zhangyiss/spack
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

docs: fix config tutorial (#11715)

Browse Source 
This fixes a few typos, adds a hint to `spack config blame` and brings
the variant specification in line with other docs sections.
This commit is contained in:
Michael Kuhn
2019-06-15 21:34:32 +02:00
committed by Todd Gamblin
parent bccfb622e5
commit f3671244e4
1 changed files with 35 additions and 30 deletions
Download Patch File Download Diff File Expand all files Collapse all files

65
lib/spack/docs/tutorial_configuration.rst
View File

@@ -20,8 +20,8 @@ specify external package installations to use. Finally, we will
briefly touch on the config configuration file, which manages more
high-level Spack configuration options.
For all of these features we will demonstrate how we build up a full
configuration file. For some we will then demonstrate how the
For all of these features, we will demonstrate how we build up a full
configuration file. For some, we will then demonstrate how the
configuration affects the install command, and for others we will use
the ``spack spec`` command to demonstrate how the configuration
changes have affected Spack's concretization algorithm. The provided
@@ -75,6 +75,10 @@ development and another for production preferences.
Settings specified on the command line have precedence over all
other configuration scopes.
You can also use ``spack config blame <config>`` for displaying
the effective configuration. Spack will show from which scopes
the configuration has been assembled.
^^^^^^^^^^^^^^^^^^^^^^^^
Platform-specific Scopes
^^^^^^^^^^^^^^^^^^^^^^^^
@@ -103,15 +107,15 @@ YAML Format
Spack configurations are YAML dictionaries. Every configuration file
begins with a top-level dictionary that tells Spack which
configuration set it modifies. When Spack checks it's configuration,
configuration set it modifies. When Spack checks its configuration,
the configuration scopes are updated as dictionaries in increasing
order of precedence, allowing higher precedence files to override
lower. YAML dictionaries use a colon ":" to specify key-value
pairs. Spack extends YAML syntax slightly to allow a double-colon
"::" to specify a key-value pair. When a double-colon is used to
specify a key-value pair, instead of adding that section Spack
replaces what was in that section with the new value. For example, a
user compilers configuration file as follows:
specify a key-value pair, instead of adding that section, Spack
replaces what was in that section with the new value. For example,
consider a user's compilers configuration file as follows:
.. code-block:: yaml
@@ -131,7 +135,7 @@ user compilers configuration file as follows:
target: x86_64
ensures that no other compilers are used, as the user configuration
This ensures that no other compilers are used, as the user configuration
scope is the last scope searched and the ``compilers::`` line replaces
all previous configuration files information. If the same
configuration file had a single colon instead of the double colon, it
@@ -152,7 +156,7 @@ circumstances we want even more fine-grained control over the
compilers available. This section will teach you how to exercise that
control using the compilers configuration file.
We will start by opening the compilers configuration file
We will start by opening the compilers configuration file:
.. code-block:: console
@@ -242,7 +246,7 @@ to the ``compilers.yaml`` file.
Let's talk about the sections of this compiler entry that we've changed.
The biggest change we've made is to the ``paths`` section. This lists
the paths to the compilers to use for each language/specification.
In this case, we point to the clang compiler for C/C++ and the gfortran
In this case, we point to the Clang compiler for C/C++ and the gfortran
compiler for both specifications of Fortran. We've also changed the
``spec`` entry for this compiler. The ``spec`` entry is effectively the
name of the compiler for Spack. It consists of a name and a version
@@ -266,7 +270,7 @@ This new compiler also works on Fortran codes:
.. code-block:: console
$ spack install --no-cache cfitsio %clang@3.8.0-gfortran -bzip2
$ spack install --no-cache cfitsio~bzip2 %clang@3.8.0-gfortran
...
@@ -282,7 +286,7 @@ the build provenance. As on the command line, the flags are set
through the implicit build variables ``cflags``, ``cxxflags``, ``cppflags``,
``fflags``, ``ldflags``, and ``ldlibs``.
Let's open our compilers configuration file again and add a compiler flag.
Let's open our compilers configuration file again and add a compiler flag:
.. code-block:: yaml
@@ -303,7 +307,7 @@ Let's open our compilers configuration file again and add a compiler flag.
We can test this out using the ``spack spec`` command to show how the
spec is concretized.
spec is concretized:
.. code-block:: console
@@ -348,7 +352,7 @@ the executable automatically, the ``extra_rpaths`` field of the compiler
configuration tells Spack which dependencies to rpath into every
executable created by that compiler. The executables will then be able
to find the link dependencies imposed by the compiler. As an example,
this field can be set by
this field can be set by:
.. code-block:: yaml
@@ -525,11 +529,11 @@ We can check the effect of this command with ``spack spec hdf5`` again.
So far we have only made global changes to the package preferences. As
we've seen throughout this tutorial, hdf5 builds with MPI enabled by
we've seen throughout this tutorial, HDF5 builds with MPI enabled by
default in Spack. If we were working on a project that would routinely
need serial hdf5, that might get annoying quickly, having to type
need serial HDF5, that might get annoying quickly, having to type
``hdf5~mpi`` all the time. Instead, we'll update our preferences for
hdf5.
HDF5.
.. code-block:: yaml
@@ -604,7 +608,7 @@ okay.
You'll notice that Spack is now using the external zlib installation,
but the compiler used to build zlib is now overriding our compiler
preference of clang. If we explicitly specify clang:
preference of clang. If we explicitly specify Clang:
.. code-block:: console
@@ -619,7 +623,7 @@ preference of clang. If we explicitly specify clang:
^zlib@1.2.11%clang@3.8.0-2ubuntu4+optimize+pic~shared arch=linux-ubuntu16.04-x86_64
Spack concretizes to both hdf5 and zlib being built with clang.
Spack concretizes to both HDF5 and zlib being built with Clang.
This has a side-effect of rebuilding zlib. If we want to force
Spack to use the system zlib, we have two choices. We can either
specify it on the command line, or we can tell Spack that it's
@@ -658,7 +662,7 @@ Now Spack will be forced to choose the external zlib.
This gets slightly more complicated with virtual dependencies. Suppose
we don't want to build our own MPI, but we now want a parallel version
of hdf5? Well, fortunately we have mpich installed on these systems.
of HDF5? Well, fortunately we have MPICH installed on these systems.
.. code-block:: yaml
@@ -685,7 +689,7 @@ build with an alternate MPI implementation.
.. code-block:: console
$ spack spec hdf5 %clang +mpi
$ spack spec hdf5+mpi %clang
Input spec
--------------------------------
hdf5%clang+mpi
@@ -713,15 +717,15 @@ build with an alternate MPI implementation.
^automake@1.16.1%clang@3.8.0-2ubuntu4 arch=linux-ubuntu16.04-x86_64
We have only expressed a preference for mpich over other MPI
We have only expressed a preference for MPICH over other MPI
implementations, and Spack will happily build with one we haven't
forbid it from building. We could resolve this by requesting
``hdf5%clang+mpi^mpich`` explicitly, or we can configure Spack not to
``hdf5+mpi%clang^mpich`` explicitly, or we can configure Spack not to
use any other MPI implementation. Since we're focused on
configurations here and the former can get tedious, we'll need to
modify our ``packages.yaml`` file again.
While we're at it, we can configure hdf5 to build with MPI by default
While we're at it, we can configure HDF5 to build with MPI by default
again.
.. code-block:: yaml
@@ -759,7 +763,7 @@ again.
Now that we have configured Spack not to build any of the possible
providers for MPI we can try again.
providers for MPI, we can try again.
.. code-block:: console
@@ -778,9 +782,10 @@ providers for MPI we can try again.
By configuring most of our package preferences in ``packages.yaml``,
we can cut down on the amount of work we need to do when specifying
a spec on the command line. In addition to compiler and variant
preferences, we can specify version preferences as well. Anything
that you can specify on the command line can be specified in
``packages.yaml`` with the exact same spec syntax.
preferences, we can specify version preferences as well. Except for
selecting providers via `^`, anything that you can specify on the
command line can be specified in ``packages.yaml`` with the exact
same spec syntax.
^^^^^^^^^^^^^^^^^^^^^^^^
Installation Permissions
@@ -863,8 +868,8 @@ into the build.
One last setting that may be of interest to many users is the ability
to customize the parallelism of Spack builds. By default, Spack
installs all packages in parallel with the number of jobs equal to the
number of cores on the node. For example, on a node with 16 cores,
this will look like:
number of cores on the node (up to a maximum of 16). For example, on a
node with 16 cores, this will look like:
.. code-block:: console
@@ -900,7 +905,7 @@ the number of cores our build uses, set ``build_jobs`` like so:
build_jobs: 2
If we uninstall and reinstall zlib, we see that it now uses only 4 cores:
If we uninstall and reinstall zlib, we see that it now uses only 2 cores:
.. code-block:: console