commit | f0797d130f82f751c1657e40e203eeb26f7aa3da | [log] [tgz] |
---|---|---|
author | Dave Wallace <dwallacelf@gmail.com> | Fri Nov 15 17:29:15 2019 -0500 |
committer | Paul Vinciguerra <pvinci@vinciconsulting.com> | Wed Dec 04 20:20:13 2019 +0000 |
tree | 9bdcb2d62a3516c2dbfcf45fc2806f63a4185696 | |
parent | c9cb8f6d9c6e1f51dfdf3e9f4ba0c9f38d1ca6d6 [diff] |
build: fix make test with distributed src This patch addresses the functionality that is missing for distributed make test source files. In addition it extends the concept of colocating test source code with functional source code (eg. src/vcl/test). It also cleans up deficiencies in the make test makefiles. NOTE: Due to the way sphinx document tools work, all test, all of the make test python code is gathered using soft links into the directory: .../build-root/build-test/src Change summary: - Remove 'make test' help details from main makefile help output to reduce clutter and redundant help output - Move all generated build output to .../build-root/build-test - Move test_vcl.py as first usecase for distributed core feature make test code - Add test-wipe-all target and fix wipe targets to remove all generated files - Fix 'make test-doc' to generate module documentation for all source files - Remove unused targets in test/doc/Makefile - Fix 'make test-shell' - Fix test/ext Makefile to not generate bogus output Type: fix Fixes: a43c93f8554ad7418e31be3791b3fb71232f60ac Change-Id: Icc2ddb81d474081c3ede4548ecd7a0624651f62d Signed-off-by: Dave Wallace <dwallacelf@gmail.com>
The VPP platform is an extensible framework that provides out-of-the-box production quality switch/router functionality. It is the open source version of Cisco's Vector Packet Processing (VPP) technology: a high performance, packet-processing stack that can run on commodity CPUs.
The benefits of this implementation of VPP are its high performance, proven technology, its modularity and flexibility, and rich feature set.
For more information on VPP and its features please visit the FD.io website and What is VPP? pages.
Details of the changes leading up to this version of VPP can be found under @ref release_notes.
Directory name | Description |
---|---|
build-data | Build metadata |
build-root | Build output directory |
doxygen | Documentation generator configuration |
dpdk | DPDK patches and build infrastructure |
@ref extras/libmemif | Client library for memif |
@ref src/examples | VPP example code |
@ref src/plugins | VPP bundled plugins directory |
@ref src/svm | Shared virtual memory allocation library |
src/tests | Standalone tests (not part of test harness) |
src/vat | VPP API test program |
@ref src/vlib | VPP application library |
@ref src/vlibapi | VPP API library |
@ref src/vlibmemory | VPP Memory management |
@ref src/vnet | VPP networking |
@ref src/vpp | VPP application |
@ref src/vpp-api | VPP application API bindings |
@ref src/vppinfra | VPP core library |
@ref src/vpp/api | Not-yet-relocated API bindings |
test | Unit tests and Python test harness |
In general anyone interested in building, developing or running VPP should consult the VPP wiki for more complete documentation.
In particular, readers are recommended to take a look at [Pulling, Building, Running, Hacking, Pushing](https://wiki.fd.io/view/VPP/Pulling,_Building,_Run ning,_Hacking_and_Pushing_VPP_Code) which provides extensive step-by-step coverage of the topic.
For the impatient, some salient information is distilled below.
To install system dependencies, build VPP and then install it, simply run the build script. This should be performed a non-privileged user with sudo
access from the project base directory:
./extras/vagrant/build.sh
If you want a more fine-grained approach because you intend to do some development work, the Makefile
in the root directory of the source tree provides several convenience shortcuts as make
targets that may be of interest. To see the available targets run:
make
The directory extras/vagrant
contains a VagrantFile
and supporting scripts to bootstrap a working VPP inside a Vagrant-managed Virtual Machine. This VM can then be used to test concepts with VPP or as a development platform to extend VPP. Some obvious caveats apply when using a VM for VPP since its performance will never match that of bare metal; if your work is timing or performance sensitive, consider using bare metal in addition or instead of the VM.
For this to work you will need a working installation of Vagrant. Instructions for this can be found [on the Setting up Vagrant wiki page] (https://wiki.fd.io/view/DEV/Setting_Up_Vagrant).
Several modules provide documentation, see @subpage user_doc for more end-user-oriented information. Also see @subpage dev_doc for developer notes.
Visit the VPP wiki for details on more advanced building strategies and other development notes.
There is PyDoc generated documentation available for the VPP test framework. See @ref test_framework_doc for details.