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authorVipin Varghese <vipin.varghese@intel.com>2019-04-09 12:03:44 +0530
committerThomas Monjalon <thomas@monjalon.net>2019-05-05 00:15:34 +0200
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doc: add guide for debug and troubleshoot
Add user guide on debugging and troubleshooting for common issues and bottleneck found in the sample application model. Signed-off-by: Vipin Varghese <vipin.varghese@intel.com> Acked-by: Marko Kovacevic <marko.kovacevic@intel.com> Acked-by: John McNamara <john.mcnamara@intel.com>
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-rw-r--r--doc/guides/howto/index.rst1
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diff --git a/doc/guides/howto/debug_troubleshoot.rst b/doc/guides/howto/debug_troubleshoot.rst
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@@ -0,0 +1,464 @@
+.. SPDX-License-Identifier: BSD-3-Clause
+ Copyright(c) 2018 Intel Corporation.
+
+Debug & Troubleshoot guide
+==========================
+
+DPDK applications can be designed to have simple or complex pipeline processing
+stages making use of single or multiple threads. Applications can use poll mode
+hardware devices which helps in offloading CPU cycles too. It is common to find
+solutions designed with
+
+* single or multiple primary processes
+
+* single primary and single secondary
+
+* single primary and multiple secondaries
+
+In all the above cases, it is tedious to isolate, debug, and understand various
+behaviors which occur randomly or periodically. The goal of the guide is to
+consolidate a few commonly seen issues for reference. Then, isolate to identify
+the root cause through step by step debug at various stages.
+
+.. note::
+
+ It is difficult to cover all possible issues; in a single attempt. With
+ feedback and suggestions from the community, more cases can be covered.
+
+
+Application Overview
+--------------------
+
+By making use of the application model as a reference, we can discuss multiple
+causes of issues in the guide. Let us assume the sample makes use of a single
+primary process, with various processing stages running on multiple cores. The
+application may also make uses of Poll Mode Driver, and libraries like service
+cores, mempool, mbuf, eventdev, cryptodev, QoS, and ethdev.
+
+The overview of an application modeled using PMD is shown in
+:numref:`dtg_sample_app_model`.
+
+.. _dtg_sample_app_model:
+
+.. figure:: img/dtg_sample_app_model.*
+
+ Overview of pipeline stage of an application
+
+
+Bottleneck Analysis
+-------------------
+
+A couple of factors that lead the design decision could be the platform, scale
+factor, and target. This distinct preference leads to multiple combinations,
+that are built using PMD and libraries of DPDK. While the compiler, library
+mode, and optimization flags are the components are to be constant, that
+affects the application too.
+
+
+Is there mismatch in packet (received < desired) rate?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+RX Port and associated core :numref:`dtg_rx_rate`.
+
+.. _dtg_rx_rate:
+
+.. figure:: img/dtg_rx_rate.*
+
+ RX packet rate compared against received rate.
+
+#. Is the configuration for the RX setup correctly?
+
+ * Identify if port Speed and Duplex is matching to desired values with
+ ``rte_eth_link_get``.
+
+ * Check ``DEV_RX_OFFLOAD_JUMBO_FRAME`` is set with ``rte_eth_dev_info_get``.
+
+ * Check promiscuous mode if the drops do not occur for unique MAC address
+ with ``rte_eth_promiscuous_get``.
+
+#. Is the drop isolated to certain NIC only?
+
+ * Make use of ``rte_eth_dev_stats`` to identify the drops cause.
+
+ * If there are mbuf drops, check nb_desc for RX descriptor as it might not
+ be sufficient for the application.
+
+ * If ``rte_eth_dev_stats`` shows drops are on specific RX queues, ensure RX
+ lcore threads has enough cycles for ``rte_eth_rx_burst`` on the port queue
+ pair.
+
+ * If there are redirect to a specific port queue pair with, ensure RX lcore
+ threads gets enough cycles.
+
+ * Check the RSS configuration ``rte_eth_dev_rss_hash_conf_get`` if the
+ spread is not even and causing drops.
+
+ * If PMD stats are not updating, then there might be offload or configuration
+ which is dropping the incoming traffic.
