make test: improve debugability

Introduce faulthandler to print stack trace to stderr on python crash.
Don't disable automatic garbage collection to decrease the chances of
running out of memory.

Change-Id: I6927a5f6ea9569735d084d4ed3d258950a400d74
Signed-off-by: Klement Sekera <ksekera@cisco.com>
2 files changed
tree: 5f1400d6db050d46c7f2972bb0da8d22de6967ec
  1. build-data/
  2. build-root/
  3. doxygen/
  4. dpdk/
  5. extras/
  6. gmod/
  7. src/
  8. test/
  9. .gitignore
  10. .gitreview
  11. LICENSE
  12. MAINTAINERS
  13. Makefile
  14. README.md
  15. RELEASE.md
README.md

Vector Packet Processing

Introduction

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.

Changes

Details of the changes leading up to this version of VPP can be found under @ref release_notes.

Directory layout

Directory nameDescription
build-dataBuild metadata
build-rootBuild output directory
doxygenDocumentation generator configuration
dpdkDPDK patches and build infrastructure
@ref srcVPP source code
@ref src/pluginsVPP bundled plugins directory
@ref src/svmShared virtual memory allocation library
src/testsUnit tests
src/vatVPP API test program
@ref src/vlibVPP application library
@ref src/vlibapiVPP API library
@ref src/vlibmemoryVPP Memory management
@ref src/vlibsocketVPP Socket I/O
@ref src/vnetVPP networking
@ref src/vppVPP application
@ref src/vpp-apiVPP application API bindings
@ref src/vppinfraVPP core library
testUnit tests
@ref src/vpp/apiNot-yet-relocated API bindings

Getting started

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.

Quick-start: On an existing Linux host

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

Quick-start: Vagrant

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).

More information

Several modules provide documentation, see @subpage user_doc for more information.

Visit the VPP wiki for details on more advanced building strategies and development notes.

Test Framework

There is PyDoc generated documentation available for the VPP test framework. See @subpage test_framework_doc for details.