64d6463d2e
Currently, when IPFIX records generation is enabled for an interface in the TX direction, some rewritten traffic is being sent from that interface, and the Ethernet header's location has changed due to rewriting, generated TX flows will contain fields with wrong and zero values. For example, that can be observed when traffic is rewritten from a subinterface to a hardware interface (i.e. when tags are removed). A TX flow generated in this case will have wrong L2 fields because of an incorrectly located Ethernet header. And zero L3/L4 fields because the Ethernet type will match neither IP4 nor IP6. The same code is executed to generate flows for both input and output features. And the same mechanism is applied to identify the Ethernet header in the buffer's data. However, such general code usually works with the buffer's data conditionally based on the direction. For most input features, the buffer's current_data will likely point to the IP header. For most output features, the buffer's current_data will likely point to the Ethernet header. With this fix: - Keep relying on ethernet_buffer_get_header() to locate the Ethernet header for input features. And start using vlib_buffer_get_current() to locate the Ethernet header for output features. The function will account for the Ethernet header's position change in the buffer's data if there is rewriting. - After fixing Ethernet header determination in the buffer's data, L3/L4 fields will contain non-zero but still incorrect data. That is because IP header determination needs to be fixed too. It currently relies on the fact that the Ethernet header is always located at the beginning of the buffer's data and that l2_hdr_sz can be used as an IP header offset. However, this may not be the case after rewriting. So start calculating the actual offset of the IP header in the buffer's data. - Add a unit test to cover the case. Type: fix Change-Id: Icf3f9e6518912d06dff0d5aa48e103b3dc94edb7 Signed-off-by: Alexander Chernavin <achernavin@netgate.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 doc/releasenotes.
Directory layout
| 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 |
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.