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  • Why does Process Explorer cause highly targeted failure of some applications / basic UI functions in a high-power EC2 Windows instance?

    - by Dan Nissenbaum
    Update: I have determined that Process Explorer itself - the program I am using to debug a performance issue - seems to be the cause of the issue. See note, with updated question, at end. I am running a high-power (cc2.8xlarge) Amazon AWS EC2 Windows instance off of a boot EBS volume, provisioned at 2500 PIOPS, which was created from a snapshot of a previous boot volume. My purpose with the instance is to use it as a development workstation with many developer tools installed, such as Visual Studio, a local XAMPP stack, etc. I have upwards of 40 programs installed on the machine. The usability of the instance as a development machine often works quite well. The RDP lag is adequately small. I have used it for hours on end without problems for some of my most intense development tasks. As a result, I have just purchased a reserved instance, and I opted to rebuild my development machine starting from scratch with a Windows Server 2012 AMI. After having installed all of my desired/required applications for development over this past week, again the machine seems to often work well and I have worked for up to an hour at a time without problems doing heavy development work. However, I continue to run into catastrophic OS usability issues that may prevent me from being able to rely on this machine as a development machine. I would like to track down the source of the problem, if there is an easily identifiable source. (Update: I have tracked down the source to be Process Explorer, the very program I was using to debug the problem. See update at end.) The issues are as follows. (These are some primary examples) Some applications, after a period of adequate responsiveness, suddenly begin to respond very, very slowly to basic user interface actions such as clicking on menus and pressing Ctrl-Tab to switch between open documents. Two examples are UltraEdit and PhpEd. It typically takes ~2 seconds for a menu to appear, and ~4 seconds to switch between open documents. Additionally, insertion point motion in the editor is lagged by upwards of ~2 seconds. Process Explorer, which I am using to help debug the problem, seems to run acceptably for a couple of minutes, but on multiple occasions Process Explorer itself hangs completely. It hangs at the same time as the problems noted above. When it hangs, it is 100% unresponsive. Clicking on its taskbar icon neither causes it to come to the top or go behind, and its viewable area is filled with nothing but a region partially containing pure white and partially containing incomplete windows widgets that are unreadable, and that never change. Waiting 10 minutes does not clear the problem. Attempting to force-quit Process Explorer by right-clicking on its taskbar icon and choosing "Close Window" takes about 5 full minutes to exit (Process Explorer itself can't be used to exit Process Explorer, and it is registered as a Task Manager substitute). Other programs work just fine during this time. For example, Chrome tabs flip very quickly back and forth, menus pop open instantly, web pages load quickly, and typing in forms/web applications inside the browser works promptly. Another example of an application that works crisply is Filemaker - its menus open instantly, and switching views in this application occurs promptly. Other applications also work without issue. Also, switching between applications occurs promptly as well. It is only a handful of applications that exhibit the problem, with some primary examples given above. At first I thought that EBS IOPS might be a problem. Therefore, I ran Performance Monitor, and watched the "Disk Transfers/sec" monitor in real time. At no point did this measure come anywhere close to hitting the 2500 PIOPS provisioned for the EBS volume. The RAM was also well under the limit (~10 GB used out of 60 GB). I did notice that one CPU core (out of 32 logical cores) was fully thrashing at 100% (i.e., ~3.1%) during the problematic periods. This seems to indicate that a single CPU core is handling the menus / flipping between open documents (for some applications only) / managing the Process Explorer user interface, and that this single core was hosed for some reason during the problematic periods. Also note that I have a desktop workstation (Windows 7) that I also use as a development machine, via a remote connection, with a nearly identical set of programs installed, and this desktop workstation does not exhibit any of the problems I've discussed above. I have been using it heavily for well over a year now. Any suggestions regarding either the source of the problem, or steps I might take to investigate the source of the problem, would be appreciated. Thanks. Note: After extensive testing & investigation, I have noticed that when I quit Process Explorer, the problem vanishes and the system performance returns to normal, and then reappears quickly when I run Process Explorer again (note: again, the performance problems only appear for a subset of applications - other applications work perfectly fine during the same period). My question is therefore (thankfully) more specific: Why does Process Explorer cause highly targeted failure of some applications (including itself) and basic UI functions, in a high-power EC2 Windows instance?

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  • SQL Azure Pricing

    - by kaleidoscope
    Microsoft’s pricing for SQL Server in the cloud, SQLAzure has been announced: $9.99   per month for 0 – 1GB $99.99 per month up to 10GB. There’s currently a 10GB maximum size cap for SQLAzure. For larger data storage needs, you’ll need to break the databases into smaller sizes. Scaling SQL Azure Applications If you think you’re going to need 100GB in the near term, it probably makes sense to break your application up into multiple separate databases from the get-go (10 x $9.99 = $99.99 anyway) and just make really sure none of the individual databases exceed 10GB. Beep Beep, Back That Database Up The bandwidth costs for SQL Azure are $.15 per GB of outbound bandwidth.  Assuming that you don’t compress the data before you pull it out of the cloud, that means daily backups of a 1GB database will add another $4.50 per month, and a 10GB database will add another $45/month.  Daily backups will cost about half of what your monthly service charges cost. It’s not completely clear from the press release, but if Microsoft follows Amazon’s pricing model, bandwidth between the Microsoft cloud services will not incur a cost.  That would mean it might make sense to spin up an Windows Azure computing application for $.12 per hour, use that application to compress your SQL Azure database, and then send the compressed data off to Azure storage for backup.  That would eliminate the data in/out costs, and minimize the Azure storage costs ($.15/GB).  Database administrators would back up their SQL Azure data to Azure Storage, keep a history of backups there, and restore them to SQL Azure faster when needed. Of course, there’s no native backup support in SQL Azure, and it’s not clear whether Windows Azure will include tools like SQL Server Integration Services. More details can be found at http://www.brentozar.com/archive/2009/07/sql-azure-pricing-10-for-1gb-100-for-10gb/   Anish, S

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  • Is this information about me as a programmer concise and good enough?

    - by Nick Rosencrantz
    I not only want you to review my resume but please tell me what you think Google means when they answered me: "We don't look at personal letters and we like your resume and we can recommend you internally but we need measurable experience. What is meant with "measurable" here? Do they mean like O(1) compared to O(n), selling an entire company, grades or what? This is what I sent: Curriculum vitae Nick Rosencrantz Competence: System development, web development Technical competence: Java, Javascript, HTML, XML, CSS, AJAX, PHP, SQL, Python Employments: 2012- Mobile Innovation AB System Developer IT consultant (Java programmer) 2011-2012 Bnano International Ltd System Developer Python programming in Google App Engine 2008-2009 Sweden Island AB System Developer Programming C++ and Java EE components 2003-2007 Studies Stockholm School of Economics During studies worked as network technician at Effnet AB 2000-2002 Jadestone AB System Developer System development in Java/J2EE. In 2001: KTH, Assistant. Teaching application server programming in Java Enterprise + weblogic + Informix. 1999-2000 Studies KTH 1996-1998 Spray.se System development, Researcher 1995-1995 Finance broker Backoffice work with financial instruments 1993-1994 Computer & Audio-Technical Systems AB Programming, sommer job Education/Courses: Stockholm School of Economics, Master of Science diploma, KTH, Computer Science undergraduate studies Languages Swedish, English, also some German and French Born 1973, Swedish citizen I also have a project-based CS which is several pages long but the above is about what I was aiming for in the beginning when I was looking for a job, now I have employment as an IT consultant in central Stockholm and I want to make my resume concise and also know what Google meant with their answer (It was a Swedish Google employee that via linkedin recruited from my Stockholm School of Economics groups since that is a small elite economics school where I took my M.Sc. and KTH is one of the largest universities in northern Europe so I sent her a link with my CV and she said she could promote me internally if I added "measurable experience" and I've been thinking for weeks what that may mean?

