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45 lines
1.7 KiB
45 lines
1.7 KiB
import matplotlib.pyplot as plt
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x = [128, 256, 512, 1024, 2048, 3072, 4096]
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y_w = [
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[52.8, 67.0, 60.8, 52.3, 42.2, 34.2, 30.2],# noKVSep
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[44.2, 87.5, 139.5, 274.2 ,426.3, 576.2, 770.4], # kvSepBeforeMem
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[59.9, 102.4 ,147.9 ,173.5, 184.2, 199.2, 206.8] #kvSepBeforeSSD
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]
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y_r = [
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[731.9, 1127.4, 1515.2, 3274.7, 4261.9, 4886.3, 4529.8],# noKVSep
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[158.9, 154.9, 145.0, 160.9 , 147.3, 144.0, 127.4], # kvSepBeforeMem
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[171.1, 136.0 ,179.8 ,169.8, 159.9, 161.5, 168.6] #kvSepBeforeSSD
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]
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y_random = [
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[2.363, 2.698, 3.972, 3.735, 7.428, 12.137, 17.753],# noKVSep
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[2.957, 2.953, 3.417, 3.363 ,3.954, 17.516, 79.023], # kvSepBeforeMem
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[2.927, 2.739 ,2.947, 3.604, 3.530, 19.189, 80.608] #kvSepBeforeSSD
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]
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plt.figure(num = 1)
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plt.title("Write Performance(fillrandom)")
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plt.xlabel("Value size(B)")
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plt.ylabel("Throughout(MiB/s)")
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l1 = plt.plot(x, y_w[0], "bo", linestyle = "dashed")
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l1 = plt.plot(x, y_w[1], "g^", linestyle = "dashed")
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l1 = plt.plot(x, y_w[2], "y+", linestyle = "dashed")
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plt.legend(["noKVSep", "kvSepBeforeMem", "kvSepBeforeSSD"])
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plt.show()
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plt.figure(num = 1)
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plt.title("Read Performance(readreverse)")
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plt.xlabel("Value size(B)")
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plt.ylabel("Throughout(MiB/s)")
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l1 = plt.plot(x, y_r[0], "bo", linestyle = "dashed")
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l1 = plt.plot(x, y_r[1], "g^", linestyle = "dashed")
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l1 = plt.plot(x, y_r[2], "y+", linestyle = "dashed")
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plt.legend(["noKVSep", "kvSepBeforeMem", "kvSepBeforeSSD"])
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plt.show()
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plt.title("Read Performance(readrandom)")
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plt.xlabel("Value size(B)")
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plt.ylabel("Micros/op")
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l1 = plt.plot(x, y_random[0], "bo", linestyle = "dashed")
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l1 = plt.plot(x, y_random[1], "g^", linestyle = "dashed")
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l1 = plt.plot(x, y_random[2], "y+", linestyle = "dashed")
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plt.legend(["noKVSep", "kvSepBeforeMem", "kvSepBeforeSSD"])
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plt.show()
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