1bc2a2d9e9
In case of latest fio versions "percentile" leaf for clat latency measurements does not get created in case no IO was run (e.g. write clat will not have "percentiles" created in case rw mode was set to randread). This caused KeyError exception when trying to access non- existent dict key. Change-Id: Ie0c28dc932481e5aab971505ba0f38b6798bff36 Signed-off-by: Karol Latecki <karol.latecki@intel.com> Reviewed-on: https://review.spdk.io/gerrit/c/spdk/spdk/+/5466 Tested-by: SPDK CI Jenkins <sys_sgci@intel.com> Reviewed-by: Tomasz Zawadzki <tomasz.zawadzki@intel.com> Reviewed-by: John Kariuki <John.K.Kariuki@intel.com> Reviewed-by: Aleksey Marchuk <alexeymar@mellanox.com>
955 lines
42 KiB
Python
Executable File
955 lines
42 KiB
Python
Executable File
#!/usr/bin/env python3
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import os
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import re
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import sys
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import json
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import paramiko
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import zipfile
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import threading
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import subprocess
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import itertools
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import time
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import uuid
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import rpc
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import rpc.client
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import pandas as pd
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from collections import OrderedDict
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from common import *
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class Server:
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def __init__(self, name, username, password, mode, nic_ips, transport):
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self.name = name
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self.mode = mode
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self.username = username
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self.password = password
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self.nic_ips = nic_ips
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self.transport = transport.lower()
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if not re.match("^[A-Za-z0-9]*$", name):
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self.log_print("Please use a name which contains only letters or numbers")
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sys.exit(1)
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def log_print(self, msg):
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print("[%s] %s" % (self.name, msg), flush=True)
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class Target(Server):
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def __init__(self, name, username, password, mode, nic_ips, transport="rdma",
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null_block_devices=0, sar_settings=None, pcm_settings=None,
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bandwidth_settings=None, dpdk_settings=None):
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super(Target, self).__init__(name, username, password, mode, nic_ips, transport)
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self.null_block = null_block_devices
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self.enable_sar = False
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self.enable_pcm_memory = False
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self.enable_pcm = False
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self.enable_bandwidth = False
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self.enable_dpdk_memory = False
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if sar_settings:
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self.enable_sar, self.sar_delay, self.sar_interval, self.sar_count = sar_settings
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if pcm_settings:
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self.pcm_dir, self.enable_pcm, self.enable_pcm_memory, self.pcm_delay, self.pcm_interval, self.pcm_count = pcm_settings
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if bandwidth_settings:
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self.enable_bandwidth, self.bandwidth_count = bandwidth_settings
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if dpdk_settings:
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self.enable_dpdk_memory, self.dpdk_wait_time = dpdk_settings
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self.script_dir = os.path.dirname(os.path.abspath(sys.argv[0]))
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self.spdk_dir = os.path.abspath(os.path.join(self.script_dir, "../../../"))
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def zip_spdk_sources(self, spdk_dir, dest_file):
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self.log_print("Zipping SPDK source directory")
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fh = zipfile.ZipFile(dest_file, "w", zipfile.ZIP_DEFLATED)
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for root, directories, files in os.walk(spdk_dir, followlinks=True):
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for file in files:
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fh.write(os.path.relpath(os.path.join(root, file)))
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fh.close()
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self.log_print("Done zipping")
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def read_json_stats(self, file):
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with open(file, "r") as json_data:
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data = json.load(json_data)
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job_pos = 0 # job_post = 0 because using aggregated results
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# Check if latency is in nano or microseconds to choose correct dict key
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def get_lat_unit(key_prefix, dict_section):
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# key prefix - lat, clat or slat.
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# dict section - portion of json containing latency bucket in question
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# Return dict key to access the bucket and unit as string
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for k, v in dict_section.items():
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if k.startswith(key_prefix):
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return k, k.split("_")[1]
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def get_clat_percentiles(clat_dict_leaf):
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if "percentile" in clat_dict_leaf:
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p99_lat = float(clat_dict_leaf["percentile"]["99.000000"])
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p99_9_lat = float(clat_dict_leaf["percentile"]["99.900000"])
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p99_99_lat = float(clat_dict_leaf["percentile"]["99.990000"])
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p99_999_lat = float(clat_dict_leaf["percentile"]["99.999000"])
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return [p99_lat, p99_9_lat, p99_99_lat, p99_999_lat]
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else:
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# Latest fio versions do not provide "percentile" results if no
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# measurements were done, so just return zeroes
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return [0, 0, 0, 0]
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read_iops = float(data["jobs"][job_pos]["read"]["iops"])
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read_bw = float(data["jobs"][job_pos]["read"]["bw"])
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lat_key, lat_unit = get_lat_unit("lat", data["jobs"][job_pos]["read"])
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read_avg_lat = float(data["jobs"][job_pos]["read"][lat_key]["mean"])
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read_min_lat = float(data["jobs"][job_pos]["read"][lat_key]["min"])
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read_max_lat = float(data["jobs"][job_pos]["read"][lat_key]["max"])
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clat_key, clat_unit = get_lat_unit("clat", data["jobs"][job_pos]["read"])
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read_p99_lat, read_p99_9_lat, read_p99_99_lat, read_p99_999_lat = get_clat_percentiles(
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data["jobs"][job_pos]["read"][clat_key])
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if "ns" in lat_unit:
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read_avg_lat, read_min_lat, read_max_lat = [x / 1000 for x in [read_avg_lat, read_min_lat, read_max_lat]]
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if "ns" in clat_unit:
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read_p99_lat = read_p99_lat / 1000