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  • Collaboration using github and testing the code

    - by wyred
    The procedure in my team is that we all commit our code to the same development branch. We have a test server that runs updated code from this branch so that we can test our code on the servers. The problem is that if we want to merge the development branch to the master branch in order to publish new features to our production servers, some features that may not have been ready will be applied to the production servers. So we're considering having each developer work on a feature/topic branch where each of them work on their own features and when it's ready, merge it into the development branch for testing, and then into the master branch. However, because our test server only pulls changes from the development branch, the developers are unable to test their features. While this is not a huge issue as they can test it on their local machine, the only problem I foresee is if we want to test callbacks from third-party services like sendgrid (where you specify a url for sendgrid to update you on the status of emails sent out). How to handle this problem? Note: We're not advanced git users. We use the Github app for MacOSX and Windows to commit our work.

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  • Why the huge difference between etch and lenny MySQL

    - by rmarimon
    I've been working on a program for the last year. The development environment is working with a database in MySQL running on debian etch version mysql Ver 14.12 Distrib 5.0.32, for pc-linux-gnu (i486) using readline 5.2. The production environment is working on debian lenny with version mysql Ver 14.12 Distrib 5.0.51a, for debian-linux-gnu (i486) using readline 5.2. I was just timing some database access and what takes in the development environment 150 seconds, takes 300 in the production environment. I checked the /etc/mysql/my.cnf files on both systems and the only differences are # development bind-address = 10.168.1.82 log_bin = /var/log/mysql/mysql-bin.log # production bind-address = 127.0.0.1 myisam-recover = BACKUP #log_bin = /var/log/mysql/mysql-bin.log I dump a database from the production and load it into the development and with the same server everything takes half the time !!! What should I check?

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  • R Package Installation with Oracle R Enterprise

