4c9484373f
Small improvements made to the compressdev programmer's guide. This includes rephrasing some sentences, fixing grammar, and aligning formatting. Fixes:a584d3bea9
("doc: add compressdev library guide") Fixes:f7095d41bb
("doc: clarify data plane error handling in compressdev") Cc: stable@dpdk.org Signed-off-by: Ciara Power <ciara.power@intel.com> Acked-by: Fan Zhang <roy.fan.zhang@intel.com>
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651 lines
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ReStructuredText
.. SPDX-License-Identifier: BSD-3-Clause
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Copyright(c) 2017-2018 Cavium Networks.
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Compression Device Library
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==========================
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The compression framework provides a generic set of APIs to perform compression services
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as well as to query and configure compression devices both physical(hardware) and virtual(software)
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to perform those services. The framework currently only supports lossless compression schemes:
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Deflate and LZS.
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Device Management
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-----------------
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Device Creation
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~~~~~~~~~~~~~~~
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Physical compression devices are discovered during the bus probe of the EAL function
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which is executed at DPDK initialization, based on their unique device identifier.
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For e.g. PCI devices can be identified using PCI BDF (bus/bridge, device, function).
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Specific physical compression devices, like other physical devices in DPDK can be
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listed using the EAL command line options.
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Virtual devices can be created by two mechanisms, either using the EAL command
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line options or from within the application using an EAL API directly.
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From the command line using the --vdev EAL option
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.. code-block:: console
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--vdev '<PMD name>,socket_id=0'
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.. Note::
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* If a DPDK application requires multiple software compression PMD devices then the
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required number of ``--vdev`` args with appropriate libraries are to be added.
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* An application with multiple compression device instances exposed by the same PMD must
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specify a unique name for each device.
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Example: ``--vdev 'pmd0' --vdev 'pmd1'``
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Or, by using the rte_vdev_init API within the application code.
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.. code-block:: c
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rte_vdev_init("<pmd_name>","socket_id=0")
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All virtual compression devices support the following initialization parameters:
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* ``socket_id`` - socket on which to allocate the device resources on.
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Device Identification
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~~~~~~~~~~~~~~~~~~~~~
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Each device, whether virtual or physical, is uniquely designated by two
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identifiers:
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- A unique device index used to designate the compression device in all functions
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exported by the compressdev API.
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- A device name used to designate the compression device in console messages, for
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administration or debugging purposes.
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Device Configuration
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~~~~~~~~~~~~~~~~~~~~
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The configuration of each compression device includes the following operations:
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- Allocation of resources, including hardware resources if a physical device.
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- Resetting the device into a well-known default state.
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- Initialization of statistics counters.
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The ``rte_compressdev_configure`` API is used to configure a compression device.
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The ``rte_compressdev_config`` structure is used to pass the configuration
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parameters.
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See the `DPDK API Reference <https://doc.dpdk.org/api/rte__compressdev_8h.html>`_ for details.
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Configuration of Queue Pairs
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Each compression device queue pair is individually configured through the
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``rte_compressdev_queue_pair_setup`` API.
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The ``max_inflight_ops`` is used to pass maximum number of
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``rte_comp_op`` that could be present in a queue at a time.
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The PMD can then allocate resources accordingly on a specified socket.
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See the `DPDK API Reference <https://doc.dpdk.org/api/rte__compressdev_8h.html>`_ for details.
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Logical Cores, Memory and Queue Pair Relationships
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The Compressdev library supports NUMA similarly as described in Cryptodev library section.
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A queue pair cannot be shared, and should be exclusively used by a single processing
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context for enqueuing operations or dequeuing operations on the same compression device,
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since sharing would require global locks and hinder performance. It is however possible
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to use a different logical core to dequeue an operation on a queue pair from the logical
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core on which it was enqueued. This means that for a compression burst, enqueue/dequeue
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APIs are a logical place to transition from one logical core to another in a
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data processing pipeline.
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Device Features and Capabilities
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--------------------------------
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Compression devices define their functionality through two mechanisms, global device
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features and algorithm features. Global device features identify device
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wide level features which are applicable to the whole device, such as supported hardware
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acceleration and CPU features. List of compression device features can be seen in the
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RTE_COMPDEV_FF_XXX macros.
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The algorithm features are features which the device supports per-algorithm,
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such as a stateful compression/decompression, checksums operation etc.
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The list of algorithm features can be seen in the RTE_COMP_FF_XXX macros.