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read_p99_9_lat = read_p99_9_lat / 1000
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read_p99_99_lat = read_p99_99_lat / 1000
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read_p99_999_lat = read_p99_999_lat / 1000
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write_iops = float(data["jobs"][job_pos]["write"]["iops"])
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write_bw = float(data["jobs"][job_pos]["write"]["bw"])
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lat_key, lat_unit = get_lat_unit("lat", data["jobs"][job_pos]["write"])
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write_avg_lat = float(data["jobs"][job_pos]["write"][lat_key]["mean"])
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write_min_lat = float(data["jobs"][job_pos]["write"][lat_key]["min"])
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write_max_lat = float(data["jobs"][job_pos]["write"][lat_key]["max"])
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clat_key, clat_unit = get_lat_unit("clat", data["jobs"][job_pos]["write"])
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write_p99_lat, write_p99_9_lat, write_p99_99_lat, write_p99_999_lat = get_clat_percentiles(
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data["jobs"][job_pos]["write"][clat_key])
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if "ns" in lat_unit:
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write_avg_lat, write_min_lat, write_max_lat = [x / 1000 for x in [write_avg_lat, write_min_lat, write_max_lat]]
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if "ns" in clat_unit:
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write_p99_lat = write_p99_lat / 1000
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write_p99_9_lat = write_p99_9_lat / 1000
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write_p99_99_lat = write_p99_99_lat / 1000
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write_p99_999_lat = write_p99_999_lat / 1000
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return [read_iops, read_bw, read_avg_lat, read_min_lat, read_max_lat,
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read_p99_lat, read_p99_9_lat, read_p99_99_lat, read_p99_999_lat,
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write_iops, write_bw, write_avg_lat, write_min_lat, write_max_lat,
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write_p99_lat, write_p99_9_lat, write_p99_99_lat, write_p99_999_lat]
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def parse_results(self, results_dir, initiator_count=None, run_num=None):
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files = os.listdir(results_dir)
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fio_files = filter(lambda x: ".fio" in x, files)
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json_files = [x for x in files if ".json" in x]
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headers = ["read_iops", "read_bw", "read_avg_lat_us", "read_min_lat_us", "read_max_lat_us",
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"read_p99_lat_us", "read_p99.9_lat_us", "read_p99.99_lat_us", "read_p99.999_lat_us",
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"write_iops", "write_bw", "write_avg_lat_us", "write_min_lat_us", "write_max_lat_us",
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"write_p99_lat_us", "write_p99.9_lat_us", "write_p99.99_lat_us", "write_p99.999_lat_us"]
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aggr_headers = ["iops", "bw", "avg_lat_us", "min_lat_us", "max_lat_us",
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"p99_lat_us", "p99.9_lat_us", "p99.99_lat_us", "p99.999_lat_us"]
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header_line = ",".join(["Name", *headers])
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aggr_header_line = ",".join(["Name", *aggr_headers])
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# Create empty results file
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csv_file = "nvmf_results.csv"
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with open(os.path.join(results_dir, csv_file), "w") as fh:
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fh.write(aggr_header_line + "\n")
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rows = set()
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for fio_config in fio_files:
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self.log_print("Getting FIO stats for %s" % fio_config)
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job_name, _ = os.path.splitext(fio_config)
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# Look in the filename for rwmixread value. Function arguments do
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# not have that information.
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# TODO: Improve this function by directly using workload params instead
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# of regexing through filenames.
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if "read" in job_name:
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rw_mixread = 1
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elif "write" in job_name:
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rw_mixread = 0
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else:
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rw_mixread = float(re.search(r"m_(\d+)", job_name).group(1)) / 100
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# If "_CPU" exists in name - ignore it
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# Initiators for the same job could have diffrent num_cores parameter
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job_name = re.sub(r"_\d+CPU", "", job_name)
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job_result_files = [x for x in json_files if job_name in x]
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self.log_print("Matching result files for current fio config:")
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for j in job_result_files:
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self.log_print("\t %s" % j)
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# There may have been more than 1 initiator used in test, need to check that
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# Result files are created so that string after last "_" separator is server name
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inits_names = set([os.path.splitext(x)[0].split("_")[-1] for x in job_result_files])
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inits_avg_results = []
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for i in inits_names:
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self.log_print("\tGetting stats for initiator %s" % i)
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# There may have been more than 1 test run for this job, calculate average results for initiator
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i_results = [x for x in job_result_files if i in x]
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i_results_filename = re.sub(r"run_\d+_", "", i_results[0].replace("json", "csv"))
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separate_stats = []
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for r in i_results:
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stats = self.read_json_stats(os.path.join(results_dir, r))
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separate_stats.append(stats)
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self.log_print(stats)
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init_results = [sum(x) for x in zip(*separate_stats)]
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init_results = [x / len(separate_stats) for x in init_results]
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inits_avg_results.append(init_results)
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self.log_print("\tAverage results for initiator %s" % i)
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self.log_print(init_results)
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with open(os.path.join(results_dir, i_results_filename), "w") as fh:
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fh.write(header_line + "\n")
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fh.write(",".join([job_name, *["{0:.3f}".format(x) for x in init_results]]) + "\n")
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# Sum results of all initiators running this FIO job.
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# Latency results are an average of latencies from accros all initiators.
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inits_avg_results = [sum(x) for x in zip(*inits_avg_results)]
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inits_avg_results = OrderedDict(zip(headers, inits_avg_results))
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for key in inits_avg_results:
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if "lat" in key:
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inits_avg_results[key] /= len(inits_names)
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# Aggregate separate read/write values into common labels
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# Take rw_mixread into consideration for mixed read/write workloads.
