 cpu MHz : 1800.000 cache size : 2048 KB physical id : 0 siblings : 4 core id : 0 cpu cores : 2 apicid : 16 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 popcnt aes xsave avx f16c lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs xop skinit wdt lwp fma4 tce nodeid_msr tbm topoext perfctr_core arat cpb hw_pstate npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold bmi1 bogomips : 7599.97 TLB size : 1536 4K pages clflush size : 64 cache_alignment : 64 address sizes : 48 bits physical, 48 bits virtual power management: ts ttp tm 100mhzsteps hwpstate cpb eff_freq_ro processor : 1 vendor_id : AuthenticAMD cpu family : 21 model : 19 model name : AMD Athlon(tm) X4 760K Quad Core Processor stepping : 1 microcode : 0x6001119 cpu MHz : 1800.000 cache size : 2048 KB physical id : 0 siblings : 4 core id : 1 cpu cores : 2 apicid : 17 initial apicid : 1 fpu : yes fpu_exception : yes cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 popcnt aes xsave avx f16c lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs xop skinit wdt lwp fma4 tce nodeid_msr tbm topoext perfctr_core arat cpb hw_pstate npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold bmi1 bogomips : 7599.97 TLB size : 1536 4K pages clflush size : 64 cache_alignment : 64 address sizes : 48 bits physical, 48 bits virtual power management: ts ttp tm 100mhzsteps hwpstate cpb eff_freq_ro processor : 2 vendor_id : AuthenticAMD cpu family : 21 model : 19 model name : AMD Athlon(tm) X4 760K Quad Core Processor stepping : 1 microcode : 0x6001119 cpu MHz : 1800.000 cache size : 2048 KB physical id : 0 siblings : 4 core id : 2 cpu cores : 2 apicid : 18 initial apicid : 2 fpu : yes fpu_exception : yes cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 popcnt aes xsave avx f16c lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs xop skinit wdt lwp fma4 tce nodeid_msr tbm topoext perfctr_core arat cpb hw_pstate npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold bmi1 bogomips : 7599.97 TLB size : 1536 4K pages clflush size : 64 cache_alignment : 64 address sizes : 48 bits physical, 48 bits virtual power management: ts ttp tm 100mhzsteps hwpstate cpb eff_freq_ro processor : 3 vendor_id : AuthenticAMD cpu family : 21 model : 19 model name : AMD Athlon(tm) X4 760K Quad Core Processor stepping : 1 microcode : 0x6001119 cpu MHz : 1800.000 cache size : 2048 KB physical id : 0 siblings : 4 core id : 3 cpu cores : 2 apicid : 19 initial apicid : 3 fpu : yes fpu_exception : yes cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl nonstop_tsc extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 popcnt aes xsave avx f16c lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs xop skinit wdt lwp fma4 tce nodeid_msr tbm topoext perfctr_core arat cpb hw_pstate npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold bmi1 bogomips : 7599.97 TLB size : 1536 4K pages clflush size : 64 cache_alignment : 64 address sizes : 48 bits physical, 48 bits virtual power management: ts ttp tm 100mhzsteps hwpstate cpb eff_freq_ro The important part of all this being, cpu MHz : 1800.000 which indicates that I have only 1.8ghz of processing power, which is totally wrong. Is it something with drivers or Ubuntu?? Also, will windows recognize all of my processing power? Thanks! (NOTE: My cpu doesn't have intigrated graphics

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• Trying to run Compiz but it won't work!

