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  • How to make Shared Keys .ssh/authorized_keys and sudo work together?

    - by farinspace
    I've setup the .ssh/authorized_keys and am able to login with the new "user" using the pub/private key ... I have also added "user" to the sudoers list ... the problem I have now is when I try to execute a sudo command, something simple like: $ sudo cd /root it will prompt me for my password, which I enter, but it doesn't work (I am using the private key password I set) Also, ive disabled the users password using $ passwd -l user What am I missing? Somewhere my initial remarks are being misunderstood ... I am trying to harden my system ... the ultimate goal is to use pub/private keys to do logins versus simple password authentication. I've figured out how to set all that up via the authorized_keys file. Additionally I will ultimately prevent server logins through the root account. But before I do that I need sudo to work for a second user (the user which I will be login into the system with all the time). For this second user I want to prevent regular password logins and force only pub/private key logins, if I don't lock the user via" passwd -l user ... then if i dont use a key, i can still get into the server with a regular password. But more importantly I need to get sudo to work with a pub/private key setup with a user whos had his/her password disabled. Edit: Ok I think I've got it (the solution): 1) I've adjusted /etc/ssh/sshd_config and set PasswordAuthentication no This will prevent ssh password logins (be sure to have a working public/private key setup prior to doing this 2) I've adjusted the sudoers list visudo and added root ALL=(ALL) ALL dimas ALL=(ALL) NOPASSWD: ALL 3) root is the only user account that will have a password, I am testing with two user accounts "dimas" and "sherry" which do not have a password set (passwords are blank, passwd -d user) The above essentially prevents everyone from logging into the system with passwords (a public/private key must be setup). Additionally users in the sudoers list have admin abilities. They can also su to different accounts. So basically "dimas" can sudo su sherry, however "dimas can NOT do su sherry. Similarly any user NOT in the sudoers list can NOT do su user or sudo su user. NOTE The above works but is considered poor security. Any script that is able to access code as the "dimas" or "sherry" users will be able to execute sudo to gain root access. A bug in ssh that allows remote users to log in despite the settings, a remote code execution in something like firefox, or any other flaw that allows unwanted code to run as the user will now be able to run as root. Sudo should always require a password or you may as well log in as root instead of some other user.

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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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  • How to correctly track the analytics when using iframe

    - by Sherry Ann Hernandez
    In our main aspx page we have this analytics code <script type="text/javascript"> var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-1301114-2']); _gaq.push(['_setDomainName', 'florahospitality.com']); _gaq.push(['_setAllowLinker', true]); _gaq.push(['_trackPageview']); _gaq.push(function() { var pageTracker = _gat._getTrackerByName(); var iframe = document.getElementById('reservationFrame'); iframe.src = pageTracker._getLinkerUrl('https://reservations.synxis.com/xbe/rez.aspx?Hotel=15159&template=flex&shell=flex&Chain=5375&locale=en&arrive=11/12/2012&depart=11/13/2012&adult=2&child=0&rooms=1&start=availresults&iata=&promo=&group='); }); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> Then inside this aspx page is an iframe. Inside the iframe we setup this analytics code <script type="text/javascript"> var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-1301114-2']); _gaq.push(['_setDomainName', 'reservations.synxis.com']); _gaq.push(['_setAllowLinker', true]); _gaq.push(['_trackPageview', 'AvailabilityResults']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> The problem is I see to pageview when I go to find the AvailabilityResults page. The first one is a direct traffic and the other one is a cpc. How come that they have different source? I was expecting that both of them is using a direct traffic.