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aggregate_results = OrderedDict()
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for h in aggr_headers:
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read_stat, write_stat = [float(value) for key, value in inits_avg_results.items() if h in key]
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if "lat" in h:
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_ = rw_mixread * read_stat + (1 - rw_mixread) * write_stat
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else:
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_ = read_stat + write_stat
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aggregate_results[h] = "{0:.3f}".format(_)
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rows.add(",".join([job_name, *aggregate_results.values()]))
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# Save results to file
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for row in rows:
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with open(os.path.join(results_dir, csv_file), "a") as fh:
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fh.write(row + "\n")
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self.log_print("You can find the test results in the file %s" % os.path.join(results_dir, csv_file))
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def measure_sar(self, results_dir, sar_file_name):
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self.log_print("Waiting %d delay before measuring SAR stats" % self.sar_delay)
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time.sleep(self.sar_delay)
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out = subprocess.check_output("sar -P ALL %s %s" % (self.sar_interval, self.sar_count), shell=True).decode(encoding="utf-8")
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with open(os.path.join(results_dir, sar_file_name), "w") as fh:
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for line in out.split("\n"):
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if "Average" in line and "CPU" in line:
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self.log_print("Summary CPU utilization from SAR:")
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self.log_print(line)
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if "Average" in line and "all" in line:
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self.log_print(line)
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fh.write(out)
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def measure_pcm_memory(self, results_dir, pcm_file_name):
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time.sleep(self.pcm_delay)
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pcm_memory = subprocess.Popen("%s/pcm-memory.x %s -csv=%s/%s" % (self.pcm_dir, self.pcm_interval,
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results_dir, pcm_file_name), shell=True)
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time.sleep(self.pcm_count)
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pcm_memory.kill()
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def measure_pcm(self, results_dir, pcm_file_name):
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time.sleep(self.pcm_delay)
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subprocess.run("%s/pcm.x %s -i=%s -csv=%s/%s" % (self.pcm_dir, self.pcm_interval, self.pcm_count,
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results_dir, pcm_file_name), shell=True, check=True)
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df = pd.read_csv(os.path.join(results_dir, pcm_file_name), header=[0, 1])
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df = df.rename(columns=lambda x: re.sub(r'Unnamed:[\w\s]*$', '', x))
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skt = df.loc[:, df.columns.get_level_values(1).isin({'UPI0', 'UPI1', 'UPI2'})]
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skt_pcm_file_name = "_".join(["skt", pcm_file_name])
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skt.to_csv(os.path.join(results_dir, skt_pcm_file_name), index=False)
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def measure_bandwidth(self, results_dir, bandwidth_file_name):
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bwm = subprocess.run("bwm-ng -o csv -F %s/%s -a 1 -t 1000 -c %s" % (results_dir, bandwidth_file_name,
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self.bandwidth_count), shell=True, check=True)
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def measure_dpdk_memory(self, results_dir):
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self.log_print("INFO: waiting to generate DPDK memory usage")
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time.sleep(self.dpdk_wait_time)
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self.log_print("INFO: generating DPDK memory usage")
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rpc.env.env_dpdk_get_mem_stats
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os.rename("/tmp/spdk_mem_dump.txt", "%s/spdk_mem_dump.txt" % (results_dir))
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class Initiator(Server):
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def __init__(self, name, username, password, mode, nic_ips, ip, transport="rdma", cpu_frequency=None,
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nvmecli_bin="nvme", workspace="/tmp/spdk", cpus_allowed=None,
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cpus_allowed_policy="shared", fio_bin="/usr/src/fio/fio"):
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super(Initiator, self).__init__(name, username, password, mode, nic_ips, transport)
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self.ip = ip
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self.spdk_dir = workspace
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if os.getenv('SPDK_WORKSPACE'):
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self.spdk_dir = os.getenv('SPDK_WORKSPACE')
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self.fio_bin = fio_bin
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self.cpus_allowed = cpus_allowed
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self.cpus_allowed_policy = cpus_allowed_policy
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self.cpu_frequency = cpu_frequency
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self.nvmecli_bin = nvmecli_bin
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self.ssh_connection = paramiko.SSHClient()
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self.ssh_connection.set_missing_host_key_policy(paramiko.AutoAddPolicy())
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self.ssh_connection.connect(self.ip, username=self.username, password=self.password)
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self.remote_call("sudo rm -rf %s/nvmf_perf" % self.spdk_dir)
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self.remote_call("mkdir -p %s" % self.spdk_dir)
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self.set_cpu_frequency()
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def __del__(self):
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self.ssh_connection.close()
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def put_file(self, local, remote_dest):
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ftp = self.ssh_connection.open_sftp()
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ftp.put(local, remote_dest)
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ftp.close()
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def get_file(self, remote, local_dest):
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ftp = self.ssh_connection.open_sftp()
