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scripts/perf: extract SKT section to new file

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

Signed-off-by: Maciej Wawryk <maciejx.wawryk@intel.com>
Change-Id: I52b6781a7ff99e0d894f7f1c2b25b655fa274eb1
Reviewed-on: https://review.spdk.io/gerrit/c/spdk/spdk/+/946
Reviewed-by: Shuhei Matsumoto <shuhei.matsumoto.xt@hitachi.com>
Reviewed-by: Karol Latecki <karol.latecki@intel.com>
Reviewed-by: Tomasz Zawadzki <tomasz.zawadzki@intel.com>
Tested-by: SPDK CI Jenkins <sys_sgci@intel.com>
This commit is contained in:
Maciej Wawryk 2020-02-18 15:13:00 +01:00 committed by Tomasz Zawadzki
parent 336505abbf
commit 23f78f22cf
1 changed files with 6 additions and 0 deletions
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6
scripts/perf/nvmf/run_nvmf.py
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@ -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):