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  • ROracle support for TimesTen In-Memory Database

    - by Sherry LaMonica
    Today's guest post comes from Jason Feldhaus, a Consulting Member of Technical Staff in the TimesTen Database organization at Oracle.  He shares with us a sample session using ROracle with the TimesTen In-Memory database.  Beginning in version 1.1-4, ROracle includes support for the Oracle Times Ten In-Memory Database, version 11.2.2. TimesTen is a relational database providing very fast and high throughput through its memory-centric architecture.  TimesTen is designed for low latency, high-volume data, and event and transaction management. A TimesTen database resides entirely in memory, so no disk I/O is required for transactions and query operations. TimesTen is used in applications requiring very fast and predictable response time, such as real-time financial services trading applications and large web applications. TimesTen can be used as the database of record or as a relational cache database to Oracle Database. ROracle provides an interface between R and the database, providing the rich functionality of the R statistical programming environment using the SQL query language. ROracle uses the OCI libraries to handle database connections, providing much better performance than standard ODBC.The latest ROracle enhancements include: Support for Oracle TimesTen In-Memory Database Support for Date-Time using R's POSIXct/POSIXlt data types RAW, BLOB and BFILE data type support Option to specify number of rows per fetch operation Option to prefetch LOB data Break support using Ctrl-C Statement caching support Times Ten 11.2.2 contains enhanced support for analytics workloads and complex queries: Analytic functions: AVG, SUM, COUNT, MAX, MIN, DENSE_RANK, RANK, ROW_NUMBER, FIRST_VALUE and LAST_VALUE Analytic clauses: OVER PARTITION BY and OVER ORDER BY Multidimensional grouping operators: Grouping clauses: GROUP BY CUBE, GROUP BY ROLLUP, GROUP BY GROUPING SETS Grouping functions: GROUP, GROUPING_ID, GROUP_ID WITH clause, which allows repeated references to a named subquery block Aggregate expressions over DISTINCT expressions General expressions that return a character string in the source or a pattern within the LIKE predicate Ability to order nulls first or last in a sort result (NULLS FIRST or NULLS LAST in the ORDER BY clause) Note: Some functionality is only available with Oracle Exalytics, refer to the TimesTen product licensing document for details. Connecting to TimesTen is easy with ROracle. Simply install and load the ROracle package and load the driver. > install.packages("ROracle") > library(ROracle) Loading required package: DBI > drv <- dbDriver("Oracle") Once the ROracle package is installed, create a database connection object and connect to a TimesTen direct driver DSN as the OS user. > conn <- dbConnect(drv, username ="", password="", dbname = "localhost/SampleDb_1122:timesten_direct") You have the option to report the server type - Oracle or TimesTen? > print (paste ("Server type =", dbGetInfo (conn)$serverType)) [1] "Server type = TimesTen IMDB" To create tables in the database using R data frame objects, use the function dbWriteTable. In the following example we write the built-in iris data frame to TimesTen. The iris data set is a small example data set containing 150 rows and 5 columns. We include it here not to highlight performance, but so users can easily run this example in their R session. > dbWriteTable (conn, "IRIS", iris, overwrite=TRUE, ora.number=FALSE) [1] TRUE Verify that the newly created IRIS table is available in the database. To list the available tables and table columns in the database, use dbListTables and dbListFields, respectively. > dbListTables (conn) [1] "IRIS" > dbListFields (conn, "IRIS") [1] "SEPAL.LENGTH" "SEPAL.WIDTH" "PETAL.LENGTH" "PETAL.WIDTH" "SPECIES" To retrieve a summary of the data from the database we need to save the results to a local object. The following call saves the results of the query as a local R object, iris.summary. The ROracle function dbGetQuery is used to execute an arbitrary SQL statement against the database. When connected to TimesTen, the SQL statement is processed completely within main memory for the fastest response time. > iris.summary <- dbGetQuery(conn, 'SELECT SPECIES, AVG ("SEPAL.LENGTH") AS AVG_SLENGTH, AVG ("SEPAL.WIDTH") AS AVG_SWIDTH, AVG ("PETAL.LENGTH") AS AVG_PLENGTH, AVG ("PETAL.WIDTH") AS AVG_PWIDTH FROM IRIS GROUP BY ROLLUP (SPECIES)') > iris.summary SPECIES AVG_SLENGTH AVG_SWIDTH AVG_PLENGTH AVG_PWIDTH 1 setosa 5.006000 3.428000 1.462 0.246000 2 versicolor 5.936000 2.770000 4.260 1.326000 3 virginica 6.588000 2.974000 5.552 2.026000 4 <NA> 5.843333 3.057333 3.758 1.199333 Finally, disconnect from the TimesTen Database. > dbCommit (conn) [1] TRUE > dbDisconnect (conn) [1] TRUE We encourage you download Oracle software for evaluation from the Oracle Technology Network. See these links for our software: Times Ten In-Memory Database,  ROracle.  As always, we welcome comments and questions on the TimesTen and  Oracle R technical forums.