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ftp.get(remote, local_dest)
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ftp.close()
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def remote_call(self, cmd):
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stdin, stdout, stderr = self.ssh_connection.exec_command(cmd)
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out = stdout.read().decode(encoding="utf-8")
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err = stderr.read().decode(encoding="utf-8")
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return out, err
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def copy_result_files(self, dest_dir):
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self.log_print("Copying results")
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if not os.path.exists(dest_dir):
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os.mkdir(dest_dir)
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# Get list of result files from initiator and copy them back to target
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stdout, stderr = self.remote_call("ls %s/nvmf_perf" % self.spdk_dir)
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file_list = stdout.strip().split("\n")
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for file in file_list:
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self.get_file(os.path.join(self.spdk_dir, "nvmf_perf", file),
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os.path.join(dest_dir, file))
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self.log_print("Done copying results")
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def discover_subsystems(self, address_list, subsys_no):
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num_nvmes = range(0, subsys_no)
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nvme_discover_output = ""
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for ip, subsys_no in itertools.product(address_list, num_nvmes):
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self.log_print("Trying to discover: %s:%s" % (ip, 4420 + subsys_no))
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nvme_discover_cmd = ["sudo",
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"%s" % self.nvmecli_bin,
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"discover", "-t %s" % self.transport,
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"-s %s" % (4420 + subsys_no),
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"-a %s" % ip]
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nvme_discover_cmd = " ".join(nvme_discover_cmd)
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stdout, stderr = self.remote_call(nvme_discover_cmd)
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if stdout:
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nvme_discover_output = nvme_discover_output + stdout
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subsystems = re.findall(r'trsvcid:\s(\d+)\s+' # get svcid number
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r'subnqn:\s+([a-zA-Z0-9\.\-\:]+)\s+' # get NQN id
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r'traddr:\s+(\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})', # get IP address
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nvme_discover_output) # from nvme discovery output
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subsystems = filter(lambda x: x[-1] in address_list, subsystems)
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subsystems = list(set(subsystems))
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subsystems.sort(key=lambda x: x[1])
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self.log_print("Found matching subsystems on target side:")
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for s in subsystems:
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self.log_print(s)
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return subsystems
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def gen_fio_filename_conf(self, *args, **kwargs):
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# Logic implemented in SPDKInitiator and KernelInitiator classes
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pass
|
|
|
|
def gen_fio_config(self, rw, rwmixread, block_size, io_depth, subsys_no, num_jobs=None, ramp_time=0, run_time=10):
|
|
fio_conf_template = """
|
|
[global]
|
|
ioengine={ioengine}
|
|
{spdk_conf}
|
|
thread=1
|
|
group_reporting=1
|
|
direct=1
|
|
percentile_list=50:90:99:99.5:99.9:99.99:99.999
|
|
|
|
norandommap=1
|
|
rw={rw}
|
|
rwmixread={rwmixread}
|
|
bs={block_size}
|
|
time_based=1
|
|
ramp_time={ramp_time}
|
|
runtime={run_time}
|
|
"""
|
|
if "spdk" in self.mode:
|
|
subsystems = self.discover_subsystems(self.nic_ips, subsys_no)
|
|
bdev_conf = self.gen_spdk_bdev_conf(subsystems)
|
|
self.remote_call("echo '%s' > %s/bdev.conf" % (bdev_conf, self.spdk_dir))
|
|
ioengine = "%s/build/fio/spdk_bdev" % self.spdk_dir
|
|
spdk_conf = "spdk_json_conf=%s/bdev.conf" % self.spdk_dir
|
|
else:
|
|
ioengine = "libaio"
|
|
spdk_conf = ""
|
|
out, err = self.remote_call("sudo nvme list | grep -E 'SPDK|Linux' | awk '{print $1}'")
|
|
subsystems = [x for x in out.split("\n") if "nvme" in x]
|
|
|
|
if self.cpus_allowed is not None:
|
|
self.log_print("Limiting FIO workload execution on specific cores %s" % self.cpus_allowed)
|
|
cpus_num = 0
|
|
cpus = self.cpus_allowed.split(",")
|
|
for cpu in cpus:
|
|
if "-" in cpu:
|
|
a, b = cpu.split("-")
|
|
a = int(a)
|
|
b = int(b)
|
|
cpus_num += len(range(a, b))
|
|
else:
|
|
cpus_num += 1
|
|
threads = range(0, cpus_num)
|
|
elif hasattr(self, 'num_cores'):
|
|
self.log_print("Limiting FIO workload execution to %s cores" % self.num_cores)
|
|
threads = range(0, int(self.num_cores))
|
|
else:
|
|
threads = range(0, len(subsystems))
|
|
|
|
if "spdk" in self.mode:
|
|
filename_section = self.gen_fio_filename_conf(subsystems, threads, io_depth, num_jobs)
|
|
else:
|
|
filename_section = self.gen_fio_filename_conf(threads, io_depth, num_jobs)
|
|
|
|
fio_config = fio_conf_template.format(ioengine=ioengine, spdk_conf=spdk_conf,
|
|
rw=rw, rwmixread=rwmixread, block_size=block_size,
|
|
ramp_time=ramp_time, run_time=run_time)
|
|
if num_jobs:
|
|
fio_config = fio_config + "numjobs=%s \n" % num_jobs
|
|
if self.cpus_allowed is not None:
|
|
fio_config = fio_config + "cpus_allowed=%s \n" % self.cpus_allowed
|
|
fio_config = fio_config + "cpus_allowed_policy=%s \n" % self.cpus_allowed_policy
|
|
fio_config = fio_config + filename_section
|
|
|
|
fio_config_filename = "%s_%s_%s_m_%s" % (block_size, io_depth, rw, rwmixread)
|
|
if hasattr(self, "num_cores"):
|
|
fio_config_filename += "_%sCPU" % self.num_cores
|
|
fio_config_filename += ".fio"
|
|
|
|
self.remote_call("mkdir -p %s/nvmf_perf" % self.spdk_dir)
|
|
self.remote_call("echo '%s' > %s/nvmf_perf/%s" % (fio_config, self.spdk_dir, fio_config_filename))
|
|
self.log_print("Created FIO Config:")
|
|
self.log_print(fio_config)
|
|
|
|
return os.path.join(self.spdk_dir, "nvmf_perf", fio_config_filename)
|
|
|
|
def set_cpu_frequency(self):
|
|
if self.cpu_frequency is not None:
|
|
try:
|
|
self.remote_call('sudo cpupower frequency-set -g userspace')
|
|
self.remote_call('sudo cpupower frequency-set -f %s' % self.cpu_frequency)
|
|
cmd = "sudo cpupower frequency-info"
|
|
output, error = self.remote_call(cmd)
|
|
self.log_print(output)
|
|
self.log_print(error)
|
|
except Exception:
|
|
self.log_print("ERROR: cpu_frequency will not work when intel_pstate is enabled!")
|
|
sys.exit()
|
|
else:
|
|
self.log_print("WARNING: you have disabled intel_pstate and using default cpu governance.")
