Search Results

Search found 359 results on 15 pages for 'comparable'.

Page 11/15 | < Previous Page | 7 8 9 10 11 12 13 14 15  | Next Page >

  • Upgrade to Q9550 or i7 920 on a budget?

    - by evan
    I'm planning to upgrade my computer and torn between maxing out the system I have or investing in the X58 architecture. I'm currently using a E6600 Core 2 Duo with 4GB of RAM (800mhz) on an Asus PK5-E motherboard which I built two years ago. My original plan was that one day I'd upgrade machine to 8GB (1066mhz, the max the PK5-E allows) and to the Core 2 QuadQ9550 to give the machine a good four years of life. However, that was before the i7 came out. I use my computer mainly for software development , which I do inside Virtual Machines, and the i7 seems ideal for that because it no longer is limited by the speed of the FSB? And when I looked into it, getting 8GB DDR3 RAM isn't much more expensive than the 8GB of DDR2 and the i7 920 is comparable in price to the Q9550, which doesn't make much sense to me? So the question is it worth swapping the motherboard out for around $250 and upgrading all three components or using that money on SSD or 10rpm drive for the existing system's OS/Apps/Virtual Machine drive? Or just put the $250 towards a completely new machine in a year or two? Would the i7 really give that much of boost compared to the Q9550 for what I'd be using it for? Thanks in advance for your input!!!

    Read the article

  • Servers - Buying New vs Buying Second-hand

    - by Django Reinhardt
    We're currently in the process of adding additional servers to our website. We have a pretty simple topology planned: A Firewall/Router Server infront of a Web Application Server and Database Server. Here's a simple (and technically incorrect) diagram that I used in a previous question to illustrate what I mean: We're now wondering about the specs of our two new machines (the Web App and Firewall servers) and whether we can get away with buying a couple of old servers. (Note: Both machines will be running Windows Server 2008 R2.) We're not too concerned about our Firewall/Router server as we're pretty sure it won't be taxed too heavily, but we are interested in our Web App server. I realise that answering this type of question is really difficult without a ton of specifics on users, bandwidth, concurrent sessions, etc, etc., so I just want to focus on the general wisdom on buying old versus new. I had originally specced a new Dell PowerEdge R300 (1U Rack) for our company. In short, because we're going to be caching as much data as possible, I focussed on Processor Speed and Memory: Quad-Core Intel Xeon X3323 2.5Ghz (2x3M Cache) 1333Mhz FSB 16GB DDR2 667Mhz But when I was looking for a cheap second-hand machine for our Firewall/Router, I came across several machines that made our engineer ask a very reasonable question: If we stuck a boat load of RAM in this thing, wouldn't it do for the Web App Server and save us a ton of money in the process? For example, what about a second-hand machine with the following specs: 2x Dual-Core AMD Opteron 2218 2.6Ghz (2MB Cache) 1000Mhz HT 16GB DDR2 667Mhz Would it really be comparable with the more expensive (new) server above? Our engineer postulated that the reason companies upgrade their servers to newer processors is often because they want to reduce their power costs, and that a 2.6Ghz processor was still a 2.6Ghz processor, no matter when it was made. Benchmarks on various sites don't really support this theory, but I was wondering what server admin thought. Thanks for any advice.

    Read the article

  • Why does Google Analytics use two domains?

    - by AKeller
    I'm building a distributed widget that is comparable to Google Analytics. Users will add a <script> tag to their site that references my widget's JavaScript file. The Google Analytics tracking code looks like this: var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-XXXXXXXX-X']); _gaq.push(['_trackPageview']); (function () { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Can anyone explain the reasoning behind separate HTTP and HTTPS hostnames? My instinct is to just secure the www address and then use the protocol-less syntax, like //www.google-analytics.com/ga.js. But I'm sure the Google Analytics architects put a lot of thought into this approach. I'd love to understand their logic before I follow/ignore their model.

    Read the article

  • file read performance degrades as number of files increases

    - by bfallik-bamboom
    We're observing poor file read IO results that we'd like to better understand. We can use fio to write 100 files with a sustained aggregate throughput of ~700MB/s. When we switch the test to read instead of write, the aggregate throughput is only ~55MB/s. The drop seems related to the number of files since the throughput for read and write are comparable for a single file then diverge proportionally as we increase the number of files. The test server has 24 CPU cores, 48GB of memory, and is running CentOS 6.0. The disk hardware is a RAID 6 array with 12 disks and a Dell H800 controller. This device is partitioned with ext4 using the default settings. Increasing the readahead (using blockdev) improves the read throughput significantly but it still doesn't match write speed. For instance, increasing the readahead from 128KB to 1M improved the read throughput to ~145MB/s. Is this a known performance issue in our OS/disk/filesystem configuration? If so, how can we tell? If not, what tools or tests can we use to further isolate the issue? Thanks.

    Read the article

  • Copy past speed very slow for a large number of files on Windows [closed]

    - by Arno2501
    I've run the following test I've created a folder containing 15'000 files of 400 bytes using this batch : @ECHO off SET times=15000 FOR /L %%i IN (1,1,%times%) DO ( fsutil file createnew filename%%i.txt 400 ) then I copy past it on my Windows Computer using this command : robocopy LargeNumberOfFiles\ LargeNumberOfFiles2\ After it has completed I can see that the transfer rate was 915810 Bytes/sec this is less than 1 MB/s. It took me several seconds to copy 7 MBytes Please note that this is very slow. I've tried the same with a folder with a single file of 50 Mbytes and the transfer rate is 1219512195 Bytes/sec. (yeah GB/s) instantaneous. Why copying large number of files take so much time - ressources on a windows filesystem ? Please note that I've tried to do the same on a linux system which runs on the same computer in a virtual machine (vmware player) with ext3 filesystem. I use the cp command and the copy is instantaneous ! Please also note the following : no antivirus I've tested that behaviour on multiple windows computers (always ntfs) i always get comparable results (transfer rate under 1MB/s avg 7-8 seconds to copy 7 MBytes) I've tested on multiple linux ext3 system the copy is always instantaneous for that amount (15000 files of 400 bytes) The question is about understanding what makes windows filesystem so slow to copy large number of files compared to a linux one for instance.