    - by Sherry LaMonica-Oracle
    Normal 0 false false false EN-US X-NONE X-NONE Programming languages give developers the opportunity to write reusable functions and to bundle those functions into logical deployable entities. In R, these are called packages. R has thousands of such packages provided by an almost equally large group of third-party contributors. To allow others to benefit from these packages, users can share packages on the CRAN system for use by the vast R development community worldwide. R's package system along with the CRAN framework provides a process for authoring, documenting and distributing packages to millions of users. In this post, we'll illustrate the various ways in which such R packages can be installed for use with R and together with Oracle R Enterprise. In the following, the same instructions apply when using either open source R or Oracle R Distribution. In this post, we cover the following package installation scenarios for: R command line Linux shell command line Use with Oracle R Enterprise Installation on Exadata or RAC Installing all packages in a CRAN Task View Troubleshooting common errors 1. R Package Installation BasicsR package installation basics are outlined in Chapter 6 of the R Installation and Administration Guide. There are two ways to install packages from the command line: from the R command line and from the shell command line. For this first example on Oracle Linux using Oracle R Distribution, we’ll install the arules package as root so that packages will be installed in the default R system-wide location where all users can access it, /usr/lib64/R/library.Within R, using the install.packages function always attempts to install the latest version of the requested package available on CRAN:R> install.packages("arules")If the arules package depends upon other packages that are not already installed locally, the R installer automatically downloads and installs those required packages. This is a huge benefit that frees users from the task of identifying and resolving those dependencies.You can also install R from the shell command line. This is useful for some packages when an internet connection is not available or for installing packages not uploaded to CRAN. To install packages this way, first locate the package on CRAN and then download the package source to your local machine. For example:$ wget http://cran.r-project.org/src/contrib/arules_1.1-2.tar.gz Then, install the package using the command R CMD INSTALL:$ R CMD INSTALL arules_1.1-2.tar.gzA major difference between installing R packages using the R package installer at the R command line and shell command line is that package dependencies must be resolved manually at the shell command line. Package dependencies are listed in the Depends section of the package’s CRAN site. If dependencies are not identified and installed prior to the package’s installation, you will see an error similar to:ERROR: dependency ‘xxx’ is not available for package ‘yyy’As a best practice and to save time, always refer to the package’s CRAN site to understand the package dependencies prior to attempting an installation. If you don’t run R as root, you won’t have permission to write packages into the default system-wide location and you will be prompted to create a personal library accessible by your userid. You can accept the personal library path chosen by R, or specify the library location by passing parameters to the install.packages function. For example, to create an R package repository in your home directory: R> install.packages("arules", lib="/home/username/Rpackages")or$ R CMD INSTALL arules_1.1-2.tar.gz --library=/home/username/RpackagesRefer to the install.packages help file in R or execute R CMD INSTALL --help at the shell command line for a full list of command line options.To set the library location and avoid having to specify this at every package install, simply create the R startup environment file .Renviron in your home area if it does not already exist, and add the following piece of code to it:R_LIBS_USER = "/home/username/Rpackages" 2. Setting the RepositoryEach time you install an R package from the R command line, you are asked which CRAN mirror, or server, R should use. To set the repository and avoid having to specify this during every package installation, create the R startup command file .Rprofile in your home directory and add the following R code to it:cat("Setting Seattle repository")r = getOption("repos") r["CRAN"] = "http://cran.fhcrc.org/"options(repos = r)rm(r) This code snippet sets the R package repository to the Seattle CRAN mirror at the start of each R session. 3. Installing R Packages for use with Oracle R EnterpriseEmbedded R execution with Oracle R Enterprise allows the use of CRAN or other third-party R packages in user-defined R functions executed on the Oracle Database server. The steps for installing and configuring packages for use with Oracle R Enterprise are the same as for open source R. The database-side R engine just needs to know where to find the R packages.The Oracle R Enterprise installation is performed by user oracle, which typically does not have write permission to the default site-wide library, /usr/lib64/R/library. On Linux and UNIX platforms, the Oracle R Enterprise Server installation provides the ORE script, which is executed from the operating system shell to install R packages and to start R. The ORE script is a wrapper for the default R script, a shell wrapper for the R executable. It can be used to start R, run batch scripts, and build or install R packages. Unlike the default R script, the ORE script installs packages to a location writable by user oracle and accessible by all ORE users - $ORACLE_HOME/R/library.To install a package on the database server so that it can be used by any R user and for use in embedded R execution, an Oracle DBA would typically download the package source from CRAN using wget. If the package depends on any packages that are not in the R distribution in use, download the sources for those packages, also.  For a single Oracle Database instance, replace the R script with ORE to install the packages in the same location as the Oracle R Enterprise packages. $ wget http://cran.r-project.org/src/contrib/arules_1.1-2.tar.gz$ ORE CMD INSTALL arules_1.1-2.tar.gzBehind the scenes, the ORE script performs the equivalent of setting R_LIBS_USER to the value of $ORACLE_HOME/R/library, and all R packages installed with the ORE script are installed to this location. For installing a package on multiple database servers, such as those in an Oracle Real Application Clusters (Oracle RAC) or a multinode Oracle Exadata Database Machine environment, use the ORE script in conjunction with the Exadata Distributed Command Line Interface (DCLI) utility.$ dcli -g nodes -l oracle ORE CMD INSTALL arules_1.1-1.tar.gz The DCLI -g flag designates a file containing a list of nodes to install on, and the -l flag specifies the user id to use when executing the commands. For more information on using DCLI with Oracle R Enterprise, see Chapter 5 in the Oracle R Enterprise Installation Guide.If you are using an Oracle R Enterprise client, install the package the same as any R package, bearing in mind that you must install the same version of the package on both the client and server machines to avoid incompatibilities. 4. CRAN Task ViewsCRAN also maintains a set of Task Views that identify packages associated with a particular task or methodology. Task Views are helpful in guiding users through the huge set of available R packages. They are actively maintained by volunteers who include detailed annotations for routines and packages. If you find one of the task views is a perfect match, you can install every package in that view using the ctv package - an R package for automating package installation. To use the ctv package to install a task view, first, install and load the ctv package.R> install.packages("ctv")R> library(ctv)Then query the names of the available task views and install the view you choose.R> available.views() R> install.views("TimeSeries") 5. Using and Managing R packages To use a package, start up R and load packages one at a time with the library command.Load the arules package in your R session. R> library(arules)Verify the version of arules installed.R> packageVersion("arules")[1] '1.1.2'Verify the version of arules installed on the database server using embedded R execution.R> ore.doEval(function() packageVersion("arules"))View the help file for the apropos function in the arules packageR> ?aproposOver time, your package repository will contain more and more packages, especially if you are using the system-wide repository where others are adding additional packages. It’s good to know the entire set of R packages accessible in your environment. To list all available packages in your local R session, use the installed.packages command:R> myLocalPackages <- row.names(installed.packages())R> myLocalPackagesTo access the list of available packages on the ORE database server from the ORE client, use the following embedded R syntax: R> myServerPackages <- ore.doEval(function() row.names(installed.packages()) R> myServerPackages 6. Troubleshooting Common ProblemsInstalling Older Versions of R packagesIf you immediately upgrade to the latest version of R, you will have no problem installing the most recent versions of R packages. However, if your version of R is older, some of the more recent package releases will not work and install.packages will generate a message such as: Warning message: In install.packages("arules") : package ‘arules’ is not availableThis is when you have to go to the Old sources link on the CRAN page for the arules package and determine which version is compatible with your version of R.Begin by determining what version of R you are using:$ R --versionOracle Distribution of R version 3.0.1 (--) -- "Good Sport" Copyright (C) The R Foundation for Statistical Computing Platform: x86_64-unknown-linux-gnu (64-bit)Given that R-3.0.1 was released May 16, 2013, any version of the arules package released after this date may work. Scanning the arules archive, we might try installing version 0.1.1-1, released in January of 2014:$ wget http://cran.r-project.org/src/contrib/Archive/arules/arules_1.1-1.tar.gz$ R CMD INSTALL arules_1.1-1.tar.gzFor use with ORE:$ ORE CMD INSTALL arules_1.1-1.tar.gzThe "package not available" error can also be thrown if the package you’re trying to install lives elsewhere, either another R package site, or it’s been removed from CRAN. A quick Google search usually leads to more information on the package’s location and status.Oracle R Enterprise is not in the R library pathOn Linux hosts, after installing the ORE server components, starting R, and attempting to load the ORE packages, you may receive the error:R> library(ORE)Error in library(ORE) : there is no package called ‘ORE’If you know the ORE packages have been installed and you receive this error, this is the result of not starting R with the ORE script. To resolve this problem, exit R and restart using the ORE script. After restarting R and ">running the command to load the ORE packages, you should not receive any errors.$ ORER> library(ORE)On Windows servers, the solution is to make the location of the ORE packages visible to R by adding them to the R library paths. To accomplish this, exit R, then add the following lines to the .Rprofile file. On Windows, the .Rprofile file is located in R\etc directory C:\Program Files\R\R-<version>\etc. Add the following lines:.libPaths("<path to $ORACLE_HOME>/R/library")The above line will tell R to include the R directory in the Oracle home as part of its search path. When you start R, the path above will be included, and future R package installations will also be saved to $ORACLE_HOME/R/library. This path should be writable by the user oracle, or the userid for the DBA tasked with installing R packages.Binary package compiled with different version of RBy default, R will install pre-compiled versions of packages if they are found. If the version of R under which the package was compiled does not match your installed version of R you will get an error message:Warning message: package ‘xxx’ was built under R version 3.0.0The solution is to download the package source and build it for your version of R.$ wget http://cran.r-project.org/src/contrib/Archive/arules/arules_1.1-1.tar.gz$ R CMD INSTALL arules_1.1-1.tar.gzFor use with ORE:$ ORE CMD INSTALL arules_1.1-1.tar.gzUnable to execute files in /tmp directoryBy default, R uses the /tmp directory to install packages. On security conscious machines, the /tmp directory is often marked as "noexec" in the /etc/fstab file. This means that no file under /tmp can ever be executed, and users who attempt to install R package will receive an error:ERROR: 'configure' exists but is not executable -- see the 'R Installation and Administration Manual’The solution is to set the TMP and TMPDIR environment variables to a location which R will use as the compilation directory. For example:$ mkdir <some path>/tmp$ export TMPDIR= <some path>/tmp$ export TMP= <some path>/tmpThis error typically appears on Linux client machines and not database servers, as Oracle Database writes to the value of the TMP environment variable for several tasks, including holding temporary files during database installation. 7. Creating your own R packageCreating your own package and submitting to CRAN is for advanced users, but it is not difficult. The procedure to follow, along with details of R's package system, is detailed in the Writing R Extensions manual.