|
|
|
|
def run_fio(self, fio_config_file, run_num=None):
|
|
job_name, _ = os.path.splitext(fio_config_file)
|
|
self.log_print("Starting FIO run for job: %s" % job_name)
|
|
self.log_print("Using FIO: %s" % self.fio_bin)
|
|
|
|
if run_num:
|
|
for i in range(1, run_num + 1):
|
|
output_filename = job_name + "_run_" + str(i) + "_" + self.name + ".json"
|
|
cmd = "sudo %s %s --output-format=json --output=%s" % (self.fio_bin, fio_config_file, output_filename)
|
|
output, error = self.remote_call(cmd)
|
|
self.log_print(output)
|
|
self.log_print(error)
|
|
else:
|
|
output_filename = job_name + "_" + self.name + ".json"
|
|
cmd = "sudo %s %s --output-format=json --output=%s" % (self.fio_bin, fio_config_file, output_filename)
|
|
output, error = self.remote_call(cmd)
|
|
self.log_print(output)
|
|
self.log_print(error)
|
|
self.log_print("FIO run finished. Results in: %s" % output_filename)
|
|
|
|
|
|
class KernelTarget(Target):
|
|
def __init__(self, name, username, password, mode, nic_ips, transport="rdma",
|
|
null_block_devices=0, sar_settings=None, pcm_settings=None,
|
|
bandwidth_settings=None, dpdk_settings=None, nvmet_bin="nvmetcli", **kwargs):
|
|
|
|
super(KernelTarget, self).__init__(name, username, password, mode, nic_ips, transport,
|
|
null_block_devices, sar_settings, pcm_settings, bandwidth_settings,
|
|
dpdk_settings)
|
|
self.nvmet_bin = nvmet_bin
|
|
|
|
def __del__(self):
|
|
nvmet_command(self.nvmet_bin, "clear")
|
|
|
|
def kernel_tgt_gen_subsystem_conf(self, nvme_list, address_list):
|
|
|
|
nvmet_cfg = {
|
|
"ports": [],
|
|
"hosts": [],
|
|
"subsystems": [],
|
|
}
|
|
|
|
# Split disks between NIC IP's
|
|
disks_per_ip = int(len(nvme_list) / len(address_list))
|
|
disk_chunks = [nvme_list[i * disks_per_ip:disks_per_ip + disks_per_ip * i] for i in range(0, len(address_list))]
|
|
|
|
subsys_no = 1
|
|
port_no = 0
|
|
for ip, chunk in zip(address_list, disk_chunks):
|
|
for disk in chunk:
|
|
nvmet_cfg["subsystems"].append({
|
|
"allowed_hosts": [],
|
|
"attr": {
|
|
"allow_any_host": "1",
|
|
"serial": "SPDK00%s" % subsys_no,
|
|
"version": "1.3"
|
|
},
|
|
"namespaces": [
|
|
{
|
|
"device": {
|
|
"path": disk,
|
|
"uuid": "%s" % uuid.uuid4()
|
|
},
|
|
"enable": 1,
|
|
"nsid": subsys_no
|
|
}
|
|
],
|
|
"nqn": "nqn.2018-09.io.spdk:cnode%s" % subsys_no
|
|
})
|
|
|
|
nvmet_cfg["ports"].append({
|
|
"addr": {
|
|
"adrfam": "ipv4",
|
|
"traddr": ip,
|
|
"trsvcid": "%s" % (4420 + port_no),
|
|
"trtype": "%s" % self.transport
|
|
},
|
|
"portid": subsys_no,
|
|
"referrals": [],
|
|
"subsystems": ["nqn.2018-09.io.spdk:cnode%s" % subsys_no]
|
|
})
|
|
subsys_no += 1
|
|
port_no += 1
|
|
|
|
with open("kernel.conf", "w") as fh:
|
|
fh.write(json.dumps(nvmet_cfg, indent=2))
|
|
pass
|
|
|
|
def tgt_start(self):
|
|
self.log_print("Configuring kernel NVMeOF Target")
|
|
|
|
if self.null_block:
|
|
print("Configuring with null block device.")
|
|
null_blk_list = ["/dev/nullb{}".format(x) for x in range(self.null_block)]
|
|
self.kernel_tgt_gen_subsystem_conf(null_blk_list, self.nic_ips)
|
|
self.subsys_no = len(null_blk_list)
|
|
else:
|
|
print("Configuring with NVMe drives.")
|
|
nvme_list = get_nvme_devices()
|
|
self.kernel_tgt_gen_subsystem_conf(nvme_list, self.nic_ips)
|
|
self.subsys_no = len(nvme_list)
|
|
|
|
nvmet_command(self.nvmet_bin, "clear")
|
|
nvmet_command(self.nvmet_bin, "restore kernel.conf")
|
|
self.log_print("Done configuring kernel NVMeOF Target")
|
|
|
|
|
|
class SPDKTarget(Target):
|
|
|
|
def __init__(self, name, username, password, mode, nic_ips, transport="rdma",
|
|
null_block_devices=0, null_block_dif_type=0, sar_settings=None, pcm_settings=None,
|
|
bandwidth_settings=None, dpdk_settings=None, num_shared_buffers=4096,
|
|
num_cores=1, dif_insert_strip=False, **kwargs):
|
|
|
|
super(SPDKTarget, self).__init__(name, username, password, mode, nic_ips, transport,
|
|
null_block_devices, sar_settings, pcm_settings, bandwidth_settings,
|
|
dpdk_settings)
|
|
self.num_cores = num_cores
|
|
self.num_shared_buffers = num_shared_buffers
|
|
self.null_block_dif_type = null_block_dif_type
|
|
self.dif_insert_strip = dif_insert_strip
|
|
|
|
def spdk_tgt_configure(self):
|
|
self.log_print("Configuring SPDK NVMeOF target via RPC")
|
|
numa_list = get_used_numa_nodes()
|
|
|
|
# Create RDMA transport layer
|
|
rpc.nvmf.nvmf_create_transport(self.client, trtype=self.transport,
|
|
num_shared_buffers=self.num_shared_buffers,
|
|
dif_insert_or_strip=self.dif_insert_strip)
|
|
self.log_print("SPDK NVMeOF transport layer:")
|
|
rpc.client.print_dict(rpc.nvmf.nvmf_get_transports(self.client))
|
|
|
|
if self.null_block:
|
|
nvme_section = self.spdk_tgt_add_nullblock(self.null_block)