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  • Oracle R Distribution 2-13.2 Update Available

    - by Sherry LaMonica
    Oracle has released an update to the Oracle R Distribution, an Oracle-supported distribution of open source R. Oracle R Distribution 2-13.2 now contains the ability to dynamically link the following libraries on both Windows and Linux: The Intel Math Kernel Library (MKL) on Intel chips The AMD Core Math Library (ACML) on AMD chips To take advantage of the performance enhancements provided by Intel MKL or AMD ACML in Oracle R Distribution, simply add the MKL or ACML shared library directory to the LD_LIBRARY_PATH system environment variable. This automatically enables MKL or ACML to make use of all available processors, vastly speeding up linear algebra computations and eliminating the need to recompile R.  Even on a single core, the optimized algorithms in the Intel MKL libraries are faster than using R's standard BLAS library. Open-source R is linked to NetLib's BLAS libraries, but they are not multi-threaded and only use one core. While R's internal BLAS are efficient for most computations, it's possible to recompile R to link to a different, multi-threaded BLAS library to improve performance on eligible calculations. Compiling and linking to R yourself can be involved, but for many, the significantly improved calculation speed justifies the effort. Oracle R Distribution notably simplifies the process of using external math libraries by enabling R to auto-load MKL or ACML. For R commands that don't link to BLAS code, taking advantage of database parallelism using embedded R execution in Oracle R Enterprise is the route to improved performance. For more information about rebuilding R with different BLAS libraries, see the linear algebra section in the R Installation and Administration manual. As always, the Oracle R Distribution is available as a free download to anyone. Questions and comments are welcome on the Oracle R Forum.

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  • ORE graphics using Remote Desktop Protocol

    - by Sherry LaMonica
    Oracle R Enterprise graphics are returned as raster, or bitmap graphics. Raster images consist of tiny squares of color information referred to as pixels that form points of color to create a complete image. Plots that contain raster images render quickly in R and create small, high-quality exported image files in a wide variety of formats. However, it is a known issue that the rendering of raster images can be problematic when creating graphics using a Remote Desktop connection. Raster images do not display in the windows device using Remote Desktop under the default settings. This happens because Remote Desktop restricts the number of colors when connecting to a Windows machine to 16 bits per pixel, and interpolating raster graphics requires many colors, at least 32 bits per pixel.. For example, this simple embedded R image plot will be returned in a raster-based format using a standalone Windows machine:  R> library(ORE) R> ore.connect(user="rquser", sid="orcl", host="localhost", password="rquser", all=TRUE)  R> ore.doEval(function() image(volcano, col=terrain.colors(30))) Here, we first load the ORE packages and connect to the database instance using database login credentials. The ore.doEval function executes the R code within the database embedded R engine and returns the image back to the client R session. Over a Remote Desktop connection under the default settings, this graph will appear blank due to the restricted number of colors. Users who encounter this issue have two options to display ORE graphics over Remote Desktop: either raise Remote Desktop's Color Depth or direct the plot output to an alternate device. Option #1: Raise Remote Desktop Color Depth setting In a Remote Desktop session, all environment variables, including display variables determining Color Depth, are determined by the RCP-Tcp connection settings. For example, users can reduce the Color Depth when connecting over a slow connection. The different settings are 15 bits, 16 bits, 24 bits, or 32 bits per pixel. To raise the Remote Desktop color depth: On the Windows server, launch Remote Desktop Session Host Configuration from the Accessories menu.Under Connections, right click on RDP-Tcp and select Properties.On the Client Settings tab either uncheck LimitMaximum Color Depth or set it to 32 bits per pixel. Click Apply, then OK, log out of the remote session and reconnect.After reconnecting, the Color Depth on the Display tab will be set to 32 bits per pixel.  Raster graphics will now display as expected. For ORE users, the increased color depth results in slightly reduced performance during plot creation, but the graph will be created instead of displaying an empty plot. Option #2: Direct plot output to alternate device Plotting to a non-windows device is a good option if it's not possible to increase Remote Desktop Color Depth, or if performance is degraded when creating the graph. Several device drivers are available for off-screen graphics in R, such as postscript, pdf, and png. On-screen devices include windows, X11 and Cairo. Here we output to the Cairo device to render an on-screen raster graphic.  The grid.raster function in the grid package is analogous to other grid graphical primitives - it draws a raster image within the current plot's grid.  R> options(device = "CairoWin") # use Cairo device for plotting during the session R> library(Cairo) # load Cairo, grid and png libraries  R> library(grid) R> library(png)  R> res <- ore.doEval(function()image(volcano,col=terrain.colors(30))) # create embedded R plot  R> img <- ore.pull(res, graphics = TRUE)$img[[1]] # extract image  R> grid.raster(as.raster(readPNG(img)), interpolate = FALSE) # generate raster graph R> dev.off() # turn off first device   By default, the interpolate argument to grid.raster is TRUE, which means that what is actually drawn by R is a linear interpolation of the pixels in the original image. Setting interpolate to FALSE uses a sample from the pixels in the original image.A list of graphics devices available in R can be found in the Devices help file from the grDevices package: R> help(Devices)

