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  • So, what&rsquo;s your blog URL?

    - by johndoucette
    Asked by many of my colleagues often enough, I decided to take the plunge and begin blogging. After many attempts to start and long discussions about what I should write about, I decided to give my “buddies” a series of lessons and tidbits to help them understand what it takes to manage a software development project in the real world. Stories of success and failure to keep hope alive. I am formally trained as a developer (BS/CS) and have scattered my code throughout the matrix since 1985 (officially working for the man). As I moved from job-to-job over my career, I have had good managers, bad ones, and ones who were – well, just sitting in the corner office. It wasn't until I began the transition and commitment to the role of project management that I began to take real software development management seriously. A boss once told me “put down the code. Start managing the people and process.” That was a scary time in my career. I loved solving really cool problems with a blank sheet of paper. It was an adrenaline rush to get an opportunity to start from scratch and write an application solution people would actually use and help them in their work/business. I felt that moving into “management” would remove me from the thrill and ownership I felt as a developer. It was a hard step to take, and one which I believe is hard for any developer. Well, I am here to help you through this transition. For those of you wanting to read my stories or learn about the tools and techniques I use on a daily basis, you too might just learn something you would have never thought of as an architect/developer. I am currently a Sr. Consultant at Magenic with the Boston branch office and primarily work with clients in the New England area. I am typically engaged as the lead project manager on our engagements, but also perform Application Lifecycle Management (ALM) assessments for development organizations as well as augment the Technical Evangelists for Microsoft and perform many Team Foundation Server (TFS) demos, installs and “get started” engagements. I have spoken at the New England Code Camp, our most recent CodeMastery event in Boston, and have written several whitepapers.   I am looking forward to helping you “Put down the code.” John Doucette

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  • Google I/O 2012 - Introducing the Google Drive SDK

    Google I/O 2012 - Introducing the Google Drive SDK In this talk, we will introduce a number of major new features and platforms to the Google Drive SDK. We will discuss what we feel is a revolution in the way developers write collaborative applications. We will also announce a new API to make managing files in Google Drive even easier for developers, replacing some legacy APIs in the process. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 2447 16 ratings Time: 46:28 More in Science & Technology

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  • Google I/O 2012 - Big Data: Turning Your Data Problem Into a Competitive Advantage

    Google I/O 2012 - Big Data: Turning Your Data Problem Into a Competitive Advantage Ju-kay Kwek, Navneet Joneja Can businesses get practical value from web-scale data without building proprietary web-scale infrastructure? This session will explore how new Google data services can be used to solve key data storage, transformation and analysis challenges. We will look at concrete case studies demonstrating how real life businesses have successfully used these solutions to turn data into a competitive business asset. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1 0 ratings Time: 52:39 More in Science & Technology

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  • DICOM Image Viewer

    A simple viewer of images stored in the DICOM 3.0 File Format (C#). The file should have raw pixel data, uncompressed. Window Level functionality is also provided.

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  • I see no LOBs!