    Read the article

  • Challenge 19 – An Explanation of a Query

    - by Dave Ballantyne
    I have received a number of requests for an explanation of my winning query of TSQL Challenge 19. This involved traversing a hierarchy of employees and rolling a count of orders from subordinates up to superiors. The first concept I shall address is the hierarchyId , which is constructed within the CTE called cteTree.   cteTree is a recursive cte that will expand the parent-child hierarchy of the personnel in the table @emp.  One useful feature with a recursive cte is that data can be ‘passed’ from the parent to the child data.  The hierarchyId column is similar to the hierarchyId data type that was introduced in SQL Server 2008 and represents the position of the person within the organisation. Let us start with a simplistic example Albert manages Bob and Eddie.  Bob manages Carl and Dave. The hierarchyId will represent each person’s position in this relationship in a single field.  In this simple example we could append the userID together into a varchar field as detailed below. This will enable us to select a branch of the tree by filtering using Where hierarchyId  ‘1,2%’ to select Bob and all his subordinates.  Naturally, this is not comprehensive enough to provide a full solution, but as opposed to concatenating the Id’s together into a varchar datatyped column, we can apply the same theory to a varbinary.  By CASTing the ID’s into a datatype of varbinary(4) ,4 is used as 4 bytes of data are used to store an integer and building a hierarchyId  from those.  For example: The important point to bear in mind for later in the query is that the binary data generated is 'byte order comparable'. ie We can ORDER a dataset with it and the resulting data, will be in the order required. Now, would probably be a good time to download the example file and, after the cte ‘cteTree’, uncomment the line ‘select * from cteTree’.  Mark this and all prior code and execute.  This will show you how this theory directly relates to the actual challenge data.  The only deviation from the above, is that instead of using the ID of an employee, I have used the row_number() ranking function to order each level by LastName,Firstname.  This enables me to order by the HierarchyId in the final result set so that the result set is in the required order. Your output should be something like the below.  Notice also the ‘Level’ Column that contains the depth that the employee is within the tree.  I would encourage you to ‘play’ with the query, change the order in the row_number() or the length of the cast in the hierarchyId to see how that effects the outcome.  The next cte, ‘cteTreeWithOrderCount’, is a join between cteTree and the @ord table, and COUNT’s the number of orders per employee.  A LEFT JOIN is employed here to account for the occasion where an employee has made no sales.   Executing a ‘Select * from cteTreeWithOrderCount’ will return the result set as below.  The order here is unimportant as this is only a staging point of the data and only the final result set in a cte chain needs an Order by clause, unless TOP is utilised. cteExplode joins the above result set to the tally table (Nums) for Level Occurances.  So, if level is 2 then 2 rows are required.  This is done to expand the dataset, to create a new column (PathInc), which is the (n+1) integers contained within the heirarchyid.  For example, with the data for Robert King as given above, the below 3 rows will be returned. From this you can see that the pathinc column now contains the values for Andrew Fuller and Steven Buchanan who are Robert King’s superiors within the tree.    Finally cteSumUp, sums the orders for each person and their subordinates using the PathInc generated above, and the final select does the final simple mathematics and filters to restrict the result set to only the ‘original’ row per employee.

    Read the article

  • Pie Charts Just Don't Work When Comparing Data - Number 10 of Top 10 Reasons to Never Ever Use a Pie

    - by Tony Wolfram
    When comparing data, which is what a pie chart is for, people have a hard time judging the angles and areas of the multiple pie slices in order to calculate how much bigger one slice is than the others. Pie Charts Don't Work A slice of pie is good for serving up a portion of desert. It's not good for making a judgement about how big the slice is, what percentage of 100 it is, or how it compares to other slices. People have trouble comparing angles and areas to each other. Controlled studies show that people will overestimate the percentage that a pie slice area represents. This is because we have trouble calculating the area based on the space between the two angles that define the slice. This picture shows how a pie chart is useless in determing the largest value when you have to compare pie slices.   You can't compare angles and slice areas to each other. Human perception and cognition is poor when viewing angles and areas and trying to make a mental comparison. Pie charts overload the working memory, forcing the person to make complicated calculations, and at the same time make a decision based on those comparisons. What's the point of showing a pie chart when you want to compare data, except to say, "well, the slices are almost the same, but I'm not really sure which one is bigger, or by how much, or what order they are from largest to smallest. But the colors sure are pretty. Plus, I like round things. Oh,was I suppose to make some important business decision? Sorry." Bad Choices and Bad Decisions Interaction Designers, Graphic Artists, Report Builders, Software Developers, and Executives have all made the decision to use pie charts in their reports, software applications, and dashboards. It was a bad decision. It was a poor choice. There are always better options and choices, yet the designer still made the decision to use a pie chart. I'll expore why people make such poor choices in my upcoming blog entires. (Hint: It has more to do with emotions than with analytical thinking.) I've outlined my opinions and arguments about the evils of using pie charts in "Countdown of Top 10 Reasons to Never Ever Use a Pie Chart." Each of my next 10 blog entries will support these arguments with illustrations, examples, and references to studies. But my goal is not to continuously and endlessly rage against the evils of using pie charts. This blog is not about pie charts. This blog is about understanding why designers choose to use a pie chart. Why, when give better alternatives, and acknowledging the shortcomings of pie charts, do designers over and over again still freely choose to place a pie chart in a report? As an extra treat and parting shot, check out the nice pie chart that Wikipedia uses to illustrate the United States population by state.   Remember, somebody chose to use this pie chart, with all its glorious colors, and post it on Wikipedia for all the world to see. My next blog will give you a better alternative for displaying comparable data - the sorted bar chart.

    Read the article

  • Algorithm to Find the Aggregate Mass of "Granola Bar"-Like Structures?