  - by Ben Deslauriers

  ben@ben-ThinkCentre-XXXX:~$ compiz --replace Checking if settings need to be migrated ...no Checking if internal files need to be migrated ...yes [LOG]: Moving Internal Files [LOG]: Copying subdirectory from /home/ben/.compiz/session to /home/ben/.compiz-1/session [LOG]: Copied file /home/ben/.compiz/session/10cd9233ce225949613394716379921200000016160046 to /home/ben/.compiz-1/session/10cd9233ce225949613394716379921200000016160046 [LOG]: Successfully moved internal files Backend : gconf Integration : true Profile : default Adding plugins Initializing core options...done Initializing composite options...done nvfx_screen_get_param:95 - Warning: unknown PIPE_CAP 30 nvfx_screen_get_param:95 - Warning: unknown PIPE_CAP 30 nvfx_screen_get_param:95 - Warning: unknown PIPE_CAP 55 nvfx_screen_get_param:95 - Warning: unknown PIPE_CAP 56 nvfx_screen_get_param:95 - Warning: unknown PIPE_CAP 59 nvfx_screen_get_param:95 - Warning: unknown PIPE_CAP 58 nvfx_screen_get_param:95 - Warning: unknown PIPE_CAP 30 Initializing opengl options...done Initializing decor options...done Initializing grid options...done Initializing gnomecompat options...done Initializing place options...done Initializing session options...done Initializing move options...done Initializing mousepoll options...done Initializing resize options...done Initializing snap options...done Initializing vpswitch options...done Initializing animation options...done Initializing workarounds options...done Initializing fade options...done Initializing cube options...done Initializing scale options...done compiz (expo) - Warn: failed to bind image to texture Initializing expo options...done Initializing rotate options...done Initializing ezoom options...done Setting Update "main_menu_key" Setting Update "run_key" Starting gtk-window-decorator compiz (decor) - Warn: No default decoration found, placement will not be correct compiz (decor) - Warn: No default decoration found, placement will not be correct I have NO CLUE what I am doing wrong :( Please help. All I did was type in compiz --replace and it made my screen flicker and it showed this message in the terminal. I HAVE NO CLUE :(

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• Challenges and Opportunities to Drive Change in the Healthcare System Explored at America’s Health Insurance Plans Exchange Conference and Institute 2013