|
|
subsystems_section = self.spdk_tgt_add_subsystem_conf(self.nic_ips, self.null_block)
|
|
else:
|
|
nvme_section = self.spdk_tgt_add_nvme_conf()
|
|
subsystems_section = self.spdk_tgt_add_subsystem_conf(self.nic_ips)
|
|
self.log_print("Done configuring SPDK NVMeOF Target")
|
|
|
|
def spdk_tgt_add_nullblock(self, null_block_count):
|
|
md_size = 0
|
|
block_size = 4096
|
|
if self.null_block_dif_type != 0:
|
|
md_size = 128
|
|
|
|
self.log_print("Adding null block bdevices to config via RPC")
|
|
for i in range(null_block_count):
|
|
self.log_print("Setting bdev protection to :%s" % self.null_block_dif_type)
|
|
rpc.bdev.bdev_null_create(self.client, 102400, block_size + md_size, "Nvme{}n1".format(i),
|
|
dif_type=self.null_block_dif_type, md_size=md_size)
|
|
self.log_print("SPDK Bdevs configuration:")
|
|
rpc.client.print_dict(rpc.bdev.bdev_get_bdevs(self.client))
|
|
|
|
def spdk_tgt_add_nvme_conf(self, req_num_disks=None):
|
|
self.log_print("Adding NVMe bdevs to config via RPC")
|
|
|
|
bdfs = get_nvme_devices_bdf()
|
|
bdfs = [b.replace(":", ".") for b in bdfs]
|
|
|
|
if req_num_disks:
|
|
if req_num_disks > len(bdfs):
|
|
self.log_print("ERROR: Requested number of disks is more than available %s" % len(bdfs))
|
|
sys.exit(1)
|
|
else:
|
|
bdfs = bdfs[0:req_num_disks]
|
|
|
|
for i, bdf in enumerate(bdfs):
|
|
rpc.bdev.bdev_nvme_attach_controller(self.client, name="Nvme%s" % i, trtype="PCIe", traddr=bdf)
|
|
|
|
self.log_print("SPDK Bdevs configuration:")
|
|
rpc.client.print_dict(rpc.bdev.bdev_get_bdevs(self.client))
|
|
|
|
def spdk_tgt_add_subsystem_conf(self, ips=None, req_num_disks=None):
|
|
self.log_print("Adding subsystems to config")
|
|
if not req_num_disks:
|
|
req_num_disks = get_nvme_devices_count()
|
|
|
|
# Distribute bdevs between provided NICs
|
|
num_disks = range(0, req_num_disks)
|
|
if len(num_disks) == 1:
|
|
disks_per_ip = 1
|
|
else:
|
|
disks_per_ip = int(len(num_disks) / len(ips))
|
|
disk_chunks = [num_disks[i * disks_per_ip:disks_per_ip + disks_per_ip * i] for i in range(0, len(ips))]
|
|
|
|
# Create subsystems, add bdevs to namespaces, add listeners
|
|
for ip, chunk in zip(ips, disk_chunks):
|
|
for c in chunk:
|
|
nqn = "nqn.2018-09.io.spdk:cnode%s" % c
|
|
serial = "SPDK00%s" % c
|
|
bdev_name = "Nvme%sn1" % c
|
|
rpc.nvmf.nvmf_create_subsystem(self.client, nqn, serial,
|
|
allow_any_host=True, max_namespaces=8)
|
|
rpc.nvmf.nvmf_subsystem_add_ns(self.client, nqn, bdev_name)
|
|
|
|
rpc.nvmf.nvmf_subsystem_add_listener(self.client, nqn,
|
|
trtype=self.transport,
|
|
traddr=ip,
|
|
trsvcid="4420",
|
|
adrfam="ipv4")
|
|
|
|
self.log_print("SPDK NVMeOF subsystem configuration:")
|
|
rpc.client.print_dict(rpc.nvmf.nvmf_get_subsystems(self.client))
|
|
|
|
def tgt_start(self):
|
|
if self.null_block:
|
|
self.subsys_no = 1
|
|
else:
|
|
self.subsys_no = get_nvme_devices_count()
|
|
self.log_print("Starting SPDK NVMeOF Target process")
|
|
nvmf_app_path = os.path.join(self.spdk_dir, "build/bin/nvmf_tgt")
|
|
command = " ".join([nvmf_app_path, "-m", self.num_cores])
|
|
proc = subprocess.Popen(command, shell=True)
|
|
self.pid = os.path.join(self.spdk_dir, "nvmf.pid")
|
|
|
|
with open(self.pid, "w") as fh:
|
|
fh.write(str(proc.pid))
|
|
self.nvmf_proc = proc
|
|
self.log_print("SPDK NVMeOF Target PID=%s" % self.pid)
|
|
self.log_print("Waiting for spdk to initilize...")
|
|
while True:
|
|
if os.path.exists("/var/tmp/spdk.sock"):
|
|
break
|
|
time.sleep(1)
|
|
self.client = rpc.client.JSONRPCClient("/var/tmp/spdk.sock")
|
|
|
|
self.spdk_tgt_configure()
|
|
|
|
def __del__(self):
|
|
if hasattr(self, "nvmf_proc"):
|
|
try:
|
|
self.nvmf_proc.terminate()
|
|
self.nvmf_proc.wait()
|
|
except Exception as e:
|
|
self.log_print(e)
|
|
self.nvmf_proc.kill()
|
|
self.nvmf_proc.communicate()
|
|
|
|
|
|
class KernelInitiator(Initiator):
|
|
def __init__(self, name, username, password, mode, nic_ips, ip, transport,
|
|
cpus_allowed=None, cpus_allowed_policy="shared",
|
|
cpu_frequency=None, fio_bin="/usr/src/fio/fio", **kwargs):
|
|
|
|
super(KernelInitiator, self).__init__(name, username, password, mode, nic_ips, ip, transport,
|
|
cpus_allowed=cpus_allowed, cpus_allowed_policy=cpus_allowed_policy,
|
|
cpu_frequency=cpu_frequency, fio_bin=fio_bin)
|
|
|
|
self.extra_params = ""
|
|
if kwargs["extra_params"]:
|
|
self.extra_params = kwargs["extra_params"]
|
|
|
|
def __del__(self):
|
|
self.ssh_connection.close()
|
|
|
|
def kernel_init_connect(self, address_list, subsys_no):
|
|
subsystems = self.discover_subsystems(address_list, subsys_no)
|
|
self.log_print("Below connection attempts may result in error messages, this is expected!")