    - by Stuart Robbins
    I'm a planetary science researcher and one project I'm working on is N-body simulations of Saturn's rings. The goal of this particular study is to watch as particles clump together under their own self-gravity and measure the aggregate mass of the clumps versus the mean velocity of all particles in the cell. We're trying to figure out if this can explain some observations made by the Cassini spacecraft during the Saturnian summer solstice when large structures were seen casting shadows on the nearly edge-on rings. Below is a screenshot of what any given timestep looks like. (Each particle is 2 m in diameter and the simulation cell itself is around 700 m across.) The code I'm using already spits out the mean velocity at every timestep. What I need to do is figure out a way to determine the mass of particles in the clumps and NOT the stray particles between them. I know every particle's position, mass, size, etc., but I don't know easily that, say, particles 30,000-40,000 along with 102,000-105,000 make up one strand that to the human eye is obvious. So, the algorithm I need to write would need to be a code with as few user-entered parameters as possible (for replicability and objectivity) that would go through all the particle positions, figure out what particles belong to clumps, and then calculate the mass. It would be great if it could do it for "each" clump/strand as opposed to everything over the cell, but I don't think I actually need it to separate them out. The only thing I was thinking of was doing some sort of N2 distance calculation where I'd calculate the distance between every particle and if, say, the closest 100 particles were within a certain distance, then that particle would be considered part of a cluster. But that seems pretty sloppy and I was hoping that you CS folks and programmers might know of a more elegant solution? Edited with My Solution: What I did was to take a sort of nearest-neighbor / cluster approach and do the quick-n-dirty N2 implementation first. So, take every particle, calculate distance to all other particles, and the threshold for in a cluster or not was whether there were N particles within d distance (two parameters that have to be set a priori, unfortunately, but as was said by some responses/comments, I wasn't going to get away with not having some of those). I then sped it up by not sorting distances but simply doing an order N search and increment a counter for the particles within d, and that sped stuff up by a factor of 6. Then I added a "stupid programmer's tree" (because I know next to nothing about tree codes). I divide up the simulation cell into a set number of grids (best results when grid size ˜7 d) where the main grid lines up with the cell, one grid is offset by half in x and y, and the other two are offset by 1/4 in ±x and ±y. The code then divides particles into the grids, then each particle N only has to have distances calculated to the other particles in that cell. Theoretically, if this were a real tree, I should get order N*log(N) as opposed to N2 speeds. I got somewhere between the two, where for a 50,000-particle sub-set I got a 17x increase in speed, and for a 150,000-particle cell, I got a 38x increase in speed. 12 seconds for the first, 53 seconds for the second, 460 seconds for a 500,000-particle cell. Those are comparable speeds to how long the code takes to run the simulation 1 timestep forward, so that's reasonable at this point. Oh -- and it's fully threaded, so it'll take as many processors as I can throw at it.

    Read the article

  • SQLAuthority News – Amazon Gift Card Raffle for Beta Tester Feedback for NuoDB

    - by pinaldave
    As regular readers know I’ve been spending some time working with the NuoDB beta software. They contacted me last week and asked if I would give you a chance to try their new web-based console for their scalable, SQL-compliant database. They have just put out their final beta release, Beta 9.  It contains a preview of a new web-based “NuoConsole” that will replace and extend the functionality of their current desktop version.  I haven’t spent any time with the new console yet but a really quick look tells me it should make it easier to do deeper monitoring than the older one. It also looks like they have added query-level reporting through the console. I will try to play with it soon. NuoDB is doing a last, big push to get some more feedback from developers before they release their 1.0 product sometime in the next several weeks. Since the console is new, they are especially interested in some quick feedback on it before general availability. For SQLAuthority readers only, NuoDB will raffle off three $50 Amazon gift cards in exchange for your feedback on the NuoConsole preview. Here’s how to Enter Download NuoDBeta 9 here You must build a domain before you can start the console. Launch the Web Console. Windows Code: start java -jar jarnuodbwebconsole.jar Mac, Linux, Solaris, Unix Code: java -jar jar/nuodbwebconsole.jar Access the Web Console: Code: http://localhost:8080 When you have tried it out, go to a short (8 question) survey to enter the raffle Click here for the survey You must complete the survey before midnight EDT on October 17, 2012. Here’s what else they are saying about this last beta before general availability: Beta 9 now supports the Zend PHP framework so that PHP developers can directly integrate web applications with NuoDB. Multi-threaded HDFS support – NuoDB Storage Managers can now be configured to persist data to the high performance Hadoop distributed file system (HDFS). Beta 9 optimizes for multi-thread I/O streams at maximum performance. This enhancement allows users to make Hadoop their core storage with no extra effort which is a pretty cool idea. Improved Performance –On a single transaction node, Beta 9 offers performance comparable with MySQL and MariaDB. As additional nodes are added, NuoDB performance improves significantly at near linear scale. Query & Explain Plan Logging – Beta 9 introduces SQL explain plans for your queries. Qualify queries with the word “EXPLAIN” and NuoDB will respond with the details of the execution plan allowing performance optimization to SQL. Through the NuoConsole, you can now kill hung or long running queries. Java App Server Support – Beta 9 now supports leading Web JEE app servers including JBoss, Tomcat, and ColdFusion. They’ve also reported: Improved PHP/PDO drivers Support for Drupal Faster Ruby on Rails driver The Hibernate Dialect supports version 4.1 And good news for my readers: numerous SQL enhancements They will share the results of the web console feedback with me.  I’ll let you know how it goes. Also the winner of their last contest was Jaime Martínez Lafargue!  Do leave a comment here once you complete the survey.  Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: SQL Authority Tagged: NuoDB