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Capabilities
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~~~~~~~~~~~~
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Each PMD has a list of capabilities, including algorithms listed in
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the enum ``rte_comp_algorithm``, its associated feature flag, and
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sliding window range in log base 2 value. The sliding window range
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defines the minimum and maximum size of a lookup window that an algorithm uses
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to find duplicates.
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See the `DPDK API Reference <https://doc.dpdk.org/api/rte__compressdev_8h.html>`_ for details.
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Each Compression poll mode driver defines its array of capabilities
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for each algorithm it supports. See the PMD implementation for capability
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initialization.
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Capabilities Discovery
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~~~~~~~~~~~~~~~~~~~~~~
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PMD capability and features are discovered via the ``rte_compressdev_info_get`` function.
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The ``rte_compressdev_info`` structure contains all the relevant information for the device.
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See the `DPDK API Reference <https://doc.dpdk.org/api/rte__compressdev_8h.html>`_ for details.
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Compression Operation
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---------------------
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DPDK compression supports two types of compression methodologies:
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- Stateless - data associated with a compression operation is compressed without any reference
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to another compression operation.
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- Stateful - data in each compression operation is compressed with reference to previous compression
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operations in the same data stream i.e. history of data is maintained between the operations.
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For more explanation, please refer to the RFC https://www.ietf.org/rfc/rfc1951.txt
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Operation Representation
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~~~~~~~~~~~~~~~~~~~~~~~~
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A compression operation is described via ``struct rte_comp_op``, which contains both input and
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output data. The operation structure includes the operation type (stateless or stateful),
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the operation status, the priv_xform/stream handle, source, destination and checksum buffer
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pointers. It also contains the source mempool from which the operation is allocated.
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The PMD updates the consumed field with the amount of data read from the source buffer,
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and the produced field with the amount of data written into the destination buffer,
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along with status of operation.
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See the section :ref:`compressdev_prod_cons_op_status`: for more details.
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The compression operations mempool also has the ability to allocate private memory with the
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operation for the application's use. The application software is responsible for specifying
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all the operation specific fields in the ``rte_comp_op`` structure, which are then used
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by the compression PMD to process the requested operation.
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Operation Management and Allocation
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The compressdev library provides an API set for managing compression operations which
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utilize the Mempool Library to allocate operation buffers. Therefore, it ensures
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that the compression operation is interleaved optimally across the channels and
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ranks for optimal processing.
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A ``rte_comp_op`` contains a field indicating the pool it originated from.
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``rte_comp_op_alloc()`` and ``rte_comp_op_bulk_alloc()`` are used to allocate
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compression operations from a given compression operation mempool.
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The operation gets reset before being returned to a user so that the operation
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is always in a good known state before use by the application.
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``rte_comp_op_free()`` is called by the application to return an operation to
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its allocating pool.
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See the `DPDK API Reference <https://doc.dpdk.org/api/rte__compressdev_8h.html>`_ for details.
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Passing source data as mbuf-chain
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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If input data is scattered across several different buffers, then
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the application can either parse through all such buffers and make one
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mbuf-chain and enqueue it for processing or, alternatively, it can
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make multiple sequential enqueue_burst() calls for each of them,
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processing them statefully. See :ref:`compressdev_stateful_op`:
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for stateful processing of ops.
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Operation Status
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~~~~~~~~~~~~~~~~
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Each operation carries status information updated by the PMD after it is processed.
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The following are currently supported:
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- RTE_COMP_OP_STATUS_SUCCESS,
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Operation is successfully completed
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- RTE_COMP_OP_STATUS_NOT_PROCESSED,
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Operation has not yet been processed by the device
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- RTE_COMP_OP_STATUS_INVALID_ARGS,
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Operation failed due to invalid arguments in request
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- RTE_COMP_OP_STATUS_ERROR,
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Operation failed because of internal error
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- RTE_COMP_OP_STATUS_INVALID_STATE,
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Operation is invoked in invalid state
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- RTE_COMP_OP_STATUS_OUT_OF_SPACE_TERMINATED,
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Output buffer ran out of space during processing. Error case,
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PMD cannot continue from here.
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- RTE_COMP_OP_STATUS_OUT_OF_SPACE_RECOVERABLE,
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Output buffer ran out of space before operation completed, but this
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is not an error case. Output data up to op.produced can be used and
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the next op in the stream should continue on from op.consumed+1.
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Operation status after enqueue / dequeue
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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Some of the above values may arise in the op after an
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``rte_compressdev_enqueue_burst()``. If the number of ops enqueued < the number of ops requested
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then the app should check the op.status of nb_enqd+1.