    - by Paul White
    Is it possible to see LOB (large object) logical reads from STATISTICS IO output on a table with no LOB columns? I was asked this question today by someone who had spent a good fraction of their afternoon trying to work out why this was occurring – even going so far as to re-run DBCC CHECKDB to see if any corruption had taken place.  The table in question wasn’t particularly pretty – it had grown somewhat organically over time, with new columns being added every so often as the need arose.  Nevertheless, it remained a simple structure with no LOB columns – no TEXT or IMAGE, no XML, no MAX types – nothing aside from ordinary INT, MONEY, VARCHAR, and DATETIME types.  To add to the air of mystery, not every query that ran against the table would report LOB logical reads – just sometimes – but when it did, the query often took much longer to execute. Ok, enough of the pre-amble.  I can’t reproduce the exact structure here, but the following script creates a table that will serve to demonstrate the effect: IF OBJECT_ID(N'dbo.Test', N'U') IS NOT NULL DROP TABLE dbo.Test GO CREATE TABLE dbo.Test ( row_id NUMERIC IDENTITY NOT NULL,   col01 NVARCHAR(450) NOT NULL, col02 NVARCHAR(450) NOT NULL, col03 NVARCHAR(450) NOT NULL, col04 NVARCHAR(450) NOT NULL, col05 NVARCHAR(450) NOT NULL, col06 NVARCHAR(450) NOT NULL, col07 NVARCHAR(450) NOT NULL, col08 NVARCHAR(450) NOT NULL, col09 NVARCHAR(450) NOT NULL, col10 NVARCHAR(450) NOT NULL, CONSTRAINT [PK dbo.Test row_id] PRIMARY KEY CLUSTERED (row_id) ) ; The next script loads the ten variable-length character columns with one-character strings in the first row, two-character strings in the second row, and so on down to the 450th row: WITH Numbers AS ( -- Generates numbers 1 - 450 inclusive SELECT TOP (450) n = ROW_NUMBER() OVER (ORDER BY (SELECT 0)) FROM master.sys.columns C1, master.sys.columns C2, master.sys.columns C3 ORDER BY n ASC ) INSERT dbo.Test WITH (TABLOCKX) SELECT REPLICATE(N'A', N.n), REPLICATE(N'B', N.n), REPLICATE(N'C', N.n), REPLICATE(N'D', N.n), REPLICATE(N'E', N.n), REPLICATE(N'F', N.n), REPLICATE(N'G', N.n), REPLICATE(N'H', N.n), REPLICATE(N'I', N.n), REPLICATE(N'J', N.n) FROM Numbers AS N ORDER BY N.n ASC ; Once those two scripts have run, the table contains 450 rows and 10 columns of data like this: Most of the time, when we query data from this table, we don’t see any LOB logical reads, for example: -- Find the maximum length of the data in -- column 5 for a range of rows SELECT result = MAX(DATALENGTH(T.col05)) FROM dbo.Test AS T WHERE row_id BETWEEN 50 AND 100 ; But with a different query… -- Read all the data in column 1 SELECT result = MAX(DATALENGTH(T.col01)) FROM dbo.Test AS T ; …suddenly we have 49 LOB logical reads, as well as the ‘normal’ logical reads we would expect. The Explanation If we had tried to create this table in SQL Server 2000, we would have received a warning message to say that future INSERT or UPDATE operations on the table might fail if the resulting row exceeded the in-row storage limit of 8060 bytes.  If we needed to store more data than would fit in an 8060 byte row (including internal overhead) we had to use a LOB column – TEXT, NTEXT, or IMAGE.  These special data types store the large data values in a separate structure, with just a small pointer left in the original row. Row Overflow SQL Server 2005 introduced a feature called row overflow, which allows one or more variable-length columns in a row to move to off-row storage if the data in a particular row would otherwise exceed 8060 bytes.  You no longer receive a warning when creating (or altering) a table that might need more than 8060 bytes of in-row storage; if SQL Server finds that it can no longer fit a variable-length column in a particular row, it will silently move one or more of these columns off the row into a separate allocation unit. Only variable-length columns can be moved in this way (for example the (N)VARCHAR, VARBINARY, and SQL_VARIANT types).  Fixed-length columns (like INTEGER and DATETIME for example) never move into ‘row overflow’ storage.  The decision to move a column off-row is done on a row-by-row basis – so data in a particular column might be stored in-row for some table records, and off-row for others. In general, if SQL Server finds that it needs to move a column into row-overflow storage, it moves the largest variable-length column record for that row.  Note that in the case of an UPDATE statement that results in the 8060 byte limit being exceeded, it might not be the column that grew that is moved! Sneaky LOBs Anyway, that’s all very interesting but I don’t want to get too carried away with the intricacies of row-overflow storage internals.  The point is that it is now possible to define a table with non-LOB columns that will silently exceed the old row-size limit and result in ordinary variable-length columns being moved to off-row storage.  Adding new columns to a table, expanding an existing column definition, or simply storing more data in a column than you used to – all these things can result in one or more variable-length columns being moved off the row. Note that row-overflow storage is logically quite different from old-style LOB and new-style MAX data type storage – individual variable-length columns are still limited to 8000 bytes each – you can just have more of them now.  Having said that, the physical mechanisms involved are very similar to full LOB storage – a column moved to row-overflow leaves a 24-byte pointer record in the row, and the ‘separate storage’ I have been talking about is structured very similarly to both old-style LOBs and new-style MAX types.  The disadvantages are also the same: when SQL Server needs a row-overflow column value it needs to follow the in-row pointer a navigate another chain of pages, just like retrieving a traditional LOB. And Finally… In the example script presented above, the rows with row_id values from 402 to 450 inclusive all exceed the total in-row storage limit of 8060 bytes.  A SELECT that references a column in one of those rows that has moved to off-row storage will incur one or more lob logical reads as the storage engine locates the data.  The results on your system might vary slightly depending on your settings, of course; but in my tests only column 1 in rows 402-450 moved off-row.  You might like to play around with the script – updating columns, changing data type lengths, and so on – to see the effect on lob logical reads and which columns get moved when.  You might even see row-overflow columns moving back in-row if they are updated to be smaller (hint: reduce the size of a column entry by at least 1000 bytes if you hope to see this). Be aware that SQL Server will not warn you when it moves ‘ordinary’ variable-length columns into overflow storage, and it can have dramatic effects on performance.  It makes more sense than ever to choose column data types sensibly.  If you make every column a VARCHAR(8000) or NVARCHAR(4000), and someone stores data that results in a row needing more than 8060 bytes, SQL Server might turn some of your column data into pseudo-LOBs – all without saying a word. Finally, some people make a distinction between ordinary LOBs (those that can hold up to 2GB of data) and the LOB-like structures created by row-overflow (where columns are still limited to 8000 bytes) by referring to row-overflow LOBs as SLOBs.  I find that quite appealing, but the ‘S’ stands for ‘small’, which makes expanding the whole acronym a little daft-sounding…small large objects anyone? © Paul White 2011 email: [email protected] twitter: @SQL_Kiwi

