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  • Interview

    Duncan Mills, senior director of product management at Oracle, talks about the recent release of Oracle Enterprise Pack for Eclipse 11g.

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  • Interview

    OTN's Justin Kestelyn talks with Richard Sarwal and Leng Leng Tan of Oracle product development about Oracle Enterprise Manager 10g Release 5.

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  • confusion about transactions and msdtc

    - by muhan
    I have some basic confusion about how transactions and msdtc work together. I have a basic server/client winforms app. The app uses transactionscope to encapsulate several sql commands that are executed on the sql server. The app seemed to work fine when I enabled msdtc network access on the server only. Then one day it stopped working saying network access was not enabled. Now it seems that I have to enable msdtc network access on both the client computer and server for transactionscope to work. Does the client or server msdtc service do the transaction work? Or maybe its both? Does anyone have guidance on whether msdtc network access is needed on both client and server or just server?

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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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  • Is there anything like Unity for simple things that don't require an interface?

    - by Dave
    Perhaps I'm misapplying Unity, but here goes. I have a couple of applications, both of which load the same plugin assemblies. All assemblies require a library, and I want them to be able to access this library via Unity. However, in order to use Unity, or any other IoC framework, I'd have to write an interface for this library. I will probably do this, but since an interface isn't really needed for anything other than to support Unity, I am afraid that this means that I am 1) missing the point, or 2) misapplying the framework. If I avoid something that offers me DI, then I'd have to make the library class a singleton, and then pass it to all of the plugin constructors, or via a public property, and I don't want to do this. That said, and without actually implementing anything with Unity yet, I'm not getting one other detail -- although Unity will let me request the library via Resolve<, my plugins will still need to have a reference to the Unity instance that is created in the main applications. So is this a case where your only option is to pass the Unity reference to all of the plugins, but then it's convenient from that point on, merely because you can use Unity to get at all of the other dependencies?

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  • Why do I get "file is not of required architecture" when I try to build my app on an iphone?

    - by Dale
    My app seemingly runs fine in the simulator but the first time I hooked a phone up to my system and had it build for it I got a huge error log with things like: Build SCCUI of project SCCUI with configuration Debug CompileXIB HandleAlert.xib cd /Users/gdbriggs/Desktop/SCCUI setenv IBC_MINIMUM_COMPATIBILITY_VERSION 3.1 setenv PATH "/Developer/Platforms/iPhoneOS.platform/Developer/usr/bin:/Developer/usr /bin:/usr/bin:/bin:/usr/sbin:/sbin" /Developer/usr/bin/ibtool --errors --warnings --notices --output-format human-readable-text --compile /Users/gdbriggs/Desktop/SCCUI/build/Debug-iphoneos/SCCUI.app/HandleAlert.nib /Users/gdbriggs/Desktop/SCCUI/HandleAlert.xib /* com.apple.ibtool.document.warnings */ /Users/gdbriggs/Desktop/SCCUI/HandleAlert.xib:13: warning: UITextView does not support data detectors when the text view is editable. Ld build/Debug-iphoneos/SCCUI.app/SCCUI normal armv6 cd /Users/gdbriggs/Desktop/SCCUI setenv IPHONEOS_DEPLOYMENT_TARGET 3.1 setenv MACOSX_DEPLOYMENT_TARGET 10.5 setenv PATH "/Developer/Platforms/iPhoneOS.platform/Developer/usr/bin:/Developer/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin" /Developer/Platforms/iPhoneOS.platform/Developer/usr/bin/gcc-4.2 -arch armv6 -isysroot /Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS3.1.sdk -L/Users/gdbriggs/Desktop/SCCUI/build/Debug-iphoneos -F/Users/gdbriggs/Desktop/SCCUI/build/Debug-iphoneos -F/Developer/Platforms/iPhoneSimulator.platform/Developer/SDKs/iPhoneSimulator3.1.sdk/System/Library/Frameworks -filelist /Users/gdbriggs/Desktop/SCCUI/build/SCCUI.build/Debug-iphoneos/SCCUI.build/Objects-normal/armv6/SCCUI.LinkFileList -mmacosx-version-min=10.5 -dead_strip -miphoneos-version-min=3.1 -framework Foundation -framework UIKit -framework CoreGraphics -framework MessageUI -o /Users/gdbriggs/Desktop/SCCUI/build/Debug-iphoneos/SCCUI.app/SCCUI ld: warning: in /Developer/Platforms/iPhoneSimulator.platform/Developer/SDKs/iPhoneSimulator3.1.sdk/System/Library/Frameworks/Foundation.framework/Foundation, file is not of required architecture ld: warning: in /Developer/Platforms/iPhoneSimulator.platform/Developer/SDKs/iPhoneSimulator3.1.sdk/System/Library/Frameworks/UIKit.framework/UIKit, file is not of required architecture ld: warning: in /Developer/Platforms/iPhoneSimulator.platform/Developer/SDKs/iPhoneSimulator3.1.sdk/System/Library/Frameworks/CoreGraphics.framework/CoreGraphics, file is not of required architecture ld: warning: in /Developer/Platforms/iPhoneSimulator.platform/Developer/SDKs/iPhoneSimulator3.1.sdk/System/Library/Frameworks/MessageUI.framework/MessageUI, file is not of required architecture Undefined symbols: "_OBJC_CLASS_$_UIDevice", referenced from: __objc_classrefs__DATA@0 in SCAuthenticationHandler.o "_OBJC_CLASS_$_NSString", referenced from: __objc_classrefs__DATA@0 in CCProxy.o __objc_classrefs__DATA@0 in AlertSummaryViewController.o __objc_classrefs__DATA@0 in HomeLevelController.o __objc_classrefs__DATA@0 in SCAuthenticationHandler.o __objc_classrefs__DATA@0 in SCRequestHandler.o "_UIApplicationMain", referenced from: _main in main.o "_objc_msgSend", referenced from: _main in main.o _main in main.o _main in main.o -[SCCUIAppDelegate applicationDidFinishLaunching:] in and it just keeps going. At / near the bottom it says: ld: symbol(s) not found collect2: ld returned 1 exit status What am I doing wrong?