  - by elaine blog

  The program theme at the June America’s Health Insurance Plans (AHIP) Exchange Conference and AHIP’s Institute 2013 was Transforming Our Health Care System: Navigating and Succeeding in the New Marketplace.  Topics included care delivery transformation, innovation for a new healthcare eco system, Health Insurance Exchanges, the nexus of consumerism, retail and healthcare, driving value through improved operations and leveraging technology, data and innovation to transform care. Oracle participated as a sponsor of both conferences, signaling the significant investment and activity Oracle continues to make in helping health plans, providers and government agencies become more efficient and more relevant in the healthcare market place. AHIP is a national trade association representing the health insurance industry. AHIP’s members provide health and supplemental benefits to more than 200 million Americans through employer-sponsored coverage, the individual insurance market and public programs such as Medicare and Medicaid.   AHIP advocates for public policies that expand access to affordable health care. Health plans are focusing on the Health Insurance Exchanges and the opportunities they offer to provide better access and higher quality healthcare.  With the opportunities come operational challenges to implementation and innovative technology solutions to consider.   At the Exchange Conference, Oracle hosted a breakfast symposium on “Strategies for Success:  Driving Business Transformation in the Growing Health Insurance Exchange Market”. With Health Insurance Exchanges as catalysts for change, attendees learned about how to achieve integration within an Exchange and deploy new business strategies to support health reform initiatives. Discussion covered steps and processes to successfully establish and implement enrollment systems, quote to card activities, program pricing, claims billing, automated claims processing and new customer service tools. Piyush Pushkar, COO of Benefitalign, an Oracle partner that provides solutions to adopt innovative business models for retail, HIX, consumer-centric health plan and benefits administration, spoke on the state of the Exchanges in the U.S. and the activities health plans are engaged in to support individuals entering the healthcare system, including sales automation, member enrollment automation/portals and integration strategies with the Exchanges. The Oracle and Benefitalign partnership allows seamless integration between a health plan enrollment solution with the HIX individual market and allows for the health plan to customize and characterize the offerings available to the HIX that may or may not be available through other channels.  This approach can benefit the health plan through separation of interests, but also because some state-run HIXs require such separation. Janice W. Young, Program Director, Payer IT Strategies, IDC Health Insights, reviewed a survey of health plans on their investment priorities for this last year as well as this year.  She also identified the 2013-2015 strategies of go/get to market with front end and compliance investments; leveraging existing business processes and internal technologies; and establishing best practices.  Of key interest to the audience was a reform era payer solutions platform overview mapping technologies to support the business operations. David Bonham of the Oracle Health Insurance organization moderated the panel and spoke on Oracle’s presence in healthcare and products for payers to help them drive efficiencies and gain a competitive advantage in an ever changing market. Oracle serves healthcare stakeholders with applications such as billing, rating and underwriting, analytics, CRM, enrollment, and products for processing of health insurance claims including pricing and benefits administration, as well as payment of providers through alternative, non-fee for service reimbursement methods. Oracle in Healthcare….Did you know? More than 80 healthcare payers run Oracle applications. More than 300 leading healthcare providers run Oracle applications. 