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  • SQL – Step by Step Guide to Download and Install NuoDB – Getting Started with NuoDB

    - by Pinal Dave
    Let us take a look at the application you own at your business. If you pay attention to the underlying database for that application you will be amazed. Every successful business these days processes way more data than they used to process before. The number of transactions and the amount of data is growing at an exponential rate. Every single day there is way more data to process than before. Big data is no longer a concept; it is now turning into reality. If you look around there are so many different big data solutions and it can be a quite difficult task to figure out where to begin. Personally, I have been experimenting with a lot of different solutions which allow my database to scale immediately without much hassle while maintaining optimal database performance.  There are for sure some solutions out there, but for many I even have to learn their specific language and there is a lot of new exploration to do. Honestly, what I prefer is a product, which works with the language I know (SQL) and follows all the RDBMS concepts which I am familiar with (ACID etc.). NuoDB is one such solution.  It is an operational NewSQL database built on a patented emergent architecture with full support for SQL and ACID guarantees. In this blog post, I will explore how one can download and install NuoDB database. Step 1: Follow me and go to the NuoDB download page. Simply fill out the form, accept the online license agreement, and you will be taken directly to a page where you can select any platform you prefer to install NuoDB. In my example below, I select the Windows 64-bit platform as it is one of the most popular NuoDB platforms. (You can also run NuoDB on Amazon Web Services but I prefer to install it on my local machine for the purposes of this blog). Step 2: Once you have downloaded the NuoDB installer, double click on it to install it on the Windows platform. Here is the enlarged the icon of the installer. Step 3: Follow the wizard installation, as it is pretty straight forward and easy to do so. I have selected all the options to install as the overall installation is very simple and it does not take up much space. I have installed it on my C drive but you can select your preferred drive. It is quite possible that if you do not have 64 bit Java, it will throw following error. If you face following error, I suggest you to download 64-bit Java from here. Make sure that you download 64-bit Java from following link: http://java.com/en/download/manual.jsp If already have Java 64-bit installed, you can continue with the installation as described in following image. Otherwise, install Java and start from with Step 1. As in my case, I already have 64-bit Java installed – and you won’t believe me when I say that the entire installation of NuoDB only took me around 90 seconds. Click on Finish to end to exit the installation. Step 4: Once the installation is successful, NuoDB will automatically open the following two tabs – Console and DevCenter — in your preferred browser. On the Console tab you can explore various components of the NuoDB solution, e.g. QuickStart, Admin, Explorer, Storefront and Samples. We will see various components and their usage in future blog posts. If you follow these steps in this post, which I have followed to install NuoDB, you will agree that the installation of NuoDB is extremely smooth and it was indeed a pleasure to install a database product with such ease. If you have installed other database products in the past, you will absolutely agree with me. So download NuoDB and install it today, and in tomorrow’s blog post I will take the installation to the next level. 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, Technology Tagged: NuoDB

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  • Upgrade 11g szeminárium

    - by Lajos Sárecz
    Június 9-én az Oracle Database 11g Upgrade-rol szóló szemináriumot tartunk Mike Dietrich közremuködésével Budapesten! Ha valaki nem ismerné még Mike-ot és Oracle Database upgrade-et tervez, akkor épp itt az ideje hogy megismerje. Erre pedig kiváló alkalom a rendezvény június 9-én, Mike ugyanis az Oracle legfobb upgrade szakértoje. Számos upgrade szemináriumot tart, és nem utolsó sorban van egy kiváló blogja errol a témáról: http://blogs.oracle.com/UPGRADE/ Az esemény fókuszában az upgrade tippek&trükkök bemutatása, valamint az upgrade közben felmerülo buktatók elkerülésének ismertetése lesz. A szeminárium során áttekintést adunk az Oracle Database 11gR2 upgrade folyamatáról és a szükséges elokészíto lépésekrol. A nap során tárgyalni fogjuk a minimális állásidovel végrehajtható upgrade stratégiákat, és kiemelten foglalkozunk majd a teljesítmény hangolás módjával, felhasználva az SQL Plan Management-et és a Real Application Testing két funkcióját: az SQL Performance Analyzer-t, illetve a Database Replay-t. Befejezésként néhány ügyfél tapasztalatait fogjuk megosztani Önökkel. Helyszín a Ramada Plaza Budapest lesz, ahol minden kedves ügyfelünket és partnerünket sok szeretettel várunk. Regisztrálni a rendezvény weboldalán lehetséges.

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  • Logical progressions through the job market

    - by Philluminati
    I'm 5 years out of a unrecognised university where I did Software Engineering. First job was VB.NET, one job was Python, Linux and Web development. I feel cast as a web developer. I'd love a role doing C but no one is interested in juniors if the applicant hasn't got 3 years of C development experience already. I've done some C and a drop of open source coding but I'll never have the confidence to convince someone I know absolutely what I'm doing. Do I just spend more and more time letting life pass me by as I sit in my room on a friday night writing a C problem "for the sake of learning more C" Basically I'm just not sure I want to continue my career if it's going to involve nothing but high level, machine abstracted, business logic and as interested as I am in low level development and enjoy reading books by Taunembaum I struggle to see how I can make the jump and I just feel life would be easier if I got a job in a cafe in Amsterdam rolling spliffs for customers. My ideal job, being a paid member of the Fedora development team seems so far away, without anyone to pay me to learn the skills to get there, and the only way would be to literally spend weeks and weeks of my life contributing code without recognition for free and without any guarentees at the end. Not that I've contributed anything at all so far. Are there any career paths that are logically set out so that jumping between roles is "correctly" incremental and where hard work and learning does eventually lead to the kind of places I might want to go? [ and also getting paid at the same time? ]

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  • T-SQL in SQL Azure

    - by kaleidoscope
    The following table summarizes the Transact-SQL support provided by SQL Azure Database at PDC 2009: Transact-SQL Features Supported Transact-SQL Features Unsupported Constants Constraints Cursors Index management and rebuilding indexes Local temporary tables Reserved keywords Stored procedures Statistics management Transactions Triggers Tables, joins, and table variables Transact-SQL language elements such as Create/drop databases Create/alter/drop tables Create/alter/drop users and logins User-defined functions Views, including sys.synonyms view Common Language Runtime (CLR) Database file placement Database mirroring Distributed queries Distributed transactions Filegroup management Global temporary tables Spatial data and indexes SQL Server configuration options SQL Server Service Broker System tables Trace Flags   Amit, S

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

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

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  • Oracle's Thirteen Engineered Systems

    - by Luis Moreno Campos
    You already need a catalogue to keep up with the many new stuff coming out from Oracle Engineered from factory.In the Exadata portfolio you have 4 systems:- Quarter Rack X2-2 Database Machine- Half-Rack X2-2 Database Machine- Full-Rack X2-2 Database Machine- X2-8 Database MachineBut if Exadata presents a stunning portfolio, Exalogic doesn't fall behind on that by putting out 6 versions: 3 sizes (Quarter, Half and Full) with x86 processors and the same 3 sizes with SPARC based processors.Finally we have 3 new systems called SPARC Superclusters where Solaris 11 was re-engineered to take more out of the power of Infiniband: "Available in the next calendar year, the Oracle SPARC Supercluster will be available in T3-2, T3-4 and M5000-based configurations".I see Oracle delivering on it's promise to tightly integrate Hardware and Software to work closer together.

