Building Julia (Detailed) · The Julia Language

# 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, or are building on a system that cannot access the network during the build process, 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:

- Linux
- macOS
- Windows
- FreeBSD

Notes for various architectures:

- ARM

## Required Build Tools and External Libraries

Building Julia requires that the following software be installed:

- [GNU make] — building dependencies.
- [gcc & g++][gcc] (>= 5.1) or [Clang][clang] (>= 3.5, >= 6.0 for Apple Clang) — compiling and linking C, C++.
- [libatomic][gcc] — 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.
- [powershell] (>= 3.0) — necessary only on Windows.
- [which] — needed for checking build dependencies.

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 curl

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`. The specific version numbers of these libraries that Julia uses are listed in `deps/$(libname).version`:

- [LLVM] (14.0 + 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)]
- [LAPACK] — 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] — library of linear algebra routines for sparse matrices.
- [PCRE] — Perl-compatible regular expressions library.
- [GMP] — GNU multiple precision arithmetic library, needed for `BigInt` support.
- [MPFR] — GNU multiple precision floating point library, needed for arbitrary precision floating point (`BigFloat`) support.
- [libgit2] — Git linkable library, used by Julia's package manager.
- [curl] — libcurl provides download and proxy support.
- [libssh2] — library for SSH transport, used by libgit2 for packages with SSH remotes.
- [mbedtls] — library used for cryptography and transport layer security, used by libssh2
- [utf8proc] — a library for processing UTF-8 encoded Unicode strings.
- [LLVM libunwind] — LLVM's fork of [libunwind], a library that determines the call-chain of a program.
- [ITTAPI] — Intel's Instrumentation and Tracing Technology and Just-In-Time API.

[GNU make]: https://www.gnu.org/software/make [patch]: https://www.gnu.org/software/patch [wget]: https://www.gnu.org/software/wget [m4]: https://www.gnu.org/software/m4 [awk]: https://www.gnu.org/software/gawk [gcc]: https://gcc.gnu.org [clang]: https://clang.llvm.org [python]: https://www.python.org/ [gfortran]: https://gcc.gnu.org/fortran/ [curl]: https://curl.haxx.se [fetch]: https://www.freebsd.org/cgi/man.cgi?fetch(1) [perl]: https://www.perl.org [cmake]: https://www.cmake.org [OpenLibm]: https://github.com/JuliaLang/openlibm [DSFMT]: https://github.com/MersenneTwister-Lab/dSFMT [OpenBLAS]: https://github.com/xianyi/OpenBLAS [LAPACK]: https://www.netlib.org/lapack [MKL]: https://software.intel.com/en-us/articles/intel-mkl [SuiteSparse]: https://people.engr.tamu.edu/davis/suitesparse.html [PCRE]: https://www.pcre.org [LLVM]: https://www.llvm.org [LLVM libunwind]: https://github.com/llvm/llvm-project/tree/main/libunwind [FemtoLisp]: https://github.com/JeffBezanson/femtolisp [GMP]: https://gmplib.org [MPFR]: https://www.mpfr.org [libuv]: https://github.com/JuliaLang/libuv [libgit2]: https://libgit2.org/ [utf8proc]: https://julialang.org/utf8proc/ [libunwind]: https://www.nongnu.org/libunwind [libssh2]: https://www.libssh2.org [mbedtls]: https://tls.mbed.org/ [pkg-config]: https://www.freedesktop.org/wiki/Software/pkg-config/ [powershell]: https://docs.microsoft.com/en-us/powershell/scripting/wmf/overview [which]: https://carlowood.github.io/which/ [ITTAPI]: https://github.com/intel/ittapi

## 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.

## 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.

## Building Julia from source with a Git checkout of a stdlib

If you need to build Julia from source with a Git checkout of a stdlib, then use `make DEPS_GIT=NAME_OF_STDLIB` when building Julia.

For example, if you need to build Julia from source with a Git checkout of Pkg, then use `make DEPS_GIT=Pkg` when building Julia. The `Pkg` repo is in `stdlib/Pkg`, and created initially with a detached `HEAD`. If you're doing this from a pre-existing Julia repository, you may need to `make clean` beforehand.