10 out of the top 12 fortune Global 500 healthcare organizations run Oracle applications. For more information on Oracle solutions for healthcare payers, please visit oracle.com/insurance or these individual solution pages: Oracle Health Insurance Components Oracle Insurance Insbridge Rating and Underwriting Oracle Insurance Revenue Management and Billing Oracle Documaker Oracle Healthcare Oracle CRM Related Resources Webcast On Demand: Strategies for Success: Driving Business Transformation in the Growing Health Insurance Exchange Market Strategy Brief: Executing on the Individual Mandate: Opportunities and Challenges for Healthcare Payers White Paper: White paper: Navigating Alternative Provider Reimbursement Models of the Future Strategy Brief: Enterprise Rating Agility Improves Payer Response to Healthcare Reform Podcast: Technology Implications of Healthcare Reform Don’t forget to keep up with us year-round: Facebook: www.facebook.com/oracleinsurance Twitter: www.twitter.com/oracleinsurance YouTube: www.youtube.com/oracleinsurance

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• Book Review: Programming Windows Identity Foundation

  - by DigiMortal

  Programming Windows Identity Foundation by Vittorio Bertocci is right now the only serious book about Windows Identity Foundation available. I started using Windows Identity Foundation when I made my first experiments on Windows Azure AppFabric Access Control Service. I wanted to generalize the way how people authenticate theirselves to my systems and AppFabric ACS seemed to me like good point where to start. My first steps trying to get things work opened the door to whole new authentication world for me. As I went through different blog postings and articles to get more information I discovered that the thing I am trying to use is the one I am looking for. As best security API for .NET was found I wanted to know more about it and this is how I found Programming Windows Identity Foundation. What’s inside? Programming WIF focuses on architecture, design and implementation of WIF. I think Vittorio is very good at teaching people because you find no too complex topics from the book. You learn more and more as you read and as a good thing you will find that you can also try out your new knowledge on WIF immediately. After giving good overview about WIF author moves on and introduces how to use WIF in ASP.NET applications. You will get complete picture how WIF integrates to ASP.NET request processing pipeline and how you can control the process by yourself. There are two chapters about ASP.NET. First one is more like introduction and the second one goes deeper and deeper until you have very good idea about how to use ASP.NET and WIF together, what issues you may face and how you can configure and extend WIF. Other two chapters cover using WIF with Windows Communication Foundation (WCF) band   Windows Azure. WCF chapter expects that you know WCF very well. This is not introductory chapter for beginners, this is heavy reading if you are not familiar with WCF. The chapter about Windows Azure describes how to use WIF in cloud applications. Last chapter talks about some future developments of WIF and describer some problems and their solutions. Most interesting part of this chapter is section about Silverlight. Who should read this book? Programming WIF is targeted to developers. It does not matter if you are beginner or old bullet-proof professional – every developer should be able to be read this book with no difficulties. I don’t recommend this book to administrators and project managers because they find almost nothing that is related to their work. I strongly recommend this book to all developers who are interested in modern authentication methods on Microsoft platform. The book is written so well that I almost forgot all things around me when I was reading the book. All additional tools you need are free. There is also Azure AppFabric ACS test version available and you can try it out for free. Table of contents Foreword Acknowledgments Introduction Part I Windows Identity Foundation for Everybody 1 Claims-Based Identity 2 Core ASP.NET Programming Part II Windows Identity Foundation for Identity Developers 3 WIF Processing Pipeline in ASP.NET 4 Advanced ASP.NET Programming 5 WIF and WCF 6 WIF and Windows Azure 7 The Road Ahead Index