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  • ETPM Environment Health Monitoring Tools

    - by Paula Speranza-Hadley
    This post is to provide some useful information about the tools typically used by Oracle ETPM implementations for performance tuning and analysis.   This includes tools to monitor and gather performance information and statistics on the Database, Application Server, and Client (browser).  Enterprise Monitoring Tools Oracle Enterprise Manager - OEM Grid Control comes with a comprehensive set of performance and health metrics that allow monitoring of key components in your environment such as applications, application servers, databases, as well as the back-end components on which they rely, such as hosts, operating systems and storage. Tools for the Database Oracle Diagnostics Pack Automatic Workload Repository (AWR)  - this tool gets statistics from memory abut the Time Model or DB Time, Wait Events, Active Session History and High Load SWL queries Automatic Database Diagnostic Monitor (ADDM) - This self-diagnostic software is built into the database.  It examines and analyzes data captured in AWR to dertermine possible performance issues.  It locates the root cause of the issue, provides recommendations for correcting the issues and qualifies the expected benefit. Oracle Database Tuning Pack SQL Tuning Advisor - This enables you to submit one or more SQL statements as input and receive output in the form of specific advice or recommendations on how to tune statements.  The recommendation relates to collection of statistics on objects, creation on new indexes and restructuring of SQL statements. SQL Access Advisor - This enables you to optimize data access paths of SQL queries by recommending a proper set of materialized views, indexes and partitions for a given SQL workload. Tools for the Application Server Weblogic Console - is a web-based, user interface used to configure and control a set of WebLogic servers or clusters (i.e. a "domain").  In any logical group of WebLogic servers there must exist one admin server, which hosts the WebLogic Admin console application and manages the associated configuratoin files. WebLogic Administrators will use the Administration Console for a number of tasks, including: Starting and stopping WebLogic servers or entire clusters. Configuring server parameters, security, database connections and deployed applications. Viewing server status, health and metrics. Yourkit for Profiling - helps analyze synchronization issues, including: Which threads were calling wait(), and for how long Which threads were blocked on attempt to acquire a monitor held by another thread (synchronized methods/blocks), and for how long Tools for the Client Fiddler - allows you to inspect traffic logs, debug and set breakpoints. Firebug – allows you to inspect and edit HTML, monitor network activity and debug JavaScript

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  • Convert ddply {plyr} to Oracle R Enterprise, or use with Embedded R Execution

    - by Mark Hornick
    The plyr package contains a set of tools for partitioning a problem into smaller sub-problems that can be more easily processed. One function within {plyr} is ddply, which allows you to specify subsets of a data.frame and then apply a function to each subset. The result is gathered into a single data.frame. Such a capability is very convenient. The function ddply also has a parallel option that if TRUE, will apply the function in parallel, using the backend provided by foreach. This type of functionality is available through Oracle R Enterprise using the ore.groupApply function. In this blog post, we show a few examples from Sean Anderson's "A quick introduction to plyr" to illustrate the correpsonding functionality using ore.groupApply. To get started, we'll create a demo data set and load the plyr package. set.seed(1) d <- data.frame(year = rep(2000:2014, each = 3),         count = round(runif(45, 0, 20))) dim(d) library(plyr) This first example takes the data frame, partitions it by year, and calculates the coefficient of variation of the count, returning a data frame. # Example 1 res <- ddply(d, "year", function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(cv.count = cv)   }) To illustrate the equivalent functionality in Oracle R Enterprise, using embedded R execution, we use the ore.groupApply function on the same data, but pushed to the database, creating an ore.frame. The function ore.push creates a temporary table in the database, returning a proxy object, the ore.frame. D <- ore.push(d) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(year=x$year[1], cv.count = cv)   }, FUN.VALUE=data.frame(year=1, cv.count=1)) You'll notice the similarities in the first three arguments. With ore.groupApply, we augment the function to return the specific data.frame we want. We also specify the argument FUN.VALUE, which describes the resulting data.frame. From our previous blog posts, you may recall that by default, ore.groupApply returns an ore.list containing the results of each function invocation. To get a data.frame, we specify the structure of the result. The results in both cases are the same, however the ore.groupApply result is an ore.frame. In this case the data stays in the database until it's actually required. This can result in significant memory and time savings whe data is large. R> class(res) [1] "ore.frame" attr(,"package") [1] "OREbase" R> head(res)    year cv.count 1 2000 0.3984848 2 2001 0.6062178 3 2002 0.2309401 4 2003 0.5773503 5 2004 0.3069680 6 2005 0.3431743 To make the ore.groupApply execute in parallel, you can specify the argument parallel with either TRUE, to use default database parallelism, or to a specific number, which serves as a hint to the database as to how many parallel R engines should be used. The next ddply example uses the summarise function, which creates a new data.frame. In ore.groupApply, the year column is passed in with the data. Since no automatic creation of columns takes place, we explicitly set the year column in the data.frame result to the value of the first row, since all rows received by the function have the same year. # Example 2 ddply(d, "year", summarise, mean.count = mean(count)) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   data.frame(year=x$year[1], mean.count = mean.count)   }, FUN.VALUE=data.frame(year=1, mean.count=1)) R> head(res)    year mean.count 1 2000 7.666667 2 2001 13.333333 3 2002 15.000000 4 2003 3.000000 5 2004 12.333333 6 2005 14.666667 Example 3 uses the transform function with ddply, which modifies the existing data.frame. With ore.groupApply, we again construct the data.frame explicilty, which is returned as an ore.frame. # Example 3 ddply(d, "year", transform, total.count = sum(count)) res <- ore.groupApply (D, D$year, function(x) {   total.count <- sum(x$count)   data.frame(year=x$year[1], count=x$count, total.count = total.count)   }, FUN.VALUE=data.frame(year=1, count=1, total.count=1)) > head(res)    year count total.count 1 2000 5 23 2 2000 7 23 3 2000 11 23 4 2001 18 40 5 2001 4 40 6 2001 18 40 In Example 4, the mutate function with ddply enables you to define new columns that build on columns just defined. Since the construction of the data.frame using ore.groupApply is explicit, you always have complete control over when and how to use columns. # Example 4 ddply(d, "year", mutate, mu = mean(count), sigma = sd(count),       cv = sigma/mu) res <- ore.groupApply (D, D$year, function(x) {   mu <- mean(x$count)   sigma <- sd(x$count)   cv <- sigma/mu   data.frame(year=x$year[1], count=x$count, mu=mu, sigma=sigma, cv=cv)   }, FUN.VALUE=data.frame(year=1, count=1, mu=1,sigma=1,cv=1)) R> head(res)    year count mu sigma cv 1 2000 5 7.666667 3.055050 0.3984848 2 2000 7 7.666667 3.055050 0.3984848 3 2000 11 7.666667 3.055050 0.3984848 4 2001 18 13.333333 8.082904 0.6062178 5 2001 4 13.333333 8.082904 0.6062178 6 2001 18 13.333333 8.082904 0.6062178 In Example 5, ddply is used to partition data on multiple columns before constructing the result. Realizing this with ore.groupApply involves creating an index column out of the concatenation of the columns used for partitioning. This example also allows us to illustrate using the ORE transparency layer to subset the data. # Example 5 baseball.dat <- subset(baseball, year > 2000) # data from the plyr package x <- ddply(baseball.dat, c("year", "team"), summarize,            homeruns = sum(hr)) We first push the data set to the database to get an ore.frame. We then add the composite column and perform the subset, using the transparency layer. Since the results from database execution are unordered, we will explicitly sort these results and view the first 6 rows. BB.DAT <- ore.push(baseball) BB.DAT$index <- with(BB.DAT, paste(year, team, sep="+")) BB.DAT2 <- subset(BB.DAT, year > 2000) X <- ore.groupApply (BB.DAT2, BB.DAT2$index, function(x) {   data.frame(year=x$year[1], team=x$team[1], homeruns=sum(x$hr))   }, FUN.VALUE=data.frame(year=1, team="A", homeruns=1), parallel=FALSE) res <- ore.sort(X, by=c("year","team")) R> head(res)    year team homeruns 1 2001 ANA 4 2 2001 ARI 155 3 2001 ATL 63 4 2001 BAL 58 5 2001 BOS 77 6 2001 CHA 63 Our next example is derived from the ggplot function documentation. This illustrates the use of ddply within using the ggplot2 package. We first create a data.frame with demo data and use ddply to create some statistics for each group (gp). We then use ggplot to produce the graph. We can take this same code, push the data.frame df to the database and invoke this on the database server. The graph will be returned to the client window, as depicted below. # Example 6 with ggplot2 library(ggplot2) df <- data.frame(gp = factor(rep(letters[1:3], each = 10)),                  y = rnorm(30)) # Compute sample mean and standard deviation in each group library(plyr) ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y)) # Set up a skeleton ggplot object and add layers: ggplot() +   geom_point(data = df, aes(x = gp, y = y)) +   geom_point(data = ds, aes(x = gp, y = mean),              colour = 'red', size = 3) +   geom_errorbar(data = ds, aes(x = gp, y = mean,                                ymin = mean - sd, ymax = mean + sd),              colour = 'red', width = 0.4) DF <- ore.push(df) ore.tableApply(DF, function(df) {   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4) }) But let's take this one step further. Suppose we wanted to produce multiple graphs, partitioned on some index column. We replicate the data three times and add some noise to the y values, just to make the graphs a little different. We also create an index column to form our three partitions. Note that we've also specified that this should be executed in parallel, allowing Oracle Database to control and manage the server-side R engines. The result of ore.groupApply is an ore.list that contains the three graphs. Each graph can be viewed by printing the list element. df2 <- rbind(df,df,df) df2$y <- df2$y + rnorm(nrow(df2)) df2$index <- c(rep(1,300), rep(2,300), rep(3,300)) DF2 <- ore.push(df2) res <- ore.groupApply(DF2, DF2$index, function(df) {   df <- df[,1:2]   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4)   }, parallel=TRUE) res[[1]] res[[2]] res[[3]] To recap, we've illustrated how various uses of ddply from the plyr package can be realized in ore.groupApply, which affords the user explicit control over the contents of the data.frame result in a straightforward manner. We've also highlighted how ddply can be used within an ore.groupApply call.

