What is the best practice to convert/compile a Julia program to native executable file that one can run directly in their OS?
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I've created a program that runs in R that I plan on distributing among a lot of other people. Currently the R script is ran completely automatically and behind the scenes with one .sh script which is exactly how it is intended to be. I'm trying to make it so theres no need for client intervention. The R script itself loads the packages and installs them if they aren't present which takes away the task of them installing the packages themselves.
Is there a way I can provide a folder within my Application's folder that they already download that contains R-script and its dependencies so the code can use that location of Rscript to compile and run the R-program I have created. The goal is to be able to download it and run without the need of internet connection to download R and maybe even the programs required packages if possible.
Any help or ideas is appreciated.
I assume that process you want called "creating binary package". Binary is programs (like EXE files) which can run directly on target CPU without any interpreter software (like Python interpreter for python scripts, or Java VM for java applications). I'm not so familiar with packaging of R programs but I found some materials regarding this issue:
1 - Building binary package R
2 - https://seandavi.github.io/post/build-linux-r-binary-packages/
3 - https://support.rstudio.com/hc/en-us/articles/200486508-Building-Testing-and-Distributing-Packages
Second link assumes Linux as target system. Opposite to interpreted languages, binary files often OS dependent (Linux, Windows, or Mac). I, personally, don't know how compatible are packages between Linux systems with different library sets.
Please comment if you find some information misleading, I'll correct the answer.
I came from R and I am trying to use scala to explore the possibilities to do data science. I don't have any background in programming or computer science, my background is pretty much statistical. So far I am only using scala from the REPL, which I like because it reminds my of the R console.
I am encountering problems when I am trying to import new libraries. In R, within the R console, I would just type
library(tidyverse)
In scala I am trying to do something similar, however it doesn't really work. Here what I see:
Welcome to Scala 2.12.6 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_172).
Type in expressions for evaluation. Or try :help.
scala> import org.apache.spark.mllib.linalg.vectors
<console>:11: error: object apache is not a member of package org
import org.apache.spark.mllib.linalg.vectors
^
What am I doing wrong?
Thanks
Apache Spark is not a simple package that you can import from the standard Scala library, but rather somewhat of an ecosystem on its own, consisting of JARs with Java/Scala API's, cluster managers, distributed file systems, various launcher scripts and interactive shells (for Scala, but e.g. also for Python).
It's not a single interactive script that you run on your computer. It's rather a complex conglomerate of cooperating programs running on a cluster.
You have several options:
Use SBT: declare spark as a dependency in build.sbt, run it in standalone-mode from the SBT console or as properly built project, with run
Essentially same as 1., but use Ammonite with $ivy imports for managing dependencies.
Just go to the Spark website and follow installation instructions there. Among many other things, it should sooner or later give you a script that starts an interactive Scala REPL with all the dependencies that are needed to run Spark jobs.
I'd suggest to go right to step 3. and download Spark from here.
we have a old AIX server and it has an executable file and we want to rewrite the same logic of the executable file on linux server, so we are trying to read it but could not find a way to do that.could you please let us know if there is a way to decipher this file
$ file execfile
execfile: executable (RISC System/6000) or object module
The IBM RS/6000 has a POWER architecture CPU, possibly a PowerPC 603 or PowerPC 604, or possibly one of the newer models like POWER1, POWER2, POWER3, etc. The most recent (current) systems use POWER7 or POWER8.
Anyway, if the system has the compiler and toolchain installed on it then there should be a decent symbolic debugger included, and you should be able to use that to disassemble any executable. Depending on exactly which version of the OS it was compiled on, and which compiler was used, you might even be able to use PowerPC tools on some other OS, such as MacOS, or even potentially a cross-compiler toolchain on any type of system, to disassemble the program. For example GDB built for PowerPC may be able to disassemble the program.
However if the executable has been stripped of symbols (as was typically the case on AIX systems, IIRC), and especially if it had been run through the most powerful optimizing stage of the compiler, then you'll be pretty much lost and what you are trying to do will be impractical and require many man hours to decipher -- indeed many thousands of man hours for any significantly sized program, even if you're able to hire someone to help who is familiar with the code generation patterns of the particular compiler which was used.
You might be better off trying to hire an archeologist to help you dig through the specific landfill where you might hope to find listings or backup tapes or CDs or disks containing the original source code, or specification documents, etc., for this program. Seriously.
Or try to find and (re-)hire the original author(s).
I've developed a .R script that works with a DB, does a bunch of processing and outputs graphs and tables. I can output that data as comma-separated values and pictures, to later import them on my software, that I have no issue.
The problem is how can I distribute my application without having to make a complete install of R on the client. I've seen things like RJava, but my app is on VB6 (yeah...) and I don't see any libraries, or ways to compile to exe. The compile package only makes compiled versions of any function you define, like what psyco used to do for Python (before Pypy).
Does anyone have some insight on compiling R to avoid having the user to install an entire additional software?
EDIT: Does an R compiler exist? This question relates deeply to mine, but I haven't seen how it can be used to make a full script an exe. You can just compile a main function and cat it to a file? Is that even possible?
The short answer is "no, that will not work".
There simply is no compiler that allows you to shrink-wrap your app. So your best best may be either
using the headless Rserve over the network, or
using the R (D)COM server used by RExcel et al
On windows applications are typically packaged as MSI, on Redhat Linux as RPM, what would be a best open source packaging method that could be used to deploy applications to all platforms including different flavors of unix and windows?
Contents would include exes, unix binaries, java jar files, user data, even database scripts to be run.
(I recognize contents would vary per destination OS, ie. binaries would be different, win exe vs unix binary etc, but for example config files may be the same or in the case of java even the bytecode jars)
Key feature I'd like the packaging to support is different users and permissions for different directories, however I recognize supporting this feature multiplatform may be very difficult.
Rather than build a package that is supposed to work across all of your platforms, which is likely impossible, you should have your build system build different packages for each target platform.
With CPack (It come with CMake) you can create packages for Windows (with NSIS), Linux (rpm and deb), and OS X with "make package". CMake also simplify cross-platform building.
For a sample you can look at avogadro's CMakeLists.txt and AvoCPack.cmake
I have a client that uses IzPack to create a single installer (it's Java-based) that installs their app on Windows, OS X and Linux.
http://izpack.org/
NSIS is an open-source solution which, as far as I know is able to build installers that run on Windows and UNIX-likes alike. However, for software deployment on Windows (especially in corporate environments) MSI is the way to go and NSIS is more of a headache.
So I wouldn't advise that you try to build a single package/installer for different platforms. But rather, as RibaldEddie indicated, multiple packages: one for each platform. That also allows to restrict the contents of the package to the files relevant to each platform.
If you'd like to support packaging for multiple distributions, I'd suggest helping the packagers for those distributions out; use some sort of well-known build system for your software (GNU's autotools or something like scons or waf), and document the build, optional dependencies, and so forth pretty well.
That way, when a Debian, Ubuntu, Red Hat, SuSE, whatever, packager comes along, they'll be able to create the package for you. You can optionally include packaging templates for one or more distributions in a separate VCS tree that is available, if you'd like.
If you are looking at packaging a closed-source/proprietary application for multiple systems, you'd probably do best to package up a .tar.gz file and document the installation process for it. You'll also want to make sure that the build process used doesn't embed any path information into the application, so that it can be run in /opt, /usr, or /usr/local, which are some popular choices for third-party add-on software.
BitRock InstallBuilder allows you to create installer packages for each one of the platforms you mentioned (as well as creating RPM, DEB, packages etc. from a single project file)