557d128b68
vppapigen now generates per-message crcs. Verified that whitespace
and real changes in message A don't change the crc for message B, etc.
Fixed the sample and flowperpkt plugins to participate. Others need
the same treatment. They don't build due to python/java language binding
build issues.
To use the scheme:
Client connects as usual.
Then call: u32 vl_api_get_msg_index(char * name_and_crc)
name_and_crc is a string like: "flowperpkt_tx_interface_add_del_753301f3",
aka the message name with _%08x <expected crc> appended.
Try these vpp-api-test commands to play with it:
vat# dump_msg_api_table
<snip>
[366]: punt_reply_cca27fbe
[367]: ipsec_spd_dump_5e9ae88e
[368]: ipsec_spd_details_6f7821b0
[369]: sample_macswap_enable_disable_0f2813e2
[370]: sample_macswap_enable_disable_reply_476738e5
[371]: flowperpkt_tx_interface_add_del_753301f3
[372]: flowperpkt_tx_interface_add_del_reply_d47e6e0b
vat# get_msg_id sample_macswap_enable_disable_reply_476738e5
'sample_macswap_enable_disable_reply_476738e5' has message index 370
vat# get_msg_id sample_macswap_enable_disable_reply_476738e3
'sample_macswap_enable_disable_reply_476738e3' not found
CRCs may vary, etc.
vppapigen is used to build a set of JSON representations
of each API file from vpp-api/Makefile.am and that is in
turn used by each language binding (Java, Python, Lua).
Change-Id: I3d64582e779dac5f20cddec79c562c288d8fd9c6
Signed-off-by: Dave Barach <dave@barachs.net>
Signed-off-by: Ole Troan <ot@cisco.com>
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 name | Description |
|---|---|
| build-data | Build metadata |
| build-root | Build output directory |
| doxygen | Documentation generator configuration |
| dpdk | DPDK patches and build infrastructure |
| g2 | Event log visualization tool |
| perftool | Performance tool |
| @ref plugins | VPP bundled plugins directory |
| @ref svm | Shared virtual memory allocation library |
| test | Unit tests |
| @ref vlib | VPP application library source |
| @ref vlib-api | VPP API library source |
| @ref vnet | VPP networking source |
| @ref vpp | VPP application source |
| @ref vpp-api | VPP application API source |
| vppapigen | VPP API generator source |
| vpp-api-test | VPP API test program source |
| @ref vppinfra | VPP core library source |
(If the page you are viewing is not generated by Doxygen then ignore any @@ref labels in the above table.)
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:
./build-root/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 build-root/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.