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• Adobe Photoshop CS5 vs Photoshop CS5 extended

  - by Edward

  Adobe Photoshop has been an industry standard for most web designers & photographers worldwide. Photoshop CS5 has made photography editing much more refined and the composition process has become much easier than ever before.  To study the advantage of Photoshop CS5 extended over Photoshop CS5 we have written this comparison article, with both a Designer’s & Photographer’s perspective. Hopefully it shall help you in your buying/upgrade decision. Photoshop CS5 Photoshop CS5 has refining feature with powerful photography tools. It made editing process easy as fewer steps are involved to remove noise, add grain, create vignettes, correct lens distortions, sharpen, and create HDR images. It has quick image correction and color and tone control for professional purpose. Intelligent image editing and enhancement , extraordinary advanced compositing has made it a better tool than earlier versions for photographers. It allows users to accelerate workflow with fast performance on 64-bit Windows® and Mac hardware systems and smoother interactions due to more GPU-accelerated features. It also boasts of a state-of-the-art processing with Adobe Photoshop Camera Raw 6 and helps to maximize creative impact. It provides for tremendous precision and freedom. It allows user to easily select intricate image elements, such as hair and create realistic painting effects. It also allows to remove any image element and see the space fill in almost magically. It has easy access to core editing and streamlined work flow and flexible work ambience. It has creative tools and contents. Photoshop CS5 Extended Photoshop CS5 extended is quite innovative and has incorporated 3D elements to 2D artwork directly within digital imaging application, which enables user to do an easy on-ramp to 3D image creation. It also provides for 3D editing. It has intelligent image editing and enhancement. It offers advance composing and has extraordinary painting and drawing toolset. It provides for video and animation designing. It helps to work with specialized images for architecture, manufacturing, engineering, science, and medicine. Where CS5 extended scores over CS5 CS5 extended has many features, which were not included in CS5. These features make it score more over CS5. These features are: Technology for creating 3D extrusion 3D material library and picker Field depth for 3D 3D merging and scene composition improvements 3D workflow improvement Customization of 3D features Image based light source Shadow catcher for shadow creation Enhanced ray tracer Context sensitive widgets, which allows easy control of objects, lights and cameras. Overlays for materials and mesh boundaries Photoshop CS5 extended is far better than CS5 as it incorporates all the features of CS5 and have more advanced features. It allows 3D creation and editing and has other advanced tools to make it better. Redefining the Image-Editing Experience  : A Photographer’s point of View Photoshop CS5 delivers amazing features and creative options so even new users can perform advanced image manipulations and compositions. Breath taking image intelligence behind Content-Aware Fill magically removes any image detail or object, examines the surroundings and seamlessly fills in the space left behind. Lighting, tone and noise of the surrounding area can be matched. New Refine Edge makes nearly-impossible image selections possible. Masking was never easier, the toughest types of edges, such as hair and foliage seem easier to fix. To sum up following are few advantages of CS5 extended over previous versions 64-bit processing Content Aware Fill Refine Edge, “makes nearly-impossible image selections impossible” HDR Pro, including ghost artifact removal and HDR toning, which gives the look of HDR with a single exposure New brush options Improved image management with enhanced Adobe Bridge Lens corrections Improved black-and-white conversions Puppet Warp: Precisely reposition or warp any image element Adobe Camera Raw 6 Upgrade Buy Online Pricing and Availability Adobe Photoshop CS5 and CS5 Extended are available through Adobe Authorized Resellers & the Adobe Store. Estimated street price for Adobe Photoshop CS5 is US$699 and US$999 for Photoshop CS5 Extended. Upgrade pricing and volume licensing are also available. Related posts:10 Free Alternatives for Adobe Photoshop Software Web based Alternatives to Photoshop 15 Useful Adobe Illustrator Tutorials For Designers