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  • Are SQL Injection vulnerabilities in a PHP application acceptable if mod_security is enabled?

    - by Austin Smith
    I've been asked to audit a PHP application. No framework, no router, no model. Pure PHP. Few shared functions. HTML, CSS, and JS all mixed together. I've discovered numerous places where SQL injection would be easily possible. There are other problems with the application (XSS vulnerabilities, rampant inline CSS, code copy-pasted everywhere) but this is the biggest. Sometimes they escape inputs, not using a prepared query or even mysql_real_escape_string(), mind you, but using addslashes(). Often, though, their queries look exactly like this (pasted from their code but with columns and variable names changed): $user = mysql_query("select * from profile where profile_id='".$_REQUEST["profile_id"]."'"); The developers in question claimed that they were unable to hack their application. I tried, and found mod_security to be enabled, resulting in HTTP 406 for some obvious SQL injection attacks. I believe there to be sophisticated workarounds for mod_security, but I don't have time to chase them down. They claim that this is a "conceptual" matter and not a "practical" one since the application can't easily be hacked. Their internal auditor agreed that there were problems, but emphasized the conceptual nature of the issues. They also use this conceptual/practical argument to defend against inline CSS and JS, absence of code organization, XSS vulnerabilities, and massive amounts of repetition. My client (rightly so, perhaps) just wants this to go away so they can launch their product. The site works. You can log in, do what you need to do, and things are visibly functional, if slow. SQL Injection would indeed be hard to do, given mod_security. Further, their talk of "conceptual vs. practical" is rhetorically brilliant, considering that my client doesn't understand web application security. I worry that they've succeeded in making me sound like an angry puritan. In many ways, this is a problem of politics, not technology, but I am at a loss. As a developer, I want to tell them to toss the whole project and start over with a new team, but I face a strong defense from the team that built it and a client who really needs to ship their product. Is my position here too harsh? Even if they fix the SQL Injection and XSS problems can I ever endorse the release of an unmaintainable tangle of spaghetti code?