+
+#. Is there drops still seen?
+
+ * If there are multiple port queue pair, it might be the RX thread, RX
+ distributor, or event RX adapter not having enough cycles.
+
+ * If there are drops seen for RX adapter or RX distributor, try using
+ ``rte_prefetch_non_temporal`` which intimates the core that the mbuf in the
+ cache is temporary.
+
+
+Is there packet drops at receive or transmit?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+RX-TX port and associated cores :numref:`dtg_rx_tx_drop`.
+
+.. _dtg_rx_tx_drop:
+
+.. figure:: img/dtg_rx_tx_drop.*
+
+ RX-TX drops
+
+#. At RX
+
+ * Identify if there are multiple RX queue configured for port by
+ ``nb_rx_queues`` using ``rte_eth_dev_info_get``.
+
+ * Using ``rte_eth_dev_stats`` fetch drops in q_errors, check if RX thread
+ is configured to fetch packets from the port queue pair.
+
+ * Using ``rte_eth_dev_stats`` shows drops in ``rx_nombuf``, check if RX
+ thread has enough cycles to consume the packets from the queue.
+
+#. At TX
+
+ * If the TX rate is falling behind the application fill rate, identify if
+ there are enough descriptors with ``rte_eth_dev_info_get`` for TX.
+
+ * Check the ``nb_pkt`` in ``rte_eth_tx_burst`` is done for multiple packets.
+
+ * Check ``rte_eth_tx_burst`` invokes the vector function call for the PMD.
+
+ * If oerrors are getting incremented, TX packet validations are failing.
+ Check if there queue specific offload failures.
+
+ * If the drops occur for large size packets, check MTU and multi-segment
+ support configured for NIC.
+
+
+Is there object drops in producer point for the ring library?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Producer point for ring :numref:`dtg_producer_ring`.
+
+.. _dtg_producer_ring:
+
+.. figure:: img/dtg_producer_ring.*
+
+ Producer point for Rings
+
+#. Performance issue isolation at producer
+
+ * Use ``rte_ring_dump`` to validate for all single producer flag is set to
+ ``RING_F_SP_ENQ``.
+
+ * There should be sufficient ``rte_ring_free_count`` at any point in time.
+
+ * Extreme stalls in dequeue stage of the pipeline will cause
+ ``rte_ring_full`` to be true.
+
+
+Is there object drops in consumer point for the ring library?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Consumer point for ring :numref:`dtg_consumer_ring`.
+
+.. _dtg_consumer_ring:
+
+.. figure:: img/dtg_consumer_ring.*
+
+ Consumer point for Rings
+
+#. Performance issue isolation at consumer
+
+ * Use ``rte_ring_dump`` to validate for all single consumer flag is set to
+ ``RING_F_SC_DEQ``.
+
+ * If the desired burst dequeue falls behind the actual dequeue, the enqueue
+ stage is not filling up the ring as required.
+
+ * Extreme stall in the enqueue will lead to ``rte_ring_empty`` to be true.
+
+
+Is there a variance in packet or object processing rate in the pipeline?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Memory objects close to NUMA :numref:`dtg_mempool`.
+
+.. _dtg_mempool:
+
+.. figure:: img/dtg_mempool.*
+
+ Memory objects have to be close to the device per NUMA.
+
+#. Stall in processing pipeline can be attributes of MBUF release delays.
+ These can be narrowed down to
+
+ * Heavy processing cycles at single or multiple processing stages.
+
+ * Cache is spread due to the increased stages in the pipeline.
+
+ * CPU thread responsible for TX is not able to keep up with the burst of
+ traffic.
+
+ * Extra cycles to linearize multi-segment buffer and software offload like
+ checksum, TSO, and VLAN strip.
+
+ * Packet buffer copy in fast path also results in stalls in MBUF release if
+ not done selectively.
+
+ * Application logic sets ``rte_pktmbuf_refcnt_set`` to higher than the
+ desired value and frequently uses ``rte_pktmbuf_prefree_seg`` and does
+ not release MBUF back to mempool.
