commit | c14b8cfe601b7b56e946e5f518e82a47e223c721 | [log] [tgz] |
---|---|---|
author | Matthew Smith <mgsmith@netgate.com> | Wed Dec 01 20:02:35 2021 +0000 |
committer | Neale Ranns <neale@graphiant.com> | Sat Dec 04 12:52:29 2021 +0000 |
tree | 73e77279155cbce1ea33ef037f36d8d92e04ab91 | |
parent | 0d05c0d214ffd326e531bea58f3c971bb9a58252 [diff] |
ipsec: fix async buffer leak Type: fix Fixes: f16e9a5507 If an attempt to submit an async crypto frame fails, the buffers that were added to the frame are supposed to be dropped. This was not happening and they are leaking, resulting in buffer exhaustion. There are two issues: 1. The return value of esp_async_recycle_failed_submit() is used to figure out how many buffers should be dropped. That function calls vnet_crypto_async_reset_frame() and then returns f->n_elts. Resetting the frame sets n_elts to 0. So esp_async_recycle_failed_submit() always returns 0. It is safe to remove the call to reset the frame because esp_async_recycle_failed_submit() is called in 2 places and a call to reset the frame is made immediately afterwards in both cases - so it is currently unnecessary anyway. 2. An array and an index are passed to esp_async_recycle_failed_submit(). The index should indicate the position in the array where indices of the buffers contained in the frame should be written. Across multiple calls, the same index value (n_sync) is passed. This means each call may overwrite the same entries in the array with the buffer indices in the frame rather than appending them to the entries which were written earlier. Pass n_noop as the index instead of n_sync. Change-Id: I525ab3c466965446f6c116f4c8c5ebb678a66d84 Signed-off-by: Matthew Smith <mgsmith@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.