| commit | 8a92b68bc8eaaec48d144fba62490a32f28eb422 | [log] [tgz] |
|---|---|---|
| author | Alexander Chernavin <achernavin@netgate.com> | Mon May 22 14:27:24 2023 +0000 |
| committer | Matthew Smith <mgsmith@netgate.com> | Fri Oct 13 18:39:00 2023 +0000 |
| tree | 0191e0e25ee9344671e662dfd7bcd7d300b982ff | |
| parent | 29aabcf8f6746b386be70f535ce28d7f3605ecca [diff] |
ethernet: run callbacks for subifs too when mac changes When MAC address changes for an interface, address change callbacks are executed for it. In turn adjacencies register a callback for MAC address changes to be able to update their rewrite strings accordingly. Subinterfaces inherit MAC address from the parent interface. When MAC address of the parent interface changes, it also implies MAC address change for its subinterfaces. The problem is that this is currently not considered when address change callbacks are executed. After MAC address change on the parent interface, packets sent from subinterfaces might have wrong source MAC address as the result of stale adjacencies. For example, ARP messages might be sent with the wrong (previous) MAC address and address resolution will fail. With this fix, when address change callbacks are executed for an interface, they will be also executed for its subinterfaces. And adjacencies will be able to update accordingly. Type: fix Change-Id: I87349698c10b9c3a31a28c0287e6dc711d9413a2 Signed-off-by: Alexander Chernavin <achernavin@netgate.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 doc/releasenotes.
| Directory name | Description |
|---|---|
| build-data | Build metadata |
| build-root | Build output directory |
| docs | Sphinx Documentation |
| dpdk | DPDK patches and build infrastructure |
| extras/libmemif | Client library for memif |
| src/examples | VPP example code |
| src/plugins | VPP bundled plugins directory |
| src/svm | Shared virtual memory allocation library |
| src/tests | Standalone tests (not part of test harness) |
| src/vat | VPP API test program |
| src/vlib | VPP application library |
| src/vlibapi | VPP API library |
| src/vlibmemory | VPP Memory management |
| src/vnet | VPP networking |
| src/vpp | VPP application |
| src/vpp-api | VPP application API bindings |
| src/vppinfra | VPP core library |
| 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.