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  • Oracle R Enterprise 1.1 Download Available

    - by Sherry LaMonica
    Oracle just released the latest update to Oracle R Enterprise, version 1.1. This release includes the Oracle R Distribution (based on open source R, version 2.13.2), an improved server installation, and much more.  The key new features include: Extended Server Support: New support for Windows 32 and 64-bit server components, as well as continuing support for Linux 64-bit server components Improved Installation: Linux 64-bit server installation now provides robust status updates and prerequisite checks Performance Improvements: Improved performance for embedded R script execution calculations In addition, the updated ROracle package, which is used with Oracle R Enterprise, now reads date data by conversion to character strings. We encourage you download Oracle software for evaluation from the Oracle Technology Network. See these links for R-related software: Oracle R Distribution, Oracle R Enterprise, ROracle, Oracle R Connector for Hadoop.  As always, we welcome comments and questions on the Oracle R Forum.

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  • Oracle R Distribution 3.1.1 Released

    - by Sherry LaMonica-Oracle
    Oracle R Distribution version 3.1.1 has been released to Oracle's public yum today. R-3.1.1 (code name "Sock it to Me") is an update to R-3.1.0 that consists mainly of bug fixes. It also includes enhancements related to accessing package help files, improved accuracy when importing data with large integers, and better integration with RStudio graphics. The full list of new features and bug fixes is listed in the NEWS file.To install Oracle R Distribution using yum, follow the instructions in the Oracle R Enterprise Installation and Administration Guide.Installing using yum will resolve any operating system dependencies automatically. As such, we recommend using yum to install Oracle R Distribution. However, if yum is not available, you can install Oracle R Distribution RPMs directly using RPM commands.For Oracle Linux 5, the Oracle R Distribution RPMs are available in the Enterprise Linux Add-Ons repository:  R-3.1.1-1.el5.x86_64.rpm   R-core-3.1.1-1.el5.x86_64.rpm  R-devel-3.1.1-1.el5.x86_64.rpm  libRmath-3.1.1-1.el5.x86_64.rpm  libRmath-devel-3.1.1-1.el5.x86_64.rpm  libRmath-static-3.1.1-1.el5.x86_64.rpm For Oracle Linux 6, the Oracle R Distribution RPMs are available in the Oracle Linux Add-Ons repository:  R-3.1.1-1.el6.x86_64.rpm  R-core-3.1.1-1.el6.x86_64.rpm  R-devel-3.1.1-1.el6.x86_64.rpm  libRmath-3.1.1-1.el6.x86_64.rpm  libRmath-devel-3.1.1-1.el6.x86_64.rpm  libRmath-static-3.1.1-1.el6.x86_64.rpmFor example, this command installs the R 3.1.1 RPM on Oracle Linux x86-64 version 6:  rpm -i R-3.1.1-1.el6.x86_64.rpm To complete the Oracle R Distribution 3.1.1 installation, repeat this command for each of the 6 RPMs, resolving dependencies as required. Oracle R Distribution 3.1.1 is not yet officially certified with Oracle R Enterprise. Refer to Table 1-2 in the Oracle R Enterprise Installation Guide for supported configurations of Oracle R Enterprise components, or check this blog for updates. The Oracle R Distribution 3.1.1 binaries for Windows, AIX, Solaris SPARC and Solaris x86 will be available on OSS, Oracle's Open Source Software portal, in the coming weeks.

