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perf/nvmf: save per initiator results to a file

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Save each initiator results to a .csv file. Useful
for a bit more insight than aggregated results.

Change-Id: I1fafe52ba78f2c62abfd0e3c863505515a363cd3
Signed-off-by: Karol Latecki <karol.latecki@intel.com>
Reviewed-on: https://review.spdk.io/gerrit/c/spdk/spdk/+/3053
Tested-by: SPDK CI Jenkins <sys_sgci@intel.com>
Community-CI: Broadcom CI
Community-CI: Mellanox Build Bot
Reviewed-by: Tomasz Zawadzki <tomasz.zawadzki@intel.com>
Reviewed-by: Jim Harris <james.r.harris@intel.com>
Reviewed-by: Maciej Wawryk <maciejx.wawryk@intel.com>
This commit is contained in:
Karol Latecki 2020-06-25 11:56:05 +02:00 committed by Tomasz Zawadzki
parent 784553b681
commit baa1f8a4a1
1 changed files with 14 additions and 11 deletions
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25
scripts/perf/nvmf/run_nvmf.py
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@ -126,16 +126,15 @@ class Target(Server):
fio_files = filter(lambda x: ".fio" in x, files)
json_files = [x for x in files if ".json" in x]
header_line = ",".join(["Name",
"read_iops", "read_bw", "read_avg_lat_us", "read_min_lat_us", "read_max_lat_us",
"read_p99_lat_us", "read_p99.9_lat_us", "read_p99.99_lat_us", "read_p99.999_lat_us",
"write_iops", "write_bw", "write_avg_lat_us", "write_min_lat_us", "write_max_lat_us",
"write_p99_lat_us", "write_p99.9_lat_us", "write_p99.99_lat_us", "write_p99.999_lat_us"])
# Create empty results file
csv_file = "nvmf_results.csv"
with open(os.path.join(results_dir, csv_file), "w") as fh:
header_line = ",".join(["Name",
"read_iops", "read_bw", "read_avg_lat_us",
"read_min_lat_us", "read_max_lat_us", "read_p99_lat_us",
"read_p99.9_lat_us", "read_p99.99_lat_us", "read_p99.999_lat_us",
"write_iops", "write_bw", "write_avg_lat_us",
"write_min_lat_us", "write_max_lat_us", "write_p99_lat_us",
"write_p99.9_lat_us", "write_p99.99_lat_us", "write_p99.999_lat_us"])
fh.write(header_line + "\n")
rows = set()
@ -159,6 +158,7 @@ class Target(Server):
self.log_print("\tGetting stats for initiator %s" % i)
# There may have been more than 1 test run for this job, calculate average results for initiator
i_results = [x for x in job_result_files if i in x]
i_results_filename = re.sub(r"run_\d+_", "", i_results[0].replace("json", "csv"))
separate_stats = []
for r in i_results:
@ -166,12 +166,15 @@ class Target(Server):
separate_stats.append(stats)
self.log_print(stats)
z = [sum(c) for c in zip(*separate_stats)]
z = [c/len(separate_stats) for c in z]
inits_avg_results.append(z)
init_results = [sum(x) for x in zip(*separate_stats)]
init_results = [x / len(separate_stats) for x in init_results]
inits_avg_results.append(init_results)
self.log_print("\tAverage results for initiator %s" % i)
self.log_print(z)
self.log_print(init_results)
with open(os.path.join(results_dir, i_results_filename), "w") as fh:
fh.write(header_line + "\n")
fh.write(",".join([job_name, *["{0:.3f}".format(x) for x in init_results]]) + "\n")
# Sum average results of all initiators running this FIO job
self.log_print("\tTotal results for %s from all initiators" % fio_config)