    Read the article

  • MIXing it Up a Bit

    - by andrewbrust
    Another March, another MIX.  For the fifth year running now, Microsoft has chosen to put on a conference aimed less at software development, per se, and more at the products, experiences and designs that software development can generate.  In all four prior MIX events, the focus of the show, its keynotes and breakout sessions has been on Web products.  On day 1 of MIX 2010 that focus shifted to Windows Phone 7 Series (WP7). What little we had seen of WP7 had been shown to us in a keynote presentation, given by Microsoft’s Joe Belfiore, at the Mobile World Congress in Barcelona, Spain last month.  And today, Mr. Belfiore reprised his showmanship for the MIX 2010 audience.  Joe showed us the ins and outs of WP7 and, in a breakout session, even gave us a sneak peek of Office (specifically, Excel) on WP7.  We didn’t get to see that one month ago in Barcelona, nor did get to see email messages opened for reading, which we saw today. But beyond a tour of the phone itself, impressive though that is, we got to see apps running on it.  Those apps included Associated Press news, Seesmic (a major Twitter client) and Foursquare (a social media darling).  All three ran, ran well, and looked markedly different and better from their corresponding versions on iPhone and Android.  And the games we saw looked even better. To me though, the best demos involved the creation of WP7 apps, using Silverlight in Visual Studio and Expression Blend.  These demos were so effective because they showed important apps being built in very few steps, and by Microsoft executives to boot.  Scott Guthrie showed us how to build a Twitter API app in Visual Strudio.   Jon Harris showed us how to build a photo management and viewer application in Expression Blend, using virtually no code.  Demos of apps built from scratch to F5 without the benefit of a teacher, could be challenging.  But they went off fine, without a hitch and without a ton of opaque, generated code.  Everything written, be it C# or XAML, was easily understood, and the results were impressive. That means lots of developers can do this, and I think it means a lot will.  What I’ve seen, thus far, of iPhone and Android development looks very tedious by comparison.  Development for those platforms involve a collection of tools that integrate only to a point.  Dev work for WP7 involves use of Visual Studio, Silverlight and the same debugging experience .NET developers already know.  This was very exciting for me. All the demos harkened back to days of building apps for with Visual Basic…design the front-end, put in code-behind and then hit F5.  And that makes sense, because the phone platform, and the PC of the early 90s are both, essentially, client OS machines.  The Web was minimal and the “device” was everything. Same is true of this phone.  It’s a client app contraption that fits in your pocket. And if the platforms are comparable, hopefully so too will be the draw of ease-of-development.   WP7 has the potential to make mobile developers want to switch over, and to convince enterprise developers to get into the phone scene.  Will this propel the new phone platform to new heights, and restore Microsoft’s competiveness in the mobile arena? I hope so.  I think so.  And if Microsoft uses developers to build themselves a victory, that would be beneficial and would show that Microsoft has learned from its failures, as well as its successes.  Today I saw a few beautiful apps.  Tomorrow I hope I see a slew of others; maybe not as polished, but plentiful, attractive and stable.  That would be a victory for Microsoft, and for developers.  And it would show everyone else that developers are the kingmakers.  They need cheap, efficient dev tools and lots of respect.  Microsoft has always been the company to provide that.  Hopefully, with WP7, they will return to that persona and see how very timeless it is.

    Read the article

  • Merge sort versus quick sort performance

    - by Giorgio
    I have implemented merge sort and quick sort using C (GCC 4.4.3 on Ubuntu 10.04 running on a 4 GB RAM laptop with an Intel DUO CPU at 2GHz) and I wanted to compare the performance of the two algorithms. The prototypes of the sorting functions are: void merge_sort(const char **lines, int start, int end); void quick_sort(const char **lines, int start, int end); i.e. both take an array of pointers to strings and sort the elements with index i : start <= i <= end. I have produced some files containing random strings with length on average 4.5 characters. The test files range from 100 lines to 10000000 lines. I was a bit surprised by the results because, even though I know that merge sort has complexity O(n log(n)) while quick sort is O(n^2), I have often read that on average quick sort should be as fast as merge sort. However, my results are the following. Up to 10000 strings, both algorithms perform equally well. For 10000 strings, both require about 0.007 seconds. For 100000 strings, merge sort is slightly faster with 0.095 s against 0.121 s. For 1000000 strings merge sort takes 1.287 s against 5.233 s of quick sort. For 5000000 strings merge sort takes 7.582 s against 118.240 s of quick sort. For 10000000 strings merge sort takes 16.305 s against 1202.918 s of quick sort. So my question is: are my results as expected, meaning that quick sort is comparable in speed to merge sort for small inputs but, as the size of the input data grows, the fact that its complexity is quadratic will become evident? Here is a sketch of what I did. In the merge sort implementation, the partitioning consists in calling merge sort recursively, i.e. merge_sort(lines, start, (start + end) / 2); merge_sort(lines, 1 + (start + end) / 2, end); Merging of the two sorted sub-array is performed by reading the data from the array lines and writing it to a global temporary array of pointers (this global array is allocate only once). After each merge the pointers are copied back to the original array. So the strings are stored once but I need twice as much memory for the pointers. For quick sort, the partition function chooses the last element of the array to sort as the pivot and scans the previous elements in one loop. After it has produced a partition of the type start ... {elements <= pivot} ... pivotIndex ... {elements > pivot} ... end it calls itself recursively: quick_sort(lines, start, pivotIndex - 1); quick_sort(lines, pivotIndex + 1, end); Note that this quick sort implementation sorts the array in-place and does not require additional memory, therefore it is more memory efficient than the merge sort implementation. So my question is: is there a better way to implement quick sort that is worthwhile trying out? If I improve the quick sort implementation and perform more tests on different data sets (computing the average of the running times on different data sets) can I expect a better performance of quick sort wrt merge sort? EDIT Thank you for your answers. My implementation is in-place and is based on the pseudo-code I have found on wikipedia in Section In-place version: function partition(array, 'left', 'right', 'pivotIndex') where I choose the last element in the range to be sorted as a pivot, i.e. pivotIndex := right. I have checked the code over and over again and it seems correct to me. In order to rule out the case that I am using the wrong implementation I have uploaded the source code on github (in case you would like to take a look at it). Your answers seem to suggest that I am using the wrong test data. I will look into it and try out different test data sets. I will report as soon as I have some results.