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If the status is RTE_COMP_OP_STATUS_NOT_PROCESSED, it likely indicates a full-queue case for a
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hardware device, and a retry after dequeuing some ops is likely to be successful.
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If the op holds any other status, e.g. RTE_COMP_OP_STATUS_INVALID_ARGS, a retry with
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the same op is unlikely to be successful.
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.. _compressdev_prod_cons_op_status:
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Produced, Consumed And Operation Status
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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- If the status is RTE_COMP_OP_STATUS_SUCCESS,
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consumed = amount of data read from input buffer, and
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produced = amount of data written in destination buffer
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- If status is RTE_COMP_OP_STATUS_ERROR,
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consumed = produced = undefined
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- If status is RTE_COMP_OP_STATUS_OUT_OF_SPACE_TERMINATED,
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consumed = 0 and
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produced = usually 0, but in decompression cases a PMD may return > 0
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i.e. amount of data successfully produced until out of space condition
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hit. Application can consume output data in this case, if required.
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- If status is RTE_COMP_OP_STATUS_OUT_OF_SPACE_RECOVERABLE,
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consumed = amount of data read, and
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produced = amount of data successfully produced until
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out of space condition hit. The PMD has ability to recover
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from here, so an application can submit the next op from
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consumed+1, and a destination buffer with available space.
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Transforms
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----------
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Compression transforms (``rte_comp_xform``) are the mechanism
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to specify the details of the compression operation such as algorithm,
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window size, and checksum.
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Compression API Hash support
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----------------------------
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The compression API allows an application to enable digest calculation
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alongside compression and decompression of data. A PMD reflects its
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support for hash algorithms via capability algo feature flags.
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If supported, the PMD always calculates the digest on plaintext i.e.
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before compression and after decompression.
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Currently supported list of hash algos are SHA-1 and SHA2 family
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SHA256.
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See the `DPDK API Reference <https://doc.dpdk.org/api/rte__compressdev_8h.html>`_ for details.
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If required, the application should set the valid hash algo in compress
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or decompress xforms during ``rte_compressdev_stream_create()``
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or ``rte_compressdev_private_xform_create()``, and pass a valid
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output buffer in ``rte_comp_op`` hash field struct to store the
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resulting digest. The buffer passed should be contiguous and large
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enough to store digest, which is 20 bytes for SHA-1 and
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32 bytes for SHA2-256.
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Compression API Stateless operation
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------------------------------------
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An op is processed stateless if it has
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- op_type set to RTE_COMP_OP_STATELESS
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- flush value set to RTE_COMP_FLUSH_FULL or RTE_COMP_FLUSH_FINAL
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(required only on compression side),
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- All required input in source buffer
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When all of the above conditions are met, the PMD initiates stateless processing
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and releases acquired resources after processing of current operation is
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complete. The application can enqueue multiple stateless ops in a single burst
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and must attach priv_xform handle to such ops.
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priv_xform in Stateless operation
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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A priv_xform is private data managed internally by the PMD to do stateless processing.
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A priv_xform is initialized by an application providing a generic xform structure
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to ``rte_compressdev_private_xform_create``, which returns an opaque priv_xform reference.
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If the PMD supports SHAREABLE priv_xform, indicated via algorithm feature flag,
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then the application can attach the same priv_xform with many stateless ops at a time.
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If not, then the application needs to create as many priv_xforms as it expects to have
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stateless operations in-flight.
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.. figure:: img/stateless-op.*
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Stateless Ops using Non-Shareable priv_xform
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.. figure:: img/stateless-op-shared.*
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Stateless Ops using Shareable priv_xform
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The application should call ``rte_compressdev_private_xform_create()`` and attach it to a stateless
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op before enqueuing them for processing and free via ``rte_compressdev_private_xform_free()``
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during termination.
