vlib: avoid non-mp-safe cli process node updates

Node renames, clone and node_by_name hash updates should be done
in vlib_node_register() / vlib_node_rename() under barrier, or
else runtime per-node stats can be either inaccurate or lead to UB.

Drop cli process nodes renaming rather than adding barrier
syncronization on reuse, nodes will get "unix-cli-process-ID"
stable names, description and terminal names are preserved and can
be obtained with "show cli-sessions" and "show terminal" commands.
Also fix insufficient name width for "show cli-sessions" with table
formatting, output sample:

    DBGvpp# sh cli-sessions
    PNI   FD    Name                     Flags
    708   14    unix-cli-local:10558     iSLpa
    710   15    unix-cli-127.0.0.1:33252 ISlpA

    DBGvpp# sh terminal
    Terminal name:   unix-cli-127.0.0.1:33252
    Terminal node:   unix-cli-process-1
    Terminal mode:   char-by-char
    Terminal width:  158
    Terminal height: 43
    ANSI capable:    yes
    Interactive:     yes
    History enabled: yes
    History limit:   50
    Pager enabled:   yes
    Pager limit:     100000
    CRLF mode:       CR+LF

Type: improvement
Signed-off-by: Vladislav Grishenko <themiron@yandex-team.ru>
Change-Id: I40af4c0a5e5be92d5e3ebcd440fa55390aeb0e8b
1 file changed
tree: c6782ce295c4956acbbf3f0896ad9c38aa844e76
  1. .github/
  2. build/
  3. build-data/
  4. build-root/
  5. docs/
  6. extras/
  7. src/
  8. test/
  9. .clang-format
  10. .clang-tidy
  11. .git_commit_template.txt
  12. .gitignore
  13. .gitreview
  14. configure
  15. INFO.yaml
  16. LICENSE
  17. MAINTAINERS
  18. Makefile
  19. README.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 doc/releasenotes.

Directory layout

Directory nameDescription
build-dataBuild metadata
build-rootBuild output directory
docsSphinx Documentation
dpdkDPDK patches and build infrastructure
extras/libmemifClient library for memif
src/examplesVPP example code
src/pluginsVPP bundled plugins directory
src/svmShared virtual memory allocation library
src/testsStandalone tests (not part of test harness)
src/vatVPP API test program
src/vlibVPP application library
src/vlibapiVPP API library
src/vlibmemoryVPP Memory management
src/vnetVPP networking
src/vppVPP application
src/vpp-apiVPP application API bindings
src/vppinfraVPP core library
src/vpp/apiNot-yet-relocated API bindings
testUnit tests and Python test harness

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 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.