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  • Video: Analyzing Big Data using Oracle R Enterprise

    - by Sherry LaMonica
    Learn how Oracle R Enterprise is used to generate new insight and new value to business, answering not only what happened, but why it happened. View this YouTube Oracle Channel video overview describing how analyzing big data using Oracle R Enterprise is different from other analytics tools at Oracle. Oracle R Enterprise (ORE),  a component of the Oracle Advanced Analytics Option, couples the wealth of analytics packages in R with the performance, scalability, and security of Oracle Database. ORE executes base R functions transparently on database data without having to pull data from Oracle Database. As an embedded component of the database, Oracle R Enterprise can run your R script and open source packages via embedded R where the database manages the data served to the R engine and user-controlled data parallelism. The result is faster and more secure access to data. ORE also works with the full suite of in-database analytics, providing integrated results to the analyst.

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  • best mysql field setup to have a "couples" member profile data saving.

    - by acctman
    Couple database profile entry, which would be the best way to save data. Also the data will be retrieved via php coding and if it could be down with one query code that would be ideal. Within the site_member table create multiple field for each field... ex: m_firstname1, m_firstname2, m_age1, m_age2, etc... Store the couple member data in one field each... and separate with a comma in the data field ex: m_firstname (Mike, Sherry) Create a separate table site_member_c duplicating the same fields that are in site_member table. This is roughly about 10 fields

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  • CodePlex Daily Summary for Tuesday, May 29, 2012

