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Building Julia (Detailed)

Downloading the Julia source code

If you are behind a firewall, you may need to use the https protocol instead of the git protocol:

git config --global url."https://".insteadOf git://

Be sure to also configure your system to use the appropriate proxy settings, e.g. by setting the https_proxy and http_proxy variables.

Building Julia

When compiled the first time, the build will automatically download pre-built external dependencies. If you prefer to build all the dependencies on your own, add the following in Make.user

USE_BINARYBUILDER=0

Building Julia requires 5GiB if building all dependencies and approximately 4GiB of virtual memory.

To perform a parallel build, use make -j N and supply the maximum number of concurrent processes. If the defaults in the build do not work for you, and you need to set specific make parameters, you can save them in Make.user, and place the file in the root of your Julia source. The build will automatically check for the existence of Make.user and use it if it exists.

You can create out-of-tree builds of Julia by specifying make O=<build-directory> configure on the command line. This will create a directory mirror, with all of the necessary Makefiles to build Julia, in the specified directory. These builds will share the source files in Julia and deps/srccache. Each out-of-tree build directory can have its own Make.user file to override the global Make.user file in the top-level folder.

If everything works correctly, you will see a Julia banner and an interactive prompt into which you can enter expressions for evaluation. (Errors related to libraries might be caused by old, incompatible libraries sitting around in your PATH. In this case, try moving the julia directory earlier in the PATH). Note that most of the instructions above apply to unix systems.

To run julia from anywhere you can:

  • add an alias (in bash: echo "alias julia='/path/to/install/folder/bin/julia'" >> ~/.bashrc && source ~/.bashrc), or

  • add a soft link to the julia executable in the julia directory to /usr/local/bin (or any suitable directory already in your path), or

  • add the julia directory to your executable path for this shell session (in bash: export PATH="$(pwd):$PATH" ; in csh or tcsh: set path= ( $path $cwd ) ), or

  • add the julia directory to your executable path permanently (e.g. in .bash_profile), or

  • write prefix=/path/to/install/folder into Make.user and then run make install. If there is a version of Julia already installed in this folder, you should delete it before running make install.

Now you should be able to run Julia like this:

julia

If you are building a Julia package for distribution on Linux, macOS, or Windows, take a look at the detailed notes in distributing.md.

Updating an existing source tree

If you have previously downloaded julia using git clone, you can update the existing source tree using git pull rather than starting anew:

cd julia
git pull && make

Assuming that you had made no changes to the source tree that will conflict with upstream updates, these commands will trigger a build to update to the latest version.

General troubleshooting

  1. Over time, the base library may accumulate enough changes such that the bootstrapping process in building the system image will fail. If this happens, the build may fail with an error like

     *** This error is usually fixed by running 'make clean'. If the error persists, try 'make cleanall' ***

    As described, running make clean && make is usually sufficient. Occasionally, the stronger cleanup done by make cleanall is needed.

  2. New versions of external dependencies may be introduced which may occasionally cause conflicts with existing builds of older versions.

    a. Special make targets exist to help wipe the existing build of a dependency. For example, make -C deps clean-llvm will clean out the existing build of llvm so that llvm will be rebuilt from the downloaded source distribution the next time make is called. make -C deps distclean-llvm is a stronger wipe which will also delete the downloaded source distribution, ensuring that a fresh copy of the source distribution will be downloaded and that any new patches will be applied the next time make is called.

    b. To delete existing binaries of julia and all its dependencies, delete the ./usr directory in the source tree.

  3. If you've updated macOS recently, be sure to run xcode-select --install to update the command line tools. Otherwise, you could run into errors for missing headers and libraries, such as ld: library not found for -lcrt1.10.6.o.

  4. If you've moved the source directory, you might get errors such as CMake Error: The current CMakeCache.txt directory ... is different than the directory ... where CMakeCache.txt was created., in which case you may delete the offending dependency under deps

  5. In extreme cases, you may wish to reset the source tree to a pristine state. The following git commands may be helpful:

     git reset --hard #Forcibly remove any changes to any files under version control
 git clean -x -f -d #Forcibly remove any file or directory not under version control

    To avoid losing work, make sure you know what these commands do before you run them. git will not be able to undo these changes!

Platform-Specific Notes

Notes for various operating systems:

Notes for various architectures:

Required Build Tools and External Libraries

Building Julia requires that the following software be installed:

  • GNU make — building dependencies.
  • gcc & g++ (>= 4.7) or Clang (>= 3.1, Xcode 4.3.3 on macOS) — compiling and linking C, C++.
  • libatomic — provided by gcc and needed to support atomic operations.
  • python (>=2.7) — needed to build LLVM.
  • gfortran — compiling and linking Fortran libraries.
  • perl — preprocessing of header files of libraries.
  • wget, curl, or fetch (FreeBSD) — to automatically download external libraries.
  • m4 — needed to build GMP.
  • awk — helper tool for Makefiles.
  • patch — for modifying source code.
  • cmake (>= 3.4.3) — needed to build libgit2.
  • pkg-config — needed to build libgit2 correctly, especially for proxy support.