    Read the article

  • SharePoint 2013 Developer Ramp-Up - Part 1

    Today I had a little spare time during the morning hours and I decided that after checking MVA that I'm going to query the available course material over at Pluralsight. Wow, thanks to fantastic corporations and acquisitions there are lots of courses available. Nicely split by SharePoint version as well as particular interest group. Additionally, I found a couple of online blogs and community sites that I'm going to visit regularly during the next couple of weeks. Today's resource(s) Of course, I'm "all in" for the latest developer resources: SharePoint 2013 Developer Ramp-Up - Part 1 - Understanding the Platform and Developer Experience SharePoint 2013 Developer Ramp-Up - Part 2 SharePoint 2013 Developer Ramp-Up - Part 3 SharePoint 2013 Developer Ramp-Up - Part 4 SharePoint 2013 Developer Ramp-Up - Part 5 SharePoint 2013 Developer Ramp-Up - Part 6 I guess, I'm going to stick to the Pluralsight library until the end of this week. We'll see... Anyway, apart from the video material I came across a couple of other websites which I'd like to list here, too. That's mainly for personal reference instead of bookmarking in the browser, I'll use my own blog for that purpose. Atkinson's SharePoint Blog Düsseldorfer Jung Doerflers SharePoint Blog SharePoint Community Absolute SharePoint The links are in no preferential order and I added them as soon as I found them. Most probably, I'm going to report about specific articles from those resources during this challenge. So, stay tuned and I try to provide more details on certain topics. Takeaway First contact with the 'real stuff' in order to get an idea about software development in Microsoft SharePoint and beyond. Unfortunately and as already expected, the marketing department over at Microsoft seemed to have nothing better to do than to invent new names and baptise literally the same product with every release. Luckily, the release cycles between versions have been three years (roughly) - 2007, 2010, and 2013. Nonetheless, there will be a lot of version-specfic issues to tackle during this learning phase. Especially, when it's about historical expressions like 'WSS'* like I had it yesterday... It's going to be exciting and demanding to catch up with roughly 6-7 years of development and changes. Okay, let's face it. * WSS stands for Windows SharePoint Services 3.0 which forms the 'core engine' of SharePoint 2007. Part 1 of Andrew Connell's series on SharePoint 2013 for developers provides a brief history and overview of the various product names and their relation to the actual SharePoint version. I guess, I might create a cheat-sheet or something comparable in order to reduce the level of confusion while reading through other material: SharePoint 2007 (aka SharePoint v3 aka SharePoint 12) Windows SharePoint Services (WSS) 3.0 Microsoft Office SharePoint Server (MOSS) 2007 .NET Framework 3.0, 32-bit or 64-bit OS SharePoint 2010 (aka SharePoint v4 aka SharePoint 14) Microsoft SharePoint Foundation (SPF) 2010 Microsoft SharePoint Server (SPS) 2010 .NET Framework 3.5 SP1, 64-bit OS only SharePoint 2013 Microsoft SharePoint Foundation (SPF) 2013 Microsoft SharePoint Server (SPS) 2013 .NET Framework 4.5, 64-bit OS only After this quick excursion it is getting more interesting. SharePoint 2013 has a number of Development Practices and Techniques under the hood, and it will be quite a decision process depending on the task requirements to choose the correct path to go. At the moment, the following two options seem to be my future fields of operation: Client-Side Object Model (CSOM) REST API and OData syntax As part of my job assignment, I see myself developing within Visual Studio 2012/2013. Most probably the client development in C# will be using CSOM but of course I'll keep an eye on the REST API, too. JavaScript has quite a momentum since a while and it would a shame to ignore this type of opportunity and possibilities.

    Read the article

  • Educational, well-written FOSS projects to read, study or discuss

    - by Godot
    Before you say it: yes, this "question" has been asked other times. However, I could not fine many of such questions and not that easily, and those I found had similar results. What I'm trying to say that there are no comprehensive lists of well written Open Source projects, so I decided to set some requirements for the entries (one or possibly more): Idiomatic use of the language in which they are written The project should be lightweight. Not as in "a few kbs", as in "clean" and possibly following the UNIX philosophy, making an efficient use of resources and performing its duty and nothing more. No code bloat, most importantly. Projects like Firefox and GNOME wouldn't qualify, for example. Minimal reliance on external, non-standard libraries, with exceptions for some common FOSS libraries (curses, Xlib, OpenGL and possibly "usual suspects" like gtk+, webkit and Boost). Reliance on well-written libraries is welcome. No reliance on proprietary software - for obvious reasons (programs that rely on XNA, DirectX, Cocoa and similar, for example). Well-documented code is welcome. Include link to web interfaces to their repositories if possible. Here are some sample projects that often pop up in these threads: Operating Systems Plan 9 from Bell Labs: More or less, the official "sequel" to UNIX. Written in C by the same people who invented C! NetBSD: The most portable BSD implementation, written in C and also a good example of portable and organized code. Network and Databases Sqlite: Extremely lightweight and extremely efficient, one of the best pieces of C software I've seen. Count the lines yourself! Lighttpd: A small but pretty reliable web server written in C. Programming languages and VMs Lua: extremely lightweight multi-paradigm programming language. Written in C. Tiny C Compiler: Really tiny C compiler. Not really comparable to GCC or Clang but does its job. PyPy: A Python implementation written in Python. Pharo: OK, I admit it, I'm not really a Smalltalk expert but Pharo is a fork of Squeak and looked rather interesting. Stackless Python - An implementation of Python that doesn't rely on the C call stack - written in C (with some parts in Python) Games and 3D: Angband: One of the most accessible roguelike codebases around here, written in C. Ogre3D: Cross-platform 3D engine. Gets bloated if you don't skip the platform-specific implementation code, otherwise is a pretty solid example of good C++ OO. Simon Tatham's Portable Puzzle Collection: Title says it all. Other - dwm: Lightweight window manager. Written in C. Emulation and Reverse Engineering - Bochs: x86 emulator, written in C++ and tiny enough. - MAME: If you want to see C at one of its lowest levels, MAME is for you. May not be as clean as the other projects but it can teach you A LOT. Before you ask: I didn't mention Linux because it has become quite bloated in the last few years, Linus has also confirmed it. Nonetheless, it'd be a great educational read the same, even if for other reasons. Same for GCC. Feel free to edit or wikify my post. I hope you won't lock my question, I'm only trying to organize a little community effort for the good of all those people who want to enhance their coding skills.