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• Ubuntu-one syncs single files, but not directories [closed]

  - by Luiz Cláudio Duarte

  I'm using Ubuntu 10.10, fully updated. I have tried to sync my ~/Documents and ~/Pictures folders; U1 replicates the directory structure, but no files are uploaded. Next I tried to sync a single file inside ~/Ubuntu One and it was synced. Then I tried to put a directory inside ~/Ubuntu One and, again, the directory structure was replicated, but no files were synced. All the files have the "syncing" icon, however. The latest syncdaemon.log is below: 2011-03-30 07:41:50,752 - ubuntuone.SyncDaemon.fsm - INFO - loading updated metadata 2011-03-30 07:41:55,081 - ubuntuone.SyncDaemon.fsm - INFO - initialized: idx_path: 266, idx_node_id: 266, shares: 1 2011-03-30 07:41:55,082 - ubuntuone.SyncDaemon.GeneralINotProc - INFO - Ignoring files: ['\\A#.*\\Z', '\\A.*~\\Z', '\\A.*\\.py[oc]\\Z', '\\A.*\\.sw[nopx]\\Z', '\\A.*\\.swpx\\Z', '\\A\\..*\\.tmp\\Z'] 2011-03-30 07:41:55,083 - ubuntuone.SyncDaemon.HQ - INFO - HashQueue: _hasher started 2011-03-30 07:41:55,902 - ubuntuone.SyncDaemon.DBus - INFO - DBusInterface initialized. 2011-03-30 07:41:55,903 - ubuntuone.SyncDaemon.Main - INFO - Using '/home/l_claudius/Ubuntu One' as root dir 2011-03-30 07:41:55,903 - ubuntuone.SyncDaemon.Main - INFO - Using '/home/l_claudius/.local/share/ubuntuone/syncdaemon' as data dir 2011-03-30 07:41:55,903 - ubuntuone.SyncDaemon.Main - INFO - Using '/home/l_claudius/.local/share/ubuntuone/shares' as shares root dir 2011-03-30 07:41:55,903 - ubuntuone.SyncDaemon.Main - NOTE - ---- MARK (state: <State: 'INIT' (queues IDLE connection 'Not User Not Network')>; queues: metadata: 0; content: 0; hash: 0, fsm-cache: hit=1 miss=266) ---- 2011-03-30 07:41:55,904 - ubuntuone.SyncDaemon.Main - NOTE - Local rescan starting... 2011-03-30 07:41:55,904 - ubuntuone.SyncDaemon.local_rescan - INFO - start scan all volumes 2011-03-30 07:41:55,906 - ubuntuone.SyncDaemon.local_rescan - INFO - processing trash 2011-03-30 07:41:56,044 - ubuntuone.SyncDaemon.local_rescan - INFO - processing move limbo 2011-03-30 07:41:56,491 - ubuntuone.SyncDaemon.Main - NOTE - Local rescan finished! 2011-03-30 07:41:56,492 - ubuntuone.SyncDaemon.Main - INFO - hash queue empty. We are ready! 2011-03-30 07:42:15,583 - ubuntuone.SyncDaemon.DBus - INFO - u'CredentialsFound': callbacking with credentials (token_name: None). 2011-03-30 07:42:15,584 - ubuntuone.SyncDaemon.DBus - INFO - connect: credential request was successful, pushing SYS_USER_CONNECT. 2011-03-30 07:42:15,617 - ubuntuone.SyncDaemon.ActionQueue - INFO - Connection started to host fs-1.one.ubuntu.com, port 443. 2011-03-30 07:42:15,977 - ubuntuone.SyncDaemon.ActionQueue - INFO - Connection made. 2011-03-30 07:42:15,978 - ubuntuone.SyncDaemon.StorageClient - INFO - Connection made. 2011-03-30 07:42:16,581 - ubuntuone.SyncDaemon.ActionQueue - INFO - The request 'protocol_version' finished OK. 2011-03-30 07:42:16,774 - ubuntuone.SyncDaemon.ActionQueue - INFO - The request 'caps_raising_if_not_accepted' finished OK. 2011-03-30 07:42:16,966 - ubuntuone.SyncDaemon.ActionQueue - INFO - The request 'caps_raising_if_not_accepted' finished OK. 2011-03-30 07:42:17,722 - ubuntuone.SyncDaemon.ActionQueue - INFO - The request 'oauth_authenticate' finished OK. 2011-03-30 07:42:17,723 - ubuntuone.SyncDaemon.ActionQueue - NOTE - Session ID: '563bc960-35fa-4f44-b9b6-125819656dc3' 2011-03-30 07:42:19,258 - ubuntuone.SyncDaemon.ActionQueue - INFO - The request 'list_volumes' finished OK. 2011-03-30 07:43:55,903 - ubuntuone.SyncDaemon.Main - NOTE - ---- MARK (state: <State: 'QUEUE_MANAGER' (queues IDLE connection 'With User With Network')>; queues: metadata: 0; content: 0; hash: 0, fsm-cache: hit=1059 miss=266) ---- 2011-03-30 07:45:55,903 - ubuntuone.SyncDaemon.Main - NOTE - ---- MARK (state: <State: 'QUEUE_MANAGER' (queues IDLE connection 'With User With Network')>; queues: metadata: 0; content: 0; hash: 0, fsm-cache: hit=1059 miss=266) ---- 2011-03-30 07:47:55,903 - ubuntuone.SyncDaemon.Main - NOTE - ---- MARK (state: <State: 'QUEUE_MANAGER' (queues IDLE connection 'With User With Network')>; queues: metadata: 0; content: 0; hash: 0, fsm-cache: hit=1059 miss=266) ---- 2011-03-30 07:49:55,903 - ubuntuone.SyncDaemon.Main - NOTE - ---- MARK (state: <State: 'QUEUE_MANAGER' (queues IDLE connection 'With User With Network')>; queues: metadata: 0; content: 0; hash: 0, fsm-cache: hit=1059 miss=266) ---- 2011-03-30 07:51:55,903 - ubuntuone.SyncDaemon.Main - NOTE - ---- MARK (state: <State: 'QUEUE_MANAGER' (queues IDLE connection 'With User With Network')>; queues: metadata: 0; content: 0; hash: 0, fsm-cache: hit=1059 miss=266) ----