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An example pseudocode to setup and process NUM_OPS stateless ops with each of length OP_LEN
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using priv_xform would look like:
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.. code-block:: c
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/*
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* pseudocode for stateless compression
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*/
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uint8_t cdev_id = rte_compressdev_get_dev_id(<PMD name>);
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/* configure the device. */
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if (rte_compressdev_configure(cdev_id, &conf) < 0)
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rte_exit(EXIT_FAILURE, "Failed to configure compressdev %u", cdev_id);
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if (rte_compressdev_queue_pair_setup(cdev_id, 0, NUM_MAX_INFLIGHT_OPS,
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socket_id()) < 0)
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rte_exit(EXIT_FAILURE, "Failed to setup queue pair\n");
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if (rte_compressdev_start(cdev_id) < 0)
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rte_exit(EXIT_FAILURE, "Failed to start device\n");
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/* setup compress transform */
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struct rte_comp_xform compress_xform = {
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.type = RTE_COMP_COMPRESS,
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.compress = {
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.algo = RTE_COMP_ALGO_DEFLATE,
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.deflate = {
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.huffman = RTE_COMP_HUFFMAN_DEFAULT
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},
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.level = RTE_COMP_LEVEL_PMD_DEFAULT,
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.chksum = RTE_COMP_CHECKSUM_NONE,
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.window_size = DEFAULT_WINDOW_SIZE,
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.hash_algo = RTE_COMP_HASH_ALGO_NONE
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}
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};
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/* create priv_xform and initialize it for the compression device. */
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rte_compressdev_info dev_info;
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void *priv_xform = NULL;
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int shareable = 1;
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rte_compressdev_info_get(cdev_id, &dev_info);
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if (dev_info.capabilities->comp_feature_flags & RTE_COMP_FF_SHAREABLE_PRIV_XFORM) {
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rte_compressdev_private_xform_create(cdev_id, &compress_xform, &priv_xform);
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} else {
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shareable = 0;
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}
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/* create operation pool via call to rte_comp_op_pool_create and alloc ops */
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struct rte_comp_op *comp_ops[NUM_OPS];
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rte_comp_op_bulk_alloc(op_pool, comp_ops, NUM_OPS);
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/* prepare ops for compression operations */
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for (i = 0; i < NUM_OPS; i++) {
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struct rte_comp_op *op = comp_ops[i];
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if (!shareable)
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rte_compressdev_private_xform_create(cdev_id, &compress_xform, &op->priv_xform)
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else
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op->private_xform = priv_xform;
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op->op_type = RTE_COMP_OP_STATELESS;
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op->flush_flag = RTE_COMP_FLUSH_FINAL;
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op->src.offset = 0;
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op->dst.offset = 0;
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op->src.length = OP_LEN;
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op->input_chksum = 0;
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setup op->m_src and op->m_dst;
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}
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num_enqd = rte_compressdev_enqueue_burst(cdev_id, 0, comp_ops, NUM_OPS);
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/* wait for this to complete before enqueuing next*/
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do {
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num_deque = rte_compressdev_dequeue_burst(cdev_id, 0 , &processed_ops, NUM_OPS);
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} while (num_dqud < num_enqd);
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Stateless and OUT_OF_SPACE
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~~~~~~~~~~~~~~~~~~~~~~~~~~
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OUT_OF_SPACE is a condition when the output buffer runs out of space and where the PMD
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still has more data to produce. If the PMD runs into such condition, then the PMD returns
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RTE_COMP_OP_OUT_OF_SPACE_TERMINATED error. In such case, the PMD resets itself and can set
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consumed=0 and produced=amount of output it could produce before hitting out_of_space.
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The application would need to resubmit the whole input with a larger output buffer, if it
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wants the operation to be completed.
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Hash in Stateless
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~~~~~~~~~~~~~~~~~
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If hash is enabled, the digest buffer will contain valid data after an op is successfully
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processed i.e. dequeued with status = RTE_COMP_OP_STATUS_SUCCESS.
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Checksum in Stateless
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~~~~~~~~~~~~~~~~~~~~~
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If checksum is enabled, checksum will only be available after an op is successfully
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processed i.e. dequeued with status = RTE_COMP_OP_STATUS_SUCCESS.
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.. _compressdev_stateful_op:
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Compression API Stateful operation
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-----------------------------------
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The compression API provides RTE_COMP_FF_STATEFUL_COMPRESSION and
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RTE_COMP_FF_STATEFUL_DECOMPRESSION feature flag for the PMD to reflect
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its support for Stateful operations.
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A Stateful operation in DPDK compression means the application invokes enqueue
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burst() multiple times to process a related chunk of data because the
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application broke the data into several ops.
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In such cases
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- ops are setup with op_type RTE_COMP_OP_STATEFUL,
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- all ops except the last are set with flush value = RTE_COMP_FLUSH_NONE/SYNC
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and the last is set with flush value RTE_COMP_FLUSH_FULL/FINAL.
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In case of either one or all of the above conditions, the PMD initiates
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stateful processing and releases acquired resources after processing the
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operation with flush value = RTE_COMP_FLUSH_FULL/FINAL is complete.