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  • Reuse Business Logic between Web and API

    - by fesja
    We have a website and two mobile apps that connect through an API. All the platforms do the exactly same things. Right now the structure is the following: Website. It manages models, controllers, views for the website. It also executes all background tasks. So if a user create a place, everything is executed in this code. API. It manages models, controllers and return a JSON. If a user creates a place on the mobile app, the place is created here. After, we add a background task to update other fields. This background task is executed by the Website. We are redoing everything, so it's time to improve the approach. Which is the best way to reuse the business logic so I only need to code the insert/edit/delete of the place & other actions related in just one place? Is a service oriented approach a good idea? For example: Service. It has the models and gets, adds, updates and deletes info from the DB. Website. It send the info to the service, and it renders HTML. API. It sends info to the service, and it returns JSON. Some problems I have found: More initial work? Not sure.. It can work slower. Any experience? The benefits: We only have the business logic in one place, both for web and api. It's easier to scale. We can put each piece on different servers. Other solutions Duplicate the code and be careful not to forget anything (do tests!) DUplicate some code but execute background tasks that updates the related fields and executes other things (emails, indexing...) A "small" detail is we are 1.3 person in backend, for now ;)

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  • La gran final del Developer Bus en Colombia, la innovación desde las tecnologías Google (spanish)

    La gran final del Developer Bus en Colombia, la innovación desde las tecnologías Google (spanish) Toda la innovación del Developer Bus en Colombia con la presentación de los proyectos, la devolución del jurado y el gran ganador de la edición de Bogotá.#DevBusLatAm #DevBusBogota +Desarrolla... From: GoogleDevelopers Views: 0 0 ratings Time: 00:00 More in Science & Technology

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  • Data Structures usage and motivational aspects

    - by Aubergine
    For long student life I was always wondering why there are so many of them yet there seems to be lack of usage at all in many of them. The opinion didn't really change when I got a job. We have brilliant books on what they are and their complexities, but I never encounter resources which would actually give a good hint of practical usage. I perfectly understand that I have to look at problem , analyse required operations, look for data structure that does them efficiently. However in practice I never do that, not because of human laziness syndrome, but because when it comes to work I acknowledge time priority over self-development. Over time I thought that when I would be better developer I will automatically use more of them - that didn't happen at all or maybe I just didn't. Then I found that the colleagues usually in the same plate as me - knowing more or less some three of data structures and being totally happy about it and refusing to discuss this matter further with me, coming back to conversations about 'cool new languages' 'libraries that do jobs for you' and the joy to work under scrumban etc. I am stuck with ArrayLists, Arrays and SortedMap , which no matter what I do always suffice or either I tweak them to be capable of fulfilling my task. Yes, it might be inefficient but do we really have to care if Intel increases performance over years no matter if we improve our skills? Does new Xeon or IBM machines really care what we use? What if I like build things, but I am not particularly excited whether it is n log(n) or just n? Over twenty years the processing power increased enormously, which gives us freedom of not being critical about which one to use? On top of that new more optimized languages appear which support multiple cores more efficiently. To be more specific: I would like to find motivational material on complex real areas/cases of possible effective usages of data structures. I would be really grateful if you would provide relevant resources. There is similar question ,but in the end the links again mostly describe or do dumb example(vehicles, students or holy grail quest - yes, very relevant) them and people keep referring to the "scenario decides the data structure to use". I want to know these complex scenarios to be able to identify similarities to my scenario and then use them. The complex scenarios where it really matters and not necessarily of quantitive nature. It seems that data structures only concern is efficiency and nothing else? There seems to be no particular convenience for developer in use one over another. (only when I found scientific resources on why exactly simple carbohydrates are evil I stopped eating sugar and candies completely replacing it with less harmful fruits - I hope you can see the analogy)

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  • Multiple vulnerabilities in Wireshark

    - by chandan
    CVE DescriptionCVSSv2 Base ScoreComponentProduct and Resolution CVE-2012-1593 Denial of Service (DoS) vulnerability 3.3 Wireshark Solaris 11 11/11 SRU 8.5 CVE-2012-1594 Improper Control of Generation of Code ('Code Injection') vulnerability 3.3 CVE-2012-1595 Resource Management Errors vulnerability 4.3 CVE-2012-1596 Resource Management Errors vulnerability 5.0 This notification describes vulnerabilities fixed in third-party components that are included in Sun's product distribution.Information about vulnerabilities affecting Oracle Sun products can be found on Oracle Critical Patch Updates and Security Alerts page.