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• Oracle Big Data Software Downloads

  - by Mike.Hallett(at)Oracle-BI&EPM

  Companies have been making business decisions for decades based on transactional data stored in relational databases. Beyond that critical data, is a potential treasure trove of less structured data: weblogs, social media, email, sensors, and photographs that can be mined for useful information. Oracle offers a broad integrated portfolio of products to help you acquire and organize these diverse data sources and analyze them alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data Connectors Downloads here, includes: Oracle SQL Connector for Hadoop Distributed File System Release 2.1.0 Oracle Loader for Hadoop Release 2.1.0 Oracle Data Integrator Companion 11g Oracle R Connector for Hadoop v 2.1 Oracle Big Data Documentation The Oracle Big Data solution offers an integrated portfolio of products to help you organize and analyze your diverse data sources alongside your existing data to find new insights and capitalize on hidden relationships. Oracle Big Data, Release 2.2.0 - E41604_01 zip (27.4 MB) Integrated Software and Big Data Connectors User's Guide HTML PDF Oracle Data Integrator (ODI) Application Adapter for Hadoop Apache Hadoop is designed to handle and process data that is typically from data sources that are non-relational and data volumes that are beyond what is handled by relational databases. Typical processing in Hadoop includes data validation and transformations that are programmed as MapReduce jobs. Designing and implementing a MapReduce job usually requires expert programming knowledge. However, when you use Oracle Data Integrator with the Application Adapter for Hadoop, you do not need to write MapReduce jobs. Oracle Data Integrator uses Hive and the Hive Query Language (HiveQL), a SQL-like language for implementing MapReduce jobs. Employing familiar and easy-to-use tools and pre-configured knowledge modules (KMs), the application adapter provides the following capabilities: Loading data into Hadoop from the local file system and HDFS Performing validation and transformation of data within Hadoop Loading processed data from Hadoop to an Oracle database for further processing and generating reports Oracle Database Loader for Hadoop Oracle Loader for Hadoop is an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database. It pre-partitions the data if necessary and transforms it into a database-ready format. Oracle Loader for Hadoop is a Java MapReduce application that balances the data across reducers to help maximize performance. Oracle R Connector for Hadoop Oracle R Connector for Hadoop is a collection of R packages that provide: Interfaces to work with Hive tables, the Apache Hadoop compute infrastructure, the local R environment, and Oracle database tables Predictive analytic techniques, written in R or Java as Hadoop MapReduce jobs, that can be applied to data in HDFS files You install and load this package as you would any other R package. Using simple R functions, you can perform tasks such as: Access and transform HDFS data using a Hive-enabled transparency layer Use the R language for writing mappers and reducers Copy data between R memory, the local file system, HDFS, Hive, and Oracle databases Schedule R programs to execute as Hadoop MapReduce jobs and return the results to any of those locations Oracle SQL Connector for Hadoop Distributed File System Using Oracle SQL Connector for HDFS, you can use an Oracle Database to access and analyze data residing in Hadoop in these formats: Data Pump files in HDFS Delimited text files in HDFS Hive tables For other file formats, such as JSON files, you can stage the input in Hive tables before using Oracle SQL Connector for HDFS. Oracle SQL Connector for HDFS uses external tables to provide Oracle Database with read access to Hive tables, and to delimited text files and Data Pump files in HDFS. Related Documentation Cloudera's Distribution Including Apache Hadoop Library HTML Oracle R Enterprise HTML Oracle NoSQL Database HTML Recent Blog Posts Big Data Appliance vs. DIY Price Comparison Big Data: Architecture Overview Big Data: Achieve the Impossible in Real-Time Big Data: Vertical Behavioral Analytics Big Data: In-Memory MapReduce Flume and Hive for Log Analytics Building Workflows in Oozie

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• kubuntu muon package manager stop working