|
|
for subsystem in subsystems:
|
|
self.log_print("Trying to connect %s %s %s" % subsystem)
|
|
self.remote_call("sudo %s connect -t %s -s %s -n %s -a %s %s" % (self.nvmecli_bin,
|
|
self.transport,
|
|
*subsystem,
|
|
self.extra_params))
|
|
time.sleep(2)
|
|
|
|
def kernel_init_disconnect(self, address_list, subsys_no):
|
|
subsystems = self.discover_subsystems(address_list, subsys_no)
|
|
for subsystem in subsystems:
|
|
self.remote_call("sudo %s disconnect -n %s" % (self.nvmecli_bin, subsystem[1]))
|
|
time.sleep(1)
|
|
|
|
def gen_fio_filename_conf(self, threads, io_depth, num_jobs=1):
|
|
out, err = self.remote_call("sudo nvme list | grep -E 'SPDK|Linux' | awk '{print $1}'")
|
|
nvme_list = [x for x in out.split("\n") if "nvme" in x]
|
|
|
|
filename_section = ""
|
|
nvme_per_split = int(len(nvme_list) / len(threads))
|
|
remainder = len(nvme_list) % len(threads)
|
|
iterator = iter(nvme_list)
|
|
result = []
|
|
for i in range(len(threads)):
|
|
result.append([])
|
|
for j in range(nvme_per_split):
|
|
result[i].append(next(iterator))
|
|
if remainder:
|
|
result[i].append(next(iterator))
|
|
remainder -= 1
|
|
for i, r in enumerate(result):
|
|
header = "[filename%s]" % i
|
|
disks = "\n".join(["filename=%s" % x for x in r])
|
|
job_section_qd = round((io_depth * len(r)) / num_jobs)
|
|
if job_section_qd == 0:
|
|
job_section_qd = 1
|
|
iodepth = "iodepth=%s" % job_section_qd
|
|
filename_section = "\n".join([filename_section, header, disks, iodepth])
|
|
|
|
return filename_section
|
|
|
|
|
|
class SPDKInitiator(Initiator):
|
|
def __init__(self, name, username, password, mode, nic_ips, ip, transport="rdma",
|
|
num_cores=1, cpus_allowed=None, cpus_allowed_policy="shared",
|
|
cpu_frequency=None, fio_bin="/usr/src/fio/fio", **kwargs):
|
|
super(SPDKInitiator, self).__init__(name, username, password, mode, nic_ips, ip, transport,
|
|
cpus_allowed=cpus_allowed, cpus_allowed_policy=cpus_allowed_policy,
|
|
cpu_frequency=cpu_frequency, fio_bin=fio_bin)
|
|
|
|
self.num_cores = num_cores
|
|
|
|
def install_spdk(self, local_spdk_zip):
|
|
self.put_file(local_spdk_zip, "/tmp/spdk_drop.zip")
|
|
self.log_print("Copied sources zip from target")
|
|
self.remote_call("unzip -qo /tmp/spdk_drop.zip -d %s" % self.spdk_dir)
|
|
|
|
self.log_print("Sources unpacked")
|
|
self.log_print("Using fio binary %s" % self.fio_bin)
|
|
self.remote_call("cd %s; git submodule update --init; make clean; ./configure --with-rdma --with-fio=%s;"
|
|
"make -j$(($(nproc)*2))" % (self.spdk_dir, os.path.dirname(self.fio_bin)))
|
|
|
|
self.log_print("SPDK built")
|
|
self.remote_call("sudo %s/scripts/setup.sh" % self.spdk_dir)
|
|
|
|
def gen_spdk_bdev_conf(self, remote_subsystem_list):
|
|
bdev_cfg_section = {
|
|
"subsystems": [
|
|
{
|
|
"subsystem": "bdev",
|
|
"config": []
|
|
}
|
|
]
|
|
}
|
|
|
|
for i, subsys in enumerate(remote_subsystem_list):
|
|
sub_port, sub_nqn, sub_addr = map(lambda x: str(x), subsys)
|
|
nvme_ctrl = {
|
|
"method": "bdev_nvme_attach_controller",
|
|
"params": {
|
|
"name": "Nvme{}".format(i),
|
|
"trtype": self.transport,
|
|
"traddr": sub_addr,
|
|
"trsvcid": sub_port,
|
|
"subnqn": sub_nqn,
|
|
"adrfam": "IPv4"
|
|
}
|
|
}
|
|
bdev_cfg_section["subsystems"][0]["config"].append(nvme_ctrl)
|
|
|
|
return json.dumps(bdev_cfg_section, indent=2)
|
|
|
|
def gen_fio_filename_conf(self, subsystems, threads, io_depth, num_jobs=1):
|
|
filename_section = ""
|
|
if len(threads) >= len(subsystems):
|
|
threads = range(0, len(subsystems))
|
|
filenames = ["Nvme%sn1" % x for x in range(0, len(subsystems))]
|
|
nvme_per_split = int(len(subsystems) / len(threads))
|
|
remainder = len(subsystems) % len(threads)
|
|
iterator = iter(filenames)
|
|
result = []
|
|
for i in range(len(threads)):
|
|
result.append([])
|
|
for j in range(nvme_per_split):
|
|
result[i].append(next(iterator))
|
|
if remainder:
|
|
result[i].append(next(iterator))
|
|
remainder -= 1
|
|
for i, r in enumerate(result):
|
|
header = "[filename%s]" % i
|
|
disks = "\n".join(["filename=%s" % x for x in r])
|
|
job_section_qd = round((io_depth * len(r)) / num_jobs)
|
|
if job_section_qd == 0:
|
|
job_section_qd = 1
|
|
