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Allow to graph results from TCP links at 100Gbps nicely.

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This commit is contained in:
fmontorsi 2019-08-08 11:40:33 +02:00
parent 9cdef8aa0c
commit 5f95e53e0f
2 changed files with 10 additions and 6 deletions
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1
perf/generate_csv.sh
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@ -81,6 +81,7 @@ function generate_output_file()
fi fi
echo "Resetting output file $OUTPUT_FILE_TXT and $OUTPUT_FILE_CSV" echo "Resetting output file $OUTPUT_FILE_TXT and $OUTPUT_FILE_CSV"
mkdir -p ${OUTPUT_DIR}
> $OUTPUT_FILE_TXT > $OUTPUT_FILE_TXT
echo "$CSV_HEADER_LINE" > $OUTPUT_FILE_CSV echo "$CSV_HEADER_LINE" > $OUTPUT_FILE_CSV

15
perf/generate_graphs.py
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@ -5,11 +5,14 @@
# and that locally there is the "results" folder. # and that locally there is the "results" folder.
# #
# configurable values: # results for TCP:
INPUT_FILE_PUSHPULL_TCP_THROUGHPUT="results/pushpull_tcp_thr_results.csv" INPUT_FILE_PUSHPULL_TCP_THROUGHPUT="results/pushpull_tcp_thr_results.csv"
INPUT_FILE_REQREP_TCP_LATENCY="results/reqrep_tcp_lat_results.csv"
TCP_LINK_GPBS=100
# results for INPROC:
INPUT_FILE_PUSHPULL_INPROC_THROUGHPUT="results/pushpull_inproc_thr_results.csv" INPUT_FILE_PUSHPULL_INPROC_THROUGHPUT="results/pushpull_inproc_thr_results.csv"
INPUT_FILE_PUBSUBPROXY_INPROC_THROUGHPUT="results/pubsubproxy_inproc_thr_results.csv" INPUT_FILE_PUBSUBPROXY_INPROC_THROUGHPUT="results/pubsubproxy_inproc_thr_results.csv"
INPUT_FILE_REQREP_TCP_LATENCY="results/reqrep_tcp_lat_results.csv"
# dependencies # dependencies
@ -23,7 +26,7 @@ import numpy as np
# functions # functions
def plot_throughput(csv_filename, title, force_10gb_limits=False): def plot_throughput(csv_filename, title, is_tcp=False):
message_size_bytes, message_count, pps, mbps = np.loadtxt(csv_filename, delimiter=',', unpack=True) message_size_bytes, message_count, pps, mbps = np.loadtxt(csv_filename, delimiter=',', unpack=True)
fig, ax1 = plt.subplots() fig, ax1 = plt.subplots()
@ -40,8 +43,8 @@ def plot_throughput(csv_filename, title, force_10gb_limits=False):
ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis
ax2.set_ylabel('Throughput [Gb/s]', color=color) ax2.set_ylabel('Throughput [Gb/s]', color=color)
ax2.semilogx(message_size_bytes, mbps / 1e3, label='Throughput [Gb/s]', marker='o') ax2.semilogx(message_size_bytes, mbps / 1e3, label='Throughput [Gb/s]', marker='o')
if force_10gb_limits: if is_tcp:
ax2.set_yticks(np.arange(0, 11, 1)) ax2.set_yticks(np.arange(0, TCP_LINK_GPBS + 1, TCP_LINK_GPBS/10))
ax2.tick_params(axis='y', labelcolor=color) ax2.tick_params(axis='y', labelcolor=color)
ax2.grid(True) ax2.grid(True)
@ -64,7 +67,7 @@ def plot_latency(csv_filename, title):
# main # main
plot_throughput(INPUT_FILE_PUSHPULL_TCP_THROUGHPUT, 'ZeroMQ PUSH/PULL socket throughput, TCP transport', force_10gb_limits=True) plot_throughput(INPUT_FILE_PUSHPULL_TCP_THROUGHPUT, 'ZeroMQ PUSH/PULL socket throughput, TCP transport', is_tcp=True)
plot_throughput(INPUT_FILE_PUSHPULL_INPROC_THROUGHPUT, 'ZeroMQ PUSH/PULL socket throughput, INPROC transport') plot_throughput(INPUT_FILE_PUSHPULL_INPROC_THROUGHPUT, 'ZeroMQ PUSH/PULL socket throughput, INPROC transport')
plot_throughput(INPUT_FILE_PUBSUBPROXY_INPROC_THROUGHPUT, 'ZeroMQ PUB/SUB PROXY socket throughput, INPROC transport') plot_throughput(INPUT_FILE_PUBSUBPROXY_INPROC_THROUGHPUT, 'ZeroMQ PUB/SUB PROXY socket throughput, INPROC transport')
plot_latency(INPUT_FILE_REQREP_TCP_LATENCY, 'ZeroMQ REQ/REP socket latency, TCP transport') plot_latency(INPUT_FILE_REQREP_TCP_LATENCY, 'ZeroMQ REQ/REP socket latency, TCP transport')