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Unlike stateless, the application can enqueue only one stateful op from
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a particular stream at a time and must attach a stream handle
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to each op.
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Stream in Stateful operation
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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A stream in DPDK compression is a logical entity which identifies a related set of ops.
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For example, one large file broken into multiple chunks, then the file is represented by a stream,
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and each chunk of that file is represented by a compression op ``rte_comp_op``.
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Whenever an application wants stateful processing of such data, then it must get a stream handle
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via making call to ``rte_compressdev_stream_create()`` with an xform, which will return an opaque
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stream handle to attach to all of the ops carrying data of that stream.
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In stateful processing, every op requires previous op data for compression/decompression.
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A PMD allocates and sets up resources such as history, states, etc. within a stream,
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which are maintained during the processing of related ops.
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Unlike priv_xforms, a stream is always a NON_SHAREABLE entity. One stream handle must be attached
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to only one set of related ops and cannot be reused until all of them are processed with a
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success/failure status.
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.. figure:: img/stateful-op.*
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Stateful Ops
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An application should call ``rte_compressdev_stream_create()`` and attach it to the op before
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enqueuing them for processing and free via ``rte_compressdev_stream_free()`` during
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termination. All ops that are to be processed statefully should carry the *same* stream.
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See the `DPDK API Reference <https://doc.dpdk.org/api/rte__compressdev_8h.html>`_ for details.
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An example pseudocode to set up and process a stream having NUM_CHUNKS,
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with each chunk size of CHUNK_LEN, would look like:
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.. code-block:: c
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/*
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* pseudocode for stateful compression
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*/
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uint8_t cdev_id = rte_compressdev_get_dev_id(<PMD name>);
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/* configure the device. */
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if (rte_compressdev_configure(cdev_id, &conf) < 0)
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rte_exit(EXIT_FAILURE, "Failed to configure compressdev %u", cdev_id);
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if (rte_compressdev_queue_pair_setup(cdev_id, 0, NUM_MAX_INFLIGHT_OPS,
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socket_id()) < 0)
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rte_exit(EXIT_FAILURE, "Failed to setup queue pair\n");
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if (rte_compressdev_start(cdev_id) < 0)
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rte_exit(EXIT_FAILURE, "Failed to start device\n");
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/* setup compress transform. */
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struct rte_comp_xform compress_xform = {
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.type = RTE_COMP_COMPRESS,
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.compress = {
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.algo = RTE_COMP_ALGO_DEFLATE,
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.deflate = {
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.huffman = RTE_COMP_HUFFMAN_DEFAULT
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},
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.level = RTE_COMP_LEVEL_PMD_DEFAULT,
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.chksum = RTE_COMP_CHECKSUM_NONE,
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.window_size = DEFAULT_WINDOW_SIZE,
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.hash_algo = RTE_COMP_HASH_ALGO_NONE
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}
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};
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/* create stream */
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void *stream;
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rte_compressdev_stream_create(cdev_id, &compress_xform, &stream);
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/* create an op pool and allocate ops */
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rte_comp_op_bulk_alloc(op_pool, comp_ops, NUM_CHUNKS);
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/* Prepare source and destination mbufs for compression operations */
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unsigned int i;
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for (i = 0; i < NUM_CHUNKS; i++) {
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if (rte_pktmbuf_append(mbufs[i], CHUNK_LEN) == NULL)
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rte_exit(EXIT_FAILURE, "Not enough room in the mbuf\n");
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comp_ops[i]->m_src = mbufs[i];
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if (rte_pktmbuf_append(dst_mbufs[i], CHUNK_LEN) == NULL)
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rte_exit(EXIT_FAILURE, "Not enough room in the mbuf\n");
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comp_ops[i]->m_dst = dst_mbufs[i];
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}
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/* Set up the compress operations. */
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for (i = 0; i < NUM_CHUNKS; i++) {
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struct rte_comp_op *op = comp_ops[i];
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op->stream = stream;
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op->m_src = src_buf[i];
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op->m_dst = dst_buf[i];
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op->op_type = RTE_COMP_OP_STATEFUL;
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if (i == NUM_CHUNKS-1) {
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/* set to final, if last chunk*/
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op->flush_flag = RTE_COMP_FLUSH_FINAL;
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} else {
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/* set to NONE, for all intermediary ops */
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op->flush_flag = RTE_COMP_FLUSH_NONE;
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}
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op->src.offset = 0;
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op->dst.offset = 0;
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op->src.length = CHUNK_LEN;
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op->input_chksum = 0;
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num_enqd = rte_compressdev_enqueue_burst(cdev_id, 0, &op[i], 1);
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/* wait for this to complete before enqueuing next*/
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do {
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num_deqd = rte_compressdev_dequeue_burst(cdev_id, 0 , &processed_ops, 1);
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} while (num_deqd < num_enqd);
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/* analyze the amount of consumed and produced data before pushing next op*/
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}
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Stateful and OUT_OF_SPACE
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~~~~~~~~~~~~~~~~~~~~~~~~~
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If a PMD supports stateful operation, then an OUT_OF_SPACE status is not an actual
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error for the PMD. In such a case, the PMD returns with status
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RTE_COMP_OP_STATUS_OUT_OF_SPACE_RECOVERABLE with consumed = number of input bytes
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read, and produced = length of complete output buffer.