iodepth = "iodepth=%s" % job_section_qd
|
|
filename_section = "\n".join([filename_section, header, disks, iodepth])
|
|
|
|
return filename_section
|
|
|
|
|
|
if __name__ == "__main__":
|
|
spdk_zip_path = "/tmp/spdk.zip"
|
|
target_results_dir = "/tmp/results"
|
|
|
|
if (len(sys.argv) > 1):
|
|
config_file_path = sys.argv[1]
|
|
else:
|
|
script_full_dir = os.path.dirname(os.path.realpath(__file__))
|
|
config_file_path = os.path.join(script_full_dir, "config.json")
|
|
|
|
print("Using config file: %s" % config_file_path)
|
|
with open(config_file_path, "r") as config:
|
|
data = json.load(config)
|
|
|
|
initiators = []
|
|
fio_cases = []
|
|
|
|
for k, v in data.items():
|
|
if "target" in k:
|
|
if data[k]["mode"] == "spdk":
|
|
target_obj = SPDKTarget(name=k, **data["general"], **v)
|
|
elif data[k]["mode"] == "kernel":
|
|
target_obj = KernelTarget(name=k, **data["general"], **v)
|
|
elif "initiator" in k:
|
|
if data[k]["mode"] == "spdk":
|
|
init_obj = SPDKInitiator(name=k, **data["general"], **v)
|
|
elif data[k]["mode"] == "kernel":
|
|
init_obj = KernelInitiator(name=k, **data["general"], **v)
|
|
initiators.append(init_obj)
|
|
elif "fio" in k:
|
|
fio_workloads = itertools.product(data[k]["bs"],
|
|
data[k]["qd"],
|
|
data[k]["rw"])
|
|
|
|
fio_run_time = data[k]["run_time"]
|
|
fio_ramp_time = data[k]["ramp_time"]
|
|
fio_rw_mix_read = data[k]["rwmixread"]
|
|
fio_run_num = data[k]["run_num"] if "run_num" in data[k].keys() else None
|
|
fio_num_jobs = data[k]["num_jobs"] if "num_jobs" in data[k].keys() else None
|
|
else:
|
|
continue
|
|
|
|
# Copy and install SPDK on remote initiators
|
|
if "skip_spdk_install" not in data["general"]:
|
|
target_obj.zip_spdk_sources(target_obj.spdk_dir, spdk_zip_path)
|
|
threads = []
|
|
for i in initiators:
|
|
if i.mode == "spdk":
|
|
t = threading.Thread(target=i.install_spdk, args=(spdk_zip_path,))
|
|
threads.append(t)
|
|
t.start()
|
|
for t in threads:
|
|
t.join()
|
|
|
|
target_obj.tgt_start()
|
|
|
|
# Poor mans threading
|
|
# Run FIO tests
|
|
for block_size, io_depth, rw in fio_workloads:
|
|
threads = []
|
|
configs = []
|
|
for i in initiators:
|
|
if i.mode == "kernel":
|
|
i.kernel_init_connect(i.nic_ips, target_obj.subsys_no)
|
|
|
|
cfg = i.gen_fio_config(rw, fio_rw_mix_read, block_size, io_depth, target_obj.subsys_no,
|
|
fio_num_jobs, fio_ramp_time, fio_run_time)
|
|
configs.append(cfg)
|
|
|
|
for i, cfg in zip(initiators, configs):
|
|
t = threading.Thread(target=i.run_fio, args=(cfg, fio_run_num))
|
|
threads.append(t)
|
|
if target_obj.enable_sar:
|
|
sar_file_name = "_".join([str(block_size), str(rw), str(io_depth), "sar"])
|
|
sar_file_name = ".".join([sar_file_name, "txt"])
|
|
t = threading.Thread(target=target_obj.measure_sar, args=(target_results_dir, sar_file_name))
|
|
threads.append(t)
|
|
|
|
if target_obj.enable_pcm:
|
|
pcm_file_name = "_".join(["pcm_cpu", str(block_size), str(rw), str(io_depth)])
|
|
pcm_file_name = ".".join([pcm_file_name, "csv"])
|
|
t = threading.Thread(target=target_obj.measure_pcm, args=(target_results_dir, pcm_file_name,))
|
|
threads.append(t)
|
|
|
|
if target_obj.enable_pcm_memory:
|
|
pcm_file_name = "_".join(["pcm_memory", str(block_size), str(rw), str(io_depth)])
|
|
pcm_file_name = ".".join([pcm_file_name, "csv"])
|
|
t = threading.Thread(target=target_obj.measure_pcm_memory, args=(target_results_dir, pcm_file_name,))
|
|
threads.append(t)
|
|
|
|
if target_obj.enable_bandwidth:
|
|
bandwidth_file_name = "_".join(["bandwidth", str(block_size), str(rw), str(io_depth)])
|
|
bandwidth_file_name = ".".join([bandwidth_file_name, "csv"])
|
|
t = threading.Thread(target=target_obj.measure_bandwidth, args=(target_results_dir, bandwidth_file_name,))
|
|
threads.append(t)
|
|
|
|
if target_obj.enable_dpdk_memory:
|
|
t = threading.Thread(target=target_obj.measure_dpdk_memory, args=(target_results_dir))
|
|
threads.append(t)
|
|
|
|
for t in threads:
|
|
t.start()
|
|
for t in threads:
|
|
t.join()
|
|
|
|
for i in initiators:
|
|
if i.mode == "kernel":
|
|
i.kernel_init_disconnect(i.nic_ips, target_obj.subsys_no)
|
|
i.copy_result_files(target_results_dir)
|
|
|
|
target_obj.parse_results(target_results_dir)
|