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  • Sortie de Avgrund Modal : le plugin jQuery d'un nouvel effet pour popups et boîtes modales

    Sortie de Avgrund Modal le plugin jQuery pour vos boîtes modales et popups. Ce plugin, créé par Dmitri Voronianski, ajoute une impression de profondeur à la page lorsque vous affichez une boîte modale. Le contenu principal fait un zoom arrière (il rétrécit) et se grise. Il fonctionne dans tous les navigateurs récents. [IMG]http://dailyjs.com/images/posts/avgrund.png[/IMG] Simple d'utilisation, vous n'avez qu'à appeler ce code : Code javascript :

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  • How do I make the launcher progress bar work with my application?

    - by Kevin Gurney
    Background Research I am attempting to update the progress bar within the Unity launcher for a simple python/Gtk application created using Quickly called test; however, following the instructions in this video, I have not been able to successfully update the progress bar in the Unity launcher. In the Unity Integration video, Quickly was not used, so the way that the application was structured was slightly different, and the code used in the video does not seem to function properly without modification in a default Quickly ubuntu-application template application. Screenshots Here is a screenshot of the application icon as it is currently displayed in the Unity Launcher. Here is a screenshot of the kind of Unity launcher progress bar functionality that I would like (overlayed on mail icon: wiki.ubuntu.com). Code class TestWindow(Window): __gtype_name__ = "TestWindow" def finish_initializing(self, builder): # pylint: disable=E1002 """Set up the main window""" super(TestWindow, self).finish_initializing(builder) self.AboutDialog = AboutTestDialog self.PreferencesDialog = PreferencesTestDialog # Code for other initialization actions should be added here. self.add_launcher_integration() def add_launcher_integration(self): self.launcher = Unity.LauncherEntry.get_for_desktop_id("test.destkop") self.launcher.set_property("progress", 0.75) self.launcher.set_property("progress_visible", True) Expected Behavior I would expect the above code to show a progress bar that is 75% full overlayed on the icon for the test application in the Unity Launcher, but the application only runs and displays no progress bar when the command quickly run is executed. Problem Investigation I believe that the problem is that I am not properly getting a reference to the application's main window, however, I am not sure how to properly fix this problem. I also believe that the line: self.launcher = Unity.LauncherEntry.get_for_desktop_id("test.destkop") may be another source of complication because Quickly creates .desktop.in files rather than ordinary .desktop files, so I am not sure if that might be causing issues as well. Perhaps, another source of the issue is that I do not entirely understand the difference between .desktop and .desktop.in files. Does it possibly make sense to make a copy of the test.desktop.in file and rename it test.desktop, and place it in /usr/share/applications in order for get_for_desktop_id("test,desktop") to reference the correct .desktop file? Related Research Links Although, I am still not clear on the difference between .desktop and .desktop.in files, I have done some research on .desktop files and I have come across a couple of links: Desktop Entry Files (library.gnome.org) Desktop File Installation Directory (askubuntu.com) Unity Launcher API (wiki.ubuntu.com) Desktop Files: putting your application in the desktop menus (developer.gnome.org) Desktop Menu Specification (standards.freedesktop.org)

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  • OOP - Composition, Components and Composites Example?

    - by coder3
    I've been reading a bit about OOP in relation to Composition, Components and Composites. I believe I understand the fundamental principle (not sure). Can some one please provide a code example of a person or car (both have many properties) using Composition, Components and Composites. I think seeing it in code would clear up the confusion I have regarding this pattern. Preferably in Java or PHP - many thanks!

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