  - by aseed

  i have kubuntu today after updating the muon package manager stuck at 64% so i closes it. and after that when i try to update or reinstall or install software the manger stuck. so how can i reinstall the muon package manger from terminal?? i try sudo apt-get install muon and i get this messege Reading package lists... Done Building dependency tree Reading state information... Done muon is already the newest version. You might want to run 'apt-get -f install' to correct these: The following packages have unmet dependencies: libopencv-dev : Depends: libopencv-core-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-ml-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-imgproc-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-video-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-objdetect-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-gpu-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-highgui-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-calib3d-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-flann-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-features2d-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-legacy-dev (= 2.3.1-4ppa1) but it is not going to be installed Depends: libopencv-contrib-dev (= 2.3.1-4ppa1) but it is not going to be installed E: Unmet dependencies. Try 'apt-get -f install' with no packages (or specify a solution). so what to do, i need to reinstall it because it not working ~$ sudo dpkg --configure -a dpkg: dependency problems prevent configuration of libopencv-dev: libopencv-dev depends on libopencv-core-dev (= 2.3.1-4ppa1); however: Package libopencv-core-dev is not installed. libopencv-dev depends on libopencv-ml-dev (= 2.3.1-4ppa1); however: Package libopencv-ml-dev is not installed. libopencv-dev depends on libopencv-imgproc-dev (= 2.3.1-4ppa1); however: Package libopencv-imgproc-dev is not installed. libopencv-dev depends on libopencv-video-dev (= 2.3.1-4ppa1); however: Package libopencv-video-dev is not installed. libopencv-dev depends on libopencv-objdetect-dev (= 2.3.1-4ppa1); however: Package libopencv-objdetect-dev is not installed. libopencv-dev depends on libopencv-gpu-dev (= 2.3.1-4ppa1); however: Package libopencv-gpu-dev is not installed. libopencv-dev depends on libopencv-highgui-dev (= 2.3.1-4ppa1); however: Package libopencv-highgui-dev is not installed. libopencv-dev depends on libopencv-calib3d-dev (= 2.3.1-4ppa1); however: Package libopencv-calib3d-dev is not installed. libopencv-dev depends on libopencv-flann-dev (= 2.3.1-4ppa1); however: Package libopencv-flann-dev is not installed. libopencv-dev depends on libopencv-features2d-dev (= 2.3.1-4ppa1); however: Package libopencv-features2d-dev is not installed. libopencv-dev depends on libopencv-legacy-dev (= 2.3.1-4ppa1); however: Package libopencv-legacy-dev is not installed. libopencv-dev depends on libopencv-contrib-dev (= 2.3.1-4ppa1); however: Package libopencv-contrib-dev is not installed. dpkg: error processing libopencv-dev (--configure): dependency problems - leaving unconfigured Errors were encountered while processing: libopencv-dev sudo apt-get install -f sudo dpkg --configure -a and still same problem... and i think getting this problem because of updating kubuntu today

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• "No more PTYs" when trying to start screen

  - by Attila Oláh

  When I try to start 'screen' or 'byobu', I get the following error message: $ screen No more PTYs. Sorry, could not find a PTY. [screen is terminating] I seem to have enough though: $ ls /dev/pts $ cat /proc/sys/kernel/pty/nr 0 $ cat /proc/sys/kernel/pty/max 4096 Some more info: $ uname -a Linux cube.mydedi.net 2.6.18-194.8.1.el5.028stab070.5 #1 SMP Fri Sep 17 19:10:36 MSD 2010 x86_64 x86_64 x86_64 GNU/Linux If you need any more info please comment. This is on a low-end VPS, but it used to work just fine, until it stopped working. Everything else seems to be fine though.

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• SQLAuthority News – Download Whitepaper – SQL Server 2008 R2 Analysis Services Operations Guide

  - by pinaldave

  SQL Server Analysis Service (SSAS) has been always interesting subject for research. Analysis Services cubes are a very powerful tool in the hands of the business intelligence (BI) developer. They provide an easy way to expose even large data models directly to business users. Microsoft has published very informative white paper on Analysis Services Operations Guide. This white paper is authored by Thomas Kejser, John Sirmon, and Denny Lee. In this guide you will find information on how to test and run Microsoft SQL Server Analysis Services in SQL Server 2005, SQL Server 2008, and SQL Server 2008 R2 in a production environment. The focus of this guide is how you can test, monitor, diagnose, and remove production issues on even the largest scaled cubes. This paper also provides guidance on how to configure the server for best possible performance. It is the goal of this guide to make your operations processes as painless as possible, and to have you run with the best possible performance without any additional development effort to your deployed cubes. In this guide, you will learn how to get the best out of your existing data model by making changes transparent to the data model and by making configuration changes that improve the user experience of the cube. Download SQL Server 2008 R2 Analysis Services Operations Guide Note: Abstract taken white paper. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Download, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, SQLAuthority News, T SQL, Technology

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