+
+#. Lower performance between the pipeline processing stages can be
+
+ * The NUMA instance for packets or objects from NIC, mempool, and ring
+ should be the same.
+
+ * Drops on a specific socket are due to insufficient objects in the pool.
+ Use ``rte_mempool_get_count`` or ``rte_mempool_avail_count`` to monitor
+ when drops occurs.
+
+ * Try prefetching the content in processing pipeline logic to minimize the
+ stalls.
+
+#. Performance issue can be due to special cases
+
+ * Check if MBUF continuous with ``rte_pktmbuf_is_contiguous`` as certain
+ offload requires the same.
+
+ * Use ``rte_mempool_cache_create`` for user threads require access to
+ mempool objects.
+
+ * If the variance is absent for larger huge pages, then try rte_mem_lock_page
+ on the objects, packets, lookup tables to isolate the issue.
+
+
+Is there a variance in cryptodev performance?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Crypto device and PMD :numref:`dtg_crypto`.
+
+.. _dtg_crypto:
+
+.. figure:: img/dtg_crypto.*
+
+ CRYPTO and interaction with PMD device.
+
+#. Performance issue isolation for enqueue
+
+ * Ensure cryptodev, resources and enqueue is running on NUMA cores.
+
+ * Isolate if the cause of errors for err_count using ``rte_cryptodev_stats``.
+
+ * Parallelize enqueue thread for varied multiple queue pair.
+
+#. Performance issue isolation for dequeue
+
+ * Ensure cryptodev, resources and dequeue are running on NUMA cores.
+
+ * Isolate if the cause of errors for err_count using ``rte_cryptodev_stats``.
+
+ * Parallelize dequeue thread for varied multiple queue pair.
+
+#. Performance issue isolation for crypto operation
+
+ * If the cryptodev software-assist is in use, ensure the library is built
+ with right (SIMD) flags or check if the queue pair using CPU ISA for
+ feature_flags AVX|SSE|NEON using ``rte_cryptodev_info_get``.
+
+ * If the cryptodev hardware-assist is in use, ensure both firmware and
+ drivers are up to date.
+
+#. Configuration issue isolation
+
+ * Identify cryptodev instances with ``rte_cryptodev_count`` and
+ ``rte_cryptodev_info_get``.
+
+
+Is user functions performance is not as expected?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Custom worker function :numref:`dtg_distributor_worker`.
+
+.. _dtg_distributor_worker:
+
+.. figure:: img/dtg_distributor_worker.*
+
+ Custom worker function performance drops.
+
+#. Performance issue isolation
+
+ * The functions running on CPU cores without context switches are the
+ performing scenarios. Identify lcore with ``rte_lcore`` and lcore index
+ mapping with CPU using ``rte_lcore_index``.
+
+ * The functions running on CPU cores without context switches are the
+ performing scenarios. Identify lcore with ``rte_lcore`` and lcore index
+ mapping with CPU using ``rte_lcore_index``.
+
+ * Use ``rte_thread_get_affinity`` to isolate functions running on the same
+ CPU core.
+
+#. Configuration issue isolation
+
+ * Identify core role using ``rte_eal_lcore_role`` to identify RTE, OFF and
+ SERVICE. Check performance functions are mapped to run on the cores.
+
+ * For high-performance execution logic ensure running it on correct NUMA
+ and non-master core.
+
+ * Analyze run logic with ``rte_dump_stack``, ``rte_dump_registers`` and
+ ``rte_memdump`` for more insights.
+
+ * Make use of objdump to ensure opcode is matching to the desired state.
+
+
+Is the execution cycles for dynamic service functions are not frequent?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+service functions on service cores :numref:`dtg_service`.
+
+.. _dtg_service:
+
+.. figure:: img/dtg_service.*
+
+ functions running on service cores
+
+#. Performance issue isolation
+
+ * Services configured for parallel execution should have
+ ``rte_service_lcore_count`` should be equal to
+ ``rte_service_lcore_count_services``.
+
+ * A service to run parallel on all cores should return
+ ``RTE_SERVICE_CAP_MT_SAFE`` for ``rte_service_probe_capability`` and
+ ``rte_service_map_lcore_get`` returns unique lcore.