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  • Enable File sharing in Windows Vista

    - by LiveEn
    There seems to be a problem in my Windows Vista.. In the network and sharing centre only the network discovery is visible. I cant find a option for file sharing as mentions in other websites. There is no folder sharing option on any folder. Can someone please tell me how to enable file sharing in my Windows Visa? i cant share any of my file in the network.

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  • Portability of pthreads-win32 over various compilers.

    - by Artyom
    Hello, I'm using pthreads-win32 for portable threading support for windows. At least, according to the documentation pthreads-win32 should work with MSVC and even MSVC builds provided. But I don't know if the library is tested with latest MSVC compilers like MSVC-2008 and if it is supported under 64bit windows. Does anybody aware of any issues with this library? Note: Do not even try to recommend using Boost.Thread, I'm not interested in. And I'm familiar with Boost.Thread library

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  • Referencing Entity from external data model - Core Data

    - by Ben Reeves
    I have a external library which includes a core data model, I would like to add a new entity to this model which has a relationship with one of the entities from the library. I know I could modify the original, but is there a way to without needing to pollute the library? I tried just creating a new model with an entity named the same, but that doesn't work: * Terminating app due to uncaught exception 'NSInvalidArgumentException', reason: 'Can't merge models with two different entities named 'Host''

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  • Problem running a simple EJB application