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  • Mysql hosting for application backend

    - by churnd
    I've been asked to help set up a way for a volunteer animal rescue organization to use an application to keep track of animals they've rescued. This application already exists, and can use it's own local database or connect to a MySQL database server. Since there are several volunteers spread out over a large region, a database server would be the best way to go. Money is a big problem, obviously. So, I'm looking for a very cheap or hopefully free database server or webhost that allows tcp/ip connections to their database servers. Backups will be handled on our end, so basically I just need the hosted mysql server. I've seen 000webhost.com, x10hosting, and xtreemhost, which all look promising, but they either aren't clear on remote mysql connections, or don't allow it at all. Looking forward to your recommendations! The animals thank you! :)

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  • FoxTales: Behind the Scenes at Fox Software by Kerry Nietz

    Flash backs from the past! It's truly amazing to discover that software development from freshman to senior level as well as project management hasn't changed that much. Kerry Nietz describes his memoir from his final year at college to his first job at Fox Software to 'an early retirement' at Microsoft. This title also brought his other fictional novels to my attention. Once again here is the review I published on Amazon: Built to last! I have been around in software development for more than a decade now but honestly I have to admit it is only now that I took the opportunity to read about the history of my used to be primary programming language. In fact, I started with Visual FoxPro 6 back in 1999 and went only down to FoxPro for Windows 2.6 during migration projects - long after the stories described in this title. It is really interesting to see how they actually managed to create a great product with such a small team of developers. "Create the best Report Writer in the world, out of only sawdust, bubblegum, and dreams." - That's the best sentence I'm going to quote from this title in the future. An inspiration to achieve the impossible, only by taking small steps. Just begin the journey - one step after the next one. If you fall, stand up and continue to walk. Kerry takes the reader on an amazing trip through almost 4 years working at a small software company in Perrysburg, Ohio. That went from a another 'look-alike' of the mighty Ashton-Tate dBase to the leading force in database development, long before Microsoft Access (project name: Cirrus) was even finished. It survived Borland Paradox and even nowadays Visual FoxPro is still in daily use in thousands of companies world-wide. Actually, I'm glad that I had the chance to foster my programming knowledge with Visual FoxPro. After his excellent work in software development, Kerry went for a second career as a writer. I'm looking forward to read his other titles soon:

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  • XAMPP pointing a file outside root folder

    - by Ravi
    I am using XAMPP for first time in Mac. Running out problems accessing other than root folder(htdocs).when I am placing my web application inside htdocs with default httpd.conf file it works when I try to point my web application url in httpd.conf it throws error I am aware that to modify the root folder I need to do changes to my XAMPP/etc/httpd.conf file With Default XAMPP MAC Settings, I am trying to change Server root,Document root and Directory in XAMPP/etc/httpd.conf file the following ServerRoot "/Users/ravi/Documents/Development/Backbone/backboneboilerplate" DocumentRoot "/Users/ravi/Documents/Development/Backbone/backboneboilerplate" <Directory /> Options FollowSymLinks AllowOverride All Order deny,allow Deny from all </Directory> <Directory "/Users/ravi/Documents/Development/Backbone/backboneboilerplate"> Options Indexes FollowSymLinks AllowOverride All Order allow,deny Allow from all </Directory> its throwing error when trying to start XAMPP httpd: Syntax error on line 54 of /Applications/XAMPP/xamppfiles/etc/httpd.conf: Cannot load /Users/ravi/Documents/Development/Backbone/backboneboilerplate/modules/mod_authn_file.so into server: cannot create object file image or add library

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  • Ruby workflow in Windows

    - by Rig
    I've done some searching and quite haven't come across the answer I am looking for. I do not think this is a duplicate of this question. I believe Windows could be a suitable development environment based on the mix of answers in that question. I have been developing in Ruby (mostly Rails but not entirely) for about a year now for personal projects on a Macbook Pro however that machine has faced an untimely death and has been replaced with a nice Windows 7 machine. Ruby development felt almost natural on the Mac after doing some research and setting up the typical stack. My environment then included the standard (Linux like) stuff built into OSX, Text Wrangler, Git, RVM, et al. Not too much of a deviation from what the 'devotees' tend to assume. Now I am setting up my new Windows box for continuing that development. What would my development environment look like? Should I just cave and run Linux in a VM? Ideally I would develop in Windows native. I am aware of the Windows Ruby installer. It seems decent but its not exactly as nice as RVM in the osx/linux world. Mercurial/Git are available so I would assume they play into the stack. Does one develop entirely in Windows? Does one run a webserver in a Linux VM and use it as a test bed while developing in Windows? Do it all in a VM? What does the standard Windows Ruby developer environment look like and what is the workflow? What would a typical step through be for adding a new feature to an ongoing project and what would the technology stack look like?