    Read the article

  • Using HTML5 Today part 3&ndash; Using Polyfills

    - by Steve Albers
    Shims helps when adding semantic tags to older IE browsers, but there is a huge range of other new HTML5 features that having varying support on browsers.  Polyfills are JavaScript code and/or browser plug-ins that can provide older or less featured browsers with API support.  The best polyfills will detect the whether the current browser has native support, and only adds the functionality if necessary.  The Douglas Crockford JSON2.js library is an example of this approach: if the browser already supports the JSON object, nothing changes.  If JSON is not available, the library adds a JSON property in the global object. This approach provides some big benefits: It lets you add great new HTML5 features to your web sites sooner. It lets the developer focus on writing to the up-and-coming standard rather than proprietary APIs. Where most one-off legacy code fixes tends to break down over time, well done polyfills will stop executing over time (as customer browsers natively support the feature) meaning polyfill code may not need to be tested against new browsers since they will execute the native methods instead. Your should also remember that Polyfills represent an entirely separate code path (and sometimes plug-in) that requires testing for support.  Also Polyfills tend to run on older browsers, which often have slower JavaScript performance.  As a result you might find that performance on older browsers is not comparable. When looking for Polyfills you can start by checking the Modernizr GitHub wiki or the HTML5 Please site. For an example of a polyfill consider a page that writes a few geometric shapes on a <canvas> <script src="jquery-1.7.1.min.js"><script> <script> $(document).ready(function () { drawCanvas(); }); function drawCanvas() { var context = $("canvas")[0].getContext('2d'); //background context.fillStyle = "#8B0000"; context.fillRect(5, 5, 300, 100); // emptybox context.strokeStyle = "#B0C4DE"; context.lineWidth = 4; context.strokeRect(20, 15, 80, 80); // circle context.arc(160, 55, 40, 0, Math.PI * 2, false); context.fillStyle = "#4B0082"; context.fill(); </script>   The result is a simple static canvas with a box & a circle:   …to enable this functionality on a pre-canvas browser we can find a polyfill.  A check on html5please.com references  FlashCanvas.  Pull down the zip and extract the files (flashcanvas.js, flash10canvas.swf, etc) to a directory on your site.  Then based on the documentation you need to add a single line to your original HTML file: <!--[if lt IE 9]><script src="flashcanvas.js"></script><![endif]—> …and you have canvas functionality!  The IE conditional comments ensure that the library is only loaded in browsers where it is useful, improving page load & processing time. Like all Polyfills, you should test to verify the functionality matches your expectations across browsers you need to support.  For instance the Flash Canvas home page advertises 70% support of HTML5 Canvas spec tests.

    Read the article

  • AndroMDA maven code generation and JPA Annotations

    - by ArsenioM
    I am using the AndroMDA plugin for maven to generate code from an uml diagram made in MagicDraw. When the code is generated, AndroMDA desings the JPA annotation for the persitence layer. I think that at the compilation process AndroMDA uses Naming Strategies to determine the Table and Column names for the DataBase. I want to determine how AndroMDA desings this JPA annotations, because I need to display this DataBase names based on the UML entity and atributtes names. I was regarding if there is an API of AndroMDA that I could use to do this by giving it the uml diagram. Or at least, to know the Naming Strategies used by AndroMDA to achive that. AndroMDA at the compilation process design the JPA annotations for the Entities, Attributes, etc that are written in my java classes under a series of rules that exist within the EJB3 cartridge of AndroMDA. (The further Database is created using those JPA annotations). I want to create a program that returns me the same Table and Attributes names wrote on the JPA annotations, by giving it the .xml file of the uml diagram of a project. I was hoping that I could take advantage of the EJB3 cartridge to generate those Tables and Attribute names with my program. One way could be using an API of AndroMDA that do this(if it exits), or at least, by implementing the same rules used by the EJB3 cartridge for that matter. To be more illustrative, For example: If in my uml model I have an Entity called “CompanyGroup”, AndroMDA would generate the following code for the class definition: @javax.persistence.Entity @javax.persistence.Table(name = "COMPANY_GR") Public class CompanyGroup implements java.io.Serializable, Comparable< CompanyGroup This is just an example (not a real case), but nevertheless, the way how AndroMDA do the translation from “CompanyGroup” to “COMPANY_GR” has to be specified somewhere. Hope this explanation is useful enough. Thanks.

    Read the article

  • Slow XML-RPC in Windows 7 with XML-RPC.NET

    - by Emre Sahin
    I'm considering to use XML-RPC.NET to communicate with a Linux XML-RPC server written in Python. I have tried a sample application (MathApp) from Cook Computing's XML-RPC.NET but it took 30 seconds for the app to add two numbers within the same LAN with server. I have also tried to run a simple client written in Python on Windows 7 to call the same server and it responded in 5 seconds. The machine has 4 GB of RAM with comparable processing power so this is not an issue. Then I tried to call the server from a Windows XP system with Java and PHP. Both responses were pretty fast, almost instantly. The server was responding quickly on localhost too, so I don't think the latency arise from server. My googling returned me some problems regarding Windows' use of IPv6 but our call to server does include IPv4 address (not hostname) in the same subnet. Anyways I turned off IPv6 but nothing changed. Are there any more ways to check for possible causes of latency?