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The application should enqueue the next op with source starting at consumed+1, and an
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output buffer with available space.
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Hash in Stateful
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~~~~~~~~~~~~~~~~
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If enabled, the digest buffer will contain valid digest after the last op in a stream
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(having flush = RTE_COMP_FLUSH_FINAL) is successfully processed i.e. dequeued
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with status = RTE_COMP_OP_STATUS_SUCCESS.
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Checksum in Stateful
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~~~~~~~~~~~~~~~~~~~~
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If enabled, the checksum will only be available after the last op in a stream
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(having flush = RTE_COMP_FLUSH_FINAL) is successfully processed i.e. dequeued
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with status = RTE_COMP_OP_STATUS_SUCCESS.
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Burst in compression API
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------------------------
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Scheduling of compression operations on DPDK's application data path is
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performed using a burst oriented asynchronous API set. A queue pair on a compression
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device accepts a burst of compression operations using the enqueue burst API.
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On physical devices the enqueue burst API will place the operations to be processed
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on the device's hardware input queue, for virtual devices the processing of the
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operations is usually completed during the enqueue call to the compression
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device. The dequeue burst API will retrieve any processed operations available
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from the queue pair on the compression device, from physical devices this is usually
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directly from the devices processed queue, and for virtual device's from an
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``rte_ring`` where processed operations are placed after being processed on the
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enqueue call.
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A burst in DPDK compression can be a combination of stateless and stateful operations with a
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condition that for stateful ops only one op at a time should be enqueued from a particular stream
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i.e. two ops should never belong to the same stream in a single burst.
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However, a burst may contain multiple stateful ops, as long as each op is attached to a different
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stream, i.e. a burst can look like:
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+---------------+--------------+--------------+-----------------+--------------+--------------+
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| enqueue_burst | op1.no_flush | op2.no_flush | op3.flush_final | op4.no_flush | op5.no_flush |
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+---------------+--------------+--------------+-----------------+--------------+--------------+
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Where, op1 .. op5 all belong to different independent data units. op1, op2, op4, op5 must be
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stateful as stateless ops can only use flush full or final and op3 can be of type stateless or
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stateful. Every op with type set to RTE_COMP_OP_STATELESS must be attached to priv_xform and
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every op with type set to RTE_COMP_OP_STATEFUL *must* be attached to stream.
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Since each operation in a burst is independent and thus can be completed
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out of order, applications which need ordering should setup a per-op user data
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area, with reordering information so that it can determine enqueue order at
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dequeue.
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Also, if multiple threads calls enqueue_burst() on the same queue pair then it's
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the application's responsibility to use a proper locking mechanism to ensure
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exclusive enqueuing of operations.
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Enqueue / Dequeue Burst APIs
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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The burst enqueue API uses a compression device identifier and a queue pair
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identifier to specify the compression device queue pair to schedule the processing on.
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The ``nb_ops`` parameter is the number of operations to process which are
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supplied in the ``ops`` array of ``rte_comp_op`` structures.
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The enqueue function returns the number of operations it actually enqueued for
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processing, a return value equal to ``nb_ops`` means that all packets have been
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enqueued.
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The dequeue API uses the same format as the enqueue API but
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the ``nb_ops`` and ``ops`` parameters are now used to specify the max processed
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operations the user wishes to retrieve and the location in which to store them.
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The API call returns the actual number of processed operations returned, this
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can never be larger than ``nb_ops``.
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Sample code
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-----------
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There are unit test applications that show how to use the compressdev library inside
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``app/test/test_compressdev.c``
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Compression Device API
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~~~~~~~~~~~~~~~~~~~~~~
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The compressdev Library API is described in the
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`DPDK API Reference <https://doc.dpdk.org/api/rte__compressdev_8h.html>`_.
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