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  • Sandboxie or VHD for virtual environment?

    - by lucian.jp
    I am looking for advices about creating virtual development environment. Is it better to have a base VHD file with differential VHD for stable development environment and another differential VHD file for beta development environment or should I install Sandboxie 64-bit and install both environment in different sandbox? I am concern about windows services and shortcuts with the sandbox. Current OS : Windows 7 64-bit

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  • ArchBeat Link-o-Rama for November 30, 2012

    - by Bob Rhubart
    Oracle SOA Database Adapter Polling in a Cluster: A Handy Logical Delete Pattern | Carlo Arteaga "Using the SOA database adapter usually becomes easier when the adapter is simply viewed and treated as a gateway between the Oracle SOA composite world and the database world," says Carlo Arteaga. "When viewing the adapter in this light one should come to understand that the adapter is not the ultimate all-in-one solution for database access and database logic needs." OIM 11g : Multi-thread approach for writing custom scheduled job | Saravanan V S Saravanan shares insight and expertise relevant to "designing and developing an OIM schedule job that uses multi threaded approach for updating data in OIM using APIs." When Premature Optimization Isn't | Dustin Marx "Perhaps the most common situations in which I have seen developers make bad decisions under the pretense of 'avoiding premature optimization' is making bad architecture or design choices," says Dustin Marx. Protecting Intranet and Extranet Applications with a Single OAM 11g Deployment | Brian Eidelman Oracle Fusion Middleware A-Team member Brian Eideleman's post, part of the Oracle Access Manager Academy series, explores issues and soluions around setting up a single OAM deployment to protect both intranet and extranet apps. Thought for the Day "Never make a technical decision based upon the politics of the situation, and never make a political decision based upon technical issues." — Geoffrey James Source: SoftwareQuotes.com

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  • Adopting Technologies for the Sake of Technologies

    - by shiju
    Unlike other engineering industries, the software engineering industry is really lacking maturity. The lack of maturity can see in different aspects of entire software development life cycle. I think other engineering industries are well organised and structured with common, proven engineering practices. The software engineering industry is greatly a diverse industry with different operating systems, and variety of development platforms, programming languages, frameworks and tools. Now these days, people are going behind the hypes and intellectual thoughts without understanding their core business problems and adopting technologies and practices for the sake of technologies and practices and simply becoming a “poster child” of technologies and practices. Understanding the core business problem and providing best, solid solution with a platform neutral approach, will give you more business values and ROI, instead of blindly adopting technologies and tailor-made your applications for the sake of technologies and practices. People have been simply migrating their solutions in favour of new technologies and different versions of frameworks without any business need. The “Pepsi Challenge” in the Software Development  Pepsi Challenge marketing campaign of the 1980s was a popular and very interesting marketing promotion in which people taste one cup of Pepsi and another cup with Coca Cola. In the taste test, more than 50% of people were preferred Pepsi  over Coca Cola. The success story behind the Pepsi was more sweetness contains in the Pepsi cola. They have simply added more sugar and more people preferred more sweet flavour. You can’t simply identify the better one after sipping one cup of cola based on the sweetness which contains. These things have been happening in the software industry for choosing development frameworks and technologies. People have been simply choosing frameworks based on the initial sugary feeling without understanding its core strengths and weakness. The sugary framework might be more harmful when you develop real-world systems. There is not any silver bullet for solving all kind of problems and frameworks and tools do have strengths and weakness. So it would be better to understand their strength and weakness. And please keep in mind that you have to develop real apps to understand the real capabilities and weakness of a framework. Evaluating a technology based on few blog posts will harm your projects and these bloggers might be lacking real-world experience with the framework. The Problem with Align a Development Practice with Tools Recently I have observed a discussion in a group where one guy asked suggestions for practicing Continuous Delivery (CD) as part of the agile based application engineering. Then the discussion quickly went to using and choosing a Continuous Integration (CI) tool and different people suggested different Continuous Integration (CI) tools for simply practicing Continuous Delivery. If you have worked with core agile engineering practices, you could clearly know that the real essence of agile is neither choosing a tool nor choosing a process. By simply choosing CI tool from a particular vendor will not ensure that you are delivering an evolving software based on customer feedback. You have to understand the real essence of a engineering practice and choose a right tool for practicing it instead of simply focus on a particular tool for a practicing an development practice. If you want to adopt a practice, you need a solid understanding on it with its real essence where tools are just helping us for better automation. Adopting New Technologies for the Sake of Technologies The another problem is that developers have been a tendency to adopt new technologies and simply migrating their existing apps to new technologies. It is okay if your existing system is having problem  with a technology stack or or maintainability challenge with existing solution, and moving to new technology for solving the current problems. We have been adopting new technologies for solving new challenges like solving the scalability challenges when the application or user bases is growing unpredictably. Please keep in mind that all new technologies will become old after working with it for few years. The below Facebook status update of Janakiraman, expresses the attitude of a typical customer. For an example, Node.js is becoming a hottest buzzword in the software industry and many developers are trying to adopt Node.js for their apps. The important thing is that Node.js is a minimalist framework that does some great things for some problems, but it’s not a silver bullet. I have been also working with Node.js which is good for some problems, but really bad for choosing it for all kind of problems. By adopting new technologies for new projects is good if we could get real business values from it because newer framework would solve some existing well known problems and provide better solutions where it can incorporate good solutions for the latest challenges . But adopting a new technology for the sake of new technology is really bad idea. Another example is JavaScript is getting lot of attention so that lot of developers are developing heavy JavaScript centric web apps. First, they will adopt a client-side JavaScript MV* framework from AngularJS, Ember, Backbone etc, and develop a Single Page App(SPA) where they are repeating the mistakes we did in the past with server-side. The mistakes we did in the server-side is transforming to client-side. The problem is that people are just adopting new technologies, but not improving their solutions. I predict that many Single Page App will suck in the future. We need a hybrid approach where we should be able to leverage both server-side and client-side for developing next-generation web apps. The another problem is that if you like a particular framework, use it for all kind of apps. In the past, I know some Silverlight passionate guys were tried to use that framework for all kind of apps including larger line of business apps. And these days developers are migrating their existing Silverlight apps in favour of HTML5 buzzword. So the real question is, what is the business values we are getting from these apps when we are developing it for the sake of a particular technology instead of business need. The another problem is that our solutions consultants are trying to provide unnecessary solutions for the sake of a particular technology or for a hype. For an example, Big Data solutions are great for solving the problem of three Vs : volume, velocity and variety. But trying to put this for every application will make problems. Let’s say, there is a small web site running with limited budget and saying that we need a recommendation engine for the web site with a Hadoop based solution with a 16 node cluster, would be really horrible. If we really need a Hadoop based solution, got for it, but trying to put this for all application would be a big disaster. It would be great if could understand the core business problems first, and later choose a right framework for providing solutions for the actual business problem, instead of trying to provide so many solutions. The Problem with Tied Up to a Platform Vendor Some organizations and teams are tied up with a particular platform vendor where they don’t want to use any product other than their preferred or existing platform vendor. They will accept any product provided by the vendor regardless of its capability. This will lets you some benefits regards with integration and collaboration of different products provided by the same vendor, but it will loose your opportunity to provide better solution for your business problems. For a real world sample scenario, lot of companies have been using SAP for their ERP solutions. When they are thinking about mobility or thinking about developing hybrid mobile apps, they can easily find out a framework from SAP. SAP provides a framework for HTML 5 based UI development named SAPUI5. If you are simply adopting that framework only based for the preference of existing platform vendor, you might be loose different opportunities for providing better solution. Initially you might enjoy the sugary feeling provided by the platform vendor, but you have to think about developing apps which should be capable for solving future challenges. I am not saying that any framework is not good and I believe that all frameworks are good over another one for solving at least one problem. My point is that we should not tied up with any specific platform vendor unless your organization is having resource availability problems. Being Polyglot for Providing Right Solutions The modern software engineering industry is greatly diverse with different tools and platforms. Lot of open source frameworks and new programming languages have been releasing to the developer community, where choosing the right platform without any biased opinion, is really a difficult task. But it would really great if we could develop an attitude with platform neutral mindset and being a polyglot developer for providing better solutions based on the actual business problems. IMHO, we should learn a new programming language and a new framework every year. This will improve the quality of our developer capabilities and also improve the quality of our primary programming language skills. Being polyglot for individual developers and organizational teams will give you greater opportunity to your developer experience and also for your applications. Organizations can analyse their business problem without tied with any technology and later they can provide solutions by choosing different platform and tools. Summary    In this blog post, what I was trying to say that we should not tied up or biased with any development platform, technology, vendor or programming language and we should not adopt technologies and practices for the sake of technologies. If we are adopting a technology or a practice for the sake of it, we are simply becoming a “poster child” of the technology and practice. We should not become a poster child of other people’s intellectual thoughts and theories, instead of it we should become solutions developers and solutions consultants where we should be able to provide better solutions for the business problems. Being a polyglot developer is a good idea for improving your developer skills which lets you provide better solutions for the business problems. The most important thing is that we should become platform neutral developers where our passion should be for providing brilliant solutions. It would be great if we could provide minimalist, pragmatic business solutions. You can follow me on Twitter @shijucv