    Read the article

  • Hashtable comparator problem

    - by user288245
    Hi guys i've never written a comparator b4 and im having a real problem. I've created a hashtable. Hashtable <String, Objects> ht; Could someone show how you'd write a comparator for a Hashtable? the examples i've seen overide equals and everything but i simply dont have a clue. The code below is not mine but an example i found, the key thing in hashtables means i cant do it like this i guess. public class Comparator implements Comparable<Name> { private final String firstName, lastName; public void Name(String firstName, String lastName) { if (firstName == null || lastName == null) throw new NullPointerException(); this.firstName = firstName; this.lastName = lastName; } public String firstName() { return firstName; } public String lastName() { return lastName; } public boolean equals(Object o) { if (!(o instanceof Name)) return false; Name n = (Name)o; return n.firstName.equals(firstName) && n.lastName.equals(lastName); } public int hashCode() { return 31*firstName.hashCode() + lastName.hashCode(); } public String toString() { return firstName + " " + lastName; } public int compareTo(Name n) { int lastCmp = lastName.compareTo(n.lastName); return (lastCmp != 0 ? lastCmp : firstName.compareTo(n.firstName)); } }

    Read the article

  • Mac, PDFKit, PDF/X

    - by PhillipeTKern
    I'm in need of generating and viewing PDF/X-1a. After spending quite some time I came to the conclusion that the only way (hopefully someone will prove me wrong) to achieve this is to use Cocoa. More context: I need to generate PDF/X-1a, that is, all the fonts embeded, spot colors, overprint, ... preferably from Python. But the only libraries which support such things are iText and perhaps and Apache FOP. The first one could be used with Jython, which is ok but not optimal. But then, I simply could not find any viable viewer. Poppler, xpdf, Sumatra, mupdf, ghostscirpt - all of them - just cannot handle large CMYK pdfs, lots of text, ... I really would like to use open sourced libraries but unfortuntatelly the only option I see right now is to buy Mac as I saw one could print (Save-as) to built-in PDF printer under PDF/X conformance and I expect Preview to be comparable, if not better, to Acrobat. But I'm not sure if is it even possible to programmatically access the MacOS libraries responsible for generating PDF? I'm asking because I heard not everything from MacOS is available via public API... (And what Python goes, I thought I could use PyObjC..?) Any others ideas are of course very welcomed!

    Read the article

  • Hibernate: order multiple one-to-many relations

    - by Markos Fragkakis
    I have a search screen, using JSF, JBoss Seam and Hibernate underneath. There are columns for A, B and C, where the relations are as follows: A (1< -- ) B (1< -- ) C A has a List< B and B has a List< C (both relations are one-to-many). The UI table supports ordering by any column (ASC or DESC), so I want the results of the query to be ordered. This is the reason I used Lists in the model. However, I got an exception that Hibernate cannot eagerly fetch multiple bags (it considers both lists to be bags). There is an interesting blog post here, and they identify the following solutions: Use @IndexColumn annotation (there is none in my DB, and what's more, I want the position of results to be determined by the ordering, not by an index column) Fetch lazily (for performance reasons, I need eager fetching) Change List to Set So, I changed the List to Set, which by the way is more correct, model-wise. First, if don't use @OrderBy, the PersistentSet returned by Hibernate wraps a HashSet, which has no ordering. Second, If I do use @OrderBy, the PersistentSet wraps a LinkedHashSet, which is what I would like, but the OrderBy property is hardcoded, so all other ordering I perform through the UI comes after it. I tried again with Sets, and used SortedSet (and its implementation, TreeSet), but I have some issues: I want ordering to take place in the DB, and not in-memory, which is what TreeSet does (either through a Comparator, or through the Comparable interface of the elements). Second, I found that there is the Hibernate annotation @Sort, which has a SortOrder.UNSORTED and you can also set a Comparator. I still haven't managed to make it compile, but I am still not convinced it is what I need. Any advice?

    Read the article

  • problem while removing an element from the TreeSet

    - by harshit
    I am doing the following class RuleObject implements Comparable{ @Override public String toString() { return "RuleObject [colIndex=" + colIndex + ", probability=" + probability + ", rowIndex=" + rowIndex + ", rule=" + rule + "]"; } String rule; double probability; int rowIndex; int colIndex; public RuleObject(String rule, double probability) { this.rule = rule; this.probability = probability; } @Override public int compareTo(Object o) { RuleObject ruleObj = (RuleObject)o; System.out.println(ruleObj); System.out.println("---------------"); System.out.println(this); if(ruleObj.probability > probability) return 1; else if(ruleObj.probability < probability) return -1; else{ if(ruleObj.colIndex == this.colIndex && ruleObj.rowIndex == this.rowIndex && ruleObj.probability == this.probability && ruleObj.rule.equals(this.rule)) return 0; } return 1; } } And I have a TreeSet containing elements of RuleObject. I am trying to do the following : System.out.println(sortedHeap.size()); RuleObject ruleObj = sortedHeap.first(); sortedHeap.remove(ruleObj); System.out.println(sortedHeap.size()); I can see that the size of set remains same. I am not able to understand why is it not being deleted. Also while deleting I could see compareTo method is called. But it is called for only 3 object whereas in set there are 8 objects. Thanks