    CodePlex Daily Summary for Tuesday, May 29, 2012Popular ReleasesDotNetNuke Azure Accelerator: DotNetNuke Azure Accelerator 6.2: Windows Azure deployments of DotNetNuke Community using virtual hard drive (cloud-drive) image that is created dynamically on the cloud. Enables the creation of new DotNetNuke host instances from on-premise to the cloud using a wizard that guides you on this process, creating the SQL Azure database, uploading the solution engine and associated service configurations. New features in this releaseModified the web roles endpoints to allow traffic on port 443 Changed the package unzip operati...Thales Simulator Library: Version 0.9.6: The Thales Simulator Library is an implementation of a software emulation of the Thales (formerly Zaxus & Racal) Hardware Security Module cryptographic device. This release fixes a problem with the FK command and a bug in the implementation of PIN block 05 format deconstruction. A new 0.9.6.Binaries file has been posted. This includes executable programs without an installer, including the GUI and console simulators, the key manager and the PVV clashing demo. Please note that you will need ...myManga: myManga v1.0.0.2: Fixed the 'Lost+Brain' error on MangaReader. The main download has this update. The second download is for those who have already downloaded the old v1.0.0.2. DELETE OLD EXE and DLLs before you copy the new files over.To update from v1.0.0.1:Extract new myManga EXE and DLLs from Zip to folder of choosing. Copy MangaInfo and MangaArchives folder from old myManga folder to new folder from step 1. ORDelete: The new myManga.exe contains the CoreMangaClasses.dll and Manga.dll internally. Delet...????: ????2.0.1: 1、?????。WiX Toolset: WiX v3.6 RC: WiX v3.6 RC (3.6.2928.0) provides feature complete Burn with VS11 support. For more information see Rob's blog post about the release: http://robmensching.com/blog/posts/2012/5/28/WiX-v3.6-Release-Candidate-availableJavascript .NET: Javascript .NET v0.7: SetParameter() reverts to its old behaviour of allowing JavaScript code to add new properties to wrapped C# objects. The behavior added briefly in 0.6 (throws an exception) can be had via the new SetParameterOptions.RejectUnknownProperties. TerminateExecution now uses its isolate to terminate the correct context automatically. Added support for converting all C# integral types, decimal and enums to JavaScript numbers. (Previously only the common types were handled properly.) Bug fixe...Indent Guides for Visual Studio: Indent Guides v12: Version History Changed in v12: background document analysis new options dialog with Quick Set selections for behavior new "glow" style for guides new menu icon in VS 11 preview control now uses editor theming highlighting can be customised on each line fixed issues with collapsed code blocks improved behaviour around left-aligned pragma/preprocessor commands (C#/C++) new settings for controlling guides in empty lines restructured settings storage (should be more reliable) ...callisto: callisto 2.0.29: Added DNS functionality to scripting. See documentation section for details of how to incorporate this into your scripts.ZXMAK2: Version 2.6.2.2: - implemented read port #7FFD glitch for ULA128 (fusetest) - fix unhandled exception inside open dialog - fix Z80 format serializer (support 55 bytes header & non compressed 128 blocks - thanks to Ralf) This release include SPRINTER emulation, but boot system disk image was removed.Phalanger - The PHP Language Compiler for the .NET Framework: 3.0 (May 2012): Fixes: unserialize() of negative float numbers fix pcre possesive quantifiers and character class containing ()[] array deserilization when the array contains a reference to ISerializable parsing lambda function fix round() reimplemented as it is in PHP to avoid .NET rounding errors filesize bypass for FileInfo.Length bug in Mono New features: Time zones reimplemented, uses Windows/Linux databaseSharePoint Euro 2012 - UEFA European Football Predictor: havivi.euro2012.wsp (1.1): New fetures:Admin enable / disable match Hide/Show Euro 2012 SharePoint lists (3 lists) Installing SharePoint Euro 2012 PredictorSharePoint Euro 2012 Predictor has been developed as a SharePoint Sandbox solution to support SharePoint Online (Office 365) Download the solution havivi.euro2012.wsp from the download page: Downloads Upload this solution to your Site Collection via the solutions area. Click on Activate to make the web parts in the solution available for use in the Site C...ScreenShot: InstallScreenShot: This is the current stable release.????SDK for .Net 4.0+(OAuth2.0+??V2?API): ??V2?SDK???: ????SDK for .Net 4.X???????PHP?SDK???OAuth??API???Client???。 ??????API?? ???????OAuth2.0???? ???:????????,DEMO??AppKey????????????????,?????AppKey,????AppKey???????????,?????“????>????>????>??????”