+
+ * If service function execution cycles for dynamic service functions are
+ not frequent?
+
+ * If services share the lcore, overall execution should fit budget.
+
+#. Configuration issue isolation
+
+ * Check if service is running with ``rte_service_runstate_get``.
+
+ * Generic debug via ``rte_service_dump``.
+
+
+Is there a bottleneck in the performance of eventdev?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+#. Check for generic configuration
+
+ * Ensure the event devices created are right NUMA using
+ ``rte_event_dev_count`` and ``rte_event_dev_socket_id``.
+
+ * Check for event stages if the events are looped back into the same queue.
+
+ * If the failure is on the enqueue stage for events, check if queue depth
+ with ``rte_event_dev_info_get``.
+
+#. If there are performance drops in the enqueue stage
+
+ * Use ``rte_event_dev_dump`` to dump the eventdev information.
+
+ * Periodically checks stats for queue and port to identify the starvation.
+
+ * Check the in-flight events for the desired queue for enqueue and dequeue.
+
+
+Is there a variance in traffic manager?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Traffic Manager on TX interface :numref:`dtg_qos_tx`.
+
+.. _dtg_qos_tx:
+
+.. figure:: img/dtg_qos_tx.*
+
+ Traffic Manager just before TX.
+
+#. Identify the cause for a variance from expected behavior, is due to
+ insufficient CPU cycles. Use ``rte_tm_capabilities_get`` to fetch features
+ for hierarchies, WRED and priority schedulers to be offloaded hardware.
+
+#. Undesired flow drops can be narrowed down to WRED, priority, and rates
+ limiters.
+
+#. Isolate the flow in which the undesired drops occur. Use
+ ``rte_tn_get_number_of_leaf_node`` and flow table to ping down the leaf
+ where drops occur.
+
+#. Check the stats using ``rte_tm_stats_update`` and ``rte_tm_node_stats_read``
+ for drops for hierarchy, schedulers and WRED configurations.
+
+
+Is the packet not in the unexpected format?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Packet capture before and after processing :numref:`dtg_pdump`.
+
+.. _dtg_pdump:
+
+.. figure:: img/dtg_pdump.*
+
+ Capture points of Traffic at RX-TX.
+
+#. To isolate the possible packet corruption in the processing pipeline,
+ carefully staged capture packets are to be implemented.
+
+ * First, isolate at NIC entry and exit.
+
+ Use pdump in primary to allow secondary to access port-queue pair. The
+ packets get copied over in RX|TX callback by the secondary process using
+ ring buffers.
+
+ * Second, isolate at pipeline entry and exit.
+
+ Using hooks or callbacks capture the packet middle of the pipeline stage
+ to copy the packets, which can be shared to the secondary debug process
+ via user-defined custom rings.
+
+.. note::
+
+ Use similar analysis to objects and metadata corruption.
+
+
+Does the issue still persist?
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+The issue can be further narrowed down to the following causes.
+
+#. If there are vendor or application specific metadata, check for errors due
+ to META data error flags. Dumping private meta-data in the objects can give
+ insight into details for debugging.
+
+#. If there are multi-process for either data or configuration, check for
+ possible errors in the secondary process where the configuration fails and
+ possible data corruption in the data plane.
+
+#. Random drops in the RX or TX when opening other application is an indication
+ of the effect of a noisy neighbor. Try using the cache allocation technique
+ to minimize the effect between applications.
+
+
+How to develop a custom code to debug?
+--------------------------------------
+
+#. For an application that runs as the primary process only, debug functionality
+ is added in the same process. These can be invoked by timer call-back,
+ service core and signal handler.
+
+#. For the application that runs as multiple processes. debug functionality in
+ a standalone secondary process.
diff --git a/doc/guides/howto/index.rst b/doc/guides/howto/index.rst
index a642a2b..a4c1316 100644
--- a/doc/guides/howto/index.rst
+++ b/doc/guides/howto/index.rst
@@ -18,3 +18,4 @@ HowTo Guides
virtio_user_as_exceptional_path
packet_capture_framework
telemetry
+ debug_troubleshoot