If you need to build Julia from source with Git checkouts of more than one stdlib, then `DEPS_GIT` should be a space-separated list of the stdlib names. For example, if you need to build Julia from source with a Git checkout of Pkg, Tar, and Downloads, then use `make DEPS_GIT='Pkg Tar Downloads'` when building Julia.

## Building an "assert build" of Julia

An "assert build" of Julia is a build that was built with both `FORCE_ASSERTIONS=1` and `LLVM_ASSERTIONS=1`. To build an assert build, define both of the following variables in your `Make.user` file:

    FORCE_ASSERTIONS=1
    LLVM_ASSERTIONS=1

Please note that assert builds of Julia will be slower than regular (non-assert) builds.

## Building 32-bit Julia on a 64-bit machine

Occasionally, bugs specific to 32-bit architectures may arise, and when this happens it is useful to be able to debug the problem on your local machine. Since most modern 64-bit systems support running programs built for 32-bit ones, if you don't have to recompile Julia from source (e.g. you mainly need to inspect the behavior of a 32-bit Julia without having to touch the C code), you can likely use a 32-bit build of Julia for your system that you can obtain from the official downloads page. However, if you do need to recompile Julia from source one option is to use a Docker container of a 32-bit system. At least for now, building a 32-bit version of Julia is relatively straightforward using ubuntu 32-bit docker images. In brief, after setting up `docker` here are the required steps:

    $ docker pull i386/ubuntu
    $ docker run --platform i386 -i -t i386/ubuntu /bin/bash

At this point you should be in a 32-bit machine console (note that `uname` reports the host architecture, so will still say 64-bit, but this will not affect the Julia build). You can add packages and compile code; when you `exit`, all the changes will be lost, so be sure to finish your analysis in a single session or set up a copy/pastable script you can use to set up your environment.

From this point, you should

    # apt update

(Note that `sudo` isn't installed, but neither is it necessary since you are running as `root`, so you can omit `sudo` from all commands.)

Then add all the build dependencies, a console-based editor of your choice, `git`, and anything else you'll need (e.g., `gdb`, `rr`, etc). Pick a directory to work in and `git clone` Julia, check out the branch you wish to debug, and build Julia as usual.

## Update the version number of a dependency

There are two types of builds

1. Build everything (`deps/` and `src/`) from source code. (Add `USE_BINARYBUILDER=0` to `Make.user`, see Building Julia)
2. Build from source (`src/`) with pre-compiled dependencies (default)

When you want to update the version number of a dependency in `deps/`, you may want to use the following checklist:

    ### Check list

    Version numbers:
    - [ ] `deps/$(libname).version`: `LIBNAME_VER`, `LIBNAME_BRANCH`, `LIBNAME_SHA1` and `LIBNAME_JLL_VER`
    - [ ] `stdlib/$(LIBNAME_JLL_NAME)_jll/Project.toml`: `version`

    Checksum:
    - [ ] `deps/checksums/$(libname)`
    - [ ] `deps/checksums/$(LIBNAME_JLL_NAME)-*/`: `md5` and `sha512`

    Patches:
    - [ ] `deps/$(libname).mk`
    - [ ] `deps/patches/$(libname)-*.patch`

Note:

- For specific dependencies, some items in the checklist may not exist.
- For checksum file, it may be a single file without a suffix, or a folder containing two files.

### Example: `OpenLibm`

1. Update Version numbers in `deps/openlibm.version`
   - `OPENLIBM_VER := 0.X.Y`
   - `OPENLIBM_BRANCH = v0.X.Y`
   - `OPENLIBM_SHA1 = new-sha1-hash`
2. Update Version number in `stdlib/OpenLibm_jll/Project.toml`
   - `version = "0.X.Y+0"`
3. Update checksums in `deps/checksums/openlibm`
   - `make -f contrib/refresh_checksums.mk openlibm`
4. Check if the patch files `deps/patches/openlibm-*.patch` exist
   - if patches don't exist, skip.
   - if patches exist, check if they have been merged into the new version and need to be removed. When deleting a patch, remember to modify the corresponding Makefile file (`deps/openlibm.mk`).

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This document was generated with Documenter.jl version 0.27.23 on Tuesday 14 November 2023. Using Julia version 1.9.4.