    - by Spi1988
    I am currently running a simple EJB application using a stateless Session Bean. I am working on NetBeans 6.8 with Personal Glassfish 3.0 and I have installed on my system both the Java EE and the Java SE. I don't know whether it is relevent but I am running Windows7 64-bit version. The Session Bean I implemented has just one method sayHello(); which just prints hello on the screen. When I try to run the application I'm getting the following error: pre-init: init-private: init-userdir: init-user: init-project: do-init: post-init: init-check: init: deps-jar: deps-j2ee-archive: MyEnterprise-app-client.init: MyEnterprise-ejb.init: MyEnterprise-ejb.deps-jar: MyEnterprise-ejb.compile: MyEnterprise-ejb.library-inclusion-in-manifest: MyEnterprise-ejb.dist-ear: MyEnterprise-app-client.deps-jar: MyEnterprise-app-client.compile: MyEnterprise-app-client.library-inclusion-in-manifest: MyEnterprise-app-client.dist-ear: MyEnterprise-ejb.init: MyEnterprise-ejb.deps-jar: MyEnterprise-ejb.compile: MyEnterprise-ejb.library-inclusion-in-manifest: MyEnterprise-ejb.dist-ear: pre-pre-compile: pre-compile: do-compile: post-compile: compile: pre-dist: post-dist: dist-directory-deploy: pre-run-deploy: Starting Personal GlassFish v3 Domain Personal GlassFish v3 Domain is running. Undeploying ... Initializing... Initial deploying MyEnterprise to C:\Users\Naqsam\Documents\NetBeansProjects\MyEnterprise\dist\gfdeploy\MyEnterprise Completed initial distribution of MyEnterprise post-run-deploy: run-deploy: run-display-browser: run-ac: pre-init: init-private: init-userdir: init-user: init-project: do-init: post-init: init-check: init: deps-jar: deps-j2ee-archive: MyEnterprise-app-client.init: MyEnterprise-ejb.init: MyEnterprise-ejb.deps-jar: MyEnterprise-ejb.compile: MyEnterprise-ejb.library-inclusion-in-manifest: MyEnterprise-ejb.dist-ear: MyEnterprise-app-client.deps-jar: MyEnterprise-app-client.compile: MyEnterprise-app-client.library-inclusion-in-manifest: MyEnterprise-app-client.dist-ear: MyEnterprise-ejb.init: MyEnterprise-ejb.deps-jar: MyEnterprise-ejb.compile: MyEnterprise-ejb.library-inclusion-in-manifest: MyEnterprise-ejb.dist-ear: pre-pre-compile: pre-compile: do-compile: post-compile: compile: pre-dist: post-dist: dist-directory-deploy: pre-run-deploy: Undeploying ... Initial deploying MyEnterprise to C:\Users\Naqsam\Documents\NetBeansProjects\MyEnterprise\dist\gfdeploy\MyEnterprise Completed initial distribution of MyEnterprise post-run-deploy: run-deploy: Warning: Could not find file C:\Users\Naqsam\.netbeans\6.8\GlassFish_v3\generated\xml\MyEnterprise\MyEnterpriseClient.jar to copy. Copying 1 file to C:\Users\Naqsam\Documents\NetBeansProjects\MyEnterprise\dist Copying 4 files to C:\Users\Naqsam\Documents\NetBeansProjects\MyEnterprise\dist\MyEnterpriseClient Copying 1 file to C:\Users\Naqsam\Documents\NetBeansProjects\MyEnterprise\dist\MyEnterpriseClient java.lang.NullPointerException at org.glassfish.appclient.client.acc.ACCLogger$1.run(ACCLogger.java:149) at java.security.AccessController.doPrivileged(Native Method) at org.glassfish.appclient.client.acc.ACCLogger.reviseLogger(ACCLogger.java:146) at org.glassfish.appclient.client.acc.ACCLogger.init(ACCLogger.java:93) at org.glassfish.appclient.client.acc.ACCLogger.<init>(ACCLogger.java:80) at org.glassfish.appclient.client.AppClientFacade.createBuilder(AppClientFacade.java:360) at org.glassfish.appclient.client.AppClientFacade.prepareACC(AppClientFacade.java:247) at org.glassfish.appclient.client.acc.agent.AppClientContainerAgent.premain(AppClientContainerAgent.java:75) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at sun.instrument.InstrumentationImpl.loadClassAndStartAgent(InstrumentationImpl.java:323) at sun.instrument.InstrumentationImpl.loadClassAndCallPremain(InstrumentationImpl.java:338) Java Result: 1 run-MyEnterprise-app-client: run: BUILD SUCCESSFUL (total time: 1 minute 59 seconds) see next post.

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  • Missing AVFoundation.framework

    - by Alex
    Hi, AVFoundation.framework is not where the documentation says it should be. I have iPhone SDK 2.2 installed (never had previous sdk versions installed) and I can't find that folder under /System/Library/Frameworks I did find it under /Developer/Platforms/iPhoneOS.platform/Developer/SDKs/iPhoneOS2.2.sdk/System/Library/Frameworks/ folder but if I add it from that location, then the compiler can't find the header files. I tried copying the entire AVFoundation.framework folder to /System/Library/Framework, but it still can't find the header files. How can I use AVFoundation classes? Thanks, Alex

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  • Visual Studio autoclean?

    - by kubal5003
    Hello, I have a solution with multiple projects - executable, library, and others(unimportant right now). Library contains EF entity classes and executable uses them. When I'm working on some code from the executable then every entity that I use is marked as an error and compiler says that I should check usings and references. Reference in the executable project is set to library project(not the dll itself). When I build the library project then everything gets back to normal, but when I start typing then it happens again. I could live with it, but intelli sense isn't working and that is quite a disadvantage. Any ideas?

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  • Licencing: release the same software with double licence

    - by Luca
    In my free time, I develop (alone, sigh) a project, in particoular an application library. I've released it using GPL v3. At this time, this project has come very useful for a job. I'd like to release my OSS library toghether with the application using the same GPL v3 licence, with the exception that it can be linked for the specific application, or for the specific application vendor. AFAIK, the copyright owner can handle the entire source and licencing it, I did it; and probably the licence owner could cut&paste its own code, change its licence and use for other projects, isn't? But an GPL'ed library cannot be linked with a proprietary software, right? But software could be double-licenced, as MySQL does. So the question is: what should I do to allow the distribution of my GPL'ed library with a proprietary software, being the copyright owner?

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