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  • WebCenter Content (WCC) Trace Sections

    - by Kevin Smith
    Kyle has a good post on how to modify the size and number of WebCenter Content (WCC) trace files. His post reminded me I have been meaning to write a post on WCC trace sections for a while. searchcache - Tells you if you query was found in the WCC search cache. searchquery - Shows the processing of the query as it is converted form what the user submitted to the end query that will be sent to the database. Shows conversion from the universal query syntax to the syntax specific to the search solution WCC is configured to use. services (verbose) - Lists the filters that are called for each service. This will let you know what filters are available for each service and will also tell you what filters are used by WCC add-on components and any custom components you have installed. The How To Component Sample has a list of filters, but it has not been updated since 7.5, so it is a little outdated now. With each new release WCC adds more filters. If you have a filter that has no code attached to it you will see output like this: services/6    09.25 06:40:26.270    IdcServer-423    Called filter event computeDocName with no filter plugins registered When a WCC add-on or custom component uses a filter you will see trace output like this: services/6    09.25 06:40:26.275    IdcServer-423    Calling filter event postValidateCheckinData on class collections.CollectionValidateCheckinData with parameter postValidateCheckinDataservices/6    09.25 06:40:26.275    IdcServer-423    Calling filter event postValidateCheckinData on class collections.CollectionFilters with parameter postValidateCheckinData As you can see from this sample output it is possible to have multiple code points using the same filter. systemdatabase - Dumps the database call AFTER it executes. This can be somewhat troublesome if you are trying to track down some weird database problems. We had a problem where WCC was getting into a deadlock situation. We turned on the systemdatabase trace section and thought we had the problem database call, but it turned out since it printed out the database call after it was executed we were looking at the database call BEFORE the one causing the deadlock. We ended up having to turn on tracing at the database level to see the database call WCC was making that was causing the deadlock. socketrequests (verbose) - dumps the actual messages received and sent over the socket connection by WCC for a service. If you have gzip enabled you will see junk on the response coming back from WCC. For debugging disable the gzip of the WCC response.Here is an example of the dump of the request for a GET_SEARCH_RESULTS service call. socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: REMOTE_USER=sysadmin.USER-AGENT=Java;.Stel socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: lent.CIS.11g.CONTENT_TYPE=text/html.HEADER socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: _ENCODING=UTF-8.REQUEST_METHOD=POST.CONTEN socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: T_LENGTH=270.HTTP_HOST=CIS.$$$$.NoHttpHead socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: ers=0.IsJava=1.IdcService=GET_SEARCH_RESUL socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: [email protected] socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: calData.SortField=dDocName.ClientEncoding= socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: UTF-8.IdcService=GET_SEARCH_RESULTS.UserTi socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: meZone=UTC.UserDateFormat=iso8601.SortDesc socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: =ASC.QueryText=dDocType..matches..`Documen socketrequests/6 09.25 06:46:02.501 IdcServer-6 request: t`.@end. userstorage, jps - Provides trace details for user authentication and authorization. Includes information on the determination of what roles and accounts a user has access to. In 11g a new trace section, jps, was added with the addition of the JpsUserProvider to communicate with WebLogic Server. The WCC developers decide when to use the verbose option for their trace output, so sometime you need to try verbose to see what different information you get. One of the things I would always have liked to see if the ability to turn on verbose output selectively for individual trace sections. When you turn on verbose output you get it for all trace sections you have enabled. This can quickly fill up your trace files with a lot of information if you have the socket trace section turned on.

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  • ASP.NET 4.0 and the Entity Framework 4 - Part 2: Perform CRUD Operations Using the Entity Framework

    In this article, Vince demonstrates the usage of the Entity Framework 4 to create, read, update, and delete records in the database which was created in Part 1 of this series. After a short introduction, he discusses the various step involved in the modification of the database, creation of a web form, the selection records to load a drop down list, and the adding, updating, deletion and retrieval of records from the database with the help of relevant source code and screen shots.

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