.Net Code Samples: Code Samples: Code samples (SLNs).LINQ_Koans: LinqKoans v.02: Cleaned up a bitExpression Tree Visualizer for VS 2010: Expression Tree Visualizer Beta: This is a beta release, in this release some expression types are not handled and use a default visualization behavior. The first release will be published soon. Wait for it...Ulfi: Ulfi source: Build with Visual Studio 2010 Express C# or betterJayData - The cross-platform HTML5 data-management library for JavaScript: JayData 1.0 RC1 Refresh 2: JayData is a unified data access library for JavaScript developers to query and update data from different sources like webSQL, indexedDB, OData, Facebook or YQL. See it in action in this 6 minutes video: http://www.youtube.com/watch?v=LlJHgj1y0CU RC1 R2 Release highlights Knockout.js integrationUsing the Knockout.js module, your UI can be automatically refreshed when the data model changes, so you can develop the front-end of your data manager app even faster. Querying 1:N relations in W...Christoc's DotNetNuke Module Development Template: 00.00.08 for DNN6: BEFORE USE YOU need to install the MSBuild Community Tasks available from http://msbuildtasks.tigris.org For best results you should configure your development environment as described in this blog post Then read this latest blog post about customizing and using these custom templates. Installation is simple To use this template place the ZIP (not extracted) file in your My Documents\Visual Studio 2010\Templates\ProjectTemplates\Visual C#\Web OR for VB My Documents\Visual Studio 2010\Te...Microsoft Ajax Minifier: Microsoft Ajax Minifier 4.53: fix issue #18106, where member operators on numeric literals caused the member part to be duplicated when not minifying numeric literals ADD NEW FEATURE: ability to create source map files! The first mapfile format to be supported is the Script# format. Use the new -map filename switch to create map files when building your sources.New ProjectsActive Log Reader: The active log reader provides the ability for a client to subscribe to specific changes in a set of files in a directory. For example, it allows you to actively monitor all .log files in your C:\Windows directory (and sub-directories) and callback whenever the word "ERROR" shows up (or any regular expression you can come up with). The accompanying test project outlines example usage.ADO.NET light wrapper: ADO.NET light wrapper is thin IEnumerable layer about ADO.NET for provide easy way to access data with strong typing support. Allen Neighborhood Center: Allen Neighborhood Center data interactionsCildads: The first attempt at centryCMT: Course Management Tool ProjectCode Builder: this is the Builder project.Connect: this is the Connect project.Craig's Framework: A basic framework that is used to speed up building MVC applications and make certain things simpler.CRM 2011 Fetch XML Execute Tool: This is a dev tool used to execute fetch xml to get the results from the connected CRM 2011 instanceDallasDB: A struct based database. DallasDB will have no full functionality until at least version 0.0.1, and won't be ready for professional use until version 1.0.0. EasyMvc: It provides a trainning sample to develop a web application base on MVC3 EF4.0 SQL Compact 4. Besides, a common business permission, logging, configration have been applied simply. Share with some implement idea about web, mvc, jquery,orm. Appreciate your advice.Entity: this is the Entity project.FogLampz: FogLampz is a .NET wrapper around around the FogBugz API.Geeba: Geeba Forum for Students in BGU UniversityHibernate: this is the Hibernate project.JSense - IntelliSense for JavaScript: JSense provides JavaScript IntelliSense meta-automation for Visual Studio 2010 projectsMichael: this is Michael's project.ModAdder: Minecraft Mod InstallerMVVM ORM: The purpose of MVVM ORM is to create models and their interactions as defined in some database for WPF applications Models are derived from tables, views and stored procedures. Interactions include insert/update/delete, with FK relationships taken into account. nihao: The summary is required.Report: this is the Report project.REST Start Kit for BizTalk: This project enables BizTalk Server to expose RESTFul services through the WCF-Custom adapter. The library supports both receive and send, both XML and JSON with all HTTP verbs (GET, POST, PUT and DELETE). The solution is based on two custom WCF behaviors, one to be used on Receive Locations and one on Send Ports. Hopeully you'll find them easy to use, but if you have any issues, please use the discussions forum.RovignetaWinPhone7: bla bla blaScreenShot: A simple utility that enhances the experience of taking screenshots and annotating them. And all of it happens with the screenshot key that you are most used to. PrintScreen. Give it a try. You will forget the traditional tedious screenshot mechanism.SDM Exam 2012: This is an exam project for 4th semester.Struts: this is the Struts project.TheStoreDepot: depot for the StoreTibiaBot: TibiaBot is an open source application dedicated to extend your gaming experience in MMORPG game called Tibia. Besides of very many built-in functions, TibiaBot has implemented IronRuby script engine, which allows You to creating new functionality to base program.TopicInterDisciplinary: Topic inter-disciplinary owner: sherry, chen1984yangWebAppMatrix: ??WebApp??,?????!

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