Commit 23f78f22 authored by Maciej Wawryk's avatar Maciej Wawryk Committed by Tomasz Zawadzki
Browse files

scripts/perf: extract SKT section to new file 



PCM cpu measure give as result 1306 columns, we want check only ones which contains
SKTdata and SKTtraffic values.

Signed-off-by: default avatarMaciej Wawryk <maciejx.wawryk@intel.com>
Change-Id: I52b6781a7ff99e0d894f7f1c2b25b655fa274eb1
Reviewed-on: https://review.spdk.io/gerrit/c/spdk/spdk/+/946


Reviewed-by: default avatarShuhei Matsumoto <shuhei.matsumoto.xt@hitachi.com>
Reviewed-by: default avatarKarol Latecki <karol.latecki@intel.com>
Reviewed-by: default avatarTomasz Zawadzki <tomasz.zawadzki@intel.com>
Tested-by: default avatarSPDK CI Jenkins <sys_sgci@intel.com>
parent 336505ab

scripts/perf/nvmf/run_nvmf.py

+6 −0
Original line number Diff line number Diff line
@@ -13,6 +13,7 @@ import time 
import uuid

import rpc

import rpc.client

import pandas as pd

from common import *
@@ -193,6 +194,11 @@ class Target(Server): 
        time.sleep(self.pcm_delay)

        subprocess.run("%s/pcm.x %s -i=%s -csv=%s/%s" % (self.pcm_dir, self.pcm_interval, self.pcm_count,

                       results_dir, pcm_file_name), shell=True, check=True)

        df = pd.read_csv(os.path.join(results_dir, pcm_file_name), header=[0, 1])

        df = df.rename(columns=lambda x: re.sub(r'Unnamed:[\w\s]*$', '', x))

        skt = df.loc[:, df.columns.get_level_values(1).isin({'UPI0', 'UPI1', 'UPI2'})]

        skt_pcm_file_name = "_".join(["skt", pcm_file_name])

        skt.to_csv(os.path.join(results_dir, skt_pcm_file_name), index=False)





class Initiator(Server):