    Read the article

  • Natural language grammar and user-entered names

    - by Owen Blacker
    Some languages, particularly Slavic languages, change the endings of people's names according to the grammatical context. (For those of you who know grammar or studied languages that do this to words, such as German or Russian, and to help with search keywords, I'm talking about noun declension.) This is probably easiest with a set of examples (in Polish, to save the whole different-alphabet problem): Dorothy saw the cat — Dorota zobaczyla kota The cat saw Dorothy — Kot zobaczyl Dorote It is Dorothy’s cat — To jest kot Doroty I gave the cat to Dorothy — Dalam kota Dorotie I went for a walk with Dorothy — Poszlam na spacer z Dorota “Hello, Dorothy!” — “Witam, Doroto!” Now, if, in these examples, the name here were to be user-entered, that introduces a world of grammar nightmares. Importantly, if I went for Katie (Kasia), the examples are not directly comparable — 3 and 4 are both Kasi, rather than *Kasy and *Kasie — and male names will be wholly different again. I'm guessing someone has dealt with this situation before, but my Google-fu appears to be weak today. I can find a lot of links about natural-language processing, but I don'think that's quite what I want. To be clear: I'm only ever gonna have one user-entered name per user and I'm gonna need to decline them into known configurations — I'll have a localised text that will have placeholders something like {name nominative} and {name dative}, for the sake of argument. I really don't want to have to do lexical analysis of text to work stuff out, I'll only ever need to decline that one user-entered name. Anyone have any recommendations on how to do this, or do I need to start calling round localisation agencies ;o) Further reading (all on Wikipedia) for the interested: Declension Grammatical case Declension in Polish Declension in Russian Declension in Czech nouns and pronouns Disclaimer: I know this happens in many other languages; highlighting Slavic languages is merely because I have a project that is going to be localised into some Slavic languages.

    Read the article

  • Advantages/disadvantages of Python and Ruby

    - by Seburdis
    I know this is going to seem a little like all the other python vs ruby question out there, but I'm not looking specifically to pick one over the other all the time. My question is, essentially, why would you use one language over the other when you are starting a new project? What features does ruby have that python doesn't that would make you decide on it for a given project? What about python over ruby? I was just recently thinking about the differentiation between the two languages because of Jamis Buck's "There is no magic, only awesome" series of articles (4 parts, available here) when I realized I really don't know enough about the two languages to know when to choose one over the other. I'm hoping to get objective answers from people who have experience with both languages, rather than just "python is better, ruby sucks" kind of responses. If you know of a feature in one language that doesn't exist in the other and is great in a certain situation, feel free to chime in and say why you think it's awesome. If you have another language comparable to these that you'd like to suggest pros/cons for, like groovy for example, that would be appreciated too. Some thing I know each language has going for it: Ruby: Awesome metaprogramming Great community Wide selection of Gems Rails Great code readability, usually MacRuby is great for native development on Mac without objc Amazing testing tools (cucumber, rspec, shoulda, autotest, etc.) Python: Whitespace indentation List comprehensions Better functional programming support? Lots of support on linux Easy_install isn't far from gems Great variety of libraries available

    Read the article

  • Java Generic Casting Type Mismatch

    - by Kay
    public class MaxHeap<T extends Comparable<T>> implements Heap<T>{ private T[] heap; private int lastIndex; public void main(String[] args){ int i; T[] arr = {1,3,4,5,2}; //ERROR HERE ******* foo } public T[] Heapsort(T[]anArray, int n){ // build initial heap T[]sortedArray = anArray; for (int i = n-1; i< 0; i--){ //assert: the tree rooted at index is a semiheap heapRebuild(anArray, i, n); //assert: the tree rooted at index is a heap } //sort the heap array int last = n-1; //invariant: Array[0..last] is a heap, //Array[last+1..n-1] is sorted for (int j=1; j<n-1;j++) { sortedArray[0]=sortedArray[last]; last--; heapRebuild(anArray, 0, last); } return sortedArray; } protected void heapRebuild(T[ ] items, int root, int size){ foo } } The error is on the line with "T[arr] = {1,3,4,5,2}" Eclispe complains that there is a: "Type mismatch: cannot convert from int to T" I've tried to casting nearly everywhere but to no avail.A simple way out would be to not use generics but instead just ints but that's sadly not an option. I've got to find a way to resolve the array of ints "{1,3,4,5,2}" into an array of T so that the rest of my code will work smoothly.

    Read the article

  • Fixing color in scatter plots in matplotlib

    - by ajhall
    Hi guys, I'm going to have to come back and add some examples if you need them, which you might. But, here's the skinny- I'm plotting scatter plots of lab data for my research. I need to be able to visually compare the scatter plots from one plot to the next, so I want to fix the color range on the scatter plots and add in a colorbar to each plot (which will be the same in each figure). Essentially, I'm fixing all aspects of the axes and colorspace etc. so that the plots are directly comparable by eye. For the life of me, I can't seem to get my scatter() command to properly set the color limits in the colorspace (default)... i.e., I figure out my total data's min and total data's max, then apply them to vmin, vmax, for the subset of data, and the color still does not come out properly in both plots. This must come up here and there, I can't be the only one that wants to compare various subsets of data amongst plots... so, how do you fix the colors so that each data keeps it's color between plots and doesn't get remapped to a different color due to the change in max/min of the subset -v- the whole set? I greatly appreciate all your thoughts!!! A mountain-dew and fiery-hot cheetos to all! -Allen

    Read the article

  • Implementing Java Priority Queue

    - by Kay
    public class PriorityQueue<T> { private PriorityNode<T> head, tail; private int numItems; public PriorityQueue(){ numItems = 0; head=null; tail=null; } public void add(int priority, T value){ PriorityNode<T> newNode = new PriorityNode<T>(priority,value); if(numItems == 0){ head = newNode; tail = newNode; } else{ head.setNext(newNode); head = newNode; } } } Where PriorityNode is defined as: public class PriorityNode<T> implements Comparable<T> { private T value; private PriorityNode<T> next; private int priority; public PriorityNode(int priority,T newValue){ value = newValue; next = null; priority = 0; } public PriorityNode(T newValue){ value = newValue; next = null; priority = 0; } public void setPriority(int priority){ this.priority = priority; } public int getPriority(){ return this.priority; } public T getValue(){ return value; } public PriorityNode<T> getNext(){ return next; } public void setNext(PriorityNode<T> nextNode){ this.next = nextNode; } public void setValue(T newValue){ value = newValue; } public int compareTo(int pri) { // TODO Auto-generated method stub if(this.priority<pri){ return -1; } else if(this.priority == pri){ return 0; } else{ return 1; } } } I'm having a lot of difficulty using the Comparator here and implementing a priority queue - please point me in the right direction.

    Read the article

< Previous Page | 7 8 9 10 11 12 13 14 15  | Next Page >