On Debian-based distributions (e.g. Ubuntu), you can easily install them with apt-get:

sudo apt-get install build-essential libatomic1 python gfortran perl wget m4 cmake pkg-config

Julia uses the following external libraries, which are automatically downloaded (or in a few cases, included in the Julia source repository) and then compiled from source the first time you run make:

  • LLVM (9.0 + patches) — compiler infrastructure (see note below).
  • FemtoLisp — packaged with Julia source, and used to implement the compiler front-end.
  • libuv (custom fork) — portable, high-performance event-based I/O library.
  • OpenLibm — portable libm library containing elementary math functions.
  • DSFMT — fast Mersenne Twister pseudorandom number generator library.
  • OpenBLAS — fast, open, and maintained basic linear algebra subprograms (BLAS) library, based on Kazushige Goto's famous GotoBLAS (see note below).
  • LAPACK (>= 3.5) — library of linear algebra routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems.
  • MKL (optional) – OpenBLAS and LAPACK may be replaced by Intel's MKL library.
  • SuiteSparse (>= 4.1) — library of linear algebra routines for sparse matrices.
  • PCRE (>= 10.00) — Perl-compatible regular expressions library.
  • GMP (>= 5.0) — GNU multiple precision arithmetic library, needed for BigInt support.
  • MPFR (>= 4.0) — GNU multiple precision floating point library, needed for arbitrary precision floating point (BigFloat) support.
  • libgit2 (>= 0.23) — Git linkable library, used by Julia's package manager.
  • curl (>= 7.50) — libcurl provides download and proxy support for Julia's package manager.
  • libssh2 (>= 1.7) — library for SSH transport, used by libgit2 for packages with SSH remotes.
  • mbedtls (>= 2.2) — library used for cryptography and transport layer security, used by libssh2
  • utf8proc (>= 2.1) — a library for processing UTF-8 encoded Unicode strings.
  • libosxunwind — fork of libunwind, a library that determines the call-chain of a program.

Build dependencies

If you already have one or more of these packages installed on your system, you can prevent Julia from compiling duplicates of these libraries by passing USE_SYSTEM_...=1 to make or adding the line to Make.user. The complete list of possible flags can be found in Make.inc.

Please be aware that this procedure is not officially supported, as it introduces additional variability into the installation and versioning of the dependencies, and is recommended only for system package maintainers. Unexpected compile errors may result, as the build system will do no further checking to ensure the proper packages are installed.

LLVM

The most complicated dependency is LLVM, for which we require additional patches from upstream (LLVM is not backward compatible).

For packaging Julia with LLVM, we recommend either:

  • bundling a Julia-only LLVM library inside the Julia package, or
  • adding the patches to the LLVM package of the distribution.
    • A complete list of patches is available in deps/llvm.mk, and the patches themselves are in deps/patches/.
    • The only Julia-specific patch is the lib renaming (llvm-symver-jlprefix.patch), which should not be applied to a system LLVM.
    • The remaining patches are all upstream bug fixes, and have been contributed into upstream LLVM.

Using an unpatched or different version of LLVM will result in errors and/or poor performance. Though Julia can be built with newer LLVM versions, support for this should be regarded as experimental and not suitable for packaging.

libuv

Julia uses a custom fork of libuv. It is a small dependency, and can be safely bundled in the same package as Julia, and will not conflict with the system library. Julia builds should not try to use the system libuv.

BLAS and LAPACK

As a high-performance numerical language, Julia should be linked to a multi-threaded BLAS and LAPACK, such as OpenBLAS or ATLAS, which will provide much better performance than the reference libblas implementations which may be default on some systems.

Intel MKL

For a 64-bit architecture, the environment should be set up as follows:

# bash
source /path/to/intel/bin/compilervars.sh intel64

Add the following to the Make.user file:

USE_INTEL_MKL = 1

It is highly recommended to start with a fresh clone of the Julia repository.

If you are building Julia for the sole purpose of incorporating Intel MKL, it may be beneficial to first try MKL.jl. This package will automatically download MKL and rebuild Julia's system image against it, sidestepping the need to set up a working build environment just to add MKL functionality.

Source distributions of releases

Each pre-release and release of Julia has a "full" source distribution and a "light" source distribution.

The full source distribution contains the source code for Julia and all dependencies so that it can be built from source without an internet connection. The light source distribution does not include the source code of dependencies.

For example, julia-1.0.0.tar.gz is the light source distribution for the v1.0.0 release of Julia, while julia-1.0